diff --git a/dist/datamodel/parser/BinarySlddParser.d.ts.map b/dist/datamodel/parser/BinarySlddParser.d.ts.map
index 6723d8b5..feac42ca 100644
--- a/dist/datamodel/parser/BinarySlddParser.d.ts.map
+++ b/dist/datamodel/parser/BinarySlddParser.d.ts.map
@@ -1 +1 @@
-{"version":3,"file":"BinarySlddParser.d.ts","sourceRoot":"","sources":["../../../src/datamodel/parser/BinarySlddParser.ts"],"names":[],"mappings":"AAgDA,OAAO,EAAY,KAAK,YAAY,EAAE,MAAM,mBAAmB,CAAC;AA6BhE,OAAO,EAA2E,KAAK,IAAI,EAAE,MAAM,kBAAkB,CAAC;AAgCtH;;;;;;;;;;;;;;;;;;;;;;GAsBG;AACH,wBAAgB,SAAS,CAAC,SAAS,EAAE,MAAM,GAAG,MAAM,EAAE,CAkBrD;AAED;;;;;;;;;;;;;;;GAeG;AACH,wBAAgB,eAAe,CAC7B,WAAW,EAAE,WAAW,EACxB,QAAQ,CAAC,EAAE,YAAY,EAAE,GACxB,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAoDzB;AAQD,wBAAgB,oBAAoB,CAClC,SAAS,EAAE,MAAM,EACjB,WAAW,EAAE,MAAM,CAAC,MAAM,EAAE,UAAU,CAAC,EACvC,QAAQ,CAAC,EAAE,YAAY,EAAE,GACxB,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAiKzB;AAuLD;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;GA8CG;AACH,wBAAgB,UAAU,CAAC,GAAG,EAAE,MAAM,EAAE,IAAI,CAAC,EAAE;IAAE,SAAS,EAAE,MAAM,CAAA;CAAE,GAAG;IAAE,KAAK,EAAE,IAAI,EAAE,CAAC;IAAC,KAAK,EAAE,OAAO,CAAA;CAAE,CAuIvG;AAwsBD,wBAAgB,oBAAoB,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,EAAE,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,EAAE,CAExE"}
\ No newline at end of file
+{"version":3,"file":"BinarySlddParser.d.ts","sourceRoot":"","sources":["../../../src/datamodel/parser/BinarySlddParser.ts"],"names":[],"mappings":"AAgDA,OAAO,EAAY,KAAK,YAAY,EAAE,MAAM,mBAAmB,CAAC;AA8BhE,OAAO,EAA2E,KAAK,IAAI,EAAE,MAAM,kBAAkB,CAAC;AAgCtH;;;;;;;;;;;;;;;;;;;;;;GAsBG;AACH,wBAAgB,SAAS,CAAC,SAAS,EAAE,MAAM,GAAG,MAAM,EAAE,CAkBrD;AAED;;;;;;;;;;;;;;;GAeG;AACH,wBAAgB,eAAe,CAC7B,WAAW,EAAE,WAAW,EACxB,QAAQ,CAAC,EAAE,YAAY,EAAE,GACxB,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAoDzB;AAQD,wBAAgB,oBAAoB,CAClC,SAAS,EAAE,MAAM,EACjB,WAAW,EAAE,MAAM,CAAC,MAAM,EAAE,UAAU,CAAC,EACvC,QAAQ,CAAC,EAAE,YAAY,EAAE,GACxB,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAiKzB;AAuLD;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;GA8CG;AACH,wBAAgB,UAAU,CAAC,GAAG,EAAE,MAAM,EAAE,IAAI,CAAC,EAAE;IAAE,SAAS,EAAE,MAAM,CAAA;CAAE,GAAG;IAAE,KAAK,EAAE,IAAI,EAAE,CAAC;IAAC,KAAK,EAAE,OAAO,CAAA;CAAE,CAuIvG;AAsmBD,wBAAgB,oBAAoB,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,EAAE,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,EAAE,CAExE"}
\ No newline at end of file
diff --git a/dist/datamodel/parser/BinarySlddParser.js b/dist/datamodel/parser/BinarySlddParser.js
index e059c513..207c61f1 100644
--- a/dist/datamodel/parser/BinarySlddParser.js
+++ b/dist/datamodel/parser/BinarySlddParser.js
@@ -51,6 +51,7 @@ import { DATA_PART_KEY, DATA_PART_XML, TEXT_CONTENT, TEXT_PARTS } from './SlddPa
 import { encodedStream, encodedValueOf, isEncodedValue } from './EncodedValue.js';
 import { charFromDecimal, charNeedsShape, complexClassTag, formatMatrixSerial, formatMxCharSerial, formatNumLiteral, needsExactInt, parseExactBody, parseMatlabNum, parseNumericBody, transposeFromColumnMajorND, BINARY_EMPTY_KEY, ENUM_KEY, ENUMERATION_KEY, PROPERTY_SOURCE_KEY, SAVEOBJ_KEY, } from './XmlUtils.js';
 import { setOwn } from './ownKeys.js';
+import { arrayClassOf, componentsBaseOf } from './objectArrayClass.js';
 import { headerDigits } from './Size.js';
 import { recordPackageStamps, recordReadFrame, recordReadSource } from './EntrySource.js';
 /**
@@ -836,7 +837,8 @@ function cellValue(elements, dimParts) {
 // unclassed element set decodes as the struct array it is.
 //
 // `base` is the class the array's place names, where it names one (componentsBaseOf): it is
-// the array's class whatever its elements are.
+// the array's class whatever its elements are. Both rules are objectArrayClass.ts's, which the
+// MCOS reader (McosParser) names a .mat's and a model workspace's object arrays by too.
 function objectArrayValue(elements, dimParts, base) {
     const first = elements.length > 0 ? elements[0]['@_Class'] || '' : '';
     if (!first) {
@@ -899,98 +901,6 @@ function propertySources(el) {
     }
     return sources;
 }
-/**
- * The class an object array of elements of `classes` is, as MATLAB's text format names it in
- * `_array_class`: the class every element shares; for elements of several classes, the common
- * base class where it can be derived (heterogeneousBaseOf); and otherwise the first element's,
- * which is what this reader named every such array before it kept the elements' own. A config
- * set's Components does not come here: its place names its class (componentsBaseOf).
- *
- * The first element's class is still what an array of no derivable base reads as: of the 71
- * mixed arrays the binary dictionaries of the test fixtures, the parity artifacts and the local
- * corpus hold, one, a simmechanics.ConfigurationSet's Components of two simmechanics classes.
- */
-function arrayClassOf(classes) {
-    if (classes.every((c) => c === classes[0])) {
-        return classes[0];
-    }
-    return heterogeneousBaseOf(classes) ?? classes[0];
-}
-/**
- * The common base class of an array mixing `classes`, where this reader can derive one, or
- * undefined.
- *
- * A binary dictionary does not state it: its `<P Name="UserMLArray2" Dimension="1*2">` carries
- * no Class, and each element names only its own. A text dictionary does, and two rules give the
- * base it names from the classes alone:
- * - Simulink.ConfigComponent, for an array whose classes each belong to CONFIG_COMPONENTS: every
- *   Components array of a Simulink.ConfigSet and of a Simulink.RTWCC that MATLAB wrote into a
- *   text dictionary is `_array_class` Simulink.ConfigComponent (30 of 30, in five
- *   dictionaries), over classes each listed there.
- * - The one known MathWorks class (isMathWorksClass) of an array mixing it with classes that are
- *   not: a user's class can derive from a MathWorks class and a MathWorks class never from a
- *   user's, so the MathWorks class is the base the user classes extend. A text dictionary MATLAB
- *   wrote names a Simulink.Signal subclass beside a Simulink.Signal `{"_array_class":
- *   "Simulink.Signal", …}`, and this reader read the binary twin of that array, in two
- *   dictionaries, as the subclass, the first element's class.
- * Of two MathWorks classes or more beside other classes, or of none, it names no base.
- */
-function heterogeneousBaseOf(classes) {
-    if (classes.every((c) => c === CONFIG_COMPONENT || CONFIG_COMPONENTS.has(c))) {
-        return CONFIG_COMPONENT;
-    }
-    const known = new Set(classes.filter(isMathWorksClass));
-    return known.size === 1 ? [...known][0] : undefined;
-}
-/**
- * Whether `cls` is a known MathWorks class: a class of a package whose classes this package
- * already names as MathWorks' (MATHWORKS_PACKAGES). Simulink and mpt are the packages of every
- * class the node registry, the schema and the Kind column name (NodeClassMap, schema/index,
- * kindMap), and the two the test suite tells MATLAB's own objects from custom ones by; SlCovCC,
- * Sldv and hdlcoderui are the packages of the config components CONFIG_COMPONENTS names. A class
- * of any other package, MathWorks' or not (CoderTarget, SSC, simmechanics, AUTOSAR among them),
- * is not known here, and counts as one that is not MathWorks' (heterogeneousBaseOf).
- */
-function isMathWorksClass(cls) {
-    const dot = cls.indexOf('.');
-    return dot > 0 && MATHWORKS_PACKAGES.has(cls.slice(0, dot));
-}
-/** The packages of the known MathWorks classes (isMathWorksClass). */
-const MATHWORKS_PACKAGES = new Set(['Simulink', 'mpt', 'SlCovCC', 'Sldv', 'hdlcoderui']);
-/**
- * The class the place of a property named `name` of an object of `ownerClass` names for an
- * object array there, or undefined where it names none: Simulink.ConfigComponent, for the
- * Components of a Simulink.ConfigSet or a Simulink.RTWCC, whatever components it holds.
- *
- * Every such array MATLAB wrote into a text dictionary is `_array_class`
- * Simulink.ConfigComponent (30 of 30, in five dictionaries). A binary dictionary names no base
- * for it, and can hold components no text dictionary has shown, so that CONFIG_COMPONENTS does
- * not list them: a CoderTarget.SettingsController, in seven config sets of a corpus dictionary,
- * and an SSC.SimscapeCC, in one of another. Those arrays used to read under their first
- * component's class, a Simulink.SolverCC.
- */
-function componentsBaseOf(ownerClass, name) {
-    return name === 'Components' && (ownerClass === 'Simulink.ConfigSet' || ownerClass === 'Simulink.RTWCC') ? CONFIG_COMPONENT : undefined;
-}
-const CONFIG_COMPONENT = 'Simulink.ConfigComponent';
-/** Each class MATLAB's text format lists as an element of a Simulink.ConfigComponent array (see heterogeneousBaseOf). */
-const CONFIG_COMPONENTS = new Set([
-    'Simulink.SolverCC',
-    'Simulink.DataIOCC',
-    'Simulink.OptimizationCC',
-    'Simulink.DebuggingCC',
-    'Simulink.HardwareCC',
-    'Simulink.ModelReferenceCC',
-    'Simulink.SFSimCC',
-    'Simulink.RTWCC',
-    'Simulink.CodeAppCC',
-    'Simulink.GRTTargetCC',
-    'Simulink.ERTTargetCC',
-    'Simulink.STFCustomTargetCC',
-    'SlCovCC.ConfigComp',
-    'Sldv.ConfigComp',
-    'hdlcoderui.hdlcc',
-]);
 /**
  * A classed or shaped empty, as every place a value is read holds one, an entry's Value, an
  * object's property or a struct's field, and a cell's element: its class under the bare header
diff --git a/dist/datamodel/parser/BinarySlddParser.js.map b/dist/datamodel/parser/BinarySlddParser.js.map
index e80b30de..91d3a461 100644
--- a/dist/datamodel/parser/BinarySlddParser.js.map
+++ b/dist/datamodel/parser/BinarySlddParser.js.map
@@ -1 +1 @@
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\ No newline at end of file
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diff --git a/dist/datamodel/parser/MatParser.d.ts.map b/dist/datamodel/parser/MatParser.d.ts.map
index 8304e08a..ba2c60fe 100644
--- a/dist/datamodel/parser/MatParser.d.ts.map
+++ b/dist/datamodel/parser/MatParser.d.ts.map
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/dist/datamodel/parser/MatParser.js b/dist/datamodel/parser/MatParser.js
index edc892ee..12ffa55d 100644
--- a/dist/datamodel/parser/MatParser.js
+++ b/dist/datamodel/parser/MatParser.js
@@ -25,6 +25,9 @@ const MI_MATRIX = 14;
 const MI_COMPRESSED = 15;
 const MI_UTF8 = 16;
 const MI_UTF16 = 17;
+// The array class of a single (mxSINGLE_CLASS), whose elements are read as MATLAB spells them
+// (singleDigits).
+const MX_SINGLE_CLASS = 7;
 function align8(n) {
     return n + ((8 - (n % 8)) % 8);
 }
@@ -76,7 +79,12 @@ const ELEMENT_WIDTH = {
 // four UTF-16 code units share one uint64 and the rounding lands in the LOW bits — that
 // is, on the FIRST character of every group of four ("café" -> "`afé"). See
 // test/parity/matlab/STRING_MCOS.md.
-function readNumericArray(view, sub, count) {
+//
+// `single` is whether the array is of class single (C-033): each miSINGLE element is then the
+// decimal MATLAB spells that float32 with (singleDigits), and not the double getFloat32 widens
+// it to. Any other class reads an miSINGLE element as that double, which for a double stored
+// in four bytes is its value.
+function readNumericArray(view, sub, count, single = false) {
     const values = [];
     const off = sub.dataOffset;
     // `count` comes from the array's DECLARED dimensions, which a truncated or
@@ -103,9 +111,11 @@ function readNumericArray(view, sub, count) {
             case MI_DOUBLE:
                 values.push(view.getFloat64(off + i * 8, true));
                 break;
-            case MI_SINGLE:
-                values.push(view.getFloat32(off + i * 4, true));
+            case MI_SINGLE: {
+                const x = view.getFloat32(off + i * 4, true);
+                values.push(single ? singleDigits(x) : x);
                 break;
+            }
             case MI_INT8:
                 values.push(view.getInt8(off + i));
                 break;
@@ -134,6 +144,111 @@ function readNumericArray(view, sub, count) {
     }
     return values;
 }
+/**
+ * A single as the decimal MATLAB spells it with, measured (R2027a): C's `%.6g` where that is
+ * the same float32, and otherwise `%.9g`, which always is — or `%.10g` for realmax('single'),
+ * whose `%.9g` is past it. Six is FLT_DIG, the digits every float32 holds, and nine
+ * FLT_DECIMAL_DIG, the digits that name any one; MATLAB writes a double by the same rule at
+ * fifteen and seventeen (a binary dictionary holds 1/3 as 0.33333333333333331).
+ *
+ * getFloat32 hands back the double of the same value, and every number here prints as the
+ * shortest text of its DOUBLE: single(3.3) is the double 3.299999952316284, and showed so,
+ * where both dictionaries hold MATLAB's own text for the same value, `3.3` (the corpus
+ * twins param_vars.mat / param_json.sldd, P30_TypeMaxUnitDesc; DESIGN.md recorded the
+ * difference as a limitation). It is not "the shortest decimal that is the same float32":
+ * MATLAB writes single(1/3) as 0.333333343, where 0.33333334 would do, and the smallest
+ * subnormal as 1.4013e-45, where 1e-45 would. make_typed_fixtures.m's sSingleSweep, 4,082
+ * float32 bit patterns from the smallest subnormal to realmax, holds MATLAB's text for each
+ * in a text dictionary (its binary format writes the same digits, measured), and this rule
+ * gives every one, where the shortest would differ on 3,520 (typedMcosFixtures.test.ts). It
+ * also gives every one of the 127,743 non-zero singles a customer text dictionary in the
+ * corpus holds.
+ *
+ * Lossless: the number is the same float32, so MatWriter's setFloat32 writes back the bits
+ * that were read, and a text dictionary's `0.333333343F` names them too. An infinity, a NaN
+ * and either zero are themselves.
+ */
+function singleDigits(x) {
+    if (!Number.isFinite(x) || x === 0) {
+        return x;
+    }
+    const ax = Math.abs(x);
+    let six = roundedDigits(ax, 6);
+    if (Number.isNaN(six)) {
+        six = Math.abs(Number(x.toPrecision(6)));
+    }
+    if (Math.fround(six) === ax) {
+        return x < 0 ? -six : six;
+    }
+    const nine = roundedDigits(ax, 9);
+    if (!Number.isNaN(nine)) {
+        return x < 0 ? -nine : nine;
+    }
+    const text = toPrecisionHalfEven(x, 9);
+    return Math.abs(text) > FLT_MAX ? toPrecisionHalfEven(x, 10) : text;
+}
+// The largest finite single, realmax('single').
+const FLT_MAX = 3.4028234663852886e38;
+const POWERS_OF_TEN = [1, 10, 100, 1e3, 1e4, 1e5, 1e6, 1e7, 1e8, 1e9, 1e10, 1e11, 1e12];
+/**
+ * The positive single `ax` to `p` significant digits, an exact tie to the even digit, by
+ * arithmetic that is exact: `ax * 10^j` is, for a float32 and 0 <= j <= 12 (24 bits of
+ * mantissa by at most 28 of 5^12 fit a double's 53), so it is rounded as the exact value is,
+ * and `n / 10^j` is the double nearest that decimal. NaN where `j` would fall outside that
+ * range — a single of 1e9 or more, or under 1e-4 for nine digits and 1e-7 for six — which
+ * toPrecisionHalfEven reads instead. The same numbers (every 31st float32 bit pattern, both
+ * signs, compared), in a fifth of the time: singleDigits runs once per element, and a million
+ * singles took 400 ms by toPrecision alone and take 75 ms so, against 8 ms for the bare read.
+ */
+function roundedDigits(ax, p) {
+    let j = p - 1 - Math.floor(Math.log10(ax));
+    if (j < 0 || j > 12) {
+        return NaN;
+    }
+    let y = ax * POWERS_OF_TEN[j];
+    // log10 can land a hair either side of an exponent: then `y` has a digit too many or too
+    // few, and the scale moves one place.
+    if (y >= POWERS_OF_TEN[p]) {
+        if (j === 0) {
+            return NaN;
+        }
+        y = ax * POWERS_OF_TEN[--j];
+    }
+    else if (y < POWERS_OF_TEN[p - 1]) {
+        if (j === 12) {
+            return NaN;
+        }
+        y = ax * POWERS_OF_TEN[++j];
+    }
+    const whole = Math.floor(y);
+    const rest = y - whole;
+    const n = rest > 0.5 || (rest === 0.5 && whole % 2 === 1) ? whole + 1 : whole;
+    return n / POWERS_OF_TEN[j];
+}
+/**
+ * `x` to `p` significant digits as C's printf rounds it: to the nearer, and an exact tie to
+ * the EVEN digit. toPrecision takes the one farther from zero at a tie, so single(1000000.125)
+ * came out 1000000.13 where MATLAB writes 1000000.12 (typed_mcos.sldd's sSingleTies). Only a
+ * value of exactly `p + 1` significant digits, the last a 5, is a tie; toPrecision's own text
+ * of it at `p + 1` digits is then that 5, which is what is looked for before the exact digits
+ * are.
+ */
+function toPrecisionHalfEven(x, p) {
+    const away = x.toPrecision(p);
+    if (!/5(?:e|$)/.test(x.toPrecision(p + 1))) {
+        return Number(away);
+    }
+    // Every significant digit of `x` up to a hundred, which a tie at ten has all of.
+    const digits = x.toPrecision(100).replace(/e.*$/, '').replace(/[-.]/g, '').replace(/^0+/, '');
+    if (digits[p] !== '5' || !/^0*$/.test(digits.slice(p + 1))) {
+        return Number(away);
+    }
+    // An exact tie, which goes to the even neighbour: the one nearer zero, `x` cut to `p`
+    // digits, when the last of those is even, and `away` when it is odd. The nearer one is
+    // read off a number just inside the tie: 2^-45 of `x` moves a double, and is far less
+    // than half a unit in a tenth digit.
+    return Number(digits[p - 1]) % 2 === 0 ? Number((x * (1 - 2 ** -45)).toPrecision(p)) : Number(away);
+}
 // Why the numeric part whose tag is at `at` holds none of the `count` elements its array
 // declares, or null when it holds what its bytes do. Either its tag is cut short by the end of
 // the bytes, which readSubelement reports as a tag of type 0, or its type has no width: in both
@@ -325,7 +440,9 @@ export function structElementsHeld(v) {
 // outside the declared rows is dropped, rows repeated within a column keep the LAST value
 // (as the dense scatter this replaced had it), rows out of order are sorted, and a stored
 // zero is not a non-zero.
-function readSparse(view, offset, end, dimensions, isComplex, nzmax) {
+// `single` is whether the array is of class single, whose non-zeros are read as a full
+// single array's are (readNumericArray).
+function readSparse(view, offset, end, dimensions, isComplex, nzmax, single) {
     const rows = Math.max(0, dimensions[0] || 0);
     const cols = Math.max(0, dimensions[1] || 0);
     // Each of the four reads is guarded by the END OF THIS ELEMENT, the same way the
@@ -362,13 +479,13 @@ function readSparse(view, offset, end, dimensions, isComplex, nzmax) {
     if (offset < end) {
         const prSub = readSubelement(view, offset);
         offset += prSub.totalSize;
-        pr = readNumericArray(view, prSub, nnz);
+        pr = readNumericArray(view, prSub, nnz, single);
     }
     let pi = [];
     if (isComplex && offset < end) {
         const piSub = readSubelement(view, offset);
         offset += piSub.totalSize;
-        pi = readNumericArray(view, piSub, nnz);
+        pi = readNumericArray(view, piSub, nnz, single);
     }
     // At most nnz entries, which ir's own bytes bound.
     const rowOut = new Int32Array(nnz);
@@ -795,7 +912,7 @@ export function parseMatrix(view, baseOffset, length, depth = 0) {
         // read: a host that renders values without knowing about `sparse` still shows
         // something true. A 1x1 is not unwrapped to a scalar: it has no list to unwrap.
         const nzmax = flagsSub.bytes >= 8 ? view.getUint32(flagsSub.dataOffset + 4, true) : 0;
-        result.sparse = offset < end ? readSparse(view, offset, end, dimensions, isComplex, nzmax) : emptySparse(isComplex, 0);
+        result.sparse = offset < end ? readSparse(view, offset, end, dimensions, isComplex, nzmax, arrayClass === MX_SINGLE_CLASS) : emptySparse(isComplex, 0);
         result.value = sparseValue(dimensions, className);
     }
     else if (arrayClass >= 6 && arrayClass <= 15) {
@@ -814,10 +931,10 @@ export function parseMatrix(view, baseOffset, length, depth = 0) {
                 result.undecoded = unread;
                 return result;
             }
-            const realValues = readNumericArray(view, realSub, totalElements);
+            const realValues = readNumericArray(view, realSub, totalElements, arrayClass === MX_SINGLE_CLASS);
             if (imagSub) {
                 offset += imagSub.totalSize;
-                const imagValues = readNumericArray(view, imagSub, totalElements);
+                const imagValues = readNumericArray(view, imagSub, totalElements, arrayClass === MX_SINGLE_CLASS);
                 const colMajor = realValues.map((r, i) => ({ re: r, im: imagValues[i] }));
                 result.value = transposeFromColMajor(colMajor, dimensions);
             }
diff --git a/dist/datamodel/parser/MatParser.js.map b/dist/datamodel/parser/MatParser.js.map
index 7f0cb86f..41c11718 100644
--- a/dist/datamodel/parser/MatParser.js.map
+++ b/dist/datamodel/parser/MatParser.js.map
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/dist/datamodel/parser/McosParser.d.ts.map b/dist/datamodel/parser/McosParser.d.ts.map
index ad3562dc..85fdb42b 100644
--- a/dist/datamodel/parser/McosParser.d.ts.map
+++ b/dist/datamodel/parser/McosParser.d.ts.map
@@ -1 +1 @@
-{"version":3,"file":"McosParser.d.ts","sourceRoot":"","sources":["../../../src/datamodel/parser/McosParser.ts"],"names":[],"mappings":"AAEA,OAAO,EAML,WAAW,EACZ,MAAM,gBAAgB,CAAC;AA+DxB,MAAM,WAAW,cAAc;IAC7B,IAAI,EAAE,MAAM,CAAC;IACb,SAAS,EAAE,MAAM,CAAC;IAClB,WAAW,EAAE,MAAM,CAAC;IACpB,cAAc,EAAE,MAAM,CAAC;IAOvB,UAAU,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IAGpC,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,EAAE,CAAC;IACpC,UAAU,EAAE,MAAM,EAAE,CAAC;IAErB,KAAK,EAAE,OAAO,CAAC;IAKf,cAAc,CAAC,EAAE,CAAC,MAAM,GAAG,IAAI,CAAC,EAAE,GAAG,IAAI,CAAC;IAG1C,WAAW,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;CACvC;AAqDD;;;;;;;;;;;;GAYG;AACH,MAAM,WAAW,eAAe;IAC9B,OAAO,EAAE,OAAO,CAAC;IACjB,MAAM,EAAE,MAAM,CAAC;CAChB;AAUD,eAAO,MAAM,aAAa,oBAAoB,CAAC;AAK/C,eAAO,MAAM,iBAAiB,WAAW,CAAC;AA0N1C;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;GAgCG;AACH,wBAAgB,oBAAoB,CAAC,IAAI,EAAE,WAAW,GAAG,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,GAAG,SAAS,CAwB3F;AAokBD,MAAM,WAAW,YAAY;IAC3B,IAAI,EAAE,MAAM,CAAC;IACb,SAAS,EAAE,MAAM,CAAC;IAClB,QAAQ,CAAC,EAAE,UAAU,GAAG,IAAI,CAAC;CAC9B;AAKD,MAAM,MAAM,eAAe,GAAG,IAAI,CAAC,WAAW,EAAE,MAAM,GAAG,WAAW,GAAG,YAAY,GAAG,WAAW,CAAC,CAAC;AAenG,wBAAgB,mBAAmB,CAAC,CAAC,SAAS,eAAe,EAC3D,YAAY,EAAE,UAAU,EACxB,SAAS,EAAE,SAAS,CAAC,EAAE,EACvB,MAAM,CAAC,EAAE,GAAG,CAAC,CAAC,EAAE,eAAe,CAAC,GAC/B,GAAG,CAAC,CAAC,EAAE,cAAc,CAAC,CAuHxB;AAKD,wBAAgB,cAAc,CAAC,YAAY,EAAE,UAAU,EAAE,UAAU,EAAE,YAAY,EAAE,GAAG,GAAG,CAAC,MAAM,EAAE,cAAc,CAAC,CAShH"}
\ No newline at end of file
+{"version":3,"file":"McosParser.d.ts","sourceRoot":"","sources":["../../../src/datamodel/parser/McosParser.ts"],"names":[],"mappings":"AAEA,OAAO,EAML,WAAW,EACZ,MAAM,gBAAgB,CAAC;AAiExB,MAAM,WAAW,cAAc;IAC7B,IAAI,EAAE,MAAM,CAAC;IACb,SAAS,EAAE,MAAM,CAAC;IAClB,WAAW,EAAE,MAAM,CAAC;IACpB,cAAc,EAAE,MAAM,CAAC;IASvB,UAAU,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IAGpC,QAAQ,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,EAAE,CAAC;IACpC,UAAU,EAAE,MAAM,EAAE,CAAC;IAErB,KAAK,EAAE,OAAO,CAAC;IAKf,cAAc,CAAC,EAAE,CAAC,MAAM,GAAG,IAAI,CAAC,EAAE,GAAG,IAAI,CAAC;IAG1C,WAAW,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;CACvC;AAqDD;;;;;;;;;;;;GAYG;AACH,MAAM,WAAW,eAAe;IAC9B,OAAO,EAAE,OAAO,CAAC;IACjB,MAAM,EAAE,MAAM,CAAC;CAChB;AAUD,eAAO,MAAM,aAAa,oBAAoB,CAAC;AAK/C,eAAO,MAAM,iBAAiB,WAAW,CAAC;AAsO1C;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;GAgCG;AACH,wBAAgB,oBAAoB,CAAC,IAAI,EAAE,WAAW,GAAG,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,GAAG,SAAS,CAwB3F;AA+oBD,MAAM,WAAW,YAAY;IAC3B,IAAI,EAAE,MAAM,CAAC;IACb,SAAS,EAAE,MAAM,CAAC;IAClB,QAAQ,CAAC,EAAE,UAAU,GAAG,IAAI,CAAC;CAC9B;AAKD,MAAM,MAAM,eAAe,GAAG,IAAI,CAAC,WAAW,EAAE,MAAM,GAAG,WAAW,GAAG,YAAY,GAAG,WAAW,CAAC,CAAC;AAenG,wBAAgB,mBAAmB,CAAC,CAAC,SAAS,eAAe,EAC3D,YAAY,EAAE,UAAU,EACxB,SAAS,EAAE,SAAS,CAAC,EAAE,EACvB,MAAM,CAAC,EAAE,GAAG,CAAC,CAAC,EAAE,eAAe,CAAC,GAC/B,GAAG,CAAC,CAAC,EAAE,cAAc,CAAC,CAuHxB;AAKD,wBAAgB,cAAc,CAAC,YAAY,EAAE,UAAU,EAAE,UAAU,EAAE,YAAY,EAAE,GAAG,GAAG,CAAC,MAAM,EAAE,cAAc,CAAC,CAShH"}
\ No newline at end of file
diff --git a/dist/datamodel/parser/McosParser.js b/dist/datamodel/parser/McosParser.js
index a3f23afc..52c6fff8 100644
--- a/dist/datamodel/parser/McosParser.js
+++ b/dist/datamodel/parser/McosParser.js
@@ -4,7 +4,8 @@ import { isObjectHandle, objectHandleFromRaw, objectHandleFromValue } from './Mc
 import { matStreamOfElement } from './MatWriter.js';
 import { uuencode } from './CdataCodec.js';
 import { setOwn } from './ownKeys.js';
-import { complexClassTag, ENUM_KEY, ENUMERATION_KEY, formatComplexNum, formatMatlabNum, formatMatrixSerial, isExactToken, transposeToColumnMajorND, } from './XmlUtils.js';
+import { arrayClassOf, componentsBaseOf } from './objectArrayClass.js';
+import { complexClassTag, ENUM_KEY, ENUMERATION_KEY, formatComplexNum, formatMatlabNum, formatMatrixSerial, formatNumLiteral, isExactToken, transposeToColumnMajorND, } from './XmlUtils.js';
 const MI_MATRIX = 14;
 const MAX_RECURSION_DEPTH = 32;
 // A MATLAB `string`-typed value is stored as its own MCOS object whose text lives in
@@ -205,9 +206,20 @@ function parseMetaTable(cells) {
 // joined by newlines, the form MATLAB reads as an empty [] — so a Simulink.Parameter's
 // matrix Value copied out of a .mat, a workspace or a binary dictionary's hex into a text
 // dictionary came back empty. Inf and NaN are spelled as MATLAB spells them.
-function buildMatrixValue(dims, elements) {
-    return { _type: 'double', _value: formatMatrixSerial(elements, dims, 'double') };
+//
+// Of the array's own class (C-033): `double` for a double, and for any other numeric class
+// the class itself, as BinarySlddParser.formatMatrix gives a binary dictionary's matrix of
+// that class. A 1xN row of such a class takes formatMatrixSerial's bare `[a, b, c]`, which
+// is BinarySlddParser.formatTypedVector's spelling of it.
+function buildMatrixValue(dims, elements, cls = 'double') {
+    return { _type: cls, _value: formatMatrixSerial(elements, dims, cls) };
 }
+// The real numeric classes other than double, each of which a binary dictionary's reader
+// hands the node layer typed (BinarySlddParser.formatTypedScalar, formatTypedVector,
+// formatMatrix) and this decoder used to hand over bare, which the node layer reads as a
+// double (MatlabVariableNode.parseFlatArray serves a text dictionary's bare JSON list too,
+// where double is right, so the class cannot be recovered there).
+const NON_DOUBLE_NUMERIC = new Set(['single', 'int8', 'uint8', 'int16', 'uint16', 'int32', 'uint32', 'int64', 'uint64']);
 const isComplexPair = (x) => x !== null && typeof x === 'object' && 're' in x && 'im' in x;
 /**
  * A complex numeric property in the form a compressed-binary dictionary gives the same
@@ -275,7 +287,12 @@ const isFinitePart = (x) => typeof x !== 'number' || Number.isFinite(x);
 // data model expects. Object handles recurse into nested { _object_class,
 // _properties }; structs and cells recurse into { _array_type: 'Struct'|'Cell', … }.
 // Unresolvable values return undefined (dropped).
-function resolveValue(cell, ctx, path, depth) {
+//
+// `owner` and `propName` are the class of the object whose property this is and the
+// property's name, where the value is a property's (buildProperties): the place an object
+// array sits can name its class (componentsBaseOf). A struct's field and a cell's element
+// pass neither, as the binary reader names no place for them either.
+function resolveValue(cell, ctx, path, depth, owner, propName) {
     if (!cell)
         return undefined;
     if (isObjectHandle(cell)) {
@@ -290,7 +307,23 @@ function resolveValue(cell, ctx, path, depth) {
         // BusElements): expand EVERY id into its own element, producing the same
         // value-object array shape the SLDD path emits so the data model builds one
         // child node per element instead of dropping all but the first.
-        const cls = ctx.meta.classes[ctx.meta.objects[handle.ids[0]]?.classId];
+        //
+        // The array is under the class MATLAB's text format names it by, and each element
+        // of another class carries its own `_object_class`, as the binary reader reads one:
+        // both readers use objectArrayClass.ts. This used to read the first element's class
+        // for the whole array and give no element a class of its own. So a config set's
+        // Components in a .mat read as a Simulink.SolverCC array of nine SolverCCs, and a
+        // copy of the config set wrote every component as one. A dexdata.DerivedSignal
+        // beside a Simulink.Signal read as two DerivedSignals, where MATLAB says a
+        // Simulink.Signal array of the two (test/fixtures/mcos/configset.mat).
+        //
+        // A later element whose object names no class row is one of the first element's
+        // class, as the binary reader reads a classless later element: in the class the
+        // array is named by, and as the class it is marked with. Where the first names none
+        // either, the array has no class, as before.
+        const own = handle.ids.map((id) => ctx.meta.classes[ctx.meta.objects[id]?.classId]?.fullName ?? '');
+        const classes = own.map((c) => c || own[0]);
+        const arrayClass = componentsBaseOf(owner, propName) ?? (classes[0] ? arrayClassOf(classes) : '');
         // Every extent, as at the root-variable site below: a property holding a 2x3x2
         // object array (ndNested.mat's h.Kids) reported [2, 3] over twelve elements, so
         // the container printed a shape MATLAB never had and the element subscripts ran
@@ -298,11 +331,14 @@ function resolveValue(cell, ctx, path, depth) {
         // holds, which is why nothing here noticed.
         const dims = handle.dims.length >= 2 ? handle.dims.slice() : [1, handle.ids.length];
         return {
-            _array_class: cls ? cls.fullName : '',
+            _array_class: arrayClass,
             _array_type: 'MATLABArray',
             _dimensions: dims,
             _mw_element_type: 'MATLABArray',
-            _elements: handle.ids.map((id) => ({ _properties: buildProperties(id, ctx, path, depth + 1) })),
+            _elements: handle.ids.map((id, k) => ({
+                ...(classes[k] && classes[k] !== arrayClass ? { _object_class: classes[k] } : {}),
+                _properties: buildProperties(id, ctx, path, depth + 1),
+            })),
         };
     }
     const cls = cell.className;
@@ -326,7 +362,7 @@ function resolveValue(cell, ctx, path, depth) {
     if (cls === 'cell') {
         const elems = Array.isArray(val) ? val : [];
         const resolved = elems.map((e) => resolveValue(e, ctx, path, depth));
-        const handle = functionHandleText(resolved);
+        const handle = functionHandleText(elems[0] ?? null, resolved);
         if (handle !== null) {
             return { _type: 'function_handle', _value: handle };
         }
@@ -365,18 +401,26 @@ function resolveValue(cell, ctx, path, depth) {
     }
     if (cell.isLogical) {
         if (Array.isArray(val)) {
-            // A logical MATRIX states its shape, in the typed literal BinarySlddParser reads a
-            // binary dictionary's own logical matrix into (logicalValue): a bare list of
+            // In the typed literal BinarySlddParser reads a binary dictionary's own logical array
+            // into (logicalValue), at every shape. A MATRIX states its shape: a bare list of
             // booleans is a row, so a 2x2 logical Value came back a 1x4 — MATLAB's
             // sparse([2;1], [1;2], [true;true], 2, 2) in a Simulink.Parameter showed
             // `[false true true false]`, where the text dictionary's twin of it showed
             // `[false true; true false]`. A rank-2 COLUMN states its shape for the same reason
-            // (an Nx1 came back 1xN); a row is still the bare list it always was.
+            // (an Nx1 came back 1xN). And a ROW states its class (C-033): the node layer reads a
+            // bare list of booleans as a DOUBLE row, so a logical([1 0 1]) Value showed class
+            // double, where both dictionaries show logical. formatMatrixSerial spells a 1xN
+            // logical `[1, 0, 1]`, as typed_binary.sldd's lglVec is held.
+            //
+            // An EMPTY logical is the `[]` it was before C-033 (a double 0x0: DESIGN.md records it),
+            // except where it was typed then too, which is wherever its shape alone says so: at rank
+            // 3 or more, a 2x0x2 is `Matrix(2,0,2)` and shows as a <2x0x2 logical>
+            // (mcosEmptyLogical.test.ts).
             const dims = cell.dimensions && cell.dimensions.length >= 2 ? cell.dimensions : [1, val.length];
-            if (dims.length > 2 || (dims[0] > 1 && dims[1] > 1) || (dims.length === 2 && dims[0] > 1 && dims[1] === 1)) {
-                return { _type: 'logical', _value: formatMatrixSerial(val.map((x) => (x ? '1' : '0')), dims, 'logical') };
-            }
-            return val.map((x) => !!x);
+            const shaped = dims.length > 2 || (dims[0] > 1 && dims[1] > 1) || (dims.length === 2 && dims[0] > 1 && dims[1] === 1);
+            if (val.length === 0 && !shaped)
+                return [];
+            return { _type: 'logical', _value: formatMatrixSerial(val.map((x) => (x ? '1' : '0')), dims, 'logical') };
         }
         return !!val;
     }
@@ -384,15 +428,27 @@ function resolveValue(cell, ctx, path, depth) {
     // double cannot hold arrives as its own decimal TEXT (MatParser via XmlUtils.exactInt),
     // so a scalar one is a string here — accepting only `typeof 'number'` would drop such a
     // property out of the object entirely rather than merely rounding it.
+    //
+    // A class other than double keeps its class (C-033), in the binary dictionary's typed
+    // spelling of the same value: a Simulink.Parameter whose Value is int8(-42) is
+    // `{_type: 'int8', _value: '-42'}`, as BinarySlddParser.formatTypedScalar gives it, and
+    // not the bare -42, which the node layer reads as a double. A double is bare, as it was.
+    const typed = NON_DOUBLE_NUMERIC.has(cls) ? cls : null;
     if (typeof val === 'number' || isExactToken(val)) {
-        return val;
+        return typed ? { _type: typed, _value: formatNumLiteral(val, typed) } : val;
     }
     if (Array.isArray(val)) {
         if (val.length === 0)
             return [];
         const dims = cell.dimensions || [1, val.length];
+        // Of a class other than double, every shape is typed, a row as
+        // BinarySlddParser.formatTypedVector spells one (formatMatrixSerial's bare `[a, b]`)
+        // and anything else in the Matrix() literal of that class.
+        if (typed) {
+            return buildMatrixValue(dims, val, typed);
+        }
         // A rank-2 column goes out typed as well: a bare list is a row, so a Value of
-        // [10; 20; 30] showed, and copied out, as [10 20 30]. A row stays bare.
+        // [10; 20; 30] showed, and copied out, as [10 20 30]. A double row stays bare.
         if (dims.length >= 2 && dims[0] > 1 && (dims[1] > 1 || (dims.length === 2 && dims[1] === 1))) {
             return buildMatrixValue(dims, val);
         }
@@ -400,6 +456,17 @@ function resolveValue(cell, ctx, path, depth) {
     }
     return undefined;
 }
+// The number a non-double numeric SCALAR stands for, as text, when `v` is resolveValue's
+// typed spelling of one (`{_type: 'int32', _value: '2'}`, `'2U'`, `'3.3F'`), or null.
+function typedScalarText(v) {
+    if (v === null || typeof v !== 'object' || Array.isArray(v))
+        return null;
+    const { _type: type, _value: text } = v;
+    if (typeof type !== 'string' || !NON_DOUBLE_NUMERIC.has(type) || typeof text !== 'string' || /^(\[|Matrix\()/.test(text)) {
+        return null;
+    }
+    return text.replace(/[FU]$/, '');
+}
 // The tag MATLAB writes at the head of an enumeration instance struct (MatParser.enumerationInstanceOf).
 const ENUMERATION_INSTANCE_TAG = 0xdd000000;
 /**
@@ -454,6 +521,12 @@ function enumerationValue(instance, ctx, className) {
             if (m && (typeof v === 'number' || typeof v === 'boolean' || isExactToken(v))) {
                 return { name: names[k], type: m[1], value: typeof v === 'boolean' ? (v ? '1' : '0') : typeof v === 'number' ? formatMatlabNum(v) : v };
             }
+            // The `int32.Data` of an enumeration derived from int32 (Simulink.IntEnumType): its
+            // number, which resolveValue spells typed, as every non-double numeric (C-033).
+            const typedText = m ? typedScalarText(v) : null;
+            if (m && typedText !== null) {
+                return { name: names[k], type: m[1], value: typedText };
+            }
         }
         return { name: names[k], value: '' };
     });
@@ -503,9 +576,14 @@ const FUNCTION_HANDLE_MARKER = 0xdd000000;
  * text one and a .mat). Shown as it stood, it read `@sf%0@(y)y*2`. The prefix goes, and
  * the `@` that opens the anonymous function's own text stays; nothing else is rewritten
  * (MatParser.functionHandleText, which a .mat's own function handle is read with too).
+ *
+ * The marker is read off the cell's own first element (`marker`), not off what it resolves
+ * to: the word is a uint32, which resolves to its typed spelling, `{_type: 'uint32', _value:
+ * '3707764736U'}` (C-033). A number of any class whose value is the word is the marker, as it
+ * was when this compared the resolved number.
  */
-function functionHandleText(elements) {
-    if (elements.length !== 2 || elements[0] !== FUNCTION_HANDLE_MARKER) {
+function functionHandleText(marker, elements) {
+    if (elements.length !== 2 || !marker || marker.isLogical || marker.value !== FUNCTION_HANDLE_MARKER) {
         return null;
     }
     const outer = elements[1];
@@ -572,11 +650,14 @@ function buildProperties(objId, ctx, path, depth) {
     // 1) Class defaults FIRST, so every property this class declares surfaces by name
     //    (and value) even when the instance left it at its default and the instance
     //    block omits it. Then the instance block overrides those it mutated.
+    // The class whose properties these are: an object array's place is named by it
+    // (resolveValue's `owner`).
+    const owner = ctx.meta.classes[obj.classId]?.fullName;
     const dflt = ctx.defaults[obj.classId];
     if (dflt && dflt.className === 'struct' && dflt.fields) {
         for (const [fieldName, fieldVar] of Object.entries(dflt.fields)) {
             const fv = Array.isArray(fieldVar) ? fieldVar[0] : fieldVar;
-            const resolved = resolveValue(fv, ctx, path, depth);
+            const resolved = resolveValue(fv, ctx, path, depth, owner, fieldName);
             if (resolved !== undefined) {
                 setOwn(props, fieldName, resolved);
             }
@@ -596,7 +677,7 @@ function buildProperties(objId, ctx, path, depth) {
             continue;
         let resolved;
         if (flag === 1) {
-            resolved = resolveValue(ctx.cells[value + 2] || null, ctx, path, depth);
+            resolved = resolveValue(ctx.cells[value + 2] || null, ctx, path, depth, owner, name);
         }
         else if (flag === 0) {
             // An index past the string table names no string: drop the property, as an
diff --git a/dist/datamodel/parser/McosParser.js.map b/dist/datamodel/parser/McosParser.js.map
index 2295b4f6..e7fada3a 100644
--- a/dist/datamodel/parser/McosParser.js.map
+++ b/dist/datamodel/parser/McosParser.js.map
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/dist/datamodel/parser/objectArrayClass.d.ts b/dist/datamodel/parser/objectArrayClass.d.ts
new file mode 100644
index 00000000..61ccbd51
--- /dev/null
+++ b/dist/datamodel/parser/objectArrayClass.d.ts
@@ -0,0 +1,51 @@
+/**
+ * The class an object array of elements of `classes` is, as MATLAB's text format names it in
+ * `_array_class`: the class every element shares; for elements of several classes, the common
+ * base class where it can be derived (heterogeneousBaseOf); and otherwise the first element's,
+ * which is what each reader named every such array before it kept the elements' own. A config
+ * set's Components does not come here: its place names its class (componentsBaseOf).
+ *
+ * The first element's class is still what an array of no derivable base reads as: of the 71
+ * mixed arrays the binary dictionaries of the test fixtures, the parity artifacts and the local
+ * corpus hold, one, a simmechanics.ConfigurationSet's Components of two simmechanics classes.
+ */
+export declare function arrayClassOf(classes: string[]): string;
+/**
+ * The common base class of an array mixing `classes`, where the readers can derive one, or
+ * undefined.
+ *
+ * Neither a binary dictionary nor an MCOS blob states it: a binary dictionary's `<P
+ * Name="UserMLArray2" Dimension="1*2">` carries no Class, an MCOS object array is a list of
+ * object ids, and in both each element names only its own. A text dictionary does, and two
+ * rules give the base it names from the classes alone:
+ * - Simulink.ConfigComponent, for an array whose classes each belong to CONFIG_COMPONENTS: every
+ *   Components array of a Simulink.ConfigSet and of a Simulink.RTWCC that MATLAB wrote into a
+ *   text dictionary is `_array_class` Simulink.ConfigComponent (30 of 30, in five
+ *   dictionaries), over classes each listed there.
+ * - The one known MathWorks class (isMathWorksClass) of an array mixing it with classes that are
+ *   not: a user's class can derive from a MathWorks class and a MathWorks class never from a
+ *   user's, so the MathWorks class is the base the user classes extend. A text dictionary MATLAB
+ *   wrote names a Simulink.Signal subclass beside a Simulink.Signal `{"_array_class":
+ *   "Simulink.Signal", …}`, and the binary reader read the binary twin of that array, in two
+ *   dictionaries, as the subclass, the first element's class. MATLAB's class() of a
+ *   dexdata.DerivedSignal beside a Simulink.Signal, read out of a .mat, is Simulink.Signal
+ *   (test/fixtures/mcos/configset.truth.json).
+ * Of two MathWorks classes or more beside other classes, or of none, it names no base.
+ */
+export declare function heterogeneousBaseOf(classes: string[]): string | undefined;
+/**
+ * The class the place of a property named `name` of an object of `ownerClass` names for an
+ * object array there, or undefined where it names none: Simulink.ConfigComponent, for the
+ * Components of a Simulink.ConfigSet or a Simulink.RTWCC, whatever components it holds.
+ *
+ * Every such array MATLAB wrote into a text dictionary is `_array_class`
+ * Simulink.ConfigComponent (30 of 30, in five dictionaries), and MATLAB's class() of one read
+ * out of a .mat is the same (test/fixtures/mcos/configset.truth.json). A binary dictionary and
+ * an MCOS blob name no base for it, and a binary dictionary can hold components no text
+ * dictionary has shown, so that CONFIG_COMPONENTS does not list them: a
+ * CoderTarget.SettingsController, in seven config sets of a corpus dictionary, and an
+ * SSC.SimscapeCC, in one of another. Those arrays used to read under their first component's
+ * class, a Simulink.SolverCC.
+ */
+export declare function componentsBaseOf(ownerClass: string | undefined, name: string | undefined): string | undefined;
+//# sourceMappingURL=objectArrayClass.d.ts.map
\ No newline at end of file
diff --git a/dist/datamodel/parser/objectArrayClass.d.ts.map b/dist/datamodel/parser/objectArrayClass.d.ts.map
new file mode 100644
index 00000000..3c4c3a12
--- /dev/null
+++ b/dist/datamodel/parser/objectArrayClass.d.ts.map
@@ -0,0 +1 @@
+{"version":3,"file":"objectArrayClass.d.ts","sourceRoot":"","sources":["../../../src/datamodel/parser/objectArrayClass.ts"],"names":[],"mappings":"AAWA;;;;;;;;;;GAUG;AACH,wBAAgB,YAAY,CAAC,OAAO,EAAE,MAAM,EAAE,GAAG,MAAM,CAKtD;AAED;;;;;;;;;;;;;;;;;;;;;GAqBG;AACH,wBAAgB,mBAAmB,CAAC,OAAO,EAAE,MAAM,EAAE,GAAG,MAAM,GAAG,SAAS,CAMzE;AAmBD;;;;;;;;;;;;;GAaG;AACH,wBAAgB,gBAAgB,CAAC,UAAU,EAAE,MAAM,GAAG,SAAS,EAAE,IAAI,EAAE,MAAM,GAAG,SAAS,GAAG,MAAM,GAAG,SAAS,CAE7G"}
\ No newline at end of file
diff --git a/dist/datamodel/parser/objectArrayClass.js b/dist/datamodel/parser/objectArrayClass.js
new file mode 100644
index 00000000..cdcebb9c
--- /dev/null
+++ b/dist/datamodel/parser/objectArrayClass.js
@@ -0,0 +1,107 @@
+// Copyright 2026 The MathWorks, Inc.
+// The class of an object array whose elements are of more than one class, as MATLAB's text
+// format names it, for the readers whose format does not state it: a binary dictionary
+// (BinarySlddParser), and a .mat or a model workspace's MCOS blob (McosParser). Both used to
+// name such an array after its first element; one rule here keeps the two from drifting
+// apart again.
+//
+// Each element of another class than the array's keeps its own, as `_object_class`; that is
+// the readers' half. This is the class the array itself is, `_array_class`.
+/**
+ * The class an object array of elements of `classes` is, as MATLAB's text format names it in
+ * `_array_class`: the class every element shares; for elements of several classes, the common
+ * base class where it can be derived (heterogeneousBaseOf); and otherwise the first element's,
+ * which is what each reader named every such array before it kept the elements' own. A config
+ * set's Components does not come here: its place names its class (componentsBaseOf).
+ *
+ * The first element's class is still what an array of no derivable base reads as: of the 71
+ * mixed arrays the binary dictionaries of the test fixtures, the parity artifacts and the local
+ * corpus hold, one, a simmechanics.ConfigurationSet's Components of two simmechanics classes.
+ */
+export function arrayClassOf(classes) {
+    if (classes.every((c) => c === classes[0])) {
+        return classes[0];
+    }
+    return heterogeneousBaseOf(classes) ?? classes[0];
+}
+/**
+ * The common base class of an array mixing `classes`, where the readers can derive one, or
+ * undefined.
+ *
+ * Neither a binary dictionary nor an MCOS blob states it: a binary dictionary's `<P
+ * Name="UserMLArray2" Dimension="1*2">` carries no Class, an MCOS object array is a list of
+ * object ids, and in both each element names only its own. A text dictionary does, and two
+ * rules give the base it names from the classes alone:
+ * - Simulink.ConfigComponent, for an array whose classes each belong to CONFIG_COMPONENTS: every
+ *   Components array of a Simulink.ConfigSet and of a Simulink.RTWCC that MATLAB wrote into a
+ *   text dictionary is `_array_class` Simulink.ConfigComponent (30 of 30, in five
+ *   dictionaries), over classes each listed there.
+ * - The one known MathWorks class (isMathWorksClass) of an array mixing it with classes that are
+ *   not: a user's class can derive from a MathWorks class and a MathWorks class never from a
+ *   user's, so the MathWorks class is the base the user classes extend. A text dictionary MATLAB
+ *   wrote names a Simulink.Signal subclass beside a Simulink.Signal `{"_array_class":
+ *   "Simulink.Signal", …}`, and the binary reader read the binary twin of that array, in two
+ *   dictionaries, as the subclass, the first element's class. MATLAB's class() of a
+ *   dexdata.DerivedSignal beside a Simulink.Signal, read out of a .mat, is Simulink.Signal
+ *   (test/fixtures/mcos/configset.truth.json).
+ * Of two MathWorks classes or more beside other classes, or of none, it names no base.
+ */
+export function heterogeneousBaseOf(classes) {
+    if (classes.every((c) => c === CONFIG_COMPONENT || CONFIG_COMPONENTS.has(c))) {
+        return CONFIG_COMPONENT;
+    }
+    const known = new Set(classes.filter(isMathWorksClass));
+    return known.size === 1 ? [...known][0] : undefined;
+}
+/**
+ * Whether `cls` is a known MathWorks class: a class of a package whose classes this package
+ * already names as MathWorks' (MATHWORKS_PACKAGES). Simulink and mpt are the packages of every
+ * class the node registry, the schema and the Kind column name (NodeClassMap, schema/index,
+ * kindMap), and the two the test suite tells MATLAB's own objects from custom ones by; SlCovCC,
+ * Sldv and hdlcoderui are the packages of the config components CONFIG_COMPONENTS names. A class
+ * of any other package, MathWorks' or not (CoderTarget, SSC, simmechanics, AUTOSAR among them),
+ * is not known here, and counts as one that is not MathWorks' (heterogeneousBaseOf).
+ */
+function isMathWorksClass(cls) {
+    const dot = cls.indexOf('.');
+    return dot > 0 && MATHWORKS_PACKAGES.has(cls.slice(0, dot));
+}
+/** The packages of the known MathWorks classes (isMathWorksClass). */
+const MATHWORKS_PACKAGES = new Set(['Simulink', 'mpt', 'SlCovCC', 'Sldv', 'hdlcoderui']);
+/**
+ * The class the place of a property named `name` of an object of `ownerClass` names for an
+ * object array there, or undefined where it names none: Simulink.ConfigComponent, for the
+ * Components of a Simulink.ConfigSet or a Simulink.RTWCC, whatever components it holds.
+ *
+ * Every such array MATLAB wrote into a text dictionary is `_array_class`
+ * Simulink.ConfigComponent (30 of 30, in five dictionaries), and MATLAB's class() of one read
+ * out of a .mat is the same (test/fixtures/mcos/configset.truth.json). A binary dictionary and
+ * an MCOS blob name no base for it, and a binary dictionary can hold components no text
+ * dictionary has shown, so that CONFIG_COMPONENTS does not list them: a
+ * CoderTarget.SettingsController, in seven config sets of a corpus dictionary, and an
+ * SSC.SimscapeCC, in one of another. Those arrays used to read under their first component's
+ * class, a Simulink.SolverCC.
+ */
+export function componentsBaseOf(ownerClass, name) {
+    return name === 'Components' && (ownerClass === 'Simulink.ConfigSet' || ownerClass === 'Simulink.RTWCC') ? CONFIG_COMPONENT : undefined;
+}
+const CONFIG_COMPONENT = 'Simulink.ConfigComponent';
+/** Each class MATLAB's text format lists as an element of a Simulink.ConfigComponent array (see heterogeneousBaseOf). */
+const CONFIG_COMPONENTS = new Set([
+    'Simulink.SolverCC',
+    'Simulink.DataIOCC',
+    'Simulink.OptimizationCC',
+    'Simulink.DebuggingCC',
+    'Simulink.HardwareCC',
+    'Simulink.ModelReferenceCC',
+    'Simulink.SFSimCC',
+    'Simulink.RTWCC',
+    'Simulink.CodeAppCC',
+    'Simulink.GRTTargetCC',
+    'Simulink.ERTTargetCC',
+    'Simulink.STFCustomTargetCC',
+    'SlCovCC.ConfigComp',
+    'Sldv.ConfigComp',
+    'hdlcoderui.hdlcc',
+]);
+//# sourceMappingURL=objectArrayClass.js.map
\ No newline at end of file
diff --git a/dist/datamodel/parser/objectArrayClass.js.map b/dist/datamodel/parser/objectArrayClass.js.map
new file mode 100644
index 00000000..b2ef3a98
--- /dev/null
+++ b/dist/datamodel/parser/objectArrayClass.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"objectArrayClass.js","sourceRoot":"","sources":["../../../src/datamodel/parser/objectArrayClass.ts"],"names":[],"mappings":"AAAA,qCAAqC;AAErC,2FAA2F;AAC3F,uFAAuF;AACvF,6FAA6F;AAC7F,wFAAwF;AACxF,eAAe;AACf,EAAE;AACF,4FAA4F;AAC5F,4EAA4E;AAE5E;;;;;;;;;;GAUG;AACH,MAAM,UAAU,YAAY,CAAC,OAAiB;IAC5C,IAAI,OAAO,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,KAAK,OAAO,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC;QAC3C,OAAO,OAAO,CAAC,CAAC,CAAC,CAAC;IACpB,CAAC;IACD,OAAO,mBAAmB,CAAC,OAAO,CAAC,IAAI,OAAO,CAAC,CAAC,CAAC,CAAC;AACpD,CAAC;AAED;;;;;;;;;;;;;;;;;;;;;GAqBG;AACH,MAAM,UAAU,mBAAmB,CAAC,OAAiB;IACnD,IAAI,OAAO,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,KAAK,gBAAgB,IAAI,iBAAiB,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC;QAC7E,OAAO,gBAAgB,CAAC;IAC1B,CAAC;IACD,MAAM,KAAK,GAAG,IAAI,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,gBAAgB,CAAC,CAAC,CAAC;IACxD,OAAO,KAAK,CAAC,IAAI,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,GAAG,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,SAAS,CAAC;AACtD,CAAC;AAED;;;;;;;;GAQG;AACH,SAAS,gBAAgB,CAAC,GAAW;IACnC,MAAM,GAAG,GAAG,GAAG,CAAC,OAAO,CAAC,GAAG,CAAC,CAAC;IAC7B,OAAO,GAAG,GAAG,CAAC,IAAI,kBAAkB,CAAC,GAAG,CAAC,GAAG,CAAC,KAAK,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC;AAC9D,CAAC;AAED,sEAAsE;AACtE,MAAM,kBAAkB,GAAwB,IAAI,GAAG,CAAC,CAAC,UAAU,EAAE,KAAK,EAAE,SAAS,EAAE,MAAM,EAAE,YAAY,CAAC,CAAC,CAAC;AAE9G;;;;;;;;;;;;;GAaG;AACH,MAAM,UAAU,gBAAgB,CAAC,UAA8B,EAAE,IAAwB;IACvF,OAAO,IAAI,KAAK,YAAY,IAAI,CAAC,UAAU,KAAK,oBAAoB,IAAI,UAAU,KAAK,gBAAgB,CAAC,CAAC,CAAC,CAAC,gBAAgB,CAAC,CAAC,CAAC,SAAS,CAAC;AAC1I,CAAC;AAED,MAAM,gBAAgB,GAAG,0BAA0B,CAAC;AAEpD,yHAAyH;AACzH,MAAM,iBAAiB,GAAwB,IAAI,GAAG,CAAC;IACrD,mBAAmB;IACnB,mBAAmB;IACnB,yBAAyB;IACzB,sBAAsB;IACtB,qBAAqB;IACrB,2BAA2B;IAC3B,kBAAkB;IAClB,gBAAgB;IAChB,oBAAoB;IACpB,sBAAsB;IACtB,sBAAsB;IACtB,4BAA4B;IAC5B,oBAAoB;IACpB,iBAAiB;IACjB,kBAAkB;CACnB,CAAC,CAAC"}
\ No newline at end of file
diff --git a/src/datamodel/parser/BinarySlddParser.ts b/src/datamodel/parser/BinarySlddParser.ts
index c1912094..846613d5 100644
--- a/src/datamodel/parser/BinarySlddParser.ts
+++ b/src/datamodel/parser/BinarySlddParser.ts
@@ -74,6 +74,7 @@ import {
   type PropertySource,
 } from './XmlUtils.js';
 import { setOwn } from './ownKeys.js';
+import { arrayClassOf, componentsBaseOf } from './objectArrayClass.js';
 import { headerDigits } from './Size.js';
 import { recordPackageStamps, recordReadFrame, recordReadSource, type ChunkFrame, type Span } from './EntrySource.js';
 
