diff --git a/EmbeddingInversion/.gitignore b/EmbeddingInversion/.gitignore
new file mode 100644
index 0000000..dc06c9a
--- /dev/null
+++ b/EmbeddingInversion/.gitignore
@@ -0,0 +1,7 @@
+# Converted model weights + goldens are generated offline, not checked in (~1.1 GB+).
+models/
+
+# Gradle
+.gradle/
+build/
+**/build/
diff --git a/EmbeddingInversion/README.md b/EmbeddingInversion/README.md
new file mode 100644
index 0000000..b174d4f
--- /dev/null
+++ b/EmbeddingInversion/README.md
@@ -0,0 +1,128 @@
+# EmbeddingInversion — vec2text in the SKaiNET ecosystem
+
+Decode sentence embeddings **back into text**, in pure Kotlin. This is a Kotlin port of
+[vec2text](https://github.com/vec2text/vec2text) (Morris et al.) inference, running on
+[SKaiNET](https://github.com/SKaiNET) — the KotlinDL-successor multiplatform DL engine.
+
+Given only the 768-d embedding vector of a sentence (from `sentence-transformers/gtr-t5-base`),
+the models reconstruct an approximation of the original text:
+
+```
+original:      jack morris is a phd student at cornell tech in new york city
+step 0 (invert):  cos 0.71  "jack morris is a neophyte at COL Tech ... New York City University in"
+step 3 (correct): cos 0.83  "jack morris is a ph.D. tech at neorthell alumnus at Cornell University in"
+```
+
+It is a striking privacy demonstration: **embeddings are not anonymous** — text can be
+recovered from them.
+
+## How it works
+
+Three models (all `t5-base` scale), from the `jxm/gtr__nq__32` checkpoints:
+
+1. **GTR embedder** — `sentence-transformers/gtr-t5-base` T5 encoder + mean pooling → target embedding.
+2. **Inversion model** ("hypothesizer", `jxm/gtr__nq__32`) — projects the embedding to 16
+   pseudo-tokens, feeds them to a T5 encoder-decoder, greedily decodes a first guess.
+3. **Corrector** (`jxm/gtr__nq__32__correct`) — given the target, the current hypothesis and their
+   difference, generates a refined guess. Iterated; the hypothesis with the highest cosine
+   similarity to the target wins.
+
+The Kotlin models live upstream in **SKaiNET-transformers**:
+- `llm-inference:t5` — the T5 encoder-decoder runtime + GTR embedder.
+- `llm-inference:vec2text` — inversion model, corrector, and the iterative `Vec2TextInverter`.
+
+## Model weights
+
+SKaiNET loads flat **fp16 SafeTensors**. The reference vec2text checkpoints are custom
+PyTorch classes on HuggingFace, so they need a one-time offline conversion (done once with any
+Python + HuggingFace tooling — this Kotlin repo intentionally ships no conversion scripts).
+Drop the resulting files into `models/` (git-ignored, ~1.1 GB):
+
+| Output file | Source checkpoint | Keep these keys |
+|---|---|---|
+| `gtr_encoder.safetensors` | `sentence-transformers/gtr-t5-base` | `shared.weight`, `encoder.*` |
+| `inversion.safetensors` | `jxm/gtr__nq__32` | `embedding_transform.{0,3}.{weight,bias}`, `encoder_decoder.*` |
+| `corrector.safetensors` | `jxm/gtr__nq__32__correct` | `embedding_transform_{1,2,3}.{0,3}.*`, `layernorm.{weight,bias}`, `encoder_decoder.*` |
+| `tokenizer.json` | `t5-base` | (SentencePiece, shared by all models) |
+
+Conversion notes:
+- Cast float tensors to fp16 and `clone()` them — T5 ties `shared.weight` /
+  `encoder.embed_tokens.weight` / `decoder.embed_tokens.weight` / `lm_head.weight` to one
+  storage, so **keep only `shared.weight`** and drop the aliases (the Kotlin loader feeds it to
+  every tied site; SafeTensors also refuses aliased storage).
+- The `jxm/*` checkpoints are sharded `pytorch_model-0000N-of-…bin` — merge all shards via the
+  `.index.json` before filtering keys.
+- Some older corrector checkpoints share one `embedding_transform.*` MLP; remap it into the three
+  `embedding_transform_{1,2,3}.*` (mirrors `Corrector._remap_state_dict`).
+
+The parity tests (below) compare against golden tensors dumped from the reference models:
+`GtrEmbedderParityTest` needs token ids + the mean-pooled embedding from `gtr-t5-base`;
+`Vec2TextRoundTripTest` needs only the converted weights above.
+
+## Run it
+
+Put the converted weights in `models/`, then either:
+
+```bash
+# Desktop GUI (Round trip + Vector arithmetic tabs):
+./gradlew :app:run
+
+# Or the CLI:
+./gradlew :cli:run --args="jack morris is a phd student at cornell tech in new york city"
+```
+
+CLI environment knobs: `VEC2TEXT_MODELS_DIR` (default `../models` for the app, `./models` for
+the CLI), `VEC2TEXT_STEPS` (default 5), `VEC2TEXT_BEAM` (sequence beam width, default 1 = greedy),
+`VEC2TEXT_TOKEN_BEAMS` (T5 token-level beam, default = `VEC2TEXT_BEAM`). The GUI has a **Beam
+width** slider. Example:
+
+```bash
+VEC2TEXT_BEAM=3 ./gradlew :cli:run --args="jack morris is a phd student at cornell tech in new york city"
+# beam ×3 lifts cosine ~0.77 → ~0.82 vs greedy at one step (and is proportionally slower).
+```
+
+### Build setup
+
+SKaiNET core comes from **Maven Central 0.36.0** (aligned by the `sk.ainet:skainet-bom` platform).
+The inversion models `sk.ainet.transformers:skainet-transformers-inference-{t5,vec2text}` are used
+at **0.37.0** (adds beam search); until that lands on Central it's resolved from the **local Maven
+cache** (a scoped `mavenLocal`). To (re)publish it, from a `SKaiNET-transformers` checkout with
+`VERSION_NAME=0.37.0`:
+
+```bash
+./gradlew :llm-bom:publishToMavenLocal :transformer-core:publishToMavenLocal \
+          :llm-core:publishToMavenLocal :llm-inference:t5:publishToMavenLocal \
+          :llm-inference:vec2text:publishToMavenLocal -PsignAllPublications=false
+```
+
+No composite build, no source checkouts. Once transformers 0.37.0 is on Central, drop the
+`mavenLocal` repository from `cli/` and `app/` `build.gradle.kts`.
