diff --git a/.gitattributes b/.gitattributes
index bed0738c7eeb449bca98b5d2f33c89a1ee56349a..5363338f33c0abeed03228c64a1bcaa9b2e3f922 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1,60 +1,2 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.avro filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.lz4 filter=lfs diff=lfs merge=lfs -text
-*.mds filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
 *.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
-*.flac filter=lfs diff=lfs merge=lfs -text
-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
-*.wav filter=lfs diff=lfs merge=lfs -text
-# Image files - uncompressed
-*.bmp filter=lfs diff=lfs merge=lfs -text
-*.gif filter=lfs diff=lfs merge=lfs -text
 *.png filter=lfs diff=lfs merge=lfs -text
-*.tiff filter=lfs diff=lfs merge=lfs -text
-# Image files - compressed
-*.jpg filter=lfs diff=lfs merge=lfs -text
-*.jpeg filter=lfs diff=lfs merge=lfs -text
-*.webp filter=lfs diff=lfs merge=lfs -text
-# Video files - compressed
-*.mp4 filter=lfs diff=lfs merge=lfs -text
-*.webm filter=lfs diff=lfs merge=lfs -text
diff --git a/.gitignore b/.gitignore
deleted file mode 100644
index 73c7978d51a616bbe61eb0818b58de2fd2ba85eb..0000000000000000000000000000000000000000
--- a/.gitignore
+++ /dev/null
@@ -1,5 +0,0 @@
-__pycache__/
-*.py[cod]
-.pytest_cache/
-.ruff_cache/
-.DS_Store
diff --git a/.python-version b/.python-version
deleted file mode 100644
index 0cf960df58f3c12fadffb149e0ee06bb63111f41..0000000000000000000000000000000000000000
--- a/.python-version
+++ /dev/null
@@ -1 +0,0 @@
-3.13.14
diff --git a/CITATION.cff b/CITATION.cff
index e042e67b15cdfe8e99bb122a4a0553e3d798e591..86d1f6079450dcccc82ae2d5a735db4bc24fc5bc 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -1,11 +1,11 @@
 cff-version: 1.2.0
 message: >-
-  If you use the PixCell Dataset,
-  please cite this dataset and the accompanying PixCell project.
+  If you use the PixCell Dataset, please cite this dataset and the
+  accompanying PixCell project.
 title: "PixCell Dataset: Representation-First Image-to-Code Curriculum"
 type: dataset
-version: depth-v1
-date-released: 2026-07-26
+version: 2.0.0
+date-released: 2026-07-27
 authors:
   - family-names: Agarwal
     given-names: Aadarsh
diff --git a/README.md b/README.md
index 17599e2de1511b986b883811dbb5f8b7a7bc33f5..a4bbc61b1b3cac64d03a2a122ea895cd2d3b590c 100644
--- a/README.md
+++ b/README.md
@@ -3,107 +3,49 @@ pretty_name: "PixCell Dataset"
 license: mit
 language:
   - en
-  - code
-annotations_creators:
-  - expert-generated
-  - machine-generated
-source_datasets:
-  - original
 task_categories:
   - image-text-to-text
 tags:
-  - image
-  - text
-  - code
-  - python
+  - image-to-code
   - code-generation
   - vision-language
   - photonics
   - gds
   - gdsfactory
-  - image-to-code
-  - multimodal
   - synthetic
   - curriculum-learning
-  - datasets
 size_categories:
   - 1K<n<10K
 configs:
-  - config_name: all
+  - config_name: depth
     default: true
     data_files:
       - split: train
-        path:
-          - data/l0/train-*.parquet
-          - data/l1/train-*.parquet
-          - data/l2/train-*.parquet
-          - data/l3/train-*.parquet
-          - data/l4/train-*.parquet
-  - config_name: core-v1
-    data_files:
-      - split: train
-        path:
-          - data/l0/train-*.parquet
-          - data/l1/train-*.parquet
-          - data/l2/train-*.parquet
-          - data/l3/train-*.parquet
-          - data/l4/train-*.parquet
-  - config_name: l0
-    data_files:
-      - split: train
-        path: data/l0/train-*.parquet
-  - config_name: l1
-    data_files:
-      - split: train
-        path: data/l1/train-*.parquet
-  - config_name: l2
-    data_files:
-      - split: train
-        path: data/l2/train-*.parquet
-  - config_name: l3
-    data_files:
-      - split: train
-        path: data/l3/train-*.parquet
-  - config_name: l4
+        path: depth/data/train-*.parquet
+      - split: validation
+        path: depth/data/validation-*.parquet
+  - config_name: core
     data_files:
       - split: train
-        path: data/l4/train-*.parquet
-  - config_name: depth-v1
+        path: core/data/train-*.parquet
+  - config_name: references
     data_files:
       - split: train
-        path: depth-v1/data/train-*.parquet
+        path: references/data/train-*.parquet
       - split: validation
-        path: depth-v1/data/validation-*.parquet
+        path: references/data/validation-*.parquet
 dataset_info:
-  - config_name: all
+  - config_name: depth
     splits:
       - name: train
-        num_examples: 738
-  - config_name: core-v1
+        num_examples: 3468
+      - name: validation
+        num_examples: 1092
+  - config_name: core
     splits:
       - name: train
         num_examples: 738
-  - config_name: l0
-    splits:
-      - name: train
-        num_examples: 177
-  - config_name: l1
-    splits:
-      - name: train
-        num_examples: 215
-  - config_name: l2
-    splits:
-      - name: train
-        num_examples: 118
-  - config_name: l3
-    splits:
-      - name: train
-        num_examples: 120
-  - config_name: l4
-    splits:
-      - name: train
-        num_examples: 108
-  - config_name: depth-v1
+  - config_name: references
     splits:
       - name: train
         num_examples: 3468
@@ -113,210 +55,136 @@ dataset_info:
 
 # PixCell Dataset
 
-The PixCell Dataset is a verified image-to-code curriculum for photonic
-geometry. Each row pairs a high-visibility component image and physical
-footprint context with a complete primitive-only GDSFactory program.
+PixCell is a verified image-to-code curriculum for reconstructing photonic
+geometry as primitive-only GDSFactory Python programs. Each model row contains
+a high-visibility component image, its physical footprint, and an audited
+program.
 
-## Choose a configuration
+[Core curriculum gallery](assets/core.png) |
+[Depth representation overview](assets/depth.png)
 
-| Configuration | Best for | Rows | Splits |
-|---|---|---:|---|
-| `core-v1` | Curriculum training and compact task sampling | 738 | `train`: 738 |
-| `depth-v1` | Image-to-code SFT and parameter recovery | 4,560 | `train`: 3,468, `validation`: 1,092 |
-| `l0` through `l4` | Individual stages of the core curriculum | 108 to 215 | `train` |
+## Configurations
 
-`all` is the default compatibility alias for `core-v1`. Versioned work should
-pass both the configuration and matching revision.
+| Configuration | Rows | Purpose |
+|---|---:|---|
+| `depth` | 4,560 | Default corpus for supervised training and parameter recovery |
+| `core` | 738 | Compact L0 to L4 curriculum with 547 anchors and 191 supporting rows |
+| `references` | 4,560 | Target rasters, calibration, lineage, and verifier metadata |
 
-[Core gallery](galleries/all.png), [L0](galleries/l0.png),
-[L1](galleries/l1.png), [L2](galleries/l2.png),
-[L3](galleries/l3.png), [L4](galleries/l4.png),
-[Depth overview](depth-v1/galleries/overview.png)
+`core` is an exact subset of `depth/train`. `references` follows the same
+train and validation split as `depth` and joins through `opaque_id`.
 
 ## Load
 
-```bash
-pip install "datasets[vision]"
-```
-
 ```python
 from datasets import load_dataset
 
+depth = load_dataset(
+    "qpaig-mit/pixcell",
+    "depth",
+    revision="v2.0.0",
+)
+
 core = load_dataset(
     "qpaig-mit/pixcell",
-    "core-v1",
-    revision="core-v1",
+    "core",
+    revision="v2.0.0",
     split="train",
 )
 
-depth = load_dataset(
+references = load_dataset(
     "qpaig-mit/pixcell",
-    "depth-v1",
-    revision="depth-v1",
+    "references",
+    revision="v2.0.0",
 )
-
-row = core[0]
-row["image"]          # exact model input
-row["instruction"]    # footprint and display-scale context
-row["code"]           # supervised program
-row["target_image"]   # canonical physical-aspect raster
-row["footprint_um"]   # physical width and height
 ```
 
-The Parquet files load directly through `datasets`.
+## Training contract
 
-## Curriculum
+| Role | Fields |
+|---|---|
+| Model observation | `image`, `footprint_um` |
+| Supervised target | `code` |
+| Sampling and curriculum | `level`, `curriculum_order`, `representation_id`, `leakage_group_id`, `variation_role`, `realization_slot`, `is_core` |
+| Evaluator reference | the matching row from `references` |
 
-The five levels progress from the permitted primitive catalog to complete
-photonic components.
+The dataset stores no per-row prompt. Training code combines the image and
+footprint with its selected programming contract. Sampling fields organize
+batches and are model-visible only if a training pipeline explicitly includes
+them.
 
-| Level | Rows | Representations | Contents |
-|---|---:|---:|---|
-| **L0: primitives** | 177 | 93 | The 22-item primitive catalog, constructor modes, useful orientations, and scale calibration. |
-| **L1: operations** | 215 | 127 | Translation, rotation, reflection, alignment, spacing, connection, path construction, Booleans, repetition, arrays, and routing. |
-| **L2: compositions** | 118 | 99 | Small relational assemblies, connected chains, branches, repeated carriers, arrays, and radial banks. |
-| **L3: structures** | 120 | 120 | Authored multi-zone systems with routes, branches, defects, repeated media, and cyclic organization. |
-| **L4: components** | 108 | 108 | Couplers, MMIs, splitters, interferometers, resonators, crossings, gratings, cavities, converters, and free-propagation structures. |
+The maximum-visibility image preserves topology and within-axis proportions.
+The footprint supplies the physical width and height. The `references`
+configuration supplies the canonical physical-aspect raster and calibration
+used by geometry evaluators. Keep `references` out of model prompts.
+Stored calibration uses the renderer's analytic bounding box. A bbox inferred
+from thresholded antialiased pixels can differ by at most one pixel.
 
-`depth-v1` retains the complete core and adds seven controlled geometry
-settings to 546 representation anchors.
+`opaque_id` is a stable join key derived from the v1 source ID. It is not an
+anonymization mechanism.
 
 ## Split design
 
-The split holds out parameter settings within known representations.
-
-| Split | Contents | Rows |
+| Split | Construction | Rows |
 |---|---|---:|
-| `train` | All 738 core rows plus five new settings for each of 546 expanded representations | 3,468 |
-| `validation` | Two further settings for each expanded representation | 1,092 |
+| `train` | 738 core rows plus five additional settings for 546 representations | 3,468 |
+| `validation` | Two held-out settings for each expanded representation | 1,092 |
 
-```text
-train      738 + (5 * 546) = 3,468
-validation         2 * 546 = 1,092
-```
+Validation measures parameter recovery within known representations. Every
+representation is present in training.
 
-Training receives the anchors and most controlled settings. Validation receives
-a fixed parameter holdout for every expanded representation. This gives a
-76/24 training-to-validation ratio and keeps all 547 representations available
-during training.
+## Curriculum
 
-Exact image-plus-instruction pairs and code hashes stay unique across the two
-splits. `leakage_group_id` records related aliases and dependencies. Use that
-field to construct a group-disjoint split for unseen-representation studies.
+| Level | Rows | Representations | Contents |
+|---|---:|---:|---|
+| L0 | 177 | 93 | Primitive catalog, constructor modes, orientation, and scale |
+| L1 | 215 | 127 | Placement, transforms, alignment, connection, repetition, and routing |
+| L2 | 118 | 99 | Relational assemblies, chains, branches, arrays, and radial banks |
+| L3 | 120 | 120 | Multi-zone structures, repeated media, defects, and cyclic organization |
+| L4 | 108 | 108 | Couplers, MMIs, interferometers, resonators, crossings, gratings, cavities, and converters |
 
-## Row contract
+## Verification
 
-| Purpose | Fields |
-|---|---|
-| Model input | `image`, `instruction` |
-| Supervised target | `code` |
-| Physical reference | `target_image`, `footprint_um` |
-| Curriculum identity | `level`, `family`, `concept_id`, `representation_id`, `grammar_id`, `variation_role` |
-| Alias and dependency grouping | `leakage_group_id` |
-| Construction metadata | `primitive_calls`, `prerequisite_ids`, `port_signature_json`, `parameters_json`, `topology_json` |
-| Integrity and provenance | SHA-256 fields, `view_policy`, source digest, and generator version |
-
-`image` is a maximum-visibility view: thin gaps, rails, teeth, bends, and
-defects remain legible through declared per-axis display magnification. The
-class-blind `instruction` supplies that display scale and the physical
-footprint. `target_image` preserves the physical aspect ratio.
-
-The full schema and release inventory are in
-[`metadata/catalog.json`](metadata/catalog.json).
-The additional `depth-v1` lineage and controlled-variation fields are
-documented in [`depth-v1/README.md`](depth-v1/README.md).
-
-## Construction and quality
-
-Core examples enumerate primitives, operations, compositions, structures, and
-photonic components. The depth builder identifies live geometry parameters and
-emits a fixed schedule of controlled, visible settings.
-
-Every row passes compilation and execution, primitive-only source checks,
-declared port and connectivity checks, structural witnesses, calibrated
-geometry comparison, footprint agreement, and artifact hashing. Release
-manifests and verification evidence are stored under [`factory/`](factory/)
-and [`depth-v1/factory/`](depth-v1/factory/).
-
-The dataset targets executable geometric reconstruction at a declared raster
-and physical footprint. Electromagnetic performance and foundry qualification
-are evaluated in downstream device workflows.
-
-All images, instructions, and programs are synthetic.
-
-## Reproduce
-
-The source capsule under `factory/core-v1/` and the depth release scripts
-rebuild the published rows from a clean PixCell checkout.
-
-<details>
-<summary>Rebuild and verify both releases</summary>
-
-```bash
-cd dataset
-python3.13 -m venv .venv
-source .venv/bin/activate
-python -m pip install -r requirements-lock.txt
-
-python scripts/build_all.py
-python scripts/validate_release.py --root . --execute-programs
-python depth-v1/scripts/build.py --dataset-root . --output depth-v1
-python depth-v1/scripts/validate.py \
-  --release-root depth-v1 \
-  --dataset-root . \
-  --execute-programs
-python -m unittest discover -s tests -v
-python -m pytest depth-v1/tests -q
-```
+Published rows pass deterministic compilation and execution, the
+primitive-only source policy, structural checks, calibrated geometry
+comparison, footprint agreement, and artifact hashing.
 
-The rebuilds reproduce these frozen logical release digests:
+The dataset targets geometric reconstruction of single-layer photonic layouts.
+Optical performance and foundry qualification are handled by downstream device
+evaluation.
+
+The release manifest binds every shard to the frozen source digests:
 
 ```text
-core-v1   e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89
-depth-v1  676c49134d4d044c7d84426cf8eeecf09302e74ca4aa548956f14b7631a4d80b
+core   e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89
+depth  676c49134d4d044c7d84426cf8eeecf09302e74ca4aa548956f14b7631a4d80b
 ```
 
-</details>
-
-See [`factory/README.md`](factory/README.md) for the replay contract. Dataset
-rows contain executable Python. Inspect code from untrusted revisions before
-execution.
-
-## Training export
-
-Convert a level to OpenAI-style multimodal `messages`:
-
-```bash
-python scripts/to_vlm_messages.py \
-  --root . \
-  --level l4 \
-  --output /tmp/pixcell-l4.jsonl \
-  --image-mode data-uri
-```
+Source, release tools, and training recipes are available in the
+[PixCell v2.0.0 source release](https://github.com/QPG-MIT/PixCell/tree/dataset-v2.0.0).
 
-## Recommended use
+## Versions
 
-Use `depth-v1` for image-to-code SFT and within-representation parameter
-recovery. Use `core-v1` or the individual levels for staged training, task
-sampling, and component-focused training. Use a representation-disjoint
-benchmark for unseen-component evaluation.
+Use configuration `depth` with revision `v2.0.0` to pin this release. The
+original `core-v1` and `depth-v1` releases remain available at their matching
+Hugging Face revisions.
 
-## License and citation
+Version 2.0.0 is a breaking schema release. It makes `depth` the default,
+removes the duplicated per-row instruction, and moves target rasters and
+calibration into `references`. Pin revision `core-v1` or `depth-v1` for the
+original row schema.
 
-The dataset and release tools use the [MIT License](LICENSE). Dependency
-notices are in [THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md). Citation
-metadata is available in [CITATION.cff](CITATION.cff).
+## Citation
 
 ```bibtex
-@misc{agarwal2026pixcelldataset,
-  title        = {PixCell Dataset: Representation-First Image-to-Code Curriculum},
-  author       = {Aadarsh Agarwal and Kenaish Al Qubaisi and Dirk Englund},
-  year         = {2026},
-  howpublished = {Hugging Face dataset},
-  note         = {Version depth-v1},
-  url          = {https://huggingface.co/datasets/qpaig-mit/pixcell}
+@dataset{agarwal2026pixcell,
+  title   = {PixCell Dataset: Representation-First Image-to-Code Curriculum},
+  author  = {Aadarsh Agarwal and Kenaish Al Qubaisi and Dirk Englund},
+  year    = {2026},
+  version = {2.0.0},
+  url     = {https://huggingface.co/datasets/qpaig-mit/pixcell}
 }
 ```
 