@@ -936,7 +937,8 @@ function cellValue(elements: XmlNode[], dimParts: number[]): Record<string, unkn
 // unclassed element set decodes as the struct array it is.
 //
 // `base` is the class the array's place names, where it names one (componentsBaseOf): it is
-// the array's class whatever its elements are.
+// the array's class whatever its elements are. Both rules are objectArrayClass.ts's, which the
+// MCOS reader (McosParser) names a .mat's and a model workspace's object arrays by too.
 function objectArrayValue(elements: XmlNode[], dimParts: number[], base?: string): Record<string, unknown> {
   const first = elements.length > 0 ? elements[0]['@_Class'] || '' : '';
   if (!first) {
@@ -1002,105 +1004,6 @@ function propertySources(el: XmlNode): Record<string, PropertySource> | null {
   return sources;
 }
 
-/**
- * The class an object array of elements of `classes` is, as MATLAB's text format names it in
- * `_array_class`: the class every element shares; for elements of several classes, the common
- * base class where it can be derived (heterogeneousBaseOf); and otherwise the first element's,
- * which is what this reader named every such array before it kept the elements' own. A config
- * set's Components does not come here: its place names its class (componentsBaseOf).
- *
- * The first element's class is still what an array of no derivable base reads as: of the 71
- * mixed arrays the binary dictionaries of the test fixtures, the parity artifacts and the local
- * corpus hold, one, a simmechanics.ConfigurationSet's Components of two simmechanics classes.
- */
-function arrayClassOf(classes: string[]): string {
-  if (classes.every((c) => c === classes[0])) {
-    return classes[0];
-  }
-  return heterogeneousBaseOf(classes) ?? classes[0];
-}
-
-/**
- * The common base class of an array mixing `classes`, where this reader can derive one, or
- * undefined.
- *
- * A binary dictionary does not state it: its `<P Name="UserMLArray2" Dimension="1*2">` carries
- * no Class, and each element names only its own. A text dictionary does, and two rules give the
- * base it names from the classes alone:
- * - Simulink.ConfigComponent, for an array whose classes each belong to CONFIG_COMPONENTS: every
- *   Components array of a Simulink.ConfigSet and of a Simulink.RTWCC that MATLAB wrote into a
- *   text dictionary is `_array_class` Simulink.ConfigComponent (30 of 30, in five
- *   dictionaries), over classes each listed there.
- * - The one known MathWorks class (isMathWorksClass) of an array mixing it with classes that are
- *   not: a user's class can derive from a MathWorks class and a MathWorks class never from a
- *   user's, so the MathWorks class is the base the user classes extend. A text dictionary MATLAB
- *   wrote names a Simulink.Signal subclass beside a Simulink.Signal `{"_array_class":
- *   "Simulink.Signal", …}`, and this reader read the binary twin of that array, in two
- *   dictionaries, as the subclass, the first element's class.
- * Of two MathWorks classes or more beside other classes, or of none, it names no base.
- */
-function heterogeneousBaseOf(classes: string[]): string | undefined {
-  if (classes.every((c) => c === CONFIG_COMPONENT || CONFIG_COMPONENTS.has(c))) {
-    return CONFIG_COMPONENT;
-  }
-  const known = new Set(classes.filter(isMathWorksClass));
-  return known.size === 1 ? [...known][0] : undefined;
-}
-
-/**
- * Whether `cls` is a known MathWorks class: a class of a package whose classes this package
- * already names as MathWorks' (MATHWORKS_PACKAGES). Simulink and mpt are the packages of every
- * class the node registry, the schema and the Kind column name (NodeClassMap, schema/index,
- * kindMap), and the two the test suite tells MATLAB's own objects from custom ones by; SlCovCC,
- * Sldv and hdlcoderui are the packages of the config components CONFIG_COMPONENTS names. A class
- * of any other package, MathWorks' or not (CoderTarget, SSC, simmechanics, AUTOSAR among them),
- * is not known here, and counts as one that is not MathWorks' (heterogeneousBaseOf).
- */
-function isMathWorksClass(cls: string): boolean {
-  const dot = cls.indexOf('.');
-  return dot > 0 && MATHWORKS_PACKAGES.has(cls.slice(0, dot));
-}
-
-/** The packages of the known MathWorks classes (isMathWorksClass). */
-const MATHWORKS_PACKAGES: ReadonlySet<string> = new Set(['Simulink', 'mpt', 'SlCovCC', 'Sldv', 'hdlcoderui']);
-
-/**
- * The class the place of a property named `name` of an object of `ownerClass` names for an
- * object array there, or undefined where it names none: Simulink.ConfigComponent, for the
- * Components of a Simulink.ConfigSet or a Simulink.RTWCC, whatever components it holds.
- *
- * Every such array MATLAB wrote into a text dictionary is `_array_class`
- * Simulink.ConfigComponent (30 of 30, in five dictionaries). A binary dictionary names no base
- * for it, and can hold components no text dictionary has shown, so that CONFIG_COMPONENTS does
- * not list them: a CoderTarget.SettingsController, in seven config sets of a corpus dictionary,
- * and an SSC.SimscapeCC, in one of another. Those arrays used to read under their first
- * component's class, a Simulink.SolverCC.
- */
-function componentsBaseOf(ownerClass: string | undefined, name: string | undefined): string | undefined {
-  return name === 'Components' && (ownerClass === 'Simulink.ConfigSet' || ownerClass === 'Simulink.RTWCC') ? CONFIG_COMPONENT : undefined;
-}
-
-const CONFIG_COMPONENT = 'Simulink.ConfigComponent';
-
-/** Each class MATLAB's text format lists as an element of a Simulink.ConfigComponent array (see heterogeneousBaseOf). */
-const CONFIG_COMPONENTS: ReadonlySet<string> = new Set([
-  'Simulink.SolverCC',
-  'Simulink.DataIOCC',
-  'Simulink.OptimizationCC',
-  'Simulink.DebuggingCC',
-  'Simulink.HardwareCC',
-  'Simulink.ModelReferenceCC',
-  'Simulink.SFSimCC',
-  'Simulink.RTWCC',
-  'Simulink.CodeAppCC',
-  'Simulink.GRTTargetCC',
-  'Simulink.ERTTargetCC',
-  'Simulink.STFCustomTargetCC',
-  'SlCovCC.ConfigComp',
-  'Sldv.ConfigComp',
-  'hdlcoderui.hdlcc',
-]);
-
 /**
  * A classed or shaped empty, as every place a value is read holds one, an entry's Value, an
  * object's property or a struct's field, and a cell's element: its class under the bare header
diff --git a/src/datamodel/parser/MatParser.ts b/src/datamodel/parser/MatParser.ts
index 84d6e3f4..9c1009f3 100644
--- a/src/datamodel/parser/MatParser.ts
+++ b/src/datamodel/parser/MatParser.ts
@@ -29,6 +29,9 @@ const MI_MATRIX = 14;
 const MI_COMPRESSED = 15;
 const MI_UTF8 = 16;
 const MI_UTF16 = 17;
+// The array class of a single (mxSINGLE_CLASS), whose elements are read as MATLAB spells them
+// (singleDigits).
+const MX_SINGLE_CLASS = 7;
 
 // The one description of a parsed MATLAB variable, shared by the parsers that
 // produce it and MatlabVariableNode, which models it. Both sides once declared
@@ -178,7 +181,12 @@ const ELEMENT_WIDTH: Record<number, number> = {
 // four UTF-16 code units share one uint64 and the rounding lands in the LOW bits — that
 // is, on the FIRST character of every group of four ("café" -> "`afé"). See
 // test/parity/matlab/STRING_MCOS.md.
-function readNumericArray(view: DataView, sub: SubElement, count: number): (number | string)[] {
+//
+// `single` is whether the array is of class single (C-033): each miSINGLE element is then the
+// decimal MATLAB spells that float32 with (singleDigits), and not the double getFloat32 widens
+// it to. Any other class reads an miSINGLE element as that double, which for a double stored
+// in four bytes is its value.
+function readNumericArray(view: DataView, sub: SubElement, count: number, single = false): (number | string)[] {
     const values: (number | string)[] = [];
     const off = sub.dataOffset;
 
@@ -205,7 +213,11 @@ function readNumericArray(view: DataView, sub: SubElement, count: number): (numb
     for (let i = 0; i < count; i++) {
         switch (sub.type) {
         case MI_DOUBLE: values.push(view.getFloat64(off + i * 8, true)); break;
-        case MI_SINGLE: values.push(view.getFloat32(off + i * 4, true)); break;
+        case MI_SINGLE: {
+            const x = view.getFloat32(off + i * 4, true);
+            values.push(single ? singleDigits(x) : x);
+            break;
+        }
         case MI_INT8: values.push(view.getInt8(off + i)); break;
         case MI_UINT8: values.push(view.getUint8(off + i)); break;
         case MI_INT16: values.push(view.getInt16(off + i * 2, true)); break;
@@ -219,6 +231,115 @@ function readNumericArray(view: DataView, sub: SubElement, count: number): (numb
     return values;
 }
 
+/**
+ * A single as the decimal MATLAB spells it with, measured (R2027a): C's `%.6g` where that is
+ * the same float32, and otherwise `%.9g`, which always is — or `%.10g` for realmax('single'),
+ * whose `%.9g` is past it. Six is FLT_DIG, the digits every float32 holds, and nine
+ * FLT_DECIMAL_DIG, the digits that name any one; MATLAB writes a double by the same rule at
+ * fifteen and seventeen (a binary dictionary holds 1/3 as 0.33333333333333331).
+ *
+ * getFloat32 hands back the double of the same value, and every number here prints as the
+ * shortest text of its DOUBLE: single(3.3) is the double 3.299999952316284, and showed so,
+ * where both dictionaries hold MATLAB's own text for the same value, `3.3` (the corpus
+ * twins param_vars.mat / param_json.sldd, P30_TypeMaxUnitDesc; DESIGN.md recorded the
+ * difference as a limitation). It is not "the shortest decimal that is the same float32":
+ * MATLAB writes single(1/3) as 0.333333343, where 0.33333334 would do, and the smallest
+ * subnormal as 1.4013e-45, where 1e-45 would. make_typed_fixtures.m's sSingleSweep, 4,082
+ * float32 bit patterns from the smallest subnormal to realmax, holds MATLAB's text for each
+ * in a text dictionary (its binary format writes the same digits, measured), and this rule
+ * gives every one, where the shortest would differ on 3,520 (typedMcosFixtures.test.ts). It
+ * also gives every one of the 127,743 non-zero singles a customer text dictionary in the
+ * corpus holds.
+ *
+ * Lossless: the number is the same float32, so MatWriter's setFloat32 writes back the bits
+ * that were read, and a text dictionary's `0.333333343F` names them too. An infinity, a NaN
+ * and either zero are themselves.
+ */
+function singleDigits(x: number): number {
+    if (!Number.isFinite(x) || x === 0) {
+        return x;
+    }
+    const ax = Math.abs(x);
+    let six = roundedDigits(ax, 6);
+    if (Number.isNaN(six)) {
+        six = Math.abs(Number(x.toPrecision(6)));
+    }
+    if (Math.fround(six) === ax) {
+        return x < 0 ? -six : six;
+    }
+    const nine = roundedDigits(ax, 9);
+    if (!Number.isNaN(nine)) {
+        return x < 0 ? -nine : nine;
+    }
+    const text = toPrecisionHalfEven(x, 9);
+    return Math.abs(text) > FLT_MAX ? toPrecisionHalfEven(x, 10) : text;
+}
+
+// The largest finite single, realmax('single').
+const FLT_MAX = 3.4028234663852886e38;
+
+const POWERS_OF_TEN = [1, 10, 100, 1e3, 1e4, 1e5, 1e6, 1e7, 1e8, 1e9, 1e10, 1e11, 1e12];
+
+/**
+ * The positive single `ax` to `p` significant digits, an exact tie to the even digit, by
+ * arithmetic that is exact: `ax * 10^j` is, for a float32 and 0 <= j <= 12 (24 bits of
+ * mantissa by at most 28 of 5^12 fit a double's 53), so it is rounded as the exact value is,
+ * and `n / 10^j` is the double nearest that decimal. NaN where `j` would fall outside that
+ * range — a single of 1e9 or more, or under 1e-4 for nine digits and 1e-7 for six — which
+ * toPrecisionHalfEven reads instead. The same numbers (every 31st float32 bit pattern, both
+ * signs, compared), in a fifth of the time: singleDigits runs once per element, and a million
+ * singles took 400 ms by toPrecision alone and take 75 ms so, against 8 ms for the bare read.
+ */
+function roundedDigits(ax: number, p: number): number {
+    let j = p - 1 - Math.floor(Math.log10(ax));
+    if (j < 0 || j > 12) {
+        return NaN;
+    }
+    let y = ax * POWERS_OF_TEN[j];
+    // log10 can land a hair either side of an exponent: then `y` has a digit too many or too
+    // few, and the scale moves one place.
+    if (y >= POWERS_OF_TEN[p]) {
+        if (j === 0) {
+            return NaN;
+        }
+        y = ax * POWERS_OF_TEN[--j];
+    } else if (y < POWERS_OF_TEN[p - 1]) {
+        if (j === 12) {
+            return NaN;
+        }
+        y = ax * POWERS_OF_TEN[++j];
+    }
+    const whole = Math.floor(y);
+    const rest = y - whole;
+    const n = rest > 0.5 || (rest === 0.5 && whole % 2 === 1) ? whole + 1 : whole;
+    return n / POWERS_OF_TEN[j];
+}
+
+/**
+ * `x` to `p` significant digits as C's printf rounds it: to the nearer, and an exact tie to
+ * the EVEN digit. toPrecision takes the one farther from zero at a tie, so single(1000000.125)
+ * came out 1000000.13 where MATLAB writes 1000000.12 (typed_mcos.sldd's sSingleTies). Only a
+ * value of exactly `p + 1` significant digits, the last a 5, is a tie; toPrecision's own text
+ * of it at `p + 1` digits is then that 5, which is what is looked for before the exact digits
+ * are.
+ */
+function toPrecisionHalfEven(x: number, p: number): number {
+    const away = x.toPrecision(p);
+    if (!/5(?:e|$)/.test(x.toPrecision(p + 1))) {
+        return Number(away);
+    }
+    // Every significant digit of `x` up to a hundred, which a tie at ten has all of.
+    const digits = x.toPrecision(100).replace(/e.*$/, '').replace(/[-.]/g, '').replace(/^0+/, '');
+    if (digits[p] !== '5' || !/^0*$/.test(digits.slice(p + 1))) {
+        return Number(away);
+    }
+    // An exact tie, which goes to the even neighbour: the one nearer zero, `x` cut to `p`
+    // digits, when the last of those is even, and `away` when it is odd. The nearer one is
+    // read off a number just inside the tie: 2^-45 of `x` moves a double, and is far less
+    // than half a unit in a tenth digit.
+    return Number(digits[p - 1]) % 2 === 0 ? Number((x * (1 - 2 ** -45)).toPrecision(p)) : Number(away);
+}
+
 // Why the numeric part whose tag is at `at` holds none of the `count` elements its array
 // declares, or null when it holds what its bytes do. Either its tag is cut short by the end of
 // the bytes, which readSubelement reports as a tag of type 0, or its type has no width: in both
@@ -416,13 +537,16 @@ export function structElementsHeld(v: MatVariable): number {
 // outside the declared rows is dropped, rows repeated within a column keep the LAST value
 // (as the dense scatter this replaced had it), rows out of order are sorted, and a stored
 // zero is not a non-zero.
+// `single` is whether the array is of class single, whose non-zeros are read as a full
+// single array's are (readNumericArray).
 function readSparse(
     view: DataView,
     offset: number,
     end: number,
     dimensions: number[],
     isComplex: boolean,
-    nzmax: number
+    nzmax: number,
+    single: boolean
 ): SparseData {
     const rows = Math.max(0, dimensions[0] || 0);
     const cols = Math.max(0, dimensions[1] || 0);
@@ -464,14 +588,14 @@ function readSparse(
     if (offset < end) {
         const prSub = readSubelement(view, offset);
         offset += prSub.totalSize;
-        pr = readNumericArray(view, prSub, nnz);
+        pr = readNumericArray(view, prSub, nnz, single);
     }
 
     let pi: (number | string)[] = [];
     if (isComplex && offset < end) {
         const piSub = readSubelement(view, offset);
         offset += piSub.totalSize;
-        pi = readNumericArray(view, piSub, nnz);
+        pi = readNumericArray(view, piSub, nnz, single);
     }
 
     // At most nnz entries, which ir's own bytes bound.
@@ -895,7 +1019,7 @@ export function parseMatrix(view: DataView, baseOffset: number, length: number,
         // read: a host that renders values without knowing about `sparse` still shows
         // something true. A 1x1 is not unwrapped to a scalar: it has no list to unwrap.
         const nzmax = flagsSub.bytes >= 8 ? view.getUint32(flagsSub.dataOffset + 4, true) : 0;
-        result.sparse = offset < end ? readSparse(view, offset, end, dimensions, isComplex, nzmax) : emptySparse(isComplex, 0);
+        result.sparse = offset < end ? readSparse(view, offset, end, dimensions, isComplex, nzmax, arrayClass === MX_SINGLE_CLASS) : emptySparse(isComplex, 0);
         result.value = sparseValue(dimensions, className);
     } else if (arrayClass >= 6 && arrayClass <= 15) {
         if (offset < end) {
@@ -913,11 +1037,11 @@ export function parseMatrix(view: DataView, baseOffset: number, length: number,
                 result.undecoded = unread;
                 return result;
             }
-            const realValues = readNumericArray(view, realSub, totalElements);
+            const realValues = readNumericArray(view, realSub, totalElements, arrayClass === MX_SINGLE_CLASS);
 
             if (imagSub) {
                 offset += imagSub.totalSize;
-                const imagValues = readNumericArray(view, imagSub, totalElements);
+                const imagValues = readNumericArray(view, imagSub, totalElements, arrayClass === MX_SINGLE_CLASS);
                 const colMajor = realValues.map((r, i) => ({ re: r, im: imagValues[i] }));
                 result.value = transposeFromColMajor(colMajor, dimensions);
             } else {
diff --git a/src/datamodel/parser/McosParser.ts b/src/datamodel/parser/McosParser.ts
index 30e077f5..87d8f52a 100644
--- a/src/datamodel/parser/McosParser.ts
+++ b/src/datamodel/parser/McosParser.ts
@@ -12,6 +12,7 @@ import { isObjectHandle, objectHandleFromRaw, objectHandleFromValue } from './Mc
 import { matStreamOfElement } from './MatWriter.js';
 import { uuencode } from './CdataCodec.js';
 import { setOwn } from './ownKeys.js';
+import { arrayClassOf, componentsBaseOf } from './objectArrayClass.js';
 import {
   complexClassTag,
   ENUM_KEY,
@@ -20,6 +21,7 @@ import {
   formatComplexNum,
   formatMatlabNum,
   formatMatrixSerial,
+  formatNumLiteral,
   isExactToken,
   transposeToColumnMajorND,
 } from './XmlUtils.js';
@@ -78,8 +80,10 @@ export interface McosObjectData {
   // Reconstructed `_properties` bag in the same shape the SLDD path produces:
   // scalars as numbers/strings/booleans, matrices as a Matrix(r,c) value object,
   // complex values as the binary dictionary's { _type: 'cdata' } text
-  // (complexPropertyValue), nested objects as { _object_class, _properties }. For an
-  // object ARRAY this mirrors elements[0] (back-compat for callers that only read a
+  // (complexPropertyValue), nested objects as { _object_class, _properties }, and a
+  // nested object ARRAY as { _array_class, _elements }, each element of another class
+  // than the array's carrying its own `_object_class` (resolveValue). For an object
+  // ARRAY variable this mirrors elements[0] (back-compat for callers that only read a
   // scalar).
   properties: Record<string, unknown>;
   // One `_properties` bag per array element, in column-major order (MATLAB's).
@@ -386,10 +390,22 @@ function parseMetaTable(cells: (MatVariable | null)[]): MetaTable | null {
 // joined by newlines, the form MATLAB reads as an empty [] — so a Simulink.Parameter's
 // matrix Value copied out of a .mat, a workspace or a binary dictionary's hex into a text
 // dictionary came back empty. Inf and NaN are spelled as MATLAB spells them.
-function buildMatrixValue(dims: number[], elements: (number | string)[]): unknown {
-  return { _type: 'double', _value: formatMatrixSerial(elements, dims, 'double') };
+//
+// Of the array's own class (C-033): `double` for a double, and for any other numeric class
+// the class itself, as BinarySlddParser.formatMatrix gives a binary dictionary's matrix of
+// that class. A 1xN row of such a class takes formatMatrixSerial's bare `[a, b, c]`, which
+// is BinarySlddParser.formatTypedVector's spelling of it.
+function buildMatrixValue(dims: number[], elements: (number | string)[], cls = 'double'): unknown {
+  return { _type: cls, _value: formatMatrixSerial(elements, dims, cls) };
 }
 
+// The real numeric classes other than double, each of which a binary dictionary's reader
+// hands the node layer typed (BinarySlddParser.formatTypedScalar, formatTypedVector,
+// formatMatrix) and this decoder used to hand over bare, which the node layer reads as a
+// double (MatlabVariableNode.parseFlatArray serves a text dictionary's bare JSON list too,
+// where double is right, so the class cannot be recovered there).
+const NON_DOUBLE_NUMERIC = new Set(['single', 'int8', 'uint8', 'int16', 'uint16', 'int32', 'uint32', 'int64', 'uint64']);
+
 interface ComplexPair {
   re: unknown;
   im: unknown;
@@ -464,7 +480,19 @@ const isFinitePart = (x: unknown): boolean => typeof x !== 'number' || Number.is
 // data model expects. Object handles recurse into nested { _object_class,
 // _properties }; structs and cells recurse into { _array_type: 'Struct'|'Cell', … }.
 // Unresolvable values return undefined (dropped).
-function resolveValue(cell: MatVariable | null, ctx: DecodeContext, path: Set<number>, depth: number): unknown {
+//
+// `owner` and `propName` are the class of the object whose property this is and the
+// property's name, where the value is a property's (buildProperties): the place an object
+// array sits can name its class (componentsBaseOf). A struct's field and a cell's element
+// pass neither, as the binary reader names no place for them either.
+function resolveValue(
+  cell: MatVariable | null,
+  ctx: DecodeContext,
+  path: Set<number>,
+  depth: number,
+  owner?: string,
+  propName?: string,
+): unknown {
   if (!cell) return undefined;
 
   if (isObjectHandle(cell)) {
@@ -479,7 +507,23 @@ function resolveValue(cell: MatVariable | null, ctx: DecodeContext, path: Set<nu
     // BusElements): expand EVERY id into its own element, producing the same
     // value-object array shape the SLDD path emits so the data model builds one
     // child node per element instead of dropping all but the first.
-    const cls = ctx.meta.classes[ctx.meta.objects[handle.ids[0]]?.classId];
+    //
+    // The array is under the class MATLAB's text format names it by, and each element
+    // of another class carries its own `_object_class`, as the binary reader reads one:
+    // both readers use objectArrayClass.ts. This used to read the first element's class
+    // for the whole array and give no element a class of its own. So a config set's
+    // Components in a .mat read as a Simulink.SolverCC array of nine SolverCCs, and a
+    // copy of the config set wrote every component as one. A dexdata.DerivedSignal
+    // beside a Simulink.Signal read as two DerivedSignals, where MATLAB says a
+    // Simulink.Signal array of the two (test/fixtures/mcos/configset.mat).
+    //
+    // A later element whose object names no class row is one of the first element's
+    // class, as the binary reader reads a classless later element: in the class the
+    // array is named by, and as the class it is marked with. Where the first names none
+    // either, the array has no class, as before.
+    const own = handle.ids.map((id) => ctx.meta.classes[ctx.meta.objects[id]?.classId]?.fullName ?? '');
+    const classes = own.map((c) => c || own[0]);
+    const arrayClass = componentsBaseOf(owner, propName) ?? (classes[0] ? arrayClassOf(classes) : '');
     // Every extent, as at the root-variable site below: a property holding a 2x3x2
     // object array (ndNested.mat's h.Kids) reported [2, 3] over twelve elements, so
     // the container printed a shape MATLAB never had and the element subscripts ran
@@ -487,11 +531,14 @@ function resolveValue(cell: MatVariable | null, ctx: DecodeContext, path: Set<nu
     // holds, which is why nothing here noticed.
     const dims = handle.dims.length >= 2 ? handle.dims.slice() : [1, handle.ids.length];
     return {
-      _array_class: cls ? cls.fullName : '',
+      _array_class: arrayClass,
       _array_type: 'MATLABArray',
       _dimensions: dims,
       _mw_element_type: 'MATLABArray',
-      _elements: handle.ids.map((id) => ({ _properties: buildProperties(id, ctx, path, depth + 1) })),
+      _elements: handle.ids.map((id, k) => ({
+        ...(classes[k] && classes[k] !== arrayClass ? { _object_class: classes[k] } : {}),
+        _properties: buildProperties(id, ctx, path, depth + 1),
+      })),
     };
   }
 