+
+> Reconstruction quality scales with correction `steps` and beam width; greedy + few steps + fp16
+> can produce rough or `<unk>`-laden output on short inputs. A decode KV-cache (much faster,
+> compounding with beam) is the remaining M5 follow-up.
+
+## Compose desktop app (`app/`)
+
+`./gradlew :app:run` opens a Compose for Desktop window with two tabs:
+
+- **Round trip** — type text → embed → 768-d embedding strip → invert; the per-step hypotheses
+  stream in with a live cosine bar as each correction completes.
+- **Vector arithmetic** — interpolate two sentence embeddings with a slider and invert the
+  blend (text you never wrote, decoded from a vector — why inversion matters for privacy).
+
+## Status
+
+| Milestone | State |
+|---|---|
+| M0 weight export + golden | ✅ done (scripts here) |
+| M1 T5 encoder + GTR embedder | ✅ verified (cosine 0.99999985 vs reference) |
+| M2 inversion (single-shot) | ✅ working end-to-end |
+| M3 corrector loop | ✅ working end-to-end |
+| M4 runnable CLI | ✅ `./gradlew :cli:run` (Maven Central 0.36.0) |
+| M4 Compose desktop app | ✅ `./gradlew :app:run` — Round trip + Vector arithmetic tabs |
+| M5 beam search | ✅ `VEC2TEXT_BEAM` / GUI slider (transformers 0.37.0) |
+| M5 decode KV-cache speedup | ⏳ follow-up |
+
+Current decoding is greedy with a no-KV-cache O(L²) loop — correct but slow on CPU. Beam search
+and a KV cache (much faster, closer reconstructions) are the main follow-ups.
diff --git a/EmbeddingInversion/app/build.gradle.kts b/EmbeddingInversion/app/build.gradle.kts
new file mode 100644
index 0000000..140d0a9
--- /dev/null
+++ b/EmbeddingInversion/app/build.gradle.kts
@@ -0,0 +1,50 @@
+import org.jetbrains.compose.desktop.application.dsl.TargetFormat
+
+plugins {
+    kotlin("jvm")
+    id("org.jetbrains.compose")
+    id("org.jetbrains.kotlin.plugin.compose")
+}
+
+repositories {
+    google()
+    mavenCentral()
+    // SKaiNET-transformers 0.37.0 (beam search) from the local Maven cache until it lands on Central.
+    mavenLocal { mavenContent { includeGroupAndSubgroups("sk.ainet") } }
+}
+
+kotlin {
+    jvmToolchain(21)
+}
+
+dependencies {
+    // SKaiNET core from Maven Central, version aligned by the published BOM (0.36.0).
+    implementation(platform("sk.ainet:skainet-bom:0.36.0"))
+    implementation("sk.ainet.core:skainet-lang-core")
+    implementation("sk.ainet.core:skainet-backend-cpu")
+    implementation("sk.ainet.core:skainet-io-core")
+    implementation("sk.ainet.core:skainet-io-safetensors")
+
+    // t5 / vec2text 0.37.0 (beam search) — from the local Maven cache until it lands on Central
+    // (publish with: SKaiNET-transformers `./gradlew publishToMavenLocal -PsignAllPublications=false`).
+    implementation("sk.ainet.transformers:skainet-transformers-inference-t5:0.37.0")
+    implementation("sk.ainet.transformers:skainet-transformers-inference-vec2text:0.37.0")
+
+    implementation("org.jetbrains.kotlinx:kotlinx-coroutines-swing:1.11.0")
+    implementation("org.jetbrains.kotlinx:kotlinx-serialization-json:1.11.0")
+
+    implementation(compose.desktop.currentOs)
+    implementation(compose.material3)
+}
+
+compose.desktop {
+    application {
+        mainClass = "sk.ainet.samples.vec2text.ui.MainKt"
+        jvmArgs += listOf("-Xmx4g")
+        nativeDistributions {
+            targetFormats(TargetFormat.Dmg, TargetFormat.Msi, TargetFormat.Deb)
+            packageName = "EmbeddingInversion"
+            packageVersion = "1.0.0"
+        }
+    }
+}
diff --git a/EmbeddingInversion/app/src/main/kotlin/sk/ainet/samples/vec2text/ui/Engine.kt b/EmbeddingInversion/app/src/main/kotlin/sk/ainet/samples/vec2text/ui/Engine.kt
new file mode 100644
index 0000000..f05b984
--- /dev/null
+++ b/EmbeddingInversion/app/src/main/kotlin/sk/ainet/samples/vec2text/ui/Engine.kt
@@ -0,0 +1,156 @@
+package sk.ainet.samples.vec2text.ui
+
+import kotlinx.serialization.json.Json
+import kotlinx.serialization.json.jsonObject
+import sk.ainet.context.DirectCpuExecutionContext
+import sk.ainet.io.JvmRandomAccessSource
+import sk.ainet.io.safetensors.SafeTensorsParametersLoader
+import sk.ainet.io.tokenizer.SentencePieceTokenizer
+import sk.ainet.lang.tensor.Tensor
+import sk.ainet.lang.tensor.plus
+import sk.ainet.lang.tensor.times
+import sk.ainet.lang.types.FP32
+import sk.ainet.models.t5.GtrEmbedder
+import sk.ainet.models.t5.T5Config
+import sk.ainet.models.t5.T5Runtime
+import sk.ainet.models.t5.loadT5Weights
+import sk.ainet.models.vec2text.CorrectorModel
+import sk.ainet.models.vec2text.InversionModel
+import sk.ainet.models.vec2text.Vec2TextInverter
+import sk.ainet.models.vec2text.Vec2TextWeightLoader
+import java.io.File
+
+/** One correction step surfaced to the UI. */
+data class Step(val step: Int, val text: String, val cosine: Float)
+
+/**
+ * Loads the gtr-base checkpoints once and drives the vec2text inversion loop **step by step**
+ * (using the public InversionModel / CorrectorModel APIs) so the UI can render each hypothesis
+ * as it's produced — the full loop takes minutes on CPU.
