diff --git a/README.md b/README.md
index 7f71103..c5d4040 100644
--- a/README.md
+++ b/README.md
@@ -44,6 +44,12 @@ See [Flavored English Lowering](./docs/flavored-english-lowering.md) for the
 first lowering target: interlingua projected through agent state into English
 dialogue.
 
+For the first AquaSynth speech-training handoff, see
+[Tiny PanPhon v0.1 Speech Curriculum](./examples/speech-training/tiny-panphon-v0.1/README.md).
+Those packets are emitted by `tools/emit_tiny_panphon_handoffs.py` and provide
+the crawl-stage artifact for simple IPA sounds before Weksa grows broader
+pronunciation coverage.
+
 ## Implementation Status
 
 No runtime language has been selected yet. The first committed artifact is the
diff --git a/docs/utterance-embedding.md b/docs/utterance-embedding.md
index 08f6cf1..15d86ce 100644
--- a/docs/utterance-embedding.md
+++ b/docs/utterance-embedding.md
@@ -81,6 +81,15 @@ semantics and phonetic realization are separate witnesses. For pure IPA or alien
 phonetic fixtures, the text embedding may be zero or point to the source
 meaning packet while `panphon_sequence` carries the sound-shape evidence.
 
+The first emitted training artifact is
+`examples/speech-training/tiny-panphon-v0.1/batch.json`. It contains six pure
+IPA seed packets (`a`, `pa`, `ta`, `ka`, `sa`, and `ma`) with zeroed semantic
+text embeddings, inline PanPhon-style feature frames, deterministic
+prosody/emphasis hints, and the Epiphany-compatible neutral 64-slot character
+state vector. The AquaSynth-owned learned fields are present but marked
+pending, so training can begin from a real Weksa artifact without pretending
+Weksa owns the optimizer.
+
 ```yaml
 schema_version: weksa.utterance_embedding_handoff.v0.1
 source_output_ref:
@@ -98,11 +107,6 @@ inputs:
     source:
     ipa:
     frames_ref:
-phonetic_realization_embedding:
-  owner: AquaSynth
-  model_id: aquasynth.panphon_sequence_encoder.v0.1
-  dimensionality: 256
-  values_ref:
   prosody_emphasis_hints:
     dimensionality: 32
     values:
@@ -110,6 +114,11 @@ phonetic_realization_embedding:
     source:
     dimensionality: 64
     values_ref:
+phonetic_realization_embedding:
+  owner: AquaSynth
+  model_id: aquasynth.panphon_sequence_encoder.v0.1
+  dimensionality: 256
+  values_ref:
 utterance_embedding:
   owner: AquaSynth
   model_id:
@@ -213,12 +222,15 @@ First loop:
 2. Project Ghostlight/Epiphany-shaped character context.
 3. Lower to English.
 4. Generate or attach a speech text embedding when the line has text semantics.
-5. Emit or attach a phonetic realization vector from pronunciation/IPA evidence.
+5. Emit PanPhon sequence evidence from pronunciation/IPA material.
 6. Emit prosody/emphasis hints and a projected character state vector.
-7. Human-review whether the line preserves meaning, pronunciation, and voice.
-8. AquaSynth trains the utterance embedding encoder.
-9. AquaSynth feeds the utterance embedding to the synth driver.
-10. Compare rendered speech against human notes and reference takes when present.
+7. AquaSynth trains or applies the phonetic sequence encoder to produce the
+   256-float phonetic realization embedding.
+8. Human-review whether the line preserves meaning, pronunciation, and voice.
+9. AquaSynth trains the utterance embedding encoder.
+10. AquaSynth feeds the utterance embedding to the synth driver.
+11. Compare rendered speech against human notes and reference takes when
+    present.
 
 The same fixture can carry accepted lines, rejected lines, audit projections,
 input vectors, downstream AquaSynth evaluation pointers, and notes about why a
diff --git a/examples/speech-training/tiny-panphon-v0.1/README.md b/examples/speech-training/tiny-panphon-v0.1/README.md
new file mode 100644
index 0000000..5f1c772
--- /dev/null
+++ b/examples/speech-training/tiny-panphon-v0.1/README.md
@@ -0,0 +1,30 @@
+# Tiny PanPhon v0.1 Speech Curriculum
+
+This directory is the first executable Weksa-to-AquaSynth speech handoff
+artifact.
+
+It is intentionally small: six pure IPA packets for `a`, `pa`, `ta`, `ka`,
+`sa`, and `ma`. Each packet uses
+`weksa.utterance_embedding_handoff.v0.1` and carries:
+
+- a 1024-float semantic text embedding reference, zeroed because these are pure
+  IPA fixtures;
+- an inline variable-length PanPhon-style feature sequence;
+- 32 Weksa-owned prosody/emphasis hints;
+- a 64-float Epiphany-compatible neutral character-state vector reference;
+- pending AquaSynth-owned 256-float phonetic realization and 64-float
+  utterance embedding lanes.
+
+The emitter is [tools/emit_tiny_panphon_handoffs.py](../../../tools/emit_tiny_panphon_handoffs.py).
+It uses only the Python standard library and does not define a Weksa runtime.
+
+Run it from the Weksa repo root:
+
+```powershell
+& 'C:\Users\Meta\.cache\codex-runtimes\codex-primary-runtime\dependencies\python\python.exe' tools\emit_tiny_panphon_handoffs.py
+```
+
+`batch.json` is the training entrypoint for AquaSynth. The individual packet
+files are stable seed fixtures; the PanPhon feature values are hand-authored
+for this six-phone crawl stage and should be regenerated from the canonical
+PanPhon library before Weksa expands coverage.
diff --git a/examples/speech-training/tiny-panphon-v0.1/alveolar-ta.json b/examples/speech-training/tiny-panphon-v0.1/alveolar-ta.json
new file mode 100644
index 0000000..56223ab
--- /dev/null
+++ b/examples/speech-training/tiny-panphon-v0.1/alveolar-ta.json
@@ -0,0 +1,249 @@
+{
+  "schema_version": "weksa.utterance_embedding_handoff.v0.1",
+  "packet_id": "tiny-panphon-v0.1/alveolar-ta",
+  "source_output_ref": "examples/speech-training/tiny-panphon-v0.1/README.md",
+  "speaker_agent_id": "neutral-human-baseline",
+  "text": {
+    "spoken_text": "ta",
+    "normalized_text": "ta",
+    "channel_note": "Pure IPA curriculum seed; semantic text embedding is intentionally zero."