@@ -517,7 +564,7 @@ function resolveValue(cell: MatVariable | null, ctx: DecodeContext, path: Set<nu
   if (cls === 'cell') {
     const elems = Array.isArray(val) ? (val as (MatVariable | null)[]) : [];
     const resolved = elems.map((e) => resolveValue(e, ctx, path, depth));
-    const handle = functionHandleText(resolved);
+    const handle = functionHandleText(elems[0] ?? null, resolved);
     if (handle !== null) {
       return { _type: 'function_handle', _value: handle };
     }
@@ -556,18 +603,25 @@ function resolveValue(cell: MatVariable | null, ctx: DecodeContext, path: Set<nu
   }
   if (cell.isLogical) {
     if (Array.isArray(val)) {
-      // A logical MATRIX states its shape, in the typed literal BinarySlddParser reads a
-      // binary dictionary's own logical matrix into (logicalValue): a bare list of
+      // In the typed literal BinarySlddParser reads a binary dictionary's own logical array
+      // into (logicalValue), at every shape. A MATRIX states its shape: a bare list of
       // booleans is a row, so a 2x2 logical Value came back a 1x4 — MATLAB's
       // sparse([2;1], [1;2], [true;true], 2, 2) in a Simulink.Parameter showed
       // `[false true true false]`, where the text dictionary's twin of it showed
       // `[false true; true false]`. A rank-2 COLUMN states its shape for the same reason
-      // (an Nx1 came back 1xN); a row is still the bare list it always was.
+      // (an Nx1 came back 1xN). And a ROW states its class (C-033): the node layer reads a
+      // bare list of booleans as a DOUBLE row, so a logical([1 0 1]) Value showed class
+      // double, where both dictionaries show logical. formatMatrixSerial spells a 1xN
+      // logical `[1, 0, 1]`, as typed_binary.sldd's lglVec is held.
+      //
+      // An EMPTY logical is the `[]` it was before C-033 (a double 0x0: DESIGN.md records it),
+      // except where it was typed then too, which is wherever its shape alone says so: at rank
+      // 3 or more, a 2x0x2 is `Matrix(2,0,2)` and shows as a <2x0x2 logical>
+      // (mcosEmptyLogical.test.ts).
       const dims = cell.dimensions && cell.dimensions.length >= 2 ? cell.dimensions : [1, val.length];
-      if (dims.length > 2 || (dims[0] > 1 && dims[1] > 1) || (dims.length === 2 && dims[0] > 1 && dims[1] === 1)) {
-        return { _type: 'logical', _value: formatMatrixSerial(val.map((x) => (x ? '1' : '0')), dims, 'logical') };
-      }
-      return val.map((x) => !!x);
+      const shaped = dims.length > 2 || (dims[0] > 1 && dims[1] > 1) || (dims.length === 2 && dims[0] > 1 && dims[1] === 1);
+      if (val.length === 0 && !shaped) return [];
+      return { _type: 'logical', _value: formatMatrixSerial(val.map((x) => (x ? '1' : '0')), dims, 'logical') };
     }
     return !!val;
   }
@@ -575,14 +629,26 @@ function resolveValue(cell: MatVariable | null, ctx: DecodeContext, path: Set<nu
   // double cannot hold arrives as its own decimal TEXT (MatParser via XmlUtils.exactInt),
   // so a scalar one is a string here — accepting only `typeof 'number'` would drop such a
   // property out of the object entirely rather than merely rounding it.
+  //
+  // A class other than double keeps its class (C-033), in the binary dictionary's typed
+  // spelling of the same value: a Simulink.Parameter whose Value is int8(-42) is
+  // `{_type: 'int8', _value: '-42'}`, as BinarySlddParser.formatTypedScalar gives it, and
+  // not the bare -42, which the node layer reads as a double. A double is bare, as it was.
+  const typed = NON_DOUBLE_NUMERIC.has(cls) ? cls : null;
   if (typeof val === 'number' || isExactToken(val)) {
-    return val;
+    return typed ? { _type: typed, _value: formatNumLiteral(val, typed) } : val;
   }
   if (Array.isArray(val)) {
     if (val.length === 0) return [];
     const dims = cell.dimensions || [1, val.length];
+    // Of a class other than double, every shape is typed, a row as
+    // BinarySlddParser.formatTypedVector spells one (formatMatrixSerial's bare `[a, b]`)
+    // and anything else in the Matrix() literal of that class.
+    if (typed) {
+      return buildMatrixValue(dims, val as (number | string)[], typed);
+    }
     // A rank-2 column goes out typed as well: a bare list is a row, so a Value of
-    // [10; 20; 30] showed, and copied out, as [10 20 30]. A row stays bare.
+    // [10; 20; 30] showed, and copied out, as [10 20 30]. A double row stays bare.
     if (dims.length >= 2 && dims[0] > 1 && (dims[1] > 1 || (dims.length === 2 && dims[1] === 1))) {
       return buildMatrixValue(dims, val as (number | string)[]);
     }
@@ -591,6 +657,17 @@ function resolveValue(cell: MatVariable | null, ctx: DecodeContext, path: Set<nu
   return undefined;
 }
 
+// The number a non-double numeric SCALAR stands for, as text, when `v` is resolveValue's
+// typed spelling of one (`{_type: 'int32', _value: '2'}`, `'2U'`, `'3.3F'`), or null.
+function typedScalarText(v: unknown): string | null {
+  if (v === null || typeof v !== 'object' || Array.isArray(v)) return null;
+  const { _type: type, _value: text } = v as Record<string, unknown>;
+  if (typeof type !== 'string' || !NON_DOUBLE_NUMERIC.has(type) || typeof text !== 'string' || /^(\[|Matrix\()/.test(text)) {
+    return null;
+  }
+  return text.replace(/[FU]$/, '');
+}
+
 // The tag MATLAB writes at the head of an enumeration instance struct (MatParser.enumerationInstanceOf).
 const ENUMERATION_INSTANCE_TAG = 0xdd000000;
 