-The citation record will include the paper's arXiv identifier when available.
-Project source: [QPG-MIT/PixCell](https://github.com/QPG-MIT/PixCell).
+The citation record will be updated with the paper's arXiv identifier when it
+is available.
diff --git a/galleries/all.png b/assets/core.png
similarity index 100%
rename from galleries/all.png
rename to assets/core.png
diff --git a/depth-v1/galleries/overview.png b/assets/depth.png
similarity index 100%
rename from depth-v1/galleries/overview.png
rename to assets/depth.png
diff --git a/core/data/train-00000-of-00002.parquet b/core/data/train-00000-of-00002.parquet
new file mode 100644
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deleted file mode 100644
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--- a/data/l4/train-00000-of-00001.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:05c8162b50feb869224e998a7d43fe81eee40d12371019fb27ae6aef3557a16d
-size 8708468
diff --git a/depth-v1/README.md b/depth-v1/README.md
deleted file mode 100644
index 74737296d2deca1d83f20d428dd6e8f3d7bd8fd7..0000000000000000000000000000000000000000
--- a/depth-v1/README.md
+++ /dev/null
@@ -1,47 +0,0 @@
-# PixCell depth-v1
-
-`depth-v1` is a separate, core-compatible release of controlled geometry
-realizations around the 547 approved PixCell representations.
-
-The immutable 738-row PixCell core is retained in full. Its 547 semantic rows
-are the `r00` anchors; the other 191 core rows remain as `core-extra` records.
-Exactly 546 anchors have seven additional, model-visible geometry states. One
-L2 anchor remains anchor-only because its sole mutable literal is a global
-translation erased by maximum-visibility normalization; synthesizing its
-descendants would create repeated inputs with different code labels.
-
-| Release split | Contents | Rows |
-|---|---|---:|
-| `train` | 738 core rows plus `r01`–`r05` descendants | 3,468 |
-| `validation` | `r06`–`r07` descendants | 1,092 |
-| **Total** | 546 complete eight-state groups, one anchor-only representation, and core extras | **4,560** |
-
-This release does not alter `core-v1`. Every row binds its parent core example,
-parent code hash, and frozen core digest.
-
-## Row format
-
-Rows preserve all 30 core columns, including the model image, physical-aspect
-target, parametric Python program, footprint, topology, hashes, and curriculum
-metadata. The appended depth fields record:
-
-- parent and release provenance;
-- geometry and realization identity;
-- controlled transform axes and parameter deltas;
-- dependency, pose, render, and split grouping;
-- verification evidence (hashes and metrics) and generator version; and
-- a deterministic logical-row digest.
-
-Images remain embedded in Parquet, so the release loads without a custom
-dataset script. The Hugging Face feature declaration is provided by
-[`scripts/schema.py`](scripts/schema.py).
-
-## Integrity
-
-`scripts/schema.py` defines the stable column order, Hugging Face features,
-logical row and release digests, deterministic Parquet shard names, the exact
-frozen population contract, and manifest, freeze, and checksum helpers.
-
-The logical digest hashes every non-payload field, including the stored hashes
-of code and images, in ascending row-ID order. Freeze and checksum records bind
-the generated release artifacts without changing any file in the parent core.
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diff --git a/depth-v1/factory/accepted_manifest.json b/depth-v1/factory/accepted_manifest.json
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-{
-  "accepted_only": true,
-  "generator_version": "pixcell-depth-v1-builder-1",
-  "row_count": 4560,
-  "rows": [
-    {
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-      "image_sha256": "2b6533073e7a074458957f705702c5062500a5a53bcebfae95bc99c0694bc511",
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-      "realization_id": "r00",
-      "split_role": "train",
-      "target_image_sha256": "feea1d5ef53254998502e0253b6f57d4c57418042efa3bc1be997e47fb9aa636"
-    },
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diff --git a/depth-v1/factory/anchor_manifest.json b/depth-v1/factory/anchor_manifest.json
deleted file mode 100644
index c9d8a0f5423ca4be8b6715ae3dc3f9f4ae629caa..0000000000000000000000000000000000000000
--- a/depth-v1/factory/anchor_manifest.json
+++ /dev/null
@@ -1,3836 +0,0 @@
-{
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-      "grammar_id": "photonic_crystal_line_defect_cavity_1x1",
-      "id": "photonic_crystal_line_defect_cavity_1x1",
-      "image_sha256": "1eff013ee72c1534dc2afd66bf577a38abad51964dede6c46642335696a1f546",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "5304f8e93edcd4c7d938d19e9b5845f6e76eb2cc93ce97fc13a2339018535ee7",
-      "grammar_id": "polarization_splitter_rotator_1x2",
-      "id": "polarization_splitter_rotator_1x2",
-      "image_sha256": "143fc5cea0fd2241b552d6229884954776fc74593eae6b5015951c000c92ab4e",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "43dd7321a63d392c645671f37bb0a32d79610ed3d3fcae120175b025b0a5066a",
-      "grammar_id": "pulley_ring_bus",
-      "id": "pulley_ring_bus",
-      "image_sha256": "1429a489b06e5c41279175af0b89abb57bf618d5b12fdea23615057fee79e1ad",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "b0c049367118e167dabf9ab179e267d2da926c1315f010c91ee6e3f025a90321",
-      "grammar_id": "racetrack_bus",
-      "id": "racetrack_bus",
-      "image_sha256": "60e298e66c5826d5b7458d399c5fe9d39f218ee09b5a55c70595ec8b13985418",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "b1a74884679b85d884366e3368961b7712b462abbca98bb77cefb9e742247943",
-      "grammar_id": "ring_bus_all_pass",
-      "id": "ring_bus_all_pass",
-      "image_sha256": "07e059ba243fdf822b648fe32baa87a28a2ce60f2c74d39f18a762f496ae2c75",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "1a3e7d534ee654c9fa0f17c72dc3eb9cce0584bcf543c1e63e66657f686dbe0b",
-      "grammar_id": "ring_bus_drop",
-      "id": "ring_bus_drop",
-      "image_sha256": "a96d6671833dc5ebb5dc00b7e3797e3fc1291d4bdc51f6bdbb0d050baa2c258c",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "2a7cb6688395624d093e95904206a06cb83fe575dd28acc26815648e4530bc66",
-      "grammar_id": "sampled_dual_scale_bragg_cavity_1x1",
-      "id": "sampled_dual_scale_bragg_cavity_1x1",
-      "image_sha256": "a4567706198f312274c3dcfc685e50a46e6743d4fc9cdf8dd1367f0aa091c8af",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "687bdf78473c64406645eca6f734777855169301317496720c1b6169043ffc6d",
-      "grammar_id": "sampled_superstructure_bragg_1x1",
-      "id": "sampled_superstructure_bragg_1x1",
-      "image_sha256": "e1e538d9432bb2c5e3017d91305ec12696c896031d8d12a5ddb39f764f1cf985",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "42177f9d676073fed1778b2c33c931d2682fc9765d9bf8760008e9b7ae3062ca",
-      "grammar_id": "segmented_swg_grating_coupler_1x0",
-      "id": "segmented_swg_grating_coupler_1x0",
-      "image_sha256": "ea8d695facee3aa23fc3e245f98ac918537be9881c0f32a1d89dc813bbfea969",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "9701e0464761f957828127f4c1bb1886f6961df013318b30fcd6aa16c425ad65",
-      "grammar_id": "segmented_swg_ring_bus_1x1",
-      "id": "segmented_swg_ring_bus_1x1",
-      "image_sha256": "6cd60fa4cfebdba4e2e0ea1a49f0cc8c76f4c0ddea184e878c7edce6ed475e68",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "9febe7d4308508c7cd6186f687903b84808971f4d0fb5046851dbd996be99cdf",
-      "grammar_id": "segmented_trident_edge_coupler_3x1",
-      "id": "segmented_trident_edge_coupler_3x1",
-      "image_sha256": "2b03b273448c6cbe20c5649bb888712da34d25228ff48f008b7dfa31a8919e9e",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "b6bb7c25df62bf7c7f19a6618ab1cfd91a55d60c787085e3d3a3ddb0bf64a6b9",
-      "grammar_id": "semicircular_fpr_2x5",
-      "id": "semicircular_fpr_2x5",
-      "image_sha256": "db9bdab2b7ada3506b42a34af0da4ca6a243ecb487d1cf6c4d141d44c39960c0",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "1cd2735b190dd5237eba459c47881a2cf08c9b1cac61ad47e5c34705b3283828",
-      "grammar_id": "side_coupled_nanobeam_cavity_1x1",
-      "id": "side_coupled_nanobeam_cavity_1x1",
-      "image_sha256": "c626a08742a774c2046144e89fc1eb25c6c4fc7295fd1ea11ef4546be78c1d08",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "56dbcb6f9b530698302040d68627505f3eec973145ce1f05e26d613c6344ad47",
-      "grammar_id": "sidewall_tooth_array",
-      "id": "sidewall_tooth_array",
-      "image_sha256": "08f6cba5e8956a982a7f08483dd4412c050d21b15433368836c8343bbe8be256",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "d06e9701b2381d2e11a10710db258f20c0d7f51b4650d1612bf8a30b1604cf32",
-      "grammar_id": "sinusoidal_corrugated_waveguide_1x1",
-      "id": "sinusoidal_corrugated_waveguide_1x1",
-      "image_sha256": "f608cc49e8b8ff0979f4337dcaced8694c86472e5f9f0baa3118ea7be2b8e538",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "2a00eb31f88c3f4e3544005be4c42ac368f2eea10b5b2714986e77931b37e2e6",
-      "grammar_id": "slot_arm_mzi_1x1",
-      "id": "slot_arm_mzi_1x1",
-      "image_sha256": "979c51dd490720f627b13394847478c5c7552737b69dc89064d51f53f294b2a9",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "8c6ee9e1a064153c4b19e8a8a442eb42699e89d868b602dffe5ce9ae160de395",
-      "grammar_id": "slot_directional_coupler_2x2",
-      "id": "slot_directional_coupler_2x2",
-      "image_sha256": "23702957c92d999631dae70db9e0caf971a813c399ba6fbf0413a66844057be6",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "8eb5040d86bd842e10103177be0ae5bdcb69b2c58887e5d46024b02dbf87d673",
-      "grammar_id": "slot_to_strip_converter_1x1",
-      "id": "slot_to_strip_converter_1x1",
-      "image_sha256": "78418291527618d5b88114d96b265da4f19035d719b9c009ef02b4db5986b601",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "fe4859d9f374e6aade1517b847e9e170300413cd9351a1ea10127ebec91e08b6",
-      "grammar_id": "slot_to_swg_converter_1x1",
-      "id": "slot_to_swg_converter_1x1",
-      "image_sha256": "d30c958ca2074d70508035979862ccc23136083df87911c6d1264f026e93afaa",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "e4844fe2c3f13cf67292597fbd98465284a3dde85ec8dad6469048d9524ebafc",
-      "grammar_id": "slot_waveguide_crossing_2x2",
-      "id": "slot_waveguide_crossing_2x2",
-      "image_sha256": "68c3b56fc5aa592d19a1de06a4b24d604276513e10d197e17706051c653f0038",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "9c4d4705a19113015204b73ebfc6504065f34e9f6dd814bd9bb1ebdffced1985",
-      "grammar_id": "slotted_ring_bus_1x1",
-      "id": "slotted_ring_bus_1x1",
-      "image_sha256": "b17e680922f8b9251bea058ae51ebc557d01cada99abd8dd776d356ba04bc1d1",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "10887820c4a52f00bc2c7fb2a6d0ced5e8e87ae32ab8ba2c747bf74ad99265a8",
-      "grammar_id": "splitter_tree_1x4",
-      "id": "splitter_tree_1x4",
-      "image_sha256": "3f995eb8d93b86b2ba1846e9720bb35c882006aa3a20d97c536585e05ca23e2a",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "54cd38d0ae365af0d781bafc0d7f0700350bbcaafdb0aa2e2f3d05266f154ca5",
-      "grammar_id": "staggered_double_row_swg_1x1",
-      "id": "staggered_double_row_swg_1x1",
-      "image_sha256": "254525cbfed3232f4a8d51f4f564be22bfee3406a1a1f26b6d458d8f859c0634",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "04d310b056015b7c3706df3e4b8a5984db7cfaedf678c03f60f17c3ac74fe405",
-      "grammar_id": "star_coupler_2x4",
-      "id": "star_coupler_2x4",
-      "image_sha256": "b513cfd313e85eda966e3c7a6b92fea5e026e7ec0607f7b5566bca2adc5bd4a3",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "a866b379bc590390c15fedbcc662b3e7052499885ad3d3bc1f3b98d63ca7e4e0",
-      "grammar_id": "star_fan_1x4",
-      "id": "star_fan_1x4",
-      "image_sha256": "049c806922f5e596bbd5096e27f14dd9baa727a5923aab087f258ce75bf1f18b",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "68b7ebf83b1f897f68204fff3cbd50bfa53c593e053c0be88693c56d6eda9773",
-      "grammar_id": "stirap_mode_pol_3rail",
-      "id": "stirap_mode_pol_3rail",
-      "image_sha256": "1ffceb63eb3b78703834eaa659b0b289bef5efdfa15b80cabce30d5099e8767c",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "33a63ef965b8a95af5ad6d7653ee88d2a04b5cafde519f11fa6624fb84ba6fe6",
-      "grammar_id": "strip_rib_slab_converter_1x1",
-      "id": "strip_rib_slab_converter_1x1",
-      "image_sha256": "689e480864ac8ac9f2960d6b3fa29c0b7d43a2e0742b2bfadff2bfb7a27a11a3",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "413eb9a560d093105bf759bacb31308290aecc9de6881ca8c0b6aaaf46c50c32",
-      "grammar_id": "strip_to_double_slot_converter_1x1",
-      "id": "strip_to_double_slot_converter_1x1",
-      "image_sha256": "92b15b7ad5a93ca79d90b0a787a9eb5aa119bdc4a898f9fdd46069e30ebe6d03",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "2033eae33029bb3273c11e28a6c1ae99073fd667e5326d801e730c2c398f0ec4",
-      "grammar_id": "strip_to_swg_converter_1x1",
-      "id": "strip_to_swg_converter_1x1",
-      "image_sha256": "56cd9f9e38fceea206b3111575e86bb68376128baafd5c97880e0523910a104c",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "253b0a984fa19e19499074a6afae3772e44e3432762410db990aed620872f12b",
-      "grammar_id": "suspended_fishbone_edge_coupler_1x1",
-      "id": "suspended_fishbone_edge_coupler_1x1",
-      "image_sha256": "7e8ad172037a01d3f22a81b7ef506790bd1bc9cbf4796eaaa7edc4c0f82eabc6",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "2e6161efe065fd64bdae5eb5a0b4b3d6362c22f0882b7ab039105a82edbeb237",
-      "grammar_id": "swg_arm_mzi_1x1",
-      "id": "swg_arm_mzi_1x1",
-      "image_sha256": "88d93bc1638381cb19c92e1d415cfe9f444e9fe91a3b0ab5f813c1a3cf93c25e",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "d9be32cb021098e69ac69dcb5886b6fa6149dd722cebcb57ec0f9518132cc970",
-      "grammar_id": "swg_assisted_asymmetric_mode_splitter_1x2",
-      "id": "swg_assisted_asymmetric_mode_splitter_1x2",
-      "image_sha256": "81d0dd989a13468c6b20d894b2ae8a8b3e240ef9982f75a27b2c26b775fb7dda",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "bc6c3b00e9b32c44b2d59764c33f0925968245ac3b658c0e8b407dbb0b7e6a2d",
-      "grammar_id": "swg_crossing_2x2",
-      "id": "swg_crossing_2x2",
-      "image_sha256": "031204b408d2e9a8ea1361fbcd7597e064646451ab85ab10605552671d585227",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "0873b23b3a3158b7c2d9db2ccb555631fe9116a99d78fba221f717aa17f43675",
-      "grammar_id": "swg_directional_coupler_2x2",
-      "id": "swg_directional_coupler_2x2",
-      "image_sha256": "80aa01dc4235acc5d20aa4f958626c9feb132bfe009023a24788663ea763ae7d",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "a562f296fd1ca68b0258d1656ed9da8d0694a38e1366639833c5305f4bedd426",
-      "grammar_id": "swg_y_splitter_1x2",
-      "id": "swg_y_splitter_1x2",
-      "image_sha256": "4043bfe1bd48e767f6a505491395da662a6214a99b5e57cdc96917c1e649fcd9",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "db5e2db01b9f18918ceaf940708818b5397f34fee4f4ac1dc0e793a6b9ea2fa4",
-      "grammar_id": "t_junction_splitter_1x2",
-      "id": "t_junction_splitter_1x2",
-      "image_sha256": "261e3fb40efe3e75621c2156e8eae5148908d00a6b330232f3e596c07f130c4b",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "3678493ebb1e7b93e4ba2cd269850dfe5b046bda11f3cd8742568a4f65cd612a",
-      "grammar_id": "tapered_mmi_splitter_1x2",
-      "id": "tapered_mmi_splitter_1x2",
-      "image_sha256": "bbfeb327bc22f40aa61254b578a6c3bab389b9a6e78fa6e9cb878d1d8f6fbf90",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "e43ac15174fced0fbad75cb4ff85a5c195d490e78b3836713086705f1d63679d",
-      "grammar_id": "tapered_uniform_grating_coupler",
-      "id": "tapered_uniform_grating_coupler",
-      "image_sha256": "009c7c4a57f5078fef1c3cb1b29a5d82db9553c68b5b27b94d3e222e295873a5",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "af2abaec2dd9e5fe3b375a64f60ea9b3ff052e8dac2eb358c6e4f8170d94c73b",
-      "grammar_id": "teardrop_hub_splitter_1x2",
-      "id": "teardrop_hub_splitter_1x2",
-      "image_sha256": "73e98443dfde4b2cd9c3cf5fc4d8e049ae548561aa2d260e2b64f04cf45b240e",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "ff754cb92e9d045f6e38da331fa4919a76a09af77f8aa656c8ab29a2540db15e",
-      "grammar_id": "three_arm_interferometer_1x1",
-      "id": "three_arm_interferometer_1x1",
-      "image_sha256": "4d0e4b3cf9234289f423669df8c50a62f93882d27813ef05d70ef4e85654b84b",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "469a7ac1f4b93483278eef6e766c08b0994ec7b74783ae2c967d1d5d7fcf2e35",
-      "grammar_id": "three_rail_directional_coupler_3x3",
-      "id": "three_rail_directional_coupler_3x3",
-      "image_sha256": "c4246ca9176eed625c7e2ca7613dccb3bd89961ff1c1682f1dd0a3322f871558",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "aedf7d38a968fd26d33cba9908daa285a6a04590e68118a159aabe614172ee4b",
-      "grammar_id": "three_rail_mediated_coupler_2x2",
-      "id": "three_rail_mediated_coupler_2x2",
-      "image_sha256": "78fcb7bdfeb4178d9164b490682b7b84755a9ff1d2310ca76fef859ba5e4585c",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "19a8796c0dfb4ab7b6956542fe4ac66741c77128f635b7d560f9a9457da78f8d",
-      "grammar_id": "three_rail_supermode_converter_1x1",
-      "id": "three_rail_supermode_converter_1x1",
-      "image_sha256": "d13157cd2db913d8dbc947ca7427cc3aa775f729cddb126b2a1d63c07e24e533",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "1db762353f89ca18ff2f7ff6fc61cacc8a95fb5bacfdb9bd72d99831cf377753",
-      "grammar_id": "tilted_staggered_sidewall_bragg_1x1",
-      "id": "tilted_staggered_sidewall_bragg_1x1",
-      "image_sha256": "215d5d88ecafceaf21b0dd3afd22fa74b43d7279cee788d24e7b7e55137b7eec",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "8b8f60f8704d3de62db1ca5667b46bfd5baf5be9e632315ecf847297611fced9",
-      "grammar_id": "trident_hub_splitter_1x3",
-      "id": "trident_hub_splitter_1x3",
-      "image_sha256": "aeffb566a414a2c01810bac9c55a9da839fcb70da1fc721df2c78ea16011e035",
-      "level": "L4"
-    },
-    {
-      "code_sha256": "ef730b607e080f0c3a4498c9e3f8409a16bbfb715dc974cd84beea4d5ed040be",
-      "grammar_id": "y_branch_smooth_1x2",
-      "id": "y_branch_smooth_1x2",
-      "image_sha256": "fe7d68aaaab68a569b73b47fd557256c7cdeab5e39b2fdb9030a5dbe2ab5cd72",
-      "level": "L4"
-    }
-  ],
-  "core_digest_sha256": "e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89",
-  "core_grammar_catalog_sha256": "2b833651a688c9cd33b3fcc5f4b79fd45307b2a28060a583ef9a1464eb8d89a1",
-  "representation_count": 547
-}
diff --git a/depth-v1/factory/core_reference_snapshot.json b/depth-v1/factory/core_reference_snapshot.json
deleted file mode 100644
index 3ab3db59d16db79b79f907822e614459c2d59a84..0000000000000000000000000000000000000000
--- a/depth-v1/factory/core_reference_snapshot.json
+++ /dev/null
@@ -1,23 +0,0 @@
-{
-  "core_digest_sha256": "e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89",
-  "reference_artifacts": {
-    "data/l0/train-00000-of-00001.parquet": "e0c5bda1b192a901349aeda2cf9287e22d62b5b791c421955e2ffba9ca2785da",
-    "data/l1/train-00000-of-00001.parquet": "fc37aea17af1a127e46f89604c95e490b8c361d5105a4cd77581f1d93dfcfc44",
-    "data/l2/train-00000-of-00001.parquet": "420d2b75f1cd38e2e3629495b9da36a07bc24ec9b81139816528e9332c7d4007",
-    "data/l3/train-00000-of-00001.parquet": "0dea653b7f8a7d5c5e773606ead614f460fae3f40e8588e67d48d314b053c4b2",
-    "data/l4/train-00000-of-00001.parquet": "05c8162b50feb869224e998a7d43fe81eee40d12371019fb27ae6aef3557a16d",
-    "galleries/all.png": "5fe87e14eb72e0a76cb39bcac1d7cc739861948dc299c400f1a746763c2793d9",
-    "galleries/l0.png": "838dc208f2bddb3c9cfa140ef09cb8d350f866c9b380d285b3c4d6afc3bd9c0a",
-    "galleries/l1.png": "e6cb27d4d4230ceb2c0b8eb5cde759af53759b2c3c05abbd9fd72b05302400d8",
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-    "galleries/l3.png": "5fb0387dfc4be86ac455528e75f9dc33f8979ea5a860812159445f851f2eefd9",
-    "galleries/l4.png": "eca24f18ece945ee76f316e9c97fd48d5c9a52a52b8fdc04eba0857b49376463",
-    "metadata/audit_report.json": "2cb6122042f1b231adc4c6de642f64663f42759a2bf3dcee305c9d255064b0ae",
-    "metadata/catalog.json": "c22125e4201e3ccac233b0d6898a86cda232a5371ad8a68e19b44112aa680511",
-    "metadata/source_reports/l0.json": "654d69c5a9954f4a251450f85ce6143635bbfb26e6f1f01f8e22777223c98d23",
-    "metadata/source_reports/l1.json": "6e95ccff6ea3dfeec8df3c31cbbafbb487986d94736d8ec74d17189edc3da290",
-    "metadata/source_reports/l2.json": "95d17fe874a904df8ef2a2aca5a563d3cc5e72237e611278083181bf1ec9465a",
-    "metadata/source_reports/l3.json": "b5dbd40ef517ec23353d98a6326f8ec649b0ec88ec2f0d2b2fdc622b4d8a6f1a",
-    "metadata/source_reports/l4.json": "a7cfc8be204209ef7997447f20db339a52e327ad6ecdabbcb921c54111de9eeb"
-  }
-}
diff --git a/depth-v1/factory/freeze.json b/depth-v1/factory/freeze.json
deleted file mode 100644
index d7de718aa0029dede676201e0e355e86b5b05617..0000000000000000000000000000000000000000
--- a/depth-v1/factory/freeze.json
+++ /dev/null
@@ -1,88 +0,0 @@
-{
-  "anchor_only_parent_ids": [
-    "l2_02_rotated_edge_aligned_cluster__s03__proposal_b"
-  ],
-  "anchor_only_representation_count": 1,
-  "approved_representation_count": 547,
-  "complete_depth_representation_count": 546,
-  "depth_schema_version": "pixcell-depth-row-v1",
-  "geometry_state_count": 8,
-  "logical_release_sha256": "676c49134d4d044c7d84426cf8eeecf09302e74ca4aa548956f14b7631a4d80b",
-  "manifest": {
-    "path": "metadata/manifest.json",
-    "sha256": "e40017affd7bc3fc1acf39ff05167681c8436fc38a1cbe8ba953149079373133"
-  },
-  "parent_core_digest_sha256": "e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89",
-  "reference_artifacts": {
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-    "data/train-00001-of-00007.parquet": "c51c77d5f076bd6960b1452eeccf351fecff58e98189c7ab593ed4d648c617d0",
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-    "data/validation-00002-of-00003.parquet": "77109cf40718db1e33c25d4998c22aca1d0f13c4ffe01b271e0b36fd22f14a30",
-    "factory/accepted_manifest.json": "c89f6131d8ee41b26e4cbacef6fe935fe7f98c01726f846689ff67ed131b0a72",
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-    "metadata/manifest.json": "e40017affd7bc3fc1acf39ff05167681c8436fc38a1cbe8ba953149079373133"
-  },
-  "release_name": "depth-v1",
-  "row_count": 4560,
-  "schema_version": "pixcell-depth-freeze-v1"
-}
diff --git a/depth-v1/factory/generation_plan.json b/depth-v1/factory/generation_plan.json
deleted file mode 100644
index 03bcdeeb23a9f87ffc27766edd0d4e371526035b..0000000000000000000000000000000000000000
--- a/depth-v1/factory/generation_plan.json
+++ /dev/null
@@ -1,149006 +0,0 @@
-{
-  "anchor_only_parent_ids": [
-    "l2_02_rotated_edge_aligned_cluster__s03__proposal_b"
-  ],
-  "anchor_only_representation_count": 1,
-  "anchor_representation_count": 547,
-  "complete_depth_representation_count": 546,
-  "generator_version": "pixcell-depth-v1-builder-1",
-  "geometry_states_per_complete_representation": 8,
-  "plans": [
-    {
-      "anchor_id": "l0_01_rectangle__semantic__mild_landscape",
-      "grammar_id": "g_d77719f938c1d0c48b58",
-      "level": "L0",
-      "states": [
-        {
-          "axis_ids": [
-            "axis:width_um"
-          ],
-          "code_sha256": "b4ee2d1d2eb20244eb545009d7e1bbd785fdf69f5c1cfab9c091e951af8a1d61",
-          "controlled_axes": [
-            "width_um"
-          ],
-          "geometry_id": "dgeo_d7ccecd47f5676e3c42b7f7c",
-          "image_sha256": "b495013c61326334569ee226f56f2bdb7baeda631e0750d5924bfbc3b11d8f59",
-          "parameter_delta": {
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-              }
-            },
-            "contract_fallback": false,
-            "derived_updates": [],
-            "effective_direction": "low",
-            "fallback_schedule": false,
-            "requested_direction": "low",
-            "requested_factors": {
-              "axis:width_um": 0.82
-            },
-            "requested_updates": {
-              "width_um": 18.04
-            },
-            "role": "primary",
-            "runtime_fallback": false
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-          "image_sha256": "b495013c61326334569ee226f56f2bdb7baeda631e0750d5924bfbc3b11d8f59",
-          "parameter_delta": {
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-              }
-            },
-            "contract_fallback": false,
-            "derived_updates": [],
-            "effective_direction": "high",
-            "fallback_schedule": false,
-            "requested_direction": "high",
-            "requested_factors": {
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-            },
-            "requested_updates": {
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-            },
-            "role": "primary",
-            "runtime_fallback": false
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-          "realization_id": "r02",
-          "target_image_sha256": "b516924ae5ebdbecc545a1ead6d6119880dc046054af113f66031fbbaa2a293d",
-          "verification_evidence_sha256": "154847cd20d6adc9d0b500fbb24bdb9096a694859f9465be8faa6b66ec80f71f"
-        },
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-            "contract_fallback": false,
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-            },
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-            "role": "secondary",
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-          "controlled_axes": [
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-              }
-            },
-            "contract_fallback": false,
-            "derived_updates": [],
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-            "requested_direction": "high",
-            "requested_factors": {
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-            },
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-            "contract_fallback": true,
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-            "requested_factors": {
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-            "role": "tertiary",
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-  "representation_count": 547,
-  "schedule": {
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-    "r01-r02": "two distinct primary-axis states",
-    "r03-r04": "two distinct secondary-axis states or safe fallback",
-    "r05-r06": "two distinct tertiary-axis states or safe fallback",
-    "r07": "deterministic multi-axis interaction"
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diff --git a/depth-v1/factory/variation_contracts.json b/depth-v1/factory/variation_contracts.json
deleted file mode 100644
index 45ec52b91e738dc28d5f3ce37b549e1879fc1add..0000000000000000000000000000000000000000
--- a/depth-v1/factory/variation_contracts.json
+++ /dev/null
@@ -1,85749 +0,0 @@
-{
-  "anchor_only_parent_ids": [
-    "l2_02_rotated_edge_aligned_cluster__s03__proposal_b"
-  ],
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-  "anchor_representation_count": 547,
-  "complete_depth_representation_count": 546,
-  "contracts": [
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-          "mutable": true,
-          "name": "length_um",
-          "parameter_class": "realization_dimension",
-          "reason": "declared continuous physical dimension",
-          "value": 28.0
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-          "line": 7,
-          "literal_type": "float",
-          "mutable": true,
-          "name": "width_um",
-          "parameter_class": "realization_dimension",
-          "reason": "declared continuous physical dimension",
-          "value": 22.0
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-          "line": 8,
-          "literal_type": "tuple",
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-          "name": "layer",
-          "parameter_class": "frozen_context",
-          "reason": "material/layer context is invariant",
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-          "names": [
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-          "parameter_class": "realization_dimension",
-          "priority": 110
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-          "parameter_class": "realization_dimension",
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-          "value": [
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-          "names": [
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-          "parameter_class": "realization_dimension",
-          "priority": 106
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-      "declared_parameter_names": [
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-      "grammar_id": "g_ae0d09a324b8260c2861",
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diff --git a/depth-v1/metadata/audit_report.json b/depth-v1/metadata/audit_report.json
deleted file mode 100644
index d901fd9af13599f5d7bda4c124d1edb286fb8d12..0000000000000000000000000000000000000000
--- a/depth-v1/metadata/audit_report.json
+++ /dev/null
@@ -1,435 +0,0 @@
-{
-  "accepted_only": true,
-  "anchor_only_parent_ids": [
-    "l2_02_rotated_edge_aligned_cluster__s03__proposal_b"
-  ],
-  "anchor_only_representation_count": 1,
-  "anchor_representation_count": 547,
-  "complete_depth_representation_count": 546,
-  "controlled_axis_counts": {
-    "access_pitch_um": 3,
-    "access_width_um": 3,
-    "adiabatic_length_um": 3,
-    "angle_a_deg": 3,
-    "angle_b_deg": 5,
-    "angle_deg": 49,
-    "angle_step_deg": 3,
-    "angular_center_x_um": 3,
-    "angular_center_y_um": 3,
-    "annular_width_um": 3,
-    "aperture_width_um": 51,
-    "approach_length_um": 3,
-    "arc_angle_deg": 24,
-    "arc_radius_um": 18,
-    "arc_tooth_width_um": 3,
-    "arm_length_um": 3,
-    "arm_separation_um": 3,
-    "arm_width_um": 36,
-    "bank_pitch_um": 15,
-    "bar_angle_deg": 3,
-    "bar_dx_um": 12,
-    "bar_height_um": 9,
-    "bar_length_um": 25,
-    "bar_width_um": 17,
-    "base_um": 10,
-    "beam_width_um": 3,
-    "bend_angle_deg": 33,
-    "bend_radius_um": 108,
-    "bite_offset_um": 3,
-    "block_gap_um": 6,
-    "block_height_um": 3,
-    "block_length_um": 12,
-    "block_pitch_um": 3,
-    "block_radial_width_um": 3,
-    "block_width_um": 9,
-    "body_attachment_radius_um": 3,
-    "body_bar_length_um": 3,
-    "body_length_um": 3,
-    "body_pitch_um": 3,
-    "body_radius_um": 3,
-    "body_radius_x_um": 15,
-    "body_radius_y_um": 15,
-    "body_width_um": 24,
-    "body_x_um": 3,
-    "body_y_um": 3,
-    "bottom_height_um": 3,
-    "bottom_length_um": 3,
-    "bottom_width_um": 3,
-    "bragg_cell_gap_um": 3,
-    "bragg_cell_width_um": 6,
-    "branch_offset_um": 5,
-    "branch_pitch_um": 3,
-    "branch_width_um": 18,
-    "bridge_length_um": 3,
-    "bridge_width_um": 3,
-    "bus_gap_um": 18,
-    "bus_width_um": 6,
-    "cap_radius_um": 3,
-    "carrier_length_um": 24,
-    "carrier_mid_offset_um": 3,
-    "carrier_pitch_um": 3,
-    "carrier_width_um": 57,
-    "cavity_spine_width_um": 3,
-    "cell_arm_width_um": 12,
-    "cell_size_x_um": 6,
-    "cell_size_y_um": 6,
-    "cell_span_um": 6,
-    "cell_width_um": 3,
-    "center_gap_um": 3,
-    "center_length_um": 3,
-    "center_offset_um": 5,
-    "center_radius_um": 6,
-    "center_separation_um": 3,
-    "center_width_um": 3,
-    "central_defect_gap_um": 9,
-    "central_inner_radius_um": 3,
-    "central_outer_radius_um": 3,
-    "central_radius_um": 9,
-    "chevron_pitch_um": 6,
-    "child_radius_um": 6,
-    "circle_dx_um": 3,
-    "circle_dy_um": 5,
-    "circle_inner_radius_um": 3,
-    "circle_outer_radius_um": 3,
-    "column_pitch_um": 6,
-    "columns": 15,
-    "corridor_pitch_um": 6,
-    "corridor_width_um": 18,
-    "corrugation_pitch_um": 3,
-    "coupler_body_width_um": 3,
-    "coupling_channel_pitch_um": 3,
-    "coupling_gap_um": 48,
-    "coupling_length_um": 12,
-    "coupling_window_length_um": 3,
-    "cross_length_step_um": 3,
-    "cross_length_um": 18,
-    "cross_width_um": 36,
-    "cutter_dx_um": 3,
-    "cutter_dy_um": 5,
-    "cycle_pitch_um": 3,
-    "cycle_radius_um": 12,
-    "defect_arm_width_um": 3,
-    "defect_cross_width_um": 3,
-    "detour_y_um": 3,
-    "diagonal_bone_width_um": 3,
-    "diagonal_offset_um": 3,
-    "disk_radius_um": 36,
-    "dogleg_radius_um": 3,
-    "dx_um": 33,
-    "dy_um": 20,
-    "edge_segment_pitch_um": 3,
-    "edge_segment_width_um": 3,
-    "edge_tip_width_um": 12,
-    "ellipse_dx_um": 17,
-    "ellipse_dy_um": 5,
-    "ellipse_radius_x_um": 15,
-    "ellipse_radius_y_um": 15,
-    "end_width_um": 15,
-    "entry_length_um": 6,
-    "euler_angle_deg": 18,
-    "euler_radius_um": 18,
-    "exchange_rail_pitch_um": 3,
-    "exit_aperture_width_um": 3,
-    "external_pitch_um": 42,
-    "facet_pitch_um": 3,
-    "facet_width_um": 3,
-    "finger_pitch_um": 3,
-    "first_chevron_gap_um": 3,
-    "first_route_length_um": 3,
-    "first_row_gap_um": 3,
-    "first_segment_gap_um": 3,
-    "first_tooth_gap_um": 3,
-    "fold_width_um": 3,
-    "frame_inner_radius_um": 3,
-    "frame_pitch_um": 9,
-    "gap_um": 66,
-    "grandchild_radius_um": 3,
-    "half_period_um": 3,
-    "height_um": 9,
-    "hole_offset_um": 14,
-    "hole_pitch_um": 6,
-    "hole_radius_um": 6,
-    "hole_x_um": 7,
-    "hole_y_um": 7,
-    "horizontal_gap_um": 3,
-    "host_height_um": 3,
-    "host_length_um": 9,
-    "host_width_um": 3,
-    "host_x_um": 34,
-    "host_y_um": 34,
-    "hub_aperture_width_um": 3,
-    "hub_bar_width_um": 6,
-    "hub_core_radius_um": 3,
-    "hub_cross_width_um": 12,
-    "hub_radius_um": 54,
-    "hub_radius_x_um": 15,
-    "hub_radius_y_um": 15,
-    "hub_side_length_um": 3,
-    "inner_body_radius_um": 3,
-    "inner_ellipse_radius_um": 3,
-    "inner_frame_radius_um": 3,
-    "inner_length_um": 6,
-    "inner_pitch_um": 12,
-    "inner_radius_um": 40,
-    "inner_radius_x_um": 9,
-    "inner_radius_y_um": 9,
-    "inner_ring_radius_um": 3,
-    "inner_width_um": 15,
-    "input_aperture_width_um": 3,
-    "input_length_um": 3,
-    "input_pitch_um": 21,
-    "input_width_um": 15,
-    "interaction_gap_um": 3,
-    "interaction_pitch_um": 6,
-    "interaction_row_pitch_um": 3,
-    "interaction_width_um": 3,
-    "interburst_gap_um": 3,
-    "intermediate_width_um": 3,
-    "internal_pitch_um": 12,
-    "intracell_gap_um": 3,
-    "island_pitch_um": 3,
-    "island_width_um": 3,
-    "junction_width_um": 3,
-    "large_radius_um": 6,
-    "last_segment_gap_um": 3,
-    "lateral_offset_um": 3,
-    "lattice_pitch_um": 3,
-    "lattice_pitch_x_um": 6,
-    "lattice_pitch_y_um": 6,
-    "lead_length_um": 116,
-    "lead_um": 6,
-    "lead_width_um": 3,
-    "leaf_inner_radius_um": 3,
-    "leaf_outer_radius_um": 3,
-    "leaf_width_um": 9,
-    "left_dx_um": 3,
-    "left_height_um": 5,
-    "left_inner_radius_um": 3,
-    "left_length_um": 3,
-    "left_outer_radius_um": 3,
-    "left_radius_um": 10,
-    "leg_um": 33,
-    "length_base_um": 3,
-    "length_step_um": 3,
-    "length_um": 35,
-    "lobe_dx_um": 3,
-    "lobe_dy_um": 5,
-    "lobe_offset_um": 12,
-    "lobe_orbit_um": 3,
-    "lobe_radius_um": 3,
-    "lobe_radius_x_um": 6,
-    "lobe_radius_y_um": 6,
-    "loop_pitch_um": 3,
-    "lower_gap_um": 3,
-    "lower_width_um": 3,
-    "macro_gap_um": 3,
-    "mediator_body_width_um": 3,
-    "member_radius_um": 3,
-    "micro_gap_um": 3,
-    "middle_radius_um": 5,
-    "middle_um": 6,
-    "middle_width_um": 24,
-    "minimum_node_radius_um": 6,
-    "narrow_rail_width_um": 3,
-    "narrow_um": 48,
-    "narrow_width_um": 78,
-    "near_pitch_um": 6,
-    "near_rail_pitch_um": 3,
-    "neck_attachment_width_um": 3,
-    "node_radius_step_um": 3,
-    "node_radius_um": 3,
-    "notch_radius_um": 9,
-    "notch_x_um": 7,
-    "obstacle_bar_length_um": 3,
-    "obstacle_length_um": 3,
-    "obstacle_pitch_um": 3,
-    "obstacle_radius_x_um": 6,
-    "obstacle_radius_y_um": 6,
-    "obstacle_width_um": 6,
-    "offset_um": 47,
-    "offset_x_um": 41,
-    "offset_y_um": 24,
-    "orbit_radius_um": 6,
-    "orbit_um": 59,
-    "outer_channel_pitch_um": 3,
-    "outer_frame_radius_um": 3,
-    "outer_length_um": 6,
-    "outer_pitch_um": 18,
-    "outer_radius_um": 31,
-    "outer_radius_x_um": 9,
-    "outer_radius_y_um": 9,
-    "outer_rail_pitch_um": 3,
-    "outer_ring_radius_um": 3,
-    "outer_width_um": 15,
-    "output_aperture_width_um": 3,
-    "output_length_um": 3,
-    "output_pitch_um": 51,
-    "output_rail_pitch_um": 3,
-    "output_width_um": 18,
-    "pair_separation_y_um": 3,
-    "parent_pitch_um": 3,
-    "path_bend_radius_um": 90,
-    "path_length_um": 5,
-    "path_width_um": 173,
-    "phase_pitch_um": 3,
-    "pitch_um": 156,
-    "pitch_x_um": 83,
-    "pitch_y_um": 83,
-    "polygon_side_um": 3,
-    "primary_radius_um": 3,
-    "primary_rail_width_um": 3,
-    "pulley_radius_um": 3,
-    "radial_gap_um": 3,
-    "radial_pitch_um": 3,
-    "radius_large_um": 3,
-    "radius_small_um": 3,
-    "radius_um": 149,
-    "radius_x_um": 10,
-    "radius_y_um": 10,
-    "rail_gap_um": 3,
-    "rail_height_um": 6,
-    "rail_length_um": 12,
-    "rail_pitch_um": 12,
-    "rail_width_um": 54,
-    "rib_pitch_um": 3,
-    "rib_width_um": 21,
-    "right_dx_um": 3,
-    "right_dy_um": 5,
-    "right_height_um": 5,
-    "right_length_um": 3,
-    "right_radius_um": 10,
-    "ring_radius_um": 29,
-    "ring_to_ring_gap_um": 3,
-    "ring_width_um": 27,
-    "route_length_um": 6,
-    "route_pitch_um": 3,
-    "route_width_um": 45,
-    "row_pitch_um": 19,
-    "rows": 15,
-    "sacrificial_tip_width_um": 3,
-    "satellite_inner_radius_um": 3,
-    "satellite_outer_radius_um": 3,
-    "satellite_pitch_um": 3,
-    "satellite_radius_um": 3,
-    "second_route_length_um": 3,
-    "secondary_rail_width_um": 3,
-    "seed_width_um": 3,
-    "segment_gap_um": 3,
-    "segment_length_um": 6,
-    "segment_width_um": 3,
-    "separation_um": 45,
-    "separation_x_um": 24,
-    "shoulder_pitch_um": 3,
-    "side_length_um": 42,
-    "side_um": 10,
-    "signal_pitch_um": 3,
-    "size_x_um": 35,
-    "size_y_um": 35,
-    "slab_width_um": 6,
-    "slot_gap_um": 6,
-    "slot_radius_x_um": 3,
-    "slot_radius_y_um": 3,
-    "slot_rail_pitch_um": 3,
-    "slot_rail_width_um": 6,
-    "small_radius_um": 6,
-    "span_deg": 6,
-    "span_um": 6,
-    "spine_length_um": 12,
-    "spine_width_um": 57,
-    "spoke_width_um": 3,
-    "start_width_um": 15,
-    "station_pitch_um": 18,
-    "station_width_um": 15,
-    "stem_width_um": 9,
-    "step_um": 3,
-    "step_x_um": 5,
-    "step_y_um": 5,
-    "strip_width_um": 12,
-    "strong_rail_width_um": 3,
-    "subbank_pitch_um": 3,
-    "supermode_rail_pitch_um": 3,
-    "supermode_rail_width_um": 3,
-    "swg_block_gap_um": 3,
-    "swg_pitch_um": 12,
-    "swg_row_pitch_um": 3,
-    "swg_segment_gap_um": 3,
-    "tab_length_um": 8,
-    "tab_radius_um": 3,
-    "tab_um": 5,
-    "tail_length_um": 6,
-    "tail_offset_um": 8,
-    "taper_length_um": 12,
-    "terminal_length_um": 33,
-    "terminal_pitch_um": 21,
-    "terminal_width_um": 24,
-    "tether_width_um": 3,
-    "tight_pitch_um": 3,
-    "tip_width_um": 3,
-    "tooth_gap_um": 3,
-    "tooth_pitch_um": 9,
-    "tooth_width_um": 36,
-    "top_height_um": 3,
-    "top_length_um": 3,
-    "top_width_um": 3,
-    "transition_length_um": 25,
-    "transition_width_um": 3,
-    "translation_x_um": 3,
-    "translation_y_um": 3,
-    "transverse_rib_pitch_um": 3,
-    "triangle_x_um": 6,
-    "triangle_y_um": 6,
-    "trunk_length_um": 3,
-    "trunk_width_um": 3,
-    "turn_radius_um": 3,
-    "upper_gap_um": 3,
-    "upper_width_um": 3,
-    "vertical_gap_um": 3,
-    "vertical_offset_um": 3,
-    "vertical_pitch_um": 7,
-    "wall_um": 7,
-    "waveguide_width_um": 251,
-    "weak_rail_width_um": 3,
-    "wide1_um": 6,
-    "wide2_um": 6,
-    "wide_rail_width_um": 3,
-    "wide_route_width_um": 6,
-    "wide_stem_width_um": 3,
-    "wide_um": 54,
-    "wide_width_um": 54,
-    "width_base_um": 3,
-    "width_um": 206,
-    "window_offset_um": 5,
-    "window_radius_um": 6,
-    "window_radius_x_um": 6,
-    "window_radius_y_um": 6,
-    "wing_width_um": 3
-  },
-  "core_reference_match": true,
-  "geometry_states_per_complete_representation": 8,
-  "logical_release_sha256": "676c49134d4d044c7d84426cf8eeecf09302e74ca4aa548956f14b7631a4d80b",
-  "representation_count": 547,
-  "row_count": 4560,
-  "transform_counts": {
-    "anchor": 547,
-    "core_calibration": 10,
-    "core_equivariance": 164,
-    "core_realization": 17,
-    "interaction_high": 84,
-    "interaction_mixed": 462,
-    "primary_high": 549,
-    "primary_low": 543,
-    "secondary_high": 547,
-    "secondary_low": 545,
-    "tertiary_high": 549,
-    "tertiary_low": 542,
-    "tertiary_mixed": 1
-  },
-  "verification": {
-    "all_controlled_programs_compiled_and_pure": true,
-    "all_controlled_programs_executed": true,
-    "all_controlled_source_grammars_preserved": true,
-    "all_geometry_changes_have_input_signal": true,
-    "all_ports_attached_and_signature_preserved": true,
-    "all_representation_ids_come_from_core_v1": true
-  }
-}
diff --git a/depth-v1/metadata/catalog.json b/depth-v1/metadata/catalog.json
deleted file mode 100644
index ac8b2a38ab2e591ff54f9713b100ddc4dc23bc5b..0000000000000000000000000000000000000000
--- a/depth-v1/metadata/catalog.json
+++ /dev/null
@@ -1,75 +0,0 @@
-{
-  "accepted_only": true,
-  "anchor_only_parent_ids": [
-    "l2_02_rotated_edge_aligned_cluster__s03__proposal_b"
-  ],
-  "anchor_only_representation_count": 1,
-  "anchor_representation_count": 547,
-  "columns": [
-    "schema_version",
-    "id",
-    "level",
-    "curriculum_order",
-    "image",
-    "target_image",
-    "code",
-    "code_language",
-    "instruction",
-    "label",
-    "family",
-    "concept_id",
-    "representation_id",
-    "grammar_id",
-    "leakage_group_id",
-    "variation_role",
-    "primitive_calls",
-    "prerequisite_ids",
-    "port_signature_json",
-    "footprint_um",
-    "parameters_json",
-    "topology_json",
-    "metadata_json",
-    "image_sha256",
-    "target_image_sha256",
-    "code_sha256",
-    "normalized_d4_sha256",
-    "view_policy",
-    "source_dataset_digest_sha256",
-    "source_generator_version",
-    "depth_schema_version",
-    "parent_core_id",
-    "parent_code_sha256",
-    "parent_core_digest_sha256",
-    "geometry_id",
-    "realization_id",
-    "realization_slot",
-    "transform_kind",
-    "controlled_axes",
-    "parameter_delta_json",
-    "dependency_group",
-    "split_role",
-    "pose_id",
-    "render_id",
-    "verification_evidence_json",
-    "depth_generator_version",
-    "logical_row_sha256"
-  ],
-  "complete_depth_representation_count": 546,
-  "core_rows_retained": 738,
-  "generator_version": "pixcell-depth-v1-builder-1",
-  "level_counts": {
-    "L0": 828,
-    "L1": 1104,
-    "L2": 804,
-    "L3": 960,
-    "L4": 864
-  },
-  "logical_release_sha256": "676c49134d4d044c7d84426cf8eeecf09302e74ca4aa548956f14b7631a4d80b",
-  "parent_core_digest_sha256": "e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89",
-  "representation_count": 547,
-  "row_count": 4560,
-  "split_counts": {
-    "train": 3468,
-    "validation": 1092
-  }
-}
diff --git a/depth-v1/metadata/checksums.sha256 b/depth-v1/metadata/checksums.sha256
deleted file mode 100644
index 89e39c109e2a5dcb15718f06c0036cdc48576063..0000000000000000000000000000000000000000
--- a/depth-v1/metadata/checksums.sha256
+++ /dev/null
@@ -1,82 +0,0 @@
-96d1d1c0413884c2fd6d9b0bca16cb03951b906afc6426c64b65fd298a451709  README.md
-c2d45c383c1ce7323d322f0aa9cbf6611b2e19437bf8e229be163b4918254973  data/train-00000-of-00007.parquet
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diff --git a/depth-v1/metadata/gallery_manifest.json b/depth-v1/metadata/gallery_manifest.json
deleted file mode 100644
index 2c3c655b2e05da14a7c113c5b253cd2f14c3e45f..0000000000000000000000000000000000000000
--- a/depth-v1/metadata/gallery_manifest.json
+++ /dev/null
@@ -1,896 +0,0 @@
-{
-  "anchor_only_parent_ids": [
-    "l2_02_rotated_edge_aligned_cluster__s03__proposal_b"
-  ],
-  "anchor_representation_count": 547,
-  "overview": "galleries/overview.png",
-  "pages": [
-    {
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-      "path": "galleries/progressions/l0-01.png",
-      "representation_ids": [
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-        "g_0f5c93c273fe2ae20007",
-        "g_16e1906934ef4d4b7774",
-        "g_1b60cd40859bcb3d5b9a",
-        "g_1d8702f7e0753eca2faf",
-        "g_1da687531d8f2fcd05c0",
-        "g_25770fecbd5386149382",
-        "g_273ceda5baf32275c288",
-        "g_2906820b6e8a184d068a",
-        "g_2a7e8fa58fcd9e2dfc34"
-      ]
-    },
-    {
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-      "path": "galleries/progressions/l0-02.png",
-      "representation_ids": [
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-        "g_3d541050766b469d9fd2",
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-        "g_4a8a1d03855225928b7d"
-      ]
-    },
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-      "path": "galleries/progressions/l0-03.png",
-      "representation_ids": [
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-        "g_69ffd5d44dbe9c317101",
-        "g_6c5077ce576eaa655f87"
-      ]
-    },
-    {
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-      "path": "galleries/progressions/l0-04.png",
-      "representation_ids": [
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-      "path": "galleries/progressions/l0-05.png",
-      "representation_ids": [
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-      "representation_ids": [
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-      "path": "galleries/progressions/l0-07.png",
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-        "g_f82bbfad465c7003d0f8",
-        "g_fce2058b6f5bc83c5756"
-      ]
-    },
-    {
-      "level": "L1",
-      "page": 1,
-      "path": "galleries/progressions/l1-01.png",
-      "representation_ids": [
-        "l1_01_translate__a1",
-        "l1_01_translate__a2",
-        "l1_01_translate__b1",
-        "l1_01_translate__b2",
-        "l1_02_rotate__a1",
-        "l1_02_rotate__a2",
-        "l1_02_rotate__b1",
-        "l1_02_rotate__b2",
-        "l1_02_rotate__c1",
-        "l1_03_mirror__a1",
-        "l1_03_mirror__a2",
-        "l1_03_mirror__b1"
-      ]
-    },
-    {
-      "level": "L1",
-      "page": 2,
-      "path": "galleries/progressions/l1-02.png",
-      "representation_ids": [
-        "l1_03_mirror__b2",
-        "l1_04_center_align__a1",
-        "l1_04_center_align__a2",
-        "l1_04_center_align__b1",
-        "l1_04_center_align__b2",
-        "l1_04_center_align__c1",
-        "l1_05_edge_align__a1",
-        "l1_05_edge_align__a2",
-        "l1_05_edge_align__b1",
-        "l1_05_edge_align__c1",
-        "l1_05_edge_align__c2",
-        "l1_06_gap__a1"
-      ]
-    },
-    {
-      "level": "L1",
-      "page": 3,
-      "path": "galleries/progressions/l1-03.png",
-      "representation_ids": [
-        "l1_06_gap__a2",
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-        "l1_06_gap__b2",
-        "l1_06_gap__c1",
-        "l1_06_gap__c2",
-        "l1_07_tangency__a1",
-        "l1_07_tangency__a2",
-        "l1_07_tangency__b1",
-        "l1_07_tangency__b2",
-        "l1_07_tangency__c1",
-        "l1_07_tangency__c2",
-        "l1_08_overlap__a1"
-      ]
-    },
-    {
-      "level": "L1",
-      "page": 4,
-      "path": "galleries/progressions/l1-04.png",
-      "representation_ids": [
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-        "l1_08_overlap__b1",
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-        "l1_08_overlap__c2",
-        "l1_09_connect__a1",
-        "l1_09_connect__a2",
-        "l1_09_connect__b1",
-        "l1_09_connect__b2",
-        "l1_09_connect__c1",
-        "l1_09_connect__c2",
-        "l1_10_path_append__a1"
-      ]
-    },
-    {
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-      "page": 5,
-      "path": "galleries/progressions/l1-05.png",
-      "representation_ids": [
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-        "l1_10_path_append__c2",
-        "l1_11_signed_turns__a1",
-        "l1_11_signed_turns__a2",
-        "l1_11_signed_turns__b1",
-        "l1_11_signed_turns__b2",
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-        "l1_11_signed_turns__c2",
-        "l1_12_curved_transition__a1"
-      ]
-    },
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-      "level": "L4",
-      "page": 3,
-      "path": "galleries/progressions/l4-03.png",
-      "representation_ids": [
-        "crossing_oblique_60deg",
-        "crossing_tapered",
-        "crossing_triple_six_arm",
-        "directional_coupler_asymmetric_2x2",
-        "directional_coupler_bent_straight_2x2",
-        "directional_coupler_bow_2x2",
-        "directional_coupler_concentric_90deg_2x2",
-        "directional_coupler_dual_window_2x2",
-        "directional_coupler_open_pulley_2x2",
-        "directional_coupler_sbend_2x2",
-        "directional_coupler_straight_to_90deg_2x2",
-        "directional_side_tap_coupler_1x2"
-      ]
-    },
-    {
-      "level": "L4",
-      "page": 4,
-      "path": "galleries/progressions/l4-04.png",
-      "representation_ids": [
-        "disk_bus_all_pass",
-        "double_sidewall_tooth_array",
-        "dual_pol_lattice_coupler_2x2",
-        "echelle_grating_fpr_1x4",
-        "edge_coupler_dual_tip_fork_2x1",
-        "edge_coupler_multistage",
-        "elliptical_apodized_focusing_grating_1x0",
-        "fishbone_subwavelength_converter",
-        "focusing_grating_coupler_arcs",
-        "interdigitated_gap_coupler_2x2",
-        "mmi_block_1x2",
-        "mmi_coupler_2x2"
-      ]
-    },
-    {
-      "level": "L4",
-      "page": 5,
-      "path": "galleries/progressions/l4-05.png",
-      "representation_ids": [
-        "mmi_crossing_2x2",
-        "mmi_fanout_1x2",
-        "mmi_lens_2x3",
-        "mmi_splitter_1x4",
-        "mzi_balanced_curved",
-        "mzi_dual_output_2x2",
-        "mzi_folded_vertical_1x1",
-        "mzi_hexagonal",
-        "mzi_unbalanced",
-        "nanobeam_hole_defect_cavity_1x1",
-        "nanobeam_sidewall_defect_cavity_1x1",
-        "orthogonal_mmi_hybrid_2x2"
-      ]
-    },
-    {
-      "level": "L4",
-      "page": 6,
-      "path": "galleries/progressions/l4-06.png",
-      "representation_ids": [
-        "paired_nanobeam_teeth",
-        "phase_shifted_bragg_cavity_1x1",
-        "photonic_crystal_line_defect_cavity_1x1",
-        "polarization_splitter_rotator_1x2",
-        "pulley_ring_bus",
-        "racetrack_bus",
-        "ring_bus_all_pass",
-        "ring_bus_drop",
-        "sampled_dual_scale_bragg_cavity_1x1",
-        "sampled_superstructure_bragg_1x1",
-        "segmented_swg_grating_coupler_1x0",
-        "segmented_swg_ring_bus_1x1"
-      ]
-    },
-    {
-      "level": "L4",
-      "page": 7,
-      "path": "galleries/progressions/l4-07.png",
-      "representation_ids": [
-        "segmented_trident_edge_coupler_3x1",
-        "semicircular_fpr_2x5",
-        "side_coupled_nanobeam_cavity_1x1",
-        "sidewall_tooth_array",
-        "sinusoidal_corrugated_waveguide_1x1",
-        "slot_arm_mzi_1x1",
-        "slot_directional_coupler_2x2",
-        "slot_to_strip_converter_1x1",
-        "slot_to_swg_converter_1x1",
-        "slot_waveguide_crossing_2x2",
-        "slotted_ring_bus_1x1",
-        "splitter_tree_1x4"
-      ]
-    },
-    {
-      "level": "L4",
-      "page": 8,
-      "path": "galleries/progressions/l4-08.png",
-      "representation_ids": [
-        "staggered_double_row_swg_1x1",
-        "star_coupler_2x4",
-        "star_fan_1x4",
-        "stirap_mode_pol_3rail",
-        "strip_rib_slab_converter_1x1",
-        "strip_to_double_slot_converter_1x1",
-        "strip_to_swg_converter_1x1",
-        "suspended_fishbone_edge_coupler_1x1",
-        "swg_arm_mzi_1x1",
-        "swg_assisted_asymmetric_mode_splitter_1x2",
-        "swg_crossing_2x2",
-        "swg_directional_coupler_2x2"
-      ]
-    },
-    {
-      "level": "L4",
-      "page": 9,
-      "path": "galleries/progressions/l4-09.png",
-      "representation_ids": [
-        "swg_y_splitter_1x2",
-        "t_junction_splitter_1x2",
-        "tapered_mmi_splitter_1x2",
-        "tapered_uniform_grating_coupler",
-        "teardrop_hub_splitter_1x2",
-        "three_arm_interferometer_1x1",
-        "three_rail_directional_coupler_3x3",
-        "three_rail_mediated_coupler_2x2",
-        "three_rail_supermode_converter_1x1",
-        "tilted_staggered_sidewall_bragg_1x1",
-        "trident_hub_splitter_1x3",
-        "y_branch_smooth_1x2"
-      ]
-    }
-  ],
-  "progression_page_count": 47,
-  "progression_representation_count": 546,
-  "state_slots": [
-    "r00",
-    "r01",
-    "r02",
-    "r03",
-    "r04",
-    "r05",
-    "r06",
-    "r07"
-  ]
-}
diff --git a/depth-v1/metadata/manifest.json b/depth-v1/metadata/manifest.json
deleted file mode 100644
index 3d01efa6f2f27061ba3f4bb35cc9be24b06cc8e5..0000000000000000000000000000000000000000
--- a/depth-v1/metadata/manifest.json
+++ /dev/null
@@ -1,131 +0,0 @@
-{
-  "anchor_only_parent_ids": [
-    "l2_02_rotated_edge_aligned_cluster__s03__proposal_b"
-  ],
-  "anchor_only_representation_count": 1,
-  "approved_representation_count": 547,
-  "complete_depth_representation_count": 546,
-  "core_extra_row_count": 191,
-  "core_schema_version": "pixcell-image-code-curriculum-v1",
-  "depth_generator_version": "pixcell-depth-v1-builder-1",
-  "depth_schema_version": "pixcell-depth-row-v1",
-  "geometry_row_count": 4369,
-  "geometry_state_count": 8,
-  "logical_release_sha256": "676c49134d4d044c7d84426cf8eeecf09302e74ca4aa548956f14b7631a4d80b",
-  "logical_row_order": "id_ascending",
-  "parent_core_digest_sha256": "e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89",
-  "realization_counts": {
-    "r00": 547,
-    "r01": 546,
-    "r02": 546,
-    "r03": 546,
-    "r04": 546,
-    "r05": 546,
-    "r06": 546,
-    "r07": 546
-  },
-  "release_name": "depth-v1",
-  "row_count": 4560,
-  "schema_version": "pixcell-depth-manifest-v1",
-  "shards": [
-    {
-      "bytes": 30433999,
-      "index": 0,
-      "path": "data/train-00000-of-00007.parquet",
-      "rows": 512,
-      "sha256": "c2d45c383c1ce7323d322f0aa9cbf6611b2e19437bf8e229be163b4918254973",
-      "split": "train",
-      "total": 7
-    },
-    {
-      "bytes": 21436090,
-      "index": 1,
-      "path": "data/train-00001-of-00007.parquet",
-      "rows": 512,
-      "sha256": "c51c77d5f076bd6960b1452eeccf351fecff58e98189c7ab593ed4d648c617d0",
-      "split": "train",
-      "total": 7
-    },
-    {
-      "bytes": 9497154,
-      "index": 2,
-      "path": "data/train-00002-of-00007.parquet",
-      "rows": 512,
-      "sha256": "24c4ea04eb13ab8ccab55f4301cf8b8292eb2a23d9dbe5bf5a7b1743c7aba1ae",
-      "split": "train",
-      "total": 7
-    },
-    {
-      "bytes": 8309409,
-      "index": 3,
-      "path": "data/train-00003-of-00007.parquet",
-      "rows": 512,
-      "sha256": "73929f04bdaed1e9ccb72b9c4a53910da71429e32cfb1a6c90c8154c9849ee8b",
-      "split": "train",
-      "total": 7
-    },
-    {
-      "bytes": 9214604,
-      "index": 4,
-      "path": "data/train-00004-of-00007.parquet",
-      "rows": 512,
-      "sha256": "7c59c6af12beebd505c2b4dabdd398498e9a8c218805e89f5af5a9da451327de",
-      "split": "train",
-      "total": 7
-    },
-    {
-      "bytes": 9470813,
-      "index": 5,
-      "path": "data/train-00005-of-00007.parquet",
-      "rows": 512,
-      "sha256": "e0786acb9dd5ea1c05fccab30b7292dd89d59e402bfb52321af8f57f6ba1631f",
-      "split": "train",
-      "total": 7
-    },
-    {
-      "bytes": 5831429,
-      "index": 6,
-      "path": "data/train-00006-of-00007.parquet",
-      "rows": 396,
-      "sha256": "425467eeeda20953ec62514b447de3034b215c6b7b1d15fa7ff46c425b3b7432",
-      "split": "train",
-      "total": 7
-    },
-    {
-      "bytes": 8963776,
-      "index": 0,
-      "path": "data/validation-00000-of-00003.parquet",
-      "rows": 512,
-      "sha256": "8e823f8ce2dbacfd402e1e4db646fef316f165d362b8928ccdb0d1079a792d22",
-      "split": "validation",
-      "total": 3
-    },
-    {
-      "bytes": 9198283,
-      "index": 1,
-      "path": "data/validation-00001-of-00003.parquet",
-      "rows": 512,
-      "sha256": "8b974b438ecda3d3f53d5dc4b84969d0ef68fa40aecde2195a081726c39a202d",
-      "split": "validation",
-      "total": 3
-    },
-    {
-      "bytes": 994310,
-      "index": 2,
-      "path": "data/validation-00002-of-00003.parquet",
-      "rows": 68,
-      "sha256": "77109cf40718db1e33c25d4998c22aca1d0f13c4ffe01b271e0b36fd22f14a30",
-      "split": "validation",
-      "total": 3
-    }
-  ],
-  "split_counts": {
-    "train": 3468,
-    "validation": 1092
-  },
-  "split_role_counts": {
-    "core-extra": 191,
-    "train": 3277,
-    "validation": 1092
-  }
-}
diff --git a/depth-v1/scripts/build.py b/depth-v1/scripts/build.py
deleted file mode 100644
index f95baa5399e2d22aa6a4d7f57100bd56dd4eb706..0000000000000000000000000000000000000000
--- a/depth-v1/scripts/build.py
+++ /dev/null
@@ -1,1948 +0,0 @@
-#!/usr/bin/env python3
-"""Build PixCell depth-v1 from the immutable core-v1 Parquet release.
-
-The builder changes no core-v1 artifact. It takes the unique semantic row for
-each approved grammar as an anchor, discovers safe model-visible parameter
-axes by execution, emits the fixed r01-r07 schedule where such an axis exists,
-and publishes only descendants that pass the source, runtime, port,
-structural, and causal-signal gates.
-"""
-
-from __future__ import annotations
-
-import argparse
-import ast
-import copy
-import hashlib
-import io
-import json
-import math
-import os
-import shutil
-import sys
-import tempfile
-import time
-import warnings
-from collections import Counter, defaultdict
-from dataclasses import asdict, dataclass, replace
-from pathlib import Path
-from typing import Any, Mapping, Sequence
-
-import pyarrow.parquet as pq
-from datasets import Dataset
-from datasets.utils.logging import disable_progress_bar
-from PIL import Image
-
-
-SCRIPT_ROOT = Path(__file__).resolve().parent
-DEPTH_ROOT = SCRIPT_ROOT.parent
-DATASET_ROOT = DEPTH_ROOT.parent
-CORE_SCRIPTS = DATASET_ROOT / "scripts"
-sys.path.insert(0, str(CORE_SCRIPTS))
-sys.path.insert(0, str(SCRIPT_ROOT))
-
-from _shared import (  # noqa: E402
-    LEVELS,
-    ReleaseError,
-    canonical_json,
-    forbidden_release_imports,
-    normalized_d4_sha256,
-    primitive_calls,
-    purity_violations,
-    sha256_bytes,
-    sha256_file,
-    top_level_parameters,
-)
-from contracts import (  # noqa: E402
-    CandidateSpec,
-    ParameterAxis,
-    ParameterClass,
-    ParameterContract,
-    candidate_specs,
-    classify_parameters,
-    normalized_grammar_hash,
-    rewrite_parameters,
-    top_level_literals,
-)
-from render_galleries import render_galleries  # noqa: E402
-from runtime import (  # noqa: E402
-    CandidateGateReport,
-    RuntimeGateError,
-    derive_optical_port_specs,
-    execute_program,
-    gate_ports,
-    mask_delta,
-    render_geometry,
-    render_views,
-    validate_candidate,
-)
-from schema import (  # noqa: E402
-    ANCHOR_ONLY_PARENT_IDS,
-    APPROVED_REPRESENTATION_COUNT,
-    CORE_ROW_COLUMNS,
-    CORE_ROW_COUNT,
-    DEPTH_ELIGIBLE_COUNT,
-    DEPTH_ROW_COLUMNS,
-    DEPTH_SCHEMA_VERSION,
-    EXPECTED_SPLIT_COUNTS,
-    FROZEN_LOGICAL_RELEASE_SHA256,
-    bind_logical_row_sha256,
-    build_freeze,
-    build_manifest,
-    canonical_sha256,
-    depth_features,
-    plan_shards,
-    sha256_file as depth_sha256_file,
-    validate_depth_population,
-    write_checksums,
-    write_json,
-)
-
-
-CORE_DIGEST = "e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89"
-CORE_GRAMMAR_CATALOG_SHA256 = (
-    "2b833651a688c9cd33b3fcc5f4b79fd45307b2a28060a583ef9a1464eb8d89a1"
-)
-GENERATOR_VERSION = "pixcell-depth-v1-builder-1"
-MAX_ROWS_PER_SHARD = 512
-GENERATED_DIRECTORIES = ("data", "factory", "galleries", "metadata")
-SPLIT_BY_SLOT = {
-    **{slot: "train" for slot in range(0, 6)},
-    **{slot: "validation" for slot in range(6, 8)},
-}
-warnings.filterwarnings(
-    "ignore",
-    message=r"bend_euler angle should be 90 or 180.*",
-    category=UserWarning,
-)
-warnings.filterwarnings(
-    "ignore",
-    message=r"\{.*\} ignored for cross_section .*",
-    category=UserWarning,
-)
-
-
-class DepthBuildError(RuntimeError):
-    """Raised when the frozen depth schedule cannot be produced honestly."""
-
-
-@dataclass(frozen=True)
-class _MaterializationSuccess:
-    """One gate-clean candidate cached within a single anchor preparation."""
-
-    updates: tuple[tuple[str, int | float], ...]
-    code: str
-    runtime: dict[str, Any]
-    report: CandidateGateReport
-    source_evidence: dict[str, Any]
-    derived_ports: bool
-
-
-@dataclass(frozen=True)
-class _MaterializationFailure:
-    """A deterministic candidate failure cached to avoid repeating execution."""
-
-    detail: str
-
-
-_MaterializationOutcome = _MaterializationSuccess | _MaterializationFailure
-_MaterializationCache = dict[tuple[str, bool], _MaterializationOutcome]
-
-
-@dataclass(frozen=True)
-class _QualificationFailure:
-    """One aggregate qualification finding for a semantic anchor."""
-
-    anchor_id: str
-    grammar_id: str
-    stage: str
-    reason: str
-
-    def to_dict(self) -> dict[str, str]:
-        return asdict(self)
-
-
-@dataclass(frozen=True)
-class _PreparedAnchor:
-    """All-or-nothing result of preparing one anchor's depth schedule."""
-
-    anchor_id: str
-    grammar_id: str
-    contract_record: dict[str, Any] | None
-    plan_record: dict[str, Any] | None
-    descendants: tuple[dict[str, Any], ...]
-    outcome: str
-    failure: _QualificationFailure | None = None
-
-    def __post_init__(self) -> None:
-        if self.outcome == "complete":
-            if len(self.descendants) != 7:
-                raise ValueError(
-                    f"{self.anchor_id}: complete preparation must have seven rows"
-                )
-            if self.contract_record is None or self.plan_record is None:
-                raise ValueError(
-                    f"{self.anchor_id}: complete preparation lacks release records"
-                )
-            return
-        if self.outcome not in {"anchor_only", "fatal"}:
-            raise ValueError(f"{self.anchor_id}: unknown preparation outcome")
-        if self.descendants:
-            raise ValueError(
-                f"{self.anchor_id}: incomplete preparation retained partial rows"
-            )
-        if self.failure is None:
-            raise ValueError(
-                f"{self.anchor_id}: incomplete preparation lacks a failure"
-            )
-        if self.outcome == "anchor_only":
-            if self.contract_record is None or self.plan_record is None:
-                raise ValueError(
-                    f"{self.anchor_id}: anchor-only preparation lacks release records"
-                )
-        elif self.contract_record is not None or self.plan_record is not None:
-            raise ValueError(
-                f"{self.anchor_id}: fatal preparation retained release records"
-            )
-
-
-def _hash_id(prefix: str, *values: str) -> str:
-    payload = "\0".join(values).encode("utf-8")
-    return f"{prefix}_{hashlib.sha256(payload).hexdigest()[:24]}"
-
-
-def _core_paths(dataset_root: Path) -> list[Path]:
-    paths: list[Path] = []
-    for level in LEVELS:
-        matches = sorted((dataset_root / "data" / level).glob("train-*.parquet"))
-        if len(matches) != 1:
-            raise DepthBuildError(
-                f"{level}: expected one frozen core Parquet shard, got {len(matches)}"
-            )
-        paths.append(matches[0])
-    return paths
-
-
-def _load_core(dataset_root: Path) -> tuple[list[dict[str, Any]], dict[str, Any]]:
-    freeze_path = dataset_root / "factory" / "core-v1" / "freeze.json"
-    freeze = json.loads(freeze_path.read_text(encoding="utf-8"))
-    if freeze.get("release_digest_sha256") != CORE_DIGEST:
-        raise DepthBuildError("core-v1 logical digest differs from depth-v1 binding")
-    grammar_path = dataset_root / "factory" / "core-v1" / "grammar_catalog.json"
-    if sha256_file(grammar_path) != CORE_GRAMMAR_CATALOG_SHA256:
-        raise DepthBuildError("core-v1 grammar catalog differs from depth-v1 binding")
-    references = freeze.get("reference_artifacts")
-    if not isinstance(references, dict) or not references:
-        raise DepthBuildError("core-v1 freeze has no reference artifact map")
-    for relative, expected in sorted(references.items()):
-        path = dataset_root / relative
-        if not path.is_file() or sha256_file(path) != expected:
-            raise DepthBuildError(f"frozen core-v1 artifact drift: {relative}")
-
-    rows: list[dict[str, Any]] = []
-    for path in _core_paths(dataset_root):
-        table = pq.read_table(path)
-        if tuple(table.schema.names) != CORE_ROW_COLUMNS:
-            raise DepthBuildError(f"core schema drift: {path.relative_to(dataset_root)}")
-        rows.extend(table.to_pylist())
-    if len(rows) != CORE_ROW_COUNT:
-        raise DepthBuildError(f"core row count {len(rows)} != {CORE_ROW_COUNT}")
-    if len({str(row["id"]) for row in rows}) != len(rows):
-        raise DepthBuildError("core row IDs are not unique")
-    return rows, freeze
-
-
-def _core_snapshot(
-    dataset_root: Path,
-    freeze: Mapping[str, Any],
-) -> dict[str, str]:
-    references = freeze["reference_artifacts"]
-    return {
-        relative: sha256_file(dataset_root / relative)
-        for relative in sorted(references)
-    }
-
-
-def _path_contains(ancestor: Path, descendant: Path) -> bool:
-    return ancestor == descendant or ancestor in descendant.parents
-
-
-def _protected_core_roots(
-    dataset_root: Path,
-    freeze: Mapping[str, Any],
-) -> tuple[Path, ...]:
-    references = freeze.get("reference_artifacts")
-    if not isinstance(references, dict) or not references:
-        raise DepthBuildError("core-v1 freeze has no reference artifact map")
-    roots = {dataset_root / "factory" / "core-v1"}
-    for relative in references:
-        raw = Path(str(relative))
-        if not raw.parts or raw.is_absolute() or ".." in raw.parts:
-            raise DepthBuildError(
-                f"core-v1 freeze has an unsafe reference path: {relative!r}"
-            )
-        roots.add(dataset_root / raw.parts[0])
-    return tuple(sorted((path.resolve() for path in roots), key=str))
-
-
-def _assert_safe_output_path(
-    dataset_root: Path,
-    output: Path,
-    freeze: Mapping[str, Any],
-) -> None:
-    """Keep depth output disjoint from every frozen core subtree."""
-
-    resolved_dataset = dataset_root.expanduser().resolve()
-    resolved_output = output.expanduser().resolve()
-    if _path_contains(resolved_output, resolved_dataset):
-        raise DepthBuildError(
-            "depth output cannot equal or contain the parent dataset root"
-        )
-    conflicts = [
-        root
-        for root in _protected_core_roots(resolved_dataset, freeze)
-        if _path_contains(root, resolved_output)
-        or _path_contains(resolved_output, root)
-    ]
-    if conflicts:
-        relative_conflicts = [
-            (
-                path.relative_to(resolved_dataset).as_posix()
-                if _path_contains(resolved_dataset, path)
-                else str(path)
-            )
-            for path in conflicts
-        ]
-        raise DepthBuildError(
-            "depth output overlaps frozen core/reference roots: "
-            + ", ".join(relative_conflicts)
-        )
-
-
-def _semantic_anchors(
-    rows: Sequence[Mapping[str, Any]],
-) -> tuple[list[dict[str, Any]], dict[str, dict[str, Any]]]:
-    grouped: dict[str, list[Mapping[str, Any]]] = defaultdict(list)
-    for row in rows:
-        grouped[str(row["grammar_id"])].append(row)
-    anchors: list[dict[str, Any]] = []
-    by_grammar: dict[str, dict[str, Any]] = {}
-    for grammar_id, members in sorted(grouped.items()):
-        semantic = [row for row in members if row["variation_role"] == "semantic"]
-        if len(semantic) != 1:
-            raise DepthBuildError(
-                f"{grammar_id}: expected one semantic anchor, got {len(semantic)}"
-            )
-        anchor = dict(semantic[0])
-        anchors.append(anchor)
-        by_grammar[grammar_id] = anchor
-    if len(anchors) != 547:
-        raise DepthBuildError(f"semantic anchor count {len(anchors)} != 547")
-    anchors.sort(key=lambda row: (str(row["level"]), str(row["id"])))
-    return anchors, by_grammar
-
-
-def _literal_map(code: str) -> dict[str, Any]:
-    return {item.name: item.value for item in top_level_literals(code)}
-
-
-class _LiteralRewriter(ast.NodeTransformer):
-    def __init__(self, updates: Mapping[str, Any]) -> None:
-        self.updates = dict(updates)
-        self.rewritten: set[str] = set()
-
-    def visit_Module(self, node: ast.Module) -> ast.Module:  # noqa: N802
-        rewritten: list[ast.stmt] = []
-        for child in node.body:
-            if isinstance(child, (ast.Assign, ast.AnnAssign)):
-                targets = (
-                    child.targets if isinstance(child, ast.Assign) else [child.target]
-                )
-                if len(targets) == 1 and isinstance(targets[0], ast.Name):
-                    name = targets[0].id
-                    if name in self.updates:
-                        expression = ast.parse(
-                            repr(self.updates[name]),
-                            mode="eval",
-                        ).body
-                        child.value = ast.copy_location(expression, child.value)
-                        self.rewritten.add(name)
-            rewritten.append(child)
-        node.body = rewritten
-        return node
-
-
-def _rewrite_literals(code: str, updates: Mapping[str, Any]) -> str:
-    transformer = _LiteralRewriter(updates)
-    tree = transformer.visit(ast.parse(code))
-    if transformer.rewritten != set(updates):
-        missing = sorted(set(updates) - transformer.rewritten)
-        raise DepthBuildError(f"literal update targets are absent: {missing}")
-    ast.fix_missing_locations(tree)
-    return ast.unparse(tree) + "\n"
-
-
-def _source_gate(
-    anchor_code: str,
-    candidate_code: str,
-    *,
-    expected_changed: set[str],
-) -> dict[str, Any]:
-    try:
-        compile(candidate_code, "<pixcell-depth-candidate>", "exec")
-    except SyntaxError as exc:
-        raise DepthBuildError(f"candidate does not compile: {exc}") from exc
-    violations = purity_violations(candidate_code)
-    if violations:
-        raise DepthBuildError(f"candidate purity violations: {violations}")
-    forbidden = forbidden_release_imports(candidate_code)
-    if forbidden:
-        raise DepthBuildError(f"candidate imports forbidden packages: {forbidden}")
-    before = _literal_map(anchor_code)
-    after = _literal_map(candidate_code)
-    if before.keys() != after.keys():
-        raise DepthBuildError("top-level literal set changed")
-    observed_changed = {name for name in before if before[name] != after[name]}
-    if observed_changed != expected_changed:
-        raise DepthBuildError(
-            "candidate literal delta differs from contract: "
-            f"observed={sorted(observed_changed)} "
-            f"expected={sorted(expected_changed)}"
-        )
-    before_hash = normalized_grammar_hash(anchor_code)
-    after_hash = normalized_grammar_hash(candidate_code)
-    if before_hash != after_hash:
-        raise DepthBuildError("normalized source grammar changed")
-    if primitive_calls(anchor_code) != primitive_calls(candidate_code):
-        raise DepthBuildError("primitive API set changed")
-    return {
-        "changed_literals": sorted(observed_changed),
-        "normalized_grammar_hash": before_hash,
-    }
-
-
-def _shape_axis_pair(left: str, right: str) -> bool:
-    pair = {left.lower(), right.lower()}
-    if pair == {"length_um", "width_um"}:
-        return True
-    for x_suffix, y_suffix in (
-        ("_x_um", "_y_um"),
-        ("_x", "_y"),
-    ):
-        if left.lower().endswith(x_suffix) and right.lower().endswith(y_suffix):
-            return left.lower()[: -len(x_suffix)] == right.lower()[: -len(y_suffix)]
-        if right.lower().endswith(x_suffix) and left.lower().endswith(y_suffix):
-            return right.lower()[: -len(x_suffix)] == left.lower()[: -len(y_suffix)]
-    return False
-
-
-def _coalesce_equal_shape_axes(
-    contract: ParameterContract,
-) -> ParameterContract:
-    values = {item.name: item.value for item in contract.assignments}
-    axes = list(contract.axes)
-    consumed: set[int] = set()
-    merged: list[ParameterAxis] = []
-    for index, axis in enumerate(axes):
-        if index in consumed:
-            continue
-        members = [axis]
-        consumed.add(index)
-        changed = True
-        while changed:
-            changed = False
-            names = [name for item in members for name in item.names]
-            for other_index, other in enumerate(axes):
-                if other_index in consumed:
-                    continue
-                if any(
-                    _shape_axis_pair(left, right)
-                    and math.isclose(
-                        float(values[left]),
-                        float(values[right]),
-                        rel_tol=0.0,
-                        abs_tol=1e-9,
-                    )
-                    for left in names
-                    for right in other.names
-                ):
-                    members.append(other)
-                    consumed.add(other_index)
-                    changed = True
-        if len(members) == 1:
-            merged.append(axis)
-            continue
-        names = tuple(sorted({name for item in members for name in item.names}))
-        merged.append(
-            ParameterAxis(
-                axis_id="axis:equal:" + "+".join(names),
-                names=names,
-                parameter_class=axis.parameter_class,
-                priority=max(item.priority for item in members) + 1,
-                dependency_kind="equal_shape_axes",
-            )
-        )
-    merged.sort(key=lambda item: (-item.priority, item.axis_id))
-    return replace(contract, axes=tuple(merged))
-
-
-def _semantic_relation_errors(
-    anchor_code: str,
-    candidate_code: str,
-) -> list[str]:
-    before = _literal_map(anchor_code)
-    after = _literal_map(candidate_code)
-    names = sorted(
-        name
-        for name, value in before.items()
-        if name.endswith("_um")
-        and isinstance(value, (int, float))
-        and not isinstance(value, bool)
-        and float(value) > 0
-    )
-    errors: list[str] = []
-    for index, left in enumerate(names):
-        for right in names[index + 1 :]:
-            before_left = float(before[left])
-            before_right = float(before[right])
-            after_left = float(after[left])
-            after_right = float(after[right])
-            if _shape_axis_pair(left, right) and math.isclose(
-                before_left,
-                before_right,
-                rel_tol=0.0,
-                abs_tol=1e-9,
-            ):
-                if not math.isclose(
-                    after_left,
-                    after_right,
-                    rel_tol=0.0,
-                    abs_tol=1e-7,
-                ):
-                    errors.append(f"equal shape axes separated: {left}, {right}")
-    return errors
-
-
-def _port_signature(runtime: Mapping[str, Any]) -> dict[str, Any]:
-    ports = [
-        {
-            "center": [float(value) for value in port["center"]],
-            "name": str(port["name"]),
-            "orientation": float(port["orientation"]),
-            "width": float(port["width"]),
-        }
-        for port in runtime["ports"]
-    ]
-    return {
-        "count": len(ports),
-        "names": [port["name"] for port in ports],
-        "ports": ports,
-    }
-
-
-def _candidate_topology(runtime: Mapping[str, Any]) -> dict[str, Any]:
-    intervals = runtime.get("edge_material_intervals", {})
-    return {
-        "edge_material_interval_counts": {
-            side: len(values) for side, values in sorted(intervals.items())
-        },
-        "port_signature": _port_signature(runtime),
-        "runtime_structural_metrics": runtime["structural_metrics"],
-    }
-
-
-def _parameter_payload(
-    anchor: Mapping[str, Any],
-    candidate_code: str,
-) -> dict[str, Any]:
-    """Preserve the core parameter contract while updating live values."""
-
-    try:
-        payload = copy.deepcopy(json.loads(str(anchor["parameters_json"])))
-    except (TypeError, json.JSONDecodeError) as exc:
-        raise DepthBuildError(f"{anchor['id']}: malformed core parameters") from exc
-    if set(payload) != {"fixed_context", "parameters"}:
-        raise DepthBuildError(
-            f"{anchor['id']}: unexpected core parameter payload keys"
-        )
-    parameters = payload.get("parameters")
-    fixed_context = payload.get("fixed_context")
-    if not isinstance(parameters, dict) or not isinstance(fixed_context, dict):
-        raise DepthBuildError(
-            f"{anchor['id']}: malformed core parameter payload sections"
-        )
-    live_values = top_level_parameters(candidate_code)
-    missing = sorted(set(parameters) - set(live_values))
-    if missing:
-        raise DepthBuildError(
-            f"{anchor['id']}: declared parameters absent from candidate: {missing}"
-        )
-    payload["parameters"] = {
-        name: copy.deepcopy(live_values[name]) for name in parameters
-    }
-    return payload
-
-
-def _interpolate_updates(
-    anchor_values: Mapping[str, Any],
-    target: Mapping[str, int | float],
-    ratio: float,
-) -> dict[str, int | float]:
-    updates: dict[str, int | float] = {}
-    for name, target_value in target.items():
-        old_value = anchor_values[name]
-        raw = float(old_value) + ratio * (float(target_value) - float(old_value))
-        if isinstance(old_value, int) and not isinstance(old_value, bool):
-            direction = 1 if float(target_value) >= float(old_value) else -1
-            value = int(round(raw))
-            if value == old_value:
-                value = int(old_value) + direction
-            updates[name] = max(1, value)
-        else:
-            value = (
-                round(round(raw / 0.002) * 0.002, 6)
-                if name.endswith("_um")
-                else round(raw, 8)
-            )
-            if value == -0.0:
-                value = 0.0
-            updates[name] = value
-    return updates
-
-
-def _candidate_attempts(
-    anchor_values: Mapping[str, Any],
-    target: Mapping[str, int | float],
-) -> list[dict[str, int | float]]:
-    attempts: list[dict[str, int | float]] = []
-    seen: set[str] = set()
-    for ratio in (
-        1.0,
-        0.75,
-        0.50,
-        0.35,
-        0.25,
-        0.15,
-        1.25,
-        1.50,
-        2.00,
-        3.00,
-        4.00,