+  },
+  "inputs": {
+    "speech_text_embedding": {
+      "model_id": "bge-m3:latest",
+      "dimensionality": 1024,
+      "values_ref": "vectors/zero-semantic-1024.json"
+    },
+    "panphon_sequence": {
+      "model_id": "panphon-style.v0.1.seed",
+      "source": "hand-authored seed phones for AquaSynth crawl-stage parity tests",
+      "ipa": "ta",
+      "feature_order": [
+        "syl",
+        "son",
+        "cons",
+        "cont",
+        "delrel",
+        "lat",
+        "nas",
+        "strid",
+        "voi",
+        "sg",
+        "cg",
+        "ant",
+        "cor",
+        "distr",
+        "lab",
+        "hi",
+        "lo",
+        "back",
+        "round",
+        "velaric",
+        "tense",
+        "long"
+      ],
+      "frames": [
+        {
+          "index": 0,
+          "phone": "t",
+          "features": [
+            -1.0,
+            -1.0,
+            1.0,
+            -1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            -1.0,
+            0.0,
+            0.0,
+            1.0,
+            1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0
+          ],
+          "markers": {
+            "stress": 0.0,
+            "length": 0.0,
+            "tone": 0.0,
+            "boundary": 0.0,
+            "duration_ms": 95
+          }
+        },
+        {
+          "index": 1,
+          "phone": "a",
+          "features": [
+            1.0,
+            1.0,
+            -1.0,
+            1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            1.0,
+            0.0,
+            -1.0,
+            0.0,
+            -1.0,
+            0.0
+          ],
+          "markers": {
+            "stress": 1.0,
+            "length": 0.0,
+            "tone": 0.0,
+            "boundary": 1.0,
+            "duration_ms": 180
+          }
+        }
+      ]
+    },
+    "prosody_emphasis_hints": {
+      "dimensionality": 32,
+      "labels": [
+        "mean_pitch_pressure",
+        "pitch_rise",
+        "pitch_fall",
+        "pitch_range",
+        "loudness_pressure",
+        "loudness_attack",
+        "loudness_release",
+        "speaking_rate",
+        "articulation_precision",
+        "pause_pressure",
+        "phrase_final_lengthening",
+        "stress_contrast",
+        "clippedness",
+        "breathiness",
+        "creak_pressure",
+        "smoothness",
+        "warmth",
+        "threat",
+        "urgency",
+        "hesitation",
+        "irony_dryness",
+        "tenderness",
+        "contempt",
+        "command_force",
+        "question_contour",
+        "exclamation_pressure",
+        "secrecy_low_projection",
+        "ritual_formality_pressure",
+        "playful_pressure",
+        "fatigue",
+        "emotional_containment",
+        "reserved"
+      ],
+      "values": [
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        -0.15,
+        0.35,
+        0.0,
+        0.0,
+        0.2,
+        0.0,
+        0.0,
+        0.0,
+        0.25,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0
+      ]
+    },
+    "character_state_vector": {
+      "source": "epiphany.agent_utterance_state.v0 neutral baseline",
+      "schema_ref": "E:/Projects/EpiphanyAgent/schemas/agent-utterance-state-schema.md",
+      "dimensionality": 64,
+      "values_ref": "vectors/neutral-character-64.json"
+    }
+  },
+  "phonetic_realization_embedding": {
+    "owner": "AquaSynth",
+    "model_id": "aquasynth.panphon_sequence_encoder.v0.1",
+    "dimensionality": 256,
+    "status": "pending_aquasynth_training_or_encoding",
+    "values_ref": null
+  },
+  "utterance_embedding": {
+    "owner": "AquaSynth",
+    "model_id": "aquasynth.utterance_embedding_encoder.v0.1",
+    "version": null,
+    "training_set": "tiny-panphon-v0.1",
+    "dimensionality": 64,
+    "status": "pending_aquasynth_training_or_encoding",
+    "values_ref": null
+  },
+  "audit_projection": {
+    "semantic_preservation": "No lexical semantics; preserve the requested IPA sound shape.",
+    "emphasis": "Single syllable baseline stress where a vowel exists.",
+    "prosody": "Neutral, slow, precise, no expressive contour.",
+    "character_pressure": "Neutral speaker baseline.",
+    "delivery_shape": "voiceless alveolar stop into open vowel"
+  },
+  "training_refs": {
+    "positive_examples": [
+      {
+        "kind": "reference_synth_prompt",
+        "engine": "eSpeak NG or equivalent baseline speech oracle",
+        "text": "ta"
+      }
+    ],
+    "negative_examples": []
+  },
+  "trace": {
+    "pipeline_receipts": [
+      {
+        "stage": "weksa_emit_tiny_panphon_handoff",
+        "decided_at_utc": "2026-05-20T00:00:00Z",
+        "latency_budget_ms": 10,
+        "observed_latency_ms": 0,
+        "confidence": 0.72
+      }
+    ],
+    "notes": [
+      "This fixture is a crawl-stage training seed, not a full English lowering artifact.",
+      "PanPhon-style features are hand-authored for the six seed phones until Weksa wires a canonical PanPhon dependency.",
+      "AquaSynth owns the learned 256-float phonetic realization embedding and 64-float utterance embedding."
+    ],
+    "uncertainties": [
+      "Feature values should be regenerated from the canonical PanPhon library before broad phoneme coverage.",
+      "Durations are seed timing hints, not measured reference audio."
+    ]
+  }
+}
diff --git a/examples/speech-training/tiny-panphon-v0.1/batch.json b/examples/speech-training/tiny-panphon-v0.1/batch.json
new file mode 100644
index 0000000..165e330
--- /dev/null
+++ b/examples/speech-training/tiny-panphon-v0.1/batch.json
@@ -0,0 +1,14 @@
+{
+  "schema_version": "weksa.utterance_handoff_batch.v0.1",
+  "batch_id": "tiny-panphon-v0.1",
+  "packet_schema_version": "weksa.utterance_embedding_handoff.v0.1",
+  "packet_refs": [
+    "open-vowel-a.json",
+    "bilabial-pa.json",
+    "alveolar-ta.json",
+    "velar-ka.json",
+    "sibilant-sa.json",
+    "nasal-ma.json"
+  ],
+  "purpose": "Initial AquaSynth parity curriculum for simple IPA sounds."
+}
diff --git a/examples/speech-training/tiny-panphon-v0.1/bilabial-pa.json b/examples/speech-training/tiny-panphon-v0.1/bilabial-pa.json
new file mode 100644
index 0000000..3927a0f
--- /dev/null
+++ b/examples/speech-training/tiny-panphon-v0.1/bilabial-pa.json
@@ -0,0 +1,249 @@
+{
+  "schema_version": "weksa.utterance_embedding_handoff.v0.1",
+  "packet_id": "tiny-panphon-v0.1/bilabial-pa",
+  "source_output_ref": "examples/speech-training/tiny-panphon-v0.1/README.md",
+  "speaker_agent_id": "neutral-human-baseline",
+  "text": {
+    "spoken_text": "pa",
+    "normalized_text": "pa",
+    "channel_note": "Pure IPA curriculum seed; semantic text embedding is intentionally zero."