@@ -646,6 +723,12 @@ function enumerationValue(instance: MatVariable, ctx: DecodeContext, className:
       if (m && (typeof v === 'number' || typeof v === 'boolean' || isExactToken(v))) {
         return { name: names[k], type: m[1], value: typeof v === 'boolean' ? (v ? '1' : '0') : typeof v === 'number' ? formatMatlabNum(v) : v };
       }
+      // The `int32.Data` of an enumeration derived from int32 (Simulink.IntEnumType): its
+      // number, which resolveValue spells typed, as every non-double numeric (C-033).
+      const typedText = m ? typedScalarText(v) : null;
+      if (m && typedText !== null) {
+        return { name: names[k], type: m[1], value: typedText };
+      }
     }
     return { name: names[k], value: '' };
   });
@@ -698,9 +781,14 @@ const FUNCTION_HANDLE_MARKER = 0xdd000000;
  * text one and a .mat). Shown as it stood, it read `@sf%0@(y)y*2`. The prefix goes, and
  * the `@` that opens the anonymous function's own text stays; nothing else is rewritten
  * (MatParser.functionHandleText, which a .mat's own function handle is read with too).
+ *
+ * The marker is read off the cell's own first element (`marker`), not off what it resolves
+ * to: the word is a uint32, which resolves to its typed spelling, `{_type: 'uint32', _value:
+ * '3707764736U'}` (C-033). A number of any class whose value is the word is the marker, as it
+ * was when this compared the resolved number.
  */
-function functionHandleText(elements: unknown[]): string | null {
-  if (elements.length !== 2 || elements[0] !== FUNCTION_HANDLE_MARKER) {
+function functionHandleText(marker: MatVariable | null, elements: unknown[]): string | null {
+  if (elements.length !== 2 || !marker || marker.isLogical || marker.value !== FUNCTION_HANDLE_MARKER) {
     return null;
   }
   const outer = elements[1] as Record<string, unknown> | null;
@@ -769,11 +857,14 @@ function buildProperties(objId: number, ctx: DecodeContext, path: Set<number>, d
   // 1) Class defaults FIRST, so every property this class declares surfaces by name
   //    (and value) even when the instance left it at its default and the instance
   //    block omits it. Then the instance block overrides those it mutated.
+  // The class whose properties these are: an object array's place is named by it
+  // (resolveValue's `owner`).
+  const owner = ctx.meta.classes[obj.classId]?.fullName;
   const dflt = ctx.defaults[obj.classId];
   if (dflt && dflt.className === 'struct' && dflt.fields) {
     for (const [fieldName, fieldVar] of Object.entries(dflt.fields)) {
       const fv = Array.isArray(fieldVar) ? fieldVar[0] : fieldVar;
-      const resolved = resolveValue(fv, ctx, path, depth);
+      const resolved = resolveValue(fv, ctx, path, depth, owner, fieldName);
       if (resolved !== undefined) {
         setOwn(props, fieldName, resolved);
       }
@@ -793,7 +884,7 @@ function buildProperties(objId: number, ctx: DecodeContext, path: Set<number>, d
     if (!name) continue;
     let resolved: unknown;
     if (flag === 1) {
-      resolved = resolveValue(ctx.cells[value + 2] || null, ctx, path, depth);
+      resolved = resolveValue(ctx.cells[value + 2] || null, ctx, path, depth, owner, name);
     } else if (flag === 0) {
       // An index past the string table names no string: drop the property, as an
       // out-of-range heap index (flag 1) and an unknown flag do, rather than invent ''.
diff --git a/src/datamodel/parser/objectArrayClass.ts b/src/datamodel/parser/objectArrayClass.ts
new file mode 100644
index 00000000..59f5878c
--- /dev/null
+++ b/src/datamodel/parser/objectArrayClass.ts
@@ -0,0 +1,114 @@
+// Copyright 2026 The MathWorks, Inc.
+
+// The class of an object array whose elements are of more than one class, as MATLAB's text
+// format names it, for the readers whose format does not state it: a binary dictionary
+// (BinarySlddParser), and a .mat or a model workspace's MCOS blob (McosParser). Both used to
+// name such an array after its first element; one rule here keeps the two from drifting
+// apart again.
+//
+// Each element of another class than the array's keeps its own, as `_object_class`; that is
+// the readers' half. This is the class the array itself is, `_array_class`.
+
+/**
+ * The class an object array of elements of `classes` is, as MATLAB's text format names it in
+ * `_array_class`: the class every element shares; for elements of several classes, the common
+ * base class where it can be derived (heterogeneousBaseOf); and otherwise the first element's,
+ * which is what each reader named every such array before it kept the elements' own. A config
+ * set's Components does not come here: its place names its class (componentsBaseOf).
+ *
+ * The first element's class is still what an array of no derivable base reads as: of the 71
+ * mixed arrays the binary dictionaries of the test fixtures, the parity artifacts and the local
+ * corpus hold, one, a simmechanics.ConfigurationSet's Components of two simmechanics classes.
+ */
+export function arrayClassOf(classes: string[]): string {
+  if (classes.every((c) => c === classes[0])) {
+    return classes[0];
+  }
+  return heterogeneousBaseOf(classes) ?? classes[0];
+}
+
+/**
+ * The common base class of an array mixing `classes`, where the readers can derive one, or
+ * undefined.
+ *
+ * Neither a binary dictionary nor an MCOS blob states it: a binary dictionary's `<P
+ * Name="UserMLArray2" Dimension="1*2">` carries no Class, an MCOS object array is a list of
+ * object ids, and in both each element names only its own. A text dictionary does, and two
+ * rules give the base it names from the classes alone:
+ * - Simulink.ConfigComponent, for an array whose classes each belong to CONFIG_COMPONENTS: every
+ *   Components array of a Simulink.ConfigSet and of a Simulink.RTWCC that MATLAB wrote into a
+ *   text dictionary is `_array_class` Simulink.ConfigComponent (30 of 30, in five
+ *   dictionaries), over classes each listed there.
+ * - The one known MathWorks class (isMathWorksClass) of an array mixing it with classes that are
+ *   not: a user's class can derive from a MathWorks class and a MathWorks class never from a
+ *   user's, so the MathWorks class is the base the user classes extend. A text dictionary MATLAB
+ *   wrote names a Simulink.Signal subclass beside a Simulink.Signal `{"_array_class":
+ *   "Simulink.Signal", …}`, and the binary reader read the binary twin of that array, in two
+ *   dictionaries, as the subclass, the first element's class. MATLAB's class() of a
+ *   dexdata.DerivedSignal beside a Simulink.Signal, read out of a .mat, is Simulink.Signal
+ *   (test/fixtures/mcos/configset.truth.json).
+ * Of two MathWorks classes or more beside other classes, or of none, it names no base.
+ */
+export function heterogeneousBaseOf(classes: string[]): string | undefined {
+  if (classes.every((c) => c === CONFIG_COMPONENT || CONFIG_COMPONENTS.has(c))) {
+    return CONFIG_COMPONENT;
+  }
+  const known = new Set(classes.filter(isMathWorksClass));
+  return known.size === 1 ? [...known][0] : undefined;
+}
+
+/**
+ * Whether `cls` is a known MathWorks class: a class of a package whose classes this package
+ * already names as MathWorks' (MATHWORKS_PACKAGES). Simulink and mpt are the packages of every
+ * class the node registry, the schema and the Kind column name (NodeClassMap, schema/index,
+ * kindMap), and the two the test suite tells MATLAB's own objects from custom ones by; SlCovCC,
+ * Sldv and hdlcoderui are the packages of the config components CONFIG_COMPONENTS names. A class
+ * of any other package, MathWorks' or not (CoderTarget, SSC, simmechanics, AUTOSAR among them),
+ * is not known here, and counts as one that is not MathWorks' (heterogeneousBaseOf).
+ */
+function isMathWorksClass(cls: string): boolean {
+  const dot = cls.indexOf('.');
+  return dot > 0 && MATHWORKS_PACKAGES.has(cls.slice(0, dot));
+}
+
+/** The packages of the known MathWorks classes (isMathWorksClass). */
+const MATHWORKS_PACKAGES: ReadonlySet<string> = new Set(['Simulink', 'mpt', 'SlCovCC', 'Sldv', 'hdlcoderui']);
+
+/**
+ * The class the place of a property named `name` of an object of `ownerClass` names for an
+ * object array there, or undefined where it names none: Simulink.ConfigComponent, for the
+ * Components of a Simulink.ConfigSet or a Simulink.RTWCC, whatever components it holds.
+ *
+ * Every such array MATLAB wrote into a text dictionary is `_array_class`
+ * Simulink.ConfigComponent (30 of 30, in five dictionaries), and MATLAB's class() of one read
+ * out of a .mat is the same (test/fixtures/mcos/configset.truth.json). A binary dictionary and
+ * an MCOS blob name no base for it, and a binary dictionary can hold components no text
+ * dictionary has shown, so that CONFIG_COMPONENTS does not list them: a
+ * CoderTarget.SettingsController, in seven config sets of a corpus dictionary, and an
+ * SSC.SimscapeCC, in one of another. Those arrays used to read under their first component's
+ * class, a Simulink.SolverCC.
+ */
+export function componentsBaseOf(ownerClass: string | undefined, name: string | undefined): string | undefined {
+  return name === 'Components' && (ownerClass === 'Simulink.ConfigSet' || ownerClass === 'Simulink.RTWCC') ? CONFIG_COMPONENT : undefined;
+}
+
+const CONFIG_COMPONENT = 'Simulink.ConfigComponent';
+
+/** Each class MATLAB's text format lists as an element of a Simulink.ConfigComponent array (see heterogeneousBaseOf). */
+const CONFIG_COMPONENTS: ReadonlySet<string> = new Set([
+  'Simulink.SolverCC',
+  'Simulink.DataIOCC',
+  'Simulink.OptimizationCC',
+  'Simulink.DebuggingCC',
+  'Simulink.HardwareCC',
+  'Simulink.ModelReferenceCC',
+  'Simulink.SFSimCC',
+  'Simulink.RTWCC',
+  'Simulink.CodeAppCC',
+  'Simulink.GRTTargetCC',
+  'Simulink.ERTTargetCC',
+  'Simulink.STFCustomTargetCC',
+  'SlCovCC.ConfigComp',
+  'Sldv.ConfigComp',
+  'hdlcoderui.hdlcc',
+]);
diff --git a/test/complexMcosValue.test.ts b/test/complexMcosValue.test.ts
index 936f5b3c..c8f03895 100644
--- a/test/complexMcosValue.test.ts
+++ b/test/complexMcosValue.test.ts
@@ -43,7 +43,9 @@ describe('formatComplexNum spells one element', () => {
     // plain .mat variable holding complex(1/3, 0.1) shows.
     [1 / 3, 0.1, '0.3333333333333333+0.1i'],
     [2 / 3, -Math.PI, '0.6666666666666666-3.141592653589793i'],
-    // A single, widened to the double it is: the plain .mat variable's digits too.
+    // The double a single widens to is spelled as any double is. MatParser no longer hands
+    // one over (a single shows MATLAB's digits for it, C-033: matSingleDigits.test.ts), so a
+    // .mat's complex(single(0.1), 0.2) is 0.1+0.2i; this is the formatter on such a double.
     [Math.fround(0.1), Math.fround(0.2), '0.10000000149011612+0.20000000298023224i'],
     // String()'s exponent form, as every other number in this package prints.
     [1e-20, 2e21, '1e-20+2e+21i'],
diff --git a/test/fixtures/mcos/configset.mat b/test/fixtures/mcos/configset.mat
new file mode 100644
index 00000000..d78bcbe9
Binary files /dev/null and b/test/fixtures/mcos/configset.mat differ
diff --git a/test/fixtures/mcos/configset.truth.json b/test/fixtures/mcos/configset.truth.json
new file mode 100644
index 00000000..956f6027
--- /dev/null
+++ b/test/fixtures/mcos/configset.truth.json
@@ -0,0 +1,123 @@
+{
+  "version": "27.1.0.3409468 (R2027a) Prerelease",
+  "release": "2027a",
+  "file": "configset.mat",
+  "names": [
+    "cs",
+    "csErt",
+    "mixed"
+  ],
+  "paths": {
+    "cs": {
+      "class": "Simulink.ConfigSet",
+      "Components": {
+        "class": "Simulink.ConfigComponent",
+        "size": [
+          9,
+          1
+        ],
+        "elements": [
+          "Simulink.SolverCC",
+          "Simulink.DataIOCC",
+          "Simulink.OptimizationCC",
+          "Simulink.DebuggingCC",
+          "Simulink.HardwareCC",
+          "Simulink.ModelReferenceCC",
+          "Simulink.SFSimCC",
+          "Simulink.RTWCC",
+          "SlCovCC.ConfigComp"
+        ],
+        "names": [
+          "Solver",
+          "Data Import/Export",
+          "Optimization",
+          "Diagnostics",
+          "Hardware Implementation",
+          "Model Referencing",
+          "Simulation Target",
+          "Code Generation",
+          "Simulink Coverage"
+        ]
+      },
+      "rtwIndex": 8,
+      "RTWComponents": {
+        "class": "Simulink.ConfigComponent",
+        "size": [
+          2,
+          1
+        ],
+        "elements": [
+          "Simulink.CodeAppCC",
+          "Simulink.GRTTargetCC"
+        ],
+        "names": [
+          "Code Appearance",
+          "Target"
+        ]
+      }
+    },
+    "csErt": {
+      "class": "Simulink.ConfigSet",
+      "Components": {
+        "class": "Simulink.ConfigComponent",
+        "size": [
+          9,
+          1
+        ],
+        "elements": [
+          "Simulink.SolverCC",
+          "Simulink.DataIOCC",
+          "Simulink.OptimizationCC",
+          "Simulink.DebuggingCC",
+          "Simulink.HardwareCC",
+          "Simulink.ModelReferenceCC",
+          "Simulink.SFSimCC",
+          "Simulink.RTWCC",
+          "SlCovCC.ConfigComp"
+        ],
+        "names": [
+          "Solver",
+          "Data Import/Export",
+          "Optimization",
+          "Diagnostics",
+          "Hardware Implementation",
+          "Model Referencing",
+          "Simulation Target",
+          "Code Generation",
+          "Simulink Coverage"
+        ]
+      },
+      "rtwIndex": 8,
+      "RTWComponents": {
+        "class": "Simulink.ConfigComponent",
+        "size": [
+          2,
+          1
+        ],
+        "elements": [
+          "Simulink.CodeAppCC",
+          "Simulink.ERTTargetCC"
+        ],
+        "names": [
+          "Code Appearance",
+          "Target"
+        ]
+      }
+    },
+    "mixed": {
+      "class": "NdHolder",
+      "Tag": "mixed",
+      "Kids": {
+        "class": "Simulink.Signal",
+        "size": [
+          1,
+          2
+        ],
+        "elements": [
+          "dexdata.DerivedSignal",
+          "Simulink.Signal"
+        ]
+      }
+    }
+  }
+}
\ No newline at end of file
diff --git a/test/fixtures/mcos/make_configset_fixture.m b/test/fixtures/mcos/make_configset_fixture.m
new file mode 100644
index 00000000..5a937a35
--- /dev/null
+++ b/test/fixtures/mcos/make_configset_fixture.m
@@ -0,0 +1,188 @@
+function make_configset_fixture(outDir)
+  % Copyright 2026 The MathWorks, Inc.
+  % Authors configset.mat: object arrays whose elements are of more than one class, held by
+  % an object's property, as MATLAB saves them in a .mat, with a truth file of what MATLAB
+  % says each array and each element is. Run:
+  %
+  %   mw -using Bmain matlab -nodesktop -batch "cd('<repo>/test/fixtures/mcos'); make_configset_fixture"
+  %
+  % (One line, for the reason make_class_fixtures.m gives. The `cd` puts NdHolder.m and the
+  % +dexdata package on the path. Verify by the WROTE lines and the trailing
+  % MAKE_CONFIGSET_FIXTURE_DONE, not by the exit code; any FAIL line above it means the file
+  % says something other than what this header promises.) An optional argument names
+  % another folder to write into, so a run can be inspected before it replaces what is
+  % committed.
+  %
+  % Writes two files:
+  %   configset.mat              MATLAB's default `save` format (Level 5, not -v7.3), of
+  %                              cs     a default Simulink.ConfigSet (grt.tlc), whose
+  %                                     Components mixes a dozen component classes and
+  %                                     whose RTWCC's Components is a Simulink.CodeAppCC
+  %                                     beside a Simulink.GRTTargetCC
+  %                              csErt  the same with SystemTargetFile ert.tlc, so its
+  %                                     RTWCC's Components holds a Simulink.ERTTargetCC
+  %                              mixed  an NdHolder whose Kids is a dexdata.DerivedSignal
+  %                                     (a user's subclass of Simulink.Signal) beside a
+  %                                     Simulink.Signal, the subclass first
+  %   configset.truth.json       MATLAB's answers, read back from the file with `load`:
+  %                              for each array, class() of the array and of each element
+  %                              in order, and each config component's Name
+  %
+  % WHY. Inside an MCOS object (a .mat, a model workspace) the reader named such an array
+  % after its FIRST element and dropped every other element's class: a config set's
+  % Components read as a Simulink.SolverCC array of ten SolverCCs, and a copy of the config
+  % set wrote every component as one. A binary dictionary's reader already keeps each
+  % element's class, and names the array by the rules MATLAB's text format shows
+  % (Simulink.ConfigComponent for a config set's Components, the one MathWorks class beside
+  % a user's subclass of it). No fixture held such an array before this one: the two the
+  % corpus holds are a customer's.
+  here = fileparts(mfilename('fullpath'));
+  if nargin < 1 || isempty(outDir)
+    outDir = here;
+  end
+  if ~isfolder(outDir)
+    mkdir(outDir);
+  end
+  failures = {};
+
+  [V, failures] = values(failures);
+  matPath = fullfile(outDir, 'configset.mat');
+  if isfile(matPath), delete(matPath); end
+  % No version flag: the default, which is what a user's `save` writes.
+  save(matPath, '-struct', 'V');
+  fid = fopen(matPath, 'r');
+  hdr = fread(fid, [1 116], 'char=>char');
+  fclose(fid);
+  if ~startsWith(hdr, 'MATLAB 5.0 MAT-file')
+    failures{end + 1} = sprintf('configset.mat header is "%s"', strtrim(hdr(1:min(end, 40))));
+  end
+  failures = check_uncompressed(failures, V);
+  fprintf('WROTE configset.mat bytes=%d\n', dir(matPath).bytes);
+
+  L = load(matPath);
+  T = struct();
+  T.version = version;
+  T.release = version('-release');
+  T.file = 'configset.mat';
+  T.names = fieldnames(V)';
+  T.paths = struct();
+  names = fieldnames(V);
+  for i = 1:numel(names)
+    n = names{i};
+    if ~isfield(L, n)
+      failures{end + 1} = sprintf('configset.mat does not hold %s', n); %#ok<AGROW>
+      continue
+    end
+    [r, failures] = record(n, L.(n), failures);
+    % What was read back is what was written, or the fixture is not what its name says.
+    [built, failures] = record(n, V.(n), failures);
+    if ~isequal(r, built)
+      failures{end + 1} = sprintf('configset.mat reads %s back as another array', n); %#ok<AGROW>
+    end
+    T.paths.(n) = r;
+  end
+  write_json(fullfile(outDir, 'configset.truth.json'), T);
+
+  if isempty(failures)
+    fprintf('MAKE_CONFIGSET_FIXTURE_DONE\n');
+  else
+    fprintf('FAIL %s\n', failures{:});
+    fprintf('MAKE_CONFIGSET_FIXTURE_FAILED %d\n', numel(failures));
+  end
+end
+
+% ---------------------------------------------------------------------------
+% The values
+% ---------------------------------------------------------------------------
+
+function [V, failures] = values(failures)
+  V = struct();
+  V.cs = Simulink.ConfigSet;
+  csErt = Simulink.ConfigSet;
+  try
+    set_param(csErt, 'SystemTargetFile', 'ert.tlc');
+  catch err
+    failures{end + 1} = sprintf('csErt refused ert.tlc: %s', err.message);
+  end
+  V.csErt = csErt;
+  mixed = NdHolder;
+  mixed.Tag = 'mixed';
+  try
+    mixed.Kids = [dexdata.DerivedSignal, Simulink.Signal];
+  catch err
+    failures{end + 1} = sprintf('mixed refused [DerivedSignal, Signal]: %s', err.message);
+  end
+  V.mixed = mixed;
+end
+
+% ---------------------------------------------------------------------------
+% What MATLAB says each array is
+% ---------------------------------------------------------------------------
+
+function [r, failures] = record(name, x, failures)
+  r = struct();
+  r.class = class(x);
+  if isa(x, 'Simulink.ConfigSet')
+    [comps, failures] = components_of(name, x, failures);
+    r.Components = array_record(comps);
+    r.Components.names = arrayfun(@(c) c.Name, comps, 'UniformOutput', false);
+    rtw = find(arrayfun(@(c) isa(c, 'Simulink.RTWCC'), comps));
+    if numel(rtw) ~= 1
+      failures{end + 1} = sprintf('%s holds %d Simulink.RTWCC components', name, numel(rtw));
+      return
+    end
+    r.rtwIndex = rtw;
+    [inner, failures] = components_of([name '.RTWCC'], comps(rtw), failures);
+    r.RTWComponents = array_record(inner);
+    r.RTWComponents.names = arrayfun(@(c) c.Name, inner, 'UniformOutput', false);
+  elseif isa(x, 'NdHolder')
+    r.Tag = x.Tag;
+    r.Kids = array_record(x.Kids);
+  end
+end
+
+function [comps, failures] = components_of(name, x, failures)
+  % The Components property itself, the array MATLAB stores in the file.
+  try
+    comps = x.Components;
+  catch err
+    failures{end + 1} = sprintf('%s.Components is not readable: %s', name, err.message);
+    comps = [];
+  end
+end
+
+function r = array_record(a)
+  r = struct();
+  r.class = class(a);
+  r.size = size(a);
+  r.elements = arrayfun(@(e) class(e), a(:)', 'UniformOutput', false);
+end
+
+% ---------------------------------------------------------------------------
+% No account name, no machine path
+% ---------------------------------------------------------------------------
+
+function failures = check_uncompressed(failures, V)
+  % The default save deflates each variable, so its bytes are searched as an uncompressed
+  % -v6 save of the same variables, which holds the same subsystem.
+  tmp = [tempname '.mat'];
+  cleanup = onCleanup(@() delete(tmp)); %#ok<NASGU>
+  save(tmp, '-struct', 'V', '-v6');
+  fid = fopen(tmp, 'r');
+  bytes = fread(fid, Inf, 'uint8=>char')';
+  fclose(fid);
+  needles = {getenv('USER'), matlabroot, getenv('HOME')};
+  for k = 1:numel(needles)
+    if ~isempty(needles{k}) && contains(bytes, needles{k})
+      failures{end + 1} = sprintf('configset.mat holds "%s"', needles{k}); %#ok<AGROW>
+    end
+  end
+end
+
+function write_json(path, data)
+  fid = fopen(path, 'w', 'n', 'UTF-8');
+  fprintf(fid, '%s', jsonencode(data, 'PrettyPrint', true));
+  fclose(fid);
+  [~, name, ext] = fileparts(path);
+  fprintf('WROTE %s%s bytes=%d\n', name, ext, dir(path).bytes);
+end
diff --git a/test/fixtures/mcos/make_typed_fixtures.m b/test/fixtures/mcos/make_typed_fixtures.m
new file mode 100644
index 00000000..d2636411
--- /dev/null
+++ b/test/fixtures/mcos/make_typed_fixtures.m
@@ -0,0 +1,369 @@
+function make_typed_fixtures(outDir)
+  % Copyright 2026 The MathWorks, Inc.
+  % Authors the typed-MCOS fixtures: Simulink.Parameters whose Value is a REAL number of a
+  % class other than double (intN, uintN, logical, single), beside double controls and
+  % plain single variables, written by MATLAB into the four venues that can hold them.
+  % Run:
+  %
+  %   mw -using Bmain matlab -nodesktop -batch "cd('<repo>/test/fixtures/mcos'); make_typed_fixtures"
+  %
+  % (One line, for the reason make_class_fixtures.m gives. Verify by the WROTE lines and
+  % the trailing MAKE_TYPED_FIXTURES_DONE, not by the exit code; any FAIL line above it
+  % means a fixture says something other than what this header promises.) An optional
+  % argument names another folder to write into, so a run can be inspected before it
+  % replaces what is committed.
+  %
+  % Writes five files:
+  %   typed_objects.mat          MATLAB's default `save` format (Level 5, not -v7.3)
+  %   typed_ws.slx               an empty model whose MODEL WORKSPACE (DataSource 'Model
+  %                              File', a part of the .slx itself) holds the same values
+  %   typed_mcos.sldd            a data dictionary, FileFormat 'uncompressed-text'
+  %   typed_mcos_binary.sldd     the same entries, FileFormat 'compressed-binary', but
+  %                              for sSingleSweep (names_in says why)
+  %   typed_fixtures.truth.json  MATLAB's answers about each, read back from the file:
+  %                              `load`, the model reopened with load_system, and each
+  %                              dictionary reopened with Simulink.data.dictionary.open
+  %
+  % WHY. Inside an MCOS object (a .mat, a model workspace, a binary dictionary's hex) the
+  % reader handed a real non-double numeric over as a bare number or list, which the node
+  % layer reads as a double: an int32 row Value showed class double, a logical row double,
+  % and a single showed the double it widens to, 3.299999952316284 for single(3.3). Both
+  % dictionaries hold the same Values typed, and show int32, logical and 3.3. Every name
+  % here is in every venue (but for sSingleSweep in the binary dictionary), so a venue that
+  % presents a value differently from another is caught by name.
+  %
+  % The truth, per venue, `paths.<name>`: the class of what was read back, and for its
+  % numbers (a Parameter's Value, or the plain variable itself) `value`: class, size,
+  % mat2str(v, 'class') and `elements`, column-major, each MATLAB's own exact answer —
+  % num2str for an integer or logical element, num2hex for a single or a double,
+  % whose bits are the value, as no decimal spelling is. A value of more than 64 elements
+  % records its class, size and numel alone. Every venue's value is checked here to be the
+  % value written, class, size and bits (a FAIL otherwise).
+  %
+  % THE DIGITS. A dictionary holds MATLAB's own text for a single, so the sweep below is
+  % MATLAB's rule for that text, measured: `%.6g` where that is the same single, otherwise
+  % `%.9g`, and `%.10g` for realmax('single'), whose `%.9g` is past it.
+  %
+  % NO ACCOUNT NAME IN ANY FILE, as make_complex_fixtures.m: the model's Creator and
+  % ModifiedByFormat are a fixed word, USER is that word while a dictionary is written,
+  % and every file and every part of each package is searched for the account name.
+  here = fileparts(mfilename('fullpath'));
+  if nargin < 1 || isempty(outDir)
+    outDir = here;
+  end
+  if ~isfolder(outDir)
+    mkdir(outDir);
+  end
+  failures = {};
+
+  T = struct();
+  T.version = version;
+  T.release = version('-release');
+  T.names = catalog()';
+  [T.mat, failures] = write_mat(outDir, failures);
+  [T.slx, failures] = write_slx(outDir, failures);
+  [T.text, failures] = write_sldd(outDir, failures, 'typed_mcos.sldd', 'uncompressed-text');
+  [T.binary, failures] = write_sldd(outDir, failures, 'typed_mcos_binary.sldd', 'compressed-binary');
+  write_json(fullfile(outDir, 'typed_fixtures.truth.json'), T);
+
+  if isempty(failures)
+    fprintf('MAKE_TYPED_FIXTURES_DONE\n');
+  else
+    fprintf('FAIL %s\n', failures{:});
+    fprintf('MAKE_TYPED_FIXTURES_FAILED %d\n', numel(failures));
+  end
+end
+
+% ---------------------------------------------------------------------------
+% The catalog: one name per value, the same names in every venue.
+% ---------------------------------------------------------------------------
+
+function names = catalog()
+  names = fieldnames(values())';
+end
+
+% The names a venue holds: all of them, but for the sweep in the binary dictionary.
+% binarySaveKeepsUnedited.test.ts edits every element of every binary fixture, one save
+% per edit, and 4,082 of them took three minutes; MATLAB's binary text for the same 4,082
+% singles is its text one (measured when this was written: every element alike).
+function names = names_in(format)
+  names = catalog();
+  if strcmp(format, 'compressed-binary')
+    names = setdiff(names, {'sSingleSweep'}, 'stable');
+  end
+end
+
+function S = values()
+  S = struct();
+  % Integers, every shape: scalar, row, column, matrix, N-D, and the two 64-bit
+  % extremes no double holds.
+  S.pInt8 = param(int8(-42));
+  S.pInt32Row = param(int32([100 200 300 400]));
+  S.pInt32Col = param(int32([100; 200; 300]));
+  S.pUint8Mat = param(uint8([1 2; 3 4]));
+  S.pInt16Nd = param(int16(reshape(1:8, 2, 2, 2)));
+  S.pUint16Row = param(uint16([0 65535]));
+  S.pUint64Max = param(intmax('uint64'));
+  S.pInt64Min = param(intmin('int64'));
+  % Logical: the scalar was already a boolean everywhere; the row and the column are not.
+  S.pLogical = param(true);
+  S.pLogicalRow = param([true false true]);
+  S.pLogicalCol = param([true; false; true]);
+  % Single: decimals with no exact binary form, so the widened double shows, and values
+  % that are exact, which must not move.
+  S.pSingle = param(single(3.3));
+  S.pSingleRow = param(single([1.1 2.2 3.3]));
+  S.pSingleCol = param(single([0.1; 0.2]));
+  S.pSingleThird = param(single(1/3));
+  S.pSingleExact = param(single([0.5 16777216]));
+  % Double controls: their presentation must not change.
+  S.pDouble = param(3.3);
+  S.pDoubleRow = param([1.1 2.2 3.3]);
+  S.pDoubleCol = param([1; 2; 3]);
+  % Plain singles, no object around them.
+  S.sSingle = single(3.3);
+  S.sSingleRow = single([1.1 2.2 3.3]);
+  S.sSingleThird = single(1/3);
+  % Every 1048577th float32 bit pattern from the smallest subnormal to the largest finite
+  % one, each with its negation, then realmax and realmin: the digits the text dictionary
+  % spells every one of them with are MATLAB's rule for a single's text, which a single
+  % read out of MAT bytes is held to.
+  sweep = typecast(uint32(1):uint32(1048577):uint32(2139095040), 'single');
+  S.sSingleSweep = [sweep, -sweep, realmax('single'), realmin('single')];
+  % Singles whose nine-digit spelling is an exact decimal tie: 1000000.125 is halfway
+  % between 1000000.12 and 1000000.13.
+  S.sSingleTies = single([1000000.125 1000000.375 1000000.625 -1000000.125 2097151.875]);
+end
+
+function p = param(v)
+  p = Simulink.Parameter;
+  p.Value = v;
+end
+
+% ---------------------------------------------------------------------------
+% The venues
+% ---------------------------------------------------------------------------
+
+function [T, failures] = write_mat(outDir, failures)
+  matPath = fullfile(outDir, 'typed_objects.mat');
+  if isfile(matPath), delete(matPath); end
+  vars = values();
+  % No version flag: the default, which is what a user's `save` writes. The header is
+  % checked below.
+  save(matPath, '-struct', 'vars');
+  clear vars
+  fid = fopen(matPath, 'r');
+  hdr = fread(fid, [1 116], 'char=>char');
+  fclose(fid);
+  want = 'MATLAB 5.0 MAT-file';
+  if ~startsWith(hdr, want)
+    failures{end + 1} = sprintf('typed_objects.mat header is "%s"', strtrim(hdr(1:min(end, 40))));
+  end
+  failures = check_no_user(failures, matPath, 'typed_objects.mat', getenv('USER'));
+  fprintf('WROTE typed_objects.mat bytes=%d\n', dir(matPath).bytes);
+  [T, failures] = measure('typed_objects.mat', load(matPath), failures);
+end
+
+function [T, failures] = write_slx(outDir, failures)
+  % The model is named for the file it is saved to: save_system to another name renames
+  % the block diagram.
+  mdl = 'typed_ws';
+  slxPath = fullfile(outDir, [mdl '.slx']);
+  if bdIsLoaded(mdl), close_system(mdl, 0); end
+  if isfile(slxPath), delete(slxPath); end
+  closer = onCleanup(@() close_if_loaded(mdl)); %#ok<NASGU>
+
+  new_system(mdl);
+  set_param(mdl, 'Creator', 'fixture', 'ModifiedByFormat', 'fixture');
+  ws = get_param(mdl, 'ModelWorkspace');
+  if ~strcmp(ws.DataSource, 'Model File')
+    failures{end + 1} = sprintf('new model workspace DataSource is %s', ws.DataSource);
+  end
+  vars = values();
+  names = fieldnames(vars);
+  for i = 1:numel(names)
+    assignin(ws, names{i}, vars.(names{i}));
+  end
+  save_system(mdl, slxPath);
+  close_system(mdl, 0);
+  clear vars ws
+  fprintf('WROTE %s.slx bytes=%d\n', mdl, dir(slxPath).bytes);
+  failures = zip_no_user(slxPath, [mdl '.slx'], failures, getenv('USER'));
+
+  load_system(slxPath);
+  ws = get_param(mdl, 'ModelWorkspace');
+  dataSource = ws.DataSource;
+  V = struct();
+  for i = 1:numel(names)
+    V.(names{i}) = getVariable(ws, names{i});
+  end
+  clear ws
+  close_system(mdl, 0);
+  [T, failures] = measure([mdl '.slx'], V, failures);
+  T.dataSource = dataSource;
+end
+
+function close_if_loaded(mdl)
+  if bdIsLoaded(mdl), close_system(mdl, 0); end
+end
+
+function [T, failures] = write_sldd(outDir, failures, ddName, format)
+  % MATLAB keys open dictionaries by FILE NAME alone, so everything is closed first.
+  ddPath = fullfile(outDir, ddName);
+  Simulink.data.dictionary.closeAll('-discard');
+  if isfile(ddPath), delete(ddPath); end
+
+  oldUser = getenv('USER');
+  setenv('USER', 'fixture');
+  restoreUser = onCleanup(@() setenv('USER', oldUser));
+
+  vars = values();
+  dd = Simulink.data.dictionary.create(ddPath);
+  ds = getSection(dd, 'Design Data');
+  names = names_in(format);
+  for i = 1:numel(names)
+    try
+      addEntry(ds, names{i}, vars.(names{i}));
+    catch err
+      failures{end + 1} = sprintf('%s refused entry %s: %s', ddName, names{i}, err.message); %#ok<AGROW>
+    end
+  end
+  % Before saveChanges, which is what decides the bytes.
+  dd.FileFormat = format;
+  saveChanges(dd);
+  clear ds vars
+  close(dd);
+  clear dd
+  Simulink.data.dictionary.closeAll('-discard');
+  clear restoreUser
+  if ~strcmp(getenv('USER'), oldUser)
+    failures{end + 1} = 'USER was not restored after the dictionary was written';
+  end
+  if strcmp(format, 'compressed-binary')
+    failures = zip_no_user(ddPath, ddName, failures, oldUser);
+  else
+    failures = check_no_user(failures, ddPath, ddName, oldUser);
+  end
+  fprintf('WROTE %s bytes=%d\n', ddName, dir(ddPath).bytes);
+
+  dd = Simulink.data.dictionary.open(ddPath);
+  fileFormat = dd.FileFormat;
+  if ~strcmp(fileFormat, format)
+    failures{end + 1} = sprintf('%s reopens as FileFormat %s, written as %s', ddName, fileFormat, format);
+  end
+  ds = getSection(dd, 'Design Data');
+  V = struct();
+  for i = 1:numel(names)
+    V.(names{i}) = getValue(getEntry(ds, names{i}));
+  end
+  clear ds
+  close(dd);
+  clear dd
+  Simulink.data.dictionary.closeAll('-discard');
+  [T, failures] = measure(ddName, V, failures, names);
+  T.fileFormat = fileFormat;
+end
+
+% ---------------------------------------------------------------------------
+% Measuring what was read back
+% ---------------------------------------------------------------------------
+
+function [T, failures] = measure(file, V, failures, names)
+  if nargin < 4
+    names = catalog();
+  end
+  T = struct();
+  T.file = file;
+  T.paths = struct();
+  built = values();
+  for i = 1:numel(names)
+    n = names{i};
+    if ~isfield(V, n)
+      failures{end + 1} = sprintf('%s does not hold %s', file, n); %#ok<AGROW>
+      continue
+    end
+    x = V.(n);
+    r = struct();
+    r.class = class(x);
+    if isa(x, 'Simulink.Parameter')
+      v = x.Value;
+      b = built.(n).Value;
+    else
+      v = x;
+      b = built.(n);
+    end
+    r.value = value_record(v);
+    % What was read back is what was written, class and bits, or the fixture is not
+    % the value its name says.
+    if ~strcmp(class(v), class(b)) || ~isequal(size(v), size(b)) || ~isequal(v, b)
+      failures{end + 1} = sprintf('%s reads %s back as %s %s', file, n, class(v), mat2str(size(v))); %#ok<AGROW>
+    end
+    T.paths.(n) = r;
+  end
+end
+
+function r = value_record(v)
+  r = struct();
+  r.class = class(v);
+  r.size = size(v);
+  % A long value's elements are its bits in the .mat, which `measure` holds every other
+  % venue to; listing them would make this file the size of the sweep.
+  if numel(v) > 64
+    r.numel = numel(v);
+    return
+  end
+  try
+    r.mat2str = mat2str(v, 'class');
+  catch e
+    r.mat2str_error = e.message;
+  end
+  flat = v(:)';
+  e = cell(1, numel(flat));
+  for k = 1:numel(flat)
+    x = flat(k);
+    if islogical(x) || isinteger(x)
+      % num2str, not sprintf('%d'): sprintf answers 1.844674e+19 for intmax('uint64').
+      e{k} = num2str(x);
+    else
+      e{k} = num2hex(x);
+    end
+  end
+  r.elements = e;
+end
+
+% ---------------------------------------------------------------------------
+% No account name
+% ---------------------------------------------------------------------------
+
+function failures = check_no_user(failures, path, label, user)
+  if isempty(user), return, end
+  fid = fopen(path, 'r');
+  bytes = fread(fid, Inf, 'uint8=>char')';
+  fclose(fid);
+  if contains(bytes, user)
+    failures{end + 1} = sprintf('%s names the account that saved it', label);
+  end
+end
+
+function failures = zip_no_user(zipPath, label, failures, user)
+  % A zip: a search of its raw bytes cannot see inside a deflated part, so every part
+  % is searched unpacked, in a scratch folder removed again before this returns.
+  tmp = tempname;
+  mkdir(tmp);
+  cleanup = onCleanup(@() rmdir(tmp, 's')); %#ok<NASGU>
+  files = unzip(zipPath, tmp);