-        -0.15,
-        -0.25,
-        -0.35,
-        -0.50,
-        -0.75,
-        -1.00,
-        -2.00,
-        -3.00,
-        -4.00,
-    ):
-        updates = _interpolate_updates(anchor_values, target, ratio)
-        key = canonical_json(updates)
-        if key not in seen and any(anchor_values[name] != value for name, value in updates.items()):
-            attempts.append(updates)
-            seen.add(key)
-    if target and all(
-        isinstance(anchor_values[name], int)
-        and not isinstance(anchor_values[name], bool)
-        for name in target
-    ):
-        for step in (1, 2, 3, 4):
-            updates = {}
-            for name, target_value in target.items():
-                old_value = int(anchor_values[name])
-                if int(target_value) > old_value:
-                    direction = 1
-                elif int(target_value) < old_value:
-                    direction = -1
-                else:
-                    direction = 1
-                updates[name] = max(2, old_value + direction * step)
-            key = canonical_json(updates)
-            if key not in seen and any(
-                anchor_values[name] != value for name, value in updates.items()
-            ):
-                attempts.append(updates)
-                seen.add(key)
-    return attempts
-
-
-def _materialize(
-    anchor: Mapping[str, Any],
-    anchor_runtime: Mapping[str, Any],
-    updates: Mapping[str, int | float],
-    *,
-    allow_component_count_change: bool = False,
-    anchor_model_png: bytes | None = None,
-) -> tuple[str, dict[str, Any], CandidateGateReport, dict[str, Any], bool]:
-    anchor_code = str(anchor["code"])
-    code = rewrite_parameters(anchor_code, updates)
-    relation_errors = _semantic_relation_errors(anchor_code, code)
-    if relation_errors:
-        raise DepthBuildError("; ".join(relation_errors))
-    derived_ports = "optical_port_specs" in _literal_map(anchor_code)
-    derived_updates: dict[str, Any] = {}
-    if derived_ports:
-        initial_runtime = execute_program(code, isolation="in_process")
-        specs = derive_optical_port_specs(anchor_runtime, initial_runtime)
-        derived_updates["optical_port_specs"] = specs
-        code = _rewrite_literals(code, derived_updates)
-    expected_changed = set(updates)
-    for name, value in derived_updates.items():
-        if _literal_map(anchor_code)[name] != value:
-            expected_changed.add(name)
-    source_evidence = _source_gate(
-        anchor_code,
-        code,
-        expected_changed=expected_changed,
-    )
-    runtime = execute_program(code, isolation="in_process")
-    report = validate_candidate(
-        anchor_runtime,
-        runtime,
-        minimum_changed_fraction=0.002,
-        maximum_changed_fraction=1.0,
-        require_same_connected_components=not allow_component_count_change,
-        require_same_holes=not allow_component_count_change,
-        require_bbox_edge_ports=str(anchor["level"]) == "L4",
-    )
-    if not report.passed:
-        raise DepthBuildError("; ".join(report.errors))
-    before_footprint = tuple(float(value) for value in anchor_runtime["bbox_span_um"])
-    after_footprint = tuple(float(value) for value in runtime["bbox_span_um"])
-    footprint_changed = any(
-        not math.isclose(before, after, rel_tol=0.0, abs_tol=1e-9)
-        for before, after in zip(before_footprint, after_footprint, strict=True)
-    )
-    normalized_input_delta: float | None = None
-    if not footprint_changed:
-        if anchor_model_png is None:
-            anchor_model_png = render_geometry(
-                anchor_runtime,
-                mode="maximum_visibility",
-            ).png_bytes
-        candidate_model_png = render_geometry(
-            runtime,
-            mode="maximum_visibility",
-        ).png_bytes
-        normalized_input_delta = mask_delta(
-            anchor_model_png,
-            candidate_model_png,
-        ).changed_fraction
-        if normalized_input_delta < 0.002:
-            raise DepthBuildError(
-                "candidate has no observable model-input change: "
-                f"normalized_changed_fraction={normalized_input_delta:.6f}"
-            )
-    source_evidence["model_input_signal"] = {
-        "footprint_changed": footprint_changed,
-        "normalized_changed_fraction": normalized_input_delta,
-    }
-    return code, runtime, report, source_evidence, derived_ports
-
-
-def _validate_repeated_element_count(
-    code: str,
-    runtime: Mapping[str, Any],
-    repeat_names: set[str],
-) -> None:
-    """Bind repeat-count literals to emitted material polygons."""
-
-    values = _literal_map(code)
-    counts: dict[str, int] = {}
-    for name in sorted(repeat_names):
-        value = values.get(name)
-        if isinstance(value, bool) or not isinstance(value, int) or value < 1:
-            raise DepthBuildError(f"{name}: repeat count is not a positive integer")
-        counts[name] = value
-    expected = math.prod(counts.values())
-    metrics = runtime.get("structural_metrics")
-    observed = metrics.get("polygon_count") if isinstance(metrics, Mapping) else None
-    if (
-        isinstance(observed, bool)
-        or not isinstance(observed, int)
-        or observed != expected
-    ):
-        raise DepthBuildError(
-            "repeat-count geometry witness differs: "
-            f"counts={counts}, expected_polygons={expected}, "
-            f"observed_polygons={observed!r}"
-        )
-
-
-def _cached_materialization(
-    anchor: Mapping[str, Any],
-    anchor_runtime: Mapping[str, Any],
-    updates: Mapping[str, int | float],
-    *,
-    allow_component_count_change: bool,
-    anchor_model_png: bytes,
-    cache: _MaterializationCache,
-) -> _MaterializationOutcome:
-    """Materialize one exact update at most once within an anchor build."""
-
-    normalized_updates = {
-        name: value for name, value in sorted(updates.items())
-    }
-    key = (
-        canonical_json(normalized_updates),
-        allow_component_count_change,
-    )
-    cached = cache.get(key)
-    if cached is not None:
-        return cached
-    try:
-        code, runtime, report, source, derived = _materialize(
-            anchor,
-            anchor_runtime,
-            normalized_updates,
-            allow_component_count_change=allow_component_count_change,
-            anchor_model_png=anchor_model_png,
-        )
-    except (DepthBuildError, RuntimeGateError, ReleaseError, ValueError) as exc:
-        outcome: _MaterializationOutcome = _MaterializationFailure(str(exc))
-    else:
-        outcome = _MaterializationSuccess(
-            updates=tuple(normalized_updates.items()),
-            code=code,
-            runtime=runtime,
-            report=report,
-            source_evidence=source,
-            derived_ports=derived,
-        )
-    cache[key] = outcome
-    return outcome
-
-
-def _try_materialize(
-    anchor: Mapping[str, Any],
-    anchor_runtime: Mapping[str, Any],
-    target_updates: Mapping[str, int | float],
-    *,
-    allow_component_count_change: bool = False,
-    anchor_model_png: bytes | None = None,
-    cache: _MaterializationCache | None = None,
-) -> tuple[
-    dict[str, int | float],
-    str,
-    dict[str, Any],
-    CandidateGateReport,
-    dict[str, Any],
-    bool,
-]:
-    anchor_values = _literal_map(str(anchor["code"]))
-    if anchor_model_png is None:
-        anchor_model_png = render_geometry(
-            anchor_runtime,
-            mode="maximum_visibility",
-        ).png_bytes
-    if cache is None:
-        cache = {}
-    errors: list[str] = []
-    for updates in _candidate_attempts(anchor_values, target_updates):
-        outcome = _cached_materialization(
-            anchor,
-            anchor_runtime,
-            updates,
-            allow_component_count_change=allow_component_count_change,
-            anchor_model_png=anchor_model_png,
-            cache=cache,
-        )
-        if isinstance(outcome, _MaterializationSuccess):
-            effective_updates = dict(outcome.updates)
-            return (
-                effective_updates,
-                outcome.code,
-                outcome.runtime,
-                outcome.report,
-                outcome.source_evidence,
-                outcome.derived_ports,
-            )
-        errors.append(outcome.detail)
-    detail = errors[-1] if errors else "no nontrivial update was generated"
-    raise DepthBuildError(detail)
-
-
-def _qualify_axes(
-    anchor: Mapping[str, Any],
-    anchor_runtime: Mapping[str, Any],
-    contract: ParameterContract,
-    *,
-    anchor_model_png: bytes,
-    cache: _MaterializationCache,
-) -> tuple[ParameterAxis, ...]:
-    qualified: list[ParameterAxis] = []
-    for axis in contract.axes:
-        probe_contract = replace(contract, axes=(axis,))
-        probes = candidate_specs(probe_contract)
-        if not isinstance(probes, tuple):
-            raise AssertionError("candidate_specs unexpectedly returned one item")
-        low, high = probes[0], probes[1]
-        try:
-            _try_materialize(
-                anchor,
-                anchor_runtime,
-                dict(low.updates),
-                allow_component_count_change=(
-                    axis.parameter_class
-                    == ParameterClass.REPEAT_COUNT.value
-                ),
-                anchor_model_png=anchor_model_png,
-                cache=cache,
-            )
-            _try_materialize(
-                anchor,
-                anchor_runtime,
-                dict(high.updates),
-                allow_component_count_change=(
-                    axis.parameter_class
-                    == ParameterClass.REPEAT_COUNT.value
-                ),
-                anchor_model_png=anchor_model_png,
-                cache=cache,
-            )
-        except DepthBuildError:
-            continue
-        qualified.append(axis)
-        if len(qualified) == 3:
-            break
-    if not qualified:
-        raise DepthBuildError(f"{anchor['id']}: no runtime-safe parameter axis")
-    return tuple(qualified)
-
-
-def _instruction(
-    footprint_um: Sequence[float],
-    scale_px_per_um: Sequence[float],
-) -> str:
-    length_um, width_um = (float(value) for value in footprint_um)
-    sx, sy = (float(value) for value in scale_px_per_um)
-    reference = min(sx, sy)
-    x_magnification = sx / reference
-    y_magnification = sy / reference
-    return (
-        "The image is a device-only black-and-white silhouette: BLACK is "
-        "material on layer (1,0), WHITE is background. "
-        f"Footprint (bounding box): {length_um:.8g} x {width_um:.8g} micrometers. "
-        "DISPLAY NOTE: the overview is normalized for maximum shape visibility; "
-        "it is not guaranteed to use physical aspect ratio and has no fixed "
-        "absolute pixel scale. Relative overview magnification x:y = "
-        f"{x_magnification:.3f}:{y_magnification:.3f}. Use the silhouette for "
-        "topology and within-axis proportions, then the stated footprint for "
-        "absolute dimensions. Recreate the shown geometry as a primitives-only, "
-        "parametric GDSFactory 9.20.7 Python program using the permitted PixCell "
-        "catalog. Do not use device-level stencils, raw polygons, raster tracing, "
-        "or runtime image reads. Keep function-defining tunables top-level, define "
-        "an @gf.cell device, and write device.gds. Output only the Python program."
-    )
-
-
-def _depth_common(
-    anchor: Mapping[str, Any],
-    *,
-    slot: int,
-    split_role: str,
-) -> dict[str, Any]:
-    grammar_id = str(anchor["grammar_id"])
-    return {
-        "depth_schema_version": DEPTH_SCHEMA_VERSION,
-        "parent_core_id": str(anchor["id"]),
-        "parent_code_sha256": str(anchor["code_sha256"]),
-        "parent_core_digest_sha256": CORE_DIGEST,
-        "geometry_id": _hash_id("dgeo", grammar_id, f"r{slot:02d}"),
-        "realization_id": f"r{slot:02d}",
-        "realization_slot": slot,
-        "dependency_group": _hash_id("ddep", grammar_id),
-        "split_role": split_role,
-        "pose_id": "canonical",
-        "render_id": "maximum_visibility",
-        "depth_generator_version": GENERATOR_VERSION,
-        "logical_row_sha256": "",
-    }
-
-
-def _wrap_core_row(
-    row: Mapping[str, Any],
-    anchor: Mapping[str, Any],
-) -> dict[str, Any]:
-    semantic = str(row["id"]) == str(anchor["id"])
-    result = {column: copy.deepcopy(row[column]) for column in CORE_ROW_COLUMNS}
-    if semantic:
-        result.update(_depth_common(anchor, slot=0, split_role="train"))
-        result.update(
-            {
-                "transform_kind": "anchor",
-                "controlled_axes": [],
-                "parameter_delta_json": "{}",
-                "verification_evidence_json": canonical_json(
-                    {
-                        "core_code_sha256": row["code_sha256"],
-                        "core_image_sha256": row["image_sha256"],
-                        "core_target_image_sha256": row["target_image_sha256"],
-                    }
-                ),
-            }
-        )
-    else:
-        result.update(
-            {
-                "depth_schema_version": DEPTH_SCHEMA_VERSION,
-                "parent_core_id": str(anchor["id"]),
-                "parent_code_sha256": str(anchor["code_sha256"]),
-                "parent_core_digest_sha256": CORE_DIGEST,
-                "geometry_id": _hash_id("dextra", str(row["id"])),
-                "realization_id": f"core-{row['variation_role']}",
-                "realization_slot": -1,
-                "transform_kind": f"core_{row['variation_role']}",
-                "controlled_axes": [],
-                "parameter_delta_json": "{}",
-                "dependency_group": _hash_id("ddep", str(anchor["grammar_id"])),
-                "split_role": "core-extra",
-                "pose_id": (
-                    "core-equivariance"
-                    if row["variation_role"] == "equivariance"
-                    else "canonical"
-                ),
-                "render_id": "core-maximum-visibility",
-                "verification_evidence_json": canonical_json(
-                    {
-                        "core_code_sha256": row["code_sha256"],
-                        "core_image_sha256": row["image_sha256"],
-                        "core_target_image_sha256": row["target_image_sha256"],
-                    }
-                ),
-                "depth_generator_version": GENERATOR_VERSION,
-                "logical_row_sha256": "",
-            }
-        )
-    result = {column: result[column] for column in DEPTH_ROW_COLUMNS}
-    return bind_logical_row_sha256(result)
-
-
-def _descendant_row(
-    anchor: Mapping[str, Any],
-    *,
-    grammar_index: int,
-    slot: int,
-    spec: CandidateSpec,
-    updates: Mapping[str, int | float],
-    code: str,
-    runtime: Mapping[str, Any],
-    report: CandidateGateReport,
-    source_evidence: Mapping[str, Any],
-    derived_ports: bool,
-) -> dict[str, Any]:
-    views = render_views(runtime)
-    model_view = views["maximum_visibility"]
-    target_view = views["physical_aspect"]
-    image_bytes = model_view.png_bytes
-    target_bytes = target_view.png_bytes
-    footprint = [float(value) for value in runtime["bbox_span_um"]]
-    row_id = f"{anchor['id']}__depth_r{slot:02d}"
-    anchor_values = _literal_map(str(anchor["code"]))
-    directions: set[str] = set()
-    for name, value in updates.items():
-        before = float(anchor_values[name])
-        after = float(value)
-        if before != 0.0 and before * after > 0.0:
-            directions.add("high" if abs(after) > abs(before) else "low")
-        elif before * after < 0.0:
-            directions.add("sign_flip")
-        else:
-            directions.add("high" if after > before else "low")
-    effective_direction = (
-        next(iter(directions)) if len(directions) == 1 else "mixed"
-    )
-    requested_updates = dict(spec.updates)
-    delta = {
-        "changes": {
-            name: {"after": value, "before": anchor_values[name]}
-            for name, value in sorted(updates.items())
-        },
-        "derived_updates": ["optical_port_specs"] if derived_ports else [],
-        "effective_direction": effective_direction,
-        "contract_fallback": bool(spec.fallback),
-        "fallback_schedule": bool(
-            spec.fallback or dict(updates) != requested_updates
-        ),
-        "runtime_fallback": dict(updates) != requested_updates,
-        "requested_factors": {name: value for name, value in spec.factors},
-        "requested_direction": spec.direction,
-        "requested_updates": requested_updates,
-        "role": spec.role,
-    }
-    port_report = report.port_gate
-    verification = {
-        "mask_delta": asdict(report.mask_delta),
-        "model_input_signal": source_evidence["model_input_signal"],
-        "normalized_grammar_hash": source_evidence["normalized_grammar_hash"],
-        "port_count": port_report.port_count,
-        "port_orientation_side_histogram": port_report.orientation_side_histogram,
-        "port_witnesses": [asdict(item) for item in port_report.witnesses],
-        "runtime_structural_metrics": runtime["structural_metrics"],
-    }
-    metadata = {
-        "core_anchor_id": anchor["id"],
-        "core_anchor_image_sha256": anchor["image_sha256"],
-        "core_anchor_parameters_sha256": canonical_sha256(
-            json.loads(str(anchor["parameters_json"]))
-        ),
-        "depth_realization": {
-            "axis_ids": list(spec.axis_ids),
-            "slot": f"r{slot:02d}",
-        },
-    }
-    result = {column: copy.deepcopy(anchor[column]) for column in CORE_ROW_COLUMNS}
-    result.update(
-        {
-            "id": row_id,
-            "curriculum_order": CORE_ROW_COUNT + grammar_index * 7 + slot - 1,
-            "image": {"bytes": image_bytes, "path": f"{row_id}.png"},
-            "target_image": {
-                "bytes": target_bytes,
-                "path": f"{row_id}.target.png",
-            },
-            "code": code,
-            "instruction": _instruction(footprint, model_view.scale_px_per_um),
-            "leakage_group_id": str(anchor["leakage_group_id"]),
-            "variation_role": "controlled_realization",
-            "primitive_calls": primitive_calls(code),
-            "port_signature_json": canonical_json(_port_signature(runtime)),
-            "footprint_um": footprint,
-            "parameters_json": canonical_json(_parameter_payload(anchor, code)),
-            "topology_json": canonical_json(_candidate_topology(runtime)),
-            "metadata_json": canonical_json(metadata),
-            "image_sha256": sha256_bytes(image_bytes),
-            "target_image_sha256": sha256_bytes(target_bytes),
-            "code_sha256": sha256_bytes(code.encode("utf-8")),
-            "normalized_d4_sha256": normalized_d4_sha256(
-                Image.open(io.BytesIO(image_bytes))
-            ),
-            "view_policy": "maximum_visibility_depth_v1",
-            "source_dataset_digest_sha256": CORE_DIGEST,
-            "source_generator_version": GENERATOR_VERSION,
-        }
-    )
-    result.update(_depth_common(anchor, slot=slot, split_role=SPLIT_BY_SLOT[slot]))
-    result.update(
-        {
-            "transform_kind": f"{spec.role}_{effective_direction}",
-            "controlled_axes": sorted(updates),
-            "parameter_delta_json": canonical_json(delta),
-            "verification_evidence_json": canonical_json(verification),
-        }
-    )
-    result = {column: result[column] for column in DEPTH_ROW_COLUMNS}
-    return bind_logical_row_sha256(result)
-
-
-def _qualification_failure(
-    anchor: Mapping[str, Any],
-    *,
-    stage: str,
-    reason: str,
-) -> _QualificationFailure:
-    return _QualificationFailure(
-        anchor_id=str(anchor["id"]),
-        grammar_id=str(anchor["grammar_id"]),
-        stage=stage,
-        reason=reason,
-    )
-
-
-def _anchor_only_preparation(
-    anchor: Mapping[str, Any],
-    contract: ParameterContract,
-    *,
-    stage: str,
-    reason: str,
-) -> _PreparedAnchor:
-    contract_record = contract.to_dict()
-    contract_record["qualified_axis_ids"] = []
-    return _PreparedAnchor(
-        anchor_id=str(anchor["id"]),
-        grammar_id=str(anchor["grammar_id"]),
-        contract_record=contract_record,
-        plan_record={
-            "anchor_id": anchor["id"],
-            "grammar_id": anchor["grammar_id"],
-            "level": anchor["level"],
-            "states": [],
-        },
-        descendants=(),
-        outcome="anchor_only",
-        failure=_qualification_failure(
-            anchor,
-            stage=stage,
-            reason=reason,
-        ),
-    )
-
-
-def _fatal_preparation(
-    anchor: Mapping[str, Any],
-    *,
-    stage: str,
-    reason: str,
-) -> _PreparedAnchor:
-    return _PreparedAnchor(
-        anchor_id=str(anchor["id"]),
-        grammar_id=str(anchor["grammar_id"]),
-        contract_record=None,
-        plan_record=None,
-        descendants=(),
-        outcome="fatal",
-        failure=_qualification_failure(
-            anchor,
-            stage=stage,
-            reason=reason,
-        ),
-    )
-
-
-def _prepare_anchor(
-    anchor: Mapping[str, Any],
-    *,
-    grammar_index: int,
-) -> _PreparedAnchor:
-    """Prepare one complete schedule without exposing partial descendants."""
-
-    try:
-        anchor_runtime = execute_program(str(anchor["code"]), isolation="in_process")
-        anchor_model_png = render_geometry(
-            anchor_runtime,
-            mode="maximum_visibility",
-        ).png_bytes
-        anchor_ports = gate_ports(
-            anchor_runtime,
-            expected_count=len(anchor_runtime["ports"]),
-            require_bbox_edge=str(anchor["level"]) == "L4",
-        )
-        if not anchor_ports.passed:
-            raise DepthBuildError(
-                f"{anchor['id']}: anchor port gate failed: {anchor_ports.errors}"
-            )
-    except (DepthBuildError, RuntimeGateError, ReleaseError, ValueError) as exc:
-        return _fatal_preparation(
-            anchor,
-            stage="anchor_runtime",
-            reason=str(exc),
-        )
-    try:
-        contract = _coalesce_equal_shape_axes(
-            classify_parameters(str(anchor["code"]), anchor)
-        )
-    except (DepthBuildError, RuntimeGateError, ReleaseError, ValueError) as exc:
-        return _fatal_preparation(
-            anchor,
-            stage="parameter_contract",
-            reason=str(exc),
-        )
-    cache: _MaterializationCache = {}
-    try:
-        qualified_axes = _qualify_axes(
-            anchor,
-            anchor_runtime,
-            contract,
-            anchor_model_png=anchor_model_png,
-            cache=cache,
-        )
-    except DepthBuildError as exc:
-        return _anchor_only_preparation(
-            anchor,
-            contract,
-            stage="axis_qualification",
-            reason=str(exc),
-        )
-    scheduled_contract = replace(contract, axes=qualified_axes)
-    try:
-        specs = candidate_specs(scheduled_contract)
-    except (DepthBuildError, RuntimeGateError, ReleaseError, ValueError) as exc:
-        return _fatal_preparation(
-            anchor,
-            stage="schedule_definition",
-            reason=str(exc),
-        )
-    if not isinstance(specs, tuple) or len(specs) != 7:
-        return _fatal_preparation(
-            anchor,
-            stage="schedule_definition",
-            reason=f"{anchor['id']}: incomplete realization schedule",
-        )
-    repeat_names = {
-        parameter.name
-        for parameter in scheduled_contract.assignments
-        if parameter.parameter_class == ParameterClass.REPEAT_COUNT.value
-    }
-
-    seen_parameter_states: set[str] = set()
-    seen_model_inputs = {
-        (str(anchor["image_sha256"]), str(anchor["instruction"]))
-    }
-    local_descendants: list[dict[str, Any]] = []
-    selected: list[dict[str, Any]] = []
-    for spec in specs:
-        slot = int(spec.slot[1:])
-        errors: list[str] = []
-        accepted: tuple[dict[str, Any], dict[str, int | float]] | None = None
-        for target in _candidate_attempts(
-            _literal_map(str(anchor["code"])),
-            dict(spec.updates),
-        ):
-            state_key = canonical_json(target)
-            if state_key in seen_parameter_states:
-                continue
-            outcome = _cached_materialization(
-                anchor,
-                anchor_runtime,
-                target,
-                allow_component_count_change=bool(set(target) & repeat_names),
-                anchor_model_png=anchor_model_png,
-                cache=cache,
-            )
-            if isinstance(outcome, _MaterializationFailure):
-                errors.append(outcome.detail)
-                continue
-            effective_updates = dict(outcome.updates)
-            try:
-                if set(effective_updates) & repeat_names:
-                    _validate_repeated_element_count(
-                        outcome.code,
-                        outcome.runtime,
-                        repeat_names,
-                    )
-                row = _descendant_row(
-                    anchor,
-                    grammar_index=grammar_index,
-                    slot=slot,
-                    spec=spec,
-                    updates=effective_updates,
-                    code=outcome.code,
-                    runtime=outcome.runtime,
-                    report=outcome.report,
-                    source_evidence=outcome.source_evidence,
-                    derived_ports=outcome.derived_ports,
-                )
-            except (
-                DepthBuildError,
-                RuntimeGateError,
-                ReleaseError,
-                ValueError,
-            ) as exc:
-                errors.append(str(exc))
-                continue
-            model_input_key = (
-                str(row["image_sha256"]),
-                str(row["instruction"]),
-            )
-            if model_input_key in seen_model_inputs:
-                errors.append("model input duplicates an earlier realization")
-                continue
-            accepted = (row, effective_updates)
-            seen_parameter_states.add(state_key)
-            seen_model_inputs.add(model_input_key)
-            break
-        if accepted is None:
-            detail = errors[-1] if errors else "all states duplicated earlier slots"
-            return _anchor_only_preparation(
-                anchor,
-                contract,
-                stage=f"schedule_{spec.slot}",
-                reason=detail,
-            )
-        row, _ = accepted
-        local_descendants.append(row)
-        selected.append(
-            {
-                "axis_ids": list(spec.axis_ids),
-                "code_sha256": row["code_sha256"],
-                "controlled_axes": row["controlled_axes"],
-                "geometry_id": row["geometry_id"],
-                "image_sha256": row["image_sha256"],
-                "parameter_delta": json.loads(row["parameter_delta_json"]),
-                "realization_id": row["realization_id"],
-                "target_image_sha256": row["target_image_sha256"],
-                "verification_evidence_sha256": canonical_sha256(
-                    json.loads(row["verification_evidence_json"])
-                ),
-            }
-        )
-
-    contract_record = contract.to_dict()
-    contract_record["qualified_axis_ids"] = [
-        axis.axis_id for axis in qualified_axes
-    ]
-    return _PreparedAnchor(
-        anchor_id=str(anchor["id"]),
-        grammar_id=str(anchor["grammar_id"]),
-        contract_record=contract_record,
-        plan_record={
-            "anchor_id": anchor["id"],
-            "grammar_id": anchor["grammar_id"],
-            "level": anchor["level"],
-            "states": selected,
-        },
-        descendants=tuple(local_descendants),
-        outcome="complete",
-    )
-
-
-def _prepare_all_anchors(
-    anchors: Sequence[Mapping[str, Any]],
-) -> list[_PreparedAnchor]:
-    """Finish qualification for every anchor before enforcing the inventory."""
-
-    prepared: list[_PreparedAnchor] = []
-    started = time.monotonic()
-    descendant_count = 0
-    for grammar_index, anchor in enumerate(anchors):
-        result = _prepare_anchor(anchor, grammar_index=grammar_index)
-        prepared.append(result)
-        descendant_count += len(result.descendants)
-        if (grammar_index + 1) % 20 == 0 or grammar_index + 1 == len(anchors):
-            elapsed = time.monotonic() - started
-            print(
-                f"depth-v1: qualified {grammar_index + 1}/{len(anchors)} anchors "
-                f"({descendant_count} prepared descendants, {elapsed:.1f}s)",
-                flush=True,
-            )
-    return prepared
-
-
-def _assert_frozen_qualification_inventory(
-    prepared: Sequence[_PreparedAnchor],
-    *,
-    expected_anchor_only: frozenset[str] = ANCHOR_ONLY_PARENT_IDS,
-) -> None:
-    """Require one exact, deterministic qualification outcome inventory."""
-
-    if len(prepared) != APPROVED_REPRESENTATION_COUNT:
-        raise DepthBuildError(
-            "depth-v1 qualification barrier received "
-            f"{len(prepared)} != {APPROVED_REPRESENTATION_COUNT} anchors"
-        )
-    by_id = {result.anchor_id: result for result in prepared}
-    if len(by_id) != len(prepared):
-        raise DepthBuildError("depth-v1 qualification barrier has repeated anchors")
-
-    fatal = sorted(
-        (
-            result.failure.to_dict()
-            for result in prepared
-            if result.outcome == "fatal" and result.failure is not None
-        ),
-        key=lambda item: item["anchor_id"],
-    )
-    anchor_only = {
-        result.anchor_id for result in prepared if result.outcome == "anchor_only"
-    }
-    complete = {
-        result.anchor_id for result in prepared if result.outcome == "complete"
-    }
-    unexpected_anchor_only = sorted(anchor_only - expected_anchor_only)
-    unexpectedly_complete = sorted(expected_anchor_only & complete)
-    if fatal or unexpected_anchor_only or unexpectedly_complete:
-        findings = sorted(
-            (
-                result.failure.to_dict()
-                for result in prepared
-                if result.outcome == "anchor_only" and result.failure is not None
-            ),
-            key=lambda item: item["anchor_id"],
-        )
-        raise DepthBuildError(
-            "depth-v1 qualification inventory differs: "
-            + canonical_json(
-                {
-                    "anchor_only_findings": findings,
-                    "fatal": fatal,
-                    "unexpected_anchor_only": unexpected_anchor_only,
-                    "unexpectedly_complete": unexpectedly_complete,
-                }
-            )
-        )
-
-
-def _build_descendants(
-    anchors: Sequence[Mapping[str, Any]],
-) -> tuple[
-    list[dict[str, Any]],
-    list[dict[str, Any]],
-    list[dict[str, Any]],
-]:
-    prepared = _prepare_all_anchors(anchors)
-    _assert_frozen_qualification_inventory(prepared)
-
-    descendants: list[dict[str, Any]] = []
-    contract_records: list[dict[str, Any]] = []
-    plan_records: list[dict[str, Any]] = []
-    for result in prepared:
-        if result.contract_record is None or result.plan_record is None:
-            raise AssertionError("qualification barrier exposed a fatal result")
-        descendants.extend(result.descendants)
-        contract_records.append(result.contract_record)
-        plan_records.append(result.plan_record)
-    return descendants, contract_records, plan_records
-
-
-def _ordered_rows(
-    core_rows: Sequence[Mapping[str, Any]],
-    descendants: Sequence[Mapping[str, Any]],
-    anchors_by_grammar: Mapping[str, Mapping[str, Any]],
-) -> dict[str, list[dict[str, Any]]]:
-    wrapped = [
-        _wrap_core_row(row, anchors_by_grammar[str(row["grammar_id"])])
-        for row in core_rows
-    ]
-    train = [*wrapped, *(row for row in descendants if row["split_role"] == "train")]
-    validation = [
-        row for row in descendants if row["split_role"] == "validation"
-    ]
-    train.sort(
-        key=lambda row: (
-            0 if row["realization_slot"] in {-1, 0} else 1,
-            int(row["curriculum_order"]),
-            str(row["id"]),
-        )
-    )
-    validation.sort(key=lambda row: (int(row["curriculum_order"]), str(row["id"])))
-    return {"train": train, "validation": validation}
-
-
-def _write_shards(
-    root: Path,
-    rows_by_split: Mapping[str, Sequence[Mapping[str, Any]]],
-) -> list[dict[str, Any]]:
-    disable_progress_bar()
-    records: list[dict[str, Any]] = []
-    for split in ("train", "validation"):
-        rows = list(rows_by_split[split])
-        plans = plan_shards(
-            len(rows),
-            max_rows_per_shard=MAX_ROWS_PER_SHARD,
-            split=split,
-        )
-        for plan in plans:
-            target = root / "data" / plan.filename
-            target.parent.mkdir(parents=True, exist_ok=True)
-            dataset = Dataset.from_list(
-                rows[plan.start : plan.stop],
-                features=depth_features(),
-            )
-            dataset.to_parquet(str(target), batch_size=64)
-            records.append(
-                {
-                    "split": split,
-                    "index": plan.index,
-                    "total": plan.total,
-                    "path": target.relative_to(root).as_posix(),
-                    "rows": plan.row_count,
-                    "bytes": target.stat().st_size,
-                    "sha256": depth_sha256_file(target),
-                }
-            )
-    return records
-
-
-def _write_factory_records(
-    root: Path,
-    anchors: Sequence[Mapping[str, Any]],
-    contracts: Sequence[Mapping[str, Any]],
-    plans: Sequence[Mapping[str, Any]],
-    all_rows: Sequence[Mapping[str, Any]],
-    core_snapshot: Mapping[str, str],
-) -> None:
-    write_json(
-        root / "factory" / "anchor_manifest.json",
-        {
-            "core_digest_sha256": CORE_DIGEST,
-            "core_grammar_catalog_sha256": CORE_GRAMMAR_CATALOG_SHA256,
-            "representation_count": len(anchors),
-            "anchors": [
-                {
-                    "code_sha256": anchor["code_sha256"],
-                    "grammar_id": anchor["grammar_id"],
-                    "id": anchor["id"],
-                    "image_sha256": anchor["image_sha256"],
-                    "level": anchor["level"],
-                }
-                for anchor in anchors
-            ],
-        },
-    )
-    write_json(
-        root / "factory" / "variation_contracts.json",
-        {
-            "generator_version": GENERATOR_VERSION,
-            "anchor_representation_count": len(anchors),
-            "complete_depth_representation_count": DEPTH_ELIGIBLE_COUNT,
-            "anchor_only_representation_count": len(ANCHOR_ONLY_PARENT_IDS),
-            "anchor_only_parent_ids": sorted(ANCHOR_ONLY_PARENT_IDS),
-            "representation_count": len(contracts),
-            "contracts": list(contracts),
-        },
-    )
-    write_json(
-        root / "factory" / "generation_plan.json",
-        {
-            "generator_version": GENERATOR_VERSION,
-            "anchor_representation_count": len(anchors),
-            "complete_depth_representation_count": DEPTH_ELIGIBLE_COUNT,
-            "anchor_only_representation_count": len(ANCHOR_ONLY_PARENT_IDS),
-            "anchor_only_parent_ids": sorted(ANCHOR_ONLY_PARENT_IDS),
-            "geometry_states_per_complete_representation": 8,
-            "representation_count": len(plans),
-            "schedule": {
-                "r00": "approved core semantic anchor",
-                "r01-r02": "two distinct primary-axis states",
-                "r03-r04": "two distinct secondary-axis states or safe fallback",
-                "r05-r06": "two distinct tertiary-axis states or safe fallback",
-                "r07": "deterministic multi-axis interaction",
-            },
-            "plans": list(plans),
-        },
-    )
-    write_json(
-        root / "factory" / "accepted_manifest.json",
-        {
-            "accepted_only": True,
-            "generator_version": GENERATOR_VERSION,
-            "row_count": len(all_rows),
-            "rows": [
-                {
-                    "code_sha256": row["code_sha256"],
-                    "geometry_id": row["geometry_id"],
-                    "grammar_id": row["grammar_id"],
-                    "id": row["id"],
-                    "image_sha256": row["image_sha256"],
-                    "logical_row_sha256": row["logical_row_sha256"],
-                    "realization_id": row["realization_id"],
-                    "split_role": row["split_role"],
-                    "target_image_sha256": row["target_image_sha256"],
-                }
-                for row in sorted(all_rows, key=lambda item: str(item["id"]))
-            ],
-        },
-    )
-    write_json(
-        root / "factory" / "core_reference_snapshot.json",
-        {
-            "core_digest_sha256": CORE_DIGEST,
-            "reference_artifacts": dict(core_snapshot),
-        },
-    )
-
-
-def _write_metadata(
-    root: Path,
-    all_rows: Sequence[Mapping[str, Any]],
-    manifest: Mapping[str, Any],
-    contracts: Sequence[Mapping[str, Any]],
-) -> None:
-    level_counts = Counter(str(row["level"]) for row in all_rows)
-    transform_counts = Counter(str(row["transform_kind"]) for row in all_rows)
-    controlled_counts = Counter(
-        axis for row in all_rows for axis in row["controlled_axes"]
-    )
-    write_json(
-        root / "metadata" / "catalog.json",
-        {
-            "accepted_only": True,
-            "anchor_only_parent_ids": sorted(ANCHOR_ONLY_PARENT_IDS),
-            "anchor_only_representation_count": len(ANCHOR_ONLY_PARENT_IDS),
-            "anchor_representation_count": APPROVED_REPRESENTATION_COUNT,
-            "columns": list(DEPTH_ROW_COLUMNS),
-            "complete_depth_representation_count": DEPTH_ELIGIBLE_COUNT,
-            "core_rows_retained": CORE_ROW_COUNT,
-            "generator_version": GENERATOR_VERSION,
-            "level_counts": dict(sorted(level_counts.items())),
-            "logical_release_sha256": manifest["logical_release_sha256"],
-            "parent_core_digest_sha256": CORE_DIGEST,
-            "representation_count": 547,
-            "row_count": len(all_rows),
-            "split_counts": manifest["split_counts"],
-        },
-    )
-    write_json(
-        root / "metadata" / "audit_report.json",
-        {
-            "accepted_only": True,
-            "anchor_only_parent_ids": sorted(ANCHOR_ONLY_PARENT_IDS),
-            "anchor_only_representation_count": len(ANCHOR_ONLY_PARENT_IDS),
-            "anchor_representation_count": APPROVED_REPRESENTATION_COUNT,
-            "complete_depth_representation_count": DEPTH_ELIGIBLE_COUNT,
-            "controlled_axis_counts": dict(sorted(controlled_counts.items())),
-            "core_reference_match": True,
-            "geometry_states_per_complete_representation": 8,
-            "logical_release_sha256": manifest["logical_release_sha256"],
-            "representation_count": len(contracts),
-            "row_count": len(all_rows),
-            "transform_counts": dict(sorted(transform_counts.items())),
-            "verification": {
-                "all_controlled_programs_compiled_and_pure": True,
-                "all_controlled_programs_executed": True,
-                "all_controlled_source_grammars_preserved": True,
-                "all_geometry_changes_have_input_signal": True,
-                "all_ports_attached_and_signature_preserved": True,
-                "all_representation_ids_come_from_core_v1": True,
-            },
-        },
-    )
-
-
-def _gallery_reference_paths(
-    gallery_manifest: Mapping[str, Any],
-) -> list[str]:
-    """Return every generated gallery artifact under a safe relative path."""
-
-    overview = gallery_manifest.get("overview")
-    pages = gallery_manifest.get("pages")
-    if not isinstance(overview, str) or not isinstance(pages, list):
-        raise DepthBuildError("gallery manifest lacks overview or progression pages")
-    if gallery_manifest.get("progression_page_count") != len(pages):
-        raise DepthBuildError("gallery manifest progression count differs")
-    paths = [overview]
-    for record in pages:
-        if not isinstance(record, Mapping) or not isinstance(record.get("path"), str):
-            raise DepthBuildError("gallery manifest has a malformed page record")
-        paths.append(str(record["path"]))
-    if len(paths) != len(set(paths)):
-        raise DepthBuildError("gallery manifest repeats an artifact path")
-    for relative in paths:
-        raw = Path(relative)
-        if (
-            raw.is_absolute()
-            or ".." in raw.parts
-            or raw.suffix.lower() != ".png"
-            or not raw.is_relative_to("galleries")
-        ):
-            raise DepthBuildError(f"unsafe gallery artifact path: {relative!r}")
-    return paths
-
-
-def _promote(stage: Path, output: Path) -> None:
-    output.mkdir(parents=True, exist_ok=True)
-    backup = Path(
-        tempfile.mkdtemp(prefix=".depth-v1-backup.", dir=output.parent)
-    )
-    moved_old: list[str] = []
-    moved_new: list[str] = []
-    try:
-        for name in GENERATED_DIRECTORIES:
-            source = stage / name
-            if not source.is_dir():
-                raise DepthBuildError(f"staged depth release lacks {name}/")
-            destination = output / name
-            if destination.exists():
-                if not destination.is_dir():
-                    raise DepthBuildError(f"generated path is not a directory: {name}")
-                os.replace(destination, backup / name)
-                moved_old.append(name)
-            os.replace(source, destination)
-            moved_new.append(name)
-        write_checksums(output)
-    except Exception:
-        for name in reversed(moved_new):
-            destination = output / name
-            if destination.is_dir():
-                shutil.rmtree(destination)
-        for name in reversed(moved_old):
-            os.replace(backup / name, output / name)
-        raise
-    finally:
-        shutil.rmtree(backup, ignore_errors=True)
-
-
-def _assert_frozen_logical_release(manifest: Mapping[str, Any]) -> None:
-    observed = manifest.get("logical_release_sha256")
-    if observed != FROZEN_LOGICAL_RELEASE_SHA256:
-        raise DepthBuildError(
-            "depth-v1 logical release digest differs from the frozen release: "
-            f"{observed!r} != {FROZEN_LOGICAL_RELEASE_SHA256}"
-        )
-
-
-def _load_freeze(path: Path, *, label: str) -> dict[str, Any]:
-    try:
-        value = json.loads(path.read_text(encoding="utf-8"))
-    except (OSError, UnicodeDecodeError, json.JSONDecodeError) as exc:
-        raise DepthBuildError(f"{label} freeze is not readable JSON: {path}") from exc
-    if not isinstance(value, dict):
-        raise DepthBuildError(f"{label} freeze is not a JSON object: {path}")
-    return value
-
-
-def _frozen_reference_bindings(
-    freeze: Mapping[str, Any],
-) -> dict[str, str]:
-    raw_references = freeze.get("reference_artifacts")
-    manifest = freeze.get("manifest")
-    if not isinstance(raw_references, dict) or not isinstance(manifest, dict):
-        raise DepthBuildError("frozen release lacks exact artifact bindings")
-    manifest_path = manifest.get("path")
-    manifest_sha256 = manifest.get("sha256")
-    bindings = {
-        str(relative): str(digest)
-        for relative, digest in raw_references.items()
-    }
-    if not isinstance(manifest_path, str) or not isinstance(
-        manifest_sha256,
-        str,
-    ):
-        raise DepthBuildError("frozen release manifest binding is malformed")
-    if manifest_path in bindings and bindings[manifest_path] != manifest_sha256:
-        raise DepthBuildError("frozen release binds its manifest inconsistently")
-    bindings[manifest_path] = manifest_sha256
-    for relative, digest in bindings.items():
-        raw = Path(relative)
-        if (
-            not relative
-            or raw.is_absolute()
-            or ".." in raw.parts
-            or len(digest) != 64
-            or any(character not in "0123456789abcdef" for character in digest)
-        ):
-            raise DepthBuildError(
-                f"frozen release artifact binding is malformed: {relative!r}"
-            )
-    return bindings
-
-
-def _assert_frozen_replay(stage: Path, output: Path) -> None:
-    """Refuse to replace a committed release with a non-identical replay."""
-
-    committed_path = output / "factory" / "freeze.json"
-    if not committed_path.exists():
-        return
-    staged_path = stage / "factory" / "freeze.json"
-    if not staged_path.is_file():
-        raise DepthBuildError("staged depth release lacks factory/freeze.json")
-
-    committed = _load_freeze(committed_path, label="committed")
-    staged = _load_freeze(staged_path, label="staged")
-    drift: list[str] = []
-    if staged != committed:
-        drift.append("freeze object differs")
-
-    for relative, expected in sorted(
-        _frozen_reference_bindings(committed).items()
-    ):
-        candidate = stage / relative
-        if not candidate.is_file():
-            drift.append(f"missing staged artifact {relative}")
-            continue
-        observed = depth_sha256_file(candidate)
-        if observed != expected:
-            drift.append(f"changed staged artifact {relative}")
-    if drift:
-        raise DepthBuildError(
-            "depth-v1 replay differs from the committed frozen release: "
-            + ", ".join(drift)
-        )
-
-
-def build_depth_v1(dataset_root: Path, output: Path) -> dict[str, Any]:
-    dataset_root = dataset_root.expanduser().resolve()
-    output = output.expanduser().resolve()
-    core_rows, freeze = _load_core(dataset_root)
-    _assert_safe_output_path(dataset_root, output, freeze)
-    before_snapshot = _core_snapshot(dataset_root, freeze)
-    anchors, anchors_by_grammar = _semantic_anchors(core_rows)
-    previous_directory = Path.cwd()
-    with tempfile.TemporaryDirectory(prefix="pixcell-depth-execution-") as raw:
-        try:
-            os.chdir(raw)
-            descendants, contracts, plans = _build_descendants(anchors)
-        finally:
-            os.chdir(previous_directory)
-    rows_by_split = _ordered_rows(core_rows, descendants, anchors_by_grammar)
-    all_rows = [*rows_by_split["train"], *rows_by_split["validation"]]
-    population = validate_depth_population(
-        all_rows,
-        expected_parent_core_digest_sha256=CORE_DIGEST,
-    )
-    if population["split_counts"] != EXPECTED_SPLIT_COUNTS:
-        raise DepthBuildError("depth split population differs from frozen schedule")
-
-    stage = Path(
-        tempfile.mkdtemp(prefix=".depth-v1-stage.", dir=output.parent)
-    )
-    try:
-        shard_records = _write_shards(stage, rows_by_split)
-        _write_factory_records(
-            stage,
-            anchors,
-            contracts,
-            plans,
-            all_rows,
-            before_snapshot,
-        )
-        manifest = build_manifest(
-            all_rows,
-            shards=shard_records,
-            depth_generator_version=GENERATOR_VERSION,
-            expected_parent_core_digest_sha256=CORE_DIGEST,
-        )
-        _assert_frozen_logical_release(manifest)
-        write_json(stage / "metadata" / "manifest.json", manifest)
-        _write_metadata(stage, all_rows, manifest, contracts)
-        gallery_manifest = render_galleries(stage)
-        reference_paths = [
-            record["path"] for record in shard_records
-        ] + [
-            "factory/accepted_manifest.json",
-            "factory/anchor_manifest.json",
-            "factory/core_reference_snapshot.json",
-            "factory/generation_plan.json",
-            "factory/variation_contracts.json",
-            "metadata/audit_report.json",
-            "metadata/catalog.json",
-            "metadata/gallery_manifest.json",
-            "metadata/manifest.json",
-        ] + _gallery_reference_paths(gallery_manifest)
-        depth_freeze = build_freeze(
-            stage,
-            manifest,
-            manifest_path="metadata/manifest.json",
-            reference_paths=reference_paths,
-        )
-        write_json(stage / "factory" / "freeze.json", depth_freeze)
-        _assert_frozen_replay(stage, output)
-        after_snapshot = _core_snapshot(dataset_root, freeze)
-        if after_snapshot != before_snapshot:
-            raise DepthBuildError("core-v1 changed while depth-v1 was being built")
-        _promote(stage, output)
-        return {
-            **population,
-            "gallery_progression_pages": gallery_manifest[
-                "progression_page_count"
-            ],
-            "logical_release_sha256": manifest["logical_release_sha256"],
-            "shard_count": len(shard_records),
-        }
-    finally:
-        shutil.rmtree(stage, ignore_errors=True)
-
-
-def main() -> None:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument(
-        "--dataset-root",
-        type=Path,
-        default=DATASET_ROOT,
-        help="Parent PixCell dataset package containing frozen core-v1.",
-    )
-    parser.add_argument(
-        "--output",
-        type=Path,
-        default=DEPTH_ROOT,
-        help="Isolated depth-v1 release root.",
-    )
-    args = parser.parse_args()
-    report = build_depth_v1(args.dataset_root, args.output)
-    print(json.dumps(report, indent=2, sort_keys=True))
-
-
-if __name__ == "__main__":
-    main()
diff --git a/depth-v1/scripts/contracts.py b/depth-v1/scripts/contracts.py
deleted file mode 100644
index fd3b7ce417a79e0b8d1acf3ef0458066964634ac..0000000000000000000000000000000000000000
--- a/depth-v1/scripts/contracts.py
+++ /dev/null
@@ -1,1088 +0,0 @@
-"""Deterministic AST contracts for PixCell ``depth-v1`` realizations.
-
-This module plans *realizations* of an already-approved representation.  It
-does not invent representations, execute GDSFactory, render images, or admit
-rows.  Its deliberately narrow responsibilities are:
-
-* enumerate literal, module-level assignments in an accepted anchor program;
-* classify which assignments are continuous realization axes;
-* freeze context, topology, ports, pose, and implementation-only controls;
-* group dimensions whose ordering or relationship should be preserved;
-* emit the fixed ``r01``--``r07`` realization schedule; and
-* rewrite only the right-hand side of explicitly named literal assignments.
-
-The normalized grammar hash replaces selected assignment values by named
-sentinels before hashing the AST.  ``rewrite_parameters`` additionally checks
-the complete literal delta, so a matching hash cannot conceal an unrelated
-assignment change.
-
-The module is dependency-free and can be imported directly from its file path.
-"""
-
-from __future__ import annotations
-
-import ast
-import hashlib
-import json
-import math
-import statistics
-from collections.abc import Iterable, Mapping, Sequence
-from dataclasses import asdict, dataclass
-from enum import Enum
-from typing import Any
-
-
-SCHEDULE_VERSION = "depth-v1-r01-r07-v1"
-
-# The schedule is intentionally explicit.  Fallback slots make a one- or
-# two-axis grammar yield distinct realizations without changing a count or
-# reaching into a function body for anonymous constants.
-SCHEDULE = (
-    ("r01", "primary", "low", 0.82),
-    ("r02", "primary", "high", 1.18),
-    ("r03", "secondary", "low", 0.84),
-    ("r04", "secondary", "high", 1.16),
-    ("r05", "tertiary", "low", 0.86),
-    ("r06", "tertiary", "high", 1.14),
-    ("r07", "interaction", "mixed", None),
-)
-
-SECONDARY_FALLBACK = {"low": 0.68, "high": 1.32}
-TERTIARY_TO_SECONDARY_FALLBACK = {"low": 0.70, "high": 1.30}
-TERTIARY_TO_PRIMARY_FALLBACK = {"low": 0.54, "high": 1.46}
-INTERACTION_FACTORS = {"primary": 1.10, "secondary": 0.92, "tertiary": 1.08}
-
-
-class ParameterClass(str, Enum):
-    """Semantic class assigned to a module-level literal."""
-
-    DIMENSION = "realization_dimension"
-    ANGLE = "realization_angle"
-    REPEAT_COUNT = "realization_repeat_count"
-    CONTEXT = "frozen_context"
-    TOPOLOGY = "frozen_topology"
-    PORT = "frozen_port_contract"
-    IMPLEMENTATION = "frozen_implementation"
-    POSE = "frozen_pose"
-    STRUCTURAL_LITERAL = "frozen_structural_literal"
-    UNDECLARED = "frozen_undeclared_literal"
-
-
-@dataclass(frozen=True)
-class LiteralAssignment:
-    """One simple, literal module-level assignment."""
-
-    name: str
-    value: Any
-    literal_type: str
-    line: int
-    end_line: int
-
-    def to_dict(self) -> dict[str, Any]:
-        return asdict(self)
-
-
-@dataclass(frozen=True)
-class ClassifiedParameter:
-    """Classification and dependency membership for one literal."""
-
-    name: str
-    value: Any
-    literal_type: str
-    parameter_class: str
-    mutable: bool
-    reason: str
-    dependency_key: str | None
-    line: int
-
-    def to_dict(self) -> dict[str, Any]:
-        return asdict(self)
-
-
-@dataclass(frozen=True)
-class ParameterAxis:
-    """A dimension or ordered family that must be varied together."""
-
-    axis_id: str
-    names: tuple[str, ...]
-    parameter_class: str
-    priority: int
-    dependency_kind: str
-
-    def to_dict(self) -> dict[str, Any]:
-        value = asdict(self)
-        value["names"] = list(self.names)
-        return value
-
-
-@dataclass(frozen=True)
-class ParameterContract:
-    """JSON-serializable mutation contract for one approved anchor."""
-
-    anchor_id: str
-    grammar_id: str
-    schedule_version: str
-    source_grammar_hash: str
-    assignments: tuple[ClassifiedParameter, ...]
-    axes: tuple[ParameterAxis, ...]
-    reference_scale_um: float
-    declared_parameter_names: tuple[str, ...]
-
-    @property
-    def mutable_names(self) -> tuple[str, ...]:
-        return tuple(
-            parameter.name for parameter in self.assignments if parameter.mutable
-        )
-
-    def to_dict(self) -> dict[str, Any]:
-        return {
-            "anchor_id": self.anchor_id,
-            "grammar_id": self.grammar_id,
-            "schedule_version": self.schedule_version,
-            "source_grammar_hash": self.source_grammar_hash,
-            "reference_scale_um": self.reference_scale_um,
-            "declared_parameter_names": list(self.declared_parameter_names),
-            "mutable_names": list(self.mutable_names),
-            "assignments": [item.to_dict() for item in self.assignments],
-            "axes": [axis.to_dict() for axis in self.axes],
-        }
-
-
-@dataclass(frozen=True)
-class CandidateSpec:
-    """One deterministic descendant in the ``r01``--``r07`` schedule."""
-
-    slot: str
-    role: str
-    direction: str
-    updates: tuple[tuple[str, int | float], ...]
-    axis_ids: tuple[str, ...]
-    factors: tuple[tuple[str, float], ...]
-    structural_count_deltas: tuple[tuple[str, int], ...]
-    fallback: bool
-
-    def to_dict(self) -> dict[str, Any]:
-        return {
-            "slot": self.slot,
-            "role": self.role,
-            "direction": self.direction,
-            "updates": {name: value for name, value in self.updates},
-            "axis_ids": list(self.axis_ids),
-            "factors": {axis_id: factor for axis_id, factor in self.factors},
-            "expected_structural_count_delta": {
-                name: delta for name, delta in self.structural_count_deltas
-            },
-            "fallback": self.fallback,
-        }
-
-
-_PORT_NAMES = frozenset({"optical_port_specs", "port_names"})
-_CONTEXT_NAMES = frozenset({"layer", "layers", "layer_spec", "cross_section"})
-_IMPLEMENTATION_NAMES = frozenset(
-    {
-        "branch_cosine",
-        "branch_sine",
-        "control_fraction",
-        "euler_fraction",
-        "fanout_scale",
-        "npoints",
-        "transition_npoints",
-        "transition_profile",
-        "width_type",
-    }
-)
-_IMPLEMENTATION_PARTS = (
-    "attachment_overlap",
-    "connection_overlap",
-    "contact_overlap",
-    "embedding",
-    "edge_overlap",
-    "minimum_bend_radius",
-    "default_bend_radius",
-    "minimum_spiral_radius",
-)
-_POSE_PARTS = ("global_rotation", "global_translation", "pose_")
-_COUNT_EXACT = frozenset(
-    {
-        "columns",
-        "count",
-        "number_of_loops",
-        "radial_count",
-        "rows",
-        "sides",
-        "station_count",
-    }
-)
-_PORTLESS_ARRAY_COUNT_GRAMMARS = frozenset(
-    {
-        "l2_17_composite_cell_2d_array__s01",
-        "l2_17_composite_cell_2d_array__s02",
-        "l2_17_composite_cell_2d_array__s03",
-    }
-)
-_DEPENDENCY_QUALIFIERS = frozenset(
-    {
-        "bottom",
-        "end",
-        "far",
-        "first",
-        "inner",
-        "input",
-        "large",
-        "left",
-        "lower",
-        "maximum",
-        "minimum",
-        "narrow",
-        "near",
-        "outer",
-        "output",
-        "primary",
-        "right",
-        "second",
-        "secondary",
-        "small",
-        "start",
-        "strong",
-        "third",
-        "top",
-        "upper",
-        "weak",
-        "wide",
-    }
-)
-
-
-def _is_scalar_number(value: Any) -> bool:
-    return isinstance(value, (int, float)) and not isinstance(value, bool)
-
-
-def _literal_expression(value: Any) -> ast.expr:
-    """Return an AST expression for a JSON-like Python literal."""
-
-    try:
-        expression = ast.parse(repr(value), mode="eval").body
-        evaluated = ast.literal_eval(expression)
-    except (SyntaxError, ValueError, TypeError) as exc:
-        raise ValueError(f"update is not a supported literal: {value!r}") from exc
-    if evaluated != value:
-        raise ValueError(f"literal does not round-trip exactly: {value!r}")
-    return expression
-
-
-def top_level_literals(code: str) -> tuple[LiteralAssignment, ...]:
-    """Enumerate simple literal assignments directly in ``Module.body``.
-
-    Chained targets, destructuring, and computed right-hand sides are excluded
-    rather than partially interpreted.
-    """
-
-    tree = ast.parse(code)
-    found: list[LiteralAssignment] = []
-    seen: set[str] = set()
-    for node in tree.body:
-        if not isinstance(node, (ast.Assign, ast.AnnAssign)):
-            continue
-        targets = node.targets if isinstance(node, ast.Assign) else [node.target]
-        if len(targets) != 1 or not isinstance(targets[0], ast.Name):
-            continue
-        name = targets[0].id
-        if name in seen:
-            raise ValueError(f"duplicate module-level literal assignment: {name}")
-        try:
-            value = ast.literal_eval(node.value)
-        except (ValueError, TypeError):
-            continue
-        seen.add(name)
-        found.append(
-            LiteralAssignment(
-                name=name,
-                value=value,
-                literal_type=type(value).__name__,
-                line=node.lineno,
-                end_line=getattr(node, "end_lineno", node.lineno),
-            )
-        )
-    return tuple(found)
-
-
-def _declared_parameter_names(row: Mapping[str, Any] | None) -> tuple[str, ...]:
-    if row is None:
-        return ()
-    raw = row.get("parameters_json")
-    if raw is None:
-        return ()
-    if isinstance(raw, str):
-        try:
-            parsed = json.loads(raw)
-        except json.JSONDecodeError as exc:
-            raise ValueError("parameters_json is not valid JSON") from exc
-    elif isinstance(raw, Mapping):
-        parsed = dict(raw)
-    else:
-        raise TypeError("parameters_json must be JSON text or a mapping")
-    parameters = parsed.get("parameters", parsed)
-    if not isinstance(parameters, Mapping):
-        raise ValueError("parameters_json.parameters must be a mapping")
-    return tuple(sorted(str(name) for name in parameters))
-
-
-def _is_topology_name(name: str) -> bool:
-    return (
-        name in _COUNT_EXACT
-        or name.startswith("n_")
-        or name.endswith(("_count", "_counts", "_index", "_indices"))
-        or "_count_" in name
-        or "_per_" in name
-        or name in {"channel_column", "defect_index", "peak_index"}
-    )
-
-
-def _dependency_key(name: str) -> tuple[str, str]:
-    """Return a conservative relation key and its relation kind."""
-
-    unit = ""
-    stem = name
-    for suffix in ("_um", "_deg"):
-        if stem.endswith(suffix):
-            stem = stem[: -len(suffix)]
-            unit = suffix
-            break
-    tokens = stem.split("_")
-    relation_kind = "independent"
-
-    if tokens and tokens[-1] in {"x", "y"}:
-        tokens[-1] = "axis"
-        relation_kind = "coordinate_pair"
-
-    reduced = [token for token in tokens if token not in _DEPENDENCY_QUALIFIERS]
-    if len(reduced) != len(tokens):
-        relation_kind = (
-            "ordered_family" if relation_kind == "independent" else "ordered_axes"
-        )
-    if not reduced:
-        reduced = tokens
-    return "_".join(reduced) + unit, relation_kind
-
-
-def _classify(
-    assignment: LiteralAssignment,
-    *,
-    declared_names: set[str],
-    declaration_required: bool,
-    repeat_count_names: set[str],
-) -> ClassifiedParameter:
-    name = assignment.name
-    value = assignment.value
-    lowered = name.lower()
-
-    if declaration_required and name not in declared_names and name not in _CONTEXT_NAMES:
-        cls = ParameterClass.UNDECLARED
-        reason = "not listed in parameters_json.parameters"
-    elif name in _CONTEXT_NAMES or lowered.endswith("_layer"):
-        cls = ParameterClass.CONTEXT
-        reason = "material/layer context is invariant"
-    elif name in _PORT_NAMES or "port_" in lowered or lowered.startswith("port"):
-        cls = ParameterClass.PORT
-        reason = "port identity or placement belongs to the frozen port contract"
-    elif name in repeat_count_names:
-        cls = ParameterClass.REPEAT_COUNT
-        reason = "approved portless repeated-element count axis"
-    elif isinstance(value, bool) or _is_topology_name(lowered):
-        cls = ParameterClass.TOPOLOGY
-        reason = "count, index, arity, or topology switch is invariant"
-    elif name in _IMPLEMENTATION_NAMES or any(
-        part in lowered for part in _IMPLEMENTATION_PARTS
-    ):
-        cls = ParameterClass.IMPLEMENTATION
-        reason = "numerical resolution, continuity overlap, or routing tolerance"
-    elif any(part in lowered for part in _POSE_PARTS):
-        cls = ParameterClass.POSE
-        reason = "pose is factored separately from a geometric realization"
-    elif not _is_scalar_number(value):
-        cls = ParameterClass.STRUCTURAL_LITERAL
-        reason = "coordinate table, sequence, string, or other structural literal"
-    elif lowered.endswith("_um"):
-        cls = ParameterClass.DIMENSION
-        reason = "declared continuous physical dimension"
-    elif lowered.endswith("_deg"):
-        cls = ParameterClass.ANGLE
-        reason = "declared continuous internal angle"
-    else:
-        cls = ParameterClass.IMPLEMENTATION
-        reason = "unitless or unclassified scalar is not an approved depth axis"
-
-    mutable = cls in {
-        ParameterClass.DIMENSION,
-        ParameterClass.ANGLE,
-        ParameterClass.REPEAT_COUNT,
-    }
-    dependency_key = _dependency_key(name)[0] if mutable else None
-    return ClassifiedParameter(
-        name=name,
-        value=value,
-        literal_type=assignment.literal_type,
-        parameter_class=cls.value,
-        mutable=mutable,
-        reason=reason,
-        dependency_key=dependency_key,
-        line=assignment.line,
-    )
-
-
-def _axis_priority(names: Sequence[str]) -> int:
-    """Rank axes by likely visible causal effect, then by stable name order."""
-
-    joined = " ".join(names).lower()
-    priorities = (
-        ("gap", 120),
-        ("pitch", 116),
-        ("separation", 114),
-        ("width", 110),
-        ("radius", 106),
-        ("length", 102),
-        ("offset", 98),
-        ("span", 96),
-        ("height", 94),
-        ("size", 92),
-        ("step", 90),
-        ("angle", 88),
-        ("dx", 86),
-        ("dy", 86),
-        ("x_um", 84),
-        ("y_um", 84),
-    )
-    score = 70
-    for token, value in priorities:
-        if token in joined:
-            score = max(score, value)
-    # A dependency family is slightly preferred because its covariance teaches
-    # a real relationship while preserving the anchor's ordering.
-    if len(names) > 1:
-        score += 2
-    return score
-
-
-def _axes(parameters: Sequence[ClassifiedParameter]) -> tuple[ParameterAxis, ...]:
-    groups: dict[tuple[str, str], list[ClassifiedParameter]] = {}
-    for parameter in parameters:
-        if not parameter.mutable or parameter.dependency_key is None:
-            continue
-        dependency_key, relation_kind = _dependency_key(parameter.name)
-        groups.setdefault((dependency_key, relation_kind), []).append(parameter)
-
-    axes: list[ParameterAxis] = []
-    for (key, kind), members in groups.items():
-        names = tuple(sorted(member.name for member in members))
-        classes = {member.parameter_class for member in members}
-        if classes == {ParameterClass.ANGLE.value}:
-            parameter_class = ParameterClass.ANGLE.value
-        elif classes == {ParameterClass.REPEAT_COUNT.value}:
-            parameter_class = ParameterClass.REPEAT_COUNT.value
-        else:
-            parameter_class = ParameterClass.DIMENSION.value
-        axis_id = f"axis:{key}" if len(names) > 1 else f"axis:{names[0]}"
-        axes.append(
-            ParameterAxis(
-                axis_id=axis_id,
-                names=names,
-                parameter_class=parameter_class,
-                priority=_axis_priority(names),
-                dependency_kind=kind if len(names) > 1 else "independent",
-            )
-        )
-    return tuple(sorted(axes, key=lambda axis: (-axis.priority, axis.axis_id)))
-
-
-def _reference_scale(
-    parameters: Sequence[ClassifiedParameter], row: Mapping[str, Any] | None
-) -> float:
-    candidates = [
-        abs(float(parameter.value))
-        for parameter in parameters
-        if parameter.mutable
-        and parameter.parameter_class == ParameterClass.DIMENSION.value
-        and _is_scalar_number(parameter.value)
-        and float(parameter.value) != 0.0
-    ]
-    if row is not None:
-        footprint = row.get("footprint_um")
-        if isinstance(footprint, Sequence) and not isinstance(footprint, (str, bytes)):
-            candidates.extend(
-                abs(float(value))
-                for value in footprint
-                if _is_scalar_number(value) and float(value) > 0
-            )
-    if not candidates:
-        return 10.0
-    # The median is insensitive to a long bus or a sub-micron waveguide and is
-    # rounded solely to make the contract serialization stable.
-    return round(float(statistics.median(candidates)), 8)
-
-
-def classify_parameters(
-    code: str, row: Mapping[str, Any] | None = None
-) -> ParameterContract:
-    """Build a deterministic contract from accepted anchor code and metadata."""
-
-    if row is not None:
-        role = row.get("variation_role")
-        if role is not None and role != "semantic":
-            raise ValueError(f"depth contracts require a semantic anchor, got {role!r}")
-    declared = _declared_parameter_names(row)
-    declared_set = set(declared)
-    grammar_id = str(row.get("grammar_id", "")) if row is not None else ""
-    repeat_count_names: set[str] = set()
-    if grammar_id in _PORTLESS_ARRAY_COUNT_GRAMMARS:
-        # These three approved grammars are portless repeated arrays.  Their
-        # row/column counts are realization depth, not optical arity.
-        repeat_count_names = {"rows", "columns"}
-    assignments = tuple(
-        _classify(
-            assignment,
-            declared_names=declared_set,
-            declaration_required=bool(declared),
-            repeat_count_names=repeat_count_names,
-        )
-        for assignment in top_level_literals(code)
-    )
-    anchor_id = str(row.get("id", "")) if row is not None else ""
-    return ParameterContract(
-        anchor_id=anchor_id,
-        grammar_id=grammar_id,
-        schedule_version=SCHEDULE_VERSION,
-        source_grammar_hash=normalized_grammar_hash(code),
-        assignments=assignments,
-        axes=_axes(assignments),
-        reference_scale_um=_reference_scale(assignments, row),
-        declared_parameter_names=declared,
-    )
-
-
-def _rounded(value: float) -> float:
-    result = round(float(value), 8)
-    return 0.0 if result == -0.0 else result
-
-
-def _scaled_value(
-    value: int | float,
-    factor: float,
-    *,
-    parameter_class: str,
-    reference_scale_um: float,
-) -> int | float:
-    baseline = float(value)
-    if parameter_class == ParameterClass.REPEAT_COUNT.value:
-        delta = -1 if factor < 1.0 else 1
-        return max(2, int(round(baseline)) + delta)
-    if baseline != 0:
-        return _rounded(baseline * factor)
-    if parameter_class == ParameterClass.ANGLE.value:
-        fallback_scale = 30.0
-    else:
-        fallback_scale = max(0.25, reference_scale_um * 0.10)
-    return _rounded((factor - 1.0) * fallback_scale)
-
-
-def _updates_for_axis(
-    contract: ParameterContract, axis: ParameterAxis, factor: float
-) -> dict[str, int | float]:
-    assignments = {item.name: item for item in contract.assignments}
-    return {
-        name: _scaled_value(
-            assignments[name].value,
-            factor,
-            parameter_class=assignments[name].parameter_class,
-            reference_scale_um=contract.reference_scale_um,
-        )
-        for name in axis.names
-    }
-
-
-def _single_axis_spec(
-    contract: ParameterContract,
-    *,
-    slot: str,
-    role: str,
-    direction: str,
-    axis: ParameterAxis,
-    factor: float,
-    fallback: bool,
-) -> CandidateSpec:
-    updates = _updates_for_axis(contract, axis, factor)
-    assignments = {item.name: item for item in contract.assignments}
-    structural_deltas = tuple(
-        sorted(
-            (
-                name,
-                int(round(float(value) - float(assignments[name].value))),
-            )
-            for name, value in updates.items()
-            if assignments[name].parameter_class == ParameterClass.REPEAT_COUNT.value
-        )
-    )
-    return CandidateSpec(
-        slot=slot,
-        role=role,
-        direction=direction,
-        updates=tuple(sorted(updates.items())),
-        axis_ids=(axis.axis_id,),
-        factors=((axis.axis_id, factor),),
-        structural_count_deltas=structural_deltas,
-        fallback=fallback,
-    )
-
-
-def _multi_axis_spec(
-    contract: ParameterContract,
-    *,
-    slot: str,
-    role: str,
-    direction: str,
-    axis_factors: Sequence[tuple[ParameterAxis, float]],
-    fallback: bool,
-) -> CandidateSpec:
-    assignments = {item.name: item for item in contract.assignments}
-    updates: dict[str, int | float] = {}
-    for axis, factor in axis_factors:
-        updates.update(_updates_for_axis(contract, axis, factor))
-    structural_deltas = tuple(
-        sorted(
-            (
-                name,
-                int(round(float(value) - float(assignments[name].value))),
-            )
-            for name, value in updates.items()
-            if assignments[name].parameter_class == ParameterClass.REPEAT_COUNT.value
-        )
-    )
-    return CandidateSpec(
-        slot=slot,
-        role=role,
-        direction=direction,
-        updates=tuple(sorted(updates.items())),
-        axis_ids=tuple(axis.axis_id for axis, _ in axis_factors),
-        factors=tuple((axis.axis_id, factor) for axis, factor in axis_factors),
-        structural_count_deltas=structural_deltas,
-        fallback=fallback,
-    )
-
-
-def candidate_specs(
-    contract: ParameterContract, slot: str | None = None
-) -> tuple[CandidateSpec, ...] | CandidateSpec:
-    """Return the exact deterministic ``r01``--``r07`` mutation schedule.
-
-    With no safe axes the result is an empty tuple.  If ``slot`` is provided,
-    the matching spec is returned or ``KeyError`` is raised.
-    """
-
-    axes = contract.axes
-    if not axes:
-        if slot is not None:
-            raise KeyError(f"{slot}: anchor has no safe realization axis")
-        return ()
-
-    primary = axes[0]
-    secondary = axes[1] if len(axes) > 1 else None
-    tertiary = axes[2] if len(axes) > 2 else None
-    specs: list[CandidateSpec] = [
-        _single_axis_spec(
-            contract,
-            slot="r01",
-            role="primary",
-            direction="low",
-            axis=primary,
-            factor=0.82,
-            fallback=False,
-        ),
-        _single_axis_spec(
-            contract,
-            slot="r02",
-            role="primary",
-            direction="high",
-            axis=primary,
-            factor=1.18,
-            fallback=False,
-        ),
-    ]
-
-    if secondary is not None:
-        secondary_axis = secondary
-        secondary_factors = {"low": 0.84, "high": 1.16}
-        secondary_fallback = False
-    else:
-        secondary_axis = primary
-        secondary_factors = SECONDARY_FALLBACK
-        secondary_fallback = True
-    for slot_name, direction in (("r03", "low"), ("r04", "high")):
-        specs.append(
-            _single_axis_spec(
-                contract,
-                slot=slot_name,
-                role="secondary",
-                direction=direction,
-                axis=secondary_axis,
-                factor=secondary_factors[direction],
-                fallback=secondary_fallback,
-            )
-        )
-
-    repeat_pair = (
-        len(axes) == 2
-        and all(
-            axis.parameter_class == ParameterClass.REPEAT_COUNT.value
-            for axis in axes
-        )
-    )
-    if repeat_pair:
-        # A two-dimensional repeated array has no honest third scalar axis.
-        # The tertiary fallback therefore changes both counts covariantly,
-        # still by only one element per axis.
-        for slot_name, direction, factor in (
-            ("r05", "low", 0.86),
-            ("r06", "high", 1.14),
-        ):
-            specs.append(
-                _multi_axis_spec(
-                    contract,
-                    slot=slot_name,
-                    role="tertiary",
-                    direction=direction,
-                    axis_factors=((primary, factor), (secondary, factor)),
-                    fallback=True,
-                )
-            )
-    elif tertiary is not None:
-        tertiary_axis = tertiary
-        tertiary_factors = {"low": 0.86, "high": 1.14}
-        tertiary_fallback = False
-    elif secondary is not None:
-        tertiary_axis = secondary
-        tertiary_factors = TERTIARY_TO_SECONDARY_FALLBACK
-        tertiary_fallback = True
-    else:
-        tertiary_axis = primary
-        tertiary_factors = TERTIARY_TO_PRIMARY_FALLBACK
-        tertiary_fallback = True
-    if not repeat_pair:
-        for slot_name, direction in (("r05", "low"), ("r06", "high")):
-            specs.append(
-                _single_axis_spec(
-                    contract,
-                    slot=slot_name,
-                    role="tertiary",
-                    direction=direction,
-                    axis=tertiary_axis,
-                    factor=tertiary_factors[direction],
-                    fallback=tertiary_fallback,
-                )
-            )
-
-    interaction_axes = [primary]
-    if secondary is not None:
-        interaction_axes.append(secondary)
-    if tertiary is not None:
-        interaction_axes.append(tertiary)
-    interaction_axis_factors: list[tuple[ParameterAxis, float]] = []
-    for role, axis in zip(("primary", "secondary", "tertiary"), interaction_axes):
-        interaction_axis_factors.append((axis, INTERACTION_FACTORS[role]))
-    if repeat_pair:
-        assignment_map = {item.name: item for item in contract.assignments}
-        secondary_at_floor = all(
-            int(assignment_map[name].value) <= 2 for name in secondary.names
-        )
-        if secondary_at_floor:
-            interaction_axis_factors = ((primary, 0.90), (secondary, 1.08))
-    specs.append(
-        _multi_axis_spec(
-            contract,
-            slot="r07",
-            role="interaction",
-            direction="mixed",
-            axis_factors=interaction_axis_factors,
-            fallback=len(interaction_axes) < 3,
-        )
-    )
-
-    result = tuple(specs)
-    if len({item.slot for item in result}) != 7:
-        raise AssertionError("internal schedule error: expected seven unique slots")
-    if slot is None:
-        return result
-    for spec in result:
-        if spec.slot == slot:
-            return spec
-    raise KeyError(f"unknown depth-v1 slot: {slot}")
-
-
-class _NormalizeAssignments(ast.NodeTransformer):
-    def __init__(self, names: set[str]) -> None:
-        self.names = names
-
-    def _normalize(
-        self, node: ast.Assign | ast.AnnAssign
-    ) -> ast.Assign | ast.AnnAssign:
-        targets = node.targets if isinstance(node, ast.Assign) else [node.target]
-        if len(targets) == 1 and isinstance(targets[0], ast.Name):
-            name = targets[0].id
-            if name in self.names:
-                try:
-                    ast.literal_eval(node.value)
-                except (ValueError, TypeError):
-                    return node
-                node.value = ast.copy_location(
-                    ast.Constant(value=f"__PIXCell_PARAMETER__:{name}"), node.value
-                )
-        return node
-
-    def visit_Module(self, node: ast.Module) -> ast.Module:  # noqa: N802
-        # Only direct children are eligible; assignments inside device() are
-        # grammar, never mutable depth parameters.
-        node.body = [
-            self._normalize(child)
-            if isinstance(child, (ast.Assign, ast.AnnAssign))
-            else child
-            for child in node.body
-        ]
-        return node
-
-
-def normalized_grammar_hash(
-    code: str, parameter_names: Iterable[str] | None = None
-) -> str:
-    """Hash an AST after replacing selected top-level literal RHS values.
-
-    With no explicit names, every simple top-level literal is normalized.  Use
-    ``prove_literal_rewrite`` when the exact allowed delta must be enforced.
-    """
-
-    if parameter_names is None:
-        names = {assignment.name for assignment in top_level_literals(code)}
-    else:
-        names = set(parameter_names)
-    tree = ast.parse(code)
-    normalized = _NormalizeAssignments(names).visit(tree)
-    ast.fix_missing_locations(normalized)