+ */
+class Vec2TextEngine private constructor(
+    private val embedder: GtrEmbedder<FP32>,
+    private val inversion: InversionModel<FP32>,
+    private val corrector: CorrectorModel<FP32>,
+    private val sp: SentencePieceTokenizer,
+    private val cfg: T5Config,
+) {
+    private fun encodeForEmbedder(text: String): IntArray {
+        val ids = sp.encode(text).take(cfg.maxSeqLength - 1).toMutableList()
+        ids.add(cfg.eosTokenId)
+        return ids.toIntArray()
+    }
+
+    private fun decode(ids: IntArray): String =
+        sp.decode(ids.filter { it != 0 && it != cfg.eosTokenId }.toIntArray())
+
+    /** Embed [text] into its `[768]` GTR sentence embedding. */
+    fun embed(text: String): Tensor<FP32, Float> = embedder.embed(encodeForEmbedder(text))
+
+    /** Raw float view of an embedding, for visualization. */
+    fun toFloats(v: Tensor<FP32, Float>): FloatArray = v.data.copyToFloatArray()
+
+    /** Linear interpolation `(1-alpha)*a + alpha*b` of two embeddings. */
+    fun interpolate(a: Tensor<FP32, Float>, b: Tensor<FP32, Float>, alpha: Float): Tensor<FP32, Float> =
+        (a * (1f - alpha)) + (b * alpha)
+
+    /**
+     * Invert [target] into text over [steps] correction rounds, calling [onStep] after the
+     * initial hypothesis (step 0) and each correction. Returns the best-cosine hypothesis.
+     *
+     * [beamWidth] > 1 or [tokenBeams] > 1 enables beam search (better reconstructions, slower):
+     * [tokenBeams] is the T5 token-level beam per generation; [beamWidth] keeps that many
+     * hypotheses across correction rounds, ranked by cosine to [target].
+     */
+    fun invert(
+        target: Tensor<FP32, Float>,
+        steps: Int,
+        beamWidth: Int = 1,
+        tokenBeams: Int = 1,
+        onStep: (Step) -> Unit,
+    ): Step =
+        if (beamWidth <= 1 && tokenBeams <= 1) invertGreedy(target, steps, onStep)
+        else invertBeam(target, steps, beamWidth.coerceAtLeast(1), tokenBeams.coerceAtLeast(1), onStep)
+
+    private fun invertGreedy(target: Tensor<FP32, Float>, steps: Int, onStep: (Step) -> Unit): Step {
+        var hypIds = inversion.invert(target, maxLength = cfg.maxSeqLength)
+        var hypText = decode(hypIds)
+        var best = Step(0, hypText, cosineOf(target, hypText))
+        onStep(best)
+
+        for (s in 1..steps) {
+            hypIds = corrector.correct(target, embed(hypText), hypIds, maxLength = cfg.maxSeqLength)
+            hypText = decode(hypIds)
+            val step = Step(s, hypText, cosineOf(target, hypText))
+            onStep(step)
+            if (step.cosine > best.cosine) best = step
+        }
+        return best
+    }
+
+    /** Streaming sequence-level beam: emit the best-of-beam hypothesis after each round. */
+    private fun invertBeam(target: Tensor<FP32, Float>, steps: Int, beamWidth: Int, tokenBeams: Int, onStep: (Step) -> Unit): Step {
+        var beams = rank(target, inversion.invertBeam(target, maxOf(beamWidth, tokenBeams), cfg.maxSeqLength)).take(beamWidth)
+        var best = Step(0, beams.first().text, beams.first().cos)
+        onStep(best)
+
+        for (s in 1..steps) {
+            val pool = ArrayList<IntArray>()
+            for (b in beams) pool += corrector.correctBeam(target, embed(b.text), b.ids, tokenBeams, cfg.maxSeqLength)
+            beams = rank(target, pool).take(beamWidth)
+            val sb = beams.first()
+            val step = Step(s, sb.text, sb.cos)
+            onStep(step)
+            if (step.cosine > best.cosine) best = step
+        }
+        return best
+    }
+
+    private class Cand(val ids: IntArray, val text: String, val cos: Float)
+
+    private fun rank(target: Tensor<FP32, Float>, idsList: List<IntArray>): List<Cand> =
+        idsList.asSequence()
+            .map { ids -> decode(ids) to ids }
+            .distinctBy { it.first }
+            .map { (text, ids) -> Cand(ids, text, cosineOf(target, text)) }
+            .sortedByDescending { it.cos }
+            .toList()
+
+    private fun cosineOf(target: Tensor<FP32, Float>, text: String): Float =
+        Vec2TextInverter.cosine(target, embed(text))
+
+    companion object {
+        val REQUIRED = listOf(
+            "tokenizer.json", "gtr_encoder.safetensors", "inversion.safetensors", "corrector.safetensors",
+        )
+
+        /** Resolve the models dir: `$VEC2TEXT_MODELS_DIR`, else `../models`, else `models`. */
+        fun modelsDir(): File {
+            System.getenv("VEC2TEXT_MODELS_DIR")?.let { return File(it) }
+            for (c in listOf("../models", "models")) {
+                val f = File(c)
+                if (File(f, "tokenizer.json").exists()) return f
+            }
+            return File("../models")
+        }
+
+        fun missing(dir: File): List<String> = REQUIRED.filterNot { File(dir, it).exists() }
+
+        /** Blocking load of all three models (call off the UI thread). */
+        suspend fun load(dir: File): Vec2TextEngine {
+            val ctx = DirectCpuExecutionContext()
+            val cfg = T5Config()
+            fun loader(name: String) =
+                SafeTensorsParametersLoader(sourceProvider = { JvmRandomAccessSource.open(File(dir, name).toString()) })
+
+            val gtr = loadT5Weights(loader("gtr_encoder.safetensors"), ctx, FP32::class, cfg, "", withDecoder = false)
+            val embedder = GtrEmbedder(T5Runtime(ctx, gtr, FP32::class))
+            val inversion = InversionModel(ctx, Vec2TextWeightLoader.loadInversion(loader("inversion.safetensors"), ctx, FP32::class, cfg), FP32::class)
+            val corrector = CorrectorModel(ctx, Vec2TextWeightLoader.loadCorrector(loader("corrector.safetensors"), ctx, FP32::class, cfg), FP32::class)
+            val sp = SentencePieceTokenizer.fromTokenizerJson(
+                Json.parseToJsonElement(File(dir, "tokenizer.json").readText()).jsonObject
+            )
+            return Vec2TextEngine(embedder, inversion, corrector, sp, cfg)
+        }
+    }
+}
diff --git a/EmbeddingInversion/app/src/main/kotlin/sk/ainet/samples/vec2text/ui/Main.kt b/EmbeddingInversion/app/src/main/kotlin/sk/ainet/samples/vec2text/ui/Main.kt
new file mode 100644
index 0000000..6eef2ba
--- /dev/null