+  for k = 1:numel(files)
+    if isfile(files{k})
+      [~, partName, partExt] = fileparts(files{k});
+      failures = check_no_user(failures, files{k}, sprintf('%s part %s%s', label, partName, partExt), user);
+    end
+  end
+end
+
+function write_json(path, data)
+  fid = fopen(path, 'w', 'n', 'UTF-8');
+  fprintf(fid, '%s', jsonencode(data, 'PrettyPrint', true));
+  fclose(fid);
+  [~, name, ext] = fileparts(path);
+  fprintf('WROTE %s%s bytes=%d\n', name, ext, dir(path).bytes);
+end
diff --git a/test/fixtures/mcos/typed_fixtures.truth.json b/test/fixtures/mcos/typed_fixtures.truth.json
new file mode 100644
index 00000000..11e90dfb
--- /dev/null
+++ b/test/fixtures/mcos/typed_fixtures.truth.json
@@ -0,0 +1,1514 @@
+{
+  "version": "27.1.0.3409468 (R2027a) Prerelease",
+  "release": "2027a",
+  "names": [
+    "pInt8",
+    "pInt32Row",
+    "pInt32Col",
+    "pUint8Mat",
+    "pInt16Nd",
+    "pUint16Row",
+    "pUint64Max",
+    "pInt64Min",
+    "pLogical",
+    "pLogicalRow",
+    "pLogicalCol",
+    "pSingle",
+    "pSingleRow",
+    "pSingleCol",
+    "pSingleThird",
+    "pSingleExact",
+    "pDouble",
+    "pDoubleRow",
+    "pDoubleCol",
+    "sSingle",
+    "sSingleRow",
+    "sSingleThird",
+    "sSingleSweep",
+    "sSingleTies"
+  ],
+  "mat": {
+    "file": "typed_objects.mat",
+    "paths": {
+      "pInt8": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int8",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "int8(-42)",
+          "elements": [
+            "-42"
+          ]
+        }
+      },
+      "pInt32Row": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int32",
+          "size": [
+            1,
+            4
+          ],
+          "mat2str": "int32([100 200 300 400])",
+          "elements": [
+            "100",
+            "200",
+            "300",
+            "400"
+          ]
+        }
+      },
+      "pInt32Col": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int32",
+          "size": [
+            3,
+            1
+          ],
+          "mat2str": "int32([100;200;300])",
+          "elements": [
+            "100",
+            "200",
+            "300"
+          ]
+        }
+      },
+      "pUint8Mat": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "uint8",
+          "size": [
+            2,
+            2
+          ],
+          "mat2str": "uint8([1 2;3 4])",
+          "elements": [
+            "1",
+            "3",
+            "2",
+            "4"
+          ]
+        }
+      },
+      "pInt16Nd": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int16",
+          "size": [
+            2,
+            2,
+            2
+          ],
+          "mat2str_error": "Input matrix must be 2-D.",
+          "elements": [
+            "1",
+            "2",
+            "3",
+            "4",
+            "5",
+            "6",
+            "7",
+            "8"
+          ]
+        }
+      },
+      "pUint16Row": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "uint16",
+          "size": [
+            1,
+            2
+          ],
+          "mat2str": "uint16([0 65535])",
+          "elements": [
+            "0",
+            "65535"
+          ]
+        }
+      },
+      "pUint64Max": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "uint64",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "uint64(18446744073709551615)",
+          "elements": [
+            "18446744073709551615"
+          ]
+        }
+      },
+      "pInt64Min": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int64",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "int64(-9223372036854775808)",
+          "elements": [
+            "-9223372036854775808"
+          ]
+        }
+      },
+      "pLogical": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "logical",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "logical(true)",
+          "elements": [
+            "1"
+          ]
+        }
+      },
+      "pLogicalRow": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "logical",
+          "size": [
+            1,
+            3
+          ],
+          "mat2str": "logical([true false true])",
+          "elements": [
+            "1",
+            "0",
+            "1"
+          ]
+        }
+      },
+      "pLogicalCol": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "logical",
+          "size": [
+            3,
+            1
+          ],
+          "mat2str": "logical([true;false;true])",
+          "elements": [
+            "1",
+            "0",
+            "1"
+          ]
+        }
+      },
+      "pSingle": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "single(3.29999995231628)",
+          "elements": [
+            "40533333"
+          ]
+        }
+      },
+      "pSingleRow": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            3
+          ],
+          "mat2str": "single([1.10000002384186 2.20000004768372 3.29999995231628])",
+          "elements": [
+            "3f8ccccd",
+            "400ccccd",
+            "40533333"
+          ]
+        }
+      },
+      "pSingleCol": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "single",
+          "size": [
+            2,
+            1
+          ],
+          "mat2str": "single([0.100000001490116;0.200000002980232])",
+          "elements": [
+            "3dcccccd",
+            "3e4ccccd"
+          ]
+        }
+      },
+      "pSingleThird": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "single(0.333333343267441)",
+          "elements": [
+            "3eaaaaab"
+          ]
+        }
+      },
+      "pSingleExact": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            2
+          ],
+          "mat2str": "single([0.5 16777216])",
+          "elements": [
+            "3f000000",
+            "4b800000"
+          ]
+        }
+      },
+      "pDouble": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "double",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "double(3.3)",
+          "elements": [
+            "400a666666666666"
+          ]
+        }
+      },
+      "pDoubleRow": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "double",
+          "size": [
+            1,
+            3
+          ],
+          "mat2str": "double([1.1 2.2 3.3])",
+          "elements": [
+            "3ff199999999999a",
+            "400199999999999a",
+            "400a666666666666"
+          ]
+        }
+      },
+      "pDoubleCol": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "double",
+          "size": [
+            3,
+            1
+          ],
+          "mat2str": "double([1;2;3])",
+          "elements": [
+            "3ff0000000000000",
+            "4000000000000000",
+            "4008000000000000"
+          ]
+        }
+      },
+      "sSingle": {
+        "class": "single",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "single(3.29999995231628)",
+          "elements": [
+            "40533333"
+          ]
+        }
+      },
+      "sSingleRow": {
+        "class": "single",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            3
+          ],
+          "mat2str": "single([1.10000002384186 2.20000004768372 3.29999995231628])",
+          "elements": [
+            "3f8ccccd",
+            "400ccccd",
+            "40533333"
+          ]
+        }
+      },
+      "sSingleThird": {
+        "class": "single",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "single(0.333333343267441)",
+          "elements": [
+            "3eaaaaab"
+          ]
+        }
+      },
+      "sSingleSweep": {
+        "class": "single",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            4082
+          ],
+          "numel": 4082
+        }
+      },
+      "sSingleTies": {
+        "class": "single",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            5
+          ],
+          "mat2str": "single([1000000.125 1000000.375 1000000.625 -1000000.125 2097151.875])",
+          "elements": [
+            "49742402",
+            "49742406",
+            "4974240a",
+            "c9742402",
+            "49ffffff"
+          ]
+        }
+      }
+    }
+  },
+  "slx": {
+    "file": "typed_ws.slx",
+    "paths": {
+      "pInt8": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int8",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "int8(-42)",
+          "elements": [
+            "-42"
+          ]
+        }
+      },
+      "pInt32Row": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int32",
+          "size": [
+            1,
+            4
+          ],
+          "mat2str": "int32([100 200 300 400])",
+          "elements": [
+            "100",
+            "200",
+            "300",
+            "400"
+          ]
+        }
+      },
+      "pInt32Col": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int32",
+          "size": [
+            3,
+            1
+          ],
+          "mat2str": "int32([100;200;300])",
+          "elements": [
+            "100",
+            "200",
+            "300"
+          ]
+        }
+      },
+      "pUint8Mat": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "uint8",
+          "size": [
+            2,
+            2
+          ],
+          "mat2str": "uint8([1 2;3 4])",
+          "elements": [
+            "1",
+            "3",
+            "2",
+            "4"
+          ]
+        }
+      },
+      "pInt16Nd": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int16",
+          "size": [
+            2,
+            2,
+            2
+          ],
+          "mat2str_error": "Input matrix must be 2-D.",
+          "elements": [
+            "1",
+            "2",
+            "3",
+            "4",
+            "5",
+            "6",
+            "7",
+            "8"
+          ]
+        }
+      },
+      "pUint16Row": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "uint16",
+          "size": [
+            1,
+            2
+          ],
+          "mat2str": "uint16([0 65535])",
+          "elements": [
+            "0",
+            "65535"
+          ]
+        }
+      },
+      "pUint64Max": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "uint64",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "uint64(18446744073709551615)",
+          "elements": [
+            "18446744073709551615"
+          ]
+        }
+      },
+      "pInt64Min": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int64",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "int64(-9223372036854775808)",
+          "elements": [
+            "-9223372036854775808"
+          ]
+        }
+      },
+      "pLogical": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "logical",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "logical(true)",
+          "elements": [
+            "1"
+          ]
+        }
+      },
+      "pLogicalRow": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "logical",
+          "size": [
+            1,
+            3
+          ],
+          "mat2str": "logical([true false true])",
+          "elements": [
+            "1",
+            "0",
+            "1"
+          ]
+        }
+      },
+      "pLogicalCol": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "logical",
+          "size": [
+            3,
+            1
+          ],
+          "mat2str": "logical([true;false;true])",
+          "elements": [
+            "1",
+            "0",
+            "1"
+          ]
+        }
+      },
+      "pSingle": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "single(3.29999995231628)",
+          "elements": [
+            "40533333"
+          ]
+        }
+      },
+      "pSingleRow": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            3
+          ],
+          "mat2str": "single([1.10000002384186 2.20000004768372 3.29999995231628])",
+          "elements": [
+            "3f8ccccd",
+            "400ccccd",
+            "40533333"
+          ]
+        }
+      },
+      "pSingleCol": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "single",
+          "size": [
+            2,
+            1
+          ],
+          "mat2str": "single([0.100000001490116;0.200000002980232])",
+          "elements": [
+            "3dcccccd",
+            "3e4ccccd"
+          ]
+        }
+      },
+      "pSingleThird": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "single(0.333333343267441)",
+          "elements": [
+            "3eaaaaab"
+          ]
+        }
+      },
+      "pSingleExact": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            2
+          ],
+          "mat2str": "single([0.5 16777216])",
+          "elements": [
+            "3f000000",
+            "4b800000"
+          ]
+        }
+      },
+      "pDouble": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "double",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "double(3.3)",
+          "elements": [
+            "400a666666666666"
+          ]
+        }
+      },
+      "pDoubleRow": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "double",
+          "size": [
+            1,
+            3
+          ],
+          "mat2str": "double([1.1 2.2 3.3])",
+          "elements": [
+            "3ff199999999999a",
+            "400199999999999a",
+            "400a666666666666"
+          ]
+        }
+      },
+      "pDoubleCol": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "double",
+          "size": [
+            3,
+            1
+          ],
+          "mat2str": "double([1;2;3])",
+          "elements": [
+            "3ff0000000000000",
+            "4000000000000000",
+            "4008000000000000"
+          ]
+        }
+      },
+      "sSingle": {
+        "class": "single",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "single(3.29999995231628)",
+          "elements": [
+            "40533333"
+          ]
+        }
+      },
+      "sSingleRow": {
+        "class": "single",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            3
+          ],
+          "mat2str": "single([1.10000002384186 2.20000004768372 3.29999995231628])",
+          "elements": [
+            "3f8ccccd",
+            "400ccccd",
+            "40533333"
+          ]
+        }
+      },
+      "sSingleThird": {
+        "class": "single",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "single(0.333333343267441)",
+          "elements": [
+            "3eaaaaab"
+          ]
+        }
+      },
+      "sSingleSweep": {
+        "class": "single",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            4082
+          ],
+          "numel": 4082
+        }
+      },
+      "sSingleTies": {
+        "class": "single",
+        "value": {
+          "class": "single",
+          "size": [
+            1,
+            5
+          ],
+          "mat2str": "single([1000000.125 1000000.375 1000000.625 -1000000.125 2097151.875])",
+          "elements": [
+            "49742402",
+            "49742406",
+            "4974240a",
+            "c9742402",
+            "49ffffff"
+          ]
+        }
+      }
+    },
+    "dataSource": "Model File"
+  },
+  "text": {
+    "file": "typed_mcos.sldd",
+    "paths": {
+      "pInt8": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int8",
+          "size": [
+            1,
+            1
+          ],
+          "mat2str": "int8(-42)",
+          "elements": [
+            "-42"
+          ]
+        }
+      },
+      "pInt32Row": {
+        "class": "Simulink.Parameter",
+        "value": {
+          "class": "int32",
+          "size": [
+            1,
+            4
+          ],
+          "mat2str": "int32([100 200 300 400])",
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diff --git a/test/fixtures/mcos/typed_mcos.sldd b/test/fixtures/mcos/typed_mcos.sldd
new file mode 100644
index 00000000..f7fe763a
--- /dev/null
+++ b/test/fixtures/mcos/typed_mcos.sldd
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+							"uuid": "b730247d-85e1-40c2-92bc-7bc052c01a26",
+							"namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e",
+							"lastmod": "20261016T235609.624491",
+							"modifiedby": "fixture",
+							"isderived": "0"
+						},
+						"value": {
+							"_array_class": "Simulink.Parameter",
+							"_dimensions": [
+								1,
+								1
+							],
+							"_elements": [
+								{
+									"_id": "1",
+									"_properties": {
+										"CoderInfo": {
+											"_id": "2",
+											"_object_class": "Simulink.CoderInfo",
+											"_properties": {
+												"CSCPackageName": "Simulink",
+												"CustomAttributes": {
+													"_id": "3",
+													"_object_class": "SimulinkCSC.AttribClass_Simulink_Default",
+													"_properties": {}
+												},
+												"CustomStorageClass": "Default",
+												"ParameterOrSignal": "Parameter",
+												"StorageClass": "Auto"
+											}
+										},
+										"Complexity": "real",
+										"DataType": "uint64",
+										"Dimensions": [
+											1,
+											1
+										],
+										"Value": {
+											"_type": "uint64",
+											"_value": "18446744073709551615U"
+										}
+									}
+								}
+							],
+							"_mw_element_type": "MATLABArray"
+						}
+					},
+					{
+						"name": "pUint8Mat",
+						"metadata": {
+							"uuid": "aba95cfe-111a-4ba2-a017-dea8d7744cac",
+							"namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e",
+							"lastmod": "20261016T235609.623724",
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+							"isderived": "0"
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+						"value": {
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+											"_properties": {
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+													"_object_class": "SimulinkCSC.AttribClass_Simulink_Default",
+													"_properties": {}
+												},
+												"CustomStorageClass": "Default",
+												"ParameterOrSignal": "Parameter",
+												"StorageClass": "Auto"
+											}
+										},
+										"Complexity": "real",
+										"DataType": "uint8",
+										"Dimensions": [
+											2,
+											2
+										],
+										"Value": {
+											"_type": "uint8",
+											"_value": "Matrix(2,2)\n[[1U, 2U]; [3U, 4U]]"
+										}
+									}
+								}
+							],
+							"_mw_element_type": "MATLABArray"
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+					},
+					{
+						"name": "sSingle",
+						"metadata": {
+							"uuid": "0f144800-f512-48d6-9146-40c3d6d62e3e",
+							"namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e",
+							"lastmod": "20261016T235609.628961",
+							"modifiedby": "fixture",
+							"isderived": "0"
+						},
+						"value": {
+							"_type": "single",
+							"_value": "3.3F"
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+					},
+					{
+						"name": "sSingleRow",
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+							"namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e",
+							"lastmod": "20261016T235609.629459",
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+						},
+						"value": {
+							"_type": "single",
+							"_value": "[1.1F, 2.2F, 3.3F]"
+						}
+					},
+					{
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+						"value": {
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\n-3.92949026e+24F, -4.231722e+24F, -4.53395374e+24F, -4.8366677e+24F, -5.44113118e+24F, -6.04559467e+24F, \n-6.65005816e+24F, -7.25452164e+24F, -7.85898513e+24F, -8.46344861e+24F, -9.0679121e+24F, -9.67334462e+24F, \n-1.08822716e+25F, -1.20911986e+25F, -1.33001255e+25F, -1.45090525e+25F, -1.57179795e+25F, -1.69269065e+25F, \n-1.81358334e+25F, -1.93467077e+25F, -2.17645616e+25F, -2.41824156e+25F, -2.66002695e+25F, -2.90181235e+25F, \n-3.14359774e+25F, -3.38538314e+25F, -3.62716853e+25F, -3.86934523e+25F, -4.35291601e+25F, -4.8364868e+25F, \n-5.32005759e+25F, -5.80362838e+25F, -6.28719917e+25F, -6.77077e+25F, -7.25434075e+25F, -7.73869783e+25F, \n-8.70583941e+25F, -9.67298099e+25F, -1.06401226e+26F, -1.16072641e+26F, -1.25744057e+26F, -1.35415473e+26F, \n-1.45086889e+26F, -1.54774104e+26F, -1.74116936e+26F, -1.93459767e+26F, -2.12802599e+26F, -2.3214543e+26F, \n-2.51488262e+26F, -2.70831094e+26F, -2.90173925e+26F, -3.09548504e+26F, -3.48234167e+26F, -3.8691983e+26F, \n-4.25605493e+26F, -4.64291156e+26F, -5.02976819e+26F, -5.41662482e+26F, -5.80348145e+26F, -6.19097597e+26F, \n-6.96468924e+26F, -7.7384025e+26F, -8.51211576e+26F, -9.28582902e+26F, -1.00595423e+27F, -1.08332555e+27F, \n-1.16069688e+27F, -1.23819638e+27F, -1.39293903e+27F, -1.54768168e+27F, -1.70242433e+27F, -1.85716699e+27F, \n-2.01190964e+27F, -2.16665229e+27F, -2.32139494e+27F, -2.47639511e+27F, -2.78588042e+27F, -3.09536572e+27F, \n-3.40485103e+27F, -3.71433633e+27F, -4.02382164e+27F, -4.33330694e+27F, -4.64279225e+27F, -4.95279495e+27F, \n-5.57176556e+27F, -6.19073617e+27F, -6.80970678e+27F, -7.42867739e+27F, -8.047648e+27F, -8.66661861e+27F, \n-9.28558922e+27F, -9.90559934e+27F, -1.11435406e+28F, -1.23814818e+28F, -1.3619423e+28F, -1.48573642e+28F, \n-1.60953054e+28F, -1.73332467e+28F, -1.85711879e+28F, -1.98112176e+28F, -2.22871e+28F, -2.47629824e+28F, \n-2.72388649e+28F, -2.97147473e+28F, -3.21906298e+28F, -3.46665122e+28F, -3.71423946e+28F, -3.96224729e+28F, \n-4.45742378e+28F, -4.95260027e+28F, -5.44777675e+28F, -5.94295324e+28F, -6.43812973e+28F, -6.93330622e+28F, \n-7.42848271e+28F, -7.92450214e+28F, -8.91485511e+28F, -9.90520809e+28F, -1.08955611e+29F, -1.1885914e+29F, \n-1.2876267e+29F, -1.386662e+29F, -1.4856973e+29F, -1.58490194e+29F, -1.78297253e+29F, -1.98104313e+29F, \n-2.17911372e+29F, -2.37718432e+29F, -2.57525491e+29F, -2.77332551e+29F, -2.9713961e+29F, -3.1698069e+29F, \n-3.56594809e+29F, -3.96208928e+29F, -4.35823047e+29F, -4.75437166e+29F, -5.15051285e+29F, -5.54665404e+29F, \n-5.94279523e+29F, -6.33962e+29F, -7.13190222e+29F, -7.9241846e+29F, -8.71646699e+29F, -9.50874937e+29F, \n-1.03010317e+30F, -1.10933141e+30F, -1.18855965e+30F, -1.26792518e+30F, -1.42638165e+30F, -1.58483813e+30F, \n-1.74329461e+30F, -1.90175108e+30F, -2.06020756e+30F, -2.21866403e+30F, -2.37712051e+30F, -2.53585277e+30F, \n-2.85276573e+30F, -3.16967868e+30F, -3.48659163e+30F, -3.80350458e+30F, -4.12041753e+30F, -4.43733049e+30F, \n-4.75424344e+30F, -5.07171038e+30F, -5.70553629e+30F, -6.33936219e+30F, -6.9731881e+30F, -7.607014e+30F, \n-8.24084e+30F, -8.87466581e+30F, -9.50849171e+30F, -1.01434304e+31F, -1.14110822e+31F, -1.26787341e+31F, \n-1.39463859e+31F, -1.52140377e+31F, -1.64816895e+31F, -1.77493413e+31F, -1.90169931e+31F, -2.02868802e+31F, \n-2.28221838e+31F, -2.53574874e+31F, -2.78927911e+31F, -3.04280947e+31F, -3.29633983e+31F, -3.54987019e+31F, \n-3.80340055e+31F, -4.05738e+31F, -4.56444063e+31F, -5.07150136e+31F, -5.57856208e+31F, -6.08562281e+31F, \n-6.59268353e+31F, -7.09974425e+31F, -7.60680498e+31F, -8.11476756e+31F, -9.12888901e+31F, -1.01430105e+32F, \n-1.11571319e+32F, -1.21712533e+32F, -1.31853748e+32F, -1.41994962e+32F, -1.52136177e+32F, -1.62295506e+32F, \n-1.82577935e+32F, -2.02860364e+32F, -2.23142793e+32F, -2.43425222e+32F, -2.63707651e+32F, -2.8399008e+32F, \n-3.04272509e+32F, -3.24591321e+32F, -3.65156179e+32F, -4.05721037e+32F, -4.46285895e+32F, -4.86850753e+32F, \n-5.27415611e+32F, -5.67980469e+32F, -6.08545327e+32F, -6.49183262e+32F, -7.30313e+32F, -8.11442693e+32F, \n-8.92572409e+32F, -9.73702125e+32F, -1.05483184e+33F, -1.13596156e+33F, -1.21709127e+33F, -1.29836776e+33F, \n-1.46062719e+33F, -1.62288662e+33F, -1.78514606e+33F, -1.94740549e+33F, -2.10966492e+33F, -2.27192435e+33F, \n-2.43418378e+33F, -2.596738e+33F, -2.92125686e+33F, -3.24577572e+33F, -3.57029459e+33F, -3.89481345e+33F, \n-4.21933231e+33F, -4.54385118e+33F, -4.86837e+33F, -5.19348095e+33F, -5.84251867e+33F, -6.4915564e+33F, \n-7.14059413e+33F, -7.78963185e+33F, -8.43866958e+33F, -9.08770731e+33F, -9.73674503e+33F, -1.03869718e+34F, \n-1.16850473e+34F, -1.29831227e+34F, -1.42811982e+34F, -1.55792736e+34F, -1.68773491e+34F, -1.81754245e+34F, \n-1.94735e+34F, -2.07739634e+34F, -2.33701143e+34F, -2.59662652e+34F, -2.85624161e+34F, -3.1158567e+34F, \n-3.37547179e+34F, -3.63508688e+34F, -3.89470197e+34F, -4.15479664e+34F, -4.67402682e+34F, -5.193257e+34F, \n-5.71248719e+34F, -6.23171737e+34F, -6.75094755e+34F, -7.27017773e+34F, -7.78940791e+34F, -8.30960121e+34F, \n-9.34806157e+34F, -1.03865219e+35F, -1.14249823e+35F, -1.24634427e+35F, -1.3501903e+35F, -1.45403634e+35F, \n-1.55788237e+35F, -1.66192183e+35F, -1.8696139e+35F, -2.07730597e+35F, -2.28499804e+35F, -2.49269012e+35F, \n-2.70038219e+35F, -2.90807426e+35F, -3.11576633e+35F, -3.32384682e+35F, -3.73923097e+35F, -4.15461511e+35F, \n-4.56999926e+35F, -4.9853834e+35F, -5.40076755e+35F, -5.81615169e+35F, -6.23153584e+35F, -6.6477e+35F, \n-7.47846827e+35F, -8.30923656e+35F, -9.14000485e+35F, -9.97077314e+35F, -1.08015414e+36F, -1.16323097e+36F, \n-1.2463078e+36F, -1.32954126e+36F, -1.49569492e+36F, -1.66184858e+36F, -1.82800224e+36F, -1.9941559e+36F, \n-2.16030955e+36F, -2.32646321e+36F, -2.49261687e+36F, -2.65908506e+36F, -2.99139238e+36F, -3.32369969e+36F, \n-3.65600701e+36F, -3.98831433e+36F, -4.32062164e+36F, -4.65292896e+36F, -4.98523627e+36F, -5.3181752e+36F, \n-5.98279e+36F, -6.64740446e+36F, -7.31201909e+36F, -7.97663372e+36F, -8.64124836e+36F, -9.30586299e+36F, \n-9.97047762e+36F, -1.06363605e+37F, -1.19655898e+37F, -1.32948191e+37F, -1.46240483e+37F, -1.59532776e+37F, \n-1.72825069e+37F, -1.86117361e+37F, -1.99409654e+37F, -2.12727414e+37F, -2.39312e+37F, -2.65896584e+37F, \n-2.92481169e+37F, -3.19065755e+37F, -3.4565034e+37F, -3.72234925e+37F, -3.9881951e+37F, -4.25455233e+37F, \n-4.78624403e+37F, -5.31793574e+37F, -5.84962744e+37F, -6.38131915e+37F, -6.91301085e+37F, -7.44470256e+37F, \n-7.97639426e+37F, -8.50911277e+37F, -9.57249618e+37F, -1.06358796e+38F, -1.1699263e+38F, -1.27626464e+38F, \n-1.38260298e+38F, -1.48894132e+38F, -1.59527966e+38F, -1.70182418e+38F, -1.91450086e+38F, -2.12717754e+38F, \n-2.33985422e+38F, -2.5525309e+38F, -2.76520759e+38F, -2.97788427e+38F, -3.19056095e+38F, 3.402823466e+38F, \n1.17549435e-38F]"
+						}
+					},
+					{
+						"name": "sSingleThird",
+						"metadata": {
+							"uuid": "3f379542-e299-4c20-a797-75c72242f7f8",
+							"namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e",
+							"lastmod": "20261016T235609.629808",
+							"modifiedby": "fixture",
+							"isderived": "0"
+						},
+						"value": {
+							"_type": "single",
+							"_value": "0.333333343F"
+						}
+					},
+					{
+						"name": "sSingleTies",
+						"metadata": {
+							"uuid": "2c3cde07-1512-48df-8643-9dce817bf019",
+							"namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e",
+							"lastmod": "20261016T235609.630254",
+							"modifiedby": "fixture",
+							"isderived": "0"
+						},
+						"value": {
+							"_type": "single",
+							"_value": "[1000000.12F, 1000000.38F, 1000000.62F, -1000000.12F, 2097151.88F]"
+						}
+					}
+				],
+				"Dictionary References": [],
+				"AllowAccessBWS": false
+			}
+		}
+	}
+}
\ No newline at end of file
diff --git a/test/fixtures/mcos/typed_mcos_binary.sldd b/test/fixtures/mcos/typed_mcos_binary.sldd
new file mode 100644
index 00000000..39fc698e
Binary files /dev/null and b/test/fixtures/mcos/typed_mcos_binary.sldd differ
diff --git a/test/fixtures/mcos/typed_objects.mat b/test/fixtures/mcos/typed_objects.mat
new file mode 100644
index 00000000..b279702b
Binary files /dev/null and b/test/fixtures/mcos/typed_objects.mat differ
diff --git a/test/fixtures/mcos/typed_ws.slx b/test/fixtures/mcos/typed_ws.slx
new file mode 100644
index 00000000..dc7268d7
Binary files /dev/null and b/test/fixtures/mcos/typed_ws.slx differ
diff --git a/test/matSingleDigits.test.ts b/test/matSingleDigits.test.ts
new file mode 100644
index 00000000..875667f6
--- /dev/null
+++ b/test/matSingleDigits.test.ts
@@ -0,0 +1,130 @@
+// Copyright 2026 The MathWorks, Inc.
+//
+// C-033, its digits half: a SINGLE read out of MAT bytes shows MATLAB's digits, not the
+// double it widens to. MatParser read each float32 with getFloat32, which hands back the
+// double of the same value, and every number in this package prints as the shortest text
+// that is that DOUBLE: single(3.3) is the double 3.299999952316284, and showed so — in a
+// .mat, in an MCOS object's property (a .mat, a model workspace, a binary dictionary's
+// hex) and in a text dictionary's MAT stream — where both dictionaries hold MATLAB's own
+// text for the same value, 3.3 (the corpus twins param_vars.mat / param_json.sldd,
+// P30_TypeMaxUnitDesc, and the plain SingleRowVec).
+//
+// The reader now keeps, for a value of class single, the decimal MATLAB spells it with,
+// measured (R2027a, both dictionary formats): C's `%.6g` where that is the same float32,
+// otherwise `%.9g` with an exact tie to the even digit, and `%.10g` for realmax('single').
+// That is not the shortest decimal that is the same float32: single(1/3) is 0.333333343,
+// where 0.33333334 would do. typedMcosFixtures.test.ts grades it against MATLAB's own text
+// for 4,086 float32 bit patterns. It is lossless: it is the same float32, so a save writes
+// the bits it read (MatWriter's setFloat32, a text dictionary's `3.3F`). A value of another
+// class is read as it was, a double whose bytes happen to be stored as miSINGLE included:
+// its value is the double, whatever its storage.
+//
+// Each value is built byte by byte (test/tools/matBytes.ts) and read through the real
+// readers: a .mat by the session, and a MAT stream by decodeMatStream, the reader a text
+// dictionary's cdata and a binary dictionary's hex go through.
+import { describe, it, expect } from 'vitest';
+import { decodeMatStream } from '../src/datamodel/parser/MatParser.js';
+import { createSession } from '../src/index.js';
+import { CLASS, MI, matFile, numericVar, sparseVar } from './tools/matBytes.js';
+
+const opened = (variables: Uint8Array[]): any => createSession().addMatSource('t.mat', matFile(variables));
+const single = (name: string, dimensions: number[], real: number[], imag?: number[]) =>
+  numericVar({ name, cls: CLASS.SINGLE, dimensions, real, imag });
+const child = (root: any, name: string): any => root.children.find((c: any) => c.name === name);
+
+/** The value of a MAT stream holding the one variable `bytes`, as decodeMatStream reads it. */
+function streamValue(bytes: Uint8Array): unknown {
+  const decoded = decodeMatStream(Uint8Array.from([0x00, 0x01, 0x49, 0x4d, 0x00, 0x00, 0x00, 0x00, ...bytes]));
+  if (!decoded.ok) throw new Error('the stream did not decode');
+  return decoded.variable.value;
+}
+
+describe('a single read out of MAT bytes shows MATLAB\'s digits for it', () => {
+  it('a .mat: single(3.3) shows 3.3 and single([1.1 2.2 3.3]) shows [1.1 2.2 3.3]', () => {
+    const root = opened([single('s', [1, 1], [3.3]), single('r', [1, 3], [1.1, 2.2, 3.3])]);
+    // Before: 3.299999952316284, and [1.100000023841858 2.200000047683716 3.299999952316284].
+    expect([child(root, 's').displayValue, child(root, 's').className]).toEqual(['3.3', 'single']);
+    expect([child(root, 'r').displayValue, child(root, 'r').className]).toEqual(['[1.1 2.2 3.3]', 'single']);
+    expect(child(root, 'r').children.map((c: any) => c.displayValue)).toEqual(['1.1', '2.2', '3.3']);
+  });
+
+  it('a MAT stream (a text dictionary\'s cdata, a binary dictionary\'s hex): the same numbers', () => {
+    expect(streamValue(single('', [1, 1], [3.3]))).toBe(3.3);
+    expect(streamValue(single('', [1, 3], [1.1, 2.2, 3.3]))).toEqual([1.1, 2.2, 3.3]);
+    expect(streamValue(single('', [2, 1], [0.1, 1 / 3]))).toEqual([0.1, 0.333333343]);
+  });
+
+  it('a complex single: both parts', () => {
+    const root = opened([single('z', [1, 1], [0.1], [0.2])]);
+    // Before: 0.10000000149011612+0.20000000298023224i.
+    expect(child(root, 'z').displayValue).toBe('0.1+0.2i');
+  });
+
+  it('a sparse single: its non-zeros', () => {
+    const root = opened([
+      sparseVar({ name: 'sp', cls: CLASS.SINGLE, sparseFlag: true, dataType: MI.SINGLE, dimensions: [2, 2], ir: [0, 1], jc: [0, 1, 2], real: [1.1, 2.2] }),
+    ]);
+    const sp = child(root, 'sp');
+    expect(sp.className).toBe('single');
+    expect(sp.children.map((c: any) => c.displayValue)).toEqual(['1.1', '2.2']);
+  });
+
+  it('MATLAB\'s digits: %.6g where that is the same single, %.9g where it is not', () => {
+    const stored = [1 / 3, 3.4028234663852886e38, 1e-45, 12187.2695, 473.15, 0.01, 2.3023181].map(Math.fround);
+    const values = streamValue(single('', [1, stored.length], stored)) as number[];
+    // MATLAB's own text for each (R2027a, make_typed_fixtures.m, both dictionary formats):
+    // single(1/3) is 0.333333343, though 0.33333334 is the same single; realmax('single') is
+    // 3.402823466e+38, its %.9g being past it; the smallest subnormal is 1.4013e-45, though
+    // 1e-45 is the same single. 12187.2695, 473.15, 0.01 and 2.3023181 are a customer
+    // dictionary's text for the same singles.
+    expect(values).toEqual([0.333333343, 3.402823466e38, 1.4013e-45, 12187.2695, 473.15, 0.01, 2.3023181]);
+    // Lossless: each is the float32 that was stored.
+    expect(values.map(Math.fround)).toEqual(stored);
+  });
+
+  it('a nine-digit tie goes to the even digit, as MATLAB writes it', () => {
+    // 1000000.125 is halfway between 1000000.12 and 1000000.13; MATLAB writes 1000000.12
+    // (typed_mcos.sldd's sSingleTies), where toPrecision gives 1000000.13.
+    const stored = [1000000.125, 1000000.375, 1000000.625, -1000000.125, 2097151.875, 2 ** -13];
+    const values = streamValue(single('', [1, stored.length], stored)) as number[];
+    expect(values).toEqual([1000000.12, 1000000.38, 1000000.62, -1000000.12, 2097151.88, 0.000122070312]);
+    expect(values.map(Math.fround)).toEqual(stored);
+  });
+
+  it('lossless over a sweep of float32 bit patterns: each shown number is the stored single', () => {
+    // Every 1048577th pattern of the positive finite range, and its negation: the exponents
+    // from subnormal to the largest, with mantissas that need from one digit to nine. The
+    // same patterns as make_typed_fixtures.m's sSingleSweep, whose digits are graded against
+    // MATLAB's own in typedMcosFixtures.test.ts.
+    const stored: number[] = [];
+    const bits = new DataView(new ArrayBuffer(4));
+    for (let b = 1; b < 0x7f800000; b += 0x100001) {
+      bits.setUint32(0, b);
+      stored.push(bits.getFloat32(0), -bits.getFloat32(0));
+    }
+    const read = streamValue(single('', [1, stored.length], stored)) as number[];
+    expect(read).toHaveLength(stored.length);
+    expect(read.filter((v, k) => Math.fround(v) !== stored[k])).toEqual([]);
+    // And none is the widened double, which takes up to seventeen digits: at most ten.
+    expect(read.filter((v) => v.toPrecision(11) !== Number(v.toPrecision(10)).toPrecision(11))).toEqual([]);
+  });
+
+  it('control: a single that is exact is unchanged, and so are Inf, -Inf, NaN and -0', () => {
+    const values = streamValue(single('', [1, 7], [0.5, 16777216, -2.25, Infinity, -Infinity, NaN, -0])) as number[];
+    expect(values.slice(0, 6)).toEqual([0.5, 16777216, -2.25, Infinity, -Infinity, NaN]);
+    expect(Object.is(values[6], -0)).toBe(true);
+  });
+
+  it('control: a DOUBLE stored as miSINGLE keeps the double it is', () => {
+    // A writer may store a double whose values a float32 holds exactly as miSINGLE. Its
+    // value is the double, so it shows every digit the double has.
+    const bytes = numericVar({ name: 'd', cls: CLASS.DOUBLE, dataType: MI.SINGLE, dimensions: [1, 1], real: [1.1] });
+    expect(streamValue(bytes)).toBe(Math.fround(1.1));
+    const root = opened([bytes]);
+    expect([child(root, 'd').displayValue, child(root, 'd').className]).toEqual(['1.100000023841858', 'double']);
+  });
+
+  it('control: a double is read as it was', () => {
+    expect(streamValue(numericVar({ name: '', cls: CLASS.DOUBLE, dimensions: [1, 2], real: [3.3, 1 / 3] }))).toEqual([3.3, 1 / 3]);
+  });
+});
diff --git a/test/mcosColumnVector.test.ts b/test/mcosColumnVector.test.ts
index 1579037e..9ae7e83b 100644
--- a/test/mcosColumnVector.test.ts
+++ b/test/mcosColumnVector.test.ts
@@ -6,6 +6,7 @@ import { decodeMcosBlob, type OpaqueVarRef } from '../src/datamodel/parser/McosP
 import { parseMat } from '../src/datamodel/parser/MatParser.js';
 import * as NodeRegistry from '../src/datamodel/node/NodeRegistry.js';
 import '../src/datamodel/node/data/NodeClassMap.js';
+import { CLASS } from './tools/matBytes.js';
 