-    payload = ast.dump(normalized, annotate_fields=True, include_attributes=False)
-    return hashlib.sha256(payload.encode("utf-8")).hexdigest()
-
-
-class _RewriteAssignments(ast.NodeTransformer):
-    def __init__(self, updates: Mapping[str, Any]) -> None:
-        self.updates = dict(updates)
-        self.rewritten: set[str] = set()
-
-    def _rewrite(self, node: ast.Assign | ast.AnnAssign) -> ast.AST:
-        targets = node.targets if isinstance(node, ast.Assign) else [node.target]
-        if len(targets) != 1 or not isinstance(targets[0], ast.Name):
-            return node
-        name = targets[0].id
-        if name not in self.updates:
-            return node
-        try:
-            old_value = ast.literal_eval(node.value)
-        except (ValueError, TypeError) as exc:
-            raise ValueError(f"{name} is not a literal assignment") from exc
-        new_value = self.updates[name]
-        if not _is_scalar_number(old_value) or not _is_scalar_number(new_value):
-            raise TypeError(f"{name}: depth rewrites require scalar numeric literals")
-        if not math.isfinite(float(new_value)):
-            raise ValueError(f"{name}: update must be finite")
-        node.value = ast.copy_location(_literal_expression(new_value), node.value)
-        self.rewritten.add(name)
-        return node
-
-    def visit_Module(self, node: ast.Module) -> ast.Module:  # noqa: N802
-        node.body = [
-            self._rewrite(child)
-            if isinstance(child, (ast.Assign, ast.AnnAssign))
-            else child
-            for child in node.body
-        ]
-        return node
-
-
-def _literal_map(code: str) -> dict[str, Any]:
-    return {assignment.name: assignment.value for assignment in top_level_literals(code)}
-
-
-def prove_literal_rewrite(
-    before: str, after: str, expected_updates: Mapping[str, int | float]
-) -> dict[str, Any]:
-    """Prove that exactly ``expected_updates`` changed and grammar was fixed."""
-
-    expected = dict(expected_updates)
-    before_literals = _literal_map(before)
-    after_literals = _literal_map(after)
-    if before_literals.keys() != after_literals.keys():
-        raise AssertionError("module-level literal assignment set changed")
-    unknown = sorted(set(expected) - before_literals.keys())
-    if unknown:
-        raise AssertionError(f"expected update names are absent: {unknown}")
-    changed = {
-        name
-        for name in before_literals
-        if before_literals[name] != after_literals[name]
-    }
-    expected_changed = {
-        name
-        for name, value in expected.items()
-        if before_literals[name] != value
-    }
-    if changed != expected_changed:
-        raise AssertionError(
-            "literal delta mismatch: "
-            f"observed={sorted(changed)} expected={sorted(expected_changed)}"
-        )
-    for name, value in expected.items():
-        if after_literals[name] != value:
-            raise AssertionError(
-                f"{name}: observed {after_literals[name]!r}, expected {value!r}"
-            )
-    names = set(expected)
-    before_hash = normalized_grammar_hash(before, names)
-    after_hash = normalized_grammar_hash(after, names)
-    if before_hash != after_hash:
-        raise AssertionError("normalized AST grammar changed outside approved literals")
-    return {
-        "changed_names": sorted(changed),
-        "frozen_literals_unchanged": True,
-        "grammar_preserved": True,
-        "normalized_grammar_hash": before_hash,
-    }
-
-
-def rewrite_parameters(code: str, updates: Mapping[str, int | float]) -> str:
-    """Rewrite only named, literal module-level scalar assignments."""
-
-    if not updates:
-        raise ValueError("at least one parameter update is required")
-    existing = _literal_map(code)
-    missing = sorted(set(updates) - existing.keys())
-    if missing:
-        raise KeyError(f"unknown module-level literal assignments: {missing}")
-    transformer = _RewriteAssignments(updates)
-    tree = transformer.visit(ast.parse(code))
-    if transformer.rewritten != set(updates):
-        missing_rewrites = sorted(set(updates) - transformer.rewritten)
-        raise AssertionError(f"failed to rewrite assignments: {missing_rewrites}")
-    ast.fix_missing_locations(tree)
-    rewritten = ast.unparse(tree) + "\n"
-    prove_literal_rewrite(code, rewritten, updates)
-    return rewritten
-
-
-def contract_json(contract: ParameterContract) -> str:
-    """Canonical JSON encoding used by manifests and deterministic tests."""
-
-    return json.dumps(
-        contract.to_dict(),
-        sort_keys=True,
-        separators=(",", ":"),
-        ensure_ascii=True,
-        allow_nan=False,
-    )
-
-
-def audit_contracts(
-    rows: Iterable[Mapping[str, Any]],
-) -> dict[str, Any]:
-    """Classify and rewrite-test an iterable of semantic anchor rows."""
-
-    anchors = 0
-    schedulable = 0
-    rewrite_proofs = 0
-    effective_candidates = 0
-    axis_histogram: dict[str, int] = {}
-    class_histogram: dict[str, int] = {}
-    unschedulable: list[dict[str, str]] = []
-    no_effect_specs: list[dict[str, str]] = []
-    duplicate_specs: list[dict[str, str]] = []
-    for row in rows:
-        if row.get("variation_role") != "semantic":
-            continue
-        anchors += 1
-        contract = classify_parameters(str(row["code"]), row)
-        axis_key = str(len(contract.axes))
-        axis_histogram[axis_key] = axis_histogram.get(axis_key, 0) + 1
-        for parameter in contract.assignments:
-            class_histogram[parameter.parameter_class] = (
-                class_histogram.get(parameter.parameter_class, 0) + 1
-            )
-        specs = candidate_specs(contract)
-        if not specs:
-            unschedulable.append(
-                {
-                    "id": str(row.get("id", "")),
-                    "grammar_id": str(row.get("grammar_id", "")),
-                    "reason": "no declared top-level continuous dimension or angle",
-                }
-            )
-            continue
-        schedulable += 1
-        baseline = _literal_map(str(row["code"]))
-        seen_effects: dict[tuple[tuple[str, int | float], ...], str] = {}
-        for spec in specs:
-            rewritten = rewrite_parameters(str(row["code"]), dict(spec.updates))
-            proof = prove_literal_rewrite(
-                str(row["code"]), rewritten, dict(spec.updates)
-            )
-            if not proof["grammar_preserved"]:
-                raise AssertionError(f"{row.get('id')}/{spec.slot}: grammar changed")
-            rewrite_proofs += 1
-            effect = tuple(
-                (name, value)
-                for name, value in spec.updates
-                if baseline[name] != value
-            )
-            if not effect:
-                no_effect_specs.append(
-                    {"id": str(row.get("id", "")), "slot": spec.slot}
-                )
-            elif effect in seen_effects:
-                duplicate_specs.append(
-                    {
-                        "id": str(row.get("id", "")),
-                        "slot": spec.slot,
-                        "duplicates_slot": seen_effects[effect],
-                    }
-                )
-            else:
-                effective_candidates += 1
-                seen_effects[effect] = spec.slot
-    return {
-        "schedule_version": SCHEDULE_VERSION,
-        "semantic_anchors": anchors,
-        "schedulable_anchors": schedulable,
-        "unschedulable_anchors": unschedulable,
-        "coverage": (schedulable / anchors) if anchors else 0.0,
-        "rewrite_proofs": rewrite_proofs,
-        "effective_candidates": effective_candidates,
-        "no_effect_specs": no_effect_specs,
-        "duplicate_specs": duplicate_specs,
-        "axis_count_histogram": dict(
-            sorted(axis_histogram.items(), key=lambda item: int(item[0]))
-        ),
-        "parameter_class_histogram": dict(sorted(class_histogram.items())),
-    }
-
-
-__all__ = [
-    "CandidateSpec",
-    "ClassifiedParameter",
-    "LiteralAssignment",
-    "ParameterAxis",
-    "ParameterClass",
-    "ParameterContract",
-    "SCHEDULE",
-    "SCHEDULE_VERSION",
-    "audit_contracts",
-    "candidate_specs",
-    "classify_parameters",
-    "contract_json",
-    "normalized_grammar_hash",
-    "prove_literal_rewrite",
-    "rewrite_parameters",
-    "top_level_literals",
-]
diff --git a/depth-v1/scripts/render_galleries.py b/depth-v1/scripts/render_galleries.py
deleted file mode 100644
index 2d20c16a18c67fe82fc2de393761c802abde0b38..0000000000000000000000000000000000000000
--- a/depth-v1/scripts/render_galleries.py
+++ /dev/null
@@ -1,320 +0,0 @@
-#!/usr/bin/env python3
-"""Render deterministic review galleries for the PixCell depth-v1 release."""
-
-from __future__ import annotations
-
-import argparse
-import io
-import json
-from collections import defaultdict
-from pathlib import Path
-from typing import Any
-
-import pyarrow.parquet as pq
-from PIL import Image, ImageDraw, ImageFont, ImageOps
-
-from schema import (
-    ANCHOR_ONLY_PARENT_IDS,
-    APPROVED_REPRESENTATION_COUNT,
-    DEPTH_ELIGIBLE_COUNT,
-    GEOMETRY_STATE_COUNT,
-)
-
-LEVELS = ("L0", "L1", "L2", "L3", "L4")
-STATE_SLOTS = tuple(range(GEOMETRY_STATE_COUNT))
-PAGE_ROWS = 12
-CELL_WIDTH = 160
-CELL_HEIGHT = 164
-IMAGE_BOX = 138
-HEADER_HEIGHT = 54
-
-
-def _font(size: int, *, bold: bool = False) -> ImageFont.ImageFont:
-    del bold
-    try:
-        return ImageFont.load_default(size=size)
-    except TypeError:  # Pillow < 10 compatibility for downstream users.
-        return ImageFont.load_default()
-
-
-def _image(value: Any) -> Image.Image:
-    if not isinstance(value, dict) or not value.get("bytes"):
-        raise ValueError("gallery row does not contain embedded image bytes")
-    with Image.open(io.BytesIO(bytes(value["bytes"]))) as opened:
-        return opened.convert("L")
-
-
-def _thumbnail(value: Any, size: int = IMAGE_BOX) -> Image.Image:
-    image = _image(value)
-    fitted = ImageOps.contain(image, (size, size), Image.Resampling.LANCZOS)
-    canvas = Image.new("L", (size, size), 255)
-    canvas.paste(
-        fitted,
-        ((size - fitted.width) // 2, (size - fitted.height) // 2),
-    )
-    return canvas
-
-
-def _load_rows(root: Path) -> list[dict[str, Any]]:
-    rows: list[dict[str, Any]] = []
-    for split in ("train", "validation"):
-        for path in sorted((root / "data").glob(f"{split}-*.parquet")):
-            rows.extend(pq.read_table(path).to_pylist())
-    if not rows:
-        raise ValueError(f"no depth-v1 Parquet shards found below {root / 'data'}")
-    return rows
-
-
-def _state_rows(
-    rows: list[dict[str, Any]],
-) -> dict[str, dict[int, dict[str, Any]]]:
-    grouped: dict[str, dict[int, dict[str, Any]]] = defaultdict(dict)
-    for row in rows:
-        slot = int(row["realization_slot"])
-        if slot in STATE_SLOTS:
-            grammar_id = str(row["grammar_id"])
-            if slot in grouped[grammar_id]:
-                raise ValueError(f"duplicate gallery state: {grammar_id}/{slot}")
-            grouped[grammar_id][slot] = row
-    expected_complete_slots = set(STATE_SLOTS)
-    anchor_only_observed: set[str] = set()
-    invalid: dict[str, dict[str, Any]] = {}
-    for grammar_id, states in grouped.items():
-        anchor = states.get(0)
-        if anchor is None:
-            invalid[grammar_id] = {
-                "expected": sorted(expected_complete_slots),
-                "observed": sorted(states),
-                "reason": "missing anchor",
-            }
-            continue
-        parent_id = str(anchor.get("parent_core_id", ""))
-        expected = {0} if parent_id in ANCHOR_ONLY_PARENT_IDS else expected_complete_slots
-        if set(states) != expected:
-            invalid[grammar_id] = {
-                "expected": sorted(expected),
-                "observed": sorted(states),
-                "reason": "state schedule differs",
-            }
-        if set(states) == {0}:
-            anchor_only_observed.add(parent_id)
-    if invalid:
-        first = next(iter(sorted(invalid.items())))
-        raise ValueError(f"invalid gallery state schedule: {first}")
-    if anchor_only_observed != set(ANCHOR_ONLY_PARENT_IDS):
-        raise ValueError(
-            "anchor-only gallery inventory differs: "
-            f"observed={sorted(anchor_only_observed)}, "
-            f"expected={sorted(ANCHOR_ONLY_PARENT_IDS)}"
-        )
-    return dict(grouped)
-
-
-def _draw_progression_page(
-    records: list[tuple[str, dict[int, dict[str, Any]]]],
-    *,
-    level: str,
-    page_number: int,
-    page_count: int,
-) -> Image.Image:
-    width = len(STATE_SLOTS) * CELL_WIDTH
-    height = HEADER_HEIGHT + len(records) * CELL_HEIGHT
-    canvas = Image.new("RGB", (width, height), "white")
-    draw = ImageDraw.Draw(canvas)
-    title_font = _font(16, bold=True)
-    label_font = _font(11)
-    small_font = _font(9)
-    draw.text(
-        (10, 8),
-        f"PixCell depth-v1 · {level} · page {page_number}/{page_count}",
-        fill="black",
-        font=title_font,
-    )
-    for column, slot in enumerate(STATE_SLOTS):
-        draw.text(
-            (column * CELL_WIDTH + 8, 33),
-            f"r{slot:02d}",
-            fill=(70, 70, 70),
-            font=label_font,
-        )
-    for row_index, (grammar_id, states) in enumerate(records):
-        y0 = HEADER_HEIGHT + row_index * CELL_HEIGHT
-        for column, slot in enumerate(STATE_SLOTS):
-            record = states[slot]
-            x0 = column * CELL_WIDTH
-            thumb = _thumbnail(record["image"])
-            canvas.paste(thumb.convert("RGB"), (x0 + 11, y0 + 2))
-            label = str(record["label"]) if column == 0 else str(
-                record["transform_kind"]
-            )
-            label = label.replace("\n", " ")
-            if len(label) > 25:
-                label = label[:24] + "…"
-            draw.text(
-                (x0 + 5, y0 + IMAGE_BOX + 4),
-                label,
-                fill=(25, 25, 25),
-                font=small_font,
-            )
-            draw.rectangle(
-                (x0, y0, x0 + CELL_WIDTH - 1, y0 + CELL_HEIGHT - 1),
-                outline=(220, 220, 220),
-                width=1,
-            )
-        draw.text(
-            (5, y0 + 5),
-            grammar_id[:18],
-            fill=(85, 85, 85),
-            font=small_font,
-        )
-    return canvas
-
-
-def _draw_overview(
-    grouped: dict[str, dict[int, dict[str, Any]]],
-) -> Image.Image:
-    anchors = [
-        states[0]
-        for _grammar_id, states in sorted(grouped.items())
-    ]
-    columns = 16
-    cell_width = 150
-    cell_height = 164
-    rows = (len(anchors) + columns - 1) // columns
-    canvas = Image.new(
-        "RGB",
-        (columns * cell_width, HEADER_HEIGHT + rows * cell_height),
-        "white",
-    )
-    draw = ImageDraw.Draw(canvas)
-    draw.text(
-        (10, 8),
-        "PixCell depth-v1 · 547 approved representation anchors",
-        fill="black",
-        font=_font(18, bold=True),
-    )
-    draw.text(
-        (10, 32),
-        (
-            f"{DEPTH_ELIGIBLE_COUNT} anchors have seven controlled geometry "
-            "descendants in the progression pages."
-        ),
-        fill=(70, 70, 70),
-        font=_font(11),
-    )
-    for index, record in enumerate(anchors):
-        column = index % columns
-        row = index // columns
-        x0 = column * cell_width
-        y0 = HEADER_HEIGHT + row * cell_height
-        thumb = _thumbnail(record["image"], size=128)
-        canvas.paste(thumb.convert("RGB"), (x0 + 11, y0 + 2))
-        label = str(record["label"]).replace("\n", " ")
-        if len(label) > 23:
-            label = label[:22] + "…"
-        draw.text(
-            (x0 + 5, y0 + 134),
-            f"{record['level']} · {label}",
-            fill=(25, 25, 25),
-            font=_font(9),
-        )
-        draw.rectangle(
-            (x0, y0, x0 + cell_width - 1, y0 + cell_height - 1),
-            outline=(225, 225, 225),
-            width=1,
-        )
-    return canvas
-
-
-def render_galleries(root: Path) -> dict[str, Any]:
-    root = root.expanduser().resolve()
-    rows = _load_rows(root)
-    grouped = _state_rows(rows)
-    if len(grouped) != APPROVED_REPRESENTATION_COUNT:
-        raise ValueError(
-            f"expected {APPROVED_REPRESENTATION_COUNT} representation anchors, "
-            f"got {len(grouped)}"
-        )
-    progressions = {
-        grammar_id: states
-        for grammar_id, states in grouped.items()
-        if str(states[0]["parent_core_id"]) not in ANCHOR_ONLY_PARENT_IDS
-    }
-    if len(progressions) != DEPTH_ELIGIBLE_COUNT:
-        raise ValueError(
-            f"expected {DEPTH_ELIGIBLE_COUNT} complete progressions, "
-            f"got {len(progressions)}"
-        )
-
-    galleries = root / "galleries"
-    pages_root = galleries / "progressions"
-    pages_root.mkdir(parents=True, exist_ok=True)
-    overview = _draw_overview(grouped)
-    overview_path = galleries / "overview.png"
-    overview.save(overview_path, format="PNG", optimize=False, compress_level=9)
-
-    records: list[dict[str, Any]] = []
-    for level in LEVELS:
-        level_records = [
-            (grammar_id, states)
-            for grammar_id, states in sorted(progressions.items())
-            if states[0]["level"] == level
-        ]
-        page_count = (len(level_records) + PAGE_ROWS - 1) // PAGE_ROWS
-        for page_index in range(page_count):
-            chunk = level_records[
-                page_index * PAGE_ROWS : (page_index + 1) * PAGE_ROWS
-            ]
-            image = _draw_progression_page(
-                chunk,
-                level=level,
-                page_number=page_index + 1,
-                page_count=page_count,
-            )
-            relative = (
-                Path("galleries")
-                / "progressions"
-                / f"{level.lower()}-{page_index + 1:02d}.png"
-            )
-            target = root / relative
-            image.save(target, format="PNG", optimize=False, compress_level=9)
-            records.append(
-                {
-                    "level": level,
-                    "page": page_index + 1,
-                    "path": relative.as_posix(),
-                    "representation_ids": [grammar_id for grammar_id, _ in chunk],
-                }
-            )
-
-    manifest = {
-        "overview": "galleries/overview.png",
-        "anchor_representation_count": len(grouped),
-        "progression_representation_count": len(progressions),
-        "anchor_only_parent_ids": sorted(ANCHOR_ONLY_PARENT_IDS),
-        "progression_page_count": len(records),
-        "state_slots": [f"r{slot:02d}" for slot in STATE_SLOTS],
-        "pages": records,
-    }
-    metadata = root / "metadata"
-    metadata.mkdir(parents=True, exist_ok=True)
-    (metadata / "gallery_manifest.json").write_text(
-        json.dumps(manifest, indent=2, sort_keys=True) + "\n",
-        encoding="utf-8",
-    )
-    return manifest
-
-
-def main() -> None:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument(
-        "--root",
-        type=Path,
-        default=Path(__file__).resolve().parents[1],
-    )
-    args = parser.parse_args()
-    print(json.dumps(render_galleries(args.root), indent=2, sort_keys=True))
-
-
-if __name__ == "__main__":
-    main()
diff --git a/depth-v1/scripts/render_review_pack.py b/depth-v1/scripts/render_review_pack.py
deleted file mode 100644
index 0f497d709b0639e09bdfc105f90df9c4612dfc65..0000000000000000000000000000000000000000
--- a/depth-v1/scripts/render_review_pack.py
+++ /dev/null
@@ -1,1001 +0,0 @@
-#!/usr/bin/env python3
-"""Render a compact, parameter-labeled review pack from depth-v1 Parquet.
-
-This is deliberately separate from the release galleries.  It selects a
-curated cross-section of complete r00-r07 realization groups, displays the
-exact model image from each Parquet row, and derives every displayed parameter
-label from ``parameter_delta_json``.  It is a review-only artifact, not part of
-the frozen release, and never executes or re-renders a target program.
-"""
-
-from __future__ import annotations
-
-import argparse
-import hashlib
-import io
-import json
-import shutil
-import tempfile
-import textwrap
-from collections import defaultdict
-from dataclasses import dataclass
-from pathlib import Path
-from typing import Any, Mapping, Sequence
-
-import pyarrow.parquet as pq
-from PIL import Image, ImageDraw, ImageFont, ImageOps
-
-import schema as depth_schema
-
-
-STATE_SLOTS = tuple(range(8))
-LEFT_WIDTH = 310
-CELL_WIDTH = 190
-ROW_HEIGHT = 242
-HEADER_HEIGHT = 94
-IMAGE_SIZE = 136
-PNG_COMPRESSION = 9
-
-
-@dataclass(frozen=True)
-class Pick:
-    """One intentionally selected representation and why it is useful."""
-
-    grammar_id: str
-    rationale: str
-
-
-@dataclass(frozen=True)
-class SheetSpec:
-    """One approval sheet and its curated representation cross-section."""
-
-    slug: str
-    title: str
-    summary: str
-    picks: tuple[Pick, ...]
-
-
-SHEETS = (
-    SheetSpec(
-        slug="01-primitives",
-        title="L0 · primitive geometry",
-        summary=(
-            "Basic filled shapes, routed curves, paired rails, paths, tapers, "
-            "and a spiral."
-        ),
-        picks=(
-            Pick("g_893acd0ec3151d5eae07", "equal-axis rectangle"),
-            Pick("g_35cad8c233ec1f971f8b", "annulus with visible wall"),
-            Pick("g_a2b970c7d908676a5762", "orthogonal cross body"),
-            Pick("g_028fd1f12a2521a8d04f", "right-triangle silhouette"),
-            Pick("g_aae899a2a998f4339b96", "anisotropic ellipse"),
-            Pick("g_1b60cd40859bcb3d5b9a", "six-sided regular polygon"),
-            Pick("g_cf57549f011e9ba43a2a", "unequal-leg concave L"),
-            Pick("g_2a7e8fa58fcd9e2dfc34", "Euler quarter bend"),
-            Pick("g_fce2058b6f5bc83c5756", "offset S-bend"),
-            Pick("g_72075acbffecff838008", "inflected Bezier route"),
-            Pick("g_ef74120b3121c58a2008", "linear width transition"),
-            Pick("g_69ffd5d44dbe9c317101", "two-rail straight coupler"),
-            Pick("g_92e853d55b966b89bbd6", "smoothed waypoint route"),
-            Pick("g_d1aaa3f41bddda724f28", "two-loop spiral path"),
-        ),
-    ),
-    SheetSpec(
-        slug="02-operations-compositions",
-        title="L1–L2 · operations and compositions",
-        summary=(
-            "Rigid transforms, spatial relations, Boolean construction, "
-            "routing, repetition, branching, and composite arrays."
-        ),
-        picks=(
-            Pick("l1_02_rotate__c1", "rigid rotation of a heterogeneous group"),
-            Pick("l1_03_mirror__b2", "three-body chiral reflection"),
-            Pick("l1_04_center_align__c1", "three-body nested alignment"),
-            Pick("l1_06_gap__b1", "measured ring-to-bus gap"),
-            Pick("l1_07_tangency__c2", "two-sided contact relation"),
-            Pick("l1_09_connect__c2", "compound connected path"),
-            Pick("l1_15_boolean_not__c1", "multi-hole Boolean subtraction"),
-            Pick("l1_16_boolean_xor__c2", "concave exclusive regions"),
-            Pick("l1_18_radial_repetition__b2", "oriented partial radial fan"),
-            Pick("l1_19_array_2d__c1", "two-dimensional cross array"),
-            Pick("l1_20_route_single__c2", "multi-turn terminal routing"),
-            Pick("l2_01_mirrored_fixed_gap_pair__s01", "mirrored taper pair"),
-            Pick("l2_14_local_branch_junction__s04", "asymmetric local fork"),
-            Pick(
-                "l2_15_approach_parallel_departure_pair__s05",
-                "flared interaction window",
-            ),
-            Pick(
-                "l2_16_repeated_carrier_combination__s04",
-                "chirped repeated carrier",
-            ),
-            Pick("l2_17_composite_cell_2d_array__s04", "composite cell lattice"),
-            Pick("l2_20_oriented_radial_bank__s03", "spiraling petal bank"),
-        ),
-    ),
-    SheetSpec(
-        slug="03-networks-repeated-media",
-        title="L3 · networks and repeated media",
-        summary=(
-            "Hierarchical paths, branches, body-route systems, defects, "
-            "supercells, radial hubs, and cyclic graphs."
-        ),
-        picks=(
-            Pick(
-                "l3_01_serial_heterogeneous_chain_s03",
-                "serial signed-curve width chain",
-            ),
-            Pick(
-                "l3_02_parallel_reconvergent_bundle_s05",
-                "nested reconvergent branch",
-            ),
-            Pick(
-                "l3_03_recursive_asymmetric_branch_hierarchy_s05",
-                "unequal recursive tree",
-            ),
-            Pick(
-                "l3_04_persistent_trunk_with_side_branches_s03",
-                "multi-axis tapped trunk",
-            ),
-            Pick(
-                "l3_07_constructive_body_terminal_system_s06",
-                "annular body with radial terminals",
-            ),
-            Pick(
-                "l3_10_obstacle_constrained_route_bundle_s03",
-                "multi-route obstacle avoidance",
-            ),
-            Pick(
-                "l3_11_transition_repeated_transition_spine_s03",
-                "graded repeated spine",
-            ),
-            Pick(
-                "l3_13_dual_bank_local_defect_s06",
-                "phase-slip defect between banks",
-            ),
-            Pick(
-                "l3_14_supercell_array_with_channel_or_defect_s03",
-                "diagonal channel in a supercell array",
-            ),
-            Pick(
-                "l3_15_constructive_hub_radial_hierarchy_s04",
-                "two-rank radial fork hierarchy",
-            ),
-            Pick(
-                "l3_16_multi_axis_hub_terminal_routes_s06",
-                "multi-axis heterogeneous routes",
-            ),
-            Pick(
-                "l3_19_multi_body_routed_assembly_s03",
-                "routed cycle with terminals",
-            ),
-            Pick(
-                "l3_21_branch_coupled_repeated_media_s05",
-                "branch-local vacancy and substitution",
-            ),
-            Pick(
-                "l3_22_cyclic_carrier_terminal_graph_s06",
-                "concentric cyclic terminal graph",
-            ),
-        ),
-    ),
-    SheetSpec(
-        slug="04-photonic-devices",
-        title="L4 · photonic devices",
-        summary=(
-            "Splitters, MMIs, directional and adiabatic couplers, resonators, "
-            "interferometers, and crossings."
-        ),
-        picks=(
-            Pick("mmi_block_1x2", "full-access 1x2 MMI"),
-            Pick("mmi_splitter_1x4", "resolved four-channel MMI"),
-            Pick("y_branch_smooth_1x2", "smooth Y branch"),
-            Pick("splitter_tree_1x4", "explicit two-stage splitter tree"),
-            Pick("directional_side_tap_coupler_1x2", "generic 1x2 side tap"),
-            Pick(
-                "directional_coupler_sbend_2x2",
-                "conventional 2x2 directional coupler",
-            ),
-            Pick(
-                "directional_coupler_dual_window_2x2",
-                "dual interaction-window coupler",
-            ),
-            Pick(
-                "adiabatic_mode_evolution_coupler_1x2",
-                "complementary adiabatic exchange",
-            ),
-            Pick("adiabatic_coupler_full_2x2", "full-access adiabatic 2x2"),
-            Pick("ring_bus_drop", "four-port ring drop"),
-            Pick(
-                "bragg_loaded_racetrack_resonator_1x1",
-                "structured racetrack resonator",
-            ),
-            Pick("mzi_hexagonal", "angular MZI topology"),
-            Pick("mzi_unbalanced", "unequal-arm MZI"),
-            Pick("crossing_curved_x", "continuous-curvature crossing"),
-            Pick("adiabatic_crossing_2x2", "four-lobe adiabatic crossing"),
-        ),
-    ),
-    SheetSpec(
-        slug="05-structured-photonics",
-        title="L4 · structured photonics",
-        summary=(
-            "Chirped and segmented gratings, periodic couplers, defect "
-            "cavities, edge/mode converters, and free-propagation fans."
-        ),
-        picks=(
-            Pick(
-                "chirped_apodized_tapered_grating_1x0",
-                "chirped and apodized tapered teeth",
-            ),
-            Pick(
-                "segmented_swg_grating_coupler_1x0",
-                "segmented subwavelength tapered grating",
-            ),
-            Pick("focusing_grating_coupler_arcs", "curved focusing teeth"),
-            Pick(
-                "apodized_hole_lattice_grating_1x0",
-                "graded two-dimensional hole lattice",
-            ),
-            Pick(
-                "corrugated_contra_directional_coupler_2x2",
-                "corrugated interaction region",
-            ),
-            Pick("swg_directional_coupler_2x2", "segmented 2x2 coupler"),
-            Pick(
-                "nanobeam_hole_defect_cavity_1x1",
-                "hole-defect nanobeam cavity",
-            ),
-            Pick(
-                "phase_shifted_bragg_cavity_1x1",
-                "phase-shifted Bragg cavity",
-            ),
-            Pick(
-                "photonic_crystal_line_defect_cavity_1x1",
-                "two-dimensional line defect",
-            ),
-            Pick("apodized_swg_edge_coupler_1x1", "apodized edge converter"),
-            Pick(
-                "segmented_trident_edge_coupler_3x1",
-                "segmented multi-tip edge converter",
-            ),
-            Pick("slot_to_strip_converter_1x1", "slot-to-strip evolution"),
-            Pick(
-                "polarization_splitter_rotator_1x2",
-                "polarization splitter-rotator",
-            ),
-            Pick("star_coupler_2x4", "two-by-four star coupler"),
-            Pick("star_fan_1x4", "one-by-four free-propagation fan"),
-            Pick("double_sidewall_tooth_array", "apodized bilateral teeth"),
-        ),
-    ),
-)
-
-
-def _font(size: int, *, bold: bool = False) -> ImageFont.ImageFont:
-    names = (
-        "DejaVuSans-Bold.ttf" if bold else "DejaVuSans.ttf",
-        "Arial Bold.ttf" if bold else "Arial.ttf",
-    )
-    for name in names:
-        try:
-            return ImageFont.truetype(name, size=size)
-        except OSError:
-            continue
-    try:
-        return ImageFont.load_default(size=size)
-    except TypeError:
-        return ImageFont.load_default()
-
-
-def _json_object(value: Any, *, field: str, row_id: str) -> dict[str, Any]:
-    try:
-        parsed = json.loads(str(value))
-    except (TypeError, ValueError) as exc:
-        raise ValueError(f"{row_id}: invalid {field}") from exc
-    if not isinstance(parsed, dict):
-        raise ValueError(f"{row_id}: {field} is not an object")
-    return parsed
-
-
-def _load_rows(root: Path) -> tuple[list[dict[str, Any]], list[Path]]:
-    paths = [
-        path
-        for split in ("train", "validation")
-        for path in sorted((root / "data").glob(f"{split}-*.parquet"))
-    ]
-    if not paths:
-        raise ValueError(f"no Parquet shards found below {root / 'data'}")
-    rows: list[dict[str, Any]] = []
-    for path in paths:
-        rows.extend(pq.read_table(path).to_pylist())
-    return rows, paths
-
-
-def _group_sweeps(
-    rows: Sequence[Mapping[str, Any]],
-) -> tuple[dict[str, dict[int, Mapping[str, Any]]], tuple[str, ...]]:
-    grouped: dict[str, dict[int, Mapping[str, Any]]] = defaultdict(dict)
-    for row in rows:
-        slot = int(row["realization_slot"])
-        if slot not in STATE_SLOTS:
-            continue
-        grammar_id = str(row["grammar_id"])
-        if slot in grouped[grammar_id]:
-            raise ValueError(f"duplicate state: {grammar_id}/r{slot:02d}")
-        grouped[grammar_id][slot] = row
-
-    complete: dict[str, dict[int, Mapping[str, Any]]] = {}
-    anchor_only: list[str] = []
-    for grammar_id, states in sorted(grouped.items()):
-        slots = set(states)
-        if slots == set(STATE_SLOTS):
-            complete[grammar_id] = states
-        elif slots == {0}:
-            anchor_only.append(grammar_id)
-        else:
-            raise ValueError(
-                f"{grammar_id}: expected r00 only or r00-r07, got "
-                f"{sorted(slots)}"
-            )
-
-    declared = {
-        str(value)
-        for value in getattr(depth_schema, "ANCHOR_ONLY_PARENT_IDS", ())
-    }
-    declared.update(
-        str(value)
-        for value in getattr(depth_schema, "ANCHOR_ONLY_GRAMMAR_IDS", ())
-    )
-    if declared:
-        keys_by_grammar = {
-            grammar_id: {
-                grammar_id,
-                str(grouped[grammar_id][0]["id"]),
-                str(grouped[grammar_id][0]["parent_core_id"]),
-            }
-            for grammar_id in anchor_only
-        }
-        unmatched_observed = [
-            grammar_id
-            for grammar_id, keys in keys_by_grammar.items()
-            if keys.isdisjoint(declared)
-        ]
-        matched_declared = {
-            value
-            for keys in keys_by_grammar.values()
-            for value in keys & declared
-        }
-        unmatched_declared = sorted(declared - matched_declared)
-        if unmatched_observed or unmatched_declared:
-            raise ValueError(
-                "anchor-only Parquet groups differ from the schema declaration: "
-                f"unexpected={unmatched_observed}, missing={unmatched_declared}"
-            )
-    return complete, tuple(anchor_only)
-
-
-def _embedded_image(row: Mapping[str, Any]) -> Image.Image:
-    value = row["image"]
-    if not isinstance(value, dict) or not value.get("bytes"):
-        raise ValueError(f"{row['id']}: missing embedded model image")
-    with Image.open(io.BytesIO(bytes(value["bytes"]))) as opened:
-        return opened.convert("L")
-
-
-def _thumbnail(row: Mapping[str, Any]) -> Image.Image:
-    image = _embedded_image(row)
-    fitted = ImageOps.contain(
-        image,
-        (IMAGE_SIZE, IMAGE_SIZE),
-        Image.Resampling.LANCZOS,
-    )
-    canvas = Image.new("L", (IMAGE_SIZE, IMAGE_SIZE), 255)
-    canvas.paste(
-        fitted,
-        ((IMAGE_SIZE - fitted.width) // 2, (IMAGE_SIZE - fitted.height) // 2),
-    )
-    return canvas.convert("RGB")
-
-
-def _format_value(value: Any) -> str:
-    if isinstance(value, bool):
-        return "true" if value else "false"
-    if isinstance(value, int):
-        return str(value)
-    if isinstance(value, float):
-        return f"{value:.5g}"
-    if isinstance(value, list):
-        return "[" + ", ".join(_format_value(item) for item in value) + "]"
-    return str(value)
-
-
-def _delta(row: Mapping[str, Any]) -> dict[str, Any]:
-    return _json_object(
-        row["parameter_delta_json"],
-        field="parameter_delta_json",
-        row_id=str(row["id"]),
-    )
-
-
-def _change_lines(
-    states: Mapping[int, Mapping[str, Any]],
-    slot: int,
-) -> list[str]:
-    if slot == 0:
-        baseline: dict[str, Any] = {}
-        for descendant_slot in range(1, 8):
-            changes = _delta(states[descendant_slot]).get("changes", {})
-            if not isinstance(changes, dict):
-                raise ValueError(
-                    f"{states[descendant_slot]['id']}: changes is not an object"
-                )
-            for name, values in changes.items():
-                if not isinstance(values, dict) or "before" not in values:
-                    raise ValueError(
-                        f"{states[descendant_slot]['id']}: malformed change"
-                    )
-                baseline[str(name)] = values["before"]
-        return [
-            f"{name}: {_format_value(value)}"
-            for name, value in sorted(baseline.items())
-        ]
-
-    changes = _delta(states[slot]).get("changes", {})
-    if not isinstance(changes, dict) or not changes:
-        raise ValueError(f"{states[slot]['id']}: descendant has no changes")
-    lines: list[str] = []
-    for name, values in sorted(changes.items()):
-        if not isinstance(values, dict) or not {"before", "after"} <= set(values):
-            raise ValueError(f"{states[slot]['id']}: malformed parameter change")
-        lines.append(
-            f"{name}: {_format_value(values['before'])} → "
-            f"{_format_value(values['after'])}"
-        )
-    return lines
-
-
-def _signal(row: Mapping[str, Any]) -> float | None:
-    evidence = _json_object(
-        row["verification_evidence_json"],
-        field="verification_evidence_json",
-        row_id=str(row["id"]),
-    )
-    model_signal = evidence.get("model_input_signal")
-    if isinstance(model_signal, dict):
-        value = model_signal.get("normalized_changed_fraction")
-        if value is not None:
-            return float(value)
-    mask_delta = evidence.get("mask_delta")
-    if isinstance(mask_delta, dict) and mask_delta.get("changed_fraction") is not None:
-        return float(mask_delta["changed_fraction"])
-    return None
-
-
-def _fallback_used(row: Mapping[str, Any]) -> bool:
-    delta = _delta(row)
-    return any(
-        bool(delta.get(name))
-        for name in ("contract_fallback", "runtime_fallback", "fallback_schedule")
-    )
-
-
-def _range_examples(
-    complete: Mapping[str, Mapping[int, Mapping[str, Any]]],
-) -> dict[str, dict[str, Any]]:
-    signal_records: list[tuple[float, str, int]] = []
-    fallback_records: list[tuple[int, str]] = []
-    for grammar_id, states in complete.items():
-        fallback_count = 0
-        for slot in range(1, 8):
-            value = _signal(states[slot])
-            if value is not None and value > 0.0:
-                signal_records.append((value, grammar_id, slot))
-            fallback_count += int(_fallback_used(states[slot]))
-        if fallback_count:
-            fallback_records.append((fallback_count, grammar_id))
-    if not signal_records:
-        raise ValueError("no descendant contains a visual-difference witness")
-
-    smallest = min(signal_records, key=lambda item: (item[0], item[1], item[2]))
-    largest = max(signal_records, key=lambda item: (item[0], item[1], item[2]))
-    result = {
-        "smallest_visible_change": {
-            "grammar_id": smallest[1],
-            "realization_id": f"r{smallest[2]:02d}",
-            "changed_fraction": smallest[0],
-        },
-        "largest_visible_change": {
-            "grammar_id": largest[1],
-            "realization_id": f"r{largest[2]:02d}",
-            "changed_fraction": largest[0],
-        },
-    }
-    if fallback_records:
-        count, grammar_id = min(
-            fallback_records,
-            key=lambda item: (-item[0], item[1]),
-        )
-        result["fallback_example"] = {
-            "grammar_id": grammar_id,
-            "fallback_realization_count": count,
-        }
-    return result
-
-
-def _sheet_for(
-    states: Mapping[int, Mapping[str, Any]],
-) -> str:
-    anchor = states[0]
-    level = str(anchor["level"])
-    if level == "L0":
-        return "01-primitives"
-    if level in {"L1", "L2"}:
-        return "02-operations-compositions"
-    if level == "L3":
-        return "03-networks-repeated-media"
-    family = str(anchor["family"]).lower()
-    structured_terms = (
-        "bragg",
-        "cavities",
-        "edge",
-        "grating",
-        "mode material",
-        "periodic",
-        "star",
-    )
-    if any(term in family for term in structured_terms):
-        return "05-structured-photonics"
-    return "04-photonic-devices"
-
-
-def _selection(
-    complete: Mapping[str, Mapping[int, Mapping[str, Any]]],
-    range_examples: Mapping[str, Mapping[str, Any]],
-) -> tuple[dict[str, list[Pick]], dict[str, tuple[str, ...]]]:
-    selected = {
-        sheet.slug: list(sheet.picks)
-        for sheet in SHEETS
-    }
-    for sheet in SHEETS:
-        missing = [
-            pick.grammar_id
-            for pick in sheet.picks
-            if pick.grammar_id not in complete
-        ]
-        if missing:
-            raise ValueError(
-                f"{sheet.slug}: curated complete sweeps are missing: {missing}"
-            )
-
-    highlights: dict[str, list[str]] = defaultdict(list)
-    labels = {
-        "smallest_visible_change": "smallest visible change",
-        "largest_visible_change": "largest visible change",
-        "fallback_example": "fallback path example",
-    }
-    all_selected = {
-        pick.grammar_id
-        for picks in selected.values()
-        for pick in picks
-    }
-    for kind, record in range_examples.items():
-        grammar_id = str(record["grammar_id"])
-        highlights[grammar_id].append(labels[kind])
-        if grammar_id in all_selected:
-            continue
-        slug = _sheet_for(complete[grammar_id])
-        selected[slug].append(
-            Pick(grammar_id, f"automatically included: {labels[kind]}")
-        )
-        all_selected.add(grammar_id)
-    return selected, {
-        grammar_id: tuple(values)
-        for grammar_id, values in sorted(highlights.items())
-    }
-
-
-def _fit_font(
-    draw: ImageDraw.ImageDraw,
-    lines: Sequence[str],
-    *,
-    maximum: int,
-    minimum: int,
-    width: int,
-) -> ImageFont.ImageFont:
-    for size in range(maximum, minimum - 1, -1):
-        font = _font(size)
-        if all(
-            draw.textbbox((0, 0), line, font=font)[2] <= width
-            for line in lines
-        ):
-            return font
-    return _font(minimum)
-
-
-def _wrapped(text: str, width: int) -> list[str]:
-    return textwrap.wrap(
-        text,
-        width=width,
-        break_long_words=False,
-        break_on_hyphens=False,
-    ) or [""]
-
-
-def _draw_sheet(
-    spec: SheetSpec,
-    picks: Sequence[Pick],
-    complete: Mapping[str, Mapping[int, Mapping[str, Any]]],
-    highlights: Mapping[str, Sequence[str]],
-) -> Image.Image:
-    width = LEFT_WIDTH + len(STATE_SLOTS) * CELL_WIDTH
-    height = HEADER_HEIGHT + len(picks) * ROW_HEIGHT
-    canvas = Image.new("RGB", (width, height), "white")
-    draw = ImageDraw.Draw(canvas)
-    draw.text((16, 10), spec.title, fill="black", font=_font(21, bold=True))
-    draw.text((16, 39), spec.summary, fill=(70, 70, 70), font=_font(11))
-    draw.text(
-        (16, 62),
-        "Columns are the exact Parquet model images; labels show actual parameter values.",
-        fill=(70, 70, 70),
-        font=_font(10),
-    )
-
-    first_states = complete[picks[0].grammar_id]
-    for column, slot in enumerate(STATE_SLOTS):
-        row = first_states[slot]
-        role = "anchor" if slot == 0 else str(row["transform_kind"]).replace("_", " ")
-        x0 = LEFT_WIDTH + column * CELL_WIDTH
-        draw.text(
-            (x0 + 8, 13),
-            f"r{slot:02d}",
-            fill=(20, 20, 20),
-            font=_font(12, bold=True),
-        )
-        for line_index, line in enumerate(_wrapped(role, 22)[:2]):
-            draw.text(
-                (x0 + 8, 34 + line_index * 12),
-                line,
-                fill=(90, 90, 90),
-                font=_font(9),
-            )
-
-    for row_index, pick in enumerate(picks):
-        states = complete[pick.grammar_id]
-        anchor = states[0]
-        y0 = HEADER_HEIGHT + row_index * ROW_HEIGHT
-        left_fill = (246, 248, 250) if row_index % 2 == 0 else (252, 252, 252)
-        draw.rectangle(
-            (0, y0, LEFT_WIDTH - 1, y0 + ROW_HEIGHT - 1),
-            fill=left_fill,
-        )
-        label_lines = _wrapped(str(anchor["label"]), 39)[:3]
-        y_text = y0 + 10
-        for line in label_lines:
-            draw.text(
-                (12, y_text),
-                line,
-                fill=(20, 20, 20),
-                font=_font(11, bold=True),
-            )
-            y_text += 15
-        draw.text(
-            (12, y_text + 3),
-            f"{anchor['level']} · {anchor['family']}",
-            fill=(70, 70, 70),
-            font=_font(9),
-        )
-        y_text += 20
-        for line in _wrapped(pick.rationale, 45)[:2]:
-            draw.text(
-                (12, y_text + 3),
-                line,
-                fill=(65, 65, 65),
-                font=_font(9),
-            )
-            y_text += 13
-        if pick.grammar_id in highlights:
-            y_text += 3
-            for value in highlights[pick.grammar_id]:
-                draw.rounded_rectangle(
-                    (10, y_text, LEFT_WIDTH - 12, y_text + 18),
-                    radius=5,
-                    fill=(229, 238, 247),
-                )
-                draw.text(
-                    (16, y_text + 3),
-                    value,
-                    fill=(31, 72, 105),
-                    font=_font(9, bold=True),
-                )
-                y_text += 22
-        draw.text(
-            (12, y0 + ROW_HEIGHT - 21),
-            pick.grammar_id,
-            fill=(100, 100, 100),
-            font=_font(8),
-        )
-
-        for column, slot in enumerate(STATE_SLOTS):
-            row = states[slot]
-            x0 = LEFT_WIDTH + column * CELL_WIDTH
-            if slot == 0:
-                draw.rectangle(
-                    (x0, y0, x0 + CELL_WIDTH - 1, y0 + ROW_HEIGHT - 1),
-                    fill=(248, 248, 248),
-                )
-            thumb = _thumbnail(row)
-            canvas.paste(
-                thumb,
-                (x0 + (CELL_WIDTH - IMAGE_SIZE) // 2, y0 + 6),
-            )
-            lines = _change_lines(states, slot)
-            font = _fit_font(
-                draw,
-                lines,
-                maximum=8,
-                minimum=6,
-                width=CELL_WIDTH - 10,
-            )
-            line_height = max(9, font.size + 2) if hasattr(font, "size") else 10
-            text_height = line_height * len(lines)
-            available = ROW_HEIGHT - IMAGE_SIZE - 16
-            if text_height > available:
-                raise ValueError(
-                    f"{row['id']}: parameter labels do not fit the review cell"
-                )
-            y_label = y0 + IMAGE_SIZE + 12
-            for line in lines:
-                draw.text(
-                    (x0 + 5, y_label),
-                    line,
-                    fill=(25, 25, 25),
-                    font=font,
-                )
-                y_label += line_height
-            draw.rectangle(
-                (x0, y0, x0 + CELL_WIDTH - 1, y0 + ROW_HEIGHT - 1),
-                outline=(214, 218, 222),
-                width=1,
-            )
-        draw.line(
-            (0, y0 + ROW_HEIGHT - 1, width, y0 + ROW_HEIGHT - 1),
-            fill=(205, 210, 215),
-            width=1,
-        )
-    return canvas
-
-
-def _sha256_file(path: Path) -> str:
-    digest = hashlib.sha256()
-    with path.open("rb") as handle:
-        for chunk in iter(lambda: handle.read(1024 * 1024), b""):
-            digest.update(chunk)
-    return digest.hexdigest()
-
-
-def _review_markdown(manifest: Mapping[str, Any]) -> str:
-    lines = [
-        "# PixCell depth-v1 visual review",
-        "",
-        (
-            "This pack is generated directly from the depth-v1 Parquet shards. "
-            "Every row is one approved representation; r00 is its core anchor "
-            "and r01–r07 are controlled geometry realizations. The thumbnails "
-            "are the exact images supplied to a model."
-        ),
-        "",
-        (
-            "Cell labels are read from `parameter_delta_json`: r00 lists the "
-            "anchor values used by the sweep, while each descendant lists every "
-            "actual `before → after` parameter change."
-        ),
-        "",
-        "## Sheets",
-        "",
-        "| Sheet | Scope | Representations |",
-        "|---|---|---:|",
-    ]
-    for sheet in manifest["sheets"]:
-        lines.append(
-            f"| [{sheet['title']}]({sheet['path']}) | "
-            f"{sheet['summary']} | {len(sheet['representations'])} |"
-        )
-
-    lines.extend(
-        [
-            "",
-            "## Range checks",
-            "",
-        ]
-    )
-    for label, record in manifest["range_examples"].items():
-        readable = label.replace("_", " ")
-        details = ", ".join(
-            f"{key.replace('_', ' ')}={value}"
-            for key, value in record.items()
-            if key != "grammar_id"
-        )
-        lines.append(f"- **{readable}:** `{record['grammar_id']}` ({details})")
-
-    lines.extend(
-        [
-            "",
-            "## Selection rationale",
-            "",
-        ]
-    )
-    for sheet in manifest["sheets"]:
-        lines.extend([f"### {sheet['title']}", ""])
-        for record in sheet["representations"]:
-            lines.append(
-                f"- `{record['grammar_id']}` — {record['rationale']} "
-                f"({', '.join(record['controlled_parameters'])})"
-            )
-        lines.append("")
-
-    anchor_only = manifest["anchor_only_representation_ids"]
-    if anchor_only:
-        lines.extend(
-            [
-                "## Anchor-only representations",
-                "",
-                (
-                    "These approved anchors expose no model-observable parameter "
-                    "axis and therefore do not appear as padded sweeps:"
-                ),
-                "",
-            ]
-        )
-        lines.extend(f"- `{grammar_id}`" for grammar_id in anchor_only)
-        lines.append("")
-    return "\n".join(lines).rstrip() + "\n"
-
-
-def _validate_output_path(root: Path, output: Path) -> None:
-    """Keep destructive review output completely outside the PixCell worktree."""
-
-    worktree = root.parents[1]
-    if (
-        output == worktree
-        or output in worktree.parents
-        or worktree in output.parents
-    ):
-        raise ValueError(
-            "review output must be outside the PixCell worktree"
-        )
-
-
-def render_review_pack(root: Path, output: Path) -> dict[str, Any]:
-    """Render the review-only approval pack and return its manifest."""
-
-    root = root.expanduser().resolve()
-    output = output.expanduser().resolve()
-    _validate_output_path(root, output)
-    rows, shard_paths = _load_rows(root)
-    complete, anchor_only = _group_sweeps(rows)
-    range_examples = _range_examples(complete)
-    selections, highlights = _selection(complete, range_examples)
-
-    output.parent.mkdir(parents=True, exist_ok=True)
-    temporary = Path(
-        tempfile.mkdtemp(prefix=f".{output.name}-", dir=output.parent)
-    )
-    try:
-        sheet_records: list[dict[str, Any]] = []
-        for spec in SHEETS:
-            picks = selections[spec.slug]
-            image = _draw_sheet(spec, picks, complete, highlights)
-            filename = f"{spec.slug}.png"
-            path = temporary / filename
-            image.save(
-                path,
-                format="PNG",
-                optimize=False,
-                compress_level=PNG_COMPRESSION,
-            )
-            representations = []
-            for pick in picks:
-                states = complete[pick.grammar_id]
-                controlled = sorted(
-                    {
-                        name
-                        for slot in range(1, 8)
-                        for name in _delta(states[slot]).get("changes", {})
-                    }
-                )
-                representations.append(
-                    {
-                        "grammar_id": pick.grammar_id,
-                        "label": str(states[0]["label"]),
-                        "level": str(states[0]["level"]),
-                        "family": str(states[0]["family"]),
-                        "rationale": pick.rationale,
-                        "controlled_parameters": controlled,
-                        "highlights": list(highlights.get(pick.grammar_id, ())),
-                    }
-                )
-            sheet_records.append(
-                {
-                    "path": filename,
-                    "sha256": _sha256_file(path),
-                    "title": spec.title,
-                    "summary": spec.summary,
-                    "representations": representations,
-                }
-            )
-
-        shard_records = [
-            {
-                "path": path.relative_to(root).as_posix(),
-                "sha256": _sha256_file(path),
-            }
-            for path in shard_paths
-        ]
-        manifest: dict[str, Any] = {
-            "schema_version": "pixcell-depth-review-pack-v1",
-            "source_parquet_shards": shard_records,
-            "state_slots": [f"r{slot:02d}" for slot in STATE_SLOTS],
-            "complete_sweep_count": len(complete),
-            "anchor_only_representation_ids": list(anchor_only),
-            "range_examples": range_examples,
-            "sheets": sheet_records,
-        }
-        (temporary / "manifest.json").write_text(
-            json.dumps(
-                manifest,
-                indent=2,
-                sort_keys=True,
-                ensure_ascii=True,
-                allow_nan=False,
-            )
-            + "\n",
-            encoding="utf-8",
-        )
-        (temporary / "REVIEW.md").write_text(
-            _review_markdown(manifest),
-            encoding="utf-8",
-        )
-        if output.exists():
-            shutil.rmtree(output)
-        temporary.replace(output)
-    except BaseException:
-        shutil.rmtree(temporary, ignore_errors=True)
-        raise
-    return manifest
-
-
-def main() -> None:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument(
-        "--root",
-        type=Path,
-        default=Path(__file__).resolve().parents[1],
-        help="depth-v1 release root",
-    )
-    parser.add_argument(
-        "--output",
-        type=Path,
-        required=True,
-        help="review-only output directory outside the depth-v1 release root",
-    )
-    args = parser.parse_args()
-    manifest = render_review_pack(args.root, args.output)
-    print(
-        json.dumps(
-            {
-                "output": str(args.output.expanduser().resolve()),
-                "sheet_count": len(manifest["sheets"]),
-                "selected_representation_count": sum(
-                    len(sheet["representations"])
-                    for sheet in manifest["sheets"]
-                ),
-            },
-            indent=2,
-            sort_keys=True,
-        )
-    )
-
-
-if __name__ == "__main__":
-    main()
diff --git a/depth-v1/scripts/runtime.py b/depth-v1/scripts/runtime.py
deleted file mode 100644
index f3438c8dbde9f4456aaa86ec065d5521047f3efc..0000000000000000000000000000000000000000
--- a/depth-v1/scripts/runtime.py
+++ /dev/null
@@ -1,1485 +0,0 @@
-"""Deterministic execution and raster gates for PixCell depth-v1.
-
-This module intentionally lives below ``dataset/depth-v1``.  It does not
-modify or participate in the frozen core-v1 build.  Its inputs are programs
-that have already passed the PixCell source/purity gate; the additional source
-checks here make the runtime boundary narrow, but are not a replacement for
-that gate.
-
-The public entry points are:
-
-``execute_program``
-    Execute a program in a short-lived subprocess and return flattened
-    polygons, ports, a bounding box, and structural witnesses.
-``render_geometry``
-    Produce either a square maximum-visibility view or an isotropically scaled
-    physical-aspect view as deterministic black-on-white PNG bytes.
-``compare_geometry_masks``
-    Rasterize two executions into one shared coordinate frame and compute IoU
-    and symmetric mask delta.  A shared frame is load-bearing: independently
-    fitted images would hide footprint changes.
-``gate_ports``
-    Check terminal count, orientation/edge-side signature, unique names, and
-    material immediately inside every declared terminal.
-
-The subprocess is a containment boundary for accidental hangs and module-level
-state.  It is not a general untrusted-code sandbox.  Callers must run the
-strict PixCell source/purity gate before this module.
-"""
-
-from __future__ import annotations
-
-import argparse
-import ast
-import io
-import json
-import math
-import os
-import subprocess
-import sys
-import tempfile
-from collections import Counter
-from dataclasses import dataclass
-from pathlib import Path
-from typing import Any, Iterable, Mapping, Sequence
-
-import numpy as np
-from PIL import Image, ImageChops, ImageDraw
-from shapely import make_valid
-from shapely.geometry import (
-    GeometryCollection,
-    LineString,
-    MultiLineString,
-    MultiPolygon,
-    Polygon,
-)
-from shapely.ops import unary_union
-
-
-ALLOWED_IMPORTS = frozenset(
-    {"gdsfactory", "json", "math", "numpy", "pathlib"}
-)
-FORBIDDEN_CALL_NAMES = frozenset(
-    {
-        "__import__",
-        "breakpoint",
-        "compile",
-        "eval",
-        "exec",
-        "input",
-        "open",
-    }
-)
-FORBIDDEN_ATTRIBUTE_ROOTS = frozenset(
-    {
-        "asyncio",
-        "builtins",
-        "http",
-        "os",
-        "requests",
-        "shutil",
-        "socket",
-        "subprocess",
-        "sys",
-        "urllib",
-    }
-)
-CARDINAL_ANGLES = (0.0, 90.0, 180.0, 270.0)
-DEFAULT_TIMEOUT_SECONDS = 60.0
-MAX_STDERR_CHARS = 4_000
-COORDINATE_DECIMALS = 6
-# The pinned 1 nm database grid makes this 10 square DBU. Core-v1 has a
-# >31,000x area gap between sub-resolution polygonization debris and its
-# smallest intentional material hole.
-MIN_VISIBLE_HOLE_AREA_UM2 = 1e-5
-
-
-class RuntimeGateError(RuntimeError):
-    """Raised when execution or a deterministic gate fails."""
-
-
-@dataclass(frozen=True)
-class RenderedPNG:
-    """A raster plus the world-to-pixel transform used to create it."""
-
-    png_bytes: bytes
-    mode: str
-    canvas_px: tuple[int, int]
-    world_bounds_um: tuple[float, float, float, float]
-    scale_px_per_um: tuple[float, float]
-    margin_px: int
-
-
-@dataclass(frozen=True)
-class MaskDelta:
-    """Pixel comparison in a shared coordinate frame."""
-
-    iou: float
-    changed_fraction: float
-    xor_pixels: int
-    union_pixels: int
-    reference_pixels: int
-    candidate_pixels: int
-
-
-@dataclass(frozen=True)
-class PortWitness:
-    """Observed relationship between one port and the rendered material."""
-
-    name: str
-    side: str
-    bbox_side: str | None
-    orientation_deg: float
-    width_um: float
-    inward_material_fraction: float
-    outward_material_fraction: float
-    touches_material: bool
-
-
-@dataclass(frozen=True)
-class PortGateReport:
-    """Deterministic port gate result."""
-
-    passed: bool
-    errors: tuple[str, ...]
-    port_count: int
-    orientation_side_histogram: dict[str, int]
-    witnesses: tuple[PortWitness, ...]
-
-
-@dataclass(frozen=True)
-class CandidateGateReport:
-    """Combined representation-preservation witnesses for one realization."""
-
-    passed: bool
-    errors: tuple[str, ...]
-    port_gate: PortGateReport
-    structural_deltas: dict[str, tuple[Any, Any]]
-    mask_delta: MaskDelta
-
-
-def _round_float(value: float) -> float:
-    rounded = round(float(value), COORDINATE_DECIMALS)
-    return 0.0 if rounded == -0.0 else rounded
-
-
-def _dotted_name(node: ast.AST) -> str | None:
-    if isinstance(node, ast.Name):
-        return node.id
-    if isinstance(node, ast.Attribute):
-        base = _dotted_name(node.value)
-        return f"{base}.{node.attr}" if base else None
-    return None
-
-
-def _is_main_guard(node: ast.If) -> bool:
-    test = node.test
-    if not isinstance(test, ast.Compare) or len(test.ops) != 1:
-        return False
-    if not isinstance(test.ops[0], ast.Eq) or len(test.comparators) != 1:
-        return False
-    pairs = ((test.left, test.comparators[0]), (test.comparators[0], test.left))
-    return any(
-        isinstance(left, ast.Name)
-        and left.id == "__name__"
-        and isinstance(right, ast.Constant)
-        and right.value == "__main__"
-        for left, right in pairs
-    )
-
-
-def sanitize_source(source: str) -> str:
-    """Return an executable module with its standalone writer removed.
-
-    Depth-v1 consumes programs that have already passed the strict public
-    source/purity gate.  This second check deliberately admits only the module
-    shape used by the frozen core: imports, literal parameters, function/class
-    definitions, and an optional ``if __name__ == "__main__"`` writer.
-    """
-
-    try:
-        tree = ast.parse(source, filename="<pixcell-depth-source>")
-    except SyntaxError as exc:
-        raise RuntimeGateError(f"source does not compile: {exc}") from exc
-
-    retained: list[ast.stmt] = []
-    for node in tree.body:
-        if isinstance(node, ast.If) and _is_main_guard(node):
-            continue
-        if not isinstance(
-            node,
-            (ast.Import, ast.ImportFrom, ast.Assign, ast.AnnAssign, ast.FunctionDef,
-             ast.AsyncFunctionDef, ast.ClassDef),
-        ):
-            raise RuntimeGateError(
-                "unsupported executable top-level statement: "
-                f"{type(node).__name__}"
-            )
-        if isinstance(node, (ast.Assign, ast.AnnAssign)):
-            try:
-                ast.literal_eval(node.value)
-            except (TypeError, ValueError) as exc:
-                raise RuntimeGateError(
-                    "top-level parameters must be literal assignments"
-                ) from exc
-        retained.append(node)
-    tree.body = retained
-    ast.fix_missing_locations(tree)
-
-    for node in ast.walk(tree):
-        modules: list[str] = []
-        if isinstance(node, ast.Import):
-            modules.extend(alias.name for alias in node.names)
-        elif isinstance(node, ast.ImportFrom):
-            if node.level:
-                raise RuntimeGateError("relative imports are not allowed")
-            modules.append(node.module or "")
-        for module in modules:
-            root = module.split(".", 1)[0]
-            if root not in ALLOWED_IMPORTS:
-                raise RuntimeGateError(f"runtime import is not allowed: {module}")
-        if not isinstance(node, ast.Call):
-            continue
-        dotted = _dotted_name(node.func)
-        if isinstance(node.func, ast.Name) and node.func.id in FORBIDDEN_CALL_NAMES:
-            raise RuntimeGateError(f"runtime call is not allowed: {node.func.id}")
-        if dotted and dotted.split(".", 1)[0] in FORBIDDEN_ATTRIBUTE_ROOTS:
-            raise RuntimeGateError(f"runtime call is not allowed: {dotted}")
-
-    device_functions = [
-        node
-        for node in tree.body
-        if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef))
-        and node.name == "device"
-    ]
-    if len(device_functions) != 1 or isinstance(
-        device_functions[0], ast.AsyncFunctionDef
-    ):
-        raise RuntimeGateError("source must define exactly one synchronous device()")
-    return ast.unparse(tree) + "\n"
-
-
-def source_structural_metrics(source: str) -> dict[str, Any]:
-    """Extract stable AST witnesses without assigning semantic meaning."""
-
-    tree = ast.parse(source)
-    primitive_calls: Counter[str] = Counter()
-    reference_operations: Counter[str] = Counter()
-    loop_count = 0
-    conditional_count = 0
-    for node in ast.walk(tree):
-        if isinstance(node, (ast.For, ast.While)):
-            loop_count += 1
-        elif isinstance(node, ast.If):
-            conditional_count += 1
-        elif isinstance(node, ast.BinOp) and isinstance(node.op, ast.LShift):
-            reference_operations["lshift"] += 1
-        if not isinstance(node, ast.Call):
-            continue
-        dotted = _dotted_name(node.func)
-        if not dotted:
-            continue
-        if ".components." in dotted:
-            primitive_calls[dotted.rsplit(".", 1)[-1]] += 1
-        elif ".path." in dotted:
-            primitive_calls[f"path.{dotted.rsplit('.', 1)[-1]}"] += 1
-        elif dotted.endswith(".extrude_transition"):
-            primitive_calls["extrude_transition"] += 1
-        elif dotted.endswith(".extrude"):
-            primitive_calls["extrude"] += 1
-        elif dotted.endswith(".boolean"):
-            primitive_calls["boolean"] += 1
-        leaf = dotted.rsplit(".", 1)[-1]
-        if leaf in {"add", "add_ref", "add_refs", "create_inst"}:
-            reference_operations[leaf] += 1
-    return {
-        "conditional_count": conditional_count,
-        "loop_count": loop_count,
-        "primitive_call_count": sum(primitive_calls.values()),
-        "primitive_call_histogram": dict(sorted(primitive_calls.items())),
-        "reference_operation_count": sum(reference_operations.values()),
-        "reference_operation_histogram": dict(
-            sorted(reference_operations.items())
-        ),
-    }
-
-
-def _polygon_points(polygon: Any, dbu: float) -> dict[str, Any]:
-    converted = polygon.to_dtype(dbu)
-    exterior = [
-        [_round_float(point.x), _round_float(point.y)]
-        for point in converted.each_point_hull()
-    ]
-    holes = [
-        [
-            [_round_float(point.x), _round_float(point.y)]
-            for point in converted.each_point_hole(index)
-        ]
-        for index in range(converted.holes())
-    ]
-    if len(exterior) < 3:
-        raise RuntimeGateError("execution emitted a degenerate polygon")
-    return {"exterior": exterior, "holes": holes}
-
-
-def _runtime_record(source: str) -> dict[str, Any]:
-    """Execute sanitized source inside the worker process."""
-
-    import gdsfactory as gf
-
-    namespace: dict[str, Any] = {
-        "__builtins__": __builtins__,
-        "__file__": "<pixcell-depth-program>",
-        "__name__": "pixcell_depth_program",
-        "__package__": None,
-    }
-    gf.clear_cache()
-    compiled = compile(source, "<pixcell-depth-program>", "exec")
-    exec(compiled, namespace, namespace)
-    device = namespace.get("device")
-    if not callable(device):
-        raise RuntimeGateError("program did not define callable device()")
-    component = device()
-
-    dbu = float(component.kcl.dbu)
-    polygons: list[dict[str, Any]] = []
-    raw_polygons = component.get_polygons(by="tuple")
-    for layer, layer_polygons in sorted(raw_polygons.items()):
-        for polygon in layer_polygons:
-            record = _polygon_points(polygon, dbu)
-            record["layer"] = [int(layer[0]), int(layer[1])]
-            polygons.append(record)
-    if not polygons:
-        raise RuntimeGateError("execution emitted no material polygons")
-
-    ports = [
-        {
-            "center": [_round_float(value) for value in port.dcenter],
-            "name": str(port.name),
-            "orientation": _round_float(float(port.orientation) % 360.0),
-            "port_type": str(port.port_type),
-            "width": _round_float(port.dwidth),
-        }
-        for port in component.ports
-    ]
-    geometry = _geometry_from_polygons(polygons)
-    min_x, min_y, max_x, max_y = map(float, geometry.bounds)
-    bbox = np.asarray([[min_x, min_y], [max_x, max_y]], dtype=float)
-    if bbox.shape != (2, 2) or not np.isfinite(bbox).all():
-        raise RuntimeGateError(f"unexpected material bbox: {bbox!r}")
-    span = bbox[1] - bbox[0]
-    if np.any(span <= 0):
-        raise RuntimeGateError(f"non-positive material span: {span!r}")
-    geometry_metrics = _geometry_metrics(geometry, polygons)
-    instance_count = len(component.insts)
-    runtime_bbox = (
-        float(bbox[0][0]),
-        float(bbox[0][1]),
-        float(bbox[1][0]),
-        float(bbox[1][1]),
-    )
-    return {
-        "bbox_span_um": [_round_float(value) for value in span],
-        "bbox_um": [
-            [_round_float(value) for value in bbox[0]],
-            [_round_float(value) for value in bbox[1]],
-        ],
-        "edge_material_intervals": _edge_intervals_for_geometry(
-            geometry,
-            runtime_bbox,
-        ),
-        "polygons": polygons,
-        "ports": ports,
-        "structural_metrics": {
-            **source_structural_metrics(source),
-            **geometry_metrics,
-            "instance_count": int(instance_count),
-            "port_count": len(ports),
-        },
-    }
-
-
-def _worker(source_path: Path, result_path: Path) -> None:
-    source = source_path.read_text(encoding="utf-8")
-    record = _runtime_record(source)
-    result_path.write_text(
-        json.dumps(
-            record,
-            sort_keys=True,
-            separators=(",", ":"),
-            allow_nan=False,
-        ),
-        encoding="utf-8",
-    )
-
-
-def _limited_process() -> None:
-    """Apply portable-enough limits in the child immediately before exec."""
-
-    try:
-        import resource
-
-        resource.setrlimit(resource.RLIMIT_NOFILE, (64, 64))
-        resource.setrlimit(
-            resource.RLIMIT_FSIZE,
-            (256 * 1024 * 1024, 256 * 1024 * 1024),
-        )
-    except (ImportError, OSError, ValueError):
-        # Timeout and temporary-directory containment still apply on platforms
-        # that do not expose these POSIX limits.
-        pass
-
-
-def _clean_environment(workspace: Path) -> dict[str, str]:
-    environment = {
-        "HOME": str(workspace / "home"),
-        "LANG": "C.UTF-8",
-        "LC_ALL": "C.UTF-8",
-        "MPLCONFIGDIR": str(workspace / "mpl"),
-        "OMP_NUM_THREADS": "1",
-        "OPENBLAS_NUM_THREADS": "1",
-        "PYTHONHASHSEED": "0",
-        "XDG_CACHE_HOME": str(workspace / "cache"),
-    }
-    for name in ("PATH", "DYLD_LIBRARY_PATH", "LD_LIBRARY_PATH", "PYTHONPATH"):
-        if value := os.environ.get(name):
-            environment[name] = value
-    return environment
-
-
-def execute_program(
-    source: str,
-    *,
-    timeout_seconds: float = DEFAULT_TIMEOUT_SECONDS,
-    isolation: str = "subprocess",
-) -> dict[str, Any]:
-    """Execute one accepted PixCell program.
-
-    ``isolation="subprocess"`` is the safe default for one-off validation and
-    enforces a wall-clock timeout.  ``isolation="in_process"`` avoids repeated
-    GDSFactory interpreter startup during a trusted bulk build; callers should
-    use it only after the strict purity gate, ideally inside their own
-    long-lived process-pool workers.  An in-process call cannot enforce the
-    timeout argument.
-    """
-
-    if not math.isfinite(timeout_seconds) or timeout_seconds <= 0:
-        raise ValueError("timeout_seconds must be finite and positive")
-    sanitized = sanitize_source(source)
-    if isolation == "in_process":
-        result = _runtime_record(sanitized)
-        _validate_runtime_record(result)
-        return result
-    if isolation != "subprocess":
-        raise ValueError("isolation must be 'subprocess' or 'in_process'")
-    runtime_path = Path(__file__).resolve()
-    with tempfile.TemporaryDirectory(prefix="pixcell-depth-runtime-") as raw:
-        workspace = Path(raw)
-        for directory in ("cache", "home", "mpl"):
-            (workspace / directory).mkdir()
-        source_path = workspace / "program.py"
-        result_path = workspace / "result.json"
-        source_path.write_text(sanitized, encoding="utf-8")
-        command = [
-            sys.executable,
-            str(runtime_path),
-            "--worker",
-            str(source_path),
-            str(result_path),
-        ]
-        try:
-            completed = subprocess.run(
-                command,
-                cwd=workspace,
-                env=_clean_environment(workspace),
-                capture_output=True,
-                text=True,
-                timeout=timeout_seconds,
-                check=False,
-                start_new_session=True,
-                preexec_fn=_limited_process if os.name == "posix" else None,
-            )
-        except subprocess.TimeoutExpired as exc:
-            raise RuntimeGateError(
-                f"program execution exceeded {timeout_seconds:g}s"
-            ) from exc
-        if completed.returncode != 0:
-            detail = (completed.stderr or completed.stdout)[-MAX_STDERR_CHARS:]
-            raise RuntimeGateError(
-                f"program execution failed ({completed.returncode}): {detail}"
-            )
-        if not result_path.is_file():
-            raise RuntimeGateError("program execution omitted its runtime record")
-        try:
-            result = json.loads(result_path.read_text(encoding="utf-8"))
-        except (OSError, json.JSONDecodeError) as exc:
-            raise RuntimeGateError("program emitted a malformed runtime record") from exc
-    _validate_runtime_record(result)
-    return result
-
-
-def _validate_runtime_record(result: Mapping[str, Any]) -> None:
-    bbox = result.get("bbox_um")
-    if (
-        not isinstance(bbox, list)
-        or len(bbox) != 2
-        or any(not isinstance(point, list) or len(point) != 2 for point in bbox)
-    ):
-        raise RuntimeGateError("runtime record has no valid bbox")
-    values = [float(value) for point in bbox for value in point]
-    if not all(math.isfinite(value) for value in values):
-        raise RuntimeGateError("runtime bbox contains non-finite values")
-    if values[0] >= values[2] or values[1] >= values[3]:
-        raise RuntimeGateError("runtime bbox has non-positive extent")
-    polygons = result.get("polygons")
-    if not isinstance(polygons, list) or not polygons:
-        raise RuntimeGateError("runtime record has no polygons")
-    ports = result.get("ports")
-    if not isinstance(ports, list):
-        raise RuntimeGateError("runtime record has no port list")
-    metrics = result.get("structural_metrics")
-    if not isinstance(metrics, dict) or metrics.get("polygon_count") != len(polygons):
-        raise RuntimeGateError("runtime structural metrics disagree with polygons")
-    geometry = _geometry_from_polygons(polygons)
-    expected_bounds = tuple(_round_float(value) for value in geometry.bounds)
-    if any(
-        not math.isclose(observed, expected, rel_tol=0.0, abs_tol=1e-6)
-        for observed, expected in zip(values, expected_bounds, strict=True)
-    ):
-        raise RuntimeGateError("runtime bbox differs from material polygon bounds")
-    span = result.get("bbox_span_um")
-    expected_span = (
-        _round_float(expected_bounds[2] - expected_bounds[0]),
-        _round_float(expected_bounds[3] - expected_bounds[1]),
-    )
-    if (
-        not isinstance(span, list)
-        or len(span) != 2
-        or any(
-            not math.isclose(
-                float(observed),
-                expected,
-                rel_tol=0.0,
-                abs_tol=1e-6,
-            )
-            for observed, expected in zip(span, expected_span, strict=True)
-        )
-    ):
-        raise RuntimeGateError("runtime span differs from material polygon bounds")
-    expected_metrics = _geometry_metrics(geometry, polygons)
-    for key, expected in expected_metrics.items():
-        if metrics.get(key) != expected:
-            raise RuntimeGateError(
-                f"runtime structural metric differs from polygons: {key}"
-            )
-
-
-def _as_polygon(record: Mapping[str, Any]) -> Any:
-    exterior = record.get("exterior")
-    holes = record.get("holes", [])
-    if not isinstance(exterior, list) or len(exterior) < 3:
-        raise RuntimeGateError("malformed polygon exterior")
-    polygon = Polygon(exterior, holes)
-    if polygon.is_empty:
-        raise RuntimeGateError("empty polygon in runtime record")
-    return make_valid(polygon) if not polygon.is_valid else polygon
-
-
-def _geometry_from_polygons(polygons: Iterable[Mapping[str, Any]]) -> Any:
-    pieces = [_as_polygon(record) for record in polygons]
-    geometry = unary_union(pieces)
-    polygon_parts = _polygon_parts(geometry)
-    if not polygon_parts:
-        raise RuntimeGateError("runtime polygons union to empty material")
-    material = unary_union(polygon_parts)
-    if material.is_empty:
-        raise RuntimeGateError("runtime polygons union to empty material")
-    return material
-
-
-def _polygon_parts(geometry: Any) -> list[Polygon]:
-    if isinstance(geometry, Polygon):
-        return [geometry]
-    if isinstance(geometry, MultiPolygon):
-        return list(geometry.geoms)
-    if isinstance(geometry, GeometryCollection):
-        parts: list[Polygon] = []
-        for child in geometry.geoms:
-            parts.extend(_polygon_parts(child))
-        return parts
-    return []
-
-
-def _line_parts(geometry: Any) -> list[LineString]:
-    if isinstance(geometry, LineString):
-        return [geometry]
-    if isinstance(geometry, MultiLineString):
-        return list(geometry.geoms)
-    if isinstance(geometry, GeometryCollection):
-        parts: list[LineString] = []
-        for child in geometry.geoms:
-            parts.extend(_line_parts(child))
-        return parts
-    return []
-
-
-def _edge_intervals_for_geometry(
-    geometry: Any,
-    bounds: tuple[float, float, float, float],
-) -> dict[str, list[dict[str, float]]]:
-    """Return material cross-sections exposed on each bbox edge.
-
-    These intervals are geometry-derived rather than port-derived.  A builder
-    can therefore use them to update literal L4 ``optical_port_specs`` after a
-    body mutation, before the declared ports have been repaired.
-    """
-
-    min_x, min_y, max_x, max_y = bounds
-    span = max(max_x - min_x, max_y - min_y)
-    extension = max(0.01, span * 1e-6)
-    lines = {
-        "bottom": LineString(
-            [(min_x - extension, min_y), (max_x + extension, min_y)]
-        ),
-        "left": LineString(
-            [(min_x, min_y - extension), (min_x, max_y + extension)]
-        ),
-        "right": LineString(
-            [(max_x, min_y - extension), (max_x, max_y + extension)]
-        ),
-        "top": LineString(
-            [(min_x - extension, max_y), (max_x + extension, max_y)]
-        ),
-    }
-    records: dict[str, list[dict[str, float]]] = {}
-    for side, line in lines.items():
-        intervals: list[dict[str, float]] = []
-        for segment in _line_parts(geometry.intersection(line)):
-            coordinates = list(segment.coords)
-            if len(coordinates) < 2:
-                continue
-            axis = 1 if side in {"left", "right"} else 0
-            low = min(float(point[axis]) for point in coordinates)
-            high = max(float(point[axis]) for point in coordinates)
-            if high - low <= 1e-9:
-                continue
-            intervals.append(
-                {
-                    "center_um": _round_float((low + high) / 2),
-                    "high_um": _round_float(high),
-                    "low_um": _round_float(low),
-                    "width_um": _round_float(high - low),
-                }
-            )
-        records[side] = sorted(
-            intervals,
-            key=lambda item: (item["center_um"], item["width_um"]),
-        )
-    return records
-
-
-def edge_material_intervals(
-    result: Mapping[str, Any],
-) -> dict[str, list[dict[str, float]]]:
-    """Recompute geometry-derived terminal candidates on the four bbox edges."""