+++ b/EmbeddingInversion/app/src/main/kotlin/sk/ainet/samples/vec2text/ui/Main.kt
@@ -0,0 +1,251 @@
+package sk.ainet.samples.vec2text.ui
+
+import androidx.compose.foundation.Canvas
+import androidx.compose.foundation.layout.Arrangement
+import androidx.compose.foundation.layout.Column
+import androidx.compose.foundation.layout.Row
+import androidx.compose.foundation.layout.Spacer
+import androidx.compose.foundation.layout.fillMaxSize
+import androidx.compose.foundation.layout.fillMaxWidth
+import androidx.compose.foundation.layout.height
+import androidx.compose.foundation.layout.padding
+import androidx.compose.foundation.rememberScrollState
+import androidx.compose.foundation.verticalScroll
+import androidx.compose.material3.Button
+import androidx.compose.material3.CircularProgressIndicator
+import androidx.compose.material3.MaterialTheme
+import androidx.compose.material3.OutlinedTextField
+import androidx.compose.material3.Slider
+import androidx.compose.material3.Tab
+import androidx.compose.material3.TabRow
+import androidx.compose.material3.Text
+import androidx.compose.runtime.Composable
+import androidx.compose.runtime.LaunchedEffect
+import androidx.compose.runtime.getValue
+import androidx.compose.runtime.mutableStateListOf
+import androidx.compose.runtime.mutableStateOf
+import androidx.compose.runtime.remember
+import androidx.compose.runtime.rememberCoroutineScope
+import androidx.compose.runtime.setValue
+import androidx.compose.ui.Alignment
+import androidx.compose.ui.Modifier
+import androidx.compose.ui.geometry.Offset
+import androidx.compose.ui.graphics.Color
+import androidx.compose.ui.unit.dp
+import androidx.compose.ui.window.Window
+import androidx.compose.ui.window.application
+import kotlinx.coroutines.Dispatchers
+import kotlinx.coroutines.launch
+import kotlinx.coroutines.withContext
+import sk.ainet.lang.types.FP32
+import kotlin.math.abs
+import kotlin.math.min
+
+private sealed interface Load {
+    data object Loading : Load
+    data class Missing(val dir: String, val files: List<String>) : Load
+    data class Ready(val engine: Vec2TextEngine) : Load
+    data class Failed(val message: String) : Load
+}
+
+fun main() = application {
+    Window(onCloseRequest = ::exitApplication, title = "Embedding Inversion — vec2text on SKaiNET") {
+        MaterialTheme { App() }
+    }
+}
+
+@Composable
+private fun App() {
+    var load by remember { mutableStateOf<Load>(Load.Loading) }
+    LaunchedEffect(Unit) {
+        val dir = Vec2TextEngine.modelsDir()
+        val missing = Vec2TextEngine.missing(dir)
+        load = if (missing.isNotEmpty()) {
+            Load.Missing(dir.absolutePath, missing)
+        } else try {
+            Load.Ready(withContext(Dispatchers.Default) { Vec2TextEngine.load(dir) })
+        } catch (e: Throwable) {
+            Load.Failed(e.message ?: e.toString())
+        }
+    }
+
+    Column(Modifier.fillMaxSize().padding(20.dp)) {
+        Text("Embedding Inversion", style = MaterialTheme.typography.headlineSmall)
+        Text(
+            "Decode a sentence embedding back into text (vec2text on SKaiNET). Embeddings are not anonymous.",
+            style = MaterialTheme.typography.bodyMedium,
+        )
+        Spacer(Modifier.height(16.dp))
+        when (val l = load) {
+            is Load.Loading -> Row(verticalAlignment = Alignment.CenterVertically) {
+                CircularProgressIndicator(Modifier.height(20.dp)); Spacer(Modifier.height(8.dp))
+                Text("  Loading models (~1.1 GB)…")
+            }
+            is Load.Missing -> Text(
+                "Models not found in ${l.dir}\nMissing: ${l.files.joinToString()}\n" +
+                    "Put the converted weights there or set VEC2TEXT_MODELS_DIR (see README).",
+                color = MaterialTheme.colorScheme.error,
+            )
+            is Load.Failed -> Text("Failed to load models: ${l.message}", color = MaterialTheme.colorScheme.error)
+            is Load.Ready -> Tabs(l.engine)
+        }
+    }
+}
+
+@Composable
+private fun Tabs(engine: Vec2TextEngine) {
+    var tab by remember { mutableStateOf(0) }
+    val titles = listOf("Round trip", "Vector arithmetic")
+    TabRow(selectedTabIndex = tab) {
+        titles.forEachIndexed { i, t -> Tab(selected = tab == i, onClick = { tab = i }, text = { Text(t) }) }
+    }
+    Spacer(Modifier.height(16.dp))
+    when (tab) {
+        0 -> RoundTripTab(engine)
+        else -> VectorArithmeticTab(engine)
+    }
+}
+
+@Composable
+private fun RoundTripTab(engine: Vec2TextEngine) {
+    val scope = rememberCoroutineScope()
+    var text by remember { mutableStateOf("jack morris is a phd student at cornell tech in new york city") }
+    var steps by remember { mutableStateOf(5f) }
+    var beam by remember { mutableStateOf(1f) }
+    var running by remember { mutableStateOf(false) }
+    var vector by remember { mutableStateOf<FloatArray?>(null) }
+    val trace = remember { mutableStateListOf<Step>() }
+
+    Column(Modifier.verticalScroll(rememberScrollState())) {
+        OutlinedTextField(text, { text = it }, Modifier.fillMaxWidth(), label = { Text("Text to embed & invert") })
+        StepsSlider(steps) { steps = it }
+        BeamSlider(beam) { beam = it }
+        RunButton("Embed → invert", running) {
+            running = true; trace.clear(); vector = null
+            scope.launch {
+                withContext(Dispatchers.Default) {
+                    val target = engine.embed(text)
+                    vector = engine.toFloats(target)
+                    engine.invert(target, steps.toInt(), beam.toInt(), beam.toInt()) { trace.add(it) }
+                }
+                running = false
+            }
+        }
+        vector?.let { EmbeddingStrip(it) }
+        Reconstruction(original = text, trace = trace)
+    }
+}
+
+@Composable
+private fun VectorArithmeticTab(engine: Vec2TextEngine) {
+    val scope = rememberCoroutineScope()
+    var a by remember { mutableStateOf("the weather in paris is cold and rainy") }
+    var b by remember { mutableStateOf("the food in tokyo is fresh and delicious") }
+    var alpha by remember { mutableStateOf(0.5f) }
+    var running by remember { mutableStateOf(false) }
+    var vector by remember { mutableStateOf<FloatArray?>(null) }