 // An Nx1 real or logical MCOS property keeps its column shape. The decoder handed the
 // node layer any numeric or logical VECTOR as a bare list, and a bare list is a row
@@ -14,14 +15,15 @@ import '../src/datamodel/node/data/NodeClassMap.js';
 // [10 20 30] — a different MATLAB value. The text dictionary's twin states a column as
 // Matrix(3,1), as MATLAB itself writes it, and the binary dictionary's reader keeps
 // it; a complex value and a logical MATRIX already kept their shape in this decoder.
-// Now a rank-2 column takes the typed Matrix(r,1) literal too. A 1xN row is still the
-// bare list it was, and rank > 2 is unchanged.
+// Now a rank-2 column takes the typed Matrix(r,1) literal too. A double 1xN row is still
+// the bare list it was, and rank > 2 is unchanged. (A row of any other class, a logical
+// one included, is typed since C-033: see the second describe below.)
 //
 // ParamMat.mat (MATLAB-written) holds a Simulink.Parameter whose Value is the 2x3
 // [1 2 3; 4 5 6]. Its dims subelement in the MCOS blob is respelled, same length, so
 // the six doubles MATLAB stored column-major (1 4 2 5 3 6) are read as another shape;
 // setting the array-flags logical bit, as the Bp.mat tests in mcosParser.test.ts do,
-// makes the same cell logical.
+// makes the same cell logical, and respelling its class byte makes it another class.
 
 function blobParts(file: string): { raw: Uint8Array; vars: OpaqueVarRef[] } {
   const path = fileURLToPath(new URL(`./fixtures/mcos/${file}`, import.meta.url));
@@ -47,8 +49,12 @@ function findAll(raw: Uint8Array, needle: number[]): number[] {
   return at;
 }
 
-/** ParamMat.mat's Value respelled as rows x cols, optionally logical. */
-function paramMatValue(rows: number, cols: number, logical = false): unknown {
+/**
+ * ParamMat.mat's Value respelled as rows x cols, optionally logical, and optionally of
+ * another class: `cls` is the array-flags class byte (matBytes.ts CLASS), which leaves the
+ * six stored elements as they were, so only the class the cell declares changes.
+ */
+function paramMatValue(rows: number, cols: number, logical = false, cls?: number): unknown {
   const { raw, vars } = blobParts('ParamMat.mat');
   // Exactly one such subelement, so fixture drift fails loudly instead of silently
   // patching the wrong bytes.
@@ -62,6 +68,7 @@ function paramMatValue(rows: number, cols: number, logical = false): unknown {
   view.setUint32(dimsAt + 8, rows, true);
   view.setUint32(dimsAt + 12, cols, true);
   if (logical) patched[dimsAt - 7] |= LOGICAL_FLAG;
+  if (cls !== undefined) patched[dimsAt - 8] = cls;
   return decodeMcosBlob(patched, vars).get('ParamMat')!.properties.Value;
 }
 
@@ -100,9 +107,74 @@ describe('decodeMcosBlob — an Nx1 MCOS property keeps its column shape', () =>
     });
   });
 