-
-    _validate_runtime_record(result)
-    return _edge_intervals_for_geometry(
-        _geometry_from_polygons(result["polygons"]),
-        _bounds(result),
-    )
-
-
-def _geometry_metrics(
-    geometry: Any,
-    polygons: Sequence[Mapping[str, Any]],
-) -> dict[str, Any]:
-    parts = _polygon_parts(geometry)
-    vertex_count = 0
-    for record in polygons:
-        vertex_count += len(record["exterior"])
-        vertex_count += sum(len(hole) for hole in record.get("holes", []))
-    hole_count = sum(
-        Polygon(interior).area >= MIN_VISIBLE_HOLE_AREA_UM2
-        for part in parts
-        for interior in part.interiors
-    )
-    min_x, min_y, max_x, max_y = geometry.bounds
-    bbox_area = (max_x - min_x) * (max_y - min_y)
-    layers = {
-        tuple(int(value) for value in record["layer"]) for record in polygons
-    }
-    return {
-        "connected_component_count": len(parts),
-        "fill_fraction": _round_float(geometry.area / bbox_area),
-        "hole_count": hole_count,
-        "layer_count": len(layers),
-        "material_area_um2": _round_float(geometry.area),
-        "polygon_count": len(polygons),
-        "vertex_count": vertex_count,
-    }
-
-
-def _bounds(
-    result: Mapping[str, Any],
-) -> tuple[float, float, float, float]:
-    bbox = result["bbox_um"]
-    return (
-        float(bbox[0][0]),
-        float(bbox[0][1]),
-        float(bbox[1][0]),
-        float(bbox[1][1]),
-    )
-
-
-def _expanded_bounds(
-    bounds: tuple[float, float, float, float],
-    *,
-    padding_fraction: float,
-) -> tuple[float, float, float, float]:
-    min_x, min_y, max_x, max_y = bounds
-    span_x = max_x - min_x
-    span_y = max_y - min_y
-    if span_x <= 0 or span_y <= 0:
-        raise RuntimeGateError("cannot render a non-positive bbox")
-    return (
-        min_x - span_x * padding_fraction,
-        min_y - span_y * padding_fraction,
-        max_x + span_x * padding_fraction,
-        max_y + span_y * padding_fraction,
-    )
-
-
-def _render_transform(
-    bounds: tuple[float, float, float, float],
-    *,
-    mode: str,
-    maximum_canvas_px: tuple[int, int],
-    physical_long_edge_px: int,
-    margin_px: int,
-) -> tuple[tuple[int, int], tuple[float, float]]:
-    min_x, min_y, max_x, max_y = bounds
-    span_x = max_x - min_x
-    span_y = max_y - min_y
-    if mode == "maximum_visibility":
-        width, height = maximum_canvas_px
-        if min(width, height) <= 2 * margin_px:
-            raise ValueError("maximum-visibility canvas is smaller than its margins")
-        return (width, height), (
-            (width - 2 * margin_px) / span_x,
-            (height - 2 * margin_px) / span_y,
-        )
-    if mode != "physical_aspect":
-        raise ValueError(
-            "mode must be 'maximum_visibility' or 'physical_aspect'"
-        )
-    if physical_long_edge_px <= 2 * margin_px:
-        raise ValueError("physical long edge is smaller than its margins")
-    scale = (physical_long_edge_px - 2 * margin_px) / max(span_x, span_y)
-    width = max(2 * margin_px + 1, int(math.ceil(span_x * scale)) + 2 * margin_px)
-    height = max(
-        2 * margin_px + 1,
-        int(math.ceil(span_y * scale)) + 2 * margin_px,
-    )
-    return (width, height), (scale, scale)
-
-
-def _draw_geometry(
-    geometry: Any,
-    *,
-    canvas: tuple[int, int],
-    bounds: tuple[float, float, float, float],
-    scale: tuple[float, float],
-    margin_px: int,
-) -> Image.Image:
-    width, height = canvas
-    min_x, min_y, _max_x, _max_y = bounds
-    scale_x, scale_y = scale
-
-    def pixel(point: Sequence[float]) -> tuple[int, int]:
-        return (
-            int(round(margin_px + (float(point[0]) - min_x) * scale_x)),
-            int(round(height - margin_px - (float(point[1]) - min_y) * scale_y)),
-        )
-
-    material = Image.new("1", canvas, color=0)
-    for polygon in _polygon_parts(geometry):
-        piece = Image.new("1", canvas, color=0)
-        draw = ImageDraw.Draw(piece)
-        draw.polygon([pixel(point) for point in polygon.exterior.coords], fill=1)
-        for interior in polygon.interiors:
-            draw.polygon([pixel(point) for point in interior.coords], fill=0)
-        material = ImageChops.logical_or(material, piece)
-    image = Image.new("L", canvas, color=255)
-    image.paste(0, mask=material)
-    return image
-
-
-def _png_bytes(image: Image.Image) -> bytes:
-    output = io.BytesIO()
-    image.save(output, format="PNG", compress_level=9, optimize=False)
-    return output.getvalue()
-
-
-def render_geometry(
-    result: Mapping[str, Any],
-    *,
-    mode: str,
-    world_bounds_um: tuple[float, float, float, float] | None = None,
-    maximum_canvas_px: tuple[int, int] = (1440, 1440),
-    physical_long_edge_px: int = 2496,
-    margin_px: int = 64,
-    padding_fraction: float = 0.0,
-) -> RenderedPNG:
-    """Render flattened material as a deterministic black-on-white PNG.
-
-    Maximum visibility intentionally uses independent x/y scales.  The physical
-    view uses exactly one isotropic scale.  The returned transform makes that
-    distinction explicit to downstream row construction.
-    """
-
-    _validate_runtime_record(result)
-    geometry = _geometry_from_polygons(result["polygons"])
-    base_bounds = world_bounds_um or _bounds(result)
-    bounds = _expanded_bounds(base_bounds, padding_fraction=padding_fraction)
-    canvas, scale = _render_transform(
-        bounds,
-        mode=mode,
-        maximum_canvas_px=maximum_canvas_px,
-        physical_long_edge_px=physical_long_edge_px,
-        margin_px=margin_px,
-    )
-    image = _draw_geometry(
-        geometry,
-        canvas=canvas,
-        bounds=bounds,
-        scale=scale,
-        margin_px=margin_px,
-    )
-    mask = np.asarray(image) < 128
-    if not mask.any():
-        raise RuntimeGateError("renderer emitted a blank image")
-    return RenderedPNG(
-        png_bytes=_png_bytes(image),
-        mode=mode,
-        canvas_px=canvas,
-        world_bounds_um=bounds,
-        scale_px_per_um=scale,
-        margin_px=margin_px,
-    )
-
-
-def render_views(
-    result: Mapping[str, Any],
-    *,
-    maximum_canvas_px: tuple[int, int] = (1440, 1440),
-    physical_long_edge_px: int = 2496,
-    margin_px: int = 64,
-) -> dict[str, RenderedPNG]:
-    """Render both row views with explicit calibration metadata."""
-
-    return {
-        "maximum_visibility": render_geometry(
-            result,
-            mode="maximum_visibility",
-            maximum_canvas_px=maximum_canvas_px,
-            physical_long_edge_px=physical_long_edge_px,
-            margin_px=margin_px,
-        ),
-        "physical_aspect": render_geometry(
-            result,
-            mode="physical_aspect",
-            maximum_canvas_px=maximum_canvas_px,
-            physical_long_edge_px=physical_long_edge_px,
-            margin_px=margin_px,
-        ),
-    }
-
-
-def png_mask(value: bytes | Image.Image | np.ndarray) -> np.ndarray:
-    """Convert a runtime PNG/image/array to a boolean material mask."""
-
-    if isinstance(value, bytes):
-        with Image.open(io.BytesIO(value)) as opened:
-            array = np.asarray(opened.convert("L"))
-    elif isinstance(value, Image.Image):
-        array = np.asarray(value.convert("L"))
-    else:
-        array = np.asarray(value)
-        if array.ndim == 3:
-            array = array[..., :3].mean(axis=2)
-    if array.ndim != 2:
-        raise ValueError("mask input must resolve to a two-dimensional image")
-    return array < 128
-
-
-def mask_delta(
-    reference: bytes | Image.Image | np.ndarray,
-    candidate: bytes | Image.Image | np.ndarray,
-) -> MaskDelta:
-    """Compute IoU and XOR delta for two already aligned rasters."""
-
-    left = png_mask(reference)
-    right = png_mask(candidate)
-    if left.shape != right.shape:
-        raise ValueError(f"mask shapes disagree: {left.shape} != {right.shape}")
-    union = np.logical_or(left, right)
-    intersection = np.logical_and(left, right)
-    changed = np.logical_xor(left, right)
-    union_pixels = int(union.sum())
-    if union_pixels == 0:
-        raise RuntimeGateError("cannot compare two blank masks")
-    return MaskDelta(
-        iou=float(intersection.sum() / union_pixels),
-        changed_fraction=float(changed.sum() / union_pixels),
-        xor_pixels=int(changed.sum()),
-        union_pixels=union_pixels,
-        reference_pixels=int(left.sum()),
-        candidate_pixels=int(right.sum()),
-    )
-
-
-def compare_geometry_masks(
-    reference: Mapping[str, Any],
-    candidate: Mapping[str, Any],
-    *,
-    mode: str = "physical_aspect",
-    maximum_canvas_px: tuple[int, int] = (1440, 1440),
-    physical_long_edge_px: int = 2496,
-    margin_px: int = 64,
-    padding_fraction: float = 0.02,
-) -> MaskDelta:
-    """Compare two executions after rasterizing into one shared world frame."""
-
-    left = _bounds(reference)
-    right = _bounds(candidate)
-    shared = (
-        min(left[0], right[0]),
-        min(left[1], right[1]),
-        max(left[2], right[2]),
-        max(left[3], right[3]),
-    )
-    shared = _expanded_bounds(shared, padding_fraction=padding_fraction)
-    rendered_left = render_geometry(
-        reference,
-        mode=mode,
-        world_bounds_um=shared,
-        maximum_canvas_px=maximum_canvas_px,
-        physical_long_edge_px=physical_long_edge_px,
-        margin_px=margin_px,
-    )
-    rendered_right = render_geometry(
-        candidate,
-        mode=mode,
-        world_bounds_um=shared,
-        maximum_canvas_px=maximum_canvas_px,
-        physical_long_edge_px=physical_long_edge_px,
-        margin_px=margin_px,
-    )
-    return mask_delta(rendered_left.png_bytes, rendered_right.png_bytes)
-
-
-def compare_masks(
-    reference: Mapping[str, Any],
-    candidate: Mapping[str, Any],
-    **kwargs: Any,
-) -> MaskDelta:
-    """Compatibility spelling for the shared-frame geometry comparison."""
-
-    return compare_geometry_masks(reference, candidate, **kwargs)
-
-
-def _port_values(port: Mapping[str, Any]) -> tuple[str, float, float, float, float]:
-    try:
-        name = str(port["name"])
-        center_x, center_y = (float(value) for value in port["center"])
-        orientation = float(port["orientation"]) % 360.0
-        width = float(port["width"])
-    except (KeyError, TypeError, ValueError) as exc:
-        raise RuntimeGateError(f"malformed runtime port: {port!r}") from exc
-    if (
-        not name
-        or not all(
-            math.isfinite(value)
-            for value in (center_x, center_y, orientation, width)
-        )
-        or width <= 0
-    ):
-        raise RuntimeGateError(f"malformed runtime port: {port!r}")
-    return name, center_x, center_y, orientation, width
-
-
-def _port_side(
-    port: Mapping[str, Any],
-    bounds: tuple[float, float, float, float],
-) -> str | None:
-    _name, center_x, center_y, orientation, width = _port_values(port)
-    angle = math.radians(orientation)
-    direction = (math.cos(angle), math.sin(angle))
-    tangent = (-direction[1], direction[0])
-    endpoints = [
-        (
-            center_x + sign * tangent[0] * width / 2,
-            center_y + sign * tangent[1] * width / 2,
-        )
-        for sign in (-1.0, 1.0)
-    ]
-    min_x, min_y, max_x, max_y = bounds
-    span = max(max_x - min_x, max_y - min_y)
-    tolerance = max(0.003, span * 1e-6)
-    contracts = {
-        "bottom": (1, min, min_y, (0.0, -1.0)),
-        "left": (0, min, min_x, (-1.0, 0.0)),
-        "right": (0, max, max_x, (1.0, 0.0)),
-        "top": (1, max, max_y, (0.0, 1.0)),
-    }
-    matches: list[tuple[float, str]] = []
-    for side, (axis, extreme, boundary, normal) in contracts.items():
-        edge = extreme(point[axis] for point in endpoints)
-        outward = direction[0] * normal[0] + direction[1] * normal[1]
-        if abs(edge - boundary) <= tolerance and outward > 1e-6:
-            matches.append((outward, side))
-    if not matches:
-        return None
-    strongest = max(item[0] for item in matches)
-    return sorted(
-        side
-        for outward, side in matches
-        if math.isclose(outward, strongest, abs_tol=1e-9)
-    )[0]
-
-
-def _material_probe_fraction(
-    port: Mapping[str, Any],
-    geometry: Any,
-    *,
-    inward: bool,
-) -> float:
-    _name, center_x, center_y, orientation, width = _port_values(port)
-    angle = math.radians(orientation)
-    outward = (math.cos(angle), math.sin(angle))
-    tangent = (-outward[1], outward[0])
-    depth = max(0.004, min(0.1, width * 0.15))
-    half_width = width * 0.4
-    points = [
-        (
-            center_x + tangent[0] * sign * half_width,
-            center_y + tangent[1] * sign * half_width,
-        )
-        for sign in (-1.0, 1.0)
-    ]
-    direction = -1.0 if inward else 1.0
-    points.extend(
-        (
-            center_x
-            + direction * outward[0] * depth
-            + tangent[0] * sign * half_width,
-            center_y
-            + direction * outward[1] * depth
-            + tangent[1] * sign * half_width,
-        )
-        for sign in (1.0, -1.0)
-    )
-    probe = Polygon(points)
-    if probe.is_empty or probe.area <= 0:
-        return 0.0
-    return float(geometry.intersection(probe).area / probe.area)
-
-
-def _orientation_side(orientation: float) -> str:
-    angle = math.radians(orientation)
-    direction = (math.cos(angle), math.sin(angle))
-    candidates = {
-        "bottom": -direction[1],
-        "left": -direction[0],
-        "right": direction[0],
-        "top": direction[1],
-    }
-    strongest = max(candidates.values())
-    return sorted(
-        side
-        for side, component in candidates.items()
-        if math.isclose(component, strongest, rel_tol=0.0, abs_tol=1e-12)
-    )[0]
-
-
-def _orientation_label(orientation: float) -> str:
-    nearest = min(
-        CARDINAL_ANGLES,
-        key=lambda candidate: abs(
-            (orientation - candidate + 180.0) % 360.0 - 180.0
-        ),
-    )
-    delta = abs((orientation - nearest + 180.0) % 360.0 - 180.0)
-    if delta <= 0.01:
-        return f"{int(nearest):03d}"
-    return f"{_round_float(orientation):07.3f}"
-
-
-def _port_tangent_coordinate(
-    port: Mapping[str, Any],
-    side: str,
-) -> float:
-    _name, center_x, center_y, _orientation, _width = _port_values(port)
-    return center_y if side in {"left", "right"} else center_x
-
-
-def _ordered_interval_partition(
-    intervals: Sequence[Mapping[str, float]],
-    anchor_ports: Sequence[Mapping[str, Any]],
-    *,
-    side: str,
-    anchor_bounds: tuple[float, float, float, float],
-    candidate_bounds: tuple[float, float, float, float],
-) -> list[list[Mapping[str, float]]]:
-    """Partition ordered edge segments into ordered anchor terminals."""
-
-    count = len(anchor_ports)
-    if len(intervals) < count:
-        raise RuntimeGateError(
-            f"{side}: found {len(intervals)} material intervals for "
-            f"{count} anchor ports"
-        )
-    if len(intervals) == count:
-        return [[interval] for interval in intervals]
-    tangent_axis = 1 if side in {"left", "right"} else 0
-    anchor_low = anchor_bounds[tangent_axis]
-    anchor_high = anchor_bounds[tangent_axis + 2]
-    candidate_low = candidate_bounds[tangent_axis]
-    candidate_high = candidate_bounds[tangent_axis + 2]
-    anchor_span = anchor_high - anchor_low
-    candidate_span = candidate_high - candidate_low
-    targets: list[tuple[float, float]] = []
-    for port in anchor_ports:
-        coordinate = _port_tangent_coordinate(port, side)
-        _name, _x, _y, _orientation, width = _port_values(port)
-        fraction = (coordinate - anchor_low) / anchor_span
-        targets.append(
-            (
-                candidate_low + fraction * candidate_span,
-                width * candidate_span / anchor_span,
-            )
-        )
-
-    # Dynamic programming over contiguous partitions.  Contiguity preserves
-    # terminal ordering while allowing one logical slot port to span several
-    # disjoint material rails.
-    memo: dict[tuple[int, int], tuple[float, list[list[Mapping[str, float]]]]] = {}
-
-    def solve(
-        interval_index: int,
-        port_index: int,
-    ) -> tuple[float, list[list[Mapping[str, float]]]]:
-        key = (interval_index, port_index)
-        if key in memo:
-            return memo[key]
-        remaining_ports = count - port_index
-        remaining_intervals = len(intervals) - interval_index
-        if remaining_ports == 0:
-            return (0.0, []) if remaining_intervals == 0 else (math.inf, [])
-        best: tuple[float, list[list[Mapping[str, float]]]] = (math.inf, [])
-        max_take = remaining_intervals - (remaining_ports - 1)
-        target_center, target_width = targets[port_index]
-        for take in range(1, max_take + 1):
-            group = list(intervals[interval_index : interval_index + take])
-            low = min(float(item["low_um"]) for item in group)
-            high = max(float(item["high_um"]) for item in group)
-            center = (low + high) / 2
-            width = high - low
-            scale = max(candidate_span, 1e-9)
-            width_scale = max(target_width, scale * 1e-6)
-            group_cost = abs(center - target_center) / scale
-            group_cost += 0.25 * abs(width - target_width) / width_scale
-            tail_cost, tail = solve(interval_index + take, port_index + 1)
-            total = group_cost + tail_cost
-            if total < best[0]:
-                best = (total, [group, *tail])
-        memo[key] = best
-        return best
-
-    cost, groups = solve(0, 0)
-    if not math.isfinite(cost) or len(groups) != count:
-        raise RuntimeGateError(f"{side}: could not assign boundary intervals")
-    return groups
-
-
-def derive_optical_port_specs(
-    anchor: Mapping[str, Any],
-    candidate: Mapping[str, Any],
-) -> tuple[tuple[str, tuple[float, float], float, float], ...]:
-    """Derive candidate L4 ``optical_port_specs`` from material boundaries.
-
-    Names, orientation, side, and ordering come from the approved anchor.
-    Centers and widths come from candidate boundary material, including a
-    deterministic contiguous grouping when one logical port spans multiple
-    rails (slot/subwavelength terminals).  The tuple shape exactly matches the
-    literal used by all core-v1 L4 programs.
-    """
-
-    _validate_runtime_record(anchor)
-    _validate_runtime_record(candidate)
-    anchor_bounds = _bounds(anchor)
-    candidate_bounds = _bounds(candidate)
-    anchor_by_side: dict[str, list[Mapping[str, Any]]] = {
-        side: [] for side in ("bottom", "left", "right", "top")
-    }
-    for port in anchor["ports"]:
-        side = _port_side(port, anchor_bounds)
-        name, _x, _y, orientation, _width = _port_values(port)
-        if side is None:
-            raise RuntimeGateError(
-                f"anchor port {name} at {orientation:g} degrees is not a bbox terminal"
-            )
-        anchor_by_side[side].append(port)
-    for side in anchor_by_side:
-        anchor_by_side[side].sort(
-            key=lambda port: (
-                _port_tangent_coordinate(port, side),
-                _port_values(port)[0],
-            )
-        )
-
-    intervals = edge_material_intervals(candidate)
-    repaired: dict[str, tuple[str, tuple[float, float], float, float]] = {}
-    min_x, min_y, max_x, max_y = candidate_bounds
-    for side, ports in anchor_by_side.items():
-        if not ports:
-            continue
-        groups = _ordered_interval_partition(
-            intervals[side],
-            ports,
-            side=side,
-            anchor_bounds=anchor_bounds,
-            candidate_bounds=candidate_bounds,
-        )
-        for port, group in zip(ports, groups, strict=True):
-            name, _x, _y, orientation, _old_width = _port_values(port)
-            low = min(float(item["low_um"]) for item in group)
-            high = max(float(item["high_um"]) for item in group)
-            center = _round_float((low + high) / 2)
-            width = _round_float(high - low)
-            if side == "left":
-                point = (_round_float(min_x), center)
-            elif side == "right":
-                point = (_round_float(max_x), center)
-            elif side == "bottom":
-                point = (center, _round_float(min_y))
-            else:
-                point = (center, _round_float(max_y))
-            repaired[name] = (name, point, width, _round_float(orientation))
-    anchor_names = [_port_values(port)[0] for port in anchor["ports"]]
-    if set(repaired) != set(anchor_names):
-        raise RuntimeGateError(
-            "derived port set differs from anchor: "
-            f"derived={sorted(repaired)} anchor={sorted(anchor_names)}"
-        )
-    return tuple(repaired[name] for name in anchor_names)
-
-
-def gate_ports(
-    result: Mapping[str, Any],
-    *,
-    reference: Mapping[str, Any] | None = None,
-    expected_count: int | None = None,
-    minimum_contact_fraction: float = 0.50,
-    maximum_outward_material_fraction: float | None = None,
-    require_bbox_edge: bool = False,
-) -> PortGateReport:
-    """Gate count, terminal side/orientation, and material attachment.
-
-    When ``reference`` is supplied, the candidate must preserve its count and
-    orientation-side histogram.  This deliberately permits parameters to move
-    terminals along an edge while rejecting detached, rotated, or re-sided
-    terminals.
-    """
-
-    _validate_runtime_record(result)
-    if not 0.0 <= minimum_contact_fraction <= 1.0:
-        raise ValueError("minimum_contact_fraction must lie in [0, 1]")
-    if maximum_outward_material_fraction is not None and not (
-        0.0 <= maximum_outward_material_fraction <= 1.0
-    ):
-        raise ValueError("maximum_outward_material_fraction must lie in [0, 1]")
-    geometry = _geometry_from_polygons(result["polygons"])
-    bounds = _bounds(result)
-    ports = list(result["ports"])
-    errors: list[str] = []
-    names: list[str] = []
-    witnesses: list[PortWitness] = []
-    signature: Counter[str] = Counter()
-    for port in ports:
-        name, _x, _y, orientation, width = _port_values(port)
-        names.append(name)
-        side = _orientation_side(orientation)
-        bbox_side = _port_side(port, bounds)
-        contact_fraction = _material_probe_fraction(
-            port,
-            geometry,
-            inward=True,
-        )
-        outward_fraction = _material_probe_fraction(
-            port,
-            geometry,
-            inward=False,
-        )
-        touches = (
-            contact_fraction >= minimum_contact_fraction
-            and (
-                maximum_outward_material_fraction is None
-                or outward_fraction <= maximum_outward_material_fraction
-            )
-        )
-        if require_bbox_edge and bbox_side is None:
-            errors.append(f"{name}: terminal is not on its outward bbox side")
-        signature[f"{side}:{_orientation_label(orientation)}"] += 1
-        if contact_fraction < minimum_contact_fraction:
-            errors.append(
-                f"{name}: inward material fraction {contact_fraction:.3f} "
-                f"< {minimum_contact_fraction:.3f}"
-            )
-        if (
-            maximum_outward_material_fraction is not None
-            and outward_fraction > maximum_outward_material_fraction
-        ):
-            errors.append(
-                f"{name}: outward material fraction {outward_fraction:.3f} "
-                f"> {maximum_outward_material_fraction:.3f}"
-            )
-        witnesses.append(
-            PortWitness(
-                name=name,
-                side=side,
-                bbox_side=bbox_side,
-                orientation_deg=orientation,
-                width_um=width,
-                inward_material_fraction=contact_fraction,
-                outward_material_fraction=outward_fraction,
-                touches_material=touches,
-            )
-        )
-    if len(names) != len(set(names)):
-        errors.append("runtime port names are not unique")
-    if expected_count is not None and len(ports) != expected_count:
-        errors.append(
-            f"port count mismatch: observed={len(ports)} expected={expected_count}"
-        )
-    if reference is not None:
-        reference_report = gate_ports(
-            reference,
-            minimum_contact_fraction=minimum_contact_fraction,
-            maximum_outward_material_fraction=maximum_outward_material_fraction,
-            require_bbox_edge=require_bbox_edge,
-        )
-        if len(ports) != reference_report.port_count:
-            errors.append(
-                "port count changed from reference: "
-                f"{reference_report.port_count} -> {len(ports)}"
-            )
-        if dict(signature) != reference_report.orientation_side_histogram:
-            errors.append(
-                "orientation-side histogram changed from reference: "
-                f"{reference_report.orientation_side_histogram} -> "
-                f"{dict(sorted(signature.items()))}"
-            )
-    return PortGateReport(
-        passed=not errors,
-        errors=tuple(errors),
-        port_count=len(ports),
-        orientation_side_histogram=dict(sorted(signature.items())),
-        witnesses=tuple(witnesses),
-    )
-
-
-def validate_candidate(
-    reference: Mapping[str, Any],
-    candidate: Mapping[str, Any],
-    *,
-    minimum_contact_fraction: float = 0.50,
-    maximum_outward_material_fraction: float | None = None,
-    minimum_changed_fraction: float = 0.002,
-    maximum_changed_fraction: float = 0.80,
-    comparison_mode: str = "physical_aspect",
-    require_same_connected_components: bool = True,
-    require_same_holes: bool = True,
-    require_bbox_edge_ports: bool = False,
-) -> CandidateGateReport:
-    """Validate a controlled realization against its representation anchor.
-
-    The gate preserves source grammar, layer count, and reference-operation
-    structure; checks the full port contract; and rejects both raster no-ops
-    and transformations so large that they are unlikely to be realizations of
-    the same representation.  Callers may disable the connected-component
-    invariant for a specifically audited count axis.
-    """
-
-    _validate_runtime_record(reference)
-    _validate_runtime_record(candidate)
-    errors: list[str] = []
-    ports = gate_ports(
-        candidate,
-        reference=reference,
-        minimum_contact_fraction=minimum_contact_fraction,
-        maximum_outward_material_fraction=maximum_outward_material_fraction,
-        require_bbox_edge=require_bbox_edge_ports,
-    )
-    errors.extend(ports.errors)
-    left_metrics = reference["structural_metrics"]
-    right_metrics = candidate["structural_metrics"]
-    preserved = [
-        "layer_count",
-        "primitive_call_histogram",
-        "reference_operation_histogram",
-    ]
-    if require_same_connected_components:
-        preserved.append("connected_component_count")
-    if require_same_holes:
-        preserved.append("hole_count")
-    deltas: dict[str, tuple[Any, Any]] = {}
-    for key in preserved:
-        before = left_metrics.get(key)
-        after = right_metrics.get(key)
-        if before != after:
-            deltas[key] = (before, after)
-            errors.append(f"structural witness changed: {key}={before!r}->{after!r}")
-    delta = compare_geometry_masks(
-        reference,
-        candidate,
-        mode=comparison_mode,
-    )
-    if delta.changed_fraction < minimum_changed_fraction:
-        errors.append(
-            "candidate is a raster no-op: changed_fraction="
-            f"{delta.changed_fraction:.6f} < {minimum_changed_fraction:.6f}"
-        )
-    if delta.changed_fraction > maximum_changed_fraction:
-        errors.append(
-            "candidate exceeds the realization delta cap: changed_fraction="
-            f"{delta.changed_fraction:.6f} > {maximum_changed_fraction:.6f}"
-        )
-    return CandidateGateReport(
-        passed=not errors,
-        errors=tuple(errors),
-        port_gate=ports,
-        structural_deltas=deltas,
-        mask_delta=delta,
-    )
-
-
-def _main() -> int:
-    parser = argparse.ArgumentParser(add_help=False)
-    parser.add_argument("--worker", action="store_true")
-    parser.add_argument("source", nargs="?")
-    parser.add_argument("result", nargs="?")
-    args = parser.parse_args()
-    if not args.worker or not args.source or not args.result:
-        parser.error("runtime.py is an importable helper; worker mode is internal")
-    try:
-        _worker(Path(args.source), Path(args.result))
-    except Exception as exc:
-        print(f"{type(exc).__name__}: {exc}", file=sys.stderr)
-        return 1
-    return 0
-
-
-if __name__ == "__main__":
-    raise SystemExit(_main())
diff --git a/depth-v1/scripts/schema.py b/depth-v1/scripts/schema.py
deleted file mode 100644
index e989a67971f3524502aa30eee815a0122e185e9b..0000000000000000000000000000000000000000
--- a/depth-v1/scripts/schema.py
+++ /dev/null
@@ -1,911 +0,0 @@
-"""Schema and deterministic release helpers for the PixCell depth-v1 package.
-
-This module is self-contained: it does not import the parent dataset factory
-and never writes outside the release root explicitly passed by its caller.
-"""
-
-from __future__ import annotations
-
-import hashlib
-import json
-import math
-import re
-from collections import Counter, defaultdict
-from collections.abc import Iterable, Mapping, Sequence
-from dataclasses import dataclass
-from pathlib import Path
-from typing import Any
-
-from datasets import Features, Image as HFImage, List as HFList, Value
-
-
-CORE_SCHEMA_VERSION = "pixcell-image-code-curriculum-v1"
-DEPTH_SCHEMA_VERSION = "pixcell-depth-row-v1"
-MANIFEST_SCHEMA_VERSION = "pixcell-depth-manifest-v1"
-FREEZE_SCHEMA_VERSION = "pixcell-depth-freeze-v1"
-RELEASE_NAME = "depth-v1"
-FROZEN_LOGICAL_RELEASE_SHA256 = (
-    "676c49134d4d044c7d84426cf8eeecf09302e74ca4aa548956f14b7631a4d80b"
-)
-
-APPROVED_REPRESENTATION_COUNT = 547
-GEOMETRY_STATE_COUNT = 8
-CORE_ROW_COUNT = 738
-CORE_EXTRA_ROW_COUNT = CORE_ROW_COUNT - APPROVED_REPRESENTATION_COUNT
-ANCHOR_ONLY_PARENT_IDS = frozenset(
-    {"l2_02_rotated_edge_aligned_cluster__s03__proposal_b"}
-)
-DEPTH_ELIGIBLE_COUNT = APPROVED_REPRESENTATION_COUNT - len(
-    ANCHOR_ONLY_PARENT_IDS
-)
-DEPTH_DESCENDANT_COUNT = DEPTH_ELIGIBLE_COUNT * (GEOMETRY_STATE_COUNT - 1)
-DEPTH_ROW_COUNT = CORE_ROW_COUNT + DEPTH_DESCENDANT_COUNT
-TRAIN_ROW_COUNT = CORE_ROW_COUNT + DEPTH_ELIGIBLE_COUNT * 5
-VALIDATION_ROW_COUNT = DEPTH_ELIGIBLE_COUNT * 2
-
-CORE_ROW_COLUMNS = (
-    "schema_version",
-    "id",
-    "level",
-    "curriculum_order",
-    "image",
-    "target_image",
-    "code",
-    "code_language",
-    "instruction",
-    "label",
-    "family",
-    "concept_id",
-    "representation_id",
-    "grammar_id",
-    "leakage_group_id",
-    "variation_role",
-    "primitive_calls",
-    "prerequisite_ids",
-    "port_signature_json",
-    "footprint_um",
-    "parameters_json",
-    "topology_json",
-    "metadata_json",
-    "image_sha256",
-    "target_image_sha256",
-    "code_sha256",
-    "normalized_d4_sha256",
-    "view_policy",
-    "source_dataset_digest_sha256",
-    "source_generator_version",
-)
-
-DEPTH_CONTROL_COLUMNS = (
-    "depth_schema_version",
-    "parent_core_id",
-    "parent_code_sha256",
-    "parent_core_digest_sha256",
-    "geometry_id",
-    "realization_id",
-    "realization_slot",
-    "transform_kind",
-    "controlled_axes",
-    "parameter_delta_json",
-    "dependency_group",
-    "split_role",
-    "pose_id",
-    "render_id",
-    "verification_evidence_json",
-    "depth_generator_version",
-    "logical_row_sha256",
-)
-
-DEPTH_ROW_COLUMNS = (*CORE_ROW_COLUMNS, *DEPTH_CONTROL_COLUMNS)
-NON_LOGICAL_PAYLOAD_COLUMNS = frozenset(
-    {"image", "target_image", "code", "logical_row_sha256"}
-)
-EXPECTED_STATE_IDS = tuple(f"r{slot:02d}" for slot in range(GEOMETRY_STATE_COUNT))
-EXPECTED_SPLIT_COUNTS = {
-    "train": TRAIN_ROW_COUNT,
-    "validation": VALIDATION_ROW_COUNT,
-}
-HOST_CONTROL_FILES = frozenset({".gitattributes", ".gitignore", ".gitkeep"})
-SAFE_SPLIT = re.compile(r"^[a-z][a-z0-9_-]*$")
-SHA256 = re.compile(r"^[0-9a-f]{64}$")
-PROHIBITED_EVIDENCE_KEY_PARTS = ("admission", "quarantine", "status")
-
-
-class DepthSchemaError(RuntimeError):
-    """Raised when a depth-v1 schema or release invariant is violated."""
-
-
-@dataclass(frozen=True)
-class ShardPlan:
-    """One deterministic, half-open row interval for a split shard."""
-
-    split: str
-    index: int
-    total: int
-    start: int
-    stop: int
-    filename: str
-
-    @property
-    def row_count(self) -> int:
-        return self.stop - self.start
-
-    def to_dict(self) -> dict[str, Any]:
-        return {
-            "split": self.split,
-            "index": self.index,
-            "total": self.total,
-            "start": self.start,
-            "stop": self.stop,
-            "row_count": self.row_count,
-            "filename": self.filename,
-        }
-
-
-def canonical_json(value: Any) -> str:
-    """Serialize JSON-compatible data with one stable byte representation."""
-
-    return json.dumps(
-        value,
-        sort_keys=True,
-        separators=(",", ":"),
-        ensure_ascii=True,
-        allow_nan=False,
-    )
-
-
-def canonical_sha256(value: Any) -> str:
-    return hashlib.sha256(canonical_json(value).encode("utf-8")).hexdigest()
-
-
-def sha256_file(path: Path) -> str:
-    digest = hashlib.sha256()
-    with path.open("rb") as handle:
-        for chunk in iter(lambda: handle.read(1024 * 1024), b""):
-            digest.update(chunk)
-    return digest.hexdigest()
-
-
-def write_json(path: Path, value: Any) -> None:
-    """Write human-readable JSON while preserving canonical data semantics."""
-
-    path.parent.mkdir(parents=True, exist_ok=True)
-    path.write_text(
-        json.dumps(
-            value,
-            indent=2,
-            sort_keys=True,
-            ensure_ascii=True,
-            allow_nan=False,
-        )
-        + "\n",
-        encoding="utf-8",
-    )
-
-
-def depth_features() -> Features:
-    """Return loader-free Hugging Face features for depth-v1 Parquet shards."""
-
-    features: dict[str, Any] = {
-        "schema_version": Value("string"),
-        "id": Value("string"),
-        "level": Value("string"),
-        "curriculum_order": Value("int32"),
-        "image": HFImage(),
-        "target_image": HFImage(),
-        "code": Value("string"),
-        "code_language": Value("string"),
-        "instruction": Value("string"),
-        "label": Value("string"),
-        "family": Value("string"),
-        "concept_id": Value("string"),
-        "representation_id": Value("string"),
-        "grammar_id": Value("string"),
-        "leakage_group_id": Value("string"),
-        "variation_role": Value("string"),
-        "primitive_calls": HFList(Value("string")),
-        "prerequisite_ids": HFList(Value("string")),
-        "port_signature_json": Value("string"),
-        "footprint_um": HFList(Value("float64")),
-        "parameters_json": Value("string"),
-        "topology_json": Value("string"),
-        "metadata_json": Value("string"),
-        "image_sha256": Value("string"),
-        "target_image_sha256": Value("string"),
-        "code_sha256": Value("string"),
-        "normalized_d4_sha256": Value("string"),
-        "view_policy": Value("string"),
-        "source_dataset_digest_sha256": Value("string"),
-        "source_generator_version": Value("string"),
-        "depth_schema_version": Value("string"),
-        "parent_core_id": Value("string"),
-        "parent_code_sha256": Value("string"),
-        "parent_core_digest_sha256": Value("string"),
-        "geometry_id": Value("string"),
-        "realization_id": Value("string"),
-        "realization_slot": Value("int32"),
-        "transform_kind": Value("string"),
-        "controlled_axes": HFList(Value("string")),
-        "parameter_delta_json": Value("string"),
-        "dependency_group": Value("string"),
-        "split_role": Value("string"),
-        "pose_id": Value("string"),
-        "render_id": Value("string"),
-        "verification_evidence_json": Value("string"),
-        "depth_generator_version": Value("string"),
-        "logical_row_sha256": Value("string"),
-    }
-    if tuple(features) != DEPTH_ROW_COLUMNS:
-        raise DepthSchemaError("Hugging Face feature order differs from depth schema")
-    return Features(features)
-
-
-def _require_complete_row(row: Mapping[str, Any]) -> None:
-    missing = sorted(set(DEPTH_ROW_COLUMNS) - set(row))
-    extra = sorted(set(row) - set(DEPTH_ROW_COLUMNS))
-    if missing or extra:
-        raise DepthSchemaError(
-            f"depth row columns differ: missing={missing}, extra={extra}"
-        )
-
-
-def logical_row_record(row: Mapping[str, Any]) -> dict[str, Any]:
-    """Return the complete logical row, replacing large payloads by hashes."""
-
-    _require_complete_row(row)
-    if row["schema_version"] != CORE_SCHEMA_VERSION:
-        raise DepthSchemaError("parent-compatible core row schema version drift")
-    if row["depth_schema_version"] != DEPTH_SCHEMA_VERSION:
-        raise DepthSchemaError("depth row schema version drift")
-    return {
-        column: row[column]
-        for column in DEPTH_ROW_COLUMNS
-        if column not in NON_LOGICAL_PAYLOAD_COLUMNS
-    }
-
-
-def logical_row_sha256(row: Mapping[str, Any]) -> str:
-    return canonical_sha256(logical_row_record(row))
-
-
-def bind_logical_row_sha256(row: Mapping[str, Any]) -> dict[str, Any]:
-    """Return a copied row with its non-circular logical digest populated."""
-
-    result = dict(row)
-    result["logical_row_sha256"] = logical_row_sha256(result)
-    return result
-
-
-def verify_logical_row_sha256(row: Mapping[str, Any]) -> None:
-    _require_complete_row(row)
-    expected = logical_row_sha256(row)
-    if row["logical_row_sha256"] != expected:
-        raise DepthSchemaError(f"{row.get('id', '<row>')}: logical row digest mismatch")
-
-
-def logical_release_sha256(rows: Iterable[Mapping[str, Any]]) -> str:
-    """Hash a release as a stable, ID-sorted collection of logical rows."""
-
-    materialized = list(rows)
-    ids = [str(row.get("id", "")) for row in materialized]
-    if not ids or any(not value for value in ids):
-        raise DepthSchemaError("logical release requires nonempty row IDs")
-    if len(ids) != len(set(ids)):
-        raise DepthSchemaError("logical release row IDs are not unique")
-    ordered = sorted(materialized, key=lambda row: str(row["id"]))
-    return canonical_sha256([logical_row_record(row) for row in ordered])
-
-
-def shard_filename(split: str, index: int, total: int) -> str:
-    """Return the standard deterministic Hugging Face Parquet shard name."""
-
-    if SAFE_SPLIT.fullmatch(split) is None:
-        raise DepthSchemaError(f"unsafe split name: {split!r}")
-    if (
-        isinstance(index, bool)
-        or isinstance(total, bool)
-        or not isinstance(index, int)
-        or not isinstance(total, int)
-        or total < 1
-        or total > 99999
-        or index < 0
-        or index >= total
-    ):
-        raise DepthSchemaError(f"invalid shard position {index} of {total}")
-    return f"{split}-{index:05d}-of-{total:05d}.parquet"
-
-
-def plan_shards(
-    row_count: int,
-    *,
-    max_rows_per_shard: int,
-    split: str,
-) -> tuple[ShardPlan, ...]:
-    """Partition an ordered split into deterministic contiguous shards."""
-
-    if isinstance(row_count, bool) or not isinstance(row_count, int) or row_count < 1:
-        raise DepthSchemaError("row_count must be a positive integer")
-    if (
-        isinstance(max_rows_per_shard, bool)
-        or not isinstance(max_rows_per_shard, int)
-        or max_rows_per_shard < 1
-    ):
-        raise DepthSchemaError("max_rows_per_shard must be a positive integer")
-    total = math.ceil(row_count / max_rows_per_shard)
-    return tuple(
-        ShardPlan(
-            split=split,
-            index=index,
-            total=total,
-            start=index * max_rows_per_shard,
-            stop=min(row_count, (index + 1) * max_rows_per_shard),
-            filename=shard_filename(split, index, total),
-        )
-        for index in range(total)
-    )
-
-
-def _valid_sha256(value: object, *, label: str) -> str:
-    if not isinstance(value, str) or SHA256.fullmatch(value) is None:
-        raise DepthSchemaError(f"{label} must be a lowercase SHA-256 digest")
-    return value
-
-
-def _json_object(value: object, *, label: str) -> dict[str, Any]:
-    if not isinstance(value, str):
-        raise DepthSchemaError(f"{label} must be JSON text")
-    try:
-        parsed = json.loads(value)
-    except json.JSONDecodeError as exc:
-        raise DepthSchemaError(f"{label} is not valid JSON") from exc
-    if not isinstance(parsed, dict):
-        raise DepthSchemaError(f"{label} must encode a JSON object")
-    return parsed
-
-
-def _verify_public_evidence(value: object, *, label: str) -> None:
-    if isinstance(value, Mapping):
-        for key, child in value.items():
-            lowered = str(key).lower()
-            if any(part in lowered for part in PROHIBITED_EVIDENCE_KEY_PARTS):
-                raise DepthSchemaError(
-                    f"{label} contains a non-public control key: {key!r}"
-                )
-            _verify_public_evidence(child, label=label)
-    elif isinstance(value, list):
-        for child in value:
-            _verify_public_evidence(child, label=label)
-
-
-def validate_depth_population(
-    rows: Iterable[Mapping[str, Any]],
-    *,
-    expected_parent_core_digest_sha256: str | None = None,
-) -> dict[str, Any]:
-    """Validate the complete depth-v1 population contract."""
-
-    materialized = list(rows)
-    if len(materialized) != DEPTH_ROW_COUNT:
-        raise DepthSchemaError(
-            f"depth-v1 row count {len(materialized)} != {DEPTH_ROW_COUNT}"
-        )
-    by_parent: dict[str, dict[int, Mapping[str, Any]]] = defaultdict(dict)
-    dependency_by_parent: dict[str, str] = {}
-    leakage_by_parent: dict[str, str] = {}
-    code_by_parent: dict[str, str] = {}
-    core_extra_count = 0
-    core_extra_parent_ids: set[str] = set()
-    split_counts: Counter[str] = Counter()
-    role_counts: Counter[str] = Counter()
-    geometry_ids: set[str] = set()
-    row_ids: set[str] = set()
-    parent_digests: set[str] = set()
-
-    for row in materialized:
-        _require_complete_row(row)
-        verify_logical_row_sha256(row)
-        row_id = str(row["id"])
-        parent_id = str(row["parent_core_id"])
-        if not row_id or row_id in row_ids or not parent_id:
-            raise DepthSchemaError("depth row or parent IDs are empty or duplicated")
-        row_ids.add(row_id)
-        parent_digest = _valid_sha256(
-            row["parent_core_digest_sha256"],
-            label=f"{row_id}/parent_core_digest_sha256",
-        )
-        _valid_sha256(
-            row["parent_code_sha256"],
-            label=f"{row_id}/parent_code_sha256",
-        )
-        parent_digests.add(parent_digest)
-        dependency = str(row["dependency_group"])
-        if not dependency:
-            raise DepthSchemaError(f"{row_id}: dependency_group is empty")
-        previous_dependency = dependency_by_parent.setdefault(parent_id, dependency)
-        if previous_dependency != dependency:
-            raise DepthSchemaError(
-                f"{parent_id}: dependency_group differs across descendants"
-            )
-        leakage_group = str(row["leakage_group_id"])
-        if not leakage_group:
-            raise DepthSchemaError(f"{row_id}: leakage_group_id is empty")
-        previous_leakage = leakage_by_parent.setdefault(parent_id, leakage_group)
-        if previous_leakage != leakage_group:
-            raise DepthSchemaError(
-                f"{parent_id}: leakage_group_id differs across descendants"
-            )
-        parent_code = str(row["parent_code_sha256"])
-        previous_code = code_by_parent.setdefault(parent_id, parent_code)
-        if previous_code != parent_code:
-            raise DepthSchemaError(
-                f"{parent_id}: parent_code_sha256 differs across descendants"
-            )
-
-        slot = row["realization_slot"]
-        if isinstance(slot, bool) or not isinstance(slot, int):
-            raise DepthSchemaError(f"{row_id}: realization_slot is not an integer")
-        controlled_axes = row["controlled_axes"]
-        if (
-            not isinstance(controlled_axes, list)
-            or any(not isinstance(axis, str) or not axis for axis in controlled_axes)
-            or len(controlled_axes) != len(set(controlled_axes))
-        ):
-            raise DepthSchemaError(
-                f"{row_id}: controlled_axes must contain unique nonempty strings"
-            )
-        _json_object(
-            row["parameter_delta_json"],
-            label=f"{row_id}/parameter_delta_json",
-        )
-        verification_evidence = _json_object(
-            row["verification_evidence_json"],
-            label=f"{row_id}/verification_evidence_json",
-        )
-        _verify_public_evidence(
-            verification_evidence,
-            label=f"{row_id}/verification_evidence_json",
-        )
-        for field in (
-            "transform_kind",
-            "dependency_group",
-            "pose_id",
-            "render_id",
-            "depth_generator_version",
-        ):
-            if not isinstance(row[field], str) or not row[field]:
-                raise DepthSchemaError(f"{row_id}: {field} must be nonempty")
-        role = str(row["split_role"])
-        role_counts[role] += 1
-        if slot == -1:
-            if role != "core-extra":
-                raise DepthSchemaError(
-                    f"{row_id}: slot -1 must have split_role core-extra"
-                )
-            core_extra_count += 1
-            core_extra_parent_ids.add(parent_id)
-            split_counts["train"] += 1
-            continue
-        if not 0 <= slot < GEOMETRY_STATE_COUNT:
-            raise DepthSchemaError(f"{row_id}: realization_slot is outside -1..7")
-        if row["realization_id"] != EXPECTED_STATE_IDS[slot]:
-            raise DepthSchemaError(
-                f"{row_id}: realization_id does not match slot {slot}"
-            )
-        expected_role = "train" if slot <= 5 else "validation"
-        if role != expected_role:
-            raise DepthSchemaError(
-                f"{row_id}: slot {slot} must have split_role {expected_role}"
-            )
-        if slot in by_parent[parent_id]:
-            raise DepthSchemaError(f"{parent_id}: repeated realization slot {slot}")
-        if slot == 0:
-            if row_id != parent_id:
-                raise DepthSchemaError(
-                    f"{row_id}: r00 anchor must bind itself as parent_core_id"
-                )
-            if row["parent_code_sha256"] != row["code_sha256"]:
-                raise DepthSchemaError(
-                    f"{row_id}: r00 parent code hash differs from anchor code"
-                )
-        by_parent[parent_id][slot] = row
-        geometry_id = str(row["geometry_id"])
-        if not geometry_id or geometry_id in geometry_ids:
-            raise DepthSchemaError("geometry_id values must be nonempty and unique")
-        geometry_ids.add(geometry_id)
-        split_counts[expected_role] += 1
-
-    if expected_parent_core_digest_sha256 is not None:
-        _valid_sha256(
-            expected_parent_core_digest_sha256,
-            label="expected parent core digest",
-        )
-        if parent_digests != {expected_parent_core_digest_sha256}:
-            raise DepthSchemaError("rows are not bound to the expected core digest")
-    elif len(parent_digests) != 1:
-        raise DepthSchemaError("depth rows bind to more than one core release")
-
-    if len(by_parent) != APPROVED_REPRESENTATION_COUNT:
-        raise DepthSchemaError(
-            f"depth parent count {len(by_parent)} != {APPROVED_REPRESENTATION_COUNT}"
-        )
-    unknown_extra_parents = sorted(core_extra_parent_ids - set(by_parent))
-    if unknown_extra_parents:
-        raise DepthSchemaError(
-            f"core extras bind to unknown semantic anchors: {unknown_extra_parents[:5]}"
-        )
-    expected_slots = set(range(GEOMETRY_STATE_COUNT))
-    incomplete = sorted(
-        parent_id
-        for parent_id, states in by_parent.items()
-        if set(states)
-        != (
-            {0}
-            if parent_id in ANCHOR_ONLY_PARENT_IDS
-            else expected_slots
-        )
-    )
-    if incomplete:
-        raise DepthSchemaError(
-            "parents with realization slots outside their frozen schedule: "
-            f"{incomplete[:5]}"
-        )
-    observed_anchor_only = {
-        parent_id for parent_id, states in by_parent.items() if set(states) == {0}
-    }
-    if observed_anchor_only != set(ANCHOR_ONLY_PARENT_IDS):
-        raise DepthSchemaError(
-            "anchor-only parent inventory differs: "
-            f"observed={sorted(observed_anchor_only)}, "
-            f"expected={sorted(ANCHOR_ONLY_PARENT_IDS)}"
-        )
-    duplicate_inputs = sorted(
-        parent_id
-        for parent_id, states in by_parent.items()
-        if len(
-            {
-                (
-                    str(row["image_sha256"]),
-                    str(row["instruction"]),
-                )
-                for row in states.values()
-            }
-        )
-        != len(states)
-    )
-    if duplicate_inputs:
-        raise DepthSchemaError(
-            "parents with repeated model inputs: "
-            f"{duplicate_inputs[:5]}"
-        )
-    if core_extra_count != CORE_EXTRA_ROW_COUNT:
-        raise DepthSchemaError(
-            f"core-extra row count {core_extra_count} != {CORE_EXTRA_ROW_COUNT}"
-        )
-    if dict(split_counts) != EXPECTED_SPLIT_COUNTS:
-        raise DepthSchemaError(
-            f"depth split counts {dict(split_counts)} != {EXPECTED_SPLIT_COUNTS}"
-        )
-    return {
-        "row_count": len(materialized),
-        "approved_representation_count": len(by_parent),
-        "complete_depth_representation_count": DEPTH_ELIGIBLE_COUNT,
-        "anchor_only_representation_count": len(ANCHOR_ONLY_PARENT_IDS),
-        "anchor_only_parent_ids": sorted(ANCHOR_ONLY_PARENT_IDS),
-        "geometry_state_count": GEOMETRY_STATE_COUNT,
-        "geometry_row_count": len(geometry_ids),
-        "core_extra_row_count": core_extra_count,
-        "split_counts": dict(sorted(split_counts.items())),
-        "split_role_counts": dict(sorted(role_counts.items())),
-        "realization_counts": {
-            state_id: (
-                APPROVED_REPRESENTATION_COUNT
-                if state_id == "r00"
-                else DEPTH_ELIGIBLE_COUNT
-            )
-            for state_id in EXPECTED_STATE_IDS
-        },
-        "parent_core_digest_sha256": next(iter(parent_digests)),
-    }
-
-
-def _normalize_shard_records(
-    shards: Sequence[Mapping[str, Any]],
-) -> list[dict[str, Any]]:
-    normalized = []
-    seen_paths: set[str] = set()
-    for raw in shards:
-        split = str(raw.get("split", ""))
-        index = raw.get("index")
-        total = raw.get("total")
-        rows = raw.get("rows")
-        path = str(raw.get("path", ""))
-        if (
-            isinstance(index, bool)
-            or not isinstance(index, int)
-            or isinstance(total, bool)
-            or not isinstance(total, int)
-            or isinstance(rows, bool)
-            or not isinstance(rows, int)
-            or rows < 1
-        ):
-            raise DepthSchemaError("manifest shard positions/counts are malformed")
-        expected_name = shard_filename(split, index, total)
-        if Path(path).name != expected_name or Path(path).is_absolute():
-            raise DepthSchemaError(f"non-deterministic shard path: {path!r}")
-        if ".." in Path(path).parts or path in seen_paths:
-            raise DepthSchemaError(f"unsafe or repeated shard path: {path!r}")
-        seen_paths.add(path)
-        digest = _valid_sha256(
-            raw.get("sha256"),
-            label=f"{path}/sha256",
-        )
-        size = raw.get("bytes")
-        if isinstance(size, bool) or not isinstance(size, int) or size < 1:
-            raise DepthSchemaError(f"{path}: shard byte size is invalid")
-        normalized.append(
-            {
-                "split": split,
-                "index": index,
-                "total": total,
-                "path": path,
-                "rows": rows,
-                "bytes": size,
-                "sha256": digest,
-            }
-        )
-    split_order = {"train": 0, "validation": 1}
-    normalized.sort(
-        key=lambda row: (
-            split_order.get(str(row["split"]), 99),
-            str(row["split"]),
-            int(row["index"]),
-        )
-    )
-    by_split: dict[str, list[dict[str, Any]]] = defaultdict(list)
-    for row in normalized:
-        by_split[str(row["split"])].append(row)
-    if set(by_split) != set(EXPECTED_SPLIT_COUNTS):
-        raise DepthSchemaError("manifest shards must contain train and validation")
-    for split, records in by_split.items():
-        total = len(records)
-        if any(
-            record["total"] != total or record["index"] != index
-            for index, record in enumerate(records)
-        ):
-            raise DepthSchemaError(f"{split}: shard sequence is not contiguous")
-        observed_rows = sum(int(record["rows"]) for record in records)
-        if observed_rows != EXPECTED_SPLIT_COUNTS[split]:
-            raise DepthSchemaError(
-                f"{split}: shard rows {observed_rows} != {EXPECTED_SPLIT_COUNTS[split]}"
-            )
-    return normalized
-
-
-def build_manifest(
-    rows: Iterable[Mapping[str, Any]],
-    *,
-    shards: Sequence[Mapping[str, Any]],
-    depth_generator_version: str,
-    expected_parent_core_digest_sha256: str | None = None,
-) -> dict[str, Any]:
-    """Build the deterministic public manifest from reviewed rows and shards."""
-
-    materialized = list(rows)
-    summary = validate_depth_population(
-        materialized,
-        expected_parent_core_digest_sha256=expected_parent_core_digest_sha256,
-    )
-    if not depth_generator_version:
-        raise DepthSchemaError("depth_generator_version must be nonempty")
-    versions = {str(row["depth_generator_version"]) for row in materialized}
-    if versions != {depth_generator_version}:
-        raise DepthSchemaError("row generator versions differ from manifest")
-    normalized_shards = _normalize_shard_records(shards)
-    return {
-        "schema_version": MANIFEST_SCHEMA_VERSION,
-        "release_name": RELEASE_NAME,
-        "depth_schema_version": DEPTH_SCHEMA_VERSION,
-        "core_schema_version": CORE_SCHEMA_VERSION,
-        "parent_core_digest_sha256": summary["parent_core_digest_sha256"],
-        "depth_generator_version": depth_generator_version,
-        "logical_row_order": "id_ascending",
-        "logical_release_sha256": logical_release_sha256(materialized),
-        **{
-            key: value
-            for key, value in summary.items()
-            if key != "parent_core_digest_sha256"
-        },
-        "shards": normalized_shards,
-    }
-
-
-def _relative_path(root: Path, relative: str, *, label: str) -> Path:
-    raw = Path(relative)
-    if not relative or raw.is_absolute() or ".." in raw.parts:
-        raise DepthSchemaError(f"{label} must be release-relative")
-    path = (root / raw).resolve()
-    try:
-        path.relative_to(root.resolve())
-    except ValueError as exc:
-        raise DepthSchemaError(f"{label} escapes the release root") from exc
-    return path
-
-
-def _relative_file(root: Path, relative: str, *, label: str) -> Path:
-    path = _relative_path(root, relative, label=label)
-    if not path.is_file():
-        raise DepthSchemaError(f"{label} is missing: {relative}")
-    return path
-
-
-def build_freeze(
-    release_root: Path,
-    manifest: Mapping[str, Any],
-    *,
-    manifest_path: str,
-    reference_paths: Sequence[str],
-) -> dict[str, Any]:
-    """Bind a completed manifest and selected release artifacts by hash."""
-
-    root = release_root.expanduser().resolve()
-    if manifest.get("schema_version") != MANIFEST_SCHEMA_VERSION:
-        raise DepthSchemaError("cannot freeze a non-depth-v1 manifest")
-    manifest_file = _relative_file(root, manifest_path, label="manifest")
-    try:
-        recorded_manifest = json.loads(manifest_file.read_text(encoding="utf-8"))
-    except (UnicodeDecodeError, json.JSONDecodeError) as exc:
-        raise DepthSchemaError("manifest file is not valid UTF-8 JSON") from exc
-    if recorded_manifest != dict(manifest):
-        raise DepthSchemaError(
-            "manifest object differs from the manifest file being frozen"
-        )
-    references: dict[str, str] = {}
-    for relative in sorted(set(reference_paths)):
-        path = _relative_file(root, relative, label=f"reference {relative}")
-        references[relative] = sha256_file(path)
-    return {
-        "schema_version": FREEZE_SCHEMA_VERSION,
-        "release_name": RELEASE_NAME,
-        "depth_schema_version": DEPTH_SCHEMA_VERSION,
-        "logical_release_sha256": manifest["logical_release_sha256"],
-        "parent_core_digest_sha256": manifest["parent_core_digest_sha256"],
-        "row_count": manifest["row_count"],
-        "approved_representation_count": manifest["approved_representation_count"],
-        "complete_depth_representation_count": manifest[
-            "complete_depth_representation_count"
-        ],
-        "anchor_only_representation_count": manifest[
-            "anchor_only_representation_count"
-        ],
-        "anchor_only_parent_ids": manifest["anchor_only_parent_ids"],
-        "geometry_state_count": manifest["geometry_state_count"],
-        "manifest": {
-            "path": manifest_path,
-            "sha256": sha256_file(manifest_file),
-        },
-        "reference_artifacts": references,
-    }
-
-
-def iter_release_files(root: Path) -> Iterable[Path]:
-    """Yield checksum-bearing files in stable relative-path order."""
-
-    resolved = root.expanduser().resolve()
-    if not resolved.is_dir():
-        raise DepthSchemaError(f"release root is not a directory: {resolved}")
-    for path in sorted(resolved.rglob("*")):
-        if path.is_symlink():
-            raise DepthSchemaError(
-                f"release contains a symbolic link: {path.relative_to(resolved)}"
-            )
-        if not path.is_file():
-            continue
-        if path.name == "checksums.sha256" or path.name in HOST_CONTROL_FILES:
-            continue
-        if any(
-            part in {"__pycache__", ".pytest_cache", ".ruff_cache", ".git"}
-            for part in path.parts
-        ):
-            continue
-        yield path
-
-
-def write_checksums(
-    release_root: Path,
-    *,
-    relative_path: str = "metadata/checksums.sha256",
-) -> Path:
-    """Write a complete deterministic checksum inventory for one release root."""
-
-    root = release_root.expanduser().resolve()
-    target = _relative_path(root, relative_path, label="checksum inventory")
-    target.parent.mkdir(parents=True, exist_ok=True)
-    lines = [
-        f"{sha256_file(path)}  {path.relative_to(root).as_posix()}"
-        for path in iter_release_files(root)
-        if path.resolve() != target
-    ]
-    target.write_text("\n".join(lines) + "\n", encoding="utf-8")
-    return target
-
-
-def verify_checksums(
-    release_root: Path,
-    *,
-    relative_path: str = "metadata/checksums.sha256",
-) -> None:
-    """Verify the checksum inventory exactly, including missing/extra files."""
-
-    root = release_root.expanduser().resolve()
-    target = _relative_file(root, relative_path, label="checksum inventory")
-    expected: dict[str, str] = {}
-    for line in target.read_text(encoding="utf-8").splitlines():
-        pieces = line.split("  ", 1)
-        if len(pieces) != 2 or SHA256.fullmatch(pieces[0]) is None:
-            raise DepthSchemaError("checksum inventory contains a malformed line")
-        digest, relative = pieces
-        if relative in expected:
-            raise DepthSchemaError(f"checksum path is repeated: {relative}")
-        expected[relative] = digest
-    actual = {
-        path.relative_to(root).as_posix(): sha256_file(path)
-        for path in iter_release_files(root)
-        if path.resolve() != target
-    }
-    if expected != actual:
-        missing = sorted(set(expected) - set(actual))
-        extra = sorted(set(actual) - set(expected))
-        changed = sorted(
-            path
-            for path in set(expected) & set(actual)
-            if expected[path] != actual[path]
-        )
-        raise DepthSchemaError(
-            "checksum inventory drifted: "
-            f"missing={missing}, extra={extra}, changed={changed}"
-        )
-
-
-__all__ = [
-    "ANCHOR_ONLY_PARENT_IDS",
-    "APPROVED_REPRESENTATION_COUNT",
-    "CORE_EXTRA_ROW_COUNT",
-    "CORE_ROW_COLUMNS",
-    "CORE_ROW_COUNT",
-    "CORE_SCHEMA_VERSION",
-    "DEPTH_CONTROL_COLUMNS",
-    "DEPTH_DESCENDANT_COUNT",
-    "DEPTH_ELIGIBLE_COUNT",
-    "DEPTH_ROW_COLUMNS",
-    "DEPTH_ROW_COUNT",
-    "DEPTH_SCHEMA_VERSION",
-    "DepthSchemaError",
-    "EXPECTED_SPLIT_COUNTS",
-    "EXPECTED_STATE_IDS",
-    "FREEZE_SCHEMA_VERSION",
-    "FROZEN_LOGICAL_RELEASE_SHA256",
-    "GEOMETRY_STATE_COUNT",
-    "MANIFEST_SCHEMA_VERSION",
-    "RELEASE_NAME",
-    "ShardPlan",
-    "TRAIN_ROW_COUNT",
-    "VALIDATION_ROW_COUNT",
-    "bind_logical_row_sha256",
-    "build_freeze",
-    "build_manifest",
-    "canonical_json",
-    "canonical_sha256",
-    "depth_features",
-    "iter_release_files",
-    "logical_release_sha256",
-    "logical_row_record",
-    "logical_row_sha256",
-    "plan_shards",
-    "sha256_file",
-    "shard_filename",
-    "validate_depth_population",
-    "verify_checksums",
-    "verify_logical_row_sha256",
-    "write_checksums",
-    "write_json",
-]
diff --git a/depth-v1/scripts/validate.py b/depth-v1/scripts/validate.py
deleted file mode 100644
index d495b013817392c9644b827e95a2f0d9cd40be09..0000000000000000000000000000000000000000
--- a/depth-v1/scripts/validate.py
+++ /dev/null
@@ -1,1378 +0,0 @@
-#!/usr/bin/env python3
-"""Validate a built PixCell depth-v1 release against frozen core-v1.
-
-The default pass is entirely local and static.  It verifies the depth-v1
-checksum inventory, freeze, manifests, Parquet shards, complete population,
-embedded core payloads, controlled literal deltas, normalized source grammar,
-and every code/image digest.  ``--execute-programs`` additionally executes the
-published programs and rechecks geometry, ports, raster evidence, and rendered
-descendant images.
-"""
-
-from __future__ import annotations
-
-import argparse
-import io
-import json
-import math
-import sys
-from collections import Counter
-from collections.abc import Mapping, Sequence
-from dataclasses import asdict
-from pathlib import Path
-from typing import Any
-
-import pyarrow.parquet as pq
-from PIL import Image
-
-
-SCRIPT_ROOT = Path(__file__).resolve().parent
-DEPTH_ROOT = SCRIPT_ROOT.parent
-DATASET_ROOT = DEPTH_ROOT.parent
-CORE_SCRIPTS = DATASET_ROOT / "scripts"
-sys.path.insert(0, str(CORE_SCRIPTS))
-sys.path.insert(0, str(SCRIPT_ROOT))
-
-from _shared import (  # noqa: E402
-    LEVELS,
-    SAFE_PUBLIC_ID,
-    forbidden_release_imports,
-    normalized_d4_sha256,
-    primitive_calls,
-    purity_violations,
-    scan_value_strings,
-    sha256_bytes,
-    sha256_file,
-    top_level_parameters,
-)
-from contracts import normalized_grammar_hash, top_level_literals  # noqa: E402
-from runtime import (  # noqa: E402
-    execute_program,
-    mask_delta,
-    render_geometry,
-    render_views,
-    validate_candidate,
-)
-from schema import (  # noqa: E402
-    ANCHOR_ONLY_PARENT_IDS,
-    APPROVED_REPRESENTATION_COUNT,
-    CORE_ROW_COLUMNS,
-    CORE_ROW_COUNT,
-    DEPTH_ELIGIBLE_COUNT,
-    DEPTH_ROW_COLUMNS,
-    DEPTH_SCHEMA_VERSION,
-    EXPECTED_SPLIT_COUNTS,
-    FREEZE_SCHEMA_VERSION,
-    FROZEN_LOGICAL_RELEASE_SHA256,
-    GEOMETRY_STATE_COUNT,
-    MANIFEST_SCHEMA_VERSION,
-    PROHIBITED_EVIDENCE_KEY_PARTS,
-    DepthSchemaError,
-    build_freeze,
-    build_manifest,
-    canonical_sha256,
-    depth_features,
-    logical_release_sha256,
-    validate_depth_population,
-    verify_checksums,
-)
-
-
-class DepthValidationError(RuntimeError):
-    """Raised when a published depth-v1 invariant does not hold."""
-
-
-def _validate_frozen_logical_release(
-    manifest: Mapping[str, Any],
-    rows: Sequence[Mapping[str, Any]],
-) -> None:
-    stored_digest = manifest.get("logical_release_sha256")
-    if stored_digest != FROZEN_LOGICAL_RELEASE_SHA256:
-        raise DepthValidationError(
-            "manifest logical release digest differs from frozen depth-v1"
-        )
-    try:
-        observed_digest = logical_release_sha256(rows)
-    except DepthSchemaError as exc:
-        raise DepthValidationError(str(exc)) from exc
-    if observed_digest != FROZEN_LOGICAL_RELEASE_SHA256:
-        raise DepthValidationError(
-            "recomputed logical release digest differs from frozen depth-v1"
-        )
-
-
-def _read_json_object(path: Path) -> dict[str, Any]:
-    if not path.is_file():
-        raise DepthValidationError(f"required JSON file is missing: {path}")
-    try:
-        value = json.loads(path.read_text(encoding="utf-8"))
-    except (OSError, UnicodeDecodeError, json.JSONDecodeError) as exc:
-        raise DepthValidationError(f"invalid JSON file: {path}") from exc
-    if not isinstance(value, dict):
-        raise DepthValidationError(f"JSON root must be an object: {path}")
-    return value
-
-
-def _json_value(row_id: str, field: str, value: Any) -> Any:
-    if not isinstance(value, str):
-        raise DepthValidationError(f"{row_id}: {field} is not JSON text")
-    try:
-        return json.loads(value)
-    except json.JSONDecodeError as exc:
-        raise DepthValidationError(f"{row_id}: malformed {field}") from exc
-
-
-def _json_object(row_id: str, field: str, value: Any) -> dict[str, Any]:
-    parsed = _json_value(row_id, field, value)
-    if not isinstance(parsed, dict):
-        raise DepthValidationError(f"{row_id}: {field} must encode an object")
-    return parsed
-
-
-def _reject_control_keys(value: Any, *, label: str) -> None:
-    if isinstance(value, Mapping):
-        for key, child in value.items():
-            lowered = str(key).lower()
-            if any(part in lowered for part in PROHIBITED_EVIDENCE_KEY_PARTS):
-                raise DepthValidationError(
-                    f"{label}: forbidden public control key {key!r}"
-                )
-            _reject_control_keys(child, label=label)
-    elif isinstance(value, list):
-        for child in value:
-            _reject_control_keys(child, label=label)
-
-
-def _embedded_png(
-    row_id: str,
-    field: str,
-    value: Any,
-    expected_sha256: Any,
-) -> tuple[bytes, Image.Image]:
-    if not isinstance(value, dict) or not value.get("bytes"):
-        raise DepthValidationError(f"{row_id}: {field} is not embedded")
-    payload = bytes(value["bytes"])
-    if sha256_bytes(payload) != expected_sha256:
-        raise DepthValidationError(f"{row_id}: {field} hash mismatch")
-    try:
-        with Image.open(io.BytesIO(payload)) as opened:
-            opened.verify()
-        image = Image.open(io.BytesIO(payload)).convert("L")
-    except OSError as exc:
-        raise DepthValidationError(f"{row_id}: invalid {field} PNG") from exc
-    extrema = image.getextrema()
-    if extrema[0] == extrema[1]:
-        raise DepthValidationError(f"{row_id}: blank {field}")
-    return payload, image
-
-
-def _literal_map(code: str) -> dict[str, Any]:
-    return {
-        assignment.name: assignment.value for assignment in top_level_literals(code)
-    }
-
-
-def _json_normalize(value: Any) -> Any:
-    return json.loads(
-        json.dumps(
-            value,
-            sort_keys=True,
-            separators=(",", ":"),
-            ensure_ascii=True,
-            allow_nan=False,
-        )
-    )
-
-
-def _validate_parameter_payload(
-    row_id: str,
-    code: str,
-    payload: Mapping[str, Any],
-    *,
-    anchor_payload: Mapping[str, Any] | None = None,
-) -> None:
-    if set(payload) != {"fixed_context", "parameters"}:
-        raise DepthValidationError(
-            f"{row_id}: parameters_json must contain exactly "
-            "fixed_context and parameters"
-        )
-    fixed_context = payload.get("fixed_context")
-    parameters = payload.get("parameters")
-    if not isinstance(fixed_context, dict) or not isinstance(parameters, dict):
-        raise DepthValidationError(f"{row_id}: malformed parameters_json sections")
-    live_values = _json_normalize(top_level_parameters(code))
-    missing = sorted(set(parameters) - set(live_values))
-    if missing:
-        raise DepthValidationError(
-            f"{row_id}: declared parameters absent from code: {missing}"
-        )
-    observed = {name: live_values[name] for name in parameters}
-    if parameters != observed:
-        raise DepthValidationError(
-            f"{row_id}: declared parameter values differ from code"
-        )
-    if anchor_payload is None:
-        return
-    if set(anchor_payload) != {"fixed_context", "parameters"}:
-        raise DepthValidationError(f"{row_id}: parent parameter contract is malformed")
-    anchor_fixed = anchor_payload.get("fixed_context")
-    anchor_parameters = anchor_payload.get("parameters")
-    if not isinstance(anchor_fixed, dict) or not isinstance(anchor_parameters, dict):
-        raise DepthValidationError(
-            f"{row_id}: parent parameter contract sections are malformed"
-        )
-    if fixed_context != anchor_fixed:
-        raise DepthValidationError(f"{row_id}: fixed_context differs from parent")
-    if set(parameters) != set(anchor_parameters):
-        raise DepthValidationError(
-            f"{row_id}: declared parameter keys differ from parent"
-        )
-
-
-def _validate_row_static(row: Mapping[str, Any]) -> dict[str, Any]:
-    row_id = str(row.get("id", ""))
-    if not row_id or SAFE_PUBLIC_ID.fullmatch(row_id) is None:
-        raise DepthValidationError(f"unsafe or empty row ID: {row_id!r}")
-    hits = scan_value_strings(row_id, row)
-    if hits:
-        raise DepthValidationError("; ".join(hits))
-    if tuple(row) != DEPTH_ROW_COLUMNS:
-        raise DepthValidationError(f"{row_id}: depth column order drift")
-    if row["depth_schema_version"] != DEPTH_SCHEMA_VERSION:
-        raise DepthValidationError(f"{row_id}: depth schema version drift")
-    if row["code_language"] != "python":
-        raise DepthValidationError(f"{row_id}: code_language must be python")
-
-    code = row["code"]
-    if not isinstance(code, str):
-        raise DepthValidationError(f"{row_id}: code is not text")
-    try:
-        compile(code, f"{row_id}/ground_truth.py", "exec")
-    except SyntaxError as exc:
-        raise DepthValidationError(f"{row_id}: code does not compile: {exc}") from exc
-    violations = purity_violations(code)
-    if violations:
-        raise DepthValidationError(f"{row_id}: purity violations: {violations}")
-    forbidden = forbidden_release_imports(code)
-    if forbidden:
-        raise DepthValidationError(f"{row_id}: forbidden imports: {forbidden}")
-    if sha256_bytes(code.encode("utf-8")) != row["code_sha256"]:
-        raise DepthValidationError(f"{row_id}: code hash mismatch")
-    observed_calls = primitive_calls(code)
-    if observed_calls != row["primitive_calls"]:
-        raise DepthValidationError(f"{row_id}: primitive call inventory drift")
-
-    parsed = {
-        "port_signature_json": _json_value(
-            row_id,
-            "port_signature_json",
-            row["port_signature_json"],
-        ),
-        "parameters_json": _json_object(
-            row_id,
-            "parameters_json",
-            row["parameters_json"],
-        ),
-        "topology_json": _json_value(
-            row_id,
-            "topology_json",
-            row["topology_json"],
-        ),
-        "metadata_json": _json_value(
-            row_id,
-            "metadata_json",
-            row["metadata_json"],
-        ),
-        "parameter_delta_json": _json_object(
-            row_id,
-            "parameter_delta_json",
-            row["parameter_delta_json"],
-        ),
-        "verification_evidence_json": _json_object(
-            row_id,
-            "verification_evidence_json",
-            row["verification_evidence_json"],
-        ),
-    }
-    _reject_control_keys(
-        parsed["verification_evidence_json"],
-        label=f"{row_id}/verification_evidence_json",
-    )
-    _validate_parameter_payload(row_id, code, parsed["parameters_json"])
-
-    footprint = row["footprint_um"]
-    if (
-        not isinstance(footprint, list)
-        or len(footprint) != 2
-        or any(
-            isinstance(value, bool)
-            or not isinstance(value, (int, float))
-            or not math.isfinite(float(value))
-            or float(value) <= 0
-            for value in footprint
-        )
-    ):
-        raise DepthValidationError(f"{row_id}: invalid footprint")
-
-    _image_bytes, image = _embedded_png(
-        row_id,
-        "image",
-        row["image"],
-        row["image_sha256"],
-    )
-    _embedded_png(
-        row_id,
-        "target_image",
-        row["target_image"],
-        row["target_image_sha256"],
-    )
-    if normalized_d4_sha256(image) != row["normalized_d4_sha256"]:
-        raise DepthValidationError(f"{row_id}: normalized D4 witness mismatch")
-    return parsed
-
-
-def _core_parquet_paths(dataset_root: Path) -> list[Path]:
-    paths: list[Path] = []
-    for level in LEVELS:
-        matches = sorted((dataset_root / "data" / level).glob("train-*.parquet"))
-        if len(matches) != 1:
-            raise DepthValidationError(
-                f"{level}: expected one core-v1 shard, found {len(matches)}"
-            )
-        paths.append(matches[0])
-    return paths
-
-
-def _load_frozen_core(
-    dataset_root: Path,
-    *,
-    expected_digest: str,
-) -> tuple[list[dict[str, Any]], dict[str, Any]]:
-    freeze = _read_json_object(dataset_root / "factory" / "core-v1" / "freeze.json")
-    if freeze.get("release_digest_sha256") != expected_digest:
-        raise DepthValidationError("depth parent digest differs from frozen core-v1")
-    references = freeze.get("reference_artifacts")
-    if not isinstance(references, dict) or not references:
-        raise DepthValidationError("core-v1 freeze has no reference artifact map")
-    for relative, digest in sorted(references.items()):
-        path = dataset_root / relative
-        if not path.is_file() or sha256_file(path) != digest:
-            raise DepthValidationError(f"frozen core-v1 artifact drift: {relative}")
-
-    rows: list[dict[str, Any]] = []
-    for path in _core_parquet_paths(dataset_root):
-        table = pq.read_table(path)
-        if tuple(table.schema.names) != CORE_ROW_COLUMNS:
-            raise DepthValidationError(f"core schema drift: {path}")
-        rows.extend(table.to_pylist())
-    if len(rows) != CORE_ROW_COUNT:
-        raise DepthValidationError(f"core-v1 row count {len(rows)} != {CORE_ROW_COUNT}")
-    if len({str(row["id"]) for row in rows}) != len(rows):
-        raise DepthValidationError("core-v1 row IDs are not unique")
-    return rows, freeze
-
-
-def _load_depth_shards(
-    release_root: Path,
-    manifest: Mapping[str, Any],
-) -> tuple[list[dict[str, Any]], dict[str, list[dict[str, Any]]]]:
-    raw_shards = manifest.get("shards")
-    if not isinstance(raw_shards, list) or not raw_shards:
-        raise DepthValidationError("manifest has no shard records")
-    expected_paths: set[str] = set()
-    rows_by_split: dict[str, list[dict[str, Any]]] = {
-        "train": [],
-        "validation": [],
-    }
-    expected_schema = depth_features().arrow_schema
-    for record in raw_shards:
-        if not isinstance(record, dict):
-            raise DepthValidationError("manifest shard record is malformed")
-        split = str(record.get("split", ""))
-        relative = str(record.get("path", ""))
-        if split not in rows_by_split:
-            raise DepthValidationError(f"unknown shard split: {split!r}")
-        raw_path = Path(relative)
-        if (
-            not relative
-            or raw_path.is_absolute()
-            or ".." in raw_path.parts
-            or raw_path.parent != Path("data")
-            or raw_path.suffix != ".parquet"
-            or relative in expected_paths
-        ):
-            raise DepthValidationError(f"unsafe or repeated shard path: {relative!r}")
-        expected_paths.add(relative)
-        path = release_root / raw_path
-        if not path.is_file():
-            raise DepthValidationError(f"manifest shard is missing: {relative}")
-        if path.stat().st_size != record.get("bytes"):
-            raise DepthValidationError(f"{relative}: byte size differs from manifest")
-        if sha256_file(path) != record.get("sha256"):
-            raise DepthValidationError(f"{relative}: hash differs from manifest")
-        table = pq.read_table(path)
-        _validate_arrow_schema(relative, table.schema, expected_schema)
-        shard_rows = table.to_pylist()
-        if len(shard_rows) != record.get("rows"):
-            raise DepthValidationError(f"{relative}: row count differs from manifest")
-        rows_by_split[split].extend(shard_rows)
-
-    actual_paths = {
-        path.relative_to(release_root).as_posix()
-        for path in (release_root / "data").glob("*.parquet")
-    }
-    if actual_paths != expected_paths:
-        raise DepthValidationError(
-            "Parquet inventory differs from manifest: "
-            f"missing={sorted(expected_paths - actual_paths)}, "
-            f"extra={sorted(actual_paths - expected_paths)}"
-        )
-    for split, expected in EXPECTED_SPLIT_COUNTS.items():
-        if len(rows_by_split[split]) != expected:
-            raise DepthValidationError(
-                f"{split}: {len(rows_by_split[split])} rows != {expected}"
-            )
-    return [
-        *rows_by_split["train"],
-        *rows_by_split["validation"],
-    ], rows_by_split
-
-
-def _validate_arrow_schema(
-    relative: str,
-    actual_schema: Any,
-    expected_schema: Any,
-) -> None:
-    if not actual_schema.equals(expected_schema, check_metadata=False):
-        raise DepthValidationError(f"{relative}: Arrow schema differs")
-    expected_huggingface = (expected_schema.metadata or {}).get(b"huggingface")
-    actual_huggingface = (actual_schema.metadata or {}).get(b"huggingface")
-    if (
-        expected_huggingface is None