+  },
+  "inputs": {
+    "speech_text_embedding": {
+      "model_id": "bge-m3:latest",
+      "dimensionality": 1024,
+      "values_ref": "vectors/zero-semantic-1024.json"
+    },
+    "panphon_sequence": {
+      "model_id": "panphon-style.v0.1.seed",
+      "source": "hand-authored seed phones for AquaSynth crawl-stage parity tests",
+      "ipa": "pa",
+      "feature_order": [
+        "syl",
+        "son",
+        "cons",
+        "cont",
+        "delrel",
+        "lat",
+        "nas",
+        "strid",
+        "voi",
+        "sg",
+        "cg",
+        "ant",
+        "cor",
+        "distr",
+        "lab",
+        "hi",
+        "lo",
+        "back",
+        "round",
+        "velaric",
+        "tense",
+        "long"
+      ],
+      "frames": [
+        {
+          "index": 0,
+          "phone": "p",
+          "features": [
+            -1.0,
+            -1.0,
+            1.0,
+            -1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            -1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0
+          ],
+          "markers": {
+            "stress": 0.0,
+            "length": 0.0,
+            "tone": 0.0,
+            "boundary": 0.0,
+            "duration_ms": 95
+          }
+        },
+        {
+          "index": 1,
+          "phone": "a",
+          "features": [
+            1.0,
+            1.0,
+            -1.0,
+            1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            1.0,
+            0.0,
+            -1.0,
+            0.0,
+            -1.0,
+            0.0
+          ],
+          "markers": {
+            "stress": 1.0,
+            "length": 0.0,
+            "tone": 0.0,
+            "boundary": 1.0,
+            "duration_ms": 180
+          }
+        }
+      ]
+    },
+    "prosody_emphasis_hints": {
+      "dimensionality": 32,
+      "labels": [
+        "mean_pitch_pressure",
+        "pitch_rise",
+        "pitch_fall",
+        "pitch_range",
+        "loudness_pressure",
+        "loudness_attack",
+        "loudness_release",
+        "speaking_rate",
+        "articulation_precision",
+        "pause_pressure",
+        "phrase_final_lengthening",
+        "stress_contrast",
+        "clippedness",
+        "breathiness",
+        "creak_pressure",
+        "smoothness",
+        "warmth",
+        "threat",
+        "urgency",
+        "hesitation",
+        "irony_dryness",
+        "tenderness",
+        "contempt",
+        "command_force",
+        "question_contour",
+        "exclamation_pressure",
+        "secrecy_low_projection",
+        "ritual_formality_pressure",
+        "playful_pressure",
+        "fatigue",
+        "emotional_containment",
+        "reserved"
+      ],
+      "values": [
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        -0.15,
+        0.35,
+        0.0,
+        0.0,
+        0.2,
+        0.0,
+        0.0,
+        0.0,
+        0.25,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0
+      ]
+    },
+    "character_state_vector": {
+      "source": "epiphany.agent_utterance_state.v0 neutral baseline",
+      "schema_ref": "E:/Projects/EpiphanyAgent/schemas/agent-utterance-state-schema.md",
+      "dimensionality": 64,
+      "values_ref": "vectors/neutral-character-64.json"
+    }
+  },
+  "phonetic_realization_embedding": {
+    "owner": "AquaSynth",
+    "model_id": "aquasynth.panphon_sequence_encoder.v0.1",
+    "dimensionality": 256,
+    "status": "pending_aquasynth_training_or_encoding",
+    "values_ref": null
+  },
+  "utterance_embedding": {
+    "owner": "AquaSynth",
+    "model_id": "aquasynth.utterance_embedding_encoder.v0.1",
+    "version": null,
+    "training_set": "tiny-panphon-v0.1",
+    "dimensionality": 64,
+    "status": "pending_aquasynth_training_or_encoding",
+    "values_ref": null
+  },
+  "audit_projection": {
+    "semantic_preservation": "No lexical semantics; preserve the requested IPA sound shape.",
+    "emphasis": "Single syllable baseline stress where a vowel exists.",
+    "prosody": "Neutral, slow, precise, no expressive contour.",
+    "character_pressure": "Neutral speaker baseline.",
+    "delivery_shape": "voiceless bilabial stop into open vowel"
+  },
+  "training_refs": {
+    "positive_examples": [
+      {
+        "kind": "reference_synth_prompt",
+        "engine": "eSpeak NG or equivalent baseline speech oracle",
+        "text": "pa"
+      }
+    ],
+    "negative_examples": []
+  },
+  "trace": {
+    "pipeline_receipts": [
+      {
+        "stage": "weksa_emit_tiny_panphon_handoff",
+        "decided_at_utc": "2026-05-20T00:00:00Z",
+        "latency_budget_ms": 10,
+        "observed_latency_ms": 0,
+        "confidence": 0.72
+      }
+    ],
+    "notes": [
+      "This fixture is a crawl-stage training seed, not a full English lowering artifact.",
+      "PanPhon-style features are hand-authored for the six seed phones until Weksa wires a canonical PanPhon dependency.",
+      "AquaSynth owns the learned 256-float phonetic realization embedding and 64-float utterance embedding."
+    ],
+    "uncertainties": [
+      "Feature values should be regenerated from the canonical PanPhon library before broad phoneme coverage.",
+      "Durations are seed timing hints, not measured reference audio."
+    ]
+  }
+}
diff --git a/examples/speech-training/tiny-panphon-v0.1/nasal-ma.json b/examples/speech-training/tiny-panphon-v0.1/nasal-ma.json
new file mode 100644
index 0000000..f17908c
--- /dev/null
+++ b/examples/speech-training/tiny-panphon-v0.1/nasal-ma.json
@@ -0,0 +1,249 @@
+{
+  "schema_version": "weksa.utterance_embedding_handoff.v0.1",
+  "packet_id": "tiny-panphon-v0.1/nasal-ma",
+  "source_output_ref": "examples/speech-training/tiny-panphon-v0.1/README.md",
+  "speaker_agent_id": "neutral-human-baseline",
+  "text": {
+    "spoken_text": "ma",
+    "normalized_text": "ma",
+    "channel_note": "Pure IPA curriculum seed; semantic text embedding is intentionally zero."