-  it('control: a logical 1x6 is still the bare row of booleans it was', () => {
+  // C-033: a bare list of booleans is read as a DOUBLE row by the node layer
+  // (MatlabVariableNode.parseFlatArray, which also serves a text dictionary's bare list,
+  // where double is right), so the row showed class double. It is the typed literal the
+  // binary dictionary's reader gives a logical row (typed_binary.sldd's lglVec).
+  it('a logical 1x6 is the typed logical row a binary dictionary gives, and shows as logical', () => {
     const value = paramMatValue(1, 6, true);
-    expect(value).toEqual([true, true, true, true, true, true]);
-    expect(shown(value)).toMatchObject({ dims: [1, 6] });
+    expect(value).toEqual({ _type: 'logical', _value: '[1, 1, 1, 1, 1, 1]' });
+    expect(shown(value)).toEqual({
+      className: 'logical',
+      dims: [1, 6],
+      display: '[true true true true true true]',
+    });
+  });
+});
+
+// C-033: a REAL numeric property of a class other than double keeps its class. The
+// decoder handed every numeric scalar and row over bare, and stamped `double` on every
+// column and matrix, so a Simulink.Parameter whose Value is int32([1 2 3]) showed class
+// double in a .mat and a model workspace, where both dictionaries show int32 (the corpus
+// twins param_vars.mat / param_bin.sldd, P47_ValInt32Vec). Each is now the binary
+// dictionary's spelling of the same value (BinarySlddParser formatTypedScalar,
+// formatTypedVector, formatMatrix), which the node layer already reads. A double is
+// unchanged: bare scalar and row, `_type: 'double'` column and matrix.
+describe('decodeMcosBlob — a real non-double MCOS property keeps its class', () => {
+  it('an int32 1x6 is a typed int32 row and shows as int32', () => {
+    const value = paramMatValue(1, 6, false, CLASS.INT32);
+    expect(value).toEqual({ _type: 'int32', _value: '[1, 4, 2, 5, 3, 6]' });
+    expect(shown(value)).toEqual({ className: 'int32', dims: [1, 6], display: '[1 4 2 5 3 6]' });
+  });
+
+  it('an int16 6x1 is a typed int16 Matrix(6,1) and shows as an int16 column', () => {
+    const value = paramMatValue(6, 1, false, CLASS.INT16);
+    expect(value).toEqual({ _type: 'int16', _value: 'Matrix(6,1)\n[1, 4, 2, 5, 3, 6]' });
+    expect(shown(value)).toEqual({ className: 'int16', dims: [6, 1], display: '[1; 4; 2; 5; 3; 6]' });
+  });
+
+  it('a uint8 1x1 is a typed uint8 scalar and shows as uint8', () => {
+    const value = paramMatValue(1, 1, false, CLASS.UINT8);
+    expect(value).toEqual({ _type: 'uint8', _value: '1U' });
+    expect(shown(value)).toEqual({ className: 'uint8', dims: [1, 1], display: '1' });
+  });
+
+  it('a single 2x3 is a typed single matrix and shows as single', () => {
+    const value = paramMatValue(2, 3, false, CLASS.SINGLE);
+    expect(value).toEqual({ _type: 'single', _value: 'Matrix(2,3)\n[[1F, 2F, 3F]; [4F, 5F, 6F]]' });
+    expect(shown(value)).toMatchObject({ className: 'single', dims: [2, 3] });
+  });
+
+  it('a uint64 1x3 is a typed uint64 row, each element with its U', () => {
+    const value = paramMatValue(1, 3, false, CLASS.UINT64);
+    // Three of the six stored elements are held: the dims say 1x3.
+    expect(value).toEqual({ _type: 'uint64', _value: '[1U, 4U, 2U]' });
+    expect(shown(value)).toEqual({ className: 'uint64', dims: [1, 3], display: '[1 4 2]' });
+  });
+
+  it('control: a double 1x1 is still the bare number it was', () => {
+    const value = paramMatValue(1, 1, false, CLASS.DOUBLE);
+    expect(value).toBe(1);
+    expect(shown(value)).toEqual({ className: 'double', dims: [1, 1], display: '1' });
+  });
+
+  it('control: a double 1x6, 6x1 and 2x3 are exactly as they were', () => {
+    expect(paramMatValue(1, 6, false, CLASS.DOUBLE)).toEqual([1, 4, 2, 5, 3, 6]);
+    expect(paramMatValue(6, 1, false, CLASS.DOUBLE)).toEqual({ _type: 'double', _value: 'Matrix(6,1)\n[1.0, 4.0, 2.0, 5.0, 3.0, 6.0]' });
+    expect(paramMatValue(2, 3, false, CLASS.DOUBLE)).toEqual({ _type: 'double', _value: 'Matrix(2,3)\n[[1.0, 2.0, 3.0]; [4.0, 5.0, 6.0]]' });
+  });
+
+  it('control: a logical 1x1 is still the boolean it was', () => {
+    expect(paramMatValue(1, 1, true)).toBe(true);
   });
 });
diff --git a/test/mcosEmptyLogical.test.ts b/test/mcosEmptyLogical.test.ts
new file mode 100644
index 00000000..cca2fe0f
--- /dev/null
+++ b/test/mcosEmptyLogical.test.ts
@@ -0,0 +1,116 @@
+// Copyright 2026 The MathWorks, Inc.
+//
+// An EMPTY logical of rank 3 or more, held by an MCOS object's property (a .mat, a model
+// workspace), keeps its class and its shape: McosParser.resolveValue hands it over in the
+// typed logical literal, `{_type: 'logical', _value: 'Matrix(2,0,2)\n[[]; []]'}`, which the
+// node layer shows as a <2x0x2 logical>. It always did, until C-033's logical arm returned
+// `[]` for every empty logical before reading the shape, and `[]` reads as a double 0x0.
+//
+// Every other empty is the `[]` it was before C-033 and after it: an empty logical of rank
+// 2, and an empty of any numeric class (DESIGN.md records that as a limitation).
+//
+// typed_objects.mat is MATLAB's (test/fixtures/mcos/make_typed_fixtures.m). Its pInt16Nd is
+// a Simulink.Parameter whose Value is int16(reshape(1:8, 2, 2, 2)); that cell's dims
+// subelement is respelled, same length, to 2x0x2, and its array-flags logical bit is set,
+// as mcosColumnVector.test.ts does to ParamMat.mat's 2x3. No MATLAB-written file in the
+// fixtures or the corpus holds an empty logical of rank 3 in an MCOS object.
+import { describe, it, expect } from 'vitest';
+import { readFileSync } from 'node:fs';
+import { fileURLToPath } from 'node:url';
+import { decodeMcosBlob, type OpaqueVarRef } from '../src/datamodel/parser/McosParser.js';
+import { parseMat } from '../src/datamodel/parser/MatParser.js';
+import * as NodeRegistry from '../src/datamodel/node/NodeRegistry.js';
+import '../src/datamodel/node/data/NodeClassMap.js';
+
+function blobParts(file: string): { raw: Uint8Array; vars: OpaqueVarRef[] } {
+  const buf = readFileSync(fileURLToPath(new URL(`./fixtures/mcos/${file}`, import.meta.url)));
+  const { variables } = parseMat(buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength) as ArrayBuffer);
+  const anon = variables.find((v) => (v as unknown as { _anonymous?: boolean })._anonymous)!;
+  const opaque = variables.filter((v) => v.isOpaque && v.name);
+  return { raw: anon._rawBytes!, vars: opaque.map((v) => ({ name: v.name, className: v.className, rawBytes: v._rawBytes })) };
+}
+
+function findAll(raw: Uint8Array, needle: number[]): number[] {
+  const at: number[] = [];
+  for (let i = 0; i + needle.length <= raw.length; i++) {
+    if (needle.every((b, k) => raw[i + k] === b)) at.push(i);
+  }
+  return at;
+}
+
+const LOGICAL_FLAG = 0x02;
+
+/** A cell's dims subelement: miINT32, its byte count, and each extent. */
+const dimsSubelement = (extents: number[]): number[] => [
+  5, 0, 0, 0, extents.length * 4, 0, 0, 0,
+  ...extents.flatMap((n) => [n & 0xff, (n >> 8) & 0xff, 0, 0]),
+];
+
+/**
+ * The Value of `name` in `file`, its dims subelement (`from`, which must be the only one in the
+ * blob) respelled as `to`, of the same rank, and the cell made logical where `logical` is set.
+ */
+function respelledValue(file: string, name: string, from: number[], to: number[], logical: boolean): unknown {
+  const { raw, vars } = blobParts(file);
+  const hits = findAll(raw, dimsSubelement(from));
+  expect(hits).toHaveLength(1);
+  const at = hits[0];
+  // The array-flags subelement just before it, whose class byte is at `at - 8` and whose
+  // flags byte is at `at - 7` (miUINT32, 8 bytes).
+  expect(Array.from(raw.slice(at - 16, at - 8))).toEqual([6, 0, 0, 0, 8, 0, 0, 0]);
+  expect(raw[at - 7] & LOGICAL_FLAG).toBe(0);
+  const patched = raw.slice();
+  const view = new DataView(patched.buffer, patched.byteOffset, patched.byteLength);
+  to.forEach((n, k) => view.setUint32(at + 8 + k * 4, n, true));
+  if (logical) patched[at - 7] |= LOGICAL_FLAG;
+  return decodeMcosBlob(patched, vars).get(name)!.properties.Value;
+}
+
+// What the host shows for the value, and the shape it holds.
+function shown(value: unknown): { className: string; dims: number[]; display: string } {
+  const node: any = NodeRegistry.parseValue(value, 'Value', null);
+  return { className: node.className, dims: node._dims, display: node.displayValue };
+}
+
+const ND = ['typed_objects.mat', 'pInt16Nd', [2, 2, 2]] as const;
+const MAT = ['ParamMat.mat', 'ParamMat', [2, 3]] as const;
+
+describe('decodeMcosBlob: an empty logical of rank 3 keeps its class and its shape', () => {
+  it('precondition: pInt16Nd is the int16 2x2x2 MATLAB wrote', () => {
+    const [file, name, dims] = ND;
+    const value = respelledValue(file, name, [...dims], [...dims], false);
+    expect(value).toEqual({ _type: 'int16', _value: 'Matrix(2,2,2)\n[[1, 3]; [2, 4]; [5, 7]; [6, 8]]' });
+  });
+
+  it('a logical 2x0x2 is the typed logical Matrix(2,0,2), and shows as a <2x0x2 logical>', () => {
+    const [file, name, dims] = ND;
+    const value = respelledValue(file, name, [...dims], [2, 0, 2], true);
+    expect(value).toEqual({ _type: 'logical', _value: 'Matrix(2,0,2)\n[[]; []]' });
+    expect(shown(value)).toEqual({ className: 'logical', dims: [2, 0, 2], display: '<2x0x2 logical>' });
+  });
+
+  it('a logical 0x2x2 and 2x2x0 are typed alike', () => {
+    const [file, name, dims] = ND;
+    expect(shown(respelledValue(file, name, [...dims], [0, 2, 2], true))).toMatchObject({ className: 'logical', dims: [0, 2, 2] });
+    expect(shown(respelledValue(file, name, [...dims], [2, 2, 0], true))).toMatchObject({ className: 'logical', dims: [2, 2, 0] });
+  });
+
+  it('control: a logical 2x2x2 is the typed logical it was', () => {
+    const [file, name, dims] = ND;
+    const value = respelledValue(file, name, [...dims], [...dims], true);
+    expect(value).toMatchObject({ _type: 'logical' });
+    expect(shown(value)).toMatchObject({ className: 'logical', dims: [2, 2, 2] });
+  });
+
+  it('control: an int16 2x0x2 is still the [] it was', () => {
+    const [file, name, dims] = ND;
+    expect(respelledValue(file, name, [...dims], [2, 0, 2], false)).toEqual([]);
+  });
+
+  it('control: a logical 0x0, 1x0, 0x1, 2x0 and 0x3 are still the [] they were', () => {
+    const [file, name, dims] = MAT;
+    for (const to of [[0, 0], [1, 0], [0, 1], [2, 0], [0, 3]]) {
+      expect(respelledValue(file, name, [...dims], to, true), to.join('x')).toEqual([]);
+    }
+  });
+});
diff --git a/test/mcosMixedObjectArray.test.ts b/test/mcosMixedObjectArray.test.ts
new file mode 100644
index 00000000..0f4385fa
--- /dev/null
+++ b/test/mcosMixedObjectArray.test.ts
@@ -0,0 +1,351 @@
+// Copyright 2026 The MathWorks, Inc.
+//
+// F1-47: an object array held by an MCOS object's property (a .mat, a model workspace), whose
+// elements are of more than one class. The MCOS reader named the array after its first element
+// and gave no element a class of its own, so each element read, showed and copied as one of the
+// first element's class:
+//   - a config set's Components read as a Simulink.SolverCC array, and a copy of the config set
+//     pasted into a dictionary wrote all nine components as Simulink.SolverCC;
+//   - a dexdata.DerivedSignal beside a Simulink.Signal read as a dexdata.DerivedSignal array of
+//     two dexdata.DerivedSignals.
+// It now reads as the binary dictionary reader does (D6/D15; the rule is objectArrayClass.ts,
+// shared by both): the array under the class MATLAB's text format names, and each element of
+// another class under its own `_object_class`.
+//
+// configset.mat is MATLAB's (R2027a, test/fixtures/mcos/make_configset_fixture.m), and
+// configset.truth.json is what MATLAB says each array and each element is, read back out of
+// it: class() of the array, which is the class this reader names, and class() of each element.
+// busArray.mat is re-pointed byte by byte where no MATLAB file holds the case.
+import { describe, it, expect } from 'vitest';
+import { readFileSync } from 'node:fs';
+import { fileURLToPath } from 'node:url';
+import { strFromU8, unzipSync } from 'fflate';
+import { createSession } from '../src/index.js';
+import { ingest } from '../src/core/ingest.js';
+import { decodeMcosBlob, type OpaqueVarRef } from '../src/datamodel/parser/McosParser.js';
+import { arrayClassOf } from '../src/datamodel/parser/objectArrayClass.js';
+import { parseMat } from '../src/datamodel/parser/MatParser.js';
+import { SECTION_NAMESPACE } from '../src/datamodel/SectionConstants.js';
+import '../src/datamodel/node/data/NodeClassMap.js';
+
+const fixturePath = (name: string): string => fileURLToPath(new URL(`./fixtures/${name}`, import.meta.url));
+const bytes = (name: string): Uint8Array => new Uint8Array(readFileSync(fixturePath(name)));
+const buffer = (u8: Uint8Array): ArrayBuffer => u8.buffer.slice(u8.byteOffset, u8.byteOffset + u8.byteLength) as ArrayBuffer;
+
+/** The two inputs decodeMcosBlob takes, out of a .mat, as MatNode.fromParsed builds them. */
+function blobParts(name: string): { raw: Uint8Array; vars: OpaqueVarRef[] } {
+  const { variables } = parseMat(buffer(bytes(name)));
+  const anon = variables.find((v) => (v as unknown as { _anonymous?: boolean })._anonymous)!;
+  const opaque = variables.filter((v) => v.isOpaque && v.name);
+  return { raw: anon._rawBytes!, vars: opaque.map((v) => ({ name: v.name, className: v.className, rawBytes: v._rawBytes })) };
+}
+
+interface ArrayTruth {
+  class: string;
+  size: number[];
+  elements: string[];
+  names?: string[];
+}
+interface ConfigSetTruth {
+  class: string;
+  Components: ArrayTruth;
+  rtwIndex: number;
+  RTWComponents: ArrayTruth;
+}
+const truth: { release: string; paths: { cs: ConfigSetTruth; csErt: ConfigSetTruth; mixed: { class: string; Kids: ArrayTruth } } } = JSON.parse(
+  readFileSync(fixturePath('mcos/configset.truth.json'), 'utf8'),
+);
+
+/** An array's class and each element's, as a reader that holds no element class would name it. */
+function classesOf(array: any): { arrayClass: string; elements: string[] } {
+  return { arrayClass: array._array_class, elements: array._elements.map((e: any) => e._object_class ?? array._array_class) };
+}
+
+describe('configset.mat, as MATLAB wrote it: each mixed array under MATLAB\'s class, each element under its own', () => {
+  const decoded = (() => {
+    const { raw, vars } = blobParts('mcos/configset.mat');
+    return decodeMcosBlob(raw, vars);
+  })();
+
+  it('the truth is MATLAB\'s, and says what this file is for', () => {
+    expect(truth.release).toBe('2027a');
+    // Two arrays of each config set mix classes, and the holder's does, with the subclass first.
+    expect(new Set(truth.paths.cs.Components.elements).size).toBeGreaterThan(5);
+    expect(truth.paths.cs.RTWComponents.elements).toEqual(['Simulink.CodeAppCC', 'Simulink.GRTTargetCC']);
+    expect(truth.paths.csErt.RTWComponents.elements).toEqual(['Simulink.CodeAppCC', 'Simulink.ERTTargetCC']);
+    expect(truth.paths.mixed.Kids.elements).toEqual(['dexdata.DerivedSignal', 'Simulink.Signal']);
+  });
+
+  for (const name of ['cs', 'csErt'] as const) {
+    it(`${name}: Components, and its RTWCC's Components, are Simulink.ConfigComponent arrays of MATLAB's components in order`, () => {
+      const t = truth.paths[name];
+      const components: any = decoded.get(name)!.properties.Components;
+      expect(t.Components.class).toBe('Simulink.ConfigComponent');
+      expect(components._array_class).toBe(t.Components.class);
+      expect(components._dimensions).toEqual(t.Components.size);
+      // Each element's own class, on every element, since none is the array's class.
+      expect(components._elements.map((e: any) => e._object_class)).toEqual(t.Components.elements);
+
+      const rtw = components._elements[t.rtwIndex - 1];
+      expect(rtw._object_class).toBe('Simulink.RTWCC');
+      const inner = rtw._properties.Components;
+      expect(t.RTWComponents.class).toBe('Simulink.ConfigComponent');
+      expect(inner._array_class).toBe(t.RTWComponents.class);
+      expect(inner._elements.map((e: any) => e._object_class)).toEqual(t.RTWComponents.elements);
+    });
+  }
+
+  it('mixed: a dexdata.DerivedSignal beside a Simulink.Signal is a Simulink.Signal array, the subclass marked', () => {
+    const kids: any = decoded.get('mixed')!.properties.Kids;
+    expect(truth.paths.mixed.Kids.class).toBe('Simulink.Signal');
+    expect(classesOf(kids)).toEqual({ arrayClass: truth.paths.mixed.Kids.class, elements: truth.paths.mixed.Kids.elements });
+    // Only the element of another class than the array's says so, as the binary reader writes it.
+    expect(kids._elements.map((e: any) => e._object_class)).toEqual(['dexdata.DerivedSignal', undefined]);
+    // The subclass's own properties are its own.
+    expect(kids._elements[0]._properties.Routing).toBe('bus');
+    expect('Routing' in kids._elements[1]._properties).toBe(false);
+  });
+
+  it('mixed shows a <1x2 Simulink.Signal> whose elements are a dexdata.DerivedSignal and a Simulink.Signal', () => {
+    const root: any = ingest(createSession(), buffer(bytes('mcos/configset.mat')), { filename: 'configset.mat' });
+    const kids = root.children.find((c: any) => c.name === 'mixed').children.find((c: any) => c.name === 'Kids');
+    expect([kids.className, kids.displayValue]).toEqual(['Simulink.Signal', '<1x2 Simulink.Signal>']);
+    expect(kids.children.map((c: any) => [c.constructor.name, c.className])).toEqual([
+      ['ObjectNode', 'dexdata.DerivedSignal'],
+      ['SignalNode', 'Simulink.Signal'],
+    ]);
+  });
+});
+
+// What a host copies out of the .mat goes into a dictionary under each element's own class: a
+// copy used to write every component of a config set as a Simulink.SolverCC.
+describe('configset.mat, copied into a binary dictionary and saved', () => {
+  const session = createSession();
+  const mat: any = ingest(session, buffer(bytes('mcos/configset.mat')), { filename: 'configset.mat' });
+  const root: any = ingest(session, buffer(bytes('sparse/sparse_binary.sldd')), { filename: 'sparse_binary.sldd' });
+  const meta = root.getSection('design').children[0].metadata;
+  let seq = 0;
+  const paste = (name: string, section: string): void => {
+    const payload: any = JSON.parse(JSON.stringify(mat.children.find((c: any) => c.name === name).serialize()));
+    payload.name = name + '_fromMat';
+    payload.metadata = { ...meta, namespace: SECTION_NAMESPACE[section], uuid: `00000000-0000-4000-8000-f147000000${String(++seq).padStart(2, '0')}` };
+    root.getSection(section).parseEntry(payload);
+  };
+  paste('cs', 'config');
+  paste('csErt', 'config');
+  paste('mixed', 'design');
+  const saved: any = session.serializeSource(root.name);
+  const xml = strFromU8(unzipSync(saved.bytes)['data/chunk0.xml']);
+  const reopened: any = ingest(createSession(), buffer(saved.bytes), { filename: 'sparse_binary.sldd' });
+
+  /** The `<Object>` of the entry `name` in the saved chunk. */
+  const entryBlock = (name: string): string => {
+    const at = xml.indexOf('<P Name="Name" Class="char">' + name + '</P>');
+    expect(at, name).toBeGreaterThan(0);
+    return xml.slice(xml.lastIndexOf('<Object', at), xml.indexOf('\n    </Object>', at));
+  };
+  /** The Class of each `<Element>` directly under the first `<P Name="prop" ...>` at `indent` in `block`. */
+  const elementClasses = (block: string, prop: string, indent: number): string[] => {
+    const open = new RegExp(`^ {${indent}}<P Name="${prop}" Dimension="[^"]*">$`, 'm').exec(block);
+    expect(open, prop).not.toBeNull();
+    const from = open!.index;
+    const to = block.indexOf('\n' + ' '.repeat(indent) + '</P>', from);
+    const span = block.slice(from, to);
+    return [...span.matchAll(new RegExp(`^ {${indent + 4}}<Element Class="([^"]+)">$`, 'gm'))].map((m) => m[1]);
+  };
+  const entry = (section: string, name: string): any => reopened.getSection(section).children.find((e: any) => e.name === name);
+
+  for (const name of ['cs', 'csErt'] as const) {
+    it(`${name}: each component is written as MATLAB's class, and reads back so`, () => {
+      const t = truth.paths[name];
+      const block = entryBlock(name + '_fromMat');
+      expect(elementClasses(block, 'Components', 16)).toEqual(t.Components.elements);
+      expect(elementClasses(block, 'Components', 24)).toEqual(t.RTWComponents.elements);
+      const components = entry('config', name + '_fromMat').serial._rawVal._elements[0]._properties.Components;
+      expect(classesOf(components)).toEqual({ arrayClass: 'Simulink.ConfigComponent', elements: t.Components.elements });
+      expect(classesOf(components._elements[t.rtwIndex - 1]._properties.Components)).toEqual({
+        arrayClass: 'Simulink.ConfigComponent',
+        elements: t.RTWComponents.elements,
+      });
+    });
+  }
+
+  it('mixed: Kids is written as a dexdata.DerivedSignal and a Simulink.Signal, and reads back as a Simulink.Signal array', () => {
+    expect(elementClasses(entryBlock('mixed_fromMat'), 'Kids', 16)).toEqual(truth.paths.mixed.Kids.elements);
+    const kids = entry('design', 'mixed_fromMat').children.find((c: any) => c.name === 'Kids');
+    expect([kids.className, kids.displayValue]).toEqual(['Simulink.Signal', '<1x2 Simulink.Signal>']);
+    expect(kids.children.map((c: any) => c.className)).toEqual(truth.paths.mixed.Kids.elements);
+  });
+});
+
+// Where no MATLAB file holds the case: busArray.mat's object table re-pointed, one word at a time.
+// Its bus(2).Elements_internal is two Simulink.BusElements, objects 4 and 5; bus(3)'s is three,
+// objects 7 to 9.
+describe('busArray.mat re-pointed: an object array property of two classes', () => {
+  // The blob offset of busArray.mat's metadata table (mcosParser.test.ts asserts it there too).
+  const META = 304;
+  const { raw, vars } = blobParts('mcos/busArray.mat');
+  const u32 = (b: Uint8Array, at: number): number => new DataView(b.buffer, b.byteOffset, b.byteLength).getUint32(at, true);
+  const header = Array.from({ length: 10 }, (_, i) => u32(raw, META + i * 4));
+  const classRow = (k: number): number => META + header[2] + k * 16;
+  const objectRow = (k: number): number => META + header[4] + k * 24;
+  const patched = (words: [number, number][]): Uint8Array => {
+    const copy = raw.slice();
+    const view = new DataView(copy.buffer, copy.byteOffset, copy.byteLength);
+    for (const [at, value] of words) view.setUint32(at, value, true);
+    return copy;
+  };
+  const elementsOf = (blob: Uint8Array, bus: number): any => (decodeMcosBlob(blob, vars).get('buses')!.elements[bus] as any).Elements_internal;
+
+  it('the tables are where, and what, these cases assume', () => {
+    // Class rows 1 and 2 are Simulink.BusElement and Simulink.Bus, and objects 4 and 5 are
+    // bus(2)'s elements, of class row 1.
+    const { raw: r } = blobParts('mcos/busArray.mat');
+    expect(Array.from({ length: 9 }, (_, k) => u32(r, objectRow(k + 1)))).toEqual([2, 1, 2, 1, 1, 2, 1, 1, 1]);
+    const plain = elementsOf(raw, 1);
+    expect(classesOf(plain)).toEqual({ arrayClass: 'Simulink.BusElement', elements: ['Simulink.BusElement', 'Simulink.BusElement'] });
+    expect(plain._elements.map((e: any) => '_object_class' in e)).toEqual([false, false]);
+    expect(classesOf(elementsOf(patched([[objectRow(5), 2]]), 2))).toEqual(classesOf(elementsOf(raw, 2)));
+  });
+
+  it('a Simulink.BusElement beside a Simulink.Bus keeps the first\'s class for the array, and the second its own', () => {
+    // Two MathWorks classes: no base can be derived, so the array is the first element's class.
+    const ei = elementsOf(patched([[objectRow(5), 2]]), 1);
+    expect(ei._array_class).toBe('Simulink.BusElement');
+    expect(ei._elements.map((e: any) => e._object_class)).toEqual([undefined, 'Simulink.Bus']);
+    // Each is still its own object.
+    expect(ei._elements.map((e: any) => e._properties.Name)).toEqual(elementsOf(raw, 1)._elements.map((e: any) => e._properties.Name));
+  });
+
+  it('a user\'s class beside the one MathWorks class is an array of the MathWorks class', () => {
+    // Class row 1's package word set to the empty string: its objects are of a class `BusElement`
+    // of no package, a user's. Object 5 is re-pointed at Simulink.Bus.
+    const blob = patched([[classRow(1), 0], [objectRow(5), 2]]);
+    const ei = elementsOf(blob, 1);
+    expect(ei._array_class).toBe('Simulink.Bus');
+    expect(ei._elements.map((e: any) => e._object_class)).toEqual(['BusElement', undefined]);
+    // bus(3)'s three, all of the user's class, are an array of it, with no element marked.
+    const three = elementsOf(blob, 2);
+    expect(three._array_class).toBe('BusElement');
+    expect(three._elements.map((e: any) => '_object_class' in e)).toEqual([false, false, false]);
+  });
+
+  it('a later element whose object names no class is one of the first element\'s class, as in a binary dictionary', () => {
+    // bus(3): object 7 of the user's class, object 8 re-pointed at Simulink.Bus, and object 9
+    // at a class row past the table. The binary reader reads a classless later <Element> as one
+    // of the first element's class (objectArrayElementClass.test.ts), which names the array
+    // here as it does there: the user's class twice beside the one MathWorks class.
+    const blob = patched([[classRow(1), 0], [objectRow(8), 2], [objectRow(9), 99]]);
+    const ei = elementsOf(blob, 2);
+    expect(ei._array_class).toBe('Simulink.Bus');
+    expect(ei._elements.map((e: any) => e._object_class)).toEqual(['BusElement', undefined, 'BusElement']);
+    // Its own properties are still read.
+    expect(ei._elements[2]._properties.Name).toBe(elementsOf(raw, 2)._elements[2]._properties.Name);
+  });
+});
+
+// A config set's Components is a Simulink.ConfigComponent array whatever components it holds:
+// its place names its class (componentsBaseOf), and the shared element rule (arrayClassOf) is
+// not asked. On configset.mat as MATLAB wrote it the two agree, because every component there
+// is one CONFIG_COMPONENTS lists; a binary dictionary of the corpus holds components it does
+// not list (a CoderTarget.SettingsController, an SSC.SimscapeCC), whose array the shared rule
+// names after its first element. configset.mat's class table re-pointed, one word at a time,
+// to hold such a component, in a config set's Components and in its RTWCC's.
+describe('configset.mat re-pointed: a Components array the shared element rule would name otherwise', () => {
+  // The blob offset of configset.mat's metadata table, which is busArray.mat's too.
+  const META = 304;
+  const { raw, vars } = blobParts('mcos/configset.mat');
+  const u32 = (b: Uint8Array, at: number): number => new DataView(b.buffer, b.byteOffset, b.byteLength).getUint32(at, true);
+  const header = Array.from({ length: 10 }, (_, i) => u32(raw, META + i * 4));
+  const classRow = (k: number): number => META + header[2] + k * 16;
+  const objectRow = (k: number): number => META + header[4] + k * 24;
+  const patched = (words: [number, number][]): Uint8Array => {
+    const copy = raw.slice();
+    const view = new DataView(copy.buffer, copy.byteOffset, copy.byteLength);
+    for (const [at, value] of words) view.setUint32(at, value, true);
+    return copy;
+  };
+  // Class row 12 is SlCovCC.ConfigComp, the last component of both config sets (objects 12 and
+  // 24). Its package word set to the empty string makes it `ConfigComp`, a class of no package:
+  // one CONFIG_COMPONENTS does not list, and one the shared rule counts as not MathWorks', as it
+  // counts a CoderTarget or an SSC class (objectArrayClass.ts isMathWorksClass).
+  const UNLISTED = [classRow(12), 0] as [number, number];
+  // Object 11 is cs's Simulink.GRTTargetCC, the second of its RTWCC's two components.
+  const RTW_TARGET_UNLISTED = [objectRow(11), 12] as [number, number];
+  const decoded = decodeMcosBlob(patched([UNLISTED, RTW_TARGET_UNLISTED]), vars);
+  // Each config set's components, as MATLAB wrote them but the last, now `ConfigComp`.
+  const repointed = [...truth.paths.cs.Components.elements.slice(0, -1), 'ConfigComp'];
+
+  it('the tables are where, and what, these cases assume, and the shared rule names these arrays otherwise', () => {
+    const strings = new TextDecoder().decode(raw.slice(META + 40, META + header[2])).split('\0');
+    const nameOf = (row: number): string => [strings[u32(raw, row) - 1], strings[u32(raw, row + 4) - 1]].join('.');
+    expect([nameOf(classRow(12)), nameOf(classRow(9))]).toEqual(['SlCovCC.ConfigComp', 'Simulink.GRTTargetCC']);
+    expect([12, 24, 11].map((k) => u32(raw, objectRow(k)))).toEqual([12, 12, 9]);
+    // Unpatched, both readings agree: MATLAB's components, each listed.
+    expect(decodeMcosBlob(raw, vars).get('cs')!.properties.Components).toMatchObject({ _array_class: 'Simulink.ConfigComponent' });
+    // Patched, the shared rule alone would name the config set's Components after its first
+    // component (no derivable base among eight MathWorks classes and one other), and the
+    // RTWCC's after its one MathWorks class beside one that is not.
+    expect(truth.paths.csErt.Components.elements).toEqual(truth.paths.cs.Components.elements);
+    expect(arrayClassOf(repointed)).toBe('Simulink.SolverCC');
+    expect(arrayClassOf(['Simulink.CodeAppCC', 'ConfigComp'])).toBe('Simulink.CodeAppCC');
+  });
+
+  it('a config set\'s Components holding an unlisted component is still a Simulink.ConfigComponent array, each element its own class', () => {
+    for (const name of ['cs', 'csErt'] as const) {
+      const components: any = decoded.get(name)!.properties.Components;
+      expect(components._array_class, name).toBe('Simulink.ConfigComponent');
+      expect(components._elements.map((e: any) => e._object_class), name).toEqual(repointed);
+    }
+  });
+
+  it('an RTWCC\'s Components holding an unlisted component is still a Simulink.ConfigComponent array', () => {
+    const rtw = (decoded.get('cs')!.properties.Components as any)._elements[truth.paths.cs.rtwIndex - 1];
+    expect(rtw._object_class).toBe('Simulink.RTWCC');
+    const inner = rtw._properties.Components;
+    expect(inner._array_class).toBe('Simulink.ConfigComponent');
+    expect(inner._elements.map((e: any) => e._object_class)).toEqual(['Simulink.CodeAppCC', 'ConfigComp']);
+    // csErt's RTWCC was not re-pointed, and reads as MATLAB wrote it.
+    const ert = (decoded.get('csErt')!.properties.Components as any)._elements[truth.paths.csErt.rtwIndex - 1];
+    expect(ert._properties.Components._elements.map((e: any) => e._object_class)).toEqual(truth.paths.csErt.RTWComponents.elements);
+  });
+
+  it('control: the same classes in a place that names none are read by the shared rule', () => {
+    // mixed's Kids, a property of an NdHolder, re-pointed at the two classes the RTWCC's
+    // Components holds above: the shared rule, so the one MathWorks class.
+    const kidsIds = [26, 30];
+    expect(kidsIds.map((k) => u32(raw, objectRow(k)))).toEqual([18, 19]);
+    const blob = patched([UNLISTED, [objectRow(26), 8], [objectRow(30), 12]]);
+    const kids: any = decodeMcosBlob(blob, vars).get('mixed')!.properties.Kids;
+    expect(kids._array_class).toBe('Simulink.CodeAppCC');
+    expect(kids._elements.map((e: any) => e._object_class)).toEqual([undefined, 'ConfigComp']);
+  });
+});
+
+// Controls: what shares one class reads as it did.
+describe('an object array property of one class, and an enumeration value, read as they did', () => {
+  it('busArray.mat\'s Elements_internal and ndNested.mat\'s Kids carry no element class', () => {
+    const { raw, vars } = blobParts('mcos/busArray.mat');
+    for (const bus of decodeMcosBlob(raw, vars).get('buses')!.elements.slice(1) as any[]) {
+      expect(bus.Elements_internal._array_class).toBe('Simulink.BusElement');
+      expect(bus.Elements_internal._elements.every((e: any) => Object.keys(e).join() === '_properties')).toBe(true);
+    }
+    const nd = blobParts('mcos/ndNested.mat');
+    const kids: any = decodeMcosBlob(nd.raw, nd.vars).get('h')!.properties.Kids;
+    expect(kids._array_class).toBe('Simulink.Parameter');
+    expect(kids._elements).toHaveLength(12);
+    expect(kids._elements.every((e: any) => Object.keys(e).join() === '_properties')).toBe(true);
+  });
+
+  it('display/dispcat_opaque.mat\'s enumeration Value is its class, with no element class', () => {
+    const { raw, vars } = blobParts('display/dispcat_opaque.mat');
+    const values = [...decodeMcosBlob(raw, vars).values()]
+      .map((d) => d.properties.Value as any)
+      .filter((v) => v && Array.isArray(v._elements) && v._elements.some((e: any) => e._enumeration));
+    expect(values.length).toBeGreaterThan(0);
+    for (const v of values) {
+      expect(v._array_class).toBe('DispColor');
+      expect(v._elements.every((e: any) => !('_object_class' in e))).toBe(true);
+    }
+  });
+});
diff --git a/test/mcosParser.test.ts b/test/mcosParser.test.ts
index 747c88d4..ea21ed29 100644
--- a/test/mcosParser.test.ts
+++ b/test/mcosParser.test.ts
@@ -690,9 +690,11 @@ describe('decodeMcosBlob — logical-flagged heap cells resolve as booleans', ()
     expect(typeof bpProps.TunableSizeValue).toBe('boolean');
   });
 