+    val trace = remember { mutableStateListOf<Step>() }
+
+    Column(Modifier.verticalScroll(rememberScrollState())) {
+        OutlinedTextField(a, { a = it }, Modifier.fillMaxWidth(), label = { Text("Sentence A") })
+        OutlinedTextField(b, { b = it }, Modifier.fillMaxWidth(), label = { Text("Sentence B") })
+        Text("Interpolation  A ${"%.2f".format(1 - alpha)}  ↔  B ${"%.2f".format(alpha)}")
+        Slider(alpha, { alpha = it }, valueRange = 0f..1f)
+        RunButton("Invert interpolated embedding", running) {
+            running = true; trace.clear(); vector = null
+            scope.launch {
+                withContext(Dispatchers.Default) {
+                    val target = engine.interpolate(engine.embed(a), engine.embed(b), alpha)
+                    vector = engine.toFloats(target)
+                    engine.invert(target, 5) { trace.add(it) }
+                }
+                running = false
+            }
+        }
+        Text(
+            "Inverting a blend of two sentence embeddings — text you never wrote, decoded from a vector.",
+            style = MaterialTheme.typography.bodySmall,
+        )
+        vector?.let { EmbeddingStrip(it) }
+        Reconstruction(original = "(interpolated embedding)", trace = trace)
+    }
+}
+
+@Composable
+private fun StepsSlider(steps: Float, onChange: (Float) -> Unit) {
+    Text("Correction steps: ${steps.toInt()}")
+    Slider(steps, onChange, valueRange = 0f..20f, steps = 19)
+}
+
+@Composable
+private fun BeamSlider(beam: Float, onChange: (Float) -> Unit) {
+    val w = beam.toInt()
+    Text("Beam width: ${if (w <= 1) "1 (greedy)" else "$w (slower, better)"}")
+    Slider(beam, onChange, valueRange = 1f..4f, steps = 2)
+}
+
+@Composable
+private fun RunButton(label: String, running: Boolean, onClick: () -> Unit) {
+    Row(verticalAlignment = Alignment.CenterVertically) {
+        Button(onClick = onClick, enabled = !running) { Text(label) }
+        if (running) {
+            Spacer(Modifier.height(8.dp))
+            CircularProgressIndicator(Modifier.height(18.dp).padding(start = 12.dp))
+            Text("  working… (CPU decode is slow)")
+        }
+    }
+    Spacer(Modifier.height(12.dp))
+}
+
+/** A horizontal strip visualizing the 768-d embedding: one column per (downsampled) dim, red<0<blue. */
+@Composable
+private fun EmbeddingStrip(v: FloatArray) {
+    Spacer(Modifier.height(12.dp))
+    Text("embedding (${v.size}-d)", style = MaterialTheme.typography.labelMedium)
+    val maxAbs = (v.maxOfOrNull { abs(it) } ?: 1f).coerceAtLeast(1e-6f)
+    Canvas(Modifier.fillMaxWidth().height(48.dp)) {
+        val cols = min(size.width.toInt(), v.size)
+        val cw = size.width / cols
+        for (i in 0 until cols) {
+            val value = v[i * v.size / cols] / maxAbs
+            val c = if (value >= 0) Color(0f, 0.35f, 1f, value.coerceIn(0f, 1f))
+            else Color(1f, 0.2f, 0.2f, (-value).coerceIn(0f, 1f))
+            drawRect(c, topLeft = Offset(i * cw, 0f), size = androidx.compose.ui.geometry.Size(cw + 1, size.height))
+        }
+    }
+    Spacer(Modifier.height(12.dp))
+}
+
+@Composable
+private fun Reconstruction(original: String, trace: List<Step>) {
+    if (trace.isEmpty()) return
+    Spacer(Modifier.height(12.dp))
+    Text("original:      $original", style = MaterialTheme.typography.bodyMedium)
+    val best = trace.maxByOrNull { it.cosine }
+    if (best != null) {
+        Text("reconstructed: ${best.text}", style = MaterialTheme.typography.titleMedium)
+        Text("best cosine:   ${"%.4f".format(best.cosine)}")
+    }
+    Spacer(Modifier.height(8.dp))
+    Text("steps", style = MaterialTheme.typography.labelMedium)
+    Column {
+        for (s in trace) {
+            Row(Modifier.fillMaxWidth().padding(vertical = 2.dp), verticalAlignment = Alignment.CenterVertically) {
+                Text("${s.step}", Modifier.height(20.dp))
+                CosineBar(s.cosine)
+                Text("  ${"%.3f".format(s.cosine)}  ${s.text}", style = MaterialTheme.typography.bodySmall)
+            }
+        }
+    }
+}
+
+@Composable
+private fun CosineBar(cosine: Float) {
+    Canvas(Modifier.height(12.dp).fillMaxWidth(0.18f).padding(horizontal = 8.dp)) {
+        drawRect(Color(0.85f, 0.85f, 0.85f), size = size)
+        drawRect(
+            Color(0.2f, 0.6f, 0.3f),
+            size = androidx.compose.ui.geometry.Size(size.width * cosine.coerceIn(0f, 1f), size.height),
+        )
+    }
+}
diff --git a/EmbeddingInversion/build.gradle.kts b/EmbeddingInversion/build.gradle.kts
new file mode 100644
index 0000000..4e6287c
--- /dev/null
+++ b/EmbeddingInversion/build.gradle.kts
@@ -0,0 +1,7 @@
+// Root build for the EmbeddingInversion example. Plugin versions are declared once here
+// (apply false) so the :cli and :app subprojects can apply them without repeating versions.
+plugins {
+    kotlin("jvm") version "2.4.0" apply false
+    id("org.jetbrains.compose") version "1.10.1" apply false
+    id("org.jetbrains.kotlin.plugin.compose") version "2.4.0" apply false
+}
diff --git a/EmbeddingInversion/cli/build.gradle.kts b/EmbeddingInversion/cli/build.gradle.kts
new file mode 100644
index 0000000..d140211
--- /dev/null
+++ b/EmbeddingInversion/cli/build.gradle.kts
@@ -0,0 +1,36 @@
+plugins {
+    kotlin("jvm")
+    application
+}
+
+repositories {
+    google()
+    mavenCentral()
+    // SKaiNET-transformers 0.37.0 (beam search) from the local Maven cache until it lands on Central.
+    mavenLocal { mavenContent { includeGroupAndSubgroups("sk.ainet") } }
+}
+
+kotlin {
+    jvmToolchain(21)
+}
+
+dependencies {
+    // SKaiNET core: version aligned by the published BOM (0.36.0), resolved from Maven Central.
+    implementation(platform("sk.ainet:skainet-bom:0.36.0"))
+    implementation("sk.ainet.core:skainet-lang-core")
+    implementation("sk.ainet.core:skainet-backend-cpu")
+    implementation("sk.ainet.core:skainet-io-core")
+    implementation("sk.ainet.core:skainet-io-safetensors")
+
+    // t5 / vec2text 0.37.0 (beam search) — from the local Maven cache until it lands on Central
+    // (publish with: SKaiNET-transformers `./gradlew publishToMavenLocal -PsignAllPublications=false`).