+  },
+  "inputs": {
+    "speech_text_embedding": {
+      "model_id": "bge-m3:latest",
+      "dimensionality": 1024,
+      "values_ref": "vectors/zero-semantic-1024.json"
+    },
+    "panphon_sequence": {
+      "model_id": "panphon-style.v0.1.seed",
+      "source": "hand-authored seed phones for AquaSynth crawl-stage parity tests",
+      "ipa": "ma",
+      "feature_order": [
+        "syl",
+        "son",
+        "cons",
+        "cont",
+        "delrel",
+        "lat",
+        "nas",
+        "strid",
+        "voi",
+        "sg",
+        "cg",
+        "ant",
+        "cor",
+        "distr",
+        "lab",
+        "hi",
+        "lo",
+        "back",
+        "round",
+        "velaric",
+        "tense",
+        "long"
+      ],
+      "frames": [
+        {
+          "index": 0,
+          "phone": "m",
+          "features": [
+            -1.0,
+            1.0,
+            1.0,
+            -1.0,
+            0.0,
+            0.0,
+            1.0,
+            0.0,
+            1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0
+          ],
+          "markers": {
+            "stress": 0.0,
+            "length": 0.0,
+            "tone": 0.0,
+            "boundary": 0.0,
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+        "exclamation_pressure",
+        "secrecy_low_projection",
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+      "values_ref": "vectors/neutral-character-64.json"
+    }
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+    "values_ref": null
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+    "status": "pending_aquasynth_training_or_encoding",
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+    "semantic_preservation": "No lexical semantics; preserve the requested IPA sound shape.",
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+    "character_pressure": "Neutral speaker baseline.",
+    "delivery_shape": "voiced bilabial nasal into open vowel"
+  },
+  "training_refs": {
+    "positive_examples": [
+      {
+        "kind": "reference_synth_prompt",
+        "engine": "eSpeak NG or equivalent baseline speech oracle",
+        "text": "ma"
+      }
+    ],
+    "negative_examples": []
+  },
+  "trace": {
+    "pipeline_receipts": [
+      {
+        "stage": "weksa_emit_tiny_panphon_handoff",
+        "decided_at_utc": "2026-05-20T00:00:00Z",
+        "latency_budget_ms": 10,
+        "observed_latency_ms": 0,
+        "confidence": 0.72
+      }
+    ],
+    "notes": [
+      "This fixture is a crawl-stage training seed, not a full English lowering artifact.",
+      "PanPhon-style features are hand-authored for the six seed phones until Weksa wires a canonical PanPhon dependency.",
+      "AquaSynth owns the learned 256-float phonetic realization embedding and 64-float utterance embedding."
+    ],
+    "uncertainties": [
+      "Feature values should be regenerated from the canonical PanPhon library before broad phoneme coverage.",
+      "Durations are seed timing hints, not measured reference audio."
+    ]
+  }
+}
diff --git a/examples/speech-training/tiny-panphon-v0.1/open-vowel-a.json b/examples/speech-training/tiny-panphon-v0.1/open-vowel-a.json
new file mode 100644
index 0000000..51b8a13
--- /dev/null
+++ b/examples/speech-training/tiny-panphon-v0.1/open-vowel-a.json
@@ -0,0 +1,214 @@
+{
+  "schema_version": "weksa.utterance_embedding_handoff.v0.1",
+  "packet_id": "tiny-panphon-v0.1/open-vowel-a",
+  "source_output_ref": "examples/speech-training/tiny-panphon-v0.1/README.md",
+  "speaker_agent_id": "neutral-human-baseline",
+  "text": {
+    "spoken_text": "a",
+    "normalized_text": "a",
+    "channel_note": "Pure IPA curriculum seed; semantic text embedding is intentionally zero."
+  },
+  "inputs": {
+    "speech_text_embedding": {
+      "model_id": "bge-m3:latest",
+      "dimensionality": 1024,
+      "values_ref": "vectors/zero-semantic-1024.json"
+    },
+    "panphon_sequence": {
+      "model_id": "panphon-style.v0.1.seed",
+      "source": "hand-authored seed phones for AquaSynth crawl-stage parity tests",
+      "ipa": "a",
+      "feature_order": [
+        "syl",
+        "son",
+        "cons",
+        "cont",
+        "delrel",
+        "lat",
+        "nas",
+        "strid",
+        "voi",
+        "sg",
+        "cg",
+        "ant",
+        "cor",
+        "distr",
+        "lab",
+        "hi",
+        "lo",
+        "back",
+        "round",
+        "velaric",
+        "tense",
+        "long"
+      ],
+      "frames": [
+        {
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+          "phone": "a",
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+          }
+        }
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+      "labels": [
+        "mean_pitch_pressure",
+        "pitch_rise",
+        "pitch_fall",
+        "pitch_range",
+        "loudness_pressure",
+        "loudness_attack",
+        "loudness_release",
+        "speaking_rate",
+        "articulation_precision",
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+        "phrase_final_lengthening",
+        "stress_contrast",
+        "clippedness",
+        "breathiness",
+        "creak_pressure",
+        "smoothness",
+        "warmth",
+        "threat",
+        "urgency",
+        "hesitation",
+        "irony_dryness",
+        "tenderness",
+        "contempt",
+        "command_force",
+        "question_contour",
+        "exclamation_pressure",
+        "secrecy_low_projection",
+        "ritual_formality_pressure",
+        "playful_pressure",
+        "fatigue",
+        "emotional_containment",
+        "reserved"
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+      "dimensionality": 64,
+      "values_ref": "vectors/neutral-character-64.json"
+    }
+  },
+  "phonetic_realization_embedding": {
+    "owner": "AquaSynth",
+    "model_id": "aquasynth.panphon_sequence_encoder.v0.1",
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+    "status": "pending_aquasynth_training_or_encoding",
+    "values_ref": null
+  },
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+    "status": "pending_aquasynth_training_or_encoding",
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+    "semantic_preservation": "No lexical semantics; preserve the requested IPA sound shape.",
+    "emphasis": "Single syllable baseline stress where a vowel exists.",
+    "prosody": "Neutral, slow, precise, no expressive contour.",
+    "character_pressure": "Neutral speaker baseline.",
+    "delivery_shape": "open low vowel baseline"
+  },
+  "training_refs": {
+    "positive_examples": [
+      {
+        "kind": "reference_synth_prompt",
+        "engine": "eSpeak NG or equivalent baseline speech oracle",
+        "text": "a"
+      }
+    ],
+    "negative_examples": []
+  },
+  "trace": {
+    "pipeline_receipts": [
+      {
+        "stage": "weksa_emit_tiny_panphon_handoff",
+        "decided_at_utc": "2026-05-20T00:00:00Z",
+        "latency_budget_ms": 10,
+        "observed_latency_ms": 0,
+        "confidence": 0.72
+      }
+    ],
+    "notes": [
+      "This fixture is a crawl-stage training seed, not a full English lowering artifact.",
+      "PanPhon-style features are hand-authored for the six seed phones until Weksa wires a canonical PanPhon dependency.",
+      "AquaSynth owns the learned 256-float phonetic realization embedding and 64-float utterance embedding."
+    ],
+    "uncertainties": [
+      "Feature values should be regenerated from the canonical PanPhon library before broad phoneme coverage.",
+      "Durations are seed timing hints, not measured reference audio."
+    ]
+  }
+}
diff --git a/examples/speech-training/tiny-panphon-v0.1/sibilant-sa.json b/examples/speech-training/tiny-panphon-v0.1/sibilant-sa.json
new file mode 100644
index 0000000..20cfe2d
--- /dev/null
+++ b/examples/speech-training/tiny-panphon-v0.1/sibilant-sa.json
@@ -0,0 +1,249 @@
+{
+  "schema_version": "weksa.utterance_embedding_handoff.v0.1",
+  "packet_id": "tiny-panphon-v0.1/sibilant-sa",
+  "source_output_ref": "examples/speech-training/tiny-panphon-v0.1/README.md",
+  "speaker_agent_id": "neutral-human-baseline",
+  "text": {
+    "spoken_text": "sa",
+    "normalized_text": "sa",
+    "channel_note": "Pure IPA curriculum seed; semantic text embedding is intentionally zero."