-  it('array of logicals resolves as boolean[], not number[] (Dimensions)', () => {
+  it('array of logicals resolves as a typed logical row, not number[] (Dimensions)', () => {
     // cells[4] in Bp.mat is a double array [0, 0] used as Dimensions. Setting
-    // isLogical should resolve it to [false, false].
+    // isLogical should resolve it to a logical [false false]: the typed literal a binary
+    // dictionary gives a logical row (C-033), since a bare list of booleans is read by the
+    // node layer as a DOUBLE row.
     const { raw, vars } = blobParts('Bp.mat');
     const patched = raw.slice();
     // Flags byte for cells[4] is at raw offset 1481 (class = 0x06 at 1480).
@@ -702,8 +704,9 @@ describe('decodeMcosBlob — logical-flagged heap cells resolve as booleans', ()
     const bp = decodeMcosBlob(patched, vars).get('Bp')!;
     const breakpoints = bp.properties.Breakpoints as Record<string, unknown>;
     const bpProps = (breakpoints._properties as Record<string, unknown>);
-    // Before fix: [0, 0] (number[]). After fix: [false, false] (boolean[]).
-    expect(bpProps.Dimensions).toEqual([false, false]);
+    // Before the first fix: [0, 0] (number[]). Then [false, false] (boolean[]), which
+    // showed as a double row. Now the logical row.
+    expect(bpProps.Dimensions).toEqual({ _type: 'logical', _value: '[0, 0]' });
   });
 });
 
diff --git a/test/objectArrayClass.test.ts b/test/objectArrayClass.test.ts
new file mode 100644
index 00000000..14b20f66
--- /dev/null
+++ b/test/objectArrayClass.test.ts
@@ -0,0 +1,78 @@
+// Copyright 2026 The MathWorks, Inc.
+//
+// The one rule both readers that hold no class for a mixed object array name it by
+// (src/datamodel/parser/objectArrayClass.ts): a binary dictionary (BinarySlddParser) and a .mat
+// or a model workspace's MCOS blob (McosParser). The rule was the binary reader's own, private
+// to it, so the MCOS reader named every such array after its first element. These are the binary
+// reader's assertions (objectArrayElementClass.test.ts) asked of the rule itself; the readers'
+// tests ask each reader.
+import { describe, it, expect } from 'vitest';
+import { arrayClassOf, componentsBaseOf, heterogeneousBaseOf } from '../src/datamodel/parser/objectArrayClass.js';
+
+// Every class MATLAB's text format lists under a Simulink.ConfigComponent array.
+const COMPONENTS = [
+  'Simulink.SolverCC', 'Simulink.DataIOCC', 'Simulink.OptimizationCC', 'Simulink.DebuggingCC', 'Simulink.HardwareCC',
+  'Simulink.ModelReferenceCC', 'Simulink.SFSimCC', 'Simulink.RTWCC', 'Simulink.CodeAppCC', 'Simulink.GRTTargetCC',
+  'Simulink.ERTTargetCC', 'Simulink.STFCustomTargetCC', 'SlCovCC.ConfigComp', 'Sldv.ConfigComp', 'hdlcoderui.hdlcc',
+];
+
+describe('arrayClassOf: the class of an object array, from its elements\' classes', () => {
+  it('is the class every element shares', () => {
+    expect(arrayClassOf(['Simulink.Signal', 'Simulink.Signal'])).toBe('Simulink.Signal');
+    expect(arrayClassOf(['My.A', 'My.A', 'My.A'])).toBe('My.A');
+    // One class alone, and a config component alone, are the class they are.
+    expect(arrayClassOf(['Simulink.SolverCC'])).toBe('Simulink.SolverCC');
+    expect(arrayClassOf(['Simulink.SolverCC', 'Simulink.SolverCC'])).toBe('Simulink.SolverCC');
+  });
+
+  it('is Simulink.ConfigComponent for a mix of the config components MATLAB lists under one', () => {
+    expect(arrayClassOf(COMPONENTS)).toBe('Simulink.ConfigComponent');
+    expect(arrayClassOf(['Simulink.CodeAppCC', 'Simulink.GRTTargetCC'])).toBe('Simulink.ConfigComponent');
+    expect(arrayClassOf(['Simulink.CodeAppCC', 'Simulink.ERTTargetCC'])).toBe('Simulink.ConfigComponent');
+    expect(arrayClassOf(['Simulink.ConfigComponent', 'Simulink.SolverCC'])).toBe('Simulink.ConfigComponent');
+  });
+
+  it('is the one MathWorks class beside classes that are not MathWorks\', wherever it stands', () => {
+    expect(arrayClassOf(['dexdata.DerivedSignal', 'Simulink.Signal'])).toBe('Simulink.Signal');
+    expect(arrayClassOf(['Simulink.Signal', 'dexdata.DerivedSignal'])).toBe('Simulink.Signal');
+    expect(arrayClassOf(['My.A', 'mpt.Signal', 'My.B'])).toBe('mpt.Signal');
+    // A package of no known MathWorks class counts as a user's, MathWorks' or not.
+    expect(arrayClassOf(['CoderTarget.SettingsController', 'Simulink.SolverCC'])).toBe('Simulink.SolverCC');
+    // The package is the text before the first dot: a name that only begins with one is not in it.
+    expect(arrayClassOf(['SimulinkX.A', 'Simulink.Signal'])).toBe('Simulink.Signal');
+    expect(arrayClassOf(['SimulinkX.A', 'My.B'])).toBe('SimulinkX.A');
+  });
+
+  it('is the first element\'s class where no base can be derived', () => {
+    // Two MathWorks classes beside a user's.
+    expect(arrayClassOf(['MySubclasses.MySlSignal', 'Simulink.Signal', 'Simulink.Parameter'])).toBe('MySubclasses.MySlSignal');
+    // Two MathWorks classes alone, neither a listed config component.
+    expect(arrayClassOf(['Simulink.BusElement', 'Simulink.Bus'])).toBe('Simulink.BusElement');
+    // No MathWorks class at all.
+    expect(arrayClassOf(['My.A', 'My.B'])).toBe('My.A');
+    expect(arrayClassOf(['simmechanics.A', 'simmechanics.B'])).toBe('simmechanics.A');
+    // A class with no package is a user's.
+    expect(arrayClassOf(['BusElement', 'My.B'])).toBe('BusElement');
+  });
+});
+
+describe('heterogeneousBaseOf: the base a mix names, or none', () => {
+  it('names Simulink.ConfigComponent, the one MathWorks class, or nothing', () => {
+    expect(heterogeneousBaseOf(['Simulink.SolverCC', 'hdlcoderui.hdlcc'])).toBe('Simulink.ConfigComponent');
+    expect(heterogeneousBaseOf(['BusElement', 'Simulink.Bus'])).toBe('Simulink.Bus');
+    expect(heterogeneousBaseOf(['My.A', 'My.B'])).toBeUndefined();
+    expect(heterogeneousBaseOf(['Simulink.Signal', 'Simulink.Parameter', 'My.A'])).toBeUndefined();
+  });
+});
+
+describe('componentsBaseOf: the class a property\'s place names for an object array there', () => {
+  it('is Simulink.ConfigComponent for a config set\'s Components and an RTWCC\'s, and nothing else', () => {
+    expect(componentsBaseOf('Simulink.ConfigSet', 'Components')).toBe('Simulink.ConfigComponent');
+    expect(componentsBaseOf('Simulink.RTWCC', 'Components')).toBe('Simulink.ConfigComponent');
+    expect(componentsBaseOf('My.Holder', 'Components')).toBeUndefined();
+    expect(componentsBaseOf('Simulink.SolverCC', 'Components')).toBeUndefined();
+    expect(componentsBaseOf('Simulink.ConfigSet', 'Elements')).toBeUndefined();
+    expect(componentsBaseOf('Simulink.ConfigSet', undefined)).toBeUndefined();
+    expect(componentsBaseOf(undefined, 'Components')).toBeUndefined();
+  });
+});
diff --git a/test/parity/matlab/DESIGN.md b/test/parity/matlab/DESIGN.md
index e75e14a5..fb8fdfc8 100644
--- a/test/parity/matlab/DESIGN.md
+++ b/test/parity/matlab/DESIGN.md
@@ -2450,6 +2450,25 @@ Two findings from that hardening, measured and deliberately NOT acted on:
   inside a DICTIONARY cell was never this limitation — it was defect 52, and citing this
   bullet for it is how that defect came to be pinned in `cellElementShape.test.ts` as
   expected behaviour instead of being fixed.
+- **An object array of mixed classes, held by an MCOS object's property, read under its
+  first element's class — now closed (F1-47).** `McosParser.resolveValue` named such an
+  array after its first element and gave no element a class of its own. So a config set's
+  `Components` in a `.mat` read as a `Simulink.SolverCC` array, and a copy of the config set
+  pasted into a dictionary wrote all nine components as `Simulink.SolverCC`. A
+  `dexdata.DerivedSignal` beside a `Simulink.Signal` read as two `DerivedSignal`s. The array
+  is now named, and each element of another class marked `_object_class`, as the binary
+  dictionary reader does it, by one rule both readers import (`objectArrayClass.ts`).
+  MATLAB's own `class()` of each array, read back out of `test/fixtures/mcos/configset.mat`
+  (`make_configset_fixture.m`, R2027a), is the class this names:
+  `Simulink.ConfigComponent` for both config sets' `Components` and for their RTWCC's, and
+  `Simulink.Signal` for the subclass beside its base. Pinned in
+  `mcosMixedObjectArray.test.ts`, and the rule itself in `objectArrayClass.test.ts`.
+
+  **Not closed: the same array as a top-level variable.** A `.mat` variable that is itself
+  a mixed-class object array is refused whole, by the code: `decodeMcosVariables` requires
+  every element's object to be of the declared class, and reports `its objects are of class
+  …, not …`. This was not measured on a MATLAB-written file, and no such variable is in the
+  corpus or the fixtures, so it is recorded rather than fixed.
 - **A `missing` has no dictionary spelling.** If a decoded string array carrying a
   `missing` were copied into a `.sldd`, the element would serialize as JSON `null`; what
   MATLAB reads that back as was not measured. Not reachable today (a `.mat` string is
@@ -2462,17 +2481,9 @@ Two findings from that hardening, measured and deliberately NOT acted on:
   of the four channels carry no property data for it at all — defect 40. Recorded from
   the raw bags, because MATLAB does not call `Choices` a property and parity therefore
   passes.
-- **A REAL array inside an MCOS object is classed double.** `McosParser.buildMatrixValue`
-  writes `_type: 'double'` and a row goes through as a bare list, so `single([0.1 0.3])`
-  as a Parameter's Value shows Data Type double on its Value row in a `.mat`, where both
-  dictionaries say single. Defect 57 gives a COMPLEX value its class (`_class`); the real
-  arms predate it and are left as they were.
-- **A single shows the double it widens to, out of a `.mat`.** MatParser reads a float32
-  into a JavaScript number, and every `.mat` arm prints that: complex(single(0.1), 0.2)
-  is `0.10000000149011612+0.20000000298023224i` in a plain `.mat` variable, in an MCOS
-  object and in a text dictionary (whose stream is read by the same arm), where a binary
-  dictionary shows MATLAB's own text, `0.1+0.2i`, and MATLAB's display `0.1000 + 0.2000i`.
-  The shortest spelling of the float32 would change every one of those venues at once.
+- **An EMPTY numeric or logical array of a class other than double, in an MCOS object, reads
+  as a double 0x0** (left out of C-033): `McosParser.resolveValue` hands it over as `[]`, but
+  a logical of rank 3 or more keeps its typed `Matrix(2,0,2)` (`mcosEmptyLogical.test.ts`).
 - **A complex EMPTY in a binary dictionary shows as an empty quoted char.** MATLAB writes
   `<P Class="double" IsComplex="1" Dimension="1*0"/>`; the empty body fails parseCdata's
   text test and its stream decode, so the value is `''` where the same Parameter in a
diff --git a/test/typedMcosFixtures.test.ts b/test/typedMcosFixtures.test.ts
new file mode 100644
index 00000000..f6954ba3
--- /dev/null
+++ b/test/typedMcosFixtures.test.ts
@@ -0,0 +1,270 @@
+// Copyright 2026 The MathWorks, Inc.
+//
+// C-033: a real number of a class other than double, inside an MCOS object, against
+// MATLAB's own answers, on the fixtures test/fixtures/mcos/make_typed_fixtures.m writes
+// (R2027a): typed_objects.mat; typed_ws.slx, whose MODEL WORKSPACE holds the same values;
+// and typed_mcos.sldd (text) and typed_mcos_binary.sldd (compressed-binary), dictionaries
+// holding them entry for variable. Every name is in all four.
+//
+// A Simulink.Parameter whose Value is int32([100 200 300 400]) showed class double in the
+// .mat and the workspace, where both dictionaries showed int32; a logical row showed
+// double; and single(3.3) showed 3.299999952316284 where both dictionaries showed 3.3. The
+// MCOS decoder handed a non-double number over bare, which the node layer reads as a
+// double, and MatParser read a single as the double it widens to. Each venue now presents
+// each value as every other does, of MATLAB's class and size.
+//
+// The digits a single shows are MATLAB's: a dictionary holds MATLAB's own text for it, so
+// sSingleSweep, 4,082 float32 bit patterns from the smallest subnormal to realmax, is
+// MATLAB's rule for that text, element by element, and a single read out of MAT bytes is
+// held to it. The sweep is in every venue but the binary dictionary (make_typed_fixtures.m's
+// names_in gives the reason), whose text for the same singles was measured to be the text
+// dictionary's.
+import { describe, it, expect } from 'vitest';
+import { readFileSync } from 'node:fs';
+import { fileURLToPath } from 'node:url';
+import { unzipSync } from 'fflate';
+import { createSession } from '../src/index.js';
+import { ingest } from '../src/core/ingest.js';
+import { decodeMcosBlob } from '../src/datamodel/parser/McosParser.js';
+import { parseMat } from '../src/datamodel/parser/MatParser.js';
+import '../src/datamodel/node/data/NodeClassMap.js';
+import { presentation } from './tools/nodePresentation.js';
+
+const fixturePath = (name: string): string => fileURLToPath(new URL(`./fixtures/${name}`, import.meta.url));
+const bytes = (name: string): Uint8Array => new Uint8Array(readFileSync(fixturePath(name)));
+const buffer = (u8: Uint8Array): ArrayBuffer => u8.buffer.slice(u8.byteOffset, u8.byteOffset + u8.byteLength) as ArrayBuffer;
+
+interface ValueTruth {
+  class: string;
+  size: number[];
+  numel?: number;
+  mat2str?: string;
+  elements?: string[];
+}
+interface Venue {
+  file: string;
+  paths: Record<string, { class: string; value: ValueTruth }>;
+}
+const truth: { release: string; names: string[]; mat: Venue; slx: Venue; text: Venue; binary: Venue } = JSON.parse(
+  readFileSync(fixturePath('mcos/typed_fixtures.truth.json'), 'utf8'),
+);
+
+/** A venue's variables: the node MATLAB's top-level names sit under. */
+function variablesOf(file: string, session = createSession()): any {
+  const root: any = ingest(session, buffer(bytes(`mcos/${file}`)), { filename: file });
+  if (file.endsWith('.slx')) return root.getSection('workspace');
+  if (file.endsWith('.sldd')) return root.getSection('design');
+  return root;
+}
+const VENUES = (['mat', 'slx', 'text', 'binary'] as const).map((key) => ({ key, file: truth[key].file, variables: variablesOf(truth[key].file) }));
+const named = (variables: any, name: string): any => variables.children.find((c: any) => c.name === name);
+
+/** The node that holds a value's numbers: a Parameter's value node, or the variable itself. */
+function valueNodeOf(node: any): any | null {
+  if (!/Parameter$/.test(node.className)) return node;
+  return node._valueNode ?? node.children.find((c: any) => c.name === 'Value') ?? null;
+}
+
+/** What a host is shown for a value: its own cell, class and size, and every element's. */
+function shownOf(node: any): unknown {
+  const v = valueNodeOf(node);
+  return {
+    className: node.className,
+    displayValue: node.displayValue,
+    row: node.toRow().Value,
+    value: v && {
+      className: v.className,
+      dims: v.dims,
+      displayValue: v.displayValue,
+      elements: v.children.map((c: any) => [c.toRow().Name.label.replace(/^[^(]*/, ''), c.className, c.displayValue]),
+    },
+  };
+}
+
+// A double or a logical SCALAR in a Parameter is shown inline, with no node of its own
+// to carry a class (parameterNode.test.ts): there the class is graded on the dictionaries'
+// side alone, by the presentation being theirs.
+const INLINE = new Set(['pDouble', 'pLogical']);
+
+// The two values of more than 64 elements, whose truth is their size (make_typed_fixtures.m).
+const LONG = new Set(['sSingleSweep']);
+
+// The names a venue holds, by its truth: every one, but for the sweep in the binary dictionary.
+const holds = (key: (typeof VENUES)[number]['key'], name: string): boolean => name in truth[key].paths;
+
+describe('typed MCOS fixtures: every venue holds every name', () => {
+  it('as MATLAB read it back', () => {
+    expect(truth.release).toBe('2027a');
+    for (const { key, variables } of VENUES) {
+      const expected = truth.names.filter((n) => !(key === 'binary' && LONG.has(n)));
+      expect(Object.keys(truth[key].paths).sort(), key).toEqual([...expected].sort());
+      for (const name of expected) {
+        expect(named(variables, name), `${key} ${name}`).toBeDefined();
+      }
+    }
+  });
+});
+
+describe('typed MCOS fixtures: each value presents alike in every venue, as MATLAB\'s class and size', () => {
+  for (const name of truth.names) {
+    it(name, () => {
+      const t = truth.mat.paths[name];
+      const text = shownOf(named(VENUES[2].variables, name));
+      // The .mat, the workspace and the binary dictionary, each as the text dictionary.
+      for (const { key, variables } of VENUES.filter((v) => holds(v.key, name))) {
+        expect(shownOf(named(variables, name)), `${key} ${name}`).toEqual(text);
+      }
+      const node = named(VENUES[0].variables, name);
+      expect(node.className, name).toBe(t.class);
+      if (INLINE.has(name)) {
+        expect(valueNodeOf(node), name).toBeNull();
+        return;
+      }
+      const v = valueNodeOf(node);
+      expect(v.className, name).toBe(t.value.class);
+      expect(v.dims, name).toEqual(t.value.size);
+    });
+  }
+});
+
+/** A float32's value from MATLAB's num2hex of it. */
+const fromHex = (hex: string): number => {
+  const view = new DataView(new ArrayBuffer(hex.length / 2));
+  for (let i = 0; i < hex.length; i += 2) view.setUint8(i / 2, parseInt(hex.slice(i, i + 2), 16));
+  return hex.length === 8 ? view.getFloat32(0) : view.getFloat64(0);
+};
+
+// An element row's label names its subscripts, and the truth is column-major.
+function columnMajorIndex(label: string, size: number[]): number {
+  const m = /\(([\d,]+)\)$/.exec(label);
+  if (!m) return 0;
+  const subs = m[1].split(',').map(Number);
+  if (subs.length === 1) return subs[0] - 1;
+  let k = 0;
+  let stride = 1;
+  subs.forEach((s, d) => {
+    k += (s - 1) * stride;
+    stride *= size[d];
+  });
+  return k;
+}
+
+describe('typed MCOS fixtures: the .mat\'s numbers are MATLAB\'s', () => {
+  for (const name of truth.names.filter((n) => !INLINE.has(n) && !LONG.has(n))) {
+    it(name, () => {
+      const t = truth.mat.paths[name].value;
+      const v = valueNodeOf(named(VENUES[0].variables, name));
+      const rows: any[] = v.children.length > 0 ? v.children : [v];
+      expect(rows, name).toHaveLength(t.elements!.length);
+      for (const row of rows) {
+        const label = row === v ? '' : row.toRow().Name.label;
+        const k = columnMajorIndex(label, t.size);
+        const matlab = t.elements![k];
+        const ours = row.displayValue;
+        if (t.class === 'single' || t.class === 'double') {
+          // The number shown is the one MATLAB stored, to the bit.
+          const bits = fromHex(matlab);
+          expect(t.class === 'single' ? Math.fround(Number(ours)) : Number(ours), `${name}${label}`).toBe(bits);
+        } else if (t.class === 'logical') {
+          expect(ours, `${name}${label}`).toBe(matlab === '1' ? 'true' : 'false');
+        } else {
+          expect(ours, `${name}${label}`).toBe(matlab);
+        }
+      }
+    });
+  }
+});
+
+describe('typed MCOS fixtures: a single shows the digits MATLAB writes for it', () => {
+  // MATLAB's own text for each element of sSingleSweep, out of each dictionary's bytes.
+  const textTokens = (): string[] => {
+    const json = JSON.parse(new TextDecoder().decode(bytes('mcos/typed_mcos.sldd')));
+    const entries: any[] = json.__MW_TEXT_PARTS__['__MW_TEXT_PART__/data/chunk0'].__MW_TEXT_content.entries;
+    const value: string = entries.find((e) => e.name === 'sSingleSweep').value._value;
+    return value.slice(value.indexOf('[') + 1, value.lastIndexOf(']')).split(',').map((s) => s.trim().replace(/F$/, ''));
+  };
+  it('the sweep is the 4,082 singles it says', () => {
+    expect(textTokens()).toHaveLength(4082);
+    expect(truth.mat.paths.sSingleSweep.value).toMatchObject({ class: 'single', size: [1, 4082] });
+  });
+
+  for (const key of ['mat', 'slx', 'text'] as const) {
+    it(`${key}: every element of the sweep shows MATLAB's digits`, () => {
+      const matlab = textTokens().map((s) => String(Number(s)));
+      const sweep = named(VENUES.find((v) => v.key === key)!.variables, 'sSingleSweep');
+      expect(sweep.children).toHaveLength(matlab.length);
+      const ours: string[] = sweep.children.map((c: any) => c.displayValue);
+      const differ = ours.map((o, k) => [k, o, matlab[k]]).filter(([, o, m]) => o !== m);
+      expect(differ).toEqual([]);
+    });
+  }
+
+  it('an exact tie at nine digits goes to the even one, in every venue', () => {
+    for (const { key, variables } of VENUES) {
+      expect(named(variables, 'sSingleTies').displayValue, key).toBe('[1000000.12 1000000.38 1000000.62 -1000000.12 2097151.88]');
+    }
+  });
+});
+
+describe('typed MCOS fixtures: a Parameter out of the .mat goes into a dictionary as MATLAB\'s own entry is', () => {
+  const PARAMS = truth.names.filter((n) => truth.mat.paths[n].class === 'Simulink.Parameter');
+
+  /** The Value `<P>` of an entry in a binary dictionary's chunk XML. */
+  const valueTag = (xml: string): string => /<P Name="Value"[^>]*>[^<]*<\/P>/.exec(xml)![0];
+  const entryBlock = (xml: string, name: string): string => {
+    const at = xml.indexOf('<P Name="Name" Class="char">' + name + '</P>');
+    return xml.slice(xml.lastIndexOf('<Object', at), xml.indexOf('</Object>', at));
+  };
+
+  for (const target of ['typed_mcos.sldd', 'typed_mcos_binary.sldd']) {
+    describe(target, () => {
+      const session = createSession();
+      const mat = variablesOf('typed_objects.mat', session);
+      const root: any = ingest(session, buffer(bytes(`mcos/${target}`)), { filename: target });
+      const design = root.getSection('design');
+      const meta = named(design, 'pInt8').metadata;
+      let seq = 0;
+      for (const name of PARAMS) {
+        const payload: any = JSON.parse(JSON.stringify(named(mat, name).serialize()));
+        payload.name = name + '_fromMat';
+        payload.metadata = { ...meta, uuid: `00000000-0000-4000-8000-${String(++seq).padStart(12, '0')}` };
+        design.parseEntry(payload);
+      }
+      const saved: any = session.serializeSource(root.name);
+      const reopened: any = ingest(createSession(), buffer(saved.bytes ?? new TextEncoder().encode(saved.text)), { filename: target }).getSection('design');
+
+      for (const name of PARAMS) {
+        it(name, () => {
+          const pasted = named(reopened, name + '_fromMat');
+          const own = named(reopened, name);
+          expect(presentation(pasted, pasted.displayName)).toEqual(presentation(own, own.displayName));
+          if (target.endsWith('binary.sldd')) {
+            // The Value MATLAB wrote for the same value: its class, its shape, its text.
+            const xml = new TextDecoder().decode(unzipSync(saved.bytes)['data/chunk0.xml']);
+            const matlab = new TextDecoder().decode(unzipSync(bytes(`mcos/${target}`))['data/chunk0.xml']);
+            expect(valueTag(entryBlock(xml, name + '_fromMat')), name).toBe(valueTag(entryBlock(matlab, name)));
+          }
+        });
+      }
+    });
+  }
+});
+
+describe('what reads a typed number back out of an MCOS property', () => {
+  it('an int32 enumeration keeps the number each enumeral stands for', () => {
+    // display/dispcat_opaque.mat (R2027a) holds a Simulink.Parameter whose Value is
+    // DispColor.Green, DispColor being an Simulink.IntEnumType. The enumeral's number is its
+    // object's `int32.Data`, an int32 the decoder now spells typed; the enumeration reader
+    // takes its number from that spelling as it took it from the bare number.
+    const buf = bytes('display/dispcat_opaque.mat');
+    const { variables } = parseMat(buffer(buf));
+    const anon = variables.find((v) => (v as unknown as { _anonymous?: boolean })._anonymous)!;
+    const opaque = variables.filter((v) => v.isOpaque && v.name);
+    const decoded = decodeMcosBlob(anon._rawBytes!, opaque.map((v) => ({ name: v.name, className: v.className, rawBytes: v._rawBytes })));
+    const enumerals = [...decoded.values()].flatMap((d) => {
+      const value = d.properties.Value as { _elements?: { _enumeration?: unknown }[] } | undefined;
+      return (value?._elements ?? []).map((e) => e._enumeration).filter(Boolean);
+    });
+    expect(enumerals).toContainEqual({ name: 'Green', type: 'int32', value: '2' });
+  });
+});