+    implementation("sk.ainet.transformers:skainet-transformers-inference-t5:0.37.0")
+    implementation("sk.ainet.transformers:skainet-transformers-inference-vec2text:0.37.0")
+
+    implementation("org.jetbrains.kotlinx:kotlinx-coroutines-core:1.11.0")
+    implementation("org.jetbrains.kotlinx:kotlinx-serialization-json:1.11.0")
+}
+
+application {
+    mainClass.set("sk.ainet.samples.vec2text.MainKt")
+}
diff --git a/EmbeddingInversion/cli/src/main/kotlin/sk/ainet/samples/vec2text/Main.kt b/EmbeddingInversion/cli/src/main/kotlin/sk/ainet/samples/vec2text/Main.kt
new file mode 100644
index 0000000..3c0c726
--- /dev/null
+++ b/EmbeddingInversion/cli/src/main/kotlin/sk/ainet/samples/vec2text/Main.kt
@@ -0,0 +1,81 @@
+package sk.ainet.samples.vec2text
+
+import kotlinx.coroutines.runBlocking
+import kotlinx.serialization.json.Json
+import kotlinx.serialization.json.jsonObject
+import sk.ainet.context.DirectCpuExecutionContext
+import sk.ainet.io.JvmRandomAccessSource
+import sk.ainet.io.safetensors.SafeTensorsParametersLoader
+import sk.ainet.io.tokenizer.SentencePieceTokenizer
+import sk.ainet.models.t5.GtrEmbedder
+import sk.ainet.models.t5.T5Config
+import sk.ainet.models.t5.T5Runtime
+import sk.ainet.models.t5.loadT5Weights
+import sk.ainet.models.vec2text.CorrectorModel
+import sk.ainet.models.vec2text.InversionModel
+import sk.ainet.models.vec2text.Vec2TextInverter
+import sk.ainet.models.vec2text.Vec2TextTokenizer
+import sk.ainet.models.vec2text.Vec2TextWeightLoader
+import sk.ainet.lang.types.FP32
+import java.io.File
+
+/**
+ * EmbeddingInversion CLI — decode a sentence embedding back into text with vec2text on SKaiNET.
+ *
+ * Usage:
+ *   ./gradlew :cli:run --args="<text to invert>"
+ * Model directory (default ./models) can be overridden with VEC2TEXT_MODELS_DIR.
+ * Needs gtr_encoder / inversion / corrector .safetensors + tokenizer.json (see README).
+ */
+fun main(args: Array<String>) = runBlocking {
+    val modelsDir = File(System.getenv("VEC2TEXT_MODELS_DIR") ?: "models")
+    val text = args.joinToString(" ").ifBlank {
+        "jack morris is a phd student at cornell tech in new york city"
+    }
+    val steps = System.getenv("VEC2TEXT_STEPS")?.toIntOrNull() ?: 5
+    val beamWidth = System.getenv("VEC2TEXT_BEAM")?.toIntOrNull() ?: 1
+    val tokenBeams = System.getenv("VEC2TEXT_TOKEN_BEAMS")?.toIntOrNull() ?: beamWidth
+
+    val required = listOf("tokenizer.json", "gtr_encoder.safetensors", "inversion.safetensors", "corrector.safetensors")
+    val missing = required.filterNot { File(modelsDir, it).exists() }
+    if (missing.isNotEmpty()) {
+        System.err.println("Missing model files in ${modelsDir.absolutePath}: $missing")
+        System.err.println("See README.md for how to produce them, or set VEC2TEXT_MODELS_DIR.")
+        return@runBlocking
+    }
+
+    val ctx = DirectCpuExecutionContext()
+    val cfg = T5Config()
+    fun loader(name: String) =
+        SafeTensorsParametersLoader(sourceProvider = { JvmRandomAccessSource.open(File(modelsDir, name).toString()) })
+
+    println("Loading models from ${modelsDir.absolutePath} …")
+    val gtr = loadT5Weights(loader("gtr_encoder.safetensors"), ctx, FP32::class, cfg, "", withDecoder = false)
+    val embedder = GtrEmbedder(T5Runtime(ctx, gtr, FP32::class))
+    val inversion = InversionModel(ctx, Vec2TextWeightLoader.loadInversion(loader("inversion.safetensors"), ctx, FP32::class, cfg), FP32::class)
+    val corrector = CorrectorModel(ctx, Vec2TextWeightLoader.loadCorrector(loader("corrector.safetensors"), ctx, FP32::class, cfg), FP32::class)
+
+    val sp = SentencePieceTokenizer.fromTokenizerJson(
+        Json.parseToJsonElement(File(modelsDir, "tokenizer.json").readText()).jsonObject
+    )
+    val codec = object : Vec2TextTokenizer {
+        override fun encodeForEmbedder(text: String): IntArray {
+            val ids = sp.encode(text).take(cfg.maxSeqLength - 1).toMutableList()
+            ids.add(cfg.eosTokenId)
+            return ids.toIntArray()
+        }
+        override fun decode(ids: IntArray): String =
+            sp.decode(ids.filter { it != 0 && it != cfg.eosTokenId }.toIntArray())
+    }
+
+    val mode = if (beamWidth > 1 || tokenBeams > 1) "beam ×$beamWidth, token-beams ×$tokenBeams" else "greedy"
+    println("Inverting (≤$steps correction steps, $mode)…\n")
+    val result = Vec2TextInverter(embedder, inversion, corrector, codec)
+        .invert(text, numSteps = steps, maxLength = cfg.maxSeqLength, sequenceBeamWidth = beamWidth, tokenBeams = tokenBeams)
+
+    println("original:      $text")
+    println("reconstructed: ${result.text}")
+    println("cosine:        ${"%.4f".format(result.cosine)}\n")
+    println("trace:")
+    result.trace.forEach { println("  step ${it.step}: cos=${"%.4f".format(it.cosine)}  \"${it.text}\"") }
+}
diff --git a/EmbeddingInversion/gradle.properties b/EmbeddingInversion/gradle.properties
new file mode 100644
index 0000000..6b74e16
--- /dev/null
+++ b/EmbeddingInversion/gradle.properties
@@ -0,0 +1,4 @@
+kotlin.code.style=official
+org.gradle.jvmargs=-Xmx4g -Dfile.encoding=UTF-8
+org.gradle.configuration-cache=true
+kotlin.native.ignoreDisabledTargets=true
diff --git a/EmbeddingInversion/gradle/wrapper/gradle-wrapper.jar b/EmbeddingInversion/gradle/wrapper/gradle-wrapper.jar
new file mode 100644
index 0000000..b1b8ef5
Binary files /dev/null and b/EmbeddingInversion/gradle/wrapper/gradle-wrapper.jar differ
diff --git a/EmbeddingInversion/gradle/wrapper/gradle-wrapper.properties b/EmbeddingInversion/gradle/wrapper/gradle-wrapper.properties
new file mode 100644
index 0000000..db6d194
--- /dev/null
+++ b/EmbeddingInversion/gradle/wrapper/gradle-wrapper.properties
@@ -0,0 +1,8 @@
+distributionBase=GRADLE_USER_HOME
+distributionPath=wrapper/dists
+distributionUrl=https\://services.gradle.org/distributions/gradle-9.6.1-bin.zip
+networkTimeout=10000
+retries=0
+retryBackOffMs=500
+zipStoreBase=GRADLE_USER_HOME
+zipStorePath=wrapper/dists
diff --git a/EmbeddingInversion/gradlew b/EmbeddingInversion/gradlew
new file mode 100755
index 0000000..249efbb
--- /dev/null
+++ b/EmbeddingInversion/gradlew
@@ -0,0 +1,248 @@
+#!/bin/sh
+
+#
+# Copyright © 2015 the original authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+#
+
+##############################################################################
+#
+#   gradlew start up script for POSIX generated by Gradle.