+  },
+  "inputs": {
+    "speech_text_embedding": {
+      "model_id": "bge-m3:latest",
+      "dimensionality": 1024,
+      "values_ref": "vectors/zero-semantic-1024.json"
+    },
+    "panphon_sequence": {
+      "model_id": "panphon-style.v0.1.seed",
+      "source": "hand-authored seed phones for AquaSynth crawl-stage parity tests",
+      "ipa": "sa",
+      "feature_order": [
+        "syl",
+        "son",
+        "cons",
+        "cont",
+        "delrel",
+        "lat",
+        "nas",
+        "strid",
+        "voi",
+        "sg",
+        "cg",
+        "ant",
+        "cor",
+        "distr",
+        "lab",
+        "hi",
+        "lo",
+        "back",
+        "round",
+        "velaric",
+        "tense",
+        "long"
+      ],
+      "frames": [
+        {
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+          "phone": "s",
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+            "duration_ms": 95
+          }
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+          }
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+      "dimensionality": 32,
+      "labels": [
+        "mean_pitch_pressure",
+        "pitch_rise",
+        "pitch_fall",
+        "pitch_range",
+        "loudness_pressure",
+        "loudness_attack",
+        "loudness_release",
+        "speaking_rate",
+        "articulation_precision",
+        "pause_pressure",
+        "phrase_final_lengthening",
+        "stress_contrast",
+        "clippedness",
+        "breathiness",
+        "creak_pressure",
+        "smoothness",
+        "warmth",
+        "threat",
+        "urgency",
+        "hesitation",
+        "irony_dryness",
+        "tenderness",
+        "contempt",
+        "command_force",
+        "question_contour",
+        "exclamation_pressure",
+        "secrecy_low_projection",
+        "ritual_formality_pressure",
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+      "dimensionality": 64,
+      "values_ref": "vectors/neutral-character-64.json"
+    }
+  },
+  "phonetic_realization_embedding": {
+    "owner": "AquaSynth",
+    "model_id": "aquasynth.panphon_sequence_encoder.v0.1",
+    "dimensionality": 256,
+    "status": "pending_aquasynth_training_or_encoding",
+    "values_ref": null
+  },
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+    "owner": "AquaSynth",
+    "model_id": "aquasynth.utterance_embedding_encoder.v0.1",
+    "version": null,
+    "training_set": "tiny-panphon-v0.1",
+    "dimensionality": 64,
+    "status": "pending_aquasynth_training_or_encoding",
+    "values_ref": null
+  },
+  "audit_projection": {
+    "semantic_preservation": "No lexical semantics; preserve the requested IPA sound shape.",
+    "emphasis": "Single syllable baseline stress where a vowel exists.",
+    "prosody": "Neutral, slow, precise, no expressive contour.",
+    "character_pressure": "Neutral speaker baseline.",
+    "delivery_shape": "voiceless alveolar sibilant into open vowel"
+  },
+  "training_refs": {
+    "positive_examples": [
+      {
+        "kind": "reference_synth_prompt",
+        "engine": "eSpeak NG or equivalent baseline speech oracle",
+        "text": "sa"
+      }
+    ],
+    "negative_examples": []
+  },
+  "trace": {
+    "pipeline_receipts": [
+      {
+        "stage": "weksa_emit_tiny_panphon_handoff",
+        "decided_at_utc": "2026-05-20T00:00:00Z",
+        "latency_budget_ms": 10,
+        "observed_latency_ms": 0,
+        "confidence": 0.72
+      }
+    ],
+    "notes": [
+      "This fixture is a crawl-stage training seed, not a full English lowering artifact.",
+      "PanPhon-style features are hand-authored for the six seed phones until Weksa wires a canonical PanPhon dependency.",
+      "AquaSynth owns the learned 256-float phonetic realization embedding and 64-float utterance embedding."
+    ],
+    "uncertainties": [
+      "Feature values should be regenerated from the canonical PanPhon library before broad phoneme coverage.",
+      "Durations are seed timing hints, not measured reference audio."
+    ]
+  }
+}
diff --git a/examples/speech-training/tiny-panphon-v0.1/vectors/neutral-character-64.json b/examples/speech-training/tiny-panphon-v0.1/vectors/neutral-character-64.json
new file mode 100644
index 0000000..45a0f1a
--- /dev/null
+++ b/examples/speech-training/tiny-panphon-v0.1/vectors/neutral-character-64.json
@@ -0,0 +1,136 @@
+{
+  "source": "epiphany.agent_utterance_state.v0 neutral baseline",
+  "dimensionality": 64,
+  "labels": [
+    "valence",
+    "arousal",
+    "dominance",
+    "urgency",
+    "anger",
+    "despair",
+    "sadness",
+    "fear",
+    "anxiety",
+    "disgust",
+    "contempt",
+    "annoyance",
+    "dismissal",
+    "flippancy",
+    "playfulness",
+    "irony",
+    "tenderness",
+    "warmth",
+    "joy",
+    "excitement",
+    "fatigue",
+    "guardedness",
+    "confidence",
+    "shame",
+    "pride",
+    "threat",
+    "secrecy",
+    "hesitation",
+    "emotionalContainment",
+    "thoughtPressure",
+    "reactionIntensity",
+    "commandForce",
+    "currentLoad",
+    "initiativeHeat",
+    "pendingTurn",
+    "cooldownPressure",
+    "reactionBias",
+    "interruptThreshold",
+    "initiativeSpeed",
+    "voiceBubbly",
+    "voiceDryness",
+    "voiceFormality",
+    "voiceDirectness",
+    "voiceIntensity",
+    "voiceWarmth",
+    "voicePrecision",
+    "voiceRitualRegister",
+    "presentationPushiness",
+    "presentationSelfFocus",
+    "presentationPlay",
+    "presentationCareDemand",
+    "behaviorWorkDrive",
+    "behaviorBoundaryDefense",
+    "behaviorPurityDrive",
+    "behaviorPatience",
+    "stableAgreeableness",
+    "stableConscientiousness",
+    "stableNeuroticism",
+    "stableOpenness",
+    "organizationCoherence",
+    "organizationRigidity",
+    "slowTraitReserved62",
+    "slowTraitReserved63",
+    "slowTraitReserved64"
+  ],
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+}
diff --git a/examples/speech-training/tiny-panphon-v0.1/vectors/zero-semantic-1024.json b/examples/speech-training/tiny-panphon-v0.1/vectors/zero-semantic-1024.json
new file mode 100644
index 0000000..fac6cc0
--- /dev/null
+++ b/examples/speech-training/tiny-panphon-v0.1/vectors/zero-semantic-1024.json
@@ -0,0 +1,1031 @@
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+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0
+  ],
+  "reason": "Pure IPA fixture; semantic text channel is intentionally silent."