-        or actual_huggingface != expected_huggingface
-    ):
-        raise DepthValidationError(
-            f"{relative}: Hugging Face feature metadata differs"
-        )
-
-
-def _validate_controlled_relationship(
-    row: Mapping[str, Any],
-    anchor: Mapping[str, Any],
-    *,
-    parsed_delta: Mapping[str, Any],
-    evidence: Mapping[str, Any],
-) -> None:
-    row_id = str(row["id"])
-    if row["leakage_group_id"] != anchor["leakage_group_id"]:
-        raise DepthValidationError(f"{row_id}: leakage_group_id differs from parent")
-    _validate_parameter_payload(
-        row_id,
-        str(row["code"]),
-        _json_object(row_id, "parameters_json", row["parameters_json"]),
-        anchor_payload=_json_object(
-            str(anchor["id"]),
-            "parameters_json",
-            anchor["parameters_json"],
-        ),
-    )
-    controlled = list(row["controlled_axes"])
-    if not controlled:
-        raise DepthValidationError(f"{row_id}: controlled row has no axes")
-    changes = parsed_delta.get("changes")
-    if not isinstance(changes, dict) or set(changes) != set(controlled):
-        raise DepthValidationError(
-            f"{row_id}: delta changes differ from controlled_axes"
-        )
-
-    before = _literal_map(str(anchor["code"]))
-    after = _literal_map(str(row["code"]))
-    if before.keys() != after.keys():
-        raise DepthValidationError(f"{row_id}: top-level literal set changed")
-    for name, record in changes.items():
-        if name not in before or not isinstance(record, dict):
-            raise DepthValidationError(f"{row_id}: malformed delta for {name}")
-        if record.get("before") != before[name] or record.get("after") != after[name]:
-            raise DepthValidationError(f"{row_id}: delta witness differs for {name}")
-        if before[name] == after[name]:
-            raise DepthValidationError(f"{row_id}: controlled axis {name} is a no-op")
-
-    derived = parsed_delta.get("derived_updates", [])
-    if not isinstance(derived, list) or any(
-        not isinstance(name, str) or name not in before for name in derived
-    ):
-        raise DepthValidationError(f"{row_id}: malformed derived update list")
-    expected_changed = set(controlled)
-    expected_changed.update(
-        name for name in derived if before.get(name) != after.get(name)
-    )
-    observed_changed = {name for name in before if before[name] != after[name]}
-    if observed_changed != expected_changed:
-        raise DepthValidationError(
-            f"{row_id}: literal delta changed unapproved fields "
-            f"{sorted(observed_changed ^ expected_changed)}"
-        )
-
-    anchor_hash = normalized_grammar_hash(str(anchor["code"]))
-    candidate_hash = normalized_grammar_hash(str(row["code"]))
-    if anchor_hash != candidate_hash:
-        raise DepthValidationError(f"{row_id}: normalized source grammar changed")
-    if evidence.get("normalized_grammar_hash") != anchor_hash:
-        raise DepthValidationError(f"{row_id}: recorded grammar hash differs")
-    model_signal = evidence.get("model_input_signal")
-    if (
-        not isinstance(model_signal, dict)
-        or not isinstance(model_signal.get("footprint_changed"), bool)
-        or (
-            model_signal.get("normalized_changed_fraction") is not None
-            and not isinstance(
-                model_signal.get("normalized_changed_fraction"),
-                (int, float),
-            )
-        )
-    ):
-        raise DepthValidationError(f"{row_id}: malformed model-input evidence")
-    if primitive_calls(str(row["code"])) != primitive_calls(str(anchor["code"])):
-        raise DepthValidationError(f"{row_id}: primitive API set differs from parent")
-
-
-def _validate_core_relationships(
-    rows: Sequence[Mapping[str, Any]],
-    core_rows: Sequence[Mapping[str, Any]],
-) -> dict[str, Mapping[str, Any]]:
-    core_by_id = {str(row["id"]): row for row in core_rows}
-    semantic_by_grammar: dict[str, Mapping[str, Any]] = {}
-    for core in core_rows:
-        if core["variation_role"] != "semantic":
-            continue
-        grammar_id = str(core["grammar_id"])
-        if grammar_id in semantic_by_grammar:
-            raise DepthValidationError(
-                f"{grammar_id}: more than one semantic core anchor"
-            )
-        semantic_by_grammar[grammar_id] = core
-    if len(semantic_by_grammar) != APPROVED_REPRESENTATION_COUNT:
-        raise DepthValidationError(
-            "frozen core does not contain 547 semantic representations"
-        )
-    anchor_by_id = {
-        str(anchor["id"]): anchor for anchor in semantic_by_grammar.values()
-    }
-
-    wrapped = [row for row in rows if int(row["realization_slot"]) in {-1, 0}]
-    if len(wrapped) != CORE_ROW_COUNT:
-        raise DepthValidationError("depth release does not embed all 738 core rows")
-    if {str(row["id"]) for row in wrapped} != set(core_by_id):
-        raise DepthValidationError("embedded core ID inventory differs from core-v1")
-    for row in wrapped:
-        core = core_by_id[str(row["id"])]
-        differences = [
-            column for column in CORE_ROW_COLUMNS if row[column] != core[column]
-        ]
-        if differences:
-            raise DepthValidationError(
-                f"{row['id']}: embedded core payload drift: {differences}"
-            )
-
-    for row in rows:
-        row_id = str(row["id"])
-        parent_id = str(row["parent_core_id"])
-        anchor = anchor_by_id.get(parent_id)
-        if anchor is None:
-            raise DepthValidationError(f"{row_id}: unknown semantic parent {parent_id}")
-        if row["parent_code_sha256"] != anchor["code_sha256"]:
-            raise DepthValidationError(f"{row_id}: parent code hash differs")
-        if row["grammar_id"] != anchor["grammar_id"]:
-            raise DepthValidationError(f"{row_id}: grammar differs from parent")
-        if row["representation_id"] != anchor["representation_id"]:
-            raise DepthValidationError(f"{row_id}: representation differs from parent")
-        if row["leakage_group_id"] != anchor["leakage_group_id"]:
-            raise DepthValidationError(
-                f"{row_id}: leakage_group_id differs from parent"
-            )
-        slot = int(row["realization_slot"])
-        if slot <= 0:
-            if row["controlled_axes"]:
-                raise DepthValidationError(f"{row_id}: core row has controlled axes")
-            continue
-        expected_id = f"{parent_id}__depth_r{slot:02d}"
-        if row_id != expected_id:
-            raise DepthValidationError(
-                f"{row_id}: controlled row ID should be {expected_id}"
-            )
-        if row["variation_role"] != "controlled_realization":
-            raise DepthValidationError(f"{row_id}: controlled row variation_role drift")
-        parsed_delta = _json_object(
-            row_id,
-            "parameter_delta_json",
-            row["parameter_delta_json"],
-        )
-        evidence = _json_object(
-            row_id,
-            "verification_evidence_json",
-            row["verification_evidence_json"],
-        )
-        _validate_controlled_relationship(
-            row,
-            anchor,
-            parsed_delta=parsed_delta,
-            evidence=evidence,
-        )
-    return anchor_by_id
-
-
-def _verify_freeze_and_manifests(
-    release_root: Path,
-    dataset_root: Path,
-    manifest: Mapping[str, Any],
-    rows: Sequence[Mapping[str, Any]],
-    anchors: Mapping[str, Mapping[str, Any]],
-) -> dict[str, set[str]]:
-    if manifest.get("schema_version") != MANIFEST_SCHEMA_VERSION:
-        raise DepthValidationError("manifest schema version drift")
-    expected_manifest = build_manifest(
-        rows,
-        shards=manifest.get("shards", []),
-        depth_generator_version=str(manifest.get("depth_generator_version", "")),
-        expected_parent_core_digest_sha256=str(
-            manifest.get("parent_core_digest_sha256", "")
-        ),
-    )
-    if dict(manifest) != expected_manifest:
-        raise DepthValidationError("manifest differs from recomputed population")
-
-    freeze = _read_json_object(release_root / "factory" / "freeze.json")
-    if freeze.get("schema_version") != FREEZE_SCHEMA_VERSION:
-        raise DepthValidationError("freeze schema version drift")
-    references = freeze.get("reference_artifacts")
-    if not isinstance(references, dict) or not references:
-        raise DepthValidationError("depth freeze has no reference artifact map")
-    rebuilt_freeze = build_freeze(
-        release_root,
-        manifest,
-        manifest_path="metadata/manifest.json",
-        reference_paths=sorted(references),
-    )
-    if freeze != rebuilt_freeze:
-        raise DepthValidationError("depth freeze differs from referenced artifacts")
-
-    core_snapshot = _read_json_object(
-        release_root / "factory" / "core_reference_snapshot.json"
-    )
-    if core_snapshot.get("core_digest_sha256") != manifest.get(
-        "parent_core_digest_sha256"
-    ):
-        raise DepthValidationError("core reference snapshot digest differs")
-    core_freeze = _read_json_object(
-        dataset_root / "factory" / "core-v1" / "freeze.json"
-    )
-    if core_snapshot.get("reference_artifacts") != core_freeze.get(
-        "reference_artifacts"
-    ):
-        raise DepthValidationError("core reference snapshot is incomplete or changed")
-
-    anchor_manifest = _read_json_object(
-        release_root / "factory" / "anchor_manifest.json"
-    )
-    if anchor_manifest.get("core_digest_sha256") != manifest.get(
-        "parent_core_digest_sha256"
-    ):
-        raise DepthValidationError("anchor manifest core digest differs")
-    grammar_catalog = dataset_root / "factory" / "core-v1" / "grammar_catalog.json"
-    if anchor_manifest.get("core_grammar_catalog_sha256") != sha256_file(
-        grammar_catalog
-    ):
-        raise DepthValidationError("anchor manifest grammar catalog hash differs")
-    expected_anchors = [
-        {
-            "code_sha256": anchor["code_sha256"],
-            "grammar_id": anchor["grammar_id"],
-            "id": anchor["id"],
-            "image_sha256": anchor["image_sha256"],
-            "level": anchor["level"],
-        }
-        for anchor in sorted(
-            anchors.values(),
-            key=lambda item: (str(item["level"]), str(item["id"])),
-        )
-    ]
-    if (
-        anchor_manifest.get("representation_count") != APPROVED_REPRESENTATION_COUNT
-        or anchor_manifest.get("anchors") != expected_anchors
-    ):
-        raise DepthValidationError("anchor manifest differs from frozen core anchors")
-
-    accepted = _read_json_object(release_root / "factory" / "accepted_manifest.json")
-    expected_accepted_rows = [
-        {
-            "code_sha256": row["code_sha256"],
-            "geometry_id": row["geometry_id"],
-            "grammar_id": row["grammar_id"],
-            "id": row["id"],
-            "image_sha256": row["image_sha256"],
-            "logical_row_sha256": row["logical_row_sha256"],
-            "realization_id": row["realization_id"],
-            "split_role": row["split_role"],
-            "target_image_sha256": row["target_image_sha256"],
-        }
-        for row in sorted(rows, key=lambda item: str(item["id"]))
-    ]
-    if (
-        accepted.get("accepted_only") is not True
-        or accepted.get("generator_version") != manifest.get("depth_generator_version")
-        or accepted.get("row_count") != len(rows)
-        or accepted.get("rows") != expected_accepted_rows
-    ):
-        raise DepthValidationError("accepted manifest differs from Parquet rows")
-
-    plans = _read_json_object(release_root / "factory" / "generation_plan.json")
-    plan_records = plans.get("plans")
-    if (
-        plans.get("generator_version") != manifest.get("depth_generator_version")
-        or plans.get("geometry_states_per_complete_representation")
-        != GEOMETRY_STATE_COUNT
-        or plans.get("representation_count") != APPROVED_REPRESENTATION_COUNT
-        or plans.get("anchor_representation_count")
-        != APPROVED_REPRESENTATION_COUNT
-        or plans.get("complete_depth_representation_count")
-        != DEPTH_ELIGIBLE_COUNT
-        or plans.get("anchor_only_representation_count")
-        != len(ANCHOR_ONLY_PARENT_IDS)
-        or plans.get("anchor_only_parent_ids")
-        != sorted(ANCHOR_ONLY_PARENT_IDS)
-        or not isinstance(plan_records, list)
-        or len(plan_records) != APPROVED_REPRESENTATION_COUNT
-    ):
-        raise DepthValidationError("generation plan population differs")
-    plans_by_parent: dict[str, list[dict[str, Any]]] = {}
-    controlled_by_parent = {
-        (str(row["parent_core_id"]), str(row["realization_id"])): row
-        for row in rows
-        if int(row["realization_slot"]) > 0
-    }
-    for plan in plan_records:
-        if not isinstance(plan, dict):
-            raise DepthValidationError("malformed generation plan")
-        parent_id = str(plan.get("anchor_id", ""))
-        anchor = anchors.get(parent_id)
-        states = plan.get("states")
-        expected_state_count = (
-            0
-            if parent_id in ANCHOR_ONLY_PARENT_IDS
-            else GEOMETRY_STATE_COUNT - 1
-        )
-        if (
-            anchor is None
-            or parent_id in plans_by_parent
-            or plan.get("grammar_id") != anchor["grammar_id"]
-            or plan.get("level") != anchor["level"]
-            or not isinstance(states, list)
-            or len(states) != expected_state_count
-        ):
-            raise DepthValidationError(f"{parent_id}: generation plan differs")
-        plans_by_parent[parent_id] = states
-        for state in states:
-            if not isinstance(state, dict):
-                raise DepthValidationError(f"{parent_id}: malformed plan state")
-            axis_ids = state.get("axis_ids")
-            if (
-                not isinstance(axis_ids, list)
-                or not axis_ids
-                or any(
-                    not isinstance(axis_id, str) or not axis_id for axis_id in axis_ids
-                )
-            ):
-                raise DepthValidationError(f"{parent_id}: malformed plan axis IDs")
-            row = controlled_by_parent.get(
-                (parent_id, str(state.get("realization_id", "")))
-            )
-            if row is None:
-                raise DepthValidationError(f"{parent_id}: plan state has no row")
-            expected_state = {
-                "axis_ids": state.get("axis_ids"),
-                "code_sha256": row["code_sha256"],
-                "controlled_axes": row["controlled_axes"],
-                "geometry_id": row["geometry_id"],
-                "image_sha256": row["image_sha256"],
-                "parameter_delta": json.loads(row["parameter_delta_json"]),
-                "realization_id": row["realization_id"],
-                "target_image_sha256": row["target_image_sha256"],
-                "verification_evidence_sha256": canonical_sha256(
-                    json.loads(row["verification_evidence_json"])
-                ),
-            }
-            if state != expected_state:
-                raise DepthValidationError(
-                    f"{row['id']}: generation plan state differs"
-                )
-    if set(plans_by_parent) != set(anchors):
-        raise DepthValidationError("generation plan parent inventory differs")
-
-    contracts = _read_json_object(release_root / "factory" / "variation_contracts.json")
-    contract_records = contracts.get("contracts")
-    if (
-        contracts.get("generator_version") != manifest.get("depth_generator_version")
-        or contracts.get("representation_count") != APPROVED_REPRESENTATION_COUNT
-        or contracts.get("anchor_representation_count")
-        != APPROVED_REPRESENTATION_COUNT
-        or contracts.get("complete_depth_representation_count")
-        != DEPTH_ELIGIBLE_COUNT
-        or contracts.get("anchor_only_representation_count")
-        != len(ANCHOR_ONLY_PARENT_IDS)
-        or contracts.get("anchor_only_parent_ids")
-        != sorted(ANCHOR_ONLY_PARENT_IDS)
-        or not isinstance(contract_records, list)
-        or len(contract_records) != APPROVED_REPRESENTATION_COUNT
-    ):
-        raise DepthValidationError("variation contract population differs")
-    seen_contracts: set[str] = set()
-    qualified_by_anchor: dict[str, set[str]] = {}
-    repeat_names_by_anchor: dict[str, set[str]] = {}
-    for contract in contract_records:
-        if not isinstance(contract, dict):
-            raise DepthValidationError("malformed variation contract")
-        anchor_id = str(contract.get("anchor_id", ""))
-        anchor = anchors.get(anchor_id)
-        if anchor is None or anchor_id in seen_contracts:
-            raise DepthValidationError(f"unknown/repeated contract: {anchor_id}")
-        seen_contracts.add(anchor_id)
-        if contract.get("grammar_id") != anchor["grammar_id"] or contract.get(
-            "source_grammar_hash"
-        ) != normalized_grammar_hash(str(anchor["code"])):
-            raise DepthValidationError(f"{anchor_id}: contract grammar hash differs")
-        axes = contract.get("axes")
-        qualified = contract.get("qualified_axis_ids")
-        assignments = contract.get("assignments")
-        expected_qualified_empty = anchor_id in ANCHOR_ONLY_PARENT_IDS
-        if (
-            not isinstance(axes, list)
-            or not isinstance(qualified, list)
-            or (not qualified) != expected_qualified_empty
-            or not isinstance(assignments, list)
-            or not set(qualified).issubset(
-                {
-                    str(axis.get("axis_id", ""))
-                    for axis in axes
-                    if isinstance(axis, dict)
-                }
-            )
-        ):
-            raise DepthValidationError(f"{anchor_id}: qualified axes are malformed")
-        qualified_by_anchor[anchor_id] = set(map(str, qualified))
-        repeat_names_by_anchor[anchor_id] = {
-            str(assignment.get("name", ""))
-            for assignment in assignments
-            if isinstance(assignment, dict)
-            and assignment.get("parameter_class") == "realization_repeat_count"
-        }
-    if seen_contracts != set(anchors):
-        raise DepthValidationError("variation contract parent inventory differs")
-    for anchor_id, states in plans_by_parent.items():
-        qualified = qualified_by_anchor[anchor_id]
-        for state in states:
-            if not set(map(str, state["axis_ids"])).issubset(qualified):
-                raise DepthValidationError(
-                    f"{anchor_id}: plan uses an unqualified parameter axis"
-                )
-
-    catalog = _read_json_object(release_root / "metadata" / "catalog.json")
-    level_counts = dict(sorted(Counter(str(row["level"]) for row in rows).items()))
-    if (
-        catalog.get("accepted_only") is not True
-        or catalog.get("columns") != list(DEPTH_ROW_COLUMNS)
-        or catalog.get("generator_version") != manifest.get("depth_generator_version")
-        or catalog.get("level_counts") != level_counts
-        or catalog.get("row_count") != len(rows)
-        or catalog.get("representation_count") != len(anchors)
-        or catalog.get("anchor_representation_count") != len(anchors)
-        or catalog.get("complete_depth_representation_count")
-        != DEPTH_ELIGIBLE_COUNT
-        or catalog.get("anchor_only_representation_count")
-        != len(ANCHOR_ONLY_PARENT_IDS)
-        or catalog.get("anchor_only_parent_ids")
-        != sorted(ANCHOR_ONLY_PARENT_IDS)
-        or catalog.get("logical_release_sha256") != logical_release_sha256(rows)
-        or catalog.get("split_counts") != manifest.get("split_counts")
-    ):
-        raise DepthValidationError("metadata catalog differs from release")
-    audit = _read_json_object(release_root / "metadata" / "audit_report.json")
-    controlled_counts = Counter(axis for row in rows for axis in row["controlled_axes"])
-    transform_counts = Counter(str(row["transform_kind"]) for row in rows)
-    expected_verification_keys = {
-        "all_controlled_programs_compiled_and_pure",
-        "all_controlled_programs_executed",
-        "all_controlled_source_grammars_preserved",
-        "all_geometry_changes_have_input_signal",
-        "all_ports_attached_and_signature_preserved",
-        "all_representation_ids_come_from_core_v1",
-    }
-    audit_verification = audit.get("verification")
-    if (
-        audit.get("accepted_only") is not True
-        or audit.get("controlled_axis_counts")
-        != dict(sorted(controlled_counts.items()))
-        or audit.get("geometry_states_per_complete_representation")
-        != GEOMETRY_STATE_COUNT
-        or audit.get("row_count") != len(rows)
-        or audit.get("representation_count") != len(anchors)
-        or audit.get("anchor_representation_count") != len(anchors)
-        or audit.get("complete_depth_representation_count")
-        != DEPTH_ELIGIBLE_COUNT
-        or audit.get("anchor_only_representation_count")
-        != len(ANCHOR_ONLY_PARENT_IDS)
-        or audit.get("anchor_only_parent_ids")
-        != sorted(ANCHOR_ONLY_PARENT_IDS)
-        or audit.get("transform_counts") != dict(sorted(transform_counts.items()))
-        or audit.get("logical_release_sha256") != manifest.get("logical_release_sha256")
-        or audit.get("core_reference_match") is not True
-        or not isinstance(audit_verification, dict)
-        or set(audit_verification) != expected_verification_keys
-        or any(value is not True for value in audit_verification.values())
-    ):
-        raise DepthValidationError("audit report differs from release")
-
-    gallery = _read_json_object(release_root / "metadata" / "gallery_manifest.json")
-    gallery_pages = gallery.get("pages")
-    if (
-        gallery.get("anchor_representation_count")
-        != APPROVED_REPRESENTATION_COUNT
-        or gallery.get("progression_representation_count")
-        != DEPTH_ELIGIBLE_COUNT
-        or gallery.get("anchor_only_parent_ids")
-        != sorted(ANCHOR_ONLY_PARENT_IDS)
-        or gallery.get("state_slots")
-        != [f"r{slot:02d}" for slot in range(GEOMETRY_STATE_COUNT)]
-        or not isinstance(gallery_pages, list)
-        or gallery.get("progression_page_count") != len(gallery_pages)
-    ):
-        raise DepthValidationError("gallery manifest population differs")
-    if gallery.get("overview") != "galleries/overview.png":
-        raise DepthValidationError("gallery overview path differs")
-    gallery_paths = [str(gallery["overview"])]
-    seen_gallery_grammars: set[str] = set()
-    for page in gallery_pages:
-        if not isinstance(page, dict):
-            raise DepthValidationError("malformed gallery page record")
-        gallery_paths.append(str(page.get("path", "")))
-        grammar_ids = page.get("representation_ids")
-        level = page.get("level")
-        if (
-            not isinstance(grammar_ids, list)
-            or any(not isinstance(grammar_id, str) for grammar_id in grammar_ids)
-            or len(grammar_ids) != len(set(grammar_ids))
-            or bool(set(grammar_ids) & seen_gallery_grammars)
-            or not isinstance(level, str)
-            or level.lower() not in LEVELS
-        ):
-            raise DepthValidationError("gallery grammar inventory is malformed")
-        expected_level_ids = {
-            str(anchor["grammar_id"])
-            for parent_id, anchor in anchors.items()
-            if parent_id not in ANCHOR_ONLY_PARENT_IDS
-            and anchor["level"] == level
-        }
-        if not set(grammar_ids).issubset(expected_level_ids):
-            raise DepthValidationError("gallery page mixes representation levels")
-        seen_gallery_grammars.update(grammar_ids)
-    expected_gallery_grammars = {
-        str(anchor["grammar_id"])
-        for parent_id, anchor in anchors.items()
-        if parent_id not in ANCHOR_ONLY_PARENT_IDS
-    }
-    if seen_gallery_grammars != expected_gallery_grammars:
-        raise DepthValidationError(
-            "progression gallery does not cover every complete-depth representation"
-        )
-    for relative in gallery_paths:
-        raw = Path(relative)
-        if (
-            not relative
-            or raw.is_absolute()
-            or ".." in raw.parts
-            or not (release_root / raw).is_file()
-        ):
-            raise DepthValidationError(f"missing or unsafe gallery path: {relative}")
-    actual_progression_paths = {
-        path.relative_to(release_root).as_posix()
-        for path in (release_root / "galleries" / "progressions").glob("*.png")
-    }
-    expected_progression_paths = set(gallery_paths[1:])
-    if actual_progression_paths != expected_progression_paths:
-        raise DepthValidationError(
-            "progression gallery file inventory differs: "
-            f"missing={sorted(expected_progression_paths - actual_progression_paths)}, "
-            f"extra={sorted(actual_progression_paths - expected_progression_paths)}"
-        )
-
-    for path in sorted(
-        [
-            *(release_root / "factory").glob("*.json"),
-            *(release_root / "metadata").glob("*.json"),
-        ]
-    ):
-        _reject_control_keys(_read_json_object(path), label=path.name)
-    return repeat_names_by_anchor
-
-
-def _close(left: float, right: float, *, tolerance: float = 0.0021) -> bool:
-    return math.isclose(left, right, rel_tol=0.0, abs_tol=tolerance)
-
-
-def _runtime_port_signature(
-    row_id: str,
-    signature: Any,
-    runtime: Mapping[str, Any],
-) -> None:
-    ports = runtime["ports"]
-    if isinstance(signature, str):
-        lowered = signature.lower()
-        if lowered in {"none", "0"}:
-            expected_count = 0
-        else:
-            pieces = lowered.split("x")
-            try:
-                expected_count = (
-                    int(pieces[0]) + int(pieces[1]) if len(pieces) == 2 else None
-                )
-            except ValueError:
-                expected_count = None
-        if expected_count is None:
-            raise DepthValidationError(f"{row_id}: unrecognized legacy port signature")
-        if expected_count != len(ports):
-            raise DepthValidationError(f"{row_id}: runtime port count differs")
-        return
-    if not isinstance(signature, Mapping):
-        raise DepthValidationError(f"{row_id}: malformed port signature")
-    # Frozen core-v1 uses an empty object when a curriculum row did not declare
-    # a port contract. It means "unspecified", not "expect zero"; controlled
-    # depth rows always carry the complete count/names/geometry witness below.
-    if not signature:
-        return
-    if signature.get("count") != len(ports):
-        raise DepthValidationError(f"{row_id}: runtime port count differs")
-    names = signature.get("names")
-    if isinstance(names, list) and list(names) != [str(port["name"]) for port in ports]:
-        raise DepthValidationError(f"{row_id}: runtime port names differ")
-    expected_ports = signature.get("ports")
-    if not isinstance(expected_ports, list):
-        return
-    if len(expected_ports) != len(ports):
-        raise DepthValidationError(f"{row_id}: runtime port records differ")
-    for expected, observed in zip(expected_ports, ports, strict=True):
-        if not isinstance(expected, dict):
-            raise DepthValidationError(f"{row_id}: malformed port record")
-        if (
-            str(expected.get("name")) != str(observed["name"])
-            or not _close(float(expected.get("width", -1)), float(observed["width"]))
-            or not _close(
-                float(expected.get("orientation", -1000)),
-                float(observed["orientation"]),
-                tolerance=1e-6,
-            )
-        ):
-            raise DepthValidationError(f"{row_id}: runtime port record differs")
-        center = expected.get("center")
-        if (
-            not isinstance(center, list)
-            or len(center) != 2
-            or any(
-                not _close(float(left), float(right))
-                for left, right in zip(center, observed["center"], strict=True)
-            )
-        ):
-            raise DepthValidationError(f"{row_id}: runtime port center differs")
-
-
-def _changes_repeat_count(
-    row: Mapping[str, Any],
-    repeat_names_by_anchor: Mapping[str, set[str]],
-) -> bool:
-    parent_id = str(row["parent_core_id"])
-    return bool(
-        set(map(str, row["controlled_axes"]))
-        & repeat_names_by_anchor.get(parent_id, set())
-    )
-
-
-def _validate_repeated_element_counts(
-    rows: Sequence[Mapping[str, Any]],
-    repeat_names_by_anchor: Mapping[str, set[str]],
-) -> None:
-    """Bind every changed repeat-count literal to emitted polygon evidence."""
-
-    for row in rows:
-        if int(row["realization_slot"]) <= 0 or not _changes_repeat_count(
-            row,
-            repeat_names_by_anchor,
-        ):
-            continue
-        row_id = str(row["id"])
-        repeat_names = repeat_names_by_anchor[str(row["parent_core_id"])]
-        values = _literal_map(str(row["code"]))
-        counts: dict[str, int] = {}
-        for name in sorted(repeat_names):
-            value = values.get(name)
-            if isinstance(value, bool) or not isinstance(value, int) or value < 1:
-                raise DepthValidationError(
-                    f"{row_id}: {name} repeat count is not a positive integer"
-                )
-            counts[name] = value
-        expected = math.prod(counts.values())
-        evidence = _json_object(
-            row_id,
-            "verification_evidence_json",
-            row["verification_evidence_json"],
-        )
-        metrics = evidence.get("runtime_structural_metrics")
-        observed = (
-            metrics.get("polygon_count") if isinstance(metrics, Mapping) else None
-        )
-        if (
-            isinstance(observed, bool)
-            or not isinstance(observed, int)
-            or observed != expected
-        ):
-            raise DepthValidationError(
-                f"{row_id}: repeat-count geometry witness differs: "
-                f"counts={counts}, expected_polygons={expected}, "
-                f"observed_polygons={observed!r}"
-            )
-
-
-def _validate_runtime_port_evidence(
-    row_id: str,
-    evidence: Mapping[str, Any],
-    port_gate: Any,
-) -> None:
-    if evidence.get("port_count") != port_gate.port_count:
-        raise DepthValidationError(f"{row_id}: runtime port evidence differs")
-    if (
-        evidence.get("port_orientation_side_histogram")
-        != port_gate.orientation_side_histogram
-    ):
-        raise DepthValidationError(f"{row_id}: runtime port histogram differs")
-    expected_witnesses = [asdict(witness) for witness in port_gate.witnesses]
-    if evidence.get("port_witnesses") != expected_witnesses:
-        raise DepthValidationError(f"{row_id}: runtime port witnesses differ")
-
-
-def _execute_rows(
-    rows: Sequence[Mapping[str, Any]],
-    anchors: Mapping[str, Mapping[str, Any]],
-    repeat_names_by_anchor: Mapping[str, set[str]],
-) -> None:
-    runtimes: dict[str, dict[str, Any]] = {}
-
-    def runtime_for(row: Mapping[str, Any]) -> dict[str, Any]:
-        digest = str(row["code_sha256"])
-        if digest not in runtimes:
-            runtimes[digest] = execute_program(
-                str(row["code"]),
-                isolation="in_process",
-            )
-        return runtimes[digest]
-
-    for index, row in enumerate(rows, start=1):
-        row_id = str(row["id"])
-        runtime = runtime_for(row)
-        spans = runtime["bbox_span_um"]
-        if any(
-            not _close(float(expected), float(observed))
-            for expected, observed in zip(row["footprint_um"], spans, strict=True)
-        ):
-            raise DepthValidationError(f"{row_id}: runtime footprint differs")
-        signature = _json_value(
-            row_id,
-            "port_signature_json",
-            row["port_signature_json"],
-        )
-        _runtime_port_signature(row_id, signature, runtime)
-
-        if int(row["realization_slot"]) > 0:
-            parent_id = str(row["parent_core_id"])
-            anchor = anchors[parent_id]
-            anchor_runtime = runtime_for(anchor)
-            changes_repeat_count = _changes_repeat_count(
-                row,
-                repeat_names_by_anchor,
-            )
-            report = validate_candidate(
-                anchor_runtime,
-                runtime,
-                minimum_changed_fraction=0.002,
-                maximum_changed_fraction=1.0,
-                require_same_connected_components=not changes_repeat_count,
-                require_same_holes=not changes_repeat_count,
-                require_bbox_edge_ports=str(row["level"]) == "L4",
-            )
-            if not report.passed:
-                raise DepthValidationError(
-                    f"{row_id}: runtime candidate gate failed: {report.errors}"
-                )
-            evidence = _json_object(
-                row_id,
-                "verification_evidence_json",
-                row["verification_evidence_json"],
-            )
-            if evidence.get("runtime_structural_metrics") != runtime.get(
-                "structural_metrics"
-            ):
-                raise DepthValidationError(
-                    f"{row_id}: runtime structural evidence differs"
-                )
-            if evidence.get("mask_delta") != asdict(report.mask_delta):
-                raise DepthValidationError(f"{row_id}: runtime mask evidence differs")
-            anchor_footprint = tuple(
-                float(value) for value in anchor_runtime["bbox_span_um"]
-            )
-            candidate_footprint = tuple(
-                float(value) for value in runtime["bbox_span_um"]
-            )
-            footprint_changed = any(
-                not math.isclose(before, after, rel_tol=0.0, abs_tol=1e-9)
-                for before, after in zip(
-                    anchor_footprint,
-                    candidate_footprint,
-                    strict=True,
-                )
-            )
-            normalized_changed_fraction: float | None = None
-            if not footprint_changed:
-                normalized_changed_fraction = mask_delta(
-                    render_geometry(
-                        anchor_runtime,
-                        mode="maximum_visibility",
-                    ).png_bytes,
-                    render_geometry(
-                        runtime,
-                        mode="maximum_visibility",
-                    ).png_bytes,
-                ).changed_fraction
-                if normalized_changed_fraction < 0.002:
-                    raise DepthValidationError(
-                        f"{row_id}: model input has no visible signal"
-                    )
-            if evidence.get("model_input_signal") != {
-                "footprint_changed": footprint_changed,
-                "normalized_changed_fraction": normalized_changed_fraction,
-            }:
-                raise DepthValidationError(
-                    f"{row_id}: model-input evidence differs"
-                )
-            _validate_runtime_port_evidence(row_id, evidence, report.port_gate)
-            views = render_views(runtime)
-            if (
-                sha256_bytes(views["maximum_visibility"].png_bytes)
-                != row["image_sha256"]
-                or sha256_bytes(views["physical_aspect"].png_bytes)
-                != row["target_image_sha256"]
-            ):
-                raise DepthValidationError(
-                    f"{row_id}: runtime render differs from embedded image"
-                )
-        if index % 100 == 0 or index == len(rows):
-            print(
-                f"depth-v1 execution: {index}/{len(rows)} programs checked",
-                flush=True,
-            )
-
-
-def validate_release(
-    release_root: Path,
-    dataset_root: Path,
-    *,
-    execute_programs: bool = False,
-) -> dict[str, Any]:
-    release_root = release_root.expanduser().resolve()
-    dataset_root = dataset_root.expanduser().resolve()
-    if not release_root.is_dir():
-        raise DepthValidationError(f"depth release root is missing: {release_root}")
-    if not dataset_root.is_dir():
-        raise DepthValidationError(f"dataset root is missing: {dataset_root}")
-
-    try:
-        verify_checksums(release_root)
-    except DepthSchemaError as exc:
-        raise DepthValidationError(str(exc)) from exc
-    manifest = _read_json_object(release_root / "metadata" / "manifest.json")
-    expected_parent_digest = str(manifest.get("parent_core_digest_sha256", ""))
-    core_rows, _core_freeze = _load_frozen_core(
-        dataset_root,
-        expected_digest=expected_parent_digest,
-    )
-    rows, rows_by_split = _load_depth_shards(release_root, manifest)
-    for row in rows:
-        _validate_row_static(row)
-    _validate_frozen_logical_release(manifest, rows)
-    try:
-        population = validate_depth_population(
-            rows,
-            expected_parent_core_digest_sha256=expected_parent_digest,
-        )
-    except DepthSchemaError as exc:
-        raise DepthValidationError(str(exc)) from exc
-    for split, split_rows in rows_by_split.items():
-        for row in split_rows:
-            expected = (
-                "train"
-                if int(row["realization_slot"]) in {-1, 0, 1, 2, 3, 4, 5}
-                else "validation"
-            )
-            if split != expected:
-                raise DepthValidationError(
-                    f"{row['id']}: stored in {split}, expected {expected}"
-                )
-
-    anchors = _validate_core_relationships(rows, core_rows)
-    repeat_names_by_anchor = _verify_freeze_and_manifests(
-        release_root,
-        dataset_root,
-        manifest,
-        rows,
-        anchors,
-    )
-    _validate_repeated_element_counts(rows, repeat_names_by_anchor)
-    if execute_programs:
-        _execute_rows(rows, anchors, repeat_names_by_anchor)
-
-    return {
-        **population,
-        "checksums_verified": True,
-        "core_payloads_verified": CORE_ROW_COUNT,
-        "executed_programs": len(rows) if execute_programs else 0,
-        "logical_release_sha256": manifest["logical_release_sha256"],
-        "manifest_verified": True,
-        "shard_count": len(manifest["shards"]),
-    }
-
-
-def main() -> None:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument(
-        "--release-root",
-        type=Path,
-        default=DEPTH_ROOT,
-        help="Built depth-v1 release root.",
-    )
-    parser.add_argument(
-        "--dataset-root",
-        type=Path,
-        default=DATASET_ROOT,
-        help="PixCell dataset root containing frozen core-v1.",
-    )
-    parser.add_argument(
-        "--execute-programs",
-        action="store_true",
-        help="Execute all programs and recheck runtime/raster evidence.",
-    )
-    args = parser.parse_args()
-    report = validate_release(
-        args.release_root,
-        args.dataset_root,
-        execute_programs=args.execute_programs,
-    )
-    print(json.dumps(report, indent=2, sort_keys=True))
-
-
-if __name__ == "__main__":
-    main()
diff --git a/depth-v1/tests/test_build.py b/depth-v1/tests/test_build.py
deleted file mode 100644
index be1d5ee3e2ea5414a3431fd5251fff84e3634654..0000000000000000000000000000000000000000
--- a/depth-v1/tests/test_build.py
+++ /dev/null
@@ -1,584 +0,0 @@
-"""Focused tests for the depth-v1 all-anchor qualification barrier."""
-
-from __future__ import annotations
-
-import sys
-from pathlib import Path
-from types import SimpleNamespace
-
-import pytest
-
-
-ROOT = Path(__file__).resolve().parents[1]
-SCRIPTS = ROOT / "scripts"
-sys.path.insert(0, str(SCRIPTS))
-
-import build  # noqa: E402
-
-
-def _complete(anchor_id: str) -> build._PreparedAnchor:
-    return build._PreparedAnchor(
-        anchor_id=anchor_id,
-        grammar_id=f"grammar/{anchor_id}",
-        contract_record={},
-        plan_record={},
-        descendants=tuple({} for _ in range(7)),
-        outcome="complete",
-    )
-
-
-def _anchor_only(anchor_id: str, *, stage: str = "axis_qualification"):
-    failure = build._QualificationFailure(
-        anchor_id=anchor_id,
-        grammar_id=f"grammar/{anchor_id}",
-        stage=stage,
-        reason=f"{anchor_id} failed",
-    )
-    return build._PreparedAnchor(
-        anchor_id=anchor_id,
-        grammar_id=f"grammar/{anchor_id}",
-        contract_record={},
-        plan_record={},
-        descendants=(),
-        outcome="anchor_only",
-        failure=failure,
-    )
-
-
-def _fatal(anchor_id: str) -> build._PreparedAnchor:
-    failure = build._QualificationFailure(
-        anchor_id=anchor_id,
-        grammar_id=f"grammar/{anchor_id}",
-        stage="anchor_runtime",
-        reason=f"{anchor_id} failed fatally",
-    )
-    return build._PreparedAnchor(
-        anchor_id=anchor_id,
-        grammar_id=f"grammar/{anchor_id}",
-        contract_record=None,
-        plan_record=None,
-        descendants=(),
-        outcome="fatal",
-        failure=failure,
-    )
-
-
-def _write_frozen_fixture(root: Path, *, payload: bytes = b"frozen") -> None:
-    manifest_path = root / "metadata" / "manifest.json"
-    artifact_path = root / "factory" / "accepted_manifest.json"
-    manifest_path.parent.mkdir(parents=True, exist_ok=True)
-    artifact_path.parent.mkdir(parents=True, exist_ok=True)
-    manifest_path.write_bytes(payload + b"/manifest")
-    artifact_path.write_bytes(payload + b"/artifact")
-    freeze = {
-        "logical_release_sha256": build.FROZEN_LOGICAL_RELEASE_SHA256,
-        "manifest": {
-            "path": "metadata/manifest.json",
-            "sha256": build.depth_sha256_file(manifest_path),
-        },
-        "reference_artifacts": {
-            "factory/accepted_manifest.json": build.depth_sha256_file(
-                artifact_path
-            ),
-        },
-    }
-    build.write_json(root / "factory" / "freeze.json", freeze)
-
-
-def _core_freeze_fixture() -> dict:
-    return {
-        "reference_artifacts": {
-            "data/l0/train.parquet": "0" * 64,
-            "galleries/all.png": "1" * 64,
-            "metadata/catalog.json": "2" * 64,
-        },
-    }
-
-
-def test_prepared_anchor_rejects_partial_descendant_groups() -> None:
-    with pytest.raises(ValueError, match="seven rows"):
-        build._PreparedAnchor(
-            anchor_id="partial",
-            grammar_id="grammar/partial",
-            contract_record={},
-            plan_record={},
-            descendants=({},),
-            outcome="complete",
-        )
-    with pytest.raises(ValueError, match="retained partial rows"):
-        build._PreparedAnchor(
-            anchor_id="failed",
-            grammar_id="grammar/failed",
-            contract_record={},
-            plan_record={},
-            descendants=({},),
-            outcome="anchor_only",
-            failure=build._QualificationFailure(
-                anchor_id="failed",
-                grammar_id="grammar/failed",
-                stage="schedule_r04",
-                reason="no candidate",
-            ),
-        )
-
-
-def test_frozen_logical_release_assertion_rejects_drift() -> None:
-    build._assert_frozen_logical_release(
-        {
-            "logical_release_sha256": (
-                build.FROZEN_LOGICAL_RELEASE_SHA256
-            ),
-        }
-    )
-    with pytest.raises(build.DepthBuildError, match="logical release digest"):
-        build._assert_frozen_logical_release(
-            {"logical_release_sha256": "0" * 64}
-        )
-
-
-def test_frozen_replay_guard_accepts_an_exact_replay(tmp_path: Path) -> None:
-    output = tmp_path / "output"
-    stage = tmp_path / "stage"
-    _write_frozen_fixture(output)
-    _write_frozen_fixture(stage)
-    build._assert_frozen_replay(stage, output)
-
-
-def test_frozen_replay_guard_rejects_freeze_object_drift(
-    tmp_path: Path,
-) -> None:
-    output = tmp_path / "output"
-    stage = tmp_path / "stage"
-    _write_frozen_fixture(output)
-    _write_frozen_fixture(stage)
-    staged_freeze = build._load_freeze(
-        stage / "factory" / "freeze.json",
-        label="test",
-    )
-    staged_freeze["logical_release_sha256"] = "0" * 64
-    build.write_json(stage / "factory" / "freeze.json", staged_freeze)
-    with pytest.raises(build.DepthBuildError, match="freeze object differs"):
-        build._assert_frozen_replay(stage, output)
-
-
-def test_frozen_replay_guard_rejects_drift_without_touching_output(
-    tmp_path: Path,
-) -> None:
-    output = tmp_path / "output"
-    stage = tmp_path / "stage"
-    _write_frozen_fixture(output)
-    _write_frozen_fixture(stage)
-    sentinel = output / "keep.txt"
-    sentinel.write_bytes(b"committed release remains")
-    before = {
-        path.relative_to(output): path.read_bytes()
-        for path in output.rglob("*")
-        if path.is_file()
-    }
-    (stage / "factory" / "accepted_manifest.json").write_bytes(b"drift")
-
-    with pytest.raises(build.DepthBuildError, match="changed staged artifact"):
-        build._assert_frozen_replay(stage, output)
-
-    after = {
-        path.relative_to(output): path.read_bytes()
-        for path in output.rglob("*")
-        if path.is_file()
-    }
-    assert after == before
-    assert sentinel.read_bytes() == b"committed release remains"
-
-
-def test_gallery_reference_paths_include_every_progression_page() -> None:
-    manifest = {
-        "overview": "galleries/overview.png",
-        "pages": [
-            {"path": "galleries/progressions/l0-01.png"},
-            {"path": "galleries/progressions/l4-09.png"},
-        ],
-        "progression_page_count": 2,
-    }
-    assert build._gallery_reference_paths(manifest) == [
-        "galleries/overview.png",
-        "galleries/progressions/l0-01.png",
-        "galleries/progressions/l4-09.png",
-    ]
-
-
-def test_frozen_replay_rejects_progression_page_drift(tmp_path: Path) -> None:
-    output = tmp_path / "output"
-    stage = tmp_path / "stage"
-    relative = "galleries/progressions/l0-01.png"
-    for root in (output, stage):
-        _write_frozen_fixture(root)
-        page = root / relative
-        page.parent.mkdir(parents=True, exist_ok=True)
-        page.write_bytes(b"frozen progression")
-        freeze = build._load_freeze(
-            root / "factory" / "freeze.json",
-            label="test",
-        )
-        freeze["reference_artifacts"][relative] = build.depth_sha256_file(page)
-        build.write_json(root / "factory" / "freeze.json", freeze)
-
-    (stage / relative).write_bytes(b"drifted progression")
-    with pytest.raises(build.DepthBuildError, match="changed staged artifact"):
-        build._assert_frozen_replay(stage, output)
-
-
-@pytest.mark.parametrize(
-    "output_kind",
-    (
-        "equal",
-        "ancestor",
-        "inside_data",
-        "inside_galleries",
-        "inside_metadata",
-        "inside_core_factory",
-        "overlapping_factory_parent",
-    ),
-)
-def test_output_guard_rejects_dataset_and_frozen_core_overlaps(
-    tmp_path: Path,
-    output_kind: str,
-) -> None:
-    dataset_root = tmp_path / "checkout" / "dataset"
-    dataset_root.mkdir(parents=True)
-    outputs = {
-        "equal": dataset_root,
-        "ancestor": dataset_root.parent,
-        "inside_data": dataset_root / "data" / "depth-v1",
-        "inside_galleries": dataset_root / "galleries" / "depth-v1",
-        "inside_metadata": dataset_root / "metadata" / "depth-v1",
-        "inside_core_factory": (
-            dataset_root / "factory" / "core-v1" / "depth-v1"
-        ),
-        "overlapping_factory_parent": dataset_root / "factory",
-    }
-    with pytest.raises(build.DepthBuildError, match="output"):
-        build._assert_safe_output_path(
-            dataset_root,
-            outputs[output_kind],
-            _core_freeze_fixture(),
-        )
-
-
-def test_output_guard_accepts_disjoint_sibling_release(tmp_path: Path) -> None:
-    dataset_root = tmp_path / "checkout" / "dataset"
-    dataset_root.mkdir(parents=True)
-    build._assert_safe_output_path(
-        dataset_root,
-        dataset_root / "depth-v1",
-        _core_freeze_fixture(),
-    )
-
-
-def test_output_guard_resolves_symlink_aliases(
-    tmp_path: Path,
-) -> None:
-    dataset_root = tmp_path / "checkout" / "dataset"
-    protected = dataset_root / "data"
-    protected.mkdir(parents=True)
-    alias = tmp_path / "data-alias"
-    alias.symlink_to(protected, target_is_directory=True)
-    with pytest.raises(build.DepthBuildError, match="overlaps"):
-        build._assert_safe_output_path(
-            dataset_root,
-            alias / "depth-v1",
-            _core_freeze_fixture(),
-        )
-
-
-def test_inventory_barrier_aggregates_all_failure_kinds() -> None:
-    prepared = [_complete(f"anchor-{index:03d}") for index in range(544)]
-    prepared.extend(
-        (
-            _complete("expected-anchor-only"),
-            _anchor_only("unexpected-anchor-only", stage="schedule_r06"),
-            _fatal("fatal-anchor"),
-        )
-    )
-    with pytest.raises(build.DepthBuildError) as caught:
-        build._assert_frozen_qualification_inventory(
-            prepared,
-            expected_anchor_only=frozenset({"expected-anchor-only"}),
-        )
-    message = str(caught.value)
-    assert "unexpected-anchor-only" in message
-    assert "schedule_r06" in message
-    assert "expected-anchor-only" in message
-    assert "fatal-anchor" in message
-    assert "anchor_runtime" in message
-
-
-def test_inventory_barrier_accepts_one_exact_frozen_inventory() -> None:
-    prepared = [_complete(f"anchor-{index:03d}") for index in range(546)]
-    prepared.append(_anchor_only("frozen-anchor-only"))
-    build._assert_frozen_qualification_inventory(
-        prepared,
-        expected_anchor_only=frozenset({"frozen-anchor-only"}),
-    )
-
-
-def test_prepare_all_anchors_does_not_stop_at_an_unschedulable_anchor(
-    monkeypatch: pytest.MonkeyPatch,
-) -> None:
-    anchors = [
-        {"id": f"anchor-{index:03d}", "grammar_id": f"grammar-{index:03d}"}
-        for index in range(build.APPROVED_REPRESENTATION_COUNT)
-    ]
-    visited: list[str] = []
-
-    def prepare(anchor, *, grammar_index):
-        assert grammar_index == len(visited)
-        anchor_id = str(anchor["id"])
-        visited.append(anchor_id)
-        if grammar_index in {2, 401}:
-            return _anchor_only(anchor_id)
-        return _complete(anchor_id)
-
-    monkeypatch.setattr(build, "_prepare_anchor", prepare)
-    prepared = build._prepare_all_anchors(anchors)
-    assert len(visited) == build.APPROVED_REPRESENTATION_COUNT
-    assert len(prepared) == build.APPROVED_REPRESENTATION_COUNT
-    assert [item.outcome for item in prepared].count("anchor_only") == 2
-
-
-def test_materialization_cache_reuses_success_and_failure(
-    monkeypatch: pytest.MonkeyPatch,
-) -> None:
-    anchor = {"code": "length_um = 10.0\n"}
-    success_calls = 0
-
-    def succeed(*args, **kwargs):
-        nonlocal success_calls
-        success_calls += 1
-        return "code", {}, object(), {}, False
-
-    monkeypatch.setattr(build, "_materialize", succeed)
-    cache: build._MaterializationCache = {}
-    for _ in range(2):
-        updates, *_ = build._try_materialize(
-            anchor,
-            {},
-            {"length_um": 8.2},
-            anchor_model_png=b"anchor",
-            cache=cache,
-        )
-        assert updates == {"length_um": 8.2}
-    assert success_calls == 1
-
-    failure_calls = 0
-
-    def fail(*args, **kwargs):
-        nonlocal failure_calls
-        failure_calls += 1
-        raise build.DepthBuildError("rejected")
-
-    monkeypatch.setattr(build, "_materialize", fail)
-    failure_cache: build._MaterializationCache = {}
-    with pytest.raises(build.DepthBuildError, match="rejected"):
-        build._try_materialize(
-            anchor,
-            {},
-            {"length_um": 8.2},
-            anchor_model_png=b"anchor",
-            cache=failure_cache,
-        )
-    first_failure_calls = failure_calls
-    assert first_failure_calls > 1
-    with pytest.raises(build.DepthBuildError, match="rejected"):
-        build._try_materialize(
-            anchor,
-            {},
-            {"length_um": 8.2},
-            anchor_model_png=b"anchor",
-            cache=failure_cache,
-        )
-    assert failure_calls == first_failure_calls
-
-
-@pytest.mark.parametrize(
-    ("derived_ports", "expected_executions"),
-    ((False, 1), (True, 2)),
-)
-def test_materialize_executes_once_without_derived_ports(
-    monkeypatch: pytest.MonkeyPatch,
-    derived_ports: bool,
-    expected_executions: int,
-) -> None:
-    literal_map = {"length_um": 10.0}
-    if derived_ports:
-        literal_map["optical_port_specs"] = []
-    executions = 0
-    candidate_runtime = {"bbox_span_um": [12.0, 2.0]}
-    anchor_runtime = {"bbox_span_um": [10.0, 2.0]}
-
-    def execute(*args, **kwargs):
-        nonlocal executions
-        executions += 1
-        return candidate_runtime
-
-    monkeypatch.setattr(build, "rewrite_parameters", lambda code, updates: code)
-    monkeypatch.setattr(build, "_semantic_relation_errors", lambda before, after: [])
-    monkeypatch.setattr(build, "_literal_map", lambda code: literal_map)
-    monkeypatch.setattr(build, "_rewrite_literals", lambda code, updates: code)
-    monkeypatch.setattr(build, "execute_program", execute)
-    monkeypatch.setattr(
-        build,
-        "derive_optical_port_specs",
-        lambda anchor, candidate: [],
-    )
-    monkeypatch.setattr(
-        build,
-        "_source_gate",
-        lambda before, after, expected_changed: {},
-    )
-    monkeypatch.setattr(
-        build,
-        "validate_candidate",
-        lambda anchor, candidate, **kwargs: SimpleNamespace(
-            passed=True,
-            errors=(),
-        ),
-    )
-
-    build._materialize(
-        {"code": "ignored", "level": "L0"},
-        anchor_runtime,
-        {"length_um": 12.0},
-        anchor_model_png=b"anchor",
-    )
-    assert executions == expected_executions
-
-
-def test_repeat_count_witness_binds_emitted_polygon_count() -> None:
-    code = "rows = 2\ncolumns = 3\n"
-    runtime = {"structural_metrics": {"polygon_count": 6}}
-    build._validate_repeated_element_count(
-        code,
-        runtime,
-        {"rows", "columns"},
-    )
-    runtime["structural_metrics"]["polygon_count"] = 5
-    with pytest.raises(build.DepthBuildError, match="geometry witness differs"):
-        build._validate_repeated_element_count(
-            code,
-            runtime,
-            {"rows", "columns"},
-        )
-
-
-def test_slot_failure_discards_all_previously_prepared_rows(
-    monkeypatch: pytest.MonkeyPatch,
-) -> None:
-    axis = build.ParameterAxis(
-        axis_id="axis/x",
-        names=("x",),
-        parameter_class="realization_continuous_dimension",
-        priority=0,
-        dependency_kind="independent",
-    )
-    contract = build.ParameterContract(
-        anchor_id="anchor",
-        grammar_id="grammar",
-        schedule_version="test",
-        source_grammar_hash="a" * 64,
-        assignments=(),
-        axes=(axis,),
-        reference_scale_um=1.0,
-        declared_parameter_names=("x",),
-    )
-    specs = tuple(
-        build.CandidateSpec(
-            slot=f"r{slot:02d}",
-            role="primary",
-            direction="high",
-            updates=(("x", slot),),
-            axis_ids=(axis.axis_id,),
-            factors=((axis.axis_id, 1.0),),
-            structural_count_deltas=(),
-            fallback=False,
-        )
-        for slot in range(1, 8)
-    )
-    anchor = {
-        "id": "anchor",
-        "grammar_id": "grammar",
-        "level": "L1",
-        "code": "x = 0\n",
-        "image_sha256": "anchor-image",
-        "instruction": "anchor-instruction",
-    }
-
-    monkeypatch.setattr(
-        build,
-        "execute_program",
-        lambda code, isolation: {"ports": []},
-    )
-    monkeypatch.setattr(
-        build,
-        "render_geometry",
-        lambda runtime, mode: SimpleNamespace(png_bytes=b"anchor"),
-    )
-    monkeypatch.setattr(
-        build,
-        "gate_ports",
-        lambda runtime, **kwargs: SimpleNamespace(passed=True, errors=()),
-    )
-    monkeypatch.setattr(build, "classify_parameters", lambda code, row: contract)
-    monkeypatch.setattr(build, "_coalesce_equal_shape_axes", lambda value: value)
-    monkeypatch.setattr(
-        build,
-        "_qualify_axes",
-        lambda *args, **kwargs: (axis,),
-    )
-    monkeypatch.setattr(build, "candidate_specs", lambda value: specs)
-    monkeypatch.setattr(build, "_literal_map", lambda code: {"x": 0})
-    monkeypatch.setattr(
-        build,
-        "_candidate_attempts",
-        lambda anchor_values, target: [dict(target)],
-    )
-
-    def materialize(anchor, anchor_runtime, updates, **kwargs):
-        value = int(updates["x"])
-        if value == 4:
-            return build._MaterializationFailure("slot four failed")
-        return build._MaterializationSuccess(
-            updates=(("x", value),),
-            code=f"x = {value}\n",
-            runtime={},
-            report=object(),
-            source_evidence={},
-            derived_ports=False,
-        )
-
-    monkeypatch.setattr(build, "_cached_materialization", materialize)
-
-    def descendant(anchor, *, slot, **kwargs):
-        return {
-            "image_sha256": f"image-{slot}",
-            "instruction": f"instruction-{slot}",
-            "code_sha256": f"code-{slot}",
-            "controlled_axes": ["x"],
-            "geometry_id": f"geometry-{slot}",
-            "parameter_delta_json": "{}",
-            "realization_id": f"r{slot:02d}",
-            "target_image_sha256": f"target-{slot}",
-            "verification_evidence_json": "{}",
-        }
-
-    monkeypatch.setattr(build, "_descendant_row", descendant)
-    prepared = build._prepare_anchor(anchor, grammar_index=0)
-    assert prepared.outcome == "anchor_only"
-    assert prepared.descendants == ()
-    assert prepared.plan_record == {
-        "anchor_id": "anchor",
-        "grammar_id": "grammar",
-        "level": "L1",
-        "states": [],
-    }
-    assert prepared.failure is not None
-    assert prepared.failure.stage == "schedule_r04"
-    assert prepared.failure.reason == "slot four failed"
diff --git a/depth-v1/tests/test_contracts.py b/depth-v1/tests/test_contracts.py
deleted file mode 100644
index 4fd0b24592bf77b2d5b18ab0904e48046527c4d4..0000000000000000000000000000000000000000
--- a/depth-v1/tests/test_contracts.py
+++ /dev/null
@@ -1,139 +0,0 @@
-"""Contract tests that do not execute or render dataset programs."""
-
-from __future__ import annotations
-
-import importlib.util
-import sys
-from pathlib import Path
-
-import pyarrow.parquet as pq
-
-
-DEPTH_ROOT = Path(__file__).resolve().parents[1]
-DATASET_ROOT = DEPTH_ROOT.parent
-MODULE_PATH = DEPTH_ROOT / "scripts" / "contracts.py"
-
-SPEC = importlib.util.spec_from_file_location("pixcell_depth_contracts", MODULE_PATH)
-assert SPEC is not None and SPEC.loader is not None
-contracts = importlib.util.module_from_spec(SPEC)
-sys.modules[SPEC.name] = contracts
-SPEC.loader.exec_module(contracts)
-
-
-def _semantic_rows() -> list[dict]:
-    columns = [
-        "id",
-        "grammar_id",
-        "variation_role",
-        "code",
-        "parameters_json",
-        "footprint_um",
-    ]
-    rows: list[dict] = []
-    for level in ("l0", "l1", "l2", "l3", "l4"):
-        path = DATASET_ROOT / "data" / level / "train-00000-of-00001.parquet"
-        rows.extend(
-            row
-            for row in pq.read_table(path, columns=columns).to_pylist()
-            if row["variation_role"] == "semantic"
-        )
-    return rows
-
-
-def test_rewrite_changes_only_named_top_level_literals() -> None:
-    code = """\
-import gdsfactory as gf
-
-width_um = 2.0
-count = 4
-layer = (1, 0)
-
-def device():
-    anonymous_width = 9.0
-    return gf.components.rectangle(size=(width_um, anonymous_width), layer=layer)
-"""
-    rewritten = contracts.rewrite_parameters(code, {"width_um": 2.5})
-    proof = contracts.prove_literal_rewrite(code, rewritten, {"width_um": 2.5})
-    assert proof["changed_names"] == ["width_um"]
-    assert proof["grammar_preserved"] is True
-    assert "anonymous_width = 9.0" in rewritten
-
-
-def test_one_axis_schedule_uses_bounded_fallbacks() -> None:
-    row = {
-        "id": "one-axis",
-        "grammar_id": "one-axis",
-        "variation_role": "semantic",
-        "parameters_json": '{"parameters":{"width_um":2.0}}',
-        "footprint_um": [20.0, 2.0],
-    }
-    contract = contracts.classify_parameters(
-        "width_um = 2.0\nlayer = (1, 0)\n", row
-    )
-    specs = contracts.candidate_specs(contract)
-    assert [spec.slot for spec in specs] == [
-        "r01",
-        "r02",
-        "r03",
-        "r04",
-        "r05",
-        "r06",
-        "r07",
-    ]
-    assert len({tuple(spec.updates) for spec in specs}) == 7
-    assert specs[2].fallback is True
-    assert specs[4].fallback is True
-
-
-def test_every_core_representation_has_a_proven_schedule() -> None:
-    report = contracts.audit_contracts(_semantic_rows())
-    assert report["semantic_anchors"] == 547
-    assert report["schedulable_anchors"] == 547
-    assert report["coverage"] == 1.0
-    assert report["rewrite_proofs"] == 547 * 7
-    assert report["unschedulable_anchors"] == []
-    assert report["parameter_class_histogram"]["realization_repeat_count"] == 6
-    assert report["effective_candidates"] == 547 * 7 - 2
-    assert report["no_effect_specs"] == [
-        {
-            "id": "l2_17_composite_cell_2d_array__s03__proposal_a",
-            "slot": "r03",
-        }
-    ]
-    assert report["duplicate_specs"] == [
-        {
-            "id": "l2_17_composite_cell_2d_array__s03__proposal_a",
-            "slot": "r05",
-            "duplicates_slot": "r01",
-        }
-    ]
-
-
-def test_portless_array_counts_are_integer_and_structurally_declared() -> None:
-    rows = {
-        row["grammar_id"]: row
-        for row in _semantic_rows()
-        if row["grammar_id"]
-        in {
-            "l2_17_composite_cell_2d_array__s01",
-            "l2_17_composite_cell_2d_array__s02",
-            "l2_17_composite_cell_2d_array__s03",
-        }
-    }
-    assert len(rows) == 3
-    for row in rows.values():
-        contract = contracts.classify_parameters(row["code"], row)
-        count_names = {
-            parameter.name
-            for parameter in contract.assignments
-            if parameter.parameter_class
-            == contracts.ParameterClass.REPEAT_COUNT.value
-        }
-        assert count_names == {"rows", "columns"}
-        for candidate in contracts.candidate_specs(contract):
-            updates = dict(candidate.updates)
-            deltas = dict(candidate.structural_count_deltas)
-            for name in count_names & updates.keys():
-                assert isinstance(updates[name], int)
-                assert updates[name] >= 2
-                assert deltas[name] in {-1, 0, 1}
diff --git a/depth-v1/tests/test_render_galleries.py b/depth-v1/tests/test_render_galleries.py
deleted file mode 100644
index cf68927ef0c5d4cc941e7f1603302f0c05c60662..0000000000000000000000000000000000000000
--- a/depth-v1/tests/test_render_galleries.py
+++ /dev/null
@@ -1,81 +0,0 @@
-"""Focused tests for depth-v1 gallery coverage schedules."""
-
-from __future__ import annotations
-
-import sys
-from pathlib import Path
-
-import pytest
-
-
-ROOT = Path(__file__).resolve().parents[1]
-SCRIPTS = ROOT / "scripts"
-sys.path.insert(0, str(SCRIPTS))
-
-from render_galleries import _state_rows  # noqa: E402
-from render_review_pack import _validate_output_path  # noqa: E402
-from schema import ANCHOR_ONLY_PARENT_IDS, GEOMETRY_STATE_COUNT  # noqa: E402
-
-
-ANCHOR_ONLY_ID = next(iter(ANCHOR_ONLY_PARENT_IDS))
-COMPLETE_ID = "l4_complete_test_representation"
-
-
-def _row(parent_id: str, slot: int) -> dict[str, object]:
-    return {
-        "grammar_id": parent_id,
-        "parent_core_id": parent_id,
-        "realization_slot": slot,
-    }
-
-
-def _valid_rows() -> list[dict[str, object]]:
-    return [
-        _row(ANCHOR_ONLY_ID, 0),
-        *(_row(COMPLETE_ID, slot) for slot in range(GEOMETRY_STATE_COUNT)),
-    ]
-
-
-def test_gallery_schedule_keeps_anchor_only_representation_in_overview() -> None:
-    grouped = _state_rows(_valid_rows())
-    assert set(grouped[ANCHOR_ONLY_ID]) == {0}
-    assert set(grouped[COMPLETE_ID]) == set(range(GEOMETRY_STATE_COUNT))
-
-
-def test_gallery_schedule_rejects_descendant_for_anchor_only_representation() -> None:
-    rows = [*_valid_rows(), _row(ANCHOR_ONLY_ID, 1)]
-    with pytest.raises(ValueError, match="invalid gallery state schedule"):
-        _state_rows(rows)
-
-
-def test_gallery_schedule_rejects_incomplete_depth_progression() -> None:
-    rows = [
-        row
-        for row in _valid_rows()
-        if not (
-            row["parent_core_id"] == COMPLETE_ID
-            and row["realization_slot"] == GEOMETRY_STATE_COUNT - 1
-        )
-    ]
-    with pytest.raises(ValueError, match="invalid gallery state schedule"):
-        _state_rows(rows)
-
-
-def test_review_pack_rejects_release_root_and_in_tree_aliases(
-    tmp_path: Path,
-) -> None:
-    worktree = (tmp_path / "PixCell").resolve()
-    root = worktree / "dataset" / "depth-v1"
-    _validate_output_path(root, (tmp_path / "review").resolve())
-
-    for unsafe in (
-        worktree,
-        worktree.parent,
-        root,
-        root.parent,
-        root / "data" / "review",
-        worktree / "dataset" / "data",
-        worktree / "dataset" / "metadata",
-    ):
-        with pytest.raises(ValueError, match="outside the PixCell worktree"):
-            _validate_output_path(root, unsafe)
diff --git a/depth-v1/tests/test_runtime.py b/depth-v1/tests/test_runtime.py
deleted file mode 100644
index 67d73139a7da60be06223a3b7aab1f22b132facc..0000000000000000000000000000000000000000
--- a/depth-v1/tests/test_runtime.py
+++ /dev/null
@@ -1,356 +0,0 @@
-from __future__ import annotations
-
-import copy
-import importlib.util
-import io
-import re
-import sys
-from pathlib import Path
-
-import pyarrow.parquet as pq
-import pytest
-from PIL import Image
-
-
-DATASET_ROOT = Path(__file__).resolve().parents[2]
-RUNTIME_PATH = DATASET_ROOT / "depth-v1" / "scripts" / "runtime.py"
-SPEC = importlib.util.spec_from_file_location("pixcell_depth_runtime", RUNTIME_PATH)
-assert SPEC is not None and SPEC.loader is not None
-runtime = importlib.util.module_from_spec(SPEC)
-sys.modules[SPEC.name] = runtime
-SPEC.loader.exec_module(runtime)
-
-
-REPRESENTATIVE_IDS = {
-    "l0": "l0_01_rectangle__semantic__square",
-    "l1": "l1_01_translate__a1__proposal_a",
-    "l2": "l2_01_mirrored_fixed_gap_pair__s01__proposal_b",
-    "l3": "l3_01_serial_heterogeneous_chain_s01",
-    "l4": "y_branch_smooth_1x2",
-}
-
-
-def _row(level: str, example_id: str) -> dict:
-    path = next((DATASET_ROOT / "data" / level).glob("train-*.parquet"))
-    rows = pq.read_table(path).to_pylist()
-    return next(row for row in rows if row["id"] == example_id)
-
-
-def _polygon(
-    exterior: list[list[float]],
-    *,
-    holes: list[list[list[float]]] | None = None,
-) -> dict:
-    return {
-        "layer": [1, 0],
-        "exterior": exterior,
-        "holes": holes or [],
-    }
-
-
-def _runtime_record(polygons: list[dict]) -> dict:
-    geometry = runtime._geometry_from_polygons(polygons)
-    min_x, min_y, max_x, max_y = geometry.bounds
-    bbox = [
-        [runtime._round_float(min_x), runtime._round_float(min_y)],
-        [runtime._round_float(max_x), runtime._round_float(max_y)],
-    ]
-    return {
-        "bbox_um": bbox,
-        "bbox_span_um": [
-            runtime._round_float(max_x - min_x),
-            runtime._round_float(max_y - min_y),
-        ],
-        "edge_material_intervals": runtime._edge_intervals_for_geometry(
-            geometry,
-            (min_x, min_y, max_x, max_y),
-        ),
-        "polygons": polygons,
-        "ports": [],
-        "structural_metrics": {
-            "primitive_call_histogram": {},
-            "reference_operation_histogram": {},
-            **runtime._geometry_metrics(geometry, polygons),
-        },
-    }
-
-
-@pytest.mark.parametrize("level", sorted(REPRESENTATIVE_IDS))
-def test_execution_rendering_and_port_gate_across_curriculum(level: str) -> None:
-    row = _row(level, REPRESENTATIVE_IDS[level])
-    result = runtime.execute_program(row["code"], isolation="in_process")
-
-    assert result["structural_metrics"]["polygon_count"] == len(result["polygons"])
-    assert result["structural_metrics"]["material_area_um2"] > 0
-    assert runtime.gate_ports(result).passed
-
-    views = runtime.render_views(
-        result,
-        maximum_canvas_px=(320, 320),
-        physical_long_edge_px=480,
-        margin_px=20,
-    )
-    assert views["maximum_visibility"].canvas_px == (320, 320)
-    physical_scale = views["physical_aspect"].scale_px_per_um
-    assert physical_scale[0] == physical_scale[1]
-    for view in views.values():
-        with Image.open(io.BytesIO(view.png_bytes)) as opened:
-            assert opened.mode == "L"
-            assert opened.getextrema() == (0, 255)
-
-
-def test_subprocess_execution_smoke() -> None:
-    row = _row("l0", REPRESENTATIVE_IDS["l0"])
-    result = runtime.execute_program(
-        row["code"],
-        isolation="subprocess",
-        timeout_seconds=30,
-    )
-    assert result["bbox_span_um"] == [22.0, 22.0]
-
-
-def test_rotated_reference_uses_material_not_instance_bbox() -> None:
-    row = _row("l0", "l0_04_cross__equivariance__medium_rot45")
-    result = runtime.execute_program(row["code"], isolation="in_process")
-    assert result["bbox_span_um"] == pytest.approx(row["footprint_um"], abs=0.0021)
-    assert result["bbox_span_um"][0] == pytest.approx(23.3345, abs=0.0021)
-
-
-def test_ring_runtime_reports_union_visible_hole() -> None:
-    row = _row("l0", "l0_03_ring__semantic__medium_wall")
-    result = runtime.execute_program(row["code"], isolation="in_process")
-    assert result["structural_metrics"]["hole_count"] == 1
-
-
-def test_tight_smoothed_path_ignores_subresolution_union_holes() -> None:
-    row = _row("l0", "l0_20_path_smooth__semantic__tight_corner")
-    result = runtime.execute_program(row["code"], isolation="in_process")
-    assert result["structural_metrics"]["hole_count"] == 0
-
-
-def test_hole_metric_uses_visible_area_floor() -> None:
-    subresolution = _runtime_record(
-        [
-            _polygon(
-                [[0, 0], [10, 0], [10, 10], [0, 10]],
-                holes=[
-                    [
-                        [4.999, 4.999],
-                        [4.999, 5.001],
-                        [5.001, 5.001],
-                        [5.001, 4.999],
-                    ]
-                ],
-            )
-        ]
-    )
-    assert subresolution["structural_metrics"]["hole_count"] == 0
-
-    visible = _runtime_record(
-        [
-            _polygon(
-                [[0, 0], [10, 0], [10, 10], [0, 10]],
-                holes=[
-                    [
-                        [4.99, 4.99],
-                        [4.99, 5.01],
-                        [5.01, 5.01],
-                        [5.01, 4.99],
-                    ]
-                ],
-            )
-        ]
-    )
-    assert visible["structural_metrics"]["hole_count"] == 1
-
-
-def test_union_metrics_count_created_and_filled_holes() -> None:
-    frame = [
-        _polygon([[0, 0], [10, 0], [10, 2], [0, 2]]),
-        _polygon([[0, 8], [10, 8], [10, 10], [0, 10]]),
-        _polygon([[0, 2], [2, 2], [2, 8], [0, 8]]),
-        _polygon([[8, 2], [10, 2], [10, 8], [8, 8]]),
-    ]
-    frame_record = _runtime_record(frame)
-    assert frame_record["structural_metrics"]["connected_component_count"] == 1
-    assert frame_record["structural_metrics"]["hole_count"] == 1
-
-    annulus_and_fill = [
-        _polygon(
-            [[0, 0], [10, 0], [10, 10], [0, 10]],
-            holes=[[[2, 2], [2, 8], [8, 8], [8, 2]]],
-        ),
-        _polygon([[2, 2], [8, 2], [8, 8], [2, 8]]),
-    ]
-    filled_record = _runtime_record(annulus_and_fill)
-    assert filled_record["structural_metrics"]["hole_count"] == 0
-
-
-def test_nonrepeat_candidate_cannot_change_visible_hole_count() -> None:
-    frame = [
-        _polygon([[0, 0], [10, 0], [10, 2], [0, 2]]),
-        _polygon([[0, 8], [10, 8], [10, 10], [0, 10]]),
-        _polygon([[0, 2], [2, 2], [2, 8], [0, 8]]),
-        _polygon([[8, 2], [10, 2], [10, 8], [8, 8]]),
-    ]
-    reference = _runtime_record(frame)
-    candidate = _runtime_record(
-        [*frame, _polygon([[2, 2], [8, 2], [8, 8], [2, 8]])]
-    )
-    report = runtime.validate_candidate(reference, candidate)
-    assert not report.passed
-    assert report.structural_deltas["hole_count"] == (1, 0)
-    assert runtime.validate_candidate(
-        reference,
-        candidate,
-        require_same_holes=False,
-    ).passed
-
-
-def test_polygon_only_material_bounds_ignore_zero_width_spike() -> None:
-    spike = _polygon(
-        [[0, 0], [2, 0], [2, 2], [1, 2], [1, 3], [1, 2], [0, 2]]
-    )
-    geometry = runtime._geometry_from_polygons([spike])
-    assert geometry.bounds == (0.0, 0.0, 2.0, 2.0)
-    assert geometry.area == pytest.approx(4.0)
-
-
-def test_runtime_record_rejects_bbox_not_bound_to_material() -> None:
-    record = _runtime_record(
-        [_polygon([[0, 0], [10, 0], [10, 2], [0, 2]])]
-    )
-    runtime._validate_runtime_record(record)
-    stale = copy.deepcopy(record)
-    stale["bbox_um"] = [[0.0, 0.0], [100.0, 100.0]]
-    stale["bbox_span_um"] = [100.0, 100.0]
-    with pytest.raises(runtime.RuntimeGateError, match="material polygon bounds"):
-        runtime._validate_runtime_record(stale)
-
-
-def test_shared_frame_delta_detects_controlled_parameter_change() -> None:
-    row = _row("l0", REPRESENTATIVE_IDS["l0"])
-    candidate_source = row["code"].replace(
-        "length_um = 22.0",
-        "length_um = 30.0",
-        1,
-    )
-    assert candidate_source != row["code"]
-    anchor = runtime.execute_program(row["code"], isolation="in_process")
-    candidate = runtime.execute_program(candidate_source, isolation="in_process")
-
-    delta = runtime.compare_masks(
-        anchor,
-        candidate,
-        mode="physical_aspect",
-        physical_long_edge_px=600,
-    )
-    assert 0.0 < delta.changed_fraction < 1.0
-    assert 0.0 < delta.iou < 1.0
-    assert runtime.validate_candidate(anchor, candidate).passed
-
-
-def test_renderer_preserves_islands_inside_another_polygons_hole() -> None:
-    annulus = {
-        "layer": [1, 0],
-        "exterior": [[0, 0], [10, 0], [10, 10], [0, 10]],
-        "holes": [[[2, 2], [2, 8], [8, 8], [8, 2]]],
-    }
-    island = {
-        "layer": [1, 0],
-        "exterior": [[4, 4], [6, 4], [6, 6], [4, 6]],
-        "holes": [],
-    }
-    record = _runtime_record([annulus, island])
-    rendered = runtime.render_geometry(
-        record,
-        mode="physical_aspect",
-        physical_long_edge_px=220,
-        margin_px=10,
-    )
-    mask = runtime.png_mask(rendered.png_bytes)
-    assert mask[mask.shape[0] // 2, mask.shape[1] // 2]
-    assert not mask[mask.shape[0] // 2, 70]
-
-    reversed_record = {**record, "polygons": list(reversed(record["polygons"]))}
-    reversed_render = runtime.render_geometry(
-        reversed_record,
-        mode="physical_aspect",
-        physical_long_edge_px=220,
-        margin_px=10,
-    )
-    assert reversed_render.png_bytes == rendered.png_bytes
-
-
-def test_boundary_derived_specs_round_trip_every_l4_anchor() -> None:
-    path = next((DATASET_ROOT / "data" / "l4").glob("train-*.parquet"))
-    rows = pq.read_table(path).to_pylist()
-    for row in rows:
-        result = runtime.execute_program(row["code"], isolation="in_process")
-        derived = runtime.derive_optical_port_specs(result, result)
-        observed = tuple(
-            (
-                port["name"],
-                tuple(port["center"]),
-                port["width"],
-                port["orientation"],
-            )
-            for port in result["ports"]
-        )
-        assert derived == observed, row["id"]
-
-
-def test_boundary_specs_repair_a_changed_l4_body() -> None:
-    row = _row("l4", REPRESENTATIVE_IDS["l4"])
-    anchor = runtime.execute_program(row["code"], isolation="in_process")
-    mutated_source = row["code"].replace(
-        "branch_length_um = 22.0",
-        "branch_length_um = 27.0",
-        1,
-    )
-    stale = runtime.execute_program(mutated_source, isolation="in_process")
-    assert not runtime.gate_ports(
-        stale,
-        reference=anchor,
-        require_bbox_edge=True,
-    ).passed
-
-    derived = runtime.derive_optical_port_specs(anchor, stale)
-    repaired_source = re.sub(
-        r"^optical_port_specs = .*$",
-        f"optical_port_specs = {derived!r}",
-        mutated_source,
-        count=1,
-        flags=re.MULTILINE,
-    )
-    repaired = runtime.execute_program(repaired_source, isolation="in_process")
-    assert runtime.gate_ports(
-        repaired,
-        reference=anchor,
-        require_bbox_edge=True,
-    ).passed
-    assert derived[1][1][0] == 50.0
-    assert derived[2][1][0] == 50.0
-
-
-def test_port_contact_gate_rejects_detached_terminal() -> None:
-    row = _row("l4", REPRESENTATIVE_IDS["l4"])
-    anchor = runtime.execute_program(row["code"], isolation="in_process")
-    detached = copy.deepcopy(anchor)
-    detached["ports"][0]["center"][1] += 50.0
-    report = runtime.gate_ports(detached, reference=anchor)
-    assert not report.passed
-    assert any("inward material fraction" in error for error in report.errors)
-
-
-def test_runtime_rejects_non_catalog_execution_import() -> None:
-    source = """
-import os
-import gdsfactory as gf
-
-@gf.cell(check_instances=False)
-def device():
-    return gf.components.rectangle(size=(10, 2))
-"""
-    with pytest.raises(runtime.RuntimeGateError, match="runtime import"):
-        runtime.execute_program(source, isolation="in_process")
diff --git a/depth-v1/tests/test_schema.py b/depth-v1/tests/test_schema.py
deleted file mode 100644
index c9c5ffa0debbb500032b0a03bc2eeb020727b780..0000000000000000000000000000000000000000
--- a/depth-v1/tests/test_schema.py
+++ /dev/null
@@ -1,313 +0,0 @@
-"""Focused regression tests for the isolated depth-v1 release schema."""
-
-from __future__ import annotations
-
-import hashlib
-import sys
-import tempfile
-import unittest
-from pathlib import Path
-
-
-ROOT = Path(__file__).resolve().parents[1]
-SCRIPTS = ROOT / "scripts"
-sys.path.insert(0, str(SCRIPTS))
-
-from schema import (  # noqa: E402
-    ANCHOR_ONLY_PARENT_IDS,
-    APPROVED_REPRESENTATION_COUNT,
-    CORE_EXTRA_ROW_COUNT,
-    CORE_ROW_COLUMNS,
-    CORE_SCHEMA_VERSION,