+#
+#   Important for running:
+#
+#   (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is
+#       noncompliant, but you have some other compliant shell such as ksh or
+#       bash, then to run this script, type that shell name before the whole
+#       command line, like:
+#
+#           ksh gradlew
+#
+#       Busybox and similar reduced shells will NOT work, because this script
+#       requires all of these POSIX shell features:
+#         * functions;
+#         * expansions «$var», «${var}», «${var:-default}», «${var+SET}»,
+#           «${var#prefix}», «${var%suffix}», and «$( cmd )»;
+#         * compound commands having a testable exit status, especially «case»;
+#         * various built-in commands including «command», «set», and «ulimit».
+#
+#   Important for patching:
+#
+#   (2) This script targets any POSIX shell, so it avoids extensions provided
+#       by Bash, Ksh, etc; in particular arrays are avoided.
+#
+#       The "traditional" practice of packing multiple parameters into a
+#       space-separated string is a well documented source of bugs and security
+#       problems, so this is (mostly) avoided, by progressively accumulating
+#       options in "$@", and eventually passing that to Java.
+#
+#       Where the inherited environment variables (DEFAULT_JVM_OPTS, JAVA_OPTS,
+#       and GRADLE_OPTS) rely on word-splitting, this is performed explicitly;
+#       see the in-line comments for details.
+#
+#       There are tweaks for specific operating systems such as AIX, CygWin,
+#       Darwin, MinGW, and NonStop.
+#
+#   (3) This script is generated from the Groovy template
+#       https://github.com/gradle/gradle/blob/3d91ce3b8caaf77ad09f381f43615b715b53f72c/platforms/jvm/plugins-application/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt
+#       within the Gradle project.
+#
+#       You can find Gradle at https://github.com/gradle/gradle/.
+#
+##############################################################################
+
+# Attempt to set APP_HOME
+
+# Resolve links: $0 may be a link
+app_path=$0
+
+# Need this for daisy-chained symlinks.
+while
+    APP_HOME=${app_path%"${app_path##*/}"}  # leaves a trailing /; empty if no leading path
+    [ -h "$app_path" ]
+do
+    ls=$( ls -ld "$app_path" )
+    link=${ls#*' -> '}
+    case $link in             #(
+      /*)   app_path=$link ;; #(
+      *)    app_path=$APP_HOME$link ;;
+    esac
+done
+
+# This is normally unused
+# shellcheck disable=SC2034
+APP_BASE_NAME=${0##*/}
+# Discard cd standard output in case $CDPATH is set (https://github.com/gradle/gradle/issues/25036)
+APP_HOME=$( cd -P "${APP_HOME:-./}" > /dev/null && printf '%s\n' "$PWD" ) || exit
+
+# Use the maximum available, or set MAX_FD != -1 to use that value.
+MAX_FD=maximum
+
+warn () {
+    echo "$*"
+} >&2
+
+die () {
+    echo
+    echo "$*"
+    echo
+    exit 1
+} >&2
+
+# OS specific support (must be 'true' or 'false').
+cygwin=false
+msys=false
+darwin=false
+nonstop=false
+case "$( uname )" in                #(
+  CYGWIN* )         cygwin=true  ;; #(
+  Darwin* )         darwin=true  ;; #(
+  MSYS* | MINGW* )  msys=true    ;; #(
+  NONSTOP* )        nonstop=true ;;
+esac
+
+
+
+# Determine the Java command to use to start the JVM.
+if [ -n "$JAVA_HOME" ] ; then
+    if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
+        # IBM's JDK on AIX uses strange locations for the executables
+        JAVACMD=$JAVA_HOME/jre/sh/java
+    else
+        JAVACMD=$JAVA_HOME/bin/java
+    fi
+    if [ ! -x "$JAVACMD" ] ; then
+        die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+    fi
+else
+    JAVACMD=java
+    if ! command -v java >/dev/null 2>&1
+    then
+        die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+    fi
+fi
+
+# Increase the maximum file descriptors if we can.
+if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then
+    case $MAX_FD in #(
+      max*)
+        # In POSIX sh, ulimit -H is undefined. That's why the result is checked to see if it worked.
+        # shellcheck disable=SC2039,SC3045
+        MAX_FD=$( ulimit -H -n ) ||
+            warn "Could not query maximum file descriptor limit"
+    esac
+    case $MAX_FD in  #(
+      '' | soft) :;; #(
+      *)
+        # In POSIX sh, ulimit -n is undefined. That's why the result is checked to see if it worked.
+        # shellcheck disable=SC2039,SC3045
+        ulimit -n "$MAX_FD" ||
+            warn "Could not set maximum file descriptor limit to $MAX_FD"
+    esac
+fi
+
+# Collect all arguments for the java command, stacking in reverse order:
+#   * args from the command line
+#   * the main class name
+#   * -classpath
+#   * -D...appname settings
+#   * --module-path (only if needed)
+#   * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables.