+}
diff --git a/examples/speech-training/tiny-panphon-v0.1/velar-ka.json b/examples/speech-training/tiny-panphon-v0.1/velar-ka.json
new file mode 100644
index 0000000..2446a6c
--- /dev/null
+++ b/examples/speech-training/tiny-panphon-v0.1/velar-ka.json
@@ -0,0 +1,249 @@
+{
+  "schema_version": "weksa.utterance_embedding_handoff.v0.1",
+  "packet_id": "tiny-panphon-v0.1/velar-ka",
+  "source_output_ref": "examples/speech-training/tiny-panphon-v0.1/README.md",
+  "speaker_agent_id": "neutral-human-baseline",
+  "text": {
+    "spoken_text": "ka",
+    "normalized_text": "ka",
+    "channel_note": "Pure IPA curriculum seed; semantic text embedding is intentionally zero."
+  },
+  "inputs": {
+    "speech_text_embedding": {
+      "model_id": "bge-m3:latest",
+      "dimensionality": 1024,
+      "values_ref": "vectors/zero-semantic-1024.json"
+    },
+    "panphon_sequence": {
+      "model_id": "panphon-style.v0.1.seed",
+      "source": "hand-authored seed phones for AquaSynth crawl-stage parity tests",
+      "ipa": "ka",
+      "feature_order": [
+        "syl",
+        "son",
+        "cons",
+        "cont",
+        "delrel",
+        "lat",
+        "nas",
+        "strid",
+        "voi",
+        "sg",
+        "cg",
+        "ant",
+        "cor",
+        "distr",
+        "lab",
+        "hi",
+        "lo",
+        "back",
+        "round",
+        "velaric",
+        "tense",
+        "long"
+      ],
+      "frames": [
+        {
+          "index": 0,
+          "phone": "k",
+          "features": [
+            -1.0,
+            -1.0,
+            1.0,
+            -1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            -1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0
+          ],
+          "markers": {
+            "stress": 0.0,
+            "length": 0.0,
+            "tone": 0.0,
+            "boundary": 0.0,
+            "duration_ms": 95
+          }
+        },
+        {
+          "index": 1,
+          "phone": "a",
+          "features": [
+            1.0,
+            1.0,
+            -1.0,
+            1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            1.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            0.0,
+            1.0,
+            0.0,
+            -1.0,
+            0.0,
+            -1.0,
+            0.0
+          ],
+          "markers": {
+            "stress": 1.0,
+            "length": 0.0,
+            "tone": 0.0,
+            "boundary": 1.0,
+            "duration_ms": 180
+          }
+        }
+      ]
+    },
+    "prosody_emphasis_hints": {
+      "dimensionality": 32,
+      "labels": [
+        "mean_pitch_pressure",
+        "pitch_rise",
+        "pitch_fall",
+        "pitch_range",
+        "loudness_pressure",
+        "loudness_attack",
+        "loudness_release",
+        "speaking_rate",
+        "articulation_precision",
+        "pause_pressure",
+        "phrase_final_lengthening",
+        "stress_contrast",
+        "clippedness",
+        "breathiness",
+        "creak_pressure",
+        "smoothness",
+        "warmth",
+        "threat",
+        "urgency",
+        "hesitation",
+        "irony_dryness",
+        "tenderness",
+        "contempt",
+        "command_force",
+        "question_contour",
+        "exclamation_pressure",
+        "secrecy_low_projection",
+        "ritual_formality_pressure",
+        "playful_pressure",
+        "fatigue",
+        "emotional_containment",
+        "reserved"
+      ],
+      "values": [
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        -0.15,
+        0.35,
+        0.0,
+        0.0,
+        0.2,
+        0.0,
+        0.0,
+        0.0,
+        0.25,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0
+      ]
+    },
+    "character_state_vector": {
+      "source": "epiphany.agent_utterance_state.v0 neutral baseline",
+      "schema_ref": "E:/Projects/EpiphanyAgent/schemas/agent-utterance-state-schema.md",
+      "dimensionality": 64,
+      "values_ref": "vectors/neutral-character-64.json"
+    }
+  },
+  "phonetic_realization_embedding": {
+    "owner": "AquaSynth",
+    "model_id": "aquasynth.panphon_sequence_encoder.v0.1",
+    "dimensionality": 256,
+    "status": "pending_aquasynth_training_or_encoding",
+    "values_ref": null
+  },
+  "utterance_embedding": {
+    "owner": "AquaSynth",
+    "model_id": "aquasynth.utterance_embedding_encoder.v0.1",
+    "version": null,
+    "training_set": "tiny-panphon-v0.1",
+    "dimensionality": 64,
+    "status": "pending_aquasynth_training_or_encoding",
+    "values_ref": null
+  },
+  "audit_projection": {
+    "semantic_preservation": "No lexical semantics; preserve the requested IPA sound shape.",
+    "emphasis": "Single syllable baseline stress where a vowel exists.",
+    "prosody": "Neutral, slow, precise, no expressive contour.",
+    "character_pressure": "Neutral speaker baseline.",
+    "delivery_shape": "voiceless velar stop into open vowel"
+  },
+  "training_refs": {
+    "positive_examples": [
+      {
+        "kind": "reference_synth_prompt",
+        "engine": "eSpeak NG or equivalent baseline speech oracle",
+        "text": "ka"
+      }
+    ],
+    "negative_examples": []
+  },
+  "trace": {
+    "pipeline_receipts": [
+      {
+        "stage": "weksa_emit_tiny_panphon_handoff",
+        "decided_at_utc": "2026-05-20T00:00:00Z",
+        "latency_budget_ms": 10,
+        "observed_latency_ms": 0,
+        "confidence": 0.72
+      }
+    ],
+    "notes": [
+      "This fixture is a crawl-stage training seed, not a full English lowering artifact.",
+      "PanPhon-style features are hand-authored for the six seed phones until Weksa wires a canonical PanPhon dependency.",
+      "AquaSynth owns the learned 256-float phonetic realization embedding and 64-float utterance embedding."
+    ],
+    "uncertainties": [
+      "Feature values should be regenerated from the canonical PanPhon library before broad phoneme coverage.",
+      "Durations are seed timing hints, not measured reference audio."
+    ]
+  }
+}
diff --git a/schemas/utterance-embedding-handoff.md b/schemas/utterance-embedding-handoff.md
index 98f2700..b6d669f 100644
--- a/schemas/utterance-embedding-handoff.md
+++ b/schemas/utterance-embedding-handoff.md
@@ -64,3 +64,9 @@ The v0.1 phonetic channel uses PanPhon-style articulatory features as its
 per-phone base representation. Weksa supplies that sequence evidence. AquaSynth
 owns the learned compression from variable-length PanPhon sequence into the
 256-float `phonetic_realization_embedding`.