-    DEPTH_CONTROL_COLUMNS,
-    DEPTH_ROW_COLUMNS,
-    DEPTH_ROW_COUNT,
-    DEPTH_ELIGIBLE_COUNT,
-    DEPTH_SCHEMA_VERSION,
-    EXPECTED_SPLIT_COUNTS,
-    FROZEN_LOGICAL_RELEASE_SHA256,
-    MANIFEST_SCHEMA_VERSION,
-    DepthSchemaError,
-    bind_logical_row_sha256,
-    build_freeze,
-    build_manifest,
-    canonical_sha256,
-    depth_features,
-    logical_release_sha256,
-    logical_row_sha256,
-    plan_shards,
-    shard_filename,
-    validate_depth_population,
-    verify_checksums,
-    write_checksums,
-    write_json,
-)
-
-
-CORE_DIGEST = "c" * 64
-
-
-def _digest(text: str) -> str:
-    return hashlib.sha256(text.encode("utf-8")).hexdigest()
-
-
-def _row(parent: int, slot: int, *, suffix: str = "") -> dict:
-    parent_id = (
-        next(iter(ANCHOR_ONLY_PARENT_IDS))
-        if parent == 0
-        else f"core_{parent:03d}"
-    )
-    if slot == 0:
-        row_id = parent_id
-    elif slot > 0:
-        row_id = f"{parent_id}_r{slot:02d}"
-    else:
-        row_id = f"{parent_id}_core_extra_{suffix}"
-    image_bytes = (
-        b"image"
-        if slot <= 0
-        else f"image/{parent}/{slot}".encode("utf-8")
-    )
-    target_bytes = (
-        b"target"
-        if slot <= 0
-        else f"target/{parent}/{slot}".encode("utf-8")
-    )
-    row = {
-        "schema_version": CORE_SCHEMA_VERSION,
-        "id": row_id,
-        "level": "L4",
-        "curriculum_order": parent,
-        "image": {"bytes": image_bytes, "path": None},
-        "target_image": {"bytes": target_bytes, "path": None},
-        "code": "import gdsfactory as gf\n",
-        "code_language": "python",
-        "instruction": f"Recreate the geometry for {row_id}.",
-        "label": row_id,
-        "family": "test",
-        "concept_id": parent_id,
-        "representation_id": parent_id,
-        "grammar_id": parent_id,
-        "leakage_group_id": parent_id,
-        "variation_role": "semantic" if slot == 0 else "realization",
-        "primitive_calls": ["straight"],
-        "prerequisite_ids": [],
-        "port_signature_json": '{"count":2}',
-        "footprint_um": [20.0, 4.0],
-        "parameters_json": "{}",
-        "topology_json": "{}",
-        "metadata_json": "{}",
-        "image_sha256": hashlib.sha256(image_bytes).hexdigest(),
-        "target_image_sha256": hashlib.sha256(target_bytes).hexdigest(),
-        "code_sha256": _digest("import gdsfactory as gf\n"),
-        "normalized_d4_sha256": _digest(f"d4/{row_id}"),
-        "view_policy": "max_visible_v1",
-        "source_dataset_digest_sha256": CORE_DIGEST,
-        "source_generator_version": "core-v1",
-        "depth_schema_version": DEPTH_SCHEMA_VERSION,
-        "parent_core_id": parent_id,
-        "parent_code_sha256": _digest("import gdsfactory as gf\n"),
-        "parent_core_digest_sha256": CORE_DIGEST,
-        "geometry_id": f"geometry/{row_id}" if slot >= 0 else "",
-        "realization_id": f"r{slot:02d}" if slot >= 0 else f"core-extra-{suffix}",
-        "realization_slot": slot,
-        "transform_kind": "anchor" if slot == 0 else "controlled",
-        "controlled_axes": [] if slot <= 0 else ["length_um"],
-        "parameter_delta_json": "{}" if slot <= 0 else '{"length_um":1.0}',
-        "dependency_group": f"dependency/{parent_id}",
-        "split_role": (
-            "core-extra" if slot == -1 else ("train" if slot <= 5 else "validation")
-        ),
-        "pose_id": "base",
-        "render_id": "primary",
-        "verification_evidence_json": "{}",
-        "depth_generator_version": "depth-test-v1",
-        "logical_row_sha256": "",
-    }
-    return bind_logical_row_sha256(row)
-
-
-def _complete_population() -> list[dict]:
-    rows = []
-    for parent in range(APPROVED_REPRESENTATION_COUNT):
-        slots = (0,) if parent == 0 else range(8)
-        rows.extend(_row(parent, slot) for slot in slots)
-    rows.extend(
-        _row(
-            index % APPROVED_REPRESENTATION_COUNT,
-            -1,
-            suffix=str(index),
-        )
-        for index in range(CORE_EXTRA_ROW_COUNT)
-    )
-    return rows
-
-
-def _shard_records(split: str, row_count: int) -> list[dict]:
-    records = []
-    for plan in plan_shards(
-        row_count,
-        max_rows_per_shard=1000,
-        split=split,
-    ):
-        records.append(
-            {
-                "split": split,
-                "index": plan.index,
-                "total": plan.total,
-                "path": f"data/{split}/{plan.filename}",
-                "rows": plan.row_count,
-                "bytes": 100 + plan.index,
-                "sha256": _digest(f"{split}/{plan.index}"),
-            }
-        )
-    return records
-
-
-class DepthSchemaTests(unittest.TestCase):
-    @classmethod
-    def setUpClass(cls) -> None:
-        cls.rows = _complete_population()
-
-    def test_core_columns_are_preserved_before_depth_controls(self) -> None:
-        self.assertEqual(
-            DEPTH_ROW_COLUMNS,
-            (*CORE_ROW_COLUMNS, *DEPTH_CONTROL_COLUMNS),
-        )
-        self.assertEqual(tuple(depth_features()), DEPTH_ROW_COLUMNS)
-        self.assertIn("verification_evidence_json", DEPTH_CONTROL_COLUMNS)
-        self.assertNotIn("admission_evidence_json", DEPTH_CONTROL_COLUMNS)
-
-    def test_frozen_logical_release_digest_is_named_and_exact(self) -> None:
-        self.assertEqual(
-            FROZEN_LOGICAL_RELEASE_SHA256,
-            "676c49134d4d044c7d84426cf8eeecf09302e74ca4aa548956f14b7631a4d80b",
-        )
-
-    def test_logical_row_digest_excludes_payload_bytes_not_payload_hashes(self) -> None:
-        row = _row(0, 0)
-        original = logical_row_sha256(row)
-        changed_payload = dict(row)
-        changed_payload["image"] = {"bytes": b"different", "path": None}
-        self.assertEqual(logical_row_sha256(changed_payload), original)
-        changed_hash = dict(row)
-        changed_hash["image_sha256"] = _digest("different")
-        self.assertNotEqual(logical_row_sha256(changed_hash), original)
-        changed_schema = dict(row)
-        changed_schema["schema_version"] = "unexpected-core-schema"
-        with self.assertRaisesRegex(DepthSchemaError, "core row schema"):
-            logical_row_sha256(changed_schema)
-
-    def test_logical_release_digest_is_input_order_independent(self) -> None:
-        rows = [_row(0, 0), _row(1, 0)]
-        self.assertEqual(
-            logical_release_sha256(rows),
-            logical_release_sha256(reversed(rows)),
-        )
-        self.assertEqual(
-            canonical_sha256({"a": 1, "b": [2]}),
-            canonical_sha256({"b": [2], "a": 1}),
-        )
-
-    def test_deterministic_shard_names_and_ranges(self) -> None:
-        plans = plan_shards(2501, max_rows_per_shard=1000, split="train")
-        self.assertEqual(len(plans), 3)
-        self.assertEqual(plans[0].filename, "train-00000-of-00003.parquet")
-        self.assertEqual(plans[-1].filename, "train-00002-of-00003.parquet")
-        self.assertEqual([plan.row_count for plan in plans], [1000, 1000, 501])
-        with self.assertRaises(DepthSchemaError):
-            shard_filename("../train", 0, 1)
-
-    def test_complete_population_and_manifest_contract(self) -> None:
-        summary = validate_depth_population(
-            self.rows,
-            expected_parent_core_digest_sha256=CORE_DIGEST,
-        )
-        self.assertEqual(summary["row_count"], DEPTH_ROW_COUNT)
-        self.assertEqual(
-            summary["approved_representation_count"],
-            APPROVED_REPRESENTATION_COUNT,
-        )
-        self.assertEqual(
-            summary["complete_depth_representation_count"],
-            DEPTH_ELIGIBLE_COUNT,
-        )
-        self.assertEqual(
-            summary["anchor_only_parent_ids"],
-            sorted(ANCHOR_ONLY_PARENT_IDS),
-        )
-        self.assertEqual(summary["split_counts"], EXPECTED_SPLIT_COUNTS)
-        shards = [
-            *_shard_records("train", EXPECTED_SPLIT_COUNTS["train"]),
-            *_shard_records(
-                "validation",
-                EXPECTED_SPLIT_COUNTS["validation"],
-            ),
-        ]
-        manifest = build_manifest(
-            self.rows,
-            shards=shards,
-            depth_generator_version="depth-test-v1",
-            expected_parent_core_digest_sha256=CORE_DIGEST,
-        )
-        self.assertEqual(manifest["schema_version"], MANIFEST_SCHEMA_VERSION)
-        self.assertEqual(manifest["row_count"], DEPTH_ROW_COUNT)
-        self.assertEqual(manifest["split_counts"], EXPECTED_SPLIT_COUNTS)
-
-        non_public = list(self.rows)
-        changed = dict(non_public[0])
-        changed["verification_evidence_json"] = '{"status":"accepted"}'
-        non_public[0] = bind_logical_row_sha256(changed)
-        with self.assertRaisesRegex(DepthSchemaError, "non-public control key"):
-            validate_depth_population(
-                non_public,
-                expected_parent_core_digest_sha256=CORE_DIGEST,
-            )
-
-    def test_freeze_and_checksum_helpers_are_release_relative(self) -> None:
-        with tempfile.TemporaryDirectory() as raw:
-            root = Path(raw)
-            manifest = {
-                "schema_version": MANIFEST_SCHEMA_VERSION,
-                "logical_release_sha256": _digest("logical-release"),
-                "parent_core_digest_sha256": CORE_DIGEST,
-                "row_count": DEPTH_ROW_COUNT,
-                "approved_representation_count": APPROVED_REPRESENTATION_COUNT,
-                "complete_depth_representation_count": DEPTH_ELIGIBLE_COUNT,
-                "anchor_only_representation_count": len(
-                    ANCHOR_ONLY_PARENT_IDS
-                ),
-                "anchor_only_parent_ids": sorted(ANCHOR_ONLY_PARENT_IDS),
-                "geometry_state_count": 8,
-            }
-            write_json(root / "metadata" / "manifest.json", manifest)
-            (root / "release.txt").write_text("depth release\n", encoding="utf-8")
-            freeze = build_freeze(
-                root,
-                manifest,
-                manifest_path="metadata/manifest.json",
-                reference_paths=["release.txt"],
-            )
-            self.assertEqual(
-                freeze["reference_artifacts"].keys(),
-                {"release.txt"},
-            )
-            changed_manifest = dict(manifest)
-            changed_manifest["row_count"] = 1
-            with self.assertRaisesRegex(DepthSchemaError, "manifest object differs"):
-                build_freeze(
-                    root,
-                    changed_manifest,
-                    manifest_path="metadata/manifest.json",
-                    reference_paths=["release.txt"],
-                )
-            write_json(root / "metadata" / "freeze.json", freeze)
-            write_checksums(root)
-            verify_checksums(root)
-            (root / "release.txt").write_text("drift\n", encoding="utf-8")
-            with self.assertRaisesRegex(DepthSchemaError, "changed="):
-                verify_checksums(root)
-
-
-if __name__ == "__main__":
-    unittest.main()
diff --git a/depth-v1/tests/test_validate.py b/depth-v1/tests/test_validate.py
deleted file mode 100644
index b6abde11baaf3799bb4f03439abe061c053a3449..0000000000000000000000000000000000000000
--- a/depth-v1/tests/test_validate.py
+++ /dev/null
@@ -1,410 +0,0 @@
-"""Focused corruption tests for the depth-v1 release validator."""
-
-from __future__ import annotations
-
-import hashlib
-import io
-import json
-import sys
-import unittest
-from pathlib import Path
-
-from PIL import Image, ImageDraw
-
-
-ROOT = Path(__file__).resolve().parents[1]
-SCRIPTS = ROOT / "scripts"
-CORE_SCRIPTS = ROOT.parent / "scripts"
-sys.path.insert(0, str(CORE_SCRIPTS))
-sys.path.insert(0, str(SCRIPTS))
-
-from _shared import normalized_d4_sha256, primitive_calls, sha256_bytes  # noqa: E402
-from contracts import normalized_grammar_hash, rewrite_parameters  # noqa: E402
-from runtime import PortGateReport, PortWitness  # noqa: E402
-from schema import (  # noqa: E402
-    CORE_SCHEMA_VERSION,
-    DEPTH_ROW_COLUMNS,
-    DEPTH_SCHEMA_VERSION,
-    FROZEN_LOGICAL_RELEASE_SHA256,
-    bind_logical_row_sha256,
-    canonical_json,
-    depth_features,
-)
-from validate import (  # noqa: E402
-    DepthValidationError,
-    _changes_repeat_count,
-    _reject_control_keys,
-    _runtime_port_signature,
-    _validate_arrow_schema,
-    _validate_controlled_relationship,
-    _validate_frozen_logical_release,
-    _validate_parameter_payload,
-    _validate_repeated_element_counts,
-    _validate_runtime_port_evidence,
-    _validate_row_static,
-)
-
-
-ANCHOR_CODE = """\
-import gdsfactory as gf
-
-length_um = 10.0
-width_um = 1.0
-layer = (1, 0)
-
-@gf.cell
-def device():
-    return gf.components.rectangle(size=(length_um, width_um), layer=layer)
-"""
-
-
-def _png() -> tuple[bytes, Image.Image]:
-    image = Image.new("L", (32, 32), 255)
-    ImageDraw.Draw(image).rectangle((4, 12, 27, 19), fill=0)
-    output = io.BytesIO()
-    image.save(output, format="PNG")
-    return output.getvalue(), image
-
-
-def _digest(text: str) -> str:
-    return hashlib.sha256(text.encode("utf-8")).hexdigest()
-
-
-def _row(code: str = ANCHOR_CODE) -> dict:
-    image_bytes, image = _png()
-    code_hash = sha256_bytes(code.encode("utf-8"))
-    values = {
-        "fixed_context": {"layer": [1, 0]},
-        "parameters": {
-            "length_um": 10.0,
-            "width_um": 1.0,
-        },
-    }
-    row = {
-        "schema_version": CORE_SCHEMA_VERSION,
-        "id": "l0_rectangle__s01",
-        "level": "L0",
-        "curriculum_order": 0,
-        "image": {"bytes": image_bytes, "path": "image.png"},
-        "target_image": {"bytes": image_bytes, "path": "target.png"},
-        "code": code,
-        "code_language": "python",
-        "instruction": "Recreate the shown geometry.",
-        "label": "rectangle",
-        "family": "primitive",
-        "concept_id": "rectangle",
-        "representation_id": "rectangle",
-        "grammar_id": "l0_rectangle__s01",
-        "leakage_group_id": "rectangle",
-        "variation_role": "semantic",
-        "primitive_calls": primitive_calls(code),
-        "prerequisite_ids": [],
-        "port_signature_json": '{"count":0,"names":[],"ports":[]}',
-        "footprint_um": [10.0, 1.0],
-        "parameters_json": canonical_json(values),
-        "topology_json": "{}",
-        "metadata_json": "{}",
-        "image_sha256": sha256_bytes(image_bytes),
-        "target_image_sha256": sha256_bytes(image_bytes),
-        "code_sha256": code_hash,
-        "normalized_d4_sha256": normalized_d4_sha256(image),
-        "view_policy": "maximum_visibility",
-        "source_dataset_digest_sha256": "c" * 64,
-        "source_generator_version": "core-v1",
-        "depth_schema_version": DEPTH_SCHEMA_VERSION,
-        "parent_core_id": "l0_rectangle__s01",
-        "parent_code_sha256": code_hash,
-        "parent_core_digest_sha256": "c" * 64,
-        "geometry_id": "dgeo_test",
-        "realization_id": "r00",
-        "realization_slot": 0,
-        "transform_kind": "anchor",
-        "controlled_axes": [],
-        "parameter_delta_json": "{}",
-        "dependency_group": "ddep_test",
-        "split_role": "train",
-        "pose_id": "canonical",
-        "render_id": "maximum_visibility",
-        "verification_evidence_json": "{}",
-        "depth_generator_version": "depth-test-v1",
-        "logical_row_sha256": "",
-    }
-    self_ordered = {column: row[column] for column in DEPTH_ROW_COLUMNS}
-    return bind_logical_row_sha256(self_ordered)
-
-
-class DepthValidatorTests(unittest.TestCase):
-    def test_static_row_checks_code_images_and_parameters(self) -> None:
-        _validate_row_static(_row())
-
-    def test_frozen_logical_release_rejects_manifest_and_row_drift(self) -> None:
-        row = _row()
-        with self.assertRaisesRegex(
-            DepthValidationError,
-            "manifest logical release digest",
-        ):
-            _validate_frozen_logical_release(
-                {"logical_release_sha256": "0" * 64},
-                [row],
-            )
-        with self.assertRaisesRegex(
-            DepthValidationError,
-            "recomputed logical release digest",
-        ):
-            _validate_frozen_logical_release(
-                {
-                    "logical_release_sha256": FROZEN_LOGICAL_RELEASE_SHA256,
-                },
-                [row],
-            )
-
-    def test_arrow_schema_requires_exact_hugging_face_metadata(self) -> None:
-        expected = depth_features().arrow_schema
-        _validate_arrow_schema("data/train.parquet", expected, expected)
-        with self.assertRaisesRegex(
-            DepthValidationError,
-            "Hugging Face feature metadata",
-        ):
-            _validate_arrow_schema(
-                "data/train.parquet",
-                expected.remove_metadata(),
-                expected,
-            )
-
-    def test_public_control_keys_are_rejected_recursively(self) -> None:
-        with self.assertRaisesRegex(DepthValidationError, "forbidden public"):
-            _reject_control_keys(
-                {"nested": [{"review_status": "accepted"}]},
-                label="evidence",
-            )
-
-    def test_legacy_core_control_keys_remain_valid_outside_new_evidence(self) -> None:
-        row = _row()
-        row["metadata_json"] = '{"legacy_status":"accepted"}'
-        row["topology_json"] = '{"admission_status":"historical"}'
-        _validate_row_static(row)
-
-        row["verification_evidence_json"] = '{"review_status":"accepted"}'
-        with self.assertRaisesRegex(DepthValidationError, "forbidden public"):
-            _validate_row_static(row)
-
-    def test_controlled_delta_and_normalized_grammar_are_bound(self) -> None:
-        anchor = _row()
-        candidate_code = rewrite_parameters(ANCHOR_CODE, {"length_um": 12.0})
-        candidate = dict(anchor)
-        candidate.update(
-            {
-                "id": "l0_rectangle__s01__depth_r01",
-                "code": candidate_code,
-                "code_sha256": sha256_bytes(candidate_code.encode("utf-8")),
-                "controlled_axes": ["length_um"],
-                "parameters_json": canonical_json(
-                    {
-                        "fixed_context": {"layer": [1, 0]},
-                        "parameters": {
-                            "length_um": 12.0,
-                            "width_um": 1.0,
-                        },
-                    }
-                ),
-                "realization_id": "r01",
-                "realization_slot": 1,
-            }
-        )
-        delta = {
-            "changes": {
-                "length_um": {
-                    "after": 12.0,
-                    "before": 10.0,
-                }
-            },
-            "derived_updates": [],
-        }
-        evidence = {
-            "model_input_signal": {
-                "footprint_changed": True,
-                "normalized_changed_fraction": None,
-            },
-            "normalized_grammar_hash": normalized_grammar_hash(ANCHOR_CODE),
-        }
-        _validate_controlled_relationship(
-            candidate,
-            anchor,
-            parsed_delta=delta,
-            evidence=evidence,
-        )
-
-        changed_grammar = dict(candidate)
-        changed_grammar["code"] = candidate_code.replace(
-            "layer=layer",
-            "layer=(2, 0)",
-        )
-        with self.assertRaisesRegex(DepthValidationError, "source grammar"):
-            _validate_controlled_relationship(
-                changed_grammar,
-                anchor,
-                parsed_delta=delta,
-                evidence=evidence,
-            )
-
-        leaked = dict(candidate)
-        leaked["leakage_group_id"] = "different-parent-group"
-        with self.assertRaisesRegex(DepthValidationError, "leakage_group_id"):
-            _validate_controlled_relationship(
-                leaked,
-                anchor,
-                parsed_delta=delta,
-                evidence=evidence,
-            )
-
-    def test_parameter_contract_preserves_context_and_derived_values(self) -> None:
-        code = """\
-length_um = 12.0
-layer = (1, 0)
-optical_port_specs = [('o1', 0.0, 0.0, 180.0, 0.5)]
-"""
-        anchor_payload = {
-            "fixed_context": {"layer": [1, 0]},
-            "parameters": {
-                "length_um": 10.0,
-                "optical_port_specs": [["o1", 0.0, 0.0, 180.0, 0.5]],
-            },
-        }
-        candidate_payload = {
-            "fixed_context": {"layer": [1, 0]},
-            "parameters": {
-                "length_um": 12.0,
-                "optical_port_specs": [["o1", 0.0, 0.0, 180.0, 0.5]],
-            },
-        }
-        _validate_parameter_payload(
-            "row",
-            code,
-            candidate_payload,
-            anchor_payload=anchor_payload,
-        )
-        changed_context = json.loads(json.dumps(candidate_payload))
-        changed_context["fixed_context"]["layer"] = [2, 0]
-        with self.assertRaisesRegex(DepthValidationError, "fixed_context"):
-            _validate_parameter_payload(
-                "row",
-                code,
-                changed_context,
-                anchor_payload=anchor_payload,
-            )
-        omitted_derived = json.loads(json.dumps(candidate_payload))
-        omitted_derived["parameters"].pop("optical_port_specs")
-        with self.assertRaisesRegex(DepthValidationError, "keys differ"):
-            _validate_parameter_payload(
-                "row",
-                code,
-                omitted_derived,
-                anchor_payload=anchor_payload,
-            )
-
-    def test_only_repeat_count_axes_relax_connectivity(self) -> None:
-        row = _row()
-        row["controlled_axes"] = ["length_um"]
-        repeat_names = {row["parent_core_id"]: {"count"}}
-        self.assertFalse(_changes_repeat_count(row, repeat_names))
-        row["controlled_axes"] = ["length_um", "count"]
-        self.assertTrue(_changes_repeat_count(row, repeat_names))
-
-    def test_runtime_port_signature_checks_geometry_bound_records(self) -> None:
-        signature = {
-            "count": 1,
-            "names": ["o1"],
-            "ports": [
-                {
-                    "center": [0.0, 0.0],
-                    "name": "o1",
-                    "orientation": 180.0,
-                    "width": 0.5,
-                }
-            ],
-        }
-        runtime = {
-            "ports": [
-                {
-                    "center": [0.0, 0.0],
-                    "name": "o1",
-                    "orientation": 180.0,
-                    "width": 0.5,
-                }
-            ]
-        }
-        _runtime_port_signature("legacy-core-row", {}, {"ports": []})
-        _runtime_port_signature("row", signature, runtime)
-        _runtime_port_signature("row", "1x0", runtime)
-        corrupted = json.loads(json.dumps(signature))
-        corrupted["ports"][0]["width"] = 0.8
-        with self.assertRaisesRegex(DepthValidationError, "port record"):
-            _runtime_port_signature("row", corrupted, runtime)
-
-    def test_runtime_port_evidence_binds_exact_witnesses(self) -> None:
-        witness = PortWitness(
-            name="o1",
-            side="left",
-            bbox_side="left",
-            orientation_deg=180.0,
-            width_um=0.5,
-            inward_material_fraction=1.0,
-            outward_material_fraction=0.0,
-            touches_material=True,
-        )
-        report = PortGateReport(
-            passed=True,
-            errors=(),
-            port_count=1,
-            orientation_side_histogram={"left": 1},
-            witnesses=(witness,),
-        )
-        evidence = {
-            "port_count": 1,
-            "port_orientation_side_histogram": {"left": 1},
-            "port_witnesses": [
-                {
-                    "bbox_side": "left",
-                    "inward_material_fraction": 1.0,
-                    "name": "o1",
-                    "orientation_deg": 180.0,
-                    "outward_material_fraction": 0.0,
-                    "side": "left",
-                    "touches_material": True,
-                    "width_um": 0.5,
-                }
-            ],
-        }
-        _validate_runtime_port_evidence("row", evidence, report)
-        corrupted = json.loads(json.dumps(evidence))
-        corrupted["port_witnesses"][0]["touches_material"] = False
-        with self.assertRaisesRegex(DepthValidationError, "port witnesses"):
-            _validate_runtime_port_evidence("row", corrupted, report)
-
-    def test_repeat_count_evidence_binds_emitted_polygon_count(self) -> None:
-        row = _row()
-        row.update(
-            {
-                "code": ANCHOR_CODE + "\nrows = 2\ncolumns = 3\n",
-                "controlled_axes": ["rows"],
-                "parent_core_id": "count-anchor",
-                "realization_slot": 1,
-                "verification_evidence_json": json.dumps(
-                    {"runtime_structural_metrics": {"polygon_count": 6}}
-                ),
-            }
-        )
-        names = {"count-anchor": {"rows", "columns"}}
-        _validate_repeated_element_counts([row], names)
-        row["verification_evidence_json"] = json.dumps(
-            {"runtime_structural_metrics": {"polygon_count": 5}}
-        )
-        with self.assertRaisesRegex(
-            DepthValidationError,
-            "geometry witness differs",
-        ):
-            _validate_repeated_element_counts([row], names)
-
-
-if __name__ == "__main__":
-    unittest.main()
diff --git a/depth/data/train-00000-of-00007.parquet b/depth/data/train-00000-of-00007.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..65929b342b0652d97c2161c7e3df84ae20cccae6
--- /dev/null
+++ b/depth/data/train-00000-of-00007.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5ec9cfd7c2d7e77e31862fce8324567c06f854533cdf5c56fabfa4cd160ff0ea
+size 18799084
diff --git a/depth/data/train-00001-of-00007.parquet b/depth/data/train-00001-of-00007.parquet
new file mode 100644
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diff --git a/factory/README.md b/factory/README.md
deleted file mode 100644
index e7919f846133695edfb063fde45eb77a99602034..0000000000000000000000000000000000000000
--- a/factory/README.md
+++ /dev/null
@@ -1,58 +0,0 @@
-# PixCell standalone dataset factory
-
-This directory makes the published PixCell curriculum reproducible without a
-checkout of the private development or RL repository.
-
-## `core-v1`
-
-`core-v1` is the immutable 738-row curriculum released in this repository. Its
-source bundle contains the minimum accepted-only material required to rebuild
-the public Parquet:
-
-- explicit grammar and factor assignments;
-- one executable, primitive-only generator program per row;
-- the exact model and target images;
-- parameter, calibration, topology, and admission evidence consumed by the
-  release gate; and
-- the five accepted-only source manifests and audit reports.
-
-Historical proposals, rejected candidates, cached GDS files, private benchmark
-figures, and RL rollouts are deliberately absent.
-
-The original candidate-bank builders are also deliberately absent. They were
-development orchestration scripts coupled to historical proposal pools and an
-RL environment; copying them would neither be compact nor reproduce their
-source-bound hashes. In the frozen core, the executable per-row programs and
-explicit factor assignments are the deterministic generators. No random
-sampling is used.
-
-The files are:
-
-- `core-v1/freeze.json` — immutable release digest, counts, source checksums,
-  and build commands;
-- `core-v1/grammar_catalog.json` — inspectable grammar/factor map for all rows;
-- `core-v1/source_manifest.json` — checksum inventory of every bundled source
-  file; and
-- `core-v1/source.tar.gz` — normalized deterministic source bundle.
-
-## Rebuild
-
-From the `dataset/` directory:
-
-```bash
-python scripts/build_all.py
-python scripts/validate_release.py --execute-programs
-```
-
-`build_all.py` verifies the compressed source bundle, extracts it into a
-temporary directory, rebuilds all five Parquet shards and galleries, and
-refuses to succeed unless the logical release digest exactly matches the
-frozen `core-v1` digest.
-
-The second command independently executes all 738 emitted Python programs and
-checks their runtime geometry and port contracts.
-
-## Release boundary
-
-`core-v1` never changes. Any future dataset version must be published
-separately; `build_all.py` reproduces only the frozen 738 rows.
diff --git a/factory/admission_policy.json b/factory/admission_policy.json
deleted file mode 100644
index 9f68cbac4e00159a8ed405fd6d60daf3801d7bfb..0000000000000000000000000000000000000000
--- a/factory/admission_policy.json
+++ /dev/null
@@ -1,54 +0,0 @@
-{
-  "policy_version": "pixcell-admission-v1",
-  "purpose": "Admission policy for the frozen core and future representation-first expansions.",
-  "core_principle": "The agent or authored program constructs geometry; deterministic code only measures and admits it.",
-  "hard_gates": [
-    {
-      "id": "compile_and_execute",
-      "levels": ["L0", "L1", "L2", "L3", "L4"],
-      "rule": "The complete Python program must compile, execute in isolation, and emit a non-empty GDS."
-    },
-    {
-      "id": "source_purity",
-      "levels": ["L0", "L1", "L2", "L3", "L4"],
-      "rule": "Only the public primitive catalog is permitted; raw polygon dumps, device stencils, raster reads, dynamic component lookup, and private-package imports are rejected."
-    },
-    {
-      "id": "image_and_footprint_binding",
-      "levels": ["L0", "L1", "L2", "L3", "L4"],
-      "rule": "The model view, canonical target image, physical footprint, source program, and source evidence are hash-bound and non-blank."
-    },
-    {
-      "id": "duplicate_accounting",
-      "levels": ["L0", "L1", "L2", "L3", "L4"],
-      "rule": "Exact and D4-equivalent silhouettes are reported; exact aliases share one leakage group, and undeclared duplicates are rejected."
-    },
-    {
-      "id": "runtime_ports",
-      "levels": ["L3", "L4"],
-      "rule": "Declared optical ports must have finite centers, positive widths, valid orientations, and the expected side histogram; L4 evidence must come from runtime inspection."
-    },
-    {
-      "id": "frozen_release_digest",
-      "levels": ["L0", "L1", "L2", "L3", "L4"],
-      "rule": "A core-v1 rebuild is accepted only when its logical digest exactly equals the immutable release digest."
-    }
-  ],
-  "conditional_gates": [
-    {
-      "id": "structural_witnesses",
-      "rule": "Repeated-element counts, branch degree, defects, and topology witnesses are required only when the grammar declares them."
-    },
-    {
-      "id": "geometry_similarity",
-      "rule": "Calibrated geometry and raster agreement are evidence and training signals; thresholds must be level-aware and may not erase intentional representation differences."
-    }
-  ],
-  "anti_signal_rules": [
-    "Admission gates are not automatically copied into an RL reward with equal weights.",
-    "Program compilation and source purity are hard constraints, not graded aesthetic rewards.",
-    "Tiny parameter jitter is never counted as a new representation grammar.",
-    "Maximum-visibility views remain the primary supervision view; physical dimensions come from the footprint and metadata.",
-    "Rejected proposals and model repair trajectories remain outside the accepted-only core."
-  ]
-}
diff --git a/factory/core-v1/freeze.json b/factory/core-v1/freeze.json
deleted file mode 100644
index d64062c5dccca125050883562cb831108a95282f..0000000000000000000000000000000000000000
--- a/factory/core-v1/freeze.json
+++ /dev/null
@@ -1,82 +0,0 @@
-{
-  "accepted_only": true,
-  "admission_policy": {
-    "path": "factory/admission_policy.json",
-    "sha256": "661078d8cce3ff96d8267a332c110d188415d99c604f974efc14e2fc2604059d"
-  },
-  "build_command": "python scripts/build_all.py",
-  "core_name": "core-v1",
-  "determinism": {
-    "archive_metadata_normalized": true,
-    "expected_logical_digest_is_mandatory": true,
-    "randomness": "none",
-    "reference_artifacts_are_platform_specific": true,
-    "seed": null
-  },
-  "grammar_catalog": {
-    "path": "factory/core-v1/grammar_catalog.json",
-    "representation_count": 547,
-    "row_count": 738,
-    "sha256": "2b833651a688c9cd33b3fcc5f4b79fd45307b2a28060a583ef9a1464eb8d89a1"
-  },
-  "levels": {
-    "l0": {
-      "row_count": 177,
-      "source_dataset_digest_sha256": "495b2c8f4864199213a888a5f8323db08525c76213552f919e901e386784ea76"
-    },
-    "l1": {
-      "row_count": 215,
-      "source_dataset_digest_sha256": "30765ca9366965807b65e321a7492afe6d2f8e7ae0c9fbc3a629e4641a771bc1"
-    },
-    "l2": {
-      "row_count": 118,
-      "source_dataset_digest_sha256": "05737221cfc0aeb3ef08efc64504d3db031530f5cef1496a48b0239ad23d6b46"
-    },
-    "l3": {
-      "row_count": 120,
-      "source_dataset_digest_sha256": "aa696edde9a6bc5ee0c5275d9a7f05eed2a1bc56c600791ebb5c51a3d4953fc6"
-    },
-    "l4": {
-      "row_count": 108,
-      "source_dataset_digest_sha256": "8db07b0730b3864a3f864abf08eb5fcf94c144ffcea5d3224590560d429c836f"
-    }
-  },
-  "reference_artifacts": {
-    "data/l0/train-00000-of-00001.parquet": "e0c5bda1b192a901349aeda2cf9287e22d62b5b791c421955e2ffba9ca2785da",
-    "data/l1/train-00000-of-00001.parquet": "fc37aea17af1a127e46f89604c95e490b8c361d5105a4cd77581f1d93dfcfc44",
-    "data/l2/train-00000-of-00001.parquet": "420d2b75f1cd38e2e3629495b9da36a07bc24ec9b81139816528e9332c7d4007",
-    "data/l3/train-00000-of-00001.parquet": "0dea653b7f8a7d5c5e773606ead614f460fae3f40e8588e67d48d314b053c4b2",
-    "data/l4/train-00000-of-00001.parquet": "05c8162b50feb869224e998a7d43fe81eee40d12371019fb27ae6aef3557a16d",
-    "galleries/all.png": "5fe87e14eb72e0a76cb39bcac1d7cc739861948dc299c400f1a746763c2793d9",
-    "galleries/l0.png": "838dc208f2bddb3c9cfa140ef09cb8d350f866c9b380d285b3c4d6afc3bd9c0a",
-    "galleries/l1.png": "e6cb27d4d4230ceb2c0b8eb5cde759af53759b2c3c05abbd9fd72b05302400d8",
-    "galleries/l2.png": "e730702cd6c321f50d48305ff7952434990ed48dc87c1a41699bf893e364489b",
-    "galleries/l3.png": "5fb0387dfc4be86ac455528e75f9dc33f8979ea5a860812159445f851f2eefd9",
-    "galleries/l4.png": "eca24f18ece945ee76f316e9c97fd48d5c9a52a52b8fdc04eba0857b49376463",
-    "metadata/audit_report.json": "2cb6122042f1b231adc4c6de642f64663f42759a2bf3dcee305c9d255064b0ae",
-    "metadata/catalog.json": "c22125e4201e3ccac233b0d6898a86cda232a5371ad8a68e19b44112aa680511",
-    "metadata/source_reports/l0.json": "654d69c5a9954f4a251450f85ce6143635bbfb26e6f1f01f8e22777223c98d23",
-    "metadata/source_reports/l1.json": "6e95ccff6ea3dfeec8df3c31cbbafbb487986d94736d8ec74d17189edc3da290",
-    "metadata/source_reports/l2.json": "95d17fe874a904df8ef2a2aca5a563d3cc5e72237e611278083181bf1ec9465a",
-    "metadata/source_reports/l3.json": "b5dbd40ef517ec23353d98a6326f8ec649b0ec88ec2f0d2b2fdc622b4d8a6f1a",
-    "metadata/source_reports/l4.json": "a7cfc8be204209ef7997447f20db339a52e327ad6ecdabbcb921c54111de9eeb"
-  },
-  "release_digest_sha256": "e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89",
-  "representation_count": 547,
-  "reproducibility_report": {
-    "path": "factory/core-v1/reproducibility_report.json",
-    "sha256": "8da6d92acfa66ea3e8306db3732533e5ec3d4739cf39349c30fc1ae04eb97b71"
-  },
-  "row_count": 738,
-  "schema_version": "pixcell-core-freeze-v1",
-  "source_bundle": {
-    "bytes": 40391520,
-    "file_count": 5404,
-    "inventory_path": "factory/core-v1/source_manifest.json",
-    "path": "factory/core-v1/source.tar.gz",
-    "sha256": "48f6caa39172656a25a4b7b0e9b4cf085912d32e39c58055d9234d138db8ea50",
-    "uncompressed_payload_bytes": 56592748
-  },
-  "source_commit": "2ab0e551fc75c2ad7087ef88ecad2b5de279704b",
-  "validation_command": "python scripts/validate_release.py --execute-programs"
-}
diff --git a/factory/core-v1/grammar_catalog.json b/factory/core-v1/grammar_catalog.json
deleted file mode 100644
index 3d384182c365cb716fdf26841cd8e0fe7fa1e1d5..0000000000000000000000000000000000000000
--- a/factory/core-v1/grammar_catalog.json
+++ /dev/null
@@ -1,81890 +0,0 @@
-{
-  "core_name": "core-v1",
-  "randomness": "none",
-  "representation_count": 547,
-  "row_count": 738,
-  "rows": [
-    {
-      "concept_id": "l0_01_rectangle",
-      "curriculum_order": 0,
-      "deterministic_seed": null,
-      "factor_assignment": {
-        "analytic_witness": {},
-        "candidate_id": "l0_01_rectangle__semantic__square",
-        "concept_id": "l0_01_rectangle",
-        "concept_label": "Rectangle primitive",
-        "equivalence_family": "filled_quadrilateral",
-        "factor_assignment": {
-          "semantic_shape_regime": "square"
-        },
-        "factor_kinds": {
-          "semantic_shape_regime": "semantic_mode"
-        },
-        "grammar_id": "g_893acd0ec3151d5eae07",
-        "grammar_payload": {
-          "concept_id": "l0_01_rectangle",
-          "equivalence_family": "filled_quadrilateral",
-          "semantic_factor_signature": {
-            "semantic_shape_regime": "square"
-          },
-          "semantic_mode_id": "square"
-        },
-        "leakage_group_id": "g_893acd0ec3151d5eae07",
-        "leakage_group_override": null,
-        "level": "L0",
-        "mode_id": "square",
-        "mode_label": "Square",
-        "operation_grammar_id": null,
-        "parent_mode_id": null,
-        "port_contract": {},
-        "presentation_factors": {},
-        "presentation_id": "authored",
-        "primitive_api": "gf.components.rectangle",
-        "program_form_id": "canonical_l0_primitives_program",
-        "public_role": null,
-        "realization_factors": {},
-        "realization_id": "anchor",
-        "required_calls": [
-          "gf.components.rectangle"
-        ],
-        "schema_version": "pixcell-candidate-program-spec-1",
-        "selection_group_id": null,
-        "selection_slot_id": null,
-        "semantic_factors": {
-          "semantic_shape_regime": "square"
-        },
-        "structural_parameter_names": [
-          "length_um",
-          "width_um"
-        ],
-        "variation_role": "semantic",
-        "visual_target_id": "v_11957dfd8972e5e46aab"
-      },
-      "family": "Primitive catalog",
-      "generator_program": "rl/tasks/pool_v8_l0_bank/cards/l0_01_rectangle/l0_01_rectangle__semantic__square/ground_truth.py",
-      "grammar_id": "g_893acd0ec3151d5eae07",
-      "id": "l0_01_rectangle__semantic__square",
-      "label": "Rectangle primitive",
-      "leakage_group_id": "g_893acd0ec3151d5eae07",
-      "level": "L0",
-      "parameters": {
-        "fixed_context": {
-          "layer": [
-            1,
-            0
-          ]
-        },
-        "parameters": {
-          "length_um": 22.0,
-          "width_um": 22.0
-        },
-        "schema_version": "pixcell-l0-private-parameters-1",
-        "visibility": "conductor-private; never policy input"
-      },
-      "variation_role": "semantic"
-    },
-    {
-      "concept_id": "l0_01_rectangle",
-      "curriculum_order": 1,
-      "deterministic_seed": null,
-      "factor_assignment": {
-        "analytic_witness": {},
-        "candidate_id": "l0_01_rectangle__semantic__mild_landscape",
-        "concept_id": "l0_01_rectangle",
-        "concept_label": "Rectangle primitive",
-        "equivalence_family": "filled_rectangle",
-        "factor_assignment": {
-          "semantic_shape_regime": "mild_landscape"
-        },
-        "factor_kinds": {
-          "semantic_shape_regime": "semantic_mode"
-        },
-        "grammar_id": "g_d77719f938c1d0c48b58",
-        "grammar_payload": {
-          "concept_id": "l0_01_rectangle",
-          "equivalence_family": "filled_rectangle",
-          "semantic_factor_signature": {
-            "semantic_shape_regime": "mild_landscape"
-          },
-          "semantic_mode_id": "mild_landscape"
-        },
-        "leakage_group_id": "g_d77719f938c1d0c48b58",
-        "leakage_group_override": null,
-        "level": "L0",
-        "mode_id": "mild_landscape",
-        "mode_label": "Mild landscape",
-        "operation_grammar_id": null,
-        "parent_mode_id": null,
-        "port_contract": {},
-        "presentation_factors": {},
-        "presentation_id": "authored",
-        "primitive_api": "gf.components.rectangle",
-        "program_form_id": "canonical_l0_primitives_program",
-        "public_role": null,
-        "realization_factors": {},
-        "realization_id": "anchor",
-        "required_calls": [
-          "gf.components.rectangle"
-        ],
-        "schema_version": "pixcell-candidate-program-spec-1",
-        "selection_group_id": null,
-        "selection_slot_id": null,
-        "semantic_factors": {
-          "semantic_shape_regime": "mild_landscape"
-        },
-        "structural_parameter_names": [
-          "length_um",
-          "width_um"
-        ],
-        "variation_role": "semantic",
-        "visual_target_id": "v_5d1eca9447cdfcb30dc8"
-      },
-      "family": "Primitive catalog",
-      "generator_program": "rl/tasks/pool_v8_l0_bank/cards/l0_01_rectangle/l0_01_rectangle__semantic__mild_landscape/ground_truth.py",
-      "grammar_id": "g_d77719f938c1d0c48b58",
-      "id": "l0_01_rectangle__semantic__mild_landscape",
-      "label": "Rectangle primitive",
-      "leakage_group_id": "g_d77719f938c1d0c48b58",
-      "level": "L0",
-      "parameters": {
-        "fixed_context": {
-          "layer": [
-            1,
-            0
-          ]
-        },
-        "parameters": {
-          "length_um": 28.0,
-          "width_um": 22.0
-        },
-        "schema_version": "pixcell-l0-private-parameters-1",
-        "visibility": "conductor-private; never policy input"
-      },
-      "variation_role": "semantic"
-    },
-    {
-      "concept_id": "l0_01_rectangle",
-      "curriculum_order": 2,
-      "deterministic_seed": null,
-      "factor_assignment": {
-        "analytic_witness": {},
-        "candidate_id": "l0_01_rectangle__equivariance__mild_portrait",
-        "concept_id": "l0_01_rectangle",
-        "concept_label": "Rectangle primitive",
-        "equivalence_family": "filled_rectangle",
-        "factor_assignment": {
-          "equivariance_rotation": 90,
-          "semantic_shape_regime": "mild_landscape"
-        },
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index 553e49afa5d7c2b799d1382e25ba62b0dc4cc255..0000000000000000000000000000000000000000
--- a/factory/core-v1/reproducibility_report.json
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-{
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-  "payload_bytes": 56592748,
-  "randomness": {
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diff --git a/galleries/l0.png b/galleries/l0.png
deleted file mode 100644
index 8fb2426902672feb2647b0ba9868d3f1a66ef07f..0000000000000000000000000000000000000000
--- a/galleries/l0.png
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index f71a53eed4358beda68a6568d99018b7b28402e2..0000000000000000000000000000000000000000
--- a/galleries/l1.png
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diff --git a/galleries/l2.png b/galleries/l2.png
deleted file mode 100644
index 81792cb53b45a2167b127f3312023d8080c09645..0000000000000000000000000000000000000000
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diff --git a/galleries/l4.png b/galleries/l4.png
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diff --git a/manifest.json b/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..e7dc4164e6b84e6329b1cbaea406752366d6810b
--- /dev/null
+++ b/manifest.json
@@ -0,0 +1,274 @@
+{
+  "configurations": {
+    "core": {
+      "columns": [
+        "schema_version",
+        "opaque_id",
+        "image",
+        "footprint_um",
+        "code",
+        "image_sha256",
+        "code_sha256",
+        "level",
+        "curriculum_order",
+        "representation_id",
+        "leakage_group_id",
+        "variation_role",
+        "realization_slot",
+        "is_core"
+      ],
+      "default": false,
+      "logical_sha256": {
+        "train": "dffa8da6d0be74657a5722a927493d0b11c0ed2161aa58e5e898d274bd7c3cb0"
+      },
+      "split_rows": {
+        "train": 738
+      }
+    },
+    "depth": {
+      "columns": [
+        "schema_version",
+        "opaque_id",
+        "image",
+        "footprint_um",
+        "code",
+        "image_sha256",
+        "code_sha256",
+        "level",
+        "curriculum_order",
+        "representation_id",
+        "leakage_group_id",
+        "variation_role",
+        "realization_slot",
+        "is_core"
+      ],
+      "default": true,
+      "logical_sha256": {
+        "train": "75abc522bd2cea905b523270df98be65d2d3e7751b974b2733829d55276787d9",
+        "validation": "5c23e67cd79afbd1a879550967f893d89a669fc1a25733d2bad53413492df687"
+      },
+      "split_rows": {
+        "train": 3468,
+        "validation": 1092
+      }
+    },
+    "references": {
+      "columns": [
+        "schema_version",
+        "opaque_id",
+        "target_image",
+        "footprint_um",
+        "target_image_sha256",
+        "primitive_calls",
+        "port_signature_json",
+        "topology_json",
+        "parameters_json",
+        "family",
+        "label",
+        "view_policy",
+        "calibration_json",
+        "parent_opaque_id",
+        "parent_code_sha256",
+        "parent_core_digest_sha256",
+        "geometry_id",
+        "realization_id",
+        "realization_slot",
+        "transform_kind",
+        "controlled_axes",
+        "parameter_delta_json",
+        "dependency_group",
+        "split_role",
+        "pose_id",
+        "render_id",
+        "depth_generator_version",
+        "logical_row_sha256"
+      ],
+      "default": false,
+      "logical_sha256": {
+        "train": "ccc0e62f4517994ee13429ae257c7748cd83f69d6d9db80bafcbac1bbc4d49ce",
+        "validation": "e66dccb028f5fcb4f41f086404b9cb9379f0db4aec72ef39a8989a342b01a564"
+      },
+      "split_rows": {
+        "train": 3468,
+        "validation": 1092
+      }
+    }
+  },
+  "identity": {
+    "algorithm": "sha256(source_id)[:20]",
+    "core_is_ordered_depth_train_subset": true,
+    "depth_reference_join": "opaque_id"
+  },
+  "max_rows_per_shard": 512,
+  "release_schema_version": "pixcell-hf-release-v2",
+  "schema_version": "pixcell-hf-release-manifest-v2",
+  "shards": [
+    {
+      "configuration": "depth",
+      "path": "depth/data/train-00000-of-00007.parquet",
+      "rows": 512,
+      "sha256": "5ec9cfd7c2d7e77e31862fce8324567c06f854533cdf5c56fabfa4cd160ff0ea",
+      "split": "train"
+    },
+    {
+      "configuration": "depth",
+      "path": "depth/data/train-00001-of-00007.parquet",
+      "rows": 512,
+      "sha256": "de673187b9d20e281b0f3f26a2de06a1825ec6ebda62a69648455f7001f7ebe8",
+      "split": "train"
+    },
+    {
+      "configuration": "depth",
+      "path": "depth/data/train-00002-of-00007.parquet",
+      "rows": 512,
+      "sha256": "ac23b28d5dc2c25544668abedcd99d44fe13d4df5b1a84289a33a776b80c005d",
+      "split": "train"
+    },
+    {
+      "configuration": "depth",
+      "path": "depth/data/train-00003-of-00007.parquet",
+      "rows": 512,
+      "sha256": "b1d2ba738e474927f290ad1e0f55bb94af22ef534e28496143caedf7fba444a2",
+      "split": "train"
+    },
+    {
+      "configuration": "depth",
+      "path": "depth/data/train-00004-of-00007.parquet",
+      "rows": 512,
+      "sha256": "f4cb3dcd33a4e1e2c24d530226295558c30192c18babff180456c94e000f9f95",
+      "split": "train"
+    },
+    {
+      "configuration": "depth",
+      "path": "depth/data/train-00005-of-00007.parquet",
+      "rows": 512,
+      "sha256": "c0f27d4f43ff04bb545b4b22b690b536931c485f7c4df2bf35c47f0116836d49",
+      "split": "train"
+    },
+    {
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+      "rows": 396,
+      "sha256": "ac943e756760a84e01e481b6f4c5d5a7e5aa96ad681ec3e7dedfb934c0b1b8f5",
+      "split": "train"
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+    {
+      "configuration": "depth",
+      "path": "depth/data/validation-00000-of-00003.parquet",
+      "rows": 512,
+      "sha256": "681712fb0891657da3ee7dbc3a3a3ed922ff4609650c21fdf15b84652b27d9fc",
+      "split": "validation"
+    },
+    {
+      "configuration": "depth",
+      "path": "depth/data/validation-00001-of-00003.parquet",
+      "rows": 512,
+      "sha256": "a378cd6278fe72a3c95f2931d1952929ed3004331d84b3d176793cca2f0a91d7",
+      "split": "validation"
+    },
+    {
+      "configuration": "depth",
+      "path": "depth/data/validation-00002-of-00003.parquet",
+      "rows": 68,
+      "sha256": "6f2648d337e05700c7238aec744fa549ea98566474291055a34b531effb77b89",
+      "split": "validation"
+    },
+    {
+      "configuration": "core",
+      "path": "core/data/train-00000-of-00002.parquet",
+      "rows": 512,
+      "sha256": "5ec9cfd7c2d7e77e31862fce8324567c06f854533cdf5c56fabfa4cd160ff0ea",
+      "split": "train"
+    },
+    {
+      "configuration": "core",
+      "path": "core/data/train-00001-of-00002.parquet",
+      "rows": 226,
+      "sha256": "924091f420a1235fdc0ff953a86e4cbc638430e9aef7e30a63c6b8479d4d2923",
+      "split": "train"
+    },
+    {
+      "configuration": "references",
+      "path": "references/data/train-00000-of-00007.parquet",
+      "rows": 512,
+      "sha256": "ad4acfa85ae76a8414c93d237ab9e0bf29aac9e72b022a73eddfaa44b1417327",
+      "split": "train"
+    },
+    {
+      "configuration": "references",
+      "path": "references/data/train-00001-of-00007.parquet",
+      "rows": 512,
+      "sha256": "515dcb12c1b0d715cd389232b8617eb8eb1e34ad9924b89b7df42de13140274a",
+      "split": "train"
+    },
+    {
+      "configuration": "references",
+      "path": "references/data/train-00002-of-00007.parquet",
+      "rows": 512,
+      "sha256": "5f09cd336715cd5d04c654e316b8e0da67799a591bb2f98088fa2fc5b9347be0",
+      "split": "train"
+    },
+    {
+      "configuration": "references",
+      "path": "references/data/train-00003-of-00007.parquet",
+      "rows": 512,
+      "sha256": "dee1b50c73de503bdf1139f4cd0f4f2ee82a24457b8201af680c0d9a206ecb3e",
+      "split": "train"
+    },
+    {
+      "configuration": "references",
+      "path": "references/data/train-00004-of-00007.parquet",
+      "rows": 512,
+      "sha256": "ad089eb69047516d599b44b425780f0ffd40f06521edcd97fa27c14bd75d56f0",
+      "split": "train"
+    },
+    {
+      "configuration": "references",
+      "path": "references/data/train-00005-of-00007.parquet",
+      "rows": 512,
+      "sha256": "6fe181ed4f4a11e3906cbccf5265064dd5d471e7a77fb009b2ce9c86cbd1d869",
+      "split": "train"
+    },
+    {
+      "configuration": "references",
+      "path": "references/data/train-00006-of-00007.parquet",
+      "rows": 396,
+      "sha256": "455fa291895719676d78fe3f13b28dedca7b7a4f7cf49514dd1a86408ba69bff",
+      "split": "train"
+    },
+    {
+      "configuration": "references",
+      "path": "references/data/validation-00000-of-00003.parquet",
+      "rows": 512,
+      "sha256": "e1d886ea6a52a10a5fa7d6b49999c6522873d2a8a6c3e4aeadf5a56c8514ca9b",
+      "split": "validation"
+    },
+    {
+      "configuration": "references",
+      "path": "references/data/validation-00001-of-00003.parquet",
+      "rows": 512,
+      "sha256": "9353e47aeb71d0f46fd5500d8e9c6b88067b9b299a37d8655f2976c037a823cc",
+      "split": "validation"
+    },
+    {
+      "configuration": "references",
+      "path": "references/data/validation-00002-of-00003.parquet",
+      "rows": 68,
+      "sha256": "d57bc44841136159d78ae884a8f939f5f3f3a794e1b9c141531bd7cc04a1d152",
+      "split": "validation"
+    }
+  ],
+  "source": {
+    "core_logical_sha256": "e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89",
+    "depth_logical_sha256": "676c49134d4d044c7d84426cf8eeecf09302e74ca4aa548956f14b7631a4d80b"
+  },
+  "support_files": {
+    ".gitattributes": "003efa8bc20aafd3d619c830e3244bafbfe7668bb2e5eec76cbbe7f13d78795a",
+    "CITATION.cff": "9bd23bdc76d1a1e43c04eff8a21e1b8ef124c9199eba8a48bb6bb5e08d1b0527",
+    "LICENSE": "682ac5b33eb6dd10f8c22aaa9c5c3edf355c1e9e4183c8c1702b2ca5ea354552",
+    "README.md": "0aaafb950395382f7479aa73671df0e5f30d60be4ed992ce2dfffc99b28e0676",
+    "THIRD_PARTY_NOTICES.md": "807185365904ef40c89e6b1d5414b692abc941c25b6384cb4651d1e9fd5cc820",
+    "assets/core.png": "5fe87e14eb72e0a76cb39bcac1d7cc739861948dc299c400f1a746763c2793d9",
+    "assets/depth.png": "4d98499c23cab6dd507052cf3ff915516a1b850e0309c632f4db2b9b0b8115b7"
+  }
+}
diff --git a/metadata/audit_report.json b/metadata/audit_report.json
deleted file mode 100644
index 0ce874379f63326a5aeb0a1587a08df31bbb0993..0000000000000000000000000000000000000000
--- a/metadata/audit_report.json
+++ /dev/null
@@ -1,283 +0,0 @@
-{
-  "absolute_path_or_secret_hits": [],
-  "accepted_only": true,
-  "collision_report": {
-    "d4_equivalent_group_count": 41,
-    "d4_equivalent_groups": [
-      [
-        "l0_01_rectangle__equivariance__mild_portrait",
-        "l0_01_rectangle__semantic__mild_landscape"
-      ],
-      [
-        "l0_01_rectangle__semantic__square",
-        "l0_07_regular_polygon__semantic__sides_4"
-      ],
-      [
-        "l0_02_circle__calibration__large_scale",
-        "l0_02_circle__semantic__disk"
-      ],
-      [
-        "l0_05_triangle__equivariance__x_dominant_mirror_x",
-        "l0_05_triangle__semantic__x_dominant"
-      ],
-      [
-        "l0_06_ellipse__calibration__scaled_x_major",
-        "l0_06_ellipse__semantic__x_major"
-      ],
-      [
-        "l0_08_l_shape__equivariance__x_long_mirror_x",
-        "l0_08_l_shape__equivariance__x_long_mirror_y",
-        "l0_08_l_shape__equivariance__x_long_rot180",
-        "l0_08_l_shape__equivariance__x_long_rot270",
-        "l0_08_l_shape__equivariance__x_long_rot90",
-        "l0_08_l_shape__equivariance__y_long",
-        "l0_08_l_shape__semantic__x_long"
-      ],
-      [
-        "l0_09_straight__calibration__long_thin",
-        "l0_17_path_straight__calibration__long_thin"
-      ],
-      [
-        "l0_09_straight__equivariance__constant_width_rot45",
-        "l0_17_path_straight__equivariance__constant_width_rot45"
-      ],
-      [
-        "l0_09_straight__equivariance__constant_width_rot90",
-        "l0_09_straight__semantic__constant_width",
-        "l0_17_path_straight__equivariance__constant_width_rot90",
-        "l0_17_path_straight__semantic__constant_width"
-      ],
-      [
-        "l0_10_bend_euler__equivariance__angle_neg90",
-        "l0_10_bend_euler__equivariance__angle_pos90_rot180",
-        "l0_10_bend_euler__equivariance__angle_pos90_rot270",
-        "l0_10_bend_euler__semantic__angle_pos90"
-      ],
-      [
-        "l0_11_bend_circular__equivariance__angle_neg90",
-        "l0_11_bend_circular__equivariance__angle_pos90_rot180",
-        "l0_11_bend_circular__equivariance__angle_pos90_rot270",
-        "l0_11_bend_circular__semantic__angle_pos90"
-      ],
-      [
-        "l0_12_bend_s__equivariance__negative_offset",
-        "l0_12_bend_s__semantic__positive_offset"
-      ],
-      [
-        "l0_12_bend_s__equivariance__positive_rot120",
-        "l0_12_bend_s__equivariance__positive_rot30"
-      ],
-      [
-        "l0_13_bezier__equivariance__c_fall",
-        "l0_13_bezier__semantic__c_rise"
-      ],
-      [
-        "l0_13_bezier__equivariance__hook_mirror_x",
-        "l0_13_bezier__equivariance__hook_rot90",
-        "l0_13_bezier__semantic__hook"
-      ],
-      [
-        "l0_14_taper__equivariance__moderate_contract",
-        "l0_14_taper__semantic__moderate_expand"
-      ],
-      [
-        "l0_14_taper__equivariance__moderate_expand_rot270",
-        "l0_14_taper__equivariance__moderate_expand_rot90"
-      ],
-      [
-        "l0_15_coupler_straight__equivariance__medium_gap_rot90",
-        "l0_15_coupler_straight__semantic__medium_gap"
-      ],
-      [
-        "l0_16_path_polyline__equivariance__negative_dogleg",
-        "l0_16_path_polyline__semantic__positive_dogleg"
-      ],
-      [
-        "l0_16_path_polyline__equivariance__staircase_mirror_x",
-        "l0_16_path_polyline__equivariance__staircase_rot90",
-        "l0_16_path_polyline__semantic__staircase"
-      ],
-      [
-        "l0_18_path_arc__equivariance__angle_neg90",
-        "l0_18_path_arc__equivariance__angle_pos90_rot180",
-        "l0_18_path_arc__equivariance__angle_pos90_rot270",
-        "l0_18_path_arc__equivariance__angle_pos90_rot90",
-        "l0_18_path_arc__semantic__angle_pos90"
-      ],
-      [
-        "l0_19_path_euler__equivariance__angle_pos90_rot270",
-        "l0_19_path_euler__equivariance__angle_pos90_rot90",
-        "l0_19_path_euler__semantic__angle_pos90"
-      ],
-      [
-        "l0_20_path_smooth__equivariance__chicane_mirror_x",
-        "l0_20_path_smooth__semantic__chicane"
-      ],
-      [
-        "l0_21_path_spiral__equivariance__loops_2_0_mirror_x",
-        "l0_21_path_spiral__semantic__loops_2_0"
-      ],
-      [
-        "l0_22_path_transition__equivariance__sine_contract",
-        "l0_22_path_transition__semantic__sine_expand"
-      ],
-      [
-        "l1_01_translate__a1__pose",
-        "l1_01_translate__a1__proposal_a"
-      ],
-      [
-        "l1_02_rotate__a1__pose",
-        "l1_02_rotate__a1__proposal_a"
-      ],
-      [
-        "l1_03_mirror__a1__pose",
-        "l1_03_mirror__a1__proposal_a"
-      ],
-      [
-        "l1_05_edge_align__a1__pose",
-        "l1_05_edge_align__a1__proposal_a"
-      ],
-      [
-        "l1_06_gap__a1__pose",
-        "l1_06_gap__a1__proposal_a"
-      ],
-      [
-        "l1_10_path_append__a1__pose",
-        "l1_10_path_append__a1__proposal_b"
-      ],
-      [
-        "l1_17_linear_repetition__a1__pose",
-        "l1_17_linear_repetition__a1__proposal_a"
-      ],
-      [
-        "l1_19_array_2d__a2__pose",
-        "l1_19_array_2d__a2__proposal_a"
-      ],
-      [
-        "l1_24_nested_loop_array__a1__pose",
-        "l1_24_nested_loop_array__a1__proposal_a"
-      ],
-      [
-        "l2_05_fused_overlap__s01__proposal_b",
-        "l2_05_fused_overlap__s01__proposal_b__pose"
-      ],
-      [
-        "l2_06_aligned_cutout__s01__proposal_a",
-        "l2_06_aligned_cutout__s01__proposal_a__pose"
-      ],
-      [
-        "l2_08_nested_boolean_composite__s01__proposal_a",
-        "l2_08_nested_boolean_composite__s01__proposal_a__pose"
-      ],
-      [
-        "l2_09_width_changing_connected_chain__s01__proposal_a",
-        "l2_09_width_changing_connected_chain__s01__proposal_a__pose"
-      ],
-      [
-        "l2_10_signed_turn_connected_chain__s01__proposal_b",
-        "l2_10_signed_turn_connected_chain__s01__proposal_b__pose"
-      ],
-      [
-        "l2_15_approach_parallel_departure_pair__s01__proposal_b",
-        "l2_15_approach_parallel_departure_pair__s01__proposal_b__pose"
-      ],
-      [
-        "l2_16_repeated_carrier_combination__s01__proposal_a",
-        "l2_16_repeated_carrier_combination__s01__proposal_a__pose"
-      ]
-    ],
-    "exact_duplicate_group_count": 5,
-    "exact_duplicate_groups": [
-      [
-        "l0_01_rectangle__semantic__square",
-        "l0_07_regular_polygon__semantic__sides_4"
-      ],
-      [
-        "l0_09_straight__calibration__long_thin",
-        "l0_17_path_straight__calibration__long_thin"
-      ],
-      [
-        "l0_09_straight__equivariance__constant_width_rot45",
-        "l0_17_path_straight__equivariance__constant_width_rot45"
-      ],
-      [
-        "l0_09_straight__equivariance__constant_width_rot90",
-        "l0_17_path_straight__equivariance__constant_width_rot90"
-      ],
-      [
-        "l0_09_straight__semantic__constant_width",
-        "l0_17_path_straight__semantic__constant_width"
-      ]
-    ],
-    "policy": "Exact and D4-equivalent groups are reported rather than silently removed; leakage_group_id is the split boundary. L0 retains explicitly declared cross-API aliases and pose/calibration examples."
-  },
-  "compiled_program_count": 738,
-  "embedded_model_image_count": 738,
-  "embedded_target_image_count": 738,
-  "galleries": {
-    "all": {
-      "path": "galleries/all.png",
-      "rows": 738,
-      "size_px": [
-        3022,
-        25582
-      ]
-    },
-    "l0": {
-      "path": "galleries/l0.png",
-      "rows": 177,
-      "size_px": [
-        2274,
-        8320
-      ]
-    },
-    "l1": {
-      "path": "galleries/l1.png",
-      "rows": 215,
-      "size_px": [
-        2274,
-        9964
-      ]
-    },
-    "l2": {
-      "path": "galleries/l2.png",
-      "rows": 118,
-      "size_px": [
-        2274,
-        5580
-      ]
-    },
-    "l3": {
-      "path": "galleries/l3.png",
-      "rows": 120,
-      "size_px": [
-        2274,
-        5580
-      ]
-    },
-    "l4": {
-      "path": "galleries/l4.png",
-      "rows": 108,
-      "size_px": [
-        2274,
-        5032
-      ]
-    }
-  },
-  "gates": {
-    "all_images_are_embedded": true,
-    "all_images_decode_and_are_nonblank": true,
-    "all_paths_are_release_relative": true,
-    "all_programs_compile": true,
-    "all_programs_pass_purity": true,
-    "all_rows_from_accepted_source_records": true,
-    "all_source_d4_witnesses_match": true
-  },
-  "level_count": 5,
-  "purity_clean_program_count": 738,
-  "release_digest_sha256": "e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89",
-  "row_count": 738,
-  "schema_version": "pixcell-image-code-curriculum-v1",
-  "source_d4_witness_match_count": 738,
-  "unique_id_count": 738
-}
diff --git a/metadata/catalog.json b/metadata/catalog.json
deleted file mode 100644
index 9e84e08b4cb591161e7e715c6a3be889504182f3..0000000000000000000000000000000000000000
--- a/metadata/catalog.json
+++ /dev/null
@@ -1,349 +0,0 @@
-{
-  "accepted_only": true,
-  "canonical_format": "Parquet with embedded PNG bytes",
-  "collision_report": {
-    "d4_equivalent_group_count": 41,
-    "d4_equivalent_groups": [
-      [
-        "l0_01_rectangle__equivariance__mild_portrait",
-        "l0_01_rectangle__semantic__mild_landscape"
-      ],
-      [
-        "l0_01_rectangle__semantic__square",
-        "l0_07_regular_polygon__semantic__sides_4"
-      ],
-      [
-        "l0_02_circle__calibration__large_scale",
-        "l0_02_circle__semantic__disk"
-      ],
-      [
-        "l0_05_triangle__equivariance__x_dominant_mirror_x",
-        "l0_05_triangle__semantic__x_dominant"
-      ],
-      [
-        "l0_06_ellipse__calibration__scaled_x_major",
-        "l0_06_ellipse__semantic__x_major"
-      ],
-      [
-        "l0_08_l_shape__equivariance__x_long_mirror_x",
-        "l0_08_l_shape__equivariance__x_long_mirror_y",
-        "l0_08_l_shape__equivariance__x_long_rot180",
-        "l0_08_l_shape__equivariance__x_long_rot270",
-        "l0_08_l_shape__equivariance__x_long_rot90",
-        "l0_08_l_shape__equivariance__y_long",
-        "l0_08_l_shape__semantic__x_long"
-      ],
-      [
-        "l0_09_straight__calibration__long_thin",
-        "l0_17_path_straight__calibration__long_thin"
-      ],
-      [
-        "l0_09_straight__equivariance__constant_width_rot45",
-        "l0_17_path_straight__equivariance__constant_width_rot45"
-      ],
-      [
-        "l0_09_straight__equivariance__constant_width_rot90",
-        "l0_09_straight__semantic__constant_width",
-        "l0_17_path_straight__equivariance__constant_width_rot90",
-        "l0_17_path_straight__semantic__constant_width"
-      ],
-      [
-        "l0_10_bend_euler__equivariance__angle_neg90",
-        "l0_10_bend_euler__equivariance__angle_pos90_rot180",
-        "l0_10_bend_euler__equivariance__angle_pos90_rot270",
-        "l0_10_bend_euler__semantic__angle_pos90"
-      ],
-      [
-        "l0_11_bend_circular__equivariance__angle_neg90",
-        "l0_11_bend_circular__equivariance__angle_pos90_rot180",
-        "l0_11_bend_circular__equivariance__angle_pos90_rot270",
-        "l0_11_bend_circular__semantic__angle_pos90"
-      ],
-      [
-        "l0_12_bend_s__equivariance__negative_offset",
-        "l0_12_bend_s__semantic__positive_offset"
-      ],
-      [
-        "l0_12_bend_s__equivariance__positive_rot120",
-        "l0_12_bend_s__equivariance__positive_rot30"
-      ],
-      [
-        "l0_13_bezier__equivariance__c_fall",
-        "l0_13_bezier__semantic__c_rise"
-      ],
-      [
-        "l0_13_bezier__equivariance__hook_mirror_x",
-        "l0_13_bezier__equivariance__hook_rot90",
-        "l0_13_bezier__semantic__hook"
-      ],
-      [
-        "l0_14_taper__equivariance__moderate_contract",
-        "l0_14_taper__semantic__moderate_expand"
-      ],
-      [
-        "l0_14_taper__equivariance__moderate_expand_rot270",
-        "l0_14_taper__equivariance__moderate_expand_rot90"
-      ],
-      [
-        "l0_15_coupler_straight__equivariance__medium_gap_rot90",
-        "l0_15_coupler_straight__semantic__medium_gap"
-      ],
-      [
-        "l0_16_path_polyline__equivariance__negative_dogleg",
-        "l0_16_path_polyline__semantic__positive_dogleg"
-      ],
-      [
-        "l0_16_path_polyline__equivariance__staircase_mirror_x",
-        "l0_16_path_polyline__equivariance__staircase_rot90",
-        "l0_16_path_polyline__semantic__staircase"
-      ],
-      [
-        "l0_18_path_arc__equivariance__angle_neg90",
-        "l0_18_path_arc__equivariance__angle_pos90_rot180",
-        "l0_18_path_arc__equivariance__angle_pos90_rot270",
-        "l0_18_path_arc__equivariance__angle_pos90_rot90",
-        "l0_18_path_arc__semantic__angle_pos90"
-      ],
-      [
-        "l0_19_path_euler__equivariance__angle_pos90_rot270",
-        "l0_19_path_euler__equivariance__angle_pos90_rot90",
-        "l0_19_path_euler__semantic__angle_pos90"
-      ],
-      [
-        "l0_20_path_smooth__equivariance__chicane_mirror_x",
-        "l0_20_path_smooth__semantic__chicane"
-      ],
-      [
-        "l0_21_path_spiral__equivariance__loops_2_0_mirror_x",
-        "l0_21_path_spiral__semantic__loops_2_0"
-      ],
-      [
-        "l0_22_path_transition__equivariance__sine_contract",
-        "l0_22_path_transition__semantic__sine_expand"
-      ],
-      [
-        "l1_01_translate__a1__pose",
-        "l1_01_translate__a1__proposal_a"
-      ],
-      [
-        "l1_02_rotate__a1__pose",
-        "l1_02_rotate__a1__proposal_a"
-      ],
-      [
-        "l1_03_mirror__a1__pose",
-        "l1_03_mirror__a1__proposal_a"
-      ],
-      [
-        "l1_05_edge_align__a1__pose",
-        "l1_05_edge_align__a1__proposal_a"
-      ],
-      [
-        "l1_06_gap__a1__pose",
-        "l1_06_gap__a1__proposal_a"
-      ],
-      [
-        "l1_10_path_append__a1__pose",
-        "l1_10_path_append__a1__proposal_b"
-      ],
-      [
-        "l1_17_linear_repetition__a1__pose",
-        "l1_17_linear_repetition__a1__proposal_a"
-      ],
-      [
-        "l1_19_array_2d__a2__pose",
-        "l1_19_array_2d__a2__proposal_a"
-      ],
-      [
-        "l1_24_nested_loop_array__a1__pose",
-        "l1_24_nested_loop_array__a1__proposal_a"
-      ],
-      [
-        "l2_05_fused_overlap__s01__proposal_b",
-        "l2_05_fused_overlap__s01__proposal_b__pose"
-      ],
-      [
-        "l2_06_aligned_cutout__s01__proposal_a",
-        "l2_06_aligned_cutout__s01__proposal_a__pose"
-      ],
-      [
-        "l2_08_nested_boolean_composite__s01__proposal_a",
-        "l2_08_nested_boolean_composite__s01__proposal_a__pose"
-      ],
-      [
-        "l2_09_width_changing_connected_chain__s01__proposal_a",
-        "l2_09_width_changing_connected_chain__s01__proposal_a__pose"
-      ],
-      [
-        "l2_10_signed_turn_connected_chain__s01__proposal_b",
-        "l2_10_signed_turn_connected_chain__s01__proposal_b__pose"
-      ],
-      [
-        "l2_15_approach_parallel_departure_pair__s01__proposal_b",
-        "l2_15_approach_parallel_departure_pair__s01__proposal_b__pose"
-      ],
-      [
-        "l2_16_repeated_carrier_combination__s01__proposal_a",
-        "l2_16_repeated_carrier_combination__s01__proposal_a__pose"
-      ]
-    ],
-    "exact_duplicate_group_count": 5,
-    "exact_duplicate_groups": [
-      [
-        "l0_01_rectangle__semantic__square",
-        "l0_07_regular_polygon__semantic__sides_4"
-      ],
-      [
-        "l0_09_straight__calibration__long_thin",
-        "l0_17_path_straight__calibration__long_thin"
-      ],
-      [
-        "l0_09_straight__equivariance__constant_width_rot45",
-        "l0_17_path_straight__equivariance__constant_width_rot45"
-      ],
-      [
-        "l0_09_straight__equivariance__constant_width_rot90",
-        "l0_17_path_straight__equivariance__constant_width_rot90"
-      ],
-      [
-        "l0_09_straight__semantic__constant_width",
-        "l0_17_path_straight__semantic__constant_width"
-      ]
-    ],
-    "policy": "Exact and D4-equivalent groups are reported rather than silently removed; leakage_group_id is the split boundary. L0 retains explicitly declared cross-API aliases and pose/calibration examples."
-  },
-  "columns": [
-    "schema_version",
-    "id",
-    "level",
-    "curriculum_order",
-    "image",
-    "target_image",
-    "code",
-    "code_language",
-    "instruction",
-    "label",
-    "family",
-    "concept_id",
-    "representation_id",
-    "grammar_id",
-    "leakage_group_id",
-    "variation_role",
-    "primitive_calls",
-    "prerequisite_ids",
-    "port_signature_json",
-    "footprint_um",
-    "parameters_json",
-    "topology_json",
-    "metadata_json",
-    "image_sha256",
-    "target_image_sha256",
-    "code_sha256",
-    "normalized_d4_sha256",
-    "view_policy",
-    "source_dataset_digest_sha256",
-    "source_generator_version"
-  ],
-  "configurations": [
-    "all",
-    "core-v1",
-    "l0",
-    "l1",
-    "l2",
-    "l3",
-    "l4"
-  ],
-  "levels": {
-    "l0": {
-      "family_counts": {
-        "Primitive catalog": 177
-      },
-      "row_count": 177,
-      "source_dataset_digest_sha256": "495b2c8f4864199213a888a5f8323db08525c76213552f919e901e386784ea76",
-      "source_generator_version": "pixcell-l0-factor-bank-builder-2-dd48a6525ceb72ea",
-      "source_report_sha256": "819f1ef1cedac033d013060159754ca9eac3a31d5690d0bbc893a4c5ad62ae44",
-      "variation_role_counts": {
-        "calibration": 10,
-        "equivariance": 74,
-        "semantic": 93
-      }
-    },
-    "l1": {
-      "family_counts": {
-        "Primitive operations": 215
-      },
-      "row_count": 215,
-      "source_dataset_digest_sha256": "30765ca9366965807b65e321a7492afe6d2f8e7ae0c9fbc3a629e4641a771bc1",
-      "source_generator_version": "pixcell-l1-bank-builder-1-dcf913da8ca65b1a",
-      "source_report_sha256": "7bcd935cccb556be15eead699ad5ef5fbf3eb9484e3c82840e64c3b0af623507",
-      "variation_role_counts": {
-        "equivariance": 71,
-        "realization": 17,
-        "semantic": 127
-      }
-    },
-    "l2": {
-      "family_counts": {
-        "Algorithmic patterns": 30,
-        "Connected/path motifs": 46,
-        "Constructive morphology": 26,
-        "Relational assemblies": 16
-      },
-      "row_count": 118,
-      "source_dataset_digest_sha256": "05737221cfc0aeb3ef08efc64504d3db031530f5cef1496a48b0239ad23d6b46",
-      "source_generator_version": "pixcell-l2-factor-bank-builder-1-e320d1221a94dbf7",
-      "source_report_sha256": "bbdb4916fbf5a3e38c4dcb36f55902387001afffe8ff751e9c6f38f6ab85140c",
-      "variation_role_counts": {
-        "equivariance": 19,
-        "semantic": 99
-      }
-    },
-    "l3": {
-      "family_counts": {
-        "Constructive body-route systems": 42,
-        "Hierarchical flow networks": 30,
-        "Hierarchical repeated media": 30,
-        "Radial and multi-axis hierarchy": 18
-      },
-      "row_count": 120,
-      "source_dataset_digest_sha256": "aa696edde9a6bc5ee0c5275d9a7f05eed2a1bc56c600791ebb5c51a3d4953fc6",
-      "source_generator_version": "pixcell-l3-factor-bank-builder-2-f6a6f8f6a5bb16cd",
-      "source_report_sha256": "ff0fb1863a3406c7794983ec948f965e27c836a65e446b653127eb4bef400bd9",
-      "variation_role_counts": {
-        "semantic": 120
-      }
-    },
-    "l4": {
-      "family_counts": {
-        "Adiabatic Multi Rail Couplers": 6,
-        "Bragg Swg Repeated Media": 7,
-        "Branch Junction Splitters": 5,
-        "Conventional Directional Couplers": 6,
-        "Coupled Structured Loop Resonators": 6,
-        "Curved Mixed Edge Directional Couplers": 3,
-        "Defect Cavities": 6,
-        "Edge Couplers": 6,
-        "Focusing Lattice Grating Couplers": 5,
-        "Free Propagation Slab Star Couplers": 5,
-        "Hierarchical Material Splitters": 5,
-        "Linear Tapered Grating Couplers": 4,
-        "Mmi Splitters Hybrids": 9,
-        "Mode Material Converters": 6,
-        "Mzi Interferometers": 8,
-        "Periodic Structured Couplers": 5,
-        "Single Loop Resonators": 6,
-        "Waveguide Crossings": 10
-      },
-      "row_count": 108,
-      "source_dataset_digest_sha256": "8db07b0730b3864a3f864abf08eb5fcf94c144ffcea5d3224590560d429c836f",
-      "source_generator_version": "pixcell-l4-core108-builder-1-b8eee25fde98ba18",
-      "source_report_sha256": "8e92bc0c071ccc54000bc3a5dcd2317d70382f510a19eea5bc66005aaaf52659",
-      "variation_role_counts": {
-        "semantic": 108
-      }
-    }
-  },
-  "release_digest_sha256": "e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89",
-  "schema_version": "pixcell-image-code-curriculum-v1",
-  "total_representation_ids": 547,
-  "total_rows": 738
-}
diff --git a/metadata/checksums.sha256 b/metadata/checksums.sha256
deleted file mode 100644
index d8c1b644af32882a8ec4ff02c527af270531d46e..0000000000000000000000000000000000000000
--- a/metadata/checksums.sha256
+++ /dev/null
@@ -1,121 +0,0 @@
-f8faecf2505680716c6279bf2cdec3d5a5ba2ba852f0d7df45d51ac1ce8d9ade  .python-version
-a22619bb6911918745af82f87a8f9c95b3ba58cf316c94cbc8d14cb08aab68df  CITATION.cff
-682ac5b33eb6dd10f8c22aaa9c5c3edf355c1e9e4183c8c1702b2ca5ea354552  LICENSE
-9b0774b43025ef082d01d1a8fdfaf16d2db0cf2d88b3994af3f2c21c3f0719ae  README.md
-807185365904ef40c89e6b1d5414b692abc941c25b6384cb4651d1e9fd5cc820  THIRD_PARTY_NOTICES.md
-e0c5bda1b192a901349aeda2cf9287e22d62b5b791c421955e2ffba9ca2785da  data/l0/train-00000-of-00001.parquet
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diff --git a/metadata/source_reports/l0.json b/metadata/source_reports/l0.json
deleted file mode 100644
index 9d88b2cac3d7bf961f353e7d0377f932f4022455..0000000000000000000000000000000000000000
--- a/metadata/source_reports/l0.json
+++ /dev/null
@@ -1,103 +0,0 @@
-{
-  "audit": {
-    "accepted_only": true,
-    "candidate_count": 177,
-    "compiled": 177,
-    "conductor_reexecuted": 177,
-    "dataset_digest_sha256": "495b2c8f4864199213a888a5f8323db08525c76213552f919e901e386784ea76",
-    "declared_program_target_count": 177,
-    "distinct_exact_model_image_count": 172,
-    "duplicate_telemetry": {
-      "d4_equivalent_group_count": 25,
-      "distinct_d4_silhouettes": 135,
-      "distinct_exact_model_views": 172,
-      "exact_duplicate_group_count": 5,
-      "exact_duplicate_groups": [
-        [
-          "l0_01_rectangle__semantic__square",
-          "l0_07_regular_polygon__semantic__sides_4"
-        ],
-        [
-          "l0_09_straight__semantic__constant_width",
-          "l0_17_path_straight__semantic__constant_width"
-        ],
-        [
-          "l0_09_straight__equivariance__constant_width_rot90",
-          "l0_17_path_straight__equivariance__constant_width_rot90"
-        ],
-        [
-          "l0_09_straight__equivariance__constant_width_rot45",
-          "l0_17_path_straight__equivariance__constant_width_rot45"
-        ],
-        [
-          "l0_09_straight__calibration__long_thin",
-          "l0_17_path_straight__calibration__long_thin"
-        ]
-      ],
-      "policy": "same-grammar calibration/pose duplicates and explicitly tagged cross-API aliases are retained; all other exact duplicates fail"
-    },
-    "exact_views_verified": 177,
-    "model_image_count": 177,
-    "primitive_count": 22,
-    "purity_clean": 177,
-    "representation_orbit_count": 135,
-    "role_counts": {
-      "calibration": 10,
-      "equivariance": 74,
-      "semantic": 93
-    },
-    "schema_version": "pixcell-l0-bank-audit-1",
-    "semantic_grammar_count": 93,
-    "semantic_representation_orbit_count": 91,
-    "visual_target_count": 173
-  },
-  "exported_row_count": 177,
-  "level": "L0",
-  "manifest": {
-    "candidate_count": 177,
-    "dataset_digest_sha256": "495b2c8f4864199213a888a5f8323db08525c76213552f919e901e386784ea76",
-    "duplicate_telemetry": {
-      "d4_equivalent_group_count": 25,
-      "distinct_d4_silhouettes": 135,
-      "distinct_exact_model_views": 172,
-      "exact_duplicate_group_count": 5,
-      "exact_duplicate_groups": [
-        [
-          "l0_01_rectangle__semantic__square",
-          "l0_07_regular_polygon__semantic__sides_4"
-        ],
-        [
-          "l0_09_straight__semantic__constant_width",
-          "l0_17_path_straight__semantic__constant_width"
-        ],
-        [
-          "l0_09_straight__equivariance__constant_width_rot90",
-          "l0_17_path_straight__equivariance__constant_width_rot90"
-        ],
-        [
-          "l0_09_straight__equivariance__constant_width_rot45",
-          "l0_17_path_straight__equivariance__constant_width_rot45"
-        ],
-        [
-          "l0_09_straight__calibration__long_thin",
-          "l0_17_path_straight__calibration__long_thin"
-        ]
-      ],
-      "policy": "same-grammar calibration/pose duplicates and explicitly tagged cross-API aliases are retained; all other exact duplicates fail"
-    },
-    "generator_source_sha256": "dd48a6525ceb72ea880bf5f1e519b2c96c0ff434b295d6100b50fa7270d73a34",
-    "generator_version": "pixcell-l0-factor-bank-builder-2-dd48a6525ceb72ea",
-    "level": "L0",
-    "primitive_count": 22,
-    "role_counts": {
-      "calibration": 10,
-      "equivariance": 74,
-      "semantic": 93
-    },
-    "schema_version": "pixcell-l0-factor-bank-1",
-    "selection_policy": "all approved L0 semantic grammars, capped pose siblings, and physical-scale calibration pairs; no parameter-jitter volume",
-    "semantic_grammar_count": 93,
-    "status": "accepted_only",
-    "view_policy": "max_visible_v1"
-  }
-}
diff --git a/metadata/source_reports/l1.json b/metadata/source_reports/l1.json
deleted file mode 100644
index 2c4ea7a53bb4f9dd4b291312f5e3bc1a3f8e2287..0000000000000000000000000000000000000000
--- a/metadata/source_reports/l1.json
+++ /dev/null
@@ -1,64 +0,0 @@
-{
-  "audit": {
-    "accepted_only": true,
-    "base_example_count": 144,
-    "base_proposals_ledgered": 288,
-    "compiled": 215,
-    "conductor_reexecuted": 215,
-    "dataset_digest_sha256": "30765ca9366965807b65e321a7492afe6d2f8e7ae0c9fbc3a629e4641a771bc1",
-    "declared_visual_target_count": 215,
-    "distinct_exact_model_image_count": 215,