+
+# For Cygwin or MSYS, switch paths to Windows format before running java
+if "$cygwin" || "$msys" ; then
+    APP_HOME=$( cygpath --path --mixed "$APP_HOME" )
+
+    JAVACMD=$( cygpath --unix "$JAVACMD" )
+
+    # Now convert the arguments - kludge to limit ourselves to /bin/sh
+    for arg do
+        if
+            case $arg in                                #(
+              -*)   false ;;                            # don't mess with options #(
+              /?*)  t=${arg#/} t=/${t%%/*}              # looks like a POSIX filepath
+                    [ -e "$t" ] ;;                      #(
+              *)    false ;;
+            esac
+        then
+            arg=$( cygpath --path --ignore --mixed "$arg" )
+        fi
+        # Roll the args list around exactly as many times as the number of
+        # args, so each arg winds up back in the position where it started, but
+        # possibly modified.
+        #
+        # NB: a `for` loop captures its iteration list before it begins, so
+        # changing the positional parameters here affects neither the number of
+        # iterations, nor the values presented in `arg`.
+        shift                   # remove old arg
+        set -- "$@" "$arg"      # push replacement arg
+    done
+fi
+
+
+# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
+
+# Collect all arguments for the java command:
+#   * DEFAULT_JVM_OPTS, JAVA_OPTS, and optsEnvironmentVar are not allowed to contain shell fragments,
+#     and any embedded shellness will be escaped.
+#   * For example: A user cannot expect ${Hostname} to be expanded, as it is an environment variable and will be
+#     treated as '${Hostname}' itself on the command line.
+
+set -- \
+        "-Dorg.gradle.appname=$APP_BASE_NAME" \
+        -jar "$APP_HOME/gradle/wrapper/gradle-wrapper.jar" \
+        "$@"
+
+# Stop when "xargs" is not available.
+if ! command -v xargs >/dev/null 2>&1
+then
+    die "xargs is not available"
+fi
+
+# Use "xargs" to parse quoted args.
+#
+# With -n1 it outputs one arg per line, with the quotes and backslashes removed.
+#
+# In Bash we could simply go:
+#
+#   readarray ARGS < <( xargs -n1 <<<"$var" ) &&
+#   set -- "${ARGS[@]}" "$@"
+#
+# but POSIX shell has neither arrays nor command substitution, so instead we
+# post-process each arg (as a line of input to sed) to backslash-escape any
+# character that might be a shell metacharacter, then use eval to reverse
+# that process (while maintaining the separation between arguments), and wrap
+# the whole thing up as a single "set" statement.
+#
+# This will of course break if any of these variables contains a newline or
+# an unmatched quote.
+#
+
+eval "set -- $(
+        printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" |
+        xargs -n1 |
+        sed ' s~[^-[:alnum:]+,./:=@_]~\\&~g; ' |
+        tr '\n' ' '
+    )" '"$@"'
+
+exec "$JAVACMD" "$@"
diff --git a/EmbeddingInversion/gradlew.bat b/EmbeddingInversion/gradlew.bat
new file mode 100644
index 0000000..8508ef6
--- /dev/null
+++ b/EmbeddingInversion/gradlew.bat
@@ -0,0 +1,82 @@
+@rem
+@rem Copyright 2015 the original author or authors.
+@rem
+@rem Licensed under the Apache License, Version 2.0 (the "License");
+@rem you may not use this file except in compliance with the License.
+@rem You may obtain a copy of the License at
+@rem
+@rem      https://www.apache.org/licenses/LICENSE-2.0
+@rem
+@rem Unless required by applicable law or agreed to in writing, software
+@rem distributed under the License is distributed on an "AS IS" BASIS,
+@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+@rem See the License for the specific language governing permissions and
+@rem limitations under the License.
+@rem
+@rem SPDX-License-Identifier: Apache-2.0
+@rem
+
+@if "%DEBUG%"=="" @echo off
+@rem ##########################################################################
+@rem
+@rem  gradlew startup script for Windows
+@rem
+@rem ##########################################################################
+
+@rem Set local scope for the variables, and ensure extensions are enabled
+setlocal EnableExtensions
+
+set DIRNAME=%~dp0
+if "%DIRNAME%"=="" set DIRNAME=.
+@rem This is normally unused
+set APP_BASE_NAME=%~n0
+set APP_HOME=%DIRNAME%
+
+@rem Resolve any "." and ".." in APP_HOME to make it shorter.
+for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi
+
+@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m"
+
+@rem Find java.exe
+if defined JAVA_HOME goto findJavaFromJavaHome
+
+set JAVA_EXE=java.exe
+%JAVA_EXE% -version >NUL 2>&1
+if %ERRORLEVEL% equ 0 goto execute
+
+echo. 1>&2
+echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. 1>&2
+echo. 1>&2
+echo Please set the JAVA_HOME variable in your environment to match the 1>&2
+echo location of your Java installation. 1>&2
+
+"%COMSPEC%" /c exit 1
+
+:findJavaFromJavaHome
+set JAVA_HOME=%JAVA_HOME:"=%
+set JAVA_EXE=%JAVA_HOME%/bin/java.exe
+
+if exist "%JAVA_EXE%" goto execute
+
+echo. 1>&2
+echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME% 1>&2
+echo. 1>&2
+echo Please set the JAVA_HOME variable in your environment to match the 1>&2
+echo location of your Java installation. 1>&2
+
+"%COMSPEC%" /c exit 1
+
+:execute
+@rem Setup the command line
+
+
+
+@rem Execute gradlew
+@rem endlocal doesn't take effect until after the line is parsed and variables are expanded
+@rem which allows us to clear the local environment before executing the java command
+endlocal & "%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -jar "%APP_HOME%\gradle\wrapper\gradle-wrapper.jar" %* & call :exitWithErrorLevel
+
+:exitWithErrorLevel
+@rem Use "%COMSPEC%" /c exit to allow operators to work properly in scripts
+"%COMSPEC%" /c exit %ERRORLEVEL%
diff --git a/EmbeddingInversion/settings.gradle.kts b/EmbeddingInversion/settings.gradle.kts
new file mode 100644
index 0000000..bad86d7
--- /dev/null
+++ b/EmbeddingInversion/settings.gradle.kts
@@ -0,0 +1,23 @@
+pluginManagement {
+    repositories {
+        google()
+        mavenCentral()
+        gradlePluginPortal()
+    }
+}
+
+dependencyResolutionManagement {
+    // Repositories are declared per-module (:cli, :app) so their own blocks apply; see there.
+    repositories {
+        google()
+        mavenCentral()
+    }
+}
+
+rootProject.name = "embedding-inversion"
+
+// Everything is consumed from Maven Central now: SKaiNET core + SKaiNET-transformers
+// (incl. the t5 / vec2text modules) are all published at 0.36.0. No composite build.
+
+include(":cli")
+include(":app")