+
+The first machine-readable seed batch lives at
+`examples/speech-training/tiny-panphon-v0.1/batch.json`. It is the minimal
+artifact AquaSynth should consume before broader English or alien pronunciation
+coverage: six pure IPA packets with fixed vector widths, inline PanPhon-style
+frames, and pending AquaSynth-owned learned outputs.
diff --git a/state/map.yaml b/state/map.yaml
index ca6a36e..04039c8 100644
--- a/state/map.yaml
+++ b/state/map.yaml
@@ -12,8 +12,9 @@ objective:
     Create a durable workspace where Weksa can develop from a persistent map
     before runtime architecture decisions are made.
   current: >
-    Define the first lowering target: project interlingua through character
-    agent state into flavored English dialogue.
+    Emit concrete v0.1 utterance handoff artifacts for AquaSynth's first
+    speech-training curriculum while keeping Weksa's ownership limited to
+    inspected inputs.
 
 constraints:
   - Runtime implementation language is undecided.
@@ -227,6 +228,11 @@ landed_baseline:
   - Nibu lowering target note.
   - First English pronunciation plan fixture for Nibu proof output.
   - First toy utterance embedding handoff fixture for Nibu proof output.
+  - First executable utterance handoff emitter at
+    `tools/emit_tiny_panphon_handoffs.py`.
+  - First machine-readable AquaSynth speech-training seed batch at
+    `examples/speech-training/tiny-panphon-v0.1/batch.json`, covering pure IPA
+    `a`, `pa`, `ta`, `ka`, `sa`, and `ma` with fixed v0.1 vector widths.
   - Weksa-to-AquaSynth utterance embedding handoff v0.1 fixes the training
     vector contract: 1024-float `bge-m3:latest` speech text embedding,
     variable-length PanPhon sequence evidence, a 256-float AquaSynth-owned
diff --git a/tools/emit_tiny_panphon_handoffs.py b/tools/emit_tiny_panphon_handoffs.py
new file mode 100644
index 0000000..271b97a
--- /dev/null
+++ b/tools/emit_tiny_panphon_handoffs.py
@@ -0,0 +1,381 @@
+#!/usr/bin/env python3
+"""Emit tiny v0.1 utterance handoff fixtures for AquaSynth speech training.
+
+This is intentionally not a Weksa runtime. It is a deterministic artifact
+emitter for the first crawl-stage curriculum: simple IPA syllables with
+PanPhon-style feature frames, fixed-width Weksa/Epiphany input vectors, and
+pending AquaSynth-owned learned outputs.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[1]
+OUT = ROOT / "examples" / "speech-training" / "tiny-panphon-v0.1"
+VECTORS = OUT / "vectors"
+
+SCHEMA_VERSION = "weksa.utterance_embedding_handoff.v0.1"
+DECIDED_AT_UTC = "2026-05-20T00:00:00Z"
+
+FEATURE_ORDER = [
+    "syl",
+    "son",
+    "cons",
+    "cont",
+    "delrel",
+    "lat",
+    "nas",
+    "strid",
+    "voi",
+    "sg",
+    "cg",
+    "ant",
+    "cor",
+    "distr",
+    "lab",
+    "hi",
+    "lo",
+    "back",
+    "round",
+    "velaric",
+    "tense",
+    "long",
+]
+
+PROSODY_HINT_LABELS = [
+    "mean_pitch_pressure",
+    "pitch_rise",
+    "pitch_fall",
+    "pitch_range",
+    "loudness_pressure",
+    "loudness_attack",
+    "loudness_release",
+    "speaking_rate",
+    "articulation_precision",
+    "pause_pressure",
+    "phrase_final_lengthening",
+    "stress_contrast",
+    "clippedness",
+    "breathiness",
+    "creak_pressure",
+    "smoothness",
+    "warmth",
+    "threat",
+    "urgency",
+    "hesitation",
+    "irony_dryness",
+    "tenderness",
+    "contempt",
+    "command_force",
+    "question_contour",
+    "exclamation_pressure",
+    "secrecy_low_projection",
+    "ritual_formality_pressure",
+    "playful_pressure",
+    "fatigue",
+    "emotional_containment",
+    "reserved",
+]
+
+CHARACTER_STATE_LABELS = [
+    "valence",
+    "arousal",
+    "dominance",
+    "urgency",
+    "anger",
+    "despair",
+    "sadness",
+    "fear",
+    "anxiety",
+    "disgust",
+    "contempt",
+    "annoyance",
+    "dismissal",
+    "flippancy",
+    "playfulness",
+    "irony",
+    "tenderness",
+    "warmth",
+    "joy",
+    "excitement",
+    "fatigue",
+    "guardedness",
+    "confidence",
+    "shame",
+    "pride",
+    "threat",
+    "secrecy",
+    "hesitation",
+    "emotionalContainment",
+    "thoughtPressure",
+    "reactionIntensity",
+    "commandForce",
+    "currentLoad",
+    "initiativeHeat",
+    "pendingTurn",
+    "cooldownPressure",
+    "reactionBias",
+    "interruptThreshold",
+    "initiativeSpeed",
+    "voiceBubbly",
+    "voiceDryness",
+    "voiceFormality",
+    "voiceDirectness",
+    "voiceIntensity",
+    "voiceWarmth",
+    "voicePrecision",
+    "voiceRitualRegister",
+    "presentationPushiness",
+    "presentationSelfFocus",
+    "presentationPlay",
+    "presentationCareDemand",
+    "behaviorWorkDrive",
+    "behaviorBoundaryDefense",
+    "behaviorPurityDrive",
+    "behaviorPatience",
+    "stableAgreeableness",
+    "stableConscientiousness",
+    "stableNeuroticism",
+    "stableOpenness",
+    "organizationCoherence",
+    "organizationRigidity",
+    "slowTraitReserved62",
+    "slowTraitReserved63",
+    "slowTraitReserved64",
+]
+
+PHONE_FEATURES = {
+    "a": {
+        "syl": 1,
+        "son": 1,
+        "cons": -1,
+        "cont": 1,
+        "voi": 1,
+        "lo": 1,
+        "round": -1,
+        "tense": -1,
+    },
+    "p": {
+        "syl": -1,
+        "son": -1,
+        "cons": 1,
+        "cont": -1,
+        "voi": -1,
+        "lab": 1,
+    },
+    "t": {
+        "syl": -1,
+        "son": -1,
+        "cons": 1,
+        "cont": -1,
+        "voi": -1,
+        "ant": 1,
+        "cor": 1,
+    },
+    "k": {
+        "syl": -1,
+        "son": -1,
+        "cons": 1,
+        "cont": -1,
+        "voi": -1,
+        "back": 1,
+    },
+    "s": {
+        "syl": -1,
+        "son": -1,
+        "cons": 1,
+        "cont": 1,
+        "strid": 1,
+        "voi": -1,
+        "ant": 1,
+        "cor": 1,
+    },
+    "m": {
+        "syl": -1,
+        "son": 1,
+        "cons": 1,
+        "cont": -1,
+        "nas": 1,
+        "voi": 1,
+        "lab": 1,
+    },
+}
+
+UTTERANCES = [
+    ("open-vowel-a", "a", ["a"], "open low vowel baseline"),
+    ("bilabial-pa", "pa", ["p", "a"], "voiceless bilabial stop into open vowel"),
+    ("alveolar-ta", "ta", ["t", "a"], "voiceless alveolar stop into open vowel"),
+    ("velar-ka", "ka", ["k", "a"], "voiceless velar stop into open vowel"),
+    ("sibilant-sa", "sa", ["s", "a"], "voiceless alveolar sibilant into open vowel"),
+    ("nasal-ma", "ma", ["m", "a"], "voiced bilabial nasal into open vowel"),
+]
+
+
+def feature_vector(phone: str) -> list[float]:
+    features = PHONE_FEATURES[phone]
+    return [float(features.get(name, 0)) for name in FEATURE_ORDER]
+
+
+def frame(phone: str, index: int, count: int) -> dict:
+    is_vowel = PHONE_FEATURES[phone].get("syl") == 1
+    duration_ms = 180 if is_vowel else 95
+    return {
+        "index": index,
+        "phone": phone,
+        "features": feature_vector(phone),
+        "markers": {
+            "stress": 1.0 if is_vowel else 0.0,
+            "length": 0.0,
+            "tone": 0.0,
+            "boundary": 1.0 if index == count - 1 else 0.0,
+            "duration_ms": duration_ms,
+        },
+    }
+
+
+def write_json(path: Path, value: object) -> None:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text(json.dumps(value, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+
+
+def packet(packet_id: str, ipa: str, phones: list[str], note: str) -> dict:
+    prosody_values = [0.0] * 32
+    prosody_values[7] = -0.15
+    prosody_values[8] = 0.35
+    prosody_values[11] = 0.2
+    prosody_values[15] = 0.25
+
+    return {
+        "schema_version": SCHEMA_VERSION,
+        "packet_id": f"tiny-panphon-v0.1/{packet_id}",
+        "source_output_ref": "examples/speech-training/tiny-panphon-v0.1/README.md",
+        "speaker_agent_id": "neutral-human-baseline",
+        "text": {
+            "spoken_text": ipa,
+            "normalized_text": ipa,
+            "channel_note": "Pure IPA curriculum seed; semantic text embedding is intentionally zero.",
+        },
+        "inputs": {
+            "speech_text_embedding": {
+                "model_id": "bge-m3:latest",
+                "dimensionality": 1024,
+                "values_ref": "vectors/zero-semantic-1024.json",
+            },
+            "panphon_sequence": {
+                "model_id": "panphon-style.v0.1.seed",
+                "source": "hand-authored seed phones for AquaSynth crawl-stage parity tests",
+                "ipa": ipa,
+                "feature_order": FEATURE_ORDER,
+                "frames": [frame(phone, i, len(phones)) for i, phone in enumerate(phones)],
+            },
+            "prosody_emphasis_hints": {
+                "dimensionality": 32,
+                "labels": PROSODY_HINT_LABELS,
+                "values": prosody_values,
+            },
+            "character_state_vector": {
+                "source": "epiphany.agent_utterance_state.v0 neutral baseline",
+                "schema_ref": "E:/Projects/EpiphanyAgent/schemas/agent-utterance-state-schema.md",
+                "dimensionality": 64,
+                "values_ref": "vectors/neutral-character-64.json",
+            },
+        },
+        "phonetic_realization_embedding": {
+            "owner": "AquaSynth",
+            "model_id": "aquasynth.panphon_sequence_encoder.v0.1",
+            "dimensionality": 256,
+            "status": "pending_aquasynth_training_or_encoding",
+            "values_ref": None,
+        },
+        "utterance_embedding": {
+            "owner": "AquaSynth",
+            "model_id": "aquasynth.utterance_embedding_encoder.v0.1",
+            "version": None,
+            "training_set": "tiny-panphon-v0.1",
+            "dimensionality": 64,
+            "status": "pending_aquasynth_training_or_encoding",
+            "values_ref": None,
+        },
+        "audit_projection": {
+            "semantic_preservation": "No lexical semantics; preserve the requested IPA sound shape.",
+            "emphasis": "Single syllable baseline stress where a vowel exists.",
+            "prosody": "Neutral, slow, precise, no expressive contour.",
+            "character_pressure": "Neutral speaker baseline.",
+            "delivery_shape": note,
+        },
+        "training_refs": {
+            "positive_examples": [
+                {
+                    "kind": "reference_synth_prompt",
+                    "engine": "eSpeak NG or equivalent baseline speech oracle",
+                    "text": ipa,
+                }
+            ],
+            "negative_examples": [],
+        },
+        "trace": {
+            "pipeline_receipts": [
+                {
+                    "stage": "weksa_emit_tiny_panphon_handoff",
+                    "decided_at_utc": DECIDED_AT_UTC,
+                    "latency_budget_ms": 10,
+                    "observed_latency_ms": 0,
+                    "confidence": 0.72,
+                }
+            ],
+            "notes": [
+                "This fixture is a crawl-stage training seed, not a full English lowering artifact.",
+                "PanPhon-style features are hand-authored for the six seed phones until Weksa wires a canonical PanPhon dependency.",
+                "AquaSynth owns the learned 256-float phonetic realization embedding and 64-float utterance embedding.",
+            ],
+            "uncertainties": [
+                "Feature values should be regenerated from the canonical PanPhon library before broad phoneme coverage.",
+                "Durations are seed timing hints, not measured reference audio.",
+            ],
+        },
+    }
+
+
+def emit() -> None:
+    write_json(
+        VECTORS / "zero-semantic-1024.json",
+        {
+            "model_id": "bge-m3:latest",
+            "dimensionality": 1024,
+            "values": [0.0] * 1024,
+            "reason": "Pure IPA fixture; semantic text channel is intentionally silent.",
+        },
+    )
+    write_json(
+        VECTORS / "neutral-character-64.json",
+        {
+            "source": "epiphany.agent_utterance_state.v0 neutral baseline",
+            "dimensionality": 64,
+            "labels": CHARACTER_STATE_LABELS,
+            "values": [0.0] * 64,
+        },
+    )
+
+    packet_refs = []
+    for packet_id, ipa, phones, note in UTTERANCES:
+        path = OUT / f"{packet_id}.json"
+        write_json(path, packet(packet_id, ipa, phones, note))
+        packet_refs.append(path.name)
+
+    write_json(
+        OUT / "batch.json",
+        {
+            "schema_version": "weksa.utterance_handoff_batch.v0.1",
+            "batch_id": "tiny-panphon-v0.1",
+            "packet_schema_version": SCHEMA_VERSION,
+            "packet_refs": packet_refs,
+            "purpose": "Initial AquaSynth parity curriculum for simple IPA sounds.",
+        },
+    )
+
+
+if __name__ == "__main__":
+    emit()