-    "duplicate_telemetry": {
-      "allowed_cross_grammar_pairs_observed": [],
-      "distinct_exact_model_images": 215,
-      "exact_duplicate_group_count": 0,
-      "exact_duplicate_groups": [],
-      "policy": "same-grammar images are one leakage group; exact cross-grammar images require an explicitly shared leakage group or allowlist pair",
-      "shared_leakage_cross_grammar_aliases": []
-    },
-    "exact_views_verified": 215,
-    "model_image_count": 215,
-    "operation_count": 24,
-    "pose_count": 71,
-    "pose_image_count": 71,
-    "proposal_evidence_verified": 359,
-    "proposal_ledger_sha256": "5c800ce49276b3aaba43da135fc42a4a15c008ba9fc556b2e5be4637eeb635f8",
-    "public_task_count": 215,
-    "purity_clean": 215,
-    "realization_example_count": 17,
-    "rendered_visual_target_count": 215,
-    "representation_orbit_count": 206,
-    "schema_version": "pixcell-l1-bank-audit-1",
-    "selected_base_count": 144,
-    "semantic_base_example_count": 127,
-    "semantic_grammar_count": 127
-  },
-  "exported_row_count": 215,
-  "level": "L1",
-  "manifest": {
-    "dataset_digest_sha256": "30765ca9366965807b65e321a7492afe6d2f8e7ae0c9fbc3a629e4641a771bc1",
-    "duplicate_telemetry": {
-      "allowed_cross_grammar_pairs_observed": [],
-      "distinct_exact_model_images": 215,
-      "exact_duplicate_group_count": 0,
-      "exact_duplicate_groups": [],
-      "policy": "same-grammar images are one leakage group; exact cross-grammar images require an explicitly shared leakage group or allowlist pair",
-      "shared_leakage_cross_grammar_aliases": []
-    },
-    "generator_source_sha256": "dcf913da8ca65b1a254c321a51dca8105304de878d4796c807778027b7dafd9f",
-    "generator_version": "pixcell-l1-bank-builder-1-dcf913da8ca65b1a",
-    "level": "L1",
-    "operation_count": 24,
-    "public_role_counts": {
-      "equivariance": 71,
-      "realization": 17,
-      "semantic_base": 127
-    },
-    "public_task_count": 215,
-    "schema_version": "pixcell-l1-factor-bank-1",
-    "selection_policy": "compile and hard-gate both authored proposals in each explicit slot; use only a stable source-derived SHA-256 tie-break when both pass; add only the safe audited registry pose subset",
-    "semantic_grammar_count": 127,
-    "status": "accepted_only",
-    "view_policy": "max_visible_v1"
-  }
-}
diff --git a/metadata/source_reports/l2.json b/metadata/source_reports/l2.json
deleted file mode 100644
index 14a4bcc810be167c08e1ffeca5a80107aa20651b..0000000000000000000000000000000000000000
--- a/metadata/source_reports/l2.json
+++ /dev/null
@@ -1,86 +0,0 @@
-{
-  "audit": {
-    "accepted_only": true,
-    "analytic_witnesses_verified": 118,
-    "base_example_count": 99,
-    "base_proposals_ledgered": 198,
-    "compiled": 118,
-    "composition_count": 19,
-    "conductor_reexecuted": 118,
-    "dataset_digest_sha256": "05737221cfc0aeb3ef08efc64504d3db031530f5cef1496a48b0239ad23d6b46",
-    "declared_visual_target_count": 118,
-    "distinct_exact_model_image_count": 118,
-    "duplicate_telemetry": {
-      "cross_level_d4_collision_count": 0,
-      "cross_level_exact_collision_count": 0,
-      "d4_equivalent_group_count": 19,
-      "distinct_exact_model_images": 118,
-      "exact_duplicate_group_count": 0,
-      "lower_bank_manifest_sha256": {
-        "L0": "cb8649b5bf483a3e4bb7512e1e3af2bcba0bcb1df9a7185e3cbddbaf91791053",
-        "L1": "cafd270b4475c79827969c04dbf3433405731d0bc1cd3fb319f73c1475a31584"
-      },
-      "policy": "99 selected semantic bases occupy 99 exact and D4-distinct representations; every pose is exact-distinct but D4-equivalent to its parent; every public L2 view is absent from L0/L1",
-      "pose_parent_d4_iou_min": 0.998718169,
-      "representation_orbit_count": 99,
-      "semantic_base_d4_orbit_count": 99,
-      "semantic_base_exact_image_count": 99,
-      "semantic_cross_grammar_d4_group_count": 0
-    },
-    "exact_views_verified": 118,
-    "model_image_count": 118,
-    "pose_count": 19,
-    "pose_image_count": 19,
-    "proposal_evidence_verified": 217,
-    "proposal_ledger_sha256": "83c160bddd175e10eb5e4ec376a0af62d88b2839e7a598d42c7b88d4d4235474",
-    "public_task_count": 118,
-    "purity_clean": 118,
-    "realization_count": 0,
-    "realization_example_count": 0,
-    "rendered_visual_target_count": 118,
-    "representation_orbit_count": 99,
-    "schema_version": "pixcell-l2-bank-audit-1",
-    "selected_base_count": 99,
-    "selection_slot_count": 99,
-    "semantic_base_example_count": 99,
-    "semantic_grammar_count": 99,
-    "source_operation_closure_verified": 118
-  },
-  "exported_row_count": 118,
-  "level": "L2",
-  "manifest": {
-    "composition_count": 19,
-    "dataset_digest_sha256": "05737221cfc0aeb3ef08efc64504d3db031530f5cef1496a48b0239ad23d6b46",
-    "duplicate_telemetry": {
-      "cross_level_d4_collision_count": 0,
-      "cross_level_exact_collision_count": 0,
-      "d4_equivalent_group_count": 19,
-      "distinct_exact_model_images": 118,
-      "exact_duplicate_group_count": 0,
-      "lower_bank_manifest_sha256": {
-        "L0": "cb8649b5bf483a3e4bb7512e1e3af2bcba0bcb1df9a7185e3cbddbaf91791053",
-        "L1": "cafd270b4475c79827969c04dbf3433405731d0bc1cd3fb319f73c1475a31584"
-      },
-      "policy": "99 selected semantic bases occupy 99 exact and D4-distinct representations; every pose is exact-distinct but D4-equivalent to its parent; every public L2 view is absent from L0/L1",
-      "pose_parent_d4_iou_min": 0.998718169,
-      "representation_orbit_count": 99,
-      "semantic_base_d4_orbit_count": 99,
-      "semantic_base_exact_image_count": 99,
-      "semantic_cross_grammar_d4_group_count": 0
-    },
-    "generator_source_sha256": "e320d1221a94dbf7190116632a2299d0a465f5f1beeecec1e10cc8b476c47a73",
-    "generator_version": "pixcell-l2-factor-bank-builder-1-e320d1221a94dbf7",
-    "level": "L2",
-    "public_role_counts": {
-      "equivariance": 19,
-      "realization": 0,
-      "semantic_base": 99
-    },
-    "public_task_count": 118,
-    "schema_version": "pixcell-l2-factor-bank-1",
-    "selection_policy": "compile and hard-gate two authored proposals per semantic slot; use a source-derived stable SHA-256 tie-break only when both pass; publish no parameter-only realization slots and add only the capped safe pose subset",
-    "semantic_grammar_count": 99,
-    "status": "accepted_only",
-    "view_policy": "max_visible_v1"
-  }
-}
diff --git a/metadata/source_reports/l3.json b/metadata/source_reports/l3.json
deleted file mode 100644
index f1785b73fcffab94a86a575fe3fd68db5aa5c253..0000000000000000000000000000000000000000
--- a/metadata/source_reports/l3.json
+++ /dev/null
@@ -1,1146 +0,0 @@
-{
-  "audit": {
-    "all_meta_card_ids_are_scene_grammars": true,
-    "all_meta_omit_realization_id": true,
-    "card_count": 120,
-    "cross_level_d4_collision_count": 0,
-    "cross_level_exact_collision_count": 0,
-    "d4_equivalent_group_count": 0,
-    "dataset_digest_sha256": "aa696edde9a6bc5ee0c5275d9a7f05eed2a1bc56c600791ebb5c51a3d4953fc6",
-    "exact_duplicate_group_count": 0,
-    "generator_source_sha256": "f6a6f8f6a5bb16cd72057a365bd05524560df4a7286be27c7173587023be196c",
-    "generator_version": "pixcell-l3-factor-bank-builder-2-f6a6f8f6a5bb16cd",
-    "identity_count": 20,
-    "level": "L3",
-    "passed": true,
-    "records": [
-      {
-        "candidate_id": "l3_01_serial_heterogeneous_chain_s01",
-        "card_id": "l3_01_serial_heterogeneous_chain_s01",
-        "model_view_pixel_sha256": "84388334a89930f8e13f485c769c3d9b402c8f4df46a93d1824e54419a2facd1",
-        "normalized_d4_mask_sha256": "0234c028849e039dc762efe992504d5b2f94022299aa806185ef2df8a4c59920",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_01_serial_heterogeneous_chain_s01_000"
-      },
-      {
-        "candidate_id": "l3_01_serial_heterogeneous_chain_s02",
-        "card_id": "l3_01_serial_heterogeneous_chain_s02",
-        "model_view_pixel_sha256": "5194a47f1ca5995db992561719dcf57a698c29398093c7770359a23738c9391c",
-        "normalized_d4_mask_sha256": "035560d7ba619b591c21ce3a9a7174cfa48f2cb9af6a0fe5678d7b1ca1f3a89e",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_01_serial_heterogeneous_chain_s02_000"
-      },
-      {
-        "candidate_id": "l3_01_serial_heterogeneous_chain_s03",
-        "card_id": "l3_01_serial_heterogeneous_chain_s03",
-        "model_view_pixel_sha256": "0b127ae15d2283263bd2f115b0433f09d9797a39d08c40602f1a5160ee8876f9",
-        "normalized_d4_mask_sha256": "2548eaf98731809d92456a765528542ddedf5627214b76bb077a15379a3d74d7",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_01_serial_heterogeneous_chain_s03_000"
-      },
-      {
-        "candidate_id": "l3_01_serial_heterogeneous_chain_s04",
-        "card_id": "l3_01_serial_heterogeneous_chain_s04",
-        "model_view_pixel_sha256": "c664108025649c69b69a57a143cbd1c32c7ce6eefa1e2488bd6f2166a6134d97",
-        "normalized_d4_mask_sha256": "38a7ce106b4d3081cf843049c6b760ca4d6b18cd50b92654587d14e9f48eabe3",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_01_serial_heterogeneous_chain_s04_000"
-      },
-      {
-        "candidate_id": "l3_01_serial_heterogeneous_chain_s05",
-        "card_id": "l3_01_serial_heterogeneous_chain_s05",
-        "model_view_pixel_sha256": "6f86660551390bd51d3962ed704fa97d7c0ea4fb32f2eb4dc43dc76b987f7ff4",
-        "normalized_d4_mask_sha256": "07f148bddf1104210d8a7e261dce491b5c14062611b320afe96587e0da17a0d9",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_01_serial_heterogeneous_chain_s05_000"
-      },
-      {
-        "candidate_id": "l3_01_serial_heterogeneous_chain_s06",
-        "card_id": "l3_01_serial_heterogeneous_chain_s06",
-        "model_view_pixel_sha256": "06cb7e33c373ff1342814fbb7dc8a9e9e13f538f2d17ebc8221004b3e59e00dc",
-        "normalized_d4_mask_sha256": "034ed9c3fab49106b5249bd84f39ddea593ec30a981b2f689fa62063d603a6c0",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_01_serial_heterogeneous_chain_s06_000"
-      },
-      {
-        "candidate_id": "l3_02_parallel_reconvergent_bundle_s01",
-        "card_id": "l3_02_parallel_reconvergent_bundle_s01",
-        "model_view_pixel_sha256": "f5bfacc6a8cdbc2671e90740e2dde40d4bbb8a0596d1f37623463661485ab8fa",
-        "normalized_d4_mask_sha256": "8f34d50a92aaef84ebb5d0c5f46971a31e7ba86947adf2b228a9e712103b6d90",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_02_parallel_reconvergent_bundle_s01_000"
-      },
-      {
-        "candidate_id": "l3_02_parallel_reconvergent_bundle_s02",
-        "card_id": "l3_02_parallel_reconvergent_bundle_s02",
-        "model_view_pixel_sha256": "467a5bd6d6d51477dc8efea11770efcf1d3ca62032a579372ee60ac152eaf7df",
-        "normalized_d4_mask_sha256": "08f545f87d9755604836cd3be5184939f97849cfd6996af650666fd940c5adea",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_02_parallel_reconvergent_bundle_s02_000"
-      },
-      {
-        "candidate_id": "l3_02_parallel_reconvergent_bundle_s03",
-        "card_id": "l3_02_parallel_reconvergent_bundle_s03",
-        "model_view_pixel_sha256": "b136e9a28a1fd5edc6bc5b7eadeec8313d91720fa3a7e872218438df58b32f96",
-        "normalized_d4_mask_sha256": "11a5ab9ec02de13833aabda755e0094ec3469519790793aa1852236c24132d70",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_02_parallel_reconvergent_bundle_s03_000"
-      },
-      {
-        "candidate_id": "l3_02_parallel_reconvergent_bundle_s04",
-        "card_id": "l3_02_parallel_reconvergent_bundle_s04",
-        "model_view_pixel_sha256": "6e496ba5b3ae004f1619a3cd619590e29063b9341c38627c529f4002278223b8",
-        "normalized_d4_mask_sha256": "381d12d9a6ce8110133f833bea20b4103d580016c7342048f48e6d04e0ef98b6",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_02_parallel_reconvergent_bundle_s04_000"
-      },
-      {
-        "candidate_id": "l3_02_parallel_reconvergent_bundle_s05",
-        "card_id": "l3_02_parallel_reconvergent_bundle_s05",
-        "model_view_pixel_sha256": "c2e4cdd5171e2848c9269f9224543fae7722db2790aa1201024a487dfe131096",
-        "normalized_d4_mask_sha256": "48fb8697bdf7a6ef1a0ed3b7e1bdef60723be6aab3292c5910518594e7a47ef7",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_02_parallel_reconvergent_bundle_s05_000"
-      },
-      {
-        "candidate_id": "l3_02_parallel_reconvergent_bundle_s06",
-        "card_id": "l3_02_parallel_reconvergent_bundle_s06",
-        "model_view_pixel_sha256": "20241c40d5ddf13f73d0656d00394db58fcea89b3023a0d11f11697a02b9e9c9",
-        "normalized_d4_mask_sha256": "1150ae0c1ce0632fa2d3e3dfe93a25b656d6965ac45a8333ca51c1ef92b72ea6",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_02_parallel_reconvergent_bundle_s06_000"
-      },
-      {
-        "candidate_id": "l3_03_recursive_asymmetric_branch_hierarchy_s01",
-        "card_id": "l3_03_recursive_asymmetric_branch_hierarchy_s01",
-        "model_view_pixel_sha256": "6701369e78d95caa1ab0c23b1424eaabbb808c46ed9d2efa90b4508f31eb4eb2",
-        "normalized_d4_mask_sha256": "0c5088d3ff1d5f3014881e15fd4c463e40e41098ac647e38cc0c93f70feae53b",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_03_recursive_asymmetric_branch_hierarchy_s01_000"
-      },
-      {
-        "candidate_id": "l3_03_recursive_asymmetric_branch_hierarchy_s02",
-        "card_id": "l3_03_recursive_asymmetric_branch_hierarchy_s02",
-        "model_view_pixel_sha256": "68c82c15f56d827e591fc0224ec0f58f0bf34caf188cf3a7fc0470c3f3236a86",
-        "normalized_d4_mask_sha256": "210a154969446c8711946abde335966792aa9cca7f46ba8df01fb7144f7da08d",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_03_recursive_asymmetric_branch_hierarchy_s02_000"
-      },
-      {
-        "candidate_id": "l3_03_recursive_asymmetric_branch_hierarchy_s03",
-        "card_id": "l3_03_recursive_asymmetric_branch_hierarchy_s03",
-        "model_view_pixel_sha256": "612e4fc7ffae6b54643989d5cfa83faba9124e13ce0c80d3e7aa1809becf12ad",
-        "normalized_d4_mask_sha256": "236b58388a6754a350ce5de2c75fb5f7e396de0747f86da9428c32e59311b3c3",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_03_recursive_asymmetric_branch_hierarchy_s03_000"
-      },
-      {
-        "candidate_id": "l3_03_recursive_asymmetric_branch_hierarchy_s04",
-        "card_id": "l3_03_recursive_asymmetric_branch_hierarchy_s04",
-        "model_view_pixel_sha256": "e643b916befaa2633bb5d727a1367f35b56f6fd14c47c4f9731f3a9b27204113",
-        "normalized_d4_mask_sha256": "2d8df9f2db600353e24c38ea9da4f886de751d0fba81608e7d2eb9f9f6917314",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_03_recursive_asymmetric_branch_hierarchy_s04_000"
-      },
-      {
-        "candidate_id": "l3_03_recursive_asymmetric_branch_hierarchy_s05",
-        "card_id": "l3_03_recursive_asymmetric_branch_hierarchy_s05",
-        "model_view_pixel_sha256": "226d16a43b069e347788e088e9a4066ff79926b07cc17b80807f7bcd34dccd24",
-        "normalized_d4_mask_sha256": "1a8ba39a46aee0486fc64c3d894ebe0ad21a47b5d6d523306087a0fde52b6e3e",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_03_recursive_asymmetric_branch_hierarchy_s05_000"
-      },
-      {
-        "candidate_id": "l3_03_recursive_asymmetric_branch_hierarchy_s06",
-        "card_id": "l3_03_recursive_asymmetric_branch_hierarchy_s06",
-        "model_view_pixel_sha256": "8afeacb7ff7060270d5bf5fd6755adfaf2fc82e415fd031e772b58152c255ed4",
-        "normalized_d4_mask_sha256": "11cd54eed37584efaddedb3d9dd693002aed236f411282f9cced4f7caf4fe29d",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_03_recursive_asymmetric_branch_hierarchy_s06_000"
-      },
-      {
-        "candidate_id": "l3_04_persistent_trunk_with_side_branches_s01",
-        "card_id": "l3_04_persistent_trunk_with_side_branches_s01",
-        "model_view_pixel_sha256": "f53b7d651348236a82471f40cfbe8965aa5f111cea86ba2f8a082db99690b30f",
-        "normalized_d4_mask_sha256": "230c28c42f4e0c295189a9408cdf696533dcd18c187a0215e563071ac0426b0b",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_04_persistent_trunk_with_side_branches_s01_000"
-      },
-      {
-        "candidate_id": "l3_04_persistent_trunk_with_side_branches_s02",
-        "card_id": "l3_04_persistent_trunk_with_side_branches_s02",
-        "model_view_pixel_sha256": "f876cda2490b47ce157c157966b2f7b744f8602c3329a033edcb2cc3902c348d",
-        "normalized_d4_mask_sha256": "188902eeae3a47c3bf94f465c337ee23224beec8eef246faa3943886e2ade8c2",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_04_persistent_trunk_with_side_branches_s02_000"
-      },
-      {
-        "candidate_id": "l3_04_persistent_trunk_with_side_branches_s03",
-        "card_id": "l3_04_persistent_trunk_with_side_branches_s03",
-        "model_view_pixel_sha256": "fb3bebb66d20c947d820c9a247ef686803d7648b2cf72de464076e422df13674",
-        "normalized_d4_mask_sha256": "1882dab5fa5082c4fb7871176f584aa773db5e6119165cacca1b256c5f2caa49",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_04_persistent_trunk_with_side_branches_s03_000"
-      },
-      {
-        "candidate_id": "l3_04_persistent_trunk_with_side_branches_s04",
-        "card_id": "l3_04_persistent_trunk_with_side_branches_s04",
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-        "model_view_pixel_sha256": "243ce315b8e1e712ef7c1f258d9e884fccec0ff177b48fc85fc7f5cbadec58cc",
-        "normalized_d4_mask_sha256": "082f43b94183da798962bca044e6d09bb4f71b5bb19b32a516f5870172f1eca7",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_18_extracted_region_scaffold_s03_000"
-      },
-      {
-        "candidate_id": "l3_18_extracted_region_scaffold_s04",
-        "card_id": "l3_18_extracted_region_scaffold_s04",
-        "model_view_pixel_sha256": "28f0cca134e2ca1eb8745a21323240c57ccad8cffc4176fc57ca6851b36ad167",
-        "normalized_d4_mask_sha256": "9cb012ea4ea3a4eca96de3e34b12fa4e4e01fd20f90477b59fe9d3f0da534080",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_18_extracted_region_scaffold_s04_000"
-      },
-      {
-        "candidate_id": "l3_18_extracted_region_scaffold_s05",
-        "card_id": "l3_18_extracted_region_scaffold_s05",
-        "model_view_pixel_sha256": "82653cd8038a850c579cbd68174f5fc83fc7a1a6f28b58684db223bebb5ad4ec",
-        "normalized_d4_mask_sha256": "00cb7acd7456602fdd3ce63e96ca4a146b2da49ef3a89c949ac157e6d16a7564",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_18_extracted_region_scaffold_s05_000"
-      },
-      {
-        "candidate_id": "l3_18_extracted_region_scaffold_s06",
-        "card_id": "l3_18_extracted_region_scaffold_s06",
-        "model_view_pixel_sha256": "3fa500b69fc229e415176e0ef98637c6b77dedc34b891133776adcb399773ad0",
-        "normalized_d4_mask_sha256": "1d8c34bb1e480c6d292eeb665459103e1083248f86552f055615b93b3b493680",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_18_extracted_region_scaffold_s06_000"
-      },
-      {
-        "candidate_id": "l3_19_multi_body_routed_assembly_s01",
-        "card_id": "l3_19_multi_body_routed_assembly_s01",
-        "model_view_pixel_sha256": "05c1afa569daa4a556c20113cba52ee86660506bf0f53191c8c12128e1362fa5",
-        "normalized_d4_mask_sha256": "22d564a78c09ca3591a3b090448d9eb316b812baf25c12fda7351d245306f3f4",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_19_multi_body_routed_assembly_s01_000"
-      },
-      {
-        "candidate_id": "l3_19_multi_body_routed_assembly_s02",
-        "card_id": "l3_19_multi_body_routed_assembly_s02",
-        "model_view_pixel_sha256": "202bddfbb424f43a5cb16bf922c3a031c9c49068f69ca428e50a71b8c1197f98",
-        "normalized_d4_mask_sha256": "0eb8536ffaec9c0c5f9339f98d7ba550e4d5f8c3f816906a6d4c63ac851024df",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_19_multi_body_routed_assembly_s02_000"
-      },
-      {
-        "candidate_id": "l3_19_multi_body_routed_assembly_s03",
-        "card_id": "l3_19_multi_body_routed_assembly_s03",
-        "model_view_pixel_sha256": "601eb6e0c161d385c111a94a760cd4e62eeff7cd5c4db2393b0ce713f80cfbe9",
-        "normalized_d4_mask_sha256": "00a42324e305289a8ca216ea363285efd5395d63cbc9193d74f06f15ff282e98",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_19_multi_body_routed_assembly_s03_000"
-      },
-      {
-        "candidate_id": "l3_19_multi_body_routed_assembly_s04",
-        "card_id": "l3_19_multi_body_routed_assembly_s04",
-        "model_view_pixel_sha256": "020865541a38927e3bdb4b34075884adfcd0171f427b1202a2fdc989407dbf06",
-        "normalized_d4_mask_sha256": "60ff63f4583599e59d5e8bb6e012c5cb9509a26ee8df6cf39e8f02955c31bc74",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_19_multi_body_routed_assembly_s04_000"
-      },
-      {
-        "candidate_id": "l3_19_multi_body_routed_assembly_s05",
-        "card_id": "l3_19_multi_body_routed_assembly_s05",
-        "model_view_pixel_sha256": "2cd6c4c36121e39e277a445bbf076aa11ed3f9ce8272fe2a96ac86cc3fc12ca4",
-        "normalized_d4_mask_sha256": "c3ecc642c8785babc3031fe5bb750880aae4e25d773069c17f9012d7e35cd0a4",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_19_multi_body_routed_assembly_s05_000"
-      },
-      {
-        "candidate_id": "l3_19_multi_body_routed_assembly_s06",
-        "card_id": "l3_19_multi_body_routed_assembly_s06",
-        "model_view_pixel_sha256": "325162e3c7c35d5669040a920630fc5eb1082699b99862ac421069de3f07ff90",
-        "normalized_d4_mask_sha256": "1b4af17fc9c8d028809ab24632d3a379933f43e28fdb8d3781503e1b09f392b4",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_19_multi_body_routed_assembly_s06_000"
-      },
-      {
-        "candidate_id": "l3_20_carrier_through_aperture_system_s01",
-        "card_id": "l3_20_carrier_through_aperture_system_s01",
-        "model_view_pixel_sha256": "0cb57a553b49ade47a9546275d502808d678cee681ea46ca0751230facf8a8e5",
-        "normalized_d4_mask_sha256": "3a896035da409b4d10379c78ce7c0bdf7bd3fda1164a77e40486fb507af9bffe",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_20_carrier_through_aperture_system_s01_000"
-      },
-      {
-        "candidate_id": "l3_20_carrier_through_aperture_system_s02",
-        "card_id": "l3_20_carrier_through_aperture_system_s02",
-        "model_view_pixel_sha256": "09232cd6237ad7bb8a24df4b2b523c869d1e3748c2ef94db7dcf4c9531f67b9b",
-        "normalized_d4_mask_sha256": "51a285f68503c06845ca0e4ac32cdbd616cb9630bb1af759b68d609f2c9a744e",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_20_carrier_through_aperture_system_s02_000"
-      },
-      {
-        "candidate_id": "l3_20_carrier_through_aperture_system_s03",
-        "card_id": "l3_20_carrier_through_aperture_system_s03",
-        "model_view_pixel_sha256": "95529d5a797b7ac67b488f6b62abad5df9f064ef4a2020fd21652fc2bd0bdbee",
-        "normalized_d4_mask_sha256": "17dc5fdbe070c1e4da6c8d6a11b3c67d9f5fbe50ea0b723fd64d1e92ca788d98",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_20_carrier_through_aperture_system_s03_000"
-      },
-      {
-        "candidate_id": "l3_20_carrier_through_aperture_system_s04",
-        "card_id": "l3_20_carrier_through_aperture_system_s04",
-        "model_view_pixel_sha256": "fd3ba04d24f82e0d6f6fa3878ef677907b50607988d00d1fba4b80fb2f7a63b8",
-        "normalized_d4_mask_sha256": "b1ad0798d10515236adb847e774b5ad95d2ecfd9c033571b1d3a4c9529edb4ee",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_20_carrier_through_aperture_system_s04_000"
-      },
-      {
-        "candidate_id": "l3_20_carrier_through_aperture_system_s05",
-        "card_id": "l3_20_carrier_through_aperture_system_s05",
-        "model_view_pixel_sha256": "7cc1a0afebc471f3c755b7ff78e44a3010aebe6764d480a682ca3c374c5a04a2",
-        "normalized_d4_mask_sha256": "220919f15414f3c691ab547f9820b97f1a74244e4cdbc24f6d1e81ce41bbb8d6",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_20_carrier_through_aperture_system_s05_000"
-      },
-      {
-        "candidate_id": "l3_20_carrier_through_aperture_system_s06",
-        "card_id": "l3_20_carrier_through_aperture_system_s06",
-        "model_view_pixel_sha256": "fc788ad6e65bfbde6b0c2346e7ca56a098904517f08feb9cc71747b2b0ffc912",
-        "normalized_d4_mask_sha256": "2258d1fc4fb9581b88772999a27f5b14033fd50f134f55c554cba00e571f6a85",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_20_carrier_through_aperture_system_s06_000"
-      },
-      {
-        "candidate_id": "l3_21_branch_coupled_repeated_media_s01",
-        "card_id": "l3_21_branch_coupled_repeated_media_s01",
-        "model_view_pixel_sha256": "d1ebfd3e260fbc35182f6a86029f31cf8e08c415b52ab01cf5432fe85a01d973",
-        "normalized_d4_mask_sha256": "0ff6d2cb8ac4a1af1d172c48912c3d46e1be3a7ad6db93b0994524a3b944ed7d",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_21_branch_coupled_repeated_media_s01_000"
-      },
-      {
-        "candidate_id": "l3_21_branch_coupled_repeated_media_s02",
-        "card_id": "l3_21_branch_coupled_repeated_media_s02",
-        "model_view_pixel_sha256": "3c7b7ce2aa1b26596624ffe1bfe8630efc80f40148e1fc02af162948630d9f4a",
-        "normalized_d4_mask_sha256": "1d07104acd0eeb7c18987e401176f637bb055da251545840d9c01f381bf58f84",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_21_branch_coupled_repeated_media_s02_000"
-      },
-      {
-        "candidate_id": "l3_21_branch_coupled_repeated_media_s03",
-        "card_id": "l3_21_branch_coupled_repeated_media_s03",
-        "model_view_pixel_sha256": "7bbaf05e3c59e9a1f18cce62f66e01ebe74c0306a2d99bdf8d516373fcd46737",
-        "normalized_d4_mask_sha256": "13dd438b720506a86839277ef00ef8784a8c570f94a8cdbcd916d58e24051aff",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_21_branch_coupled_repeated_media_s03_000"
-      },
-      {
-        "candidate_id": "l3_21_branch_coupled_repeated_media_s04",
-        "card_id": "l3_21_branch_coupled_repeated_media_s04",
-        "model_view_pixel_sha256": "2fd4e8ea25c06f104fd406406f1287b21959f7fa0b8b13bbff12083f5c8de6cf",
-        "normalized_d4_mask_sha256": "134183febc20056b6cf2e04610758b8e240b9f166d488fa1e6d76b00cad24429",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_21_branch_coupled_repeated_media_s04_000"
-      },
-      {
-        "candidate_id": "l3_21_branch_coupled_repeated_media_s05",
-        "card_id": "l3_21_branch_coupled_repeated_media_s05",
-        "model_view_pixel_sha256": "6dc9fc2bf9195a4595bd2320b4163106ef1ef8f66cb0fc914b08026d1a55a233",
-        "normalized_d4_mask_sha256": "07101f413a9f34d0dd1019e05653806a93dbee31cdae9b79f4f73c8b30650839",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_21_branch_coupled_repeated_media_s05_000"
-      },
-      {
-        "candidate_id": "l3_21_branch_coupled_repeated_media_s06",
-        "card_id": "l3_21_branch_coupled_repeated_media_s06",
-        "model_view_pixel_sha256": "7063c611c18f648527a4279263bb85d5ae937720199c411e14b627efd7e2b96e",
-        "normalized_d4_mask_sha256": "17fb37e0158bede2040ddc112a3a6e4acc8e42b102dab7f1422e441a85c93655",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_21_branch_coupled_repeated_media_s06_000"
-      },
-      {
-        "candidate_id": "l3_22_cyclic_carrier_terminal_graph_s01",
-        "card_id": "l3_22_cyclic_carrier_terminal_graph_s01",
-        "model_view_pixel_sha256": "514693c6e27d15bd8e27b386f756927a2e45e3d399c7c55ec89d3c4fdf00d301",
-        "normalized_d4_mask_sha256": "1dac85b4fb2bc6854cb99654d0fa99d9b8701f2d50eac033e594bcb191d97d10",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_22_cyclic_carrier_terminal_graph_s01_000"
-      },
-      {
-        "candidate_id": "l3_22_cyclic_carrier_terminal_graph_s02",
-        "card_id": "l3_22_cyclic_carrier_terminal_graph_s02",
-        "model_view_pixel_sha256": "3c388073e5e82f2aba1854815e0383021236e10c56e7b8df4e41cb0f334ab9d0",
-        "normalized_d4_mask_sha256": "4002fdaca9c925a658cb45d5c149e5b5f0b65e0d4ad12e4e89497a172a87e286",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_22_cyclic_carrier_terminal_graph_s02_000"
-      },
-      {
-        "candidate_id": "l3_22_cyclic_carrier_terminal_graph_s03",
-        "card_id": "l3_22_cyclic_carrier_terminal_graph_s03",
-        "model_view_pixel_sha256": "bf7c4a6e3725907b5ca554364c2c1ca3aed545c1720b1a29564a372446132a9d",
-        "normalized_d4_mask_sha256": "3416083b5d25e1ce62cc77dacbb375f5791bbe66b78aef5319f19a61c7726900",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_22_cyclic_carrier_terminal_graph_s03_000"
-      },
-      {
-        "candidate_id": "l3_22_cyclic_carrier_terminal_graph_s04",
-        "card_id": "l3_22_cyclic_carrier_terminal_graph_s04",
-        "model_view_pixel_sha256": "c0bc04c5558499c3b39e80bdc7d5ee6076619d25447d235a93b47dc3c97e83c1",
-        "normalized_d4_mask_sha256": "39b165015aa96569c18749c545e3c82d650a914cef02d97e73bffdf005d171f6",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_22_cyclic_carrier_terminal_graph_s04_000"
-      },
-      {
-        "candidate_id": "l3_22_cyclic_carrier_terminal_graph_s05",
-        "card_id": "l3_22_cyclic_carrier_terminal_graph_s05",
-        "model_view_pixel_sha256": "dd13b4e6e7fd22a6641c47ae807b98401f26753a7bbec26000ab4fdc987dc116",
-        "normalized_d4_mask_sha256": "16e75ebf0bc421ba89e04d4007bf6e93a46102406da4d7d7b698fe932d138d7b",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_22_cyclic_carrier_terminal_graph_s05_000"
-      },
-      {
-        "candidate_id": "l3_22_cyclic_carrier_terminal_graph_s06",
-        "card_id": "l3_22_cyclic_carrier_terminal_graph_s06",
-        "model_view_pixel_sha256": "456b1abe74c121bcbdf539c03a5a403cd6f6a032275f6beb99a92afe30e53fcf",
-        "normalized_d4_mask_sha256": "4807c524c6c4c36637fda1c70f83f47757f4fbfc25bd95be068c52cda016c21e",
-        "passed": true,
-        "reexecuted": true,
-        "task_id": "l3_22_cyclic_carrier_terminal_graph_s06_000"
-      }
-    ],
-    "reexecuted_card_count": 120,
-    "reexecution_enabled": true,
-    "registry_sha256": "ecb339f1d8988c06b53802a21c2e47b1dbdb16c0b20dc60bc0e97c3237cab368",
-    "schema_version": "pixcell-l3-bank-audit-2"
-  },
-  "exported_row_count": 120,
-  "level": "L3",
-  "manifest": {
-    "dataset_digest_sha256": "aa696edde9a6bc5ee0c5275d9a7f05eed2a1bc56c600791ebb5c51a3d4953fc6",
-    "dataset_id": "pixcell_v8_l3_full120",
-    "dataset_schema": "pixcell_factor_bank_v8",
-    "duplicate_gate": {
-      "d4_equivalent_group_count": 0,
-      "distinct_exact_model_images": 120,
-      "exact_duplicate_group_count": 0,
-      "passed": true,
-      "representation_orbit_count": 120
-    },
-    "family_counts": {
-      "Constructive body-route systems": 42,
-      "Hierarchical flow networks": 30,
-      "Hierarchical repeated media": 30,
-      "Radial and multi-axis hierarchy": 18
-    },
-    "generator_source_sha256": "f6a6f8f6a5bb16cd72057a365bd05524560df4a7286be27c7173587023be196c",
-    "generator_version": "pixcell-l3-factor-bank-builder-2-f6a6f8f6a5bb16cd",
-    "identity_count": 20,
-    "level": "L3",
-    "lower_level_collision_gate": {
-      "core108_exact_atlas_manifest_sha256": "93a469dd73d16ae80e8be3b95e6fe04db17fcd18079265b482e1f16a57964338",
-      "core108_view_count": 108,
-      "d4_collision_count": 0,
-      "exact_collision_count": 0,
-      "passed": true,
-      "source_manifest_sha256": {
-        "L0": "cb8649b5bf483a3e4bb7512e1e3af2bcba0bcb1df9a7185e3cbddbaf91791053",
-        "L1": "cafd270b4475c79827969c04dbf3433405731d0bc1cd3fb319f73c1475a31584",
-        "L2": "e96ada6dc209ce89e32133ccdb61da9fd3d13679aaea405b599066f3992b0906"
-      }
-    },
-    "public_card_count": 120,
-    "public_task_count": 120,
-    "schema_version": "pixcell-l3-factor-bank-2",
-    "selection_policy": "direct publication of one manually approved authored scene per semantic slot; no proposal competition or scalar selection",
-    "semantic_grammar_count": 120,
-    "status": "accepted_only",
-    "view_policy": "max_visible_v1"
-  }
-}
diff --git a/metadata/source_reports/l4.json b/metadata/source_reports/l4.json
deleted file mode 100644
index 1729443bd09f323b2b6eef96d383c9442124d8c7..0000000000000000000000000000000000000000
--- a/metadata/source_reports/l4.json
+++ /dev/null
@@ -1,1882 +0,0 @@
-{
-  "audit": {
-    "all_cards_are_singleton_semantic_identities": true,
-    "all_meta_levels_are_l4": true,
-    "all_meta_omit_realization_id": true,
-    "atlas_evidence": {
-      "atlas_path": "output/pixcell_l4_core108.png",
-      "atlas_sha256": "7cb95496f182312bdc4424a8801c15237a63d26a6050eb727ce07a229908ff4a",
-      "atlas_size_px": [
-        1880,
-        12934
-      ],
-      "passed": true
-    },
-    "card_count": 108,
-    "closed_tree_evidence": {
-      "directory_count": 217,
-      "file_count": 1514,
-      "passed": true,
-      "symlink_count": 0,
-      "task_directory_count": 108
-    },
-    "consumer_inventory_evidence": {
-      "card_count": 108,
-      "identity_order_sha256": "0c770be0ddc648e4c5de76ad23e04d115e97cd6305b3f363c47dcb527de82c32",
-      "passed": true,
-      "record_count": 108,
-      "result_count": 108
-    },
-    "contrasted_layout_row_count": 0,
-    "cross_level_d4_collision_count": 0,
-    "cross_level_exact_collision_count": 0,
-    "d4_equivalent_group_count": 0,
-    "dataset_digest_sha256": "8db07b0730b3864a3f864abf08eb5fcf94c144ffcea5d3224590560d429c836f",
-    "dataset_id": "pixcell_v8_l4_core108",
-    "exact_duplicate_group_count": 0,
-    "family_count": 18,
-    "generator_source_sha256": "b8eee25fde98ba18a2fe6b3cfc48b883ffbe9e4d1862bc1e472deb1233d6e02c",
-    "generator_version": "pixcell-l4-core108-builder-1-b8eee25fde98ba18",
-    "identity_count": 108,
-    "level": "L4",
-    "passed": true,
-    "realization_count": 0,
-    "records": [
-      {
-        "artifact_hashes_verified": true,
-        "deterministic_primary_view_verified": true,
-        "identity_id": "y_branch_smooth_1x2",
-        "normalized_singleton_metadata_verified": true,
-        "parameter_liveness_verified": true,
-        "port_topology_verified": true,
-        "reexecution": {
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-      "mzi_interferometers": 8,
-      "periodic_structured_couplers": 5,
-      "single_loop_resonators": 6,
-      "waveguide_crossings": 10
-    },
-    "generator_source_sha256": "b8eee25fde98ba18a2fe6b3cfc48b883ffbe9e4d1862bc1e472deb1233d6e02c",
-    "generator_version": "pixcell-l4-core108-builder-1-b8eee25fde98ba18",
-    "identity_count": 108,
-    "level": "L4",
-    "lower_level_collision_gate": {
-      "comparison_scope": "packaged_L0+L1+L2+L3",
-      "d4_collision_count": 0,
-      "exact_collision_count": 0,
-      "passed": true,
-      "source_manifest_sha256": {
-        "L0": "cb8649b5bf483a3e4bb7512e1e3af2bcba0bcb1df9a7185e3cbddbaf91791053",
-        "L1": "cafd270b4475c79827969c04dbf3433405731d0bc1cd3fb319f73c1475a31584",
-        "L2": "e96ada6dc209ce89e32133ccdb61da9fd3d13679aaea405b599066f3992b0906",
-        "L3": "b69ab66f211d32eaf070b9dbea75f4118b3412e99302544982e3425efcc03b7f"
-      }
-    },
-    "public_card_count": 108,
-    "public_task_count": 108,
-    "schema_version": "pixcell-l4-component-bank-1",
-    "selection_policy": "corrected_core108_semantic_roster_with_eight_curated_substitutions",
-    "semantic_grammar_count": 108,
-    "status": "complete_accepted_only",
-    "view_policy": "max_visible_v1"
-  }
-}
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new file mode 100644
index 0000000000000000000000000000000000000000..a21babf9fe737a06112485d73b4488a9b8b7a776
--- /dev/null
+++ b/references/data/train-00000-of-00007.parquet
@@ -0,0 +1,3 @@
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new file mode 100644
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--- /dev/null
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@@ -0,0 +1,3 @@
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diff --git a/requirements-lock.txt b/requirements-lock.txt
deleted file mode 100644
index 54893a875d843e4520d2c8fc6b17ad8c3d29d779..0000000000000000000000000000000000000000
--- a/requirements-lock.txt
+++ /dev/null
@@ -1,19 +0,0 @@
-# Reference environment used to build and validate the public dataset.
-# Python 3.13.14 was used for the release.
-#
-# Tinker and other RL-training packages are intentionally absent: consuming,
-# validating, rendering, and adapting this dataset do not require them.
-
-gdsfactory==9.20.7
-gdstk==0.9.0
-kfactory==2.0.1
-Pillow==12.3.0
-numpy==2.4.6
-scipy==1.18.0
-scikit-image==0.26.0
-shapely==2.1.2
-klayout==0.30.6
-datasets==5.0.0
-pyarrow==24.0.0
-huggingface_hub==1.22.0
-pytest==9.1.1
diff --git a/scripts/_shared.py b/scripts/_shared.py
deleted file mode 100644
index a70f17b8f8415f664275bf18b6594a63917d15f5..0000000000000000000000000000000000000000
--- a/scripts/_shared.py
+++ /dev/null
@@ -1,455 +0,0 @@
-"""Shared, dependency-light helpers for the PixCell dataset release tools.
-
-This module is ordinary tooling, not a Hugging Face loading script.  The
-published Parquet files are the loader-free canonical dataset.
-"""
-
-from __future__ import annotations
-
-import ast
-import hashlib
-import json
-import re
-from collections.abc import Iterable, Mapping
-from pathlib import Path
-from typing import Any
-
-import numpy as np
-from PIL import Image
-from skimage.transform import resize
-
-
-SCHEMA_VERSION = "pixcell-image-code-curriculum-v1"
-LEVELS = ("l0", "l1", "l2", "l3", "l4")
-ALLOWED_COMPONENTS = frozenset(
-    {
-        "L",
-        "bend_circular",
-        "bend_euler",
-        "bend_s",
-        "bezier",
-        "circle",
-        "coupler_straight",
-        "cross",
-        "ellipse",
-        "rectangle",
-        "regular_polygon",
-        "ring",
-        "straight",
-        "taper",
-        "triangle",
-    }
-)
-RAW_POLYGON_CALLS = frozenset({"add_polygon", "from_polygon"})
-IMAGE_IMPORT_PREFIXES = (
-    "PIL",
-    "cv2",
-    "imageio",
-    "skimage",
-    "matplotlib.image",
-)
-COORDINATE_TUPLE_LIMIT = 256
-NUMERIC_LITERAL_LIMIT = 1024
-ABSOLUTE_PATH_PATTERNS = (
-    re.compile(r"/" r"Users/[^/\s]+/"),
-    re.compile(r"/" r"home/[^/\s]+/"),
-    re.compile(r"[A-Za-z]:\\\\" r"Users\\\\[^\\\\\s]+\\\\"),
-)
-SECRET_PATTERNS = (
-    re.compile(r"\bsk-[A-Za-z0-9_-]{20,}\b"),
-    re.compile(r"\bhf_[A-Za-z0-9]{20,}\b"),
-    re.compile(r"\bghp_[A-Za-z0-9]{20,}\b"),
-    re.compile(r"-----BEGIN (?:RSA |EC |OPENSSH )?PRIVATE KEY-----"),
-)
-SAFE_PUBLIC_ID = re.compile(r"^[A-Za-z0-9][A-Za-z0-9_.-]*$")
-FORBIDDEN_RELEASE_IMPORT_ROOTS = frozenset(
-    {"tasks", "env", "rl", "homi", "michaelangelo"}
-)
-HOST_CONTROL_FILES = frozenset({".gitattributes", ".gitignore", ".gitkeep"})
-
-
-class ReleaseError(RuntimeError):
-    """Raised when a release invariant is violated."""
-
-
-def canonical_json(value: Any) -> str:
-    return json.dumps(
-        value,
-        sort_keys=True,
-        separators=(",", ":"),
-        ensure_ascii=True,
-        allow_nan=False,
-    )
-
-
-def canonical_sha256(value: Any) -> str:
-    return hashlib.sha256(canonical_json(value).encode("utf-8")).hexdigest()
-
-
-def sha256_bytes(value: bytes) -> str:
-    return hashlib.sha256(value).hexdigest()
-
-
-def sha256_file(path: Path) -> str:
-    digest = hashlib.sha256()
-    with path.open("rb") as handle:
-        for chunk in iter(lambda: handle.read(1024 * 1024), b""):
-            digest.update(chunk)
-    return digest.hexdigest()
-
-
-def read_json(path: Path) -> Any:
-    return json.loads(path.read_text(encoding="utf-8"))
-
-
-def write_json(path: Path, value: Any) -> None:
-    path.parent.mkdir(parents=True, exist_ok=True)
-    path.write_text(
-        json.dumps(
-            value,
-            indent=2,
-            sort_keys=True,
-            ensure_ascii=True,
-            allow_nan=False,
-        )
-        + "\n",
-        encoding="utf-8",
-    )
-
-
-def _dotted_name(node: ast.AST) -> str | None:
-    if isinstance(node, ast.Name):
-        return node.id
-    if isinstance(node, ast.Attribute):
-        base = _dotted_name(node.value)
-        return f"{base}.{node.attr}" if base else None
-    return None
-
-
-def _is_number(node: ast.expr) -> bool:
-    if isinstance(node, ast.UnaryOp) and isinstance(node.op, (ast.USub, ast.UAdd)):
-        node = node.operand
-    return isinstance(node, ast.Constant) and isinstance(node.value, (int, float))
-
-
-def purity_violations(source: str) -> list[str]:
-    """Enforce the public PixCell primitive catalog by AST analysis."""
-
-    try:
-        tree = ast.parse(source)
-    except SyntaxError as exc:
-        return [f"syntax-error: {exc.msg}"]
-
-    gf_aliases: set[str] = {"gf", "gdsfactory"}
-    component_aliases: set[str] = set()
-    imported_components: dict[str, str] = {}
-    hits: list[str] = []
-
-    for node in ast.walk(tree):
-        if isinstance(node, ast.Import):
-            for alias in node.names:
-                bound = alias.asname or alias.name.split(".")[0]
-                if alias.name == "gdsfactory":
-                    gf_aliases.add(bound)
-                elif alias.name == "gdsfactory.components":
-                    component_aliases.add(alias.asname or "components")
-                if alias.name.startswith(IMAGE_IMPORT_PREFIXES):
-                    hits.append(f"image-read import: {alias.name}")
-        elif isinstance(node, ast.ImportFrom):
-            module = node.module or ""
-            if module.startswith(IMAGE_IMPORT_PREFIXES):
-                hits.append(f"image-read import: {module}")
-            if module == "gdsfactory":
-                for alias in node.names:
-                    if alias.name in {"components", "c"}:
-                        component_aliases.add(alias.asname or alias.name)
-            elif module == "gdsfactory.components":
-                for alias in node.names:
-                    if alias.name == "*":
-                        hits.append("non-catalog component import: wildcard")
-                        continue
-                    imported_components[alias.asname or alias.name] = alias.name
-                    if alias.name not in ALLOWED_COMPONENTS:
-                        hits.append(f"non-catalog component import: {alias.name}")
-
-    def is_component_namespace(node: ast.AST) -> bool:
-        return (isinstance(node, ast.Name) and node.id in component_aliases) or (
-            isinstance(node, ast.Attribute)
-            and node.attr in {"components", "c"}
-            and isinstance(node.value, ast.Name)
-            and node.value.id in gf_aliases
-        )
-
-    component_callables = dict(imported_components)
-    assignments = [
-        node for node in ast.walk(tree) if isinstance(node, (ast.Assign, ast.AnnAssign))
-    ]
-    for _ in range(len(assignments) + 1):
-        changed = False
-        for node in assignments:
-            value = node.value
-            targets = node.targets if isinstance(node, ast.Assign) else [node.target]
-            names = [target.id for target in targets if isinstance(target, ast.Name)]
-            if not names or value is None:
-                continue
-            if isinstance(value, ast.Name) and value.id in gf_aliases:
-                for name in names:
-                    if name not in gf_aliases:
-                        gf_aliases.add(name)
-                        changed = True
-            elif is_component_namespace(value):
-                for name in names:
-                    if name not in component_aliases:
-                        component_aliases.add(name)
-                        changed = True
-            elif isinstance(value, ast.Attribute) and is_component_namespace(
-                value.value
-            ):
-                for name in names:
-                    if component_callables.get(name) != value.attr:
-                        component_callables[name] = value.attr
-                        changed = True
-            elif isinstance(value, ast.Name) and value.id in component_callables:
-                for name in names:
-                    component = component_callables[value.id]
-                    if component_callables.get(name) != component:
-                        component_callables[name] = component
-                        changed = True
-        if not changed:
-            break
-
-    tuple_count = 0
-    numeric_count = 0
-    for node in ast.walk(tree):
-        if isinstance(node, ast.Constant) and isinstance(node.value, (int, float)):
-            numeric_count += 1
-        if isinstance(node, (ast.List, ast.Tuple, ast.Set)):
-            tuple_count += sum(
-                1
-                for item in node.elts
-                if isinstance(item, (ast.Tuple, ast.List))
-                and len(item.elts) >= 2
-                and all(_is_number(value) for value in item.elts)
-            )
-        if isinstance(node, ast.Attribute):
-            if node.attr in RAW_POLYGON_CALLS:
-                hits.append(node.attr)
-            if (
-                is_component_namespace(node.value)
-                and node.attr not in ALLOWED_COMPONENTS
-            ):
-                hits.append(f"non-catalog component: {_dotted_name(node) or node.attr}")
-        if not isinstance(node, ast.Call):
-            continue
-        name = _dotted_name(node.func)
-        leaf = name.rsplit(".", 1)[-1] if name else None
-        if leaf in RAW_POLYGON_CALLS:
-            hits.append(str(leaf))
-        if leaf in {"open", "imread"} and (
-            leaf == "imread" or (name and name.endswith("Image.open"))
-        ):
-            hits.append(f"image-read call: {name}")
-        if isinstance(node.func, ast.Name):
-            component = component_callables.get(node.func.id)
-            if component and component not in ALLOWED_COMPONENTS:
-                hits.append(f"non-catalog component: {component}")
-        if (
-            isinstance(node.func, ast.Name)
-            and node.func.id == "getattr"
-            and node.args
-            and (
-                is_component_namespace(node.args[0])
-                or (
-                    isinstance(node.args[0], ast.Name) and node.args[0].id in gf_aliases
-                )
-            )
-        ):
-            hits.append("dynamic component resolution")
-        if (
-            isinstance(node.func, ast.Name)
-            and node.func.id == "vars"
-            and node.args
-            and is_component_namespace(node.args[0])
-        ):
-            hits.append("dynamic component mapping access")
-        if name and any(name == f"{alias}.get_component" for alias in gf_aliases):
-            hits.append("dynamic component resolver: get_component")
-
-    if tuple_count >= COORDINATE_TUPLE_LIMIT:
-        hits.append(f"coordinate-dump: {tuple_count} literal coordinate tuples")
-    if numeric_count >= NUMERIC_LITERAL_LIMIT:
-        hits.append(f"numeric-dump: {numeric_count} numeric literals")
-    return list(dict.fromkeys(hits))
-
-
-def primitive_calls(source: str) -> list[str]:
-    tree = ast.parse(source)
-    found: set[str] = set()
-    for node in ast.walk(tree):
-        if not isinstance(node, ast.Call):
-            continue
-        name = _dotted_name(node.func)
-        if not name:
-            continue
-        if ".components." in name:
-            found.add(name.rsplit(".", 1)[-1])
-        elif ".path." in name:
-            found.add(f"path.{name.rsplit('.', 1)[-1]}")
-        elif name.endswith(".boolean") or name == "gf.boolean":
-            found.add("boolean")
-        elif name.endswith(".extrude_transition"):
-            found.add("extrude_transition")
-        elif name.endswith(".extrude"):
-            found.add("extrude")
-    return sorted(found)
-
-
-def forbidden_release_imports(source: str) -> list[str]:
-    tree = ast.parse(source)
-    found: set[str] = set()
-    for node in ast.walk(tree):
-        modules: list[str] = []
-        if isinstance(node, ast.Import):
-            modules.extend(alias.name for alias in node.names)
-        elif isinstance(node, ast.ImportFrom) and node.module:
-            modules.append(node.module)
-        for module in modules:
-            root = module.split(".", 1)[0]
-            if root in FORBIDDEN_RELEASE_IMPORT_ROOTS:
-                found.add(module)
-    return sorted(found)
-
-
-def top_level_parameters(source: str) -> dict[str, Any]:
-    tree = ast.parse(source)
-    values: dict[str, Any] = {}
-    for node in tree.body:
-        if not isinstance(node, (ast.Assign, ast.AnnAssign)):
-            continue
-        targets = node.targets if isinstance(node, ast.Assign) else [node.target]
-        if len(targets) != 1 or not isinstance(targets[0], ast.Name):
-            continue
-        try:
-            values[targets[0].id] = ast.literal_eval(node.value)
-        except (ValueError, TypeError):
-            continue
-    return values
-
-
-def scan_text(label: str, text: str) -> list[str]:
-    hits: list[str] = []
-    for pattern in ABSOLUTE_PATH_PATTERNS:
-        if pattern.search(text):
-            hits.append(f"{label}: absolute developer path")
-    for pattern in SECRET_PATTERNS:
-        if pattern.search(text):
-            hits.append(f"{label}: possible secret")
-    return hits
-
-
-def scan_value_strings(label: str, value: Any) -> list[str]:
-    hits: list[str] = []
-    for text in flatten_strings(value):
-        hits.extend(scan_text(label, text))
-    return list(dict.fromkeys(hits))
-
-
-def normalized_d4_sha256(image: Image.Image, size: int = 192, margin: int = 6) -> str:
-    array = np.asarray(image.convert("L"))
-    mask = array < 245
-    if not mask.any():
-        raise ReleaseError("image contains no foreground material")
-    ys, xs = np.nonzero(mask)
-    crop = mask[ys.min() : ys.max() + 1, xs.min() : xs.max() + 1]
-    available = size - 2 * margin
-    scale = min(available / crop.shape[0], available / crop.shape[1])
-    height = max(1, min(available, int(round(crop.shape[0] * scale))))
-    width = max(1, min(available, int(round(crop.shape[1] * scale))))
-    fitted = (
-        resize(
-            crop.astype(np.uint8),
-            (height, width),
-            order=0,
-            mode="constant",
-            preserve_range=True,
-            anti_aliasing=False,
-        )
-        >= 0.5
-    )
-    canvas = np.zeros((size, size), dtype=bool)
-    x0 = (size - width) // 2
-    y0 = (size - height) // 2
-    canvas[y0 : y0 + height, x0 : x0 + width] = fitted
-    variants: list[np.ndarray] = []
-    for turns in range(4):
-        rotated = np.rot90(canvas, turns)
-        variants.extend((rotated, np.fliplr(rotated)))
-    return min(sha256_bytes(item.tobytes()) for item in variants)
-
-
-def no_absolute_path(value: Any, *, label: str) -> None:
-    text = canonical_json(value) if not isinstance(value, str) else value
-    hits = scan_text(label, text)
-    if hits:
-        raise ReleaseError("; ".join(hits))
-
-
-def iter_release_files(root: Path) -> Iterable[Path]:
-    for path in sorted(root.rglob("*")):
-        if not path.is_file():
-            continue
-        if path.name == "checksums.sha256":
-            continue
-        if path.name in HOST_CONTROL_FILES:
-            continue
-        if any(
-            part in {"__pycache__", ".pytest_cache", ".ruff_cache", ".git"}
-            for part in path.parts
-        ):
-            continue
-        yield path
-
-
-def write_checksums(root: Path) -> None:
-    target = root / "metadata" / "checksums.sha256"
-    target.parent.mkdir(parents=True, exist_ok=True)
-    lines = [
-        f"{sha256_file(path)}  {path.relative_to(root).as_posix()}"
-        for path in iter_release_files(root)
-    ]
-    target.write_text("\n".join(lines) + "\n", encoding="utf-8")
-
-
-def verify_checksums(root: Path) -> None:
-    path = root / "metadata" / "checksums.sha256"
-    if not path.is_file():
-        raise ReleaseError("metadata/checksums.sha256 is missing")
-    expected: dict[str, str] = {}
-    for line in path.read_text(encoding="utf-8").splitlines():
-        digest, relative = line.split("  ", 1)
-        expected[relative] = digest
-    actual = {
-        item.relative_to(root).as_posix(): sha256_file(item)
-        for item in iter_release_files(root)
-    }
-    if expected != actual:
-        missing = sorted(set(expected) - set(actual))
-        extra = sorted(set(actual) - set(expected))
-        changed = sorted(
-            key for key in set(expected) & set(actual) if expected[key] != actual[key]
-        )
-        raise ReleaseError(
-            f"checksum inventory drifted: missing={missing}, extra={extra}, "
-            f"changed={changed}"
-        )
-
-
-def flatten_strings(value: Any) -> Iterable[str]:
-    if isinstance(value, str):
-        yield value
-    elif isinstance(value, Mapping):
-        for child in value.values():
-            yield from flatten_strings(child)
-    elif isinstance(value, (list, tuple)):
-        for child in value:
-            yield from flatten_strings(child)
diff --git a/scripts/build_all.py b/scripts/build_all.py
deleted file mode 100644
index 046dbe39e924c7ae4de8f26ad417f797e377024b..0000000000000000000000000000000000000000
--- a/scripts/build_all.py
+++ /dev/null
@@ -1,203 +0,0 @@
-#!/usr/bin/env python3
-"""Rebuild the frozen PixCell core-v1 release from its standalone source bundle."""
-
-from __future__ import annotations
-
-import argparse
-import json
-import shutil
-import tarfile
-import tempfile
-from pathlib import Path
-from typing import Any
-
-from _shared import ReleaseError, read_json, scan_text, sha256_file
-from build_release import build_release
-from validate_release import validate_release
-
-
-CORE_NAME = "core-v1"
-
-
-def _safe_members(archive: tarfile.TarFile) -> list[tarfile.TarInfo]:
-    members = archive.getmembers()
-    names: set[str] = set()
-    for member in members:
-        path = Path(member.name)
-        if (
-            not member.isfile()
-            or path.is_absolute()
-            or ".." in path.parts
-            or member.name in names
-        ):
-            raise ReleaseError(f"unsafe source archive member: {member.name}")
-        names.add(member.name)
-    return members
-
-
-def _extract_and_verify(
-    archive_path: Path,
-    inventory_path: Path,
-    destination: Path,
-) -> None:
-    expected = read_json(inventory_path)
-    entries = expected.get("files")
-    if not isinstance(entries, list):
-        raise ReleaseError("core source inventory has no files")
-    expected_files = {
-        str(entry["path"]): {
-            "bytes": int(entry["bytes"]),
-            "sha256": str(entry["sha256"]),
-        }
-        for entry in entries
-    }
-
-    with tarfile.open(archive_path, mode="r:gz") as archive:
-        members = _safe_members(archive)
-        archive_names = {member.name for member in members}
-        if archive_names != {*expected_files, "source_manifest.json"}:
-            missing = sorted(set(expected_files) - archive_names)
-            extra = sorted(archive_names - {*expected_files, "source_manifest.json"})
-            raise ReleaseError(
-                f"source archive inventory drift; missing={missing[:3]}, "
-                f"extra={extra[:3]}"
-            )
-        internal_member = archive.getmember("source_manifest.json")
-        extracted = archive.extractfile(internal_member)
-        if extracted is None:
-            raise ReleaseError("source archive internal manifest is unreadable")
-        internal = json.loads(extracted.read().decode("utf-8"))
-        if internal != expected:
-            raise ReleaseError("source archive internal/external manifests differ")
-        for member in members:
-            target = destination / member.name
-            target.parent.mkdir(parents=True, exist_ok=True)
-            source = archive.extractfile(member)
-            if source is None:
-                raise ReleaseError(f"could not read archive member: {member.name}")
-            with target.open("wb") as handle:
-                if Path(member.name).suffix in {".json", ".py"}:
-                    payload = source.read()
-                    try:
-                        text = payload.decode("utf-8")
-                    except UnicodeDecodeError as exc:
-                        raise ReleaseError(
-                            f"source text is not UTF-8: {member.name}"
-                        ) from exc
-                    hits = scan_text(f"source/{member.name}", text)
-                    if hits:
-                        raise ReleaseError("; ".join(hits))
-                    handle.write(payload)
-                else:
-                    shutil.copyfileobj(source, handle)
-
-    for relative, evidence in expected_files.items():
-        path = destination / relative
-        if path.stat().st_size != evidence["bytes"]:
-            raise ReleaseError(f"source size drift: {relative}")
-        if sha256_file(path) != evidence["sha256"]:
-            raise ReleaseError(f"source digest drift: {relative}")
-
-
-def build_all(dataset_root: Path) -> dict[str, Any]:
-    dataset_root = dataset_root.expanduser().resolve()
-    core_root = dataset_root / "factory" / CORE_NAME
-    freeze = read_json(core_root / "freeze.json")
-    if freeze.get("core_name") != CORE_NAME:
-        raise ReleaseError("core freeze name drift")
-    bundle = freeze.get("source_bundle")
-    if not isinstance(bundle, dict):
-        raise ReleaseError("core freeze has no source bundle")
-    archive_path = dataset_root / str(bundle["path"])
-    inventory_path = dataset_root / str(bundle["inventory_path"])
-    if sha256_file(archive_path) != bundle.get("sha256"):
-        raise ReleaseError("frozen source archive digest drift")
-    grammar = freeze.get("grammar_catalog")
-    if not isinstance(grammar, dict):
-        raise ReleaseError("core freeze has no grammar catalog")
-    grammar_path = dataset_root / str(grammar.get("path", ""))
-    if not grammar_path.is_file():
-        raise ReleaseError("core grammar catalog is missing")
-    if sha256_file(grammar_path) != grammar.get("sha256"):
-        raise ReleaseError("core grammar catalog digest drift")
-    grammar_catalog = read_json(grammar_path)
-    if grammar_catalog.get("row_count") != freeze.get(
-        "row_count"
-    ) or grammar_catalog.get("representation_count") != freeze.get(
-        "representation_count"
-    ):
-        raise ReleaseError("core grammar catalog count drift")
-    policy = freeze.get("admission_policy")
-    if not isinstance(policy, dict):
-        raise ReleaseError("core freeze has no admission policy")
-    policy_path = dataset_root / str(policy.get("path", ""))
-    if not policy_path.is_file() or sha256_file(policy_path) != policy.get("sha256"):
-        raise ReleaseError("core admission policy digest drift")
-    reproducibility = freeze.get("reproducibility_report")
-    if not isinstance(reproducibility, dict):
-        raise ReleaseError("core freeze has no reproducibility report")
-    reproducibility_path = dataset_root / str(reproducibility.get("path", ""))
-    if not reproducibility_path.is_file() or sha256_file(
-        reproducibility_path
-    ) != reproducibility.get("sha256"):
-        raise ReleaseError("core reproducibility report digest drift")
-
-    with tempfile.TemporaryDirectory(prefix="pixcell-core-v1-source.") as temporary:
-        source_root = Path(temporary)
-        _extract_and_verify(archive_path, inventory_path, source_root)
-        catalog = build_release(
-            source_root,
-            dataset_root,
-            expected_release_digest=str(freeze["release_digest_sha256"]),
-            expected_row_count=int(freeze["row_count"]),
-        )
-
-    expected_digest = freeze.get("release_digest_sha256")
-    if catalog.get("release_digest_sha256") != expected_digest:
-        raise ReleaseError(
-            "rebuilt release digest differs from frozen core-v1: "
-            f"{catalog.get('release_digest_sha256')} != {expected_digest}"
-        )
-    if catalog.get("total_rows") != freeze.get("row_count"):
-        raise ReleaseError("rebuilt row count differs from frozen core-v1")
-    report = validate_release(dataset_root)
-    if report["release_digest_sha256"] != expected_digest:
-        raise ReleaseError("post-build validation digest differs from core-v1")
-    artifact_mismatches: list[str] = []
-    reference_artifacts = freeze.get("reference_artifacts", {})
-    if isinstance(reference_artifacts, dict):
-        for relative, expected_sha in sorted(reference_artifacts.items()):
-            path = dataset_root / relative
-            if not path.is_file() or sha256_file(path) != expected_sha:
-                artifact_mismatches.append(relative)
-    return {
-        "core_name": CORE_NAME,
-        "release_digest_sha256": expected_digest,
-        "total_rows": report["total_rows"],
-        "level_counts": report["level_counts"],
-        "source_archive_sha256": bundle["sha256"],
-        "static_validation": "passed",
-        "reference_artifact_match": not artifact_mismatches,
-        "reference_artifact_mismatches": artifact_mismatches,
-    }
-
-
-def _parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument(
-        "--root",
-        type=Path,
-        default=Path(__file__).resolve().parents[1],
-        help="Dataset package root (default: parent of scripts/).",
-    )
-    return parser
-
-
-def main() -> None:
-    args = _parser().parse_args()
-    report = build_all(args.root)
-    print(json.dumps(report, indent=2, sort_keys=True))
-
-
-if __name__ == "__main__":
-    main()
diff --git a/scripts/build_release.py b/scripts/build_release.py
deleted file mode 100644
index f3d46997b7a6f75818b6712632bb8edbcbe855fe..0000000000000000000000000000000000000000
--- a/scripts/build_release.py
+++ /dev/null
@@ -1,1023 +0,0 @@
-#!/usr/bin/env python3
-"""Build the loader-free PixCell L0–L4 Hugging Face release.
-
-This is a maintainer tool.  It consumes the five audited source banks and
-materializes canonical Parquet files with embedded PNG bytes.  Downloaders do
-not need the source repository or this builder to load the dataset.
-"""
-
-from __future__ import annotations
-
-import argparse
-import io
-import math
-import os
-import shutil
-import tempfile
-from collections import Counter, defaultdict
-from pathlib import Path
-from typing import Any
-
-from datasets import Dataset, Features, Image as HFImage, List as HFList, Value
-from datasets.utils.logging import disable_progress_bar
-from PIL import Image
-
-from _shared import (
-    LEVELS,
-    SCHEMA_VERSION,
-    SAFE_PUBLIC_ID,
-    ReleaseError,
-    canonical_json,
-    canonical_sha256,
-    flatten_strings,
-    forbidden_release_imports,
-    no_absolute_path,
-    normalized_d4_sha256,
-    primitive_calls,
-    purity_violations,
-    read_json,
-    scan_text,
-    scan_value_strings,
-    sha256_bytes,
-    top_level_parameters,
-    write_checksums,
-    write_json,
-)
-from render_galleries import render_release_galleries
-
-
-BANK_NAMES = {
-    "l0": "pool_v8_l0_bank",
-    "l1": "pool_v8_l1_bank",
-    "l2": "pool_v8_l2_bank",
-    "l3": "pool_v8_l3_full120",
-    "l4": "pool_v8_l4_core108",
-}
-
-PORT_EDGES = ("left", "right", "bottom", "top")
-
-ROW_COLUMNS = (
-    "schema_version",
-    "id",
-    "level",
-    "curriculum_order",
-    "image",
-    "target_image",
-    "code",
-    "code_language",
-    "instruction",
-    "label",
-    "family",
-    "concept_id",
-    "representation_id",
-    "grammar_id",
-    "leakage_group_id",
-    "variation_role",
-    "primitive_calls",
-    "prerequisite_ids",
-    "port_signature_json",
-    "footprint_um",
-    "parameters_json",
-    "topology_json",
-    "metadata_json",
-    "image_sha256",
-    "target_image_sha256",
-    "code_sha256",
-    "normalized_d4_sha256",
-    "view_policy",
-    "source_dataset_digest_sha256",
-    "source_generator_version",
-)
-
-NON_DIGEST_PAYLOAD_COLUMNS = frozenset({"image", "target_image", "code"})
-
-L0_PRIMITIVE_PREREQUISITES = {
-    "L": "l0_08_l_shape",
-    "bend_circular": "l0_11_bend_circular",
-    "bend_euler": "l0_10_bend_euler",
-    "bend_s": "l0_12_bend_s",
-    "bezier": "l0_13_bezier",
-    "circle": "l0_02_circle",
-    "coupler_straight": "l0_15_coupler_straight",
-    "cross": "l0_04_cross",
-    "ellipse": "l0_06_ellipse",
-    "rectangle": "l0_01_rectangle",
-    "regular_polygon": "l0_07_regular_polygon",
-    "ring": "l0_03_ring",
-    "straight": "l0_09_straight",
-    "taper": "l0_14_taper",
-    "triangle": "l0_05_triangle",
-    "path.Path": "l0_16_path_polyline",
-    "path.arc": "l0_18_path_arc",
-    "path.euler": "l0_19_path_euler",
-    "path.smooth": "l0_20_path_smooth",
-    "path.spiral_archimedean": "l0_21_path_spiral",
-    "path.straight": "l0_17_path_straight",
-    "path.transition": "l0_22_path_transition",
-    "extrude_transition": "l0_22_path_transition",
-}
-
-DROP_METADATA_KEYS = frozenset(
-    {
-        "admission_status",
-        "manual_visual_approval_status",
-        "proposal_workspace",
-        "artifact_hashes",
-        "path",
-        "model_view_path",
-        "program_path",
-        "selection_path",
-    }
-)
-
-
-def release_features() -> Features:
-    return Features(
-        {
-            "schema_version": Value("string"),
-            "id": Value("string"),
-            "level": Value("string"),
-            "curriculum_order": Value("int32"),
-            "image": HFImage(),
-            "target_image": HFImage(),
-            "code": Value("string"),
-            "code_language": Value("string"),
-            "instruction": Value("string"),
-            "label": Value("string"),
-            "family": Value("string"),
-            "concept_id": Value("string"),
-            "representation_id": Value("string"),
-            "grammar_id": Value("string"),
-            "leakage_group_id": Value("string"),
-            "variation_role": Value("string"),
-            "primitive_calls": HFList(Value("string")),
-            "prerequisite_ids": HFList(Value("string")),
-            "port_signature_json": Value("string"),
-            "footprint_um": HFList(Value("float64")),
-            "parameters_json": Value("string"),
-            "topology_json": Value("string"),
-            "metadata_json": Value("string"),
-            "image_sha256": Value("string"),
-            "target_image_sha256": Value("string"),
-            "code_sha256": Value("string"),
-            "normalized_d4_sha256": Value("string"),
-            "view_policy": Value("string"),
-            "source_dataset_digest_sha256": Value("string"),
-            "source_generator_version": Value("string"),
-        }
-    )
-
-
-def release_digest_record(row: dict[str, Any]) -> dict[str, Any]:
-    """Return the complete logical row, replacing large payloads by hashes."""
-
-    return {
-        key: row[key] for key in ROW_COLUMNS if key not in NON_DIGEST_PAYLOAD_COLUMNS
-    }
-
-
-def _safe_generated_root(path: Path) -> Path:
-    resolved = path.expanduser().resolve()
-    forbidden = {
-        Path("/").resolve(),
-        Path.home().resolve(),
-        resolved.parent.resolve(),
-    }
-    if resolved in forbidden or len(resolved.parts) < 4:
-        raise ReleaseError(f"refusing unsafe release output root: {resolved}")
-    return resolved
-
-
-def _resolve_inside(root: Path, relative: str, *, label: str) -> Path:
-    candidate = (root / relative).resolve()
-    try:
-        candidate.relative_to(root.resolve())
-    except ValueError as exc:
-        raise ReleaseError(f"{label} escapes its source bank: {relative}") from exc
-    if not candidate.is_file():
-        raise ReleaseError(f"{label} does not exist: {relative}")
-    return candidate
-
-
-def _clean_metadata(value: Any) -> Any:
-    """Strip internal path/status bookkeeping while retaining gate evidence."""
-
-    if isinstance(value, dict):
-        cleaned: dict[str, Any] = {}
-        for key, child in value.items():
-            key_string = str(key)
-            if key_string in DROP_METADATA_KEYS:
-                continue
-            if "quarantine" in key_string.lower() or "admission" in key_string.lower():
-                continue
-            candidate = _clean_metadata(child)
-            if any(scan_text(key_string, text) for text in flatten_strings(candidate)):
-                continue
-            cleaned[key_string] = candidate
-        return cleaned
-    if isinstance(value, list):
-        return [_clean_metadata(item) for item in value]
-    if isinstance(value, tuple):
-        return [_clean_metadata(item) for item in value]
-    return value
-
-
-def _label(level: str, record: dict[str, Any]) -> str:
-    if record.get("label"):
-        return str(record["label"])
-    prefix_keys = {
-        "l0": ("concept_label", "mode_label"),
-        "l1": ("operation_label", "mode_label"),
-        "l2": ("composition_label", "mode_label"),
-        "l3": ("identity_label", "mode_label"),
-        "l4": ("identity_label", "mode_label"),
-    }
-    pieces: list[str] = []
-    for key in prefix_keys[level]:
-        value = record.get(key)
-        if value and str(value) not in pieces:
-            pieces.append(str(value))
-    return ": ".join(pieces) if pieces else str(record.get("candidate_id", ""))
-
-
-def _family(level: str, record: dict[str, Any]) -> str:
-    return str(
-        record.get("family")
-        or record.get("composition_family")
-        or {
-            "l0": "Primitive catalog",
-            "l1": "Primitive operations",
-            "l2": "Composed operations",
-            "l3": "Hierarchical representations",
-            "l4": "Photonic components",
-        }[level]
-    )
-
-
-def _concept_id(level: str, record: dict[str, Any]) -> str:
-    for key in (
-        "concept_id",
-        "operation_id",
-        "composition_id",
-        "identity_id",
-        "motif_id",
-        "card_id",
-        "candidate_id",
-    ):
-        if record.get(key):
-            return str(record[key])
-    raise ReleaseError(f"{level}: record has no concept identifier")
-
-
-def _prerequisites(record: dict[str, Any]) -> list[str]:
-    values: list[str] = []
-    for key, raw in record.items():
-        if key.startswith("prerequisite") or key in {
-            "constituent_motifs",
-            "ordered_operation_graph",
-        }:
-            if isinstance(raw, str):
-                values.append(raw)
-            elif isinstance(raw, list):
-                values.extend(str(item) for item in raw if isinstance(item, str))
-    return list(dict.fromkeys(values))
-
-
-def _public_variation_role(record: dict[str, Any]) -> str:
-    role = str(record.get("variation_role") or record.get("public_role") or "semantic")
-    return "semantic" if role == "semantic_base" else role
-
-
-def _sidecar(card_dir: Path, name: str) -> Any | None:
-    path = card_dir / name
-    return read_json(path) if path.is_file() else None
-
-
-def _parameters(card_dir: Path, code: str) -> dict[str, Any]:
-    sidecar = _sidecar(card_dir, "parameters.json")
-    if isinstance(sidecar, dict):
-        selected = {
-            key: sidecar[key]
-            for key in ("parameters", "fixed_context")
-            if key in sidecar
-        }
-        if selected:
-            return selected
-    return top_level_parameters(code)
-
-
-def _topology(record: dict[str, Any], card_dir: Path) -> Any:
-    sidecar = _sidecar(card_dir, "topology_contract.json")
-    if sidecar is not None:
-        return _clean_metadata(sidecar)
-    keys = (
-        "topology",
-        "port_evidence",
-        "structural_emission_evidence",
-        "terminal_witness_evidence",
-        "analytic_witness_evidence",
-    )
-    return {key: record[key] for key in keys if key in record}
-
-
-def _l4_edge_counts(
-    example_id: str,
-    label: str,
-    value: Any,
-) -> dict[str, int]:
-    if not isinstance(value, dict) or any(key not in PORT_EDGES for key in value):
-        raise ReleaseError(f"{example_id}: malformed {label}")
-    counts: dict[str, int] = {}
-    for edge in PORT_EDGES:
-        count = value.get(edge, 0)
-        if not isinstance(count, int) or isinstance(count, bool) or count < 0:
-            raise ReleaseError(f"{example_id}: malformed {label}")
-        counts[edge] = count
-    return counts
-
-
-def _validate_l4_source_port_evidence(
-    example_id: str,
-    topology: Any,
-) -> None:
-    """Reject L4 rows whose port contract was not actually executed."""
-
-    if not isinstance(topology, dict):
-        raise ReleaseError(f"{example_id}: L4 topology sidecar is missing")
-    expected = _l4_edge_counts(
-        example_id,
-        "expected optical edge-port counts",
-        topology.get("expected_optical_edge_ports"),
-    )
-    evidence = topology.get("runtime_port_evidence")
-    if not isinstance(evidence, dict):
-        raise ReleaseError(f"{example_id}: L4 runtime port evidence is missing")
-    if evidence.get("runtime_inspected") is not True:
-        raise ReleaseError(f"{example_id}: L4 ports were not runtime-inspected")
-    if evidence.get("source_admission_bound") is not False:
-        raise ReleaseError(
-            f"{example_id}: L4 port evidence is still source-admission-bound"
-        )
-    if evidence.get("machine_checks_passed") is not True:
-        raise ReleaseError(f"{example_id}: L4 runtime port gate did not pass")
-    expected_count = evidence.get("expected_count")
-    if (
-        not isinstance(expected_count, int)
-        or isinstance(expected_count, bool)
-        or expected_count != sum(expected.values())
-    ):
-        raise ReleaseError(f"{example_id}: L4 runtime port count evidence drifted")
-    evidence_expected = _l4_edge_counts(
-        example_id,
-        "runtime expected edge-port counts",
-        evidence.get("expected_edge_counts"),
-    )
-    evidence_observed = _l4_edge_counts(
-        example_id,
-        "runtime observed edge-port counts",
-        evidence.get("observed_edge_counts"),
-    )
-    if evidence_expected != expected or evidence_observed != expected:
-        raise ReleaseError(
-            f"{example_id}: L4 runtime edge-port evidence differs from topology"
-        )
-
-
-def _row_metadata(record: dict[str, Any], card_dir: Path) -> dict[str, Any]:
-    result: dict[str, Any] = {"source_record": _clean_metadata(record)}
-    for filename, key in (
-        ("factor_assignment.json", "factor_assignment"),
-        ("candidate_evidence.json", "candidate_evidence"),
-        ("calibration.json", "calibration"),
-    ):
-        value = _sidecar(card_dir, filename)
-        if value is not None:
-            result[key] = _clean_metadata(value)
-    return result
-
-
-def _instruction(card_dir: Path, footprint: list[float]) -> str:
-    calibration = _sidecar(card_dir, "calibration.json")
-    if not isinstance(calibration, dict):
-        raise ReleaseError(f"{card_dir.name}: calibration sidecar is missing")
-    scale = calibration.get("scale_px_per_um")
-    if not isinstance(scale, list) or len(scale) != 2:
-        raise ReleaseError(f"{card_dir.name}: invalid display scale evidence")
-    sx, sy = (float(value) for value in scale)
-    if any(not math.isfinite(value) or value <= 0 for value in (sx, sy)):
-        raise ReleaseError(f"{card_dir.name}: invalid display scale evidence")
-    reference = min(sx, sy)
-    x_magnification = sx / reference
-    y_magnification = sy / reference
-    length_um, width_um = footprint
-    return (
-        "The image is a device-only black-and-white silhouette: BLACK is "
-        "material on layer (1,0), WHITE is background. "
-        f"Footprint (bounding box): {length_um} x {width_um} micrometers. "
-        "DISPLAY NOTE: the overview is normalized for maximum shape visibility; "
-        "it is not guaranteed to use physical aspect ratio and has no fixed "
-        "absolute pixel scale. Relative overview magnification x:y = "
-        f"{x_magnification:.3f}:{y_magnification:.3f}. Use the silhouette for "
-        "topology and within-axis proportions, then the stated footprint for "
-        "absolute dimensions. Recreate the shown geometry as a primitives-only, "
-        "parametric GDSFactory 9.20.7 Python program using the permitted PixCell "
-        "catalog. Do not use device-level stencils, raw polygons, raster tracing, "
-        "or runtime image reads. Keep function-defining tunables top-level, define "
-        "an @gf.cell device, and write device.gds. Output only the Python program."
-    )
-
-
-def _image_bytes(path: Path, *, label: str) -> bytes:
-    payload = path.read_bytes()
-    try:
-        with Image.open(io.BytesIO(payload)) as opened:
-            opened.verify()
-        with Image.open(io.BytesIO(payload)) as opened:
-            grayscale = opened.convert("L")
-            extrema = grayscale.getextrema()
-            if extrema[0] == extrema[1]:
-                raise ReleaseError(f"{label} is visually blank: {path.name}")
-    except OSError as exc:
-        raise ReleaseError(f"{label} is not a valid image: {path}") from exc
-    return payload
-
-
-def _record_paths(bank: Path, record: dict[str, Any]) -> tuple[Path, Path, Path, Path]:
-    card_relative = record.get("path")
-    if not isinstance(card_relative, str):
-        raise ReleaseError(f"{record.get('candidate_id')}: missing card path")
-    card_dir = (bank / card_relative).resolve()
-    try:
-        card_dir.relative_to(bank.resolve())
-    except ValueError as exc:
-        raise ReleaseError(f"card path escapes bank: {card_relative}") from exc
-    if not card_dir.is_dir():
-        raise ReleaseError(f"missing card directory: {card_relative}")
-    code_path = _resolve_inside(
-        bank,
-        str(record.get("program_path") or f"{card_relative}/ground_truth.py"),
-        label="program",
-    )
-    image_path = _resolve_inside(
-        bank,
-        str(record.get("model_view_path") or f"{card_relative}/model_view.png"),
-        label="model view",
-    )
-    target_path = _resolve_inside(
-        bank,
-        f"{card_relative}/device_bw.png",
-        label="target image",
-    )
-    return card_dir, code_path, image_path, target_path
-
-
-def _build_row(
-    *,
-    level: str,
-    order: int,
-    bank: Path,
-    manifest: dict[str, Any],
-    record: dict[str, Any],
-) -> dict[str, Any]:
-    example_id = str(
-        record.get("card_id")
-        or record.get("candidate_id")
-        or record.get("task_id")
-        or ""
-    )
-    if not example_id:
-        raise ReleaseError(f"{level}[{order}]: missing example id")
-    if SAFE_PUBLIC_ID.fullmatch(example_id) is None:
-        raise ReleaseError(f"{level}[{order}]: unsafe public id: {example_id!r}")
-    if record.get("compiled") is not True:
-        raise ReleaseError(f"{example_id}: source record is not compiled")
-    if record.get("purity_clean") is not True:
-        raise ReleaseError(f"{example_id}: source record is not purity-clean")
-    if "admission_status" in record and record["admission_status"] not in {
-        "accepted",
-        "approved",
-        "manual_visual_approved",
-    }:
-        raise ReleaseError(
-            f"{example_id}: source admission status is not approved: "
-            f"{record['admission_status']}"
-        )
-    if (
-        "manual_visual_approval_status" in record
-        and record["manual_visual_approval_status"] != "approved"
-    ):
-        raise ReleaseError(f"{example_id}: manual visual approval is not approved")
-    if any(
-        "quarantine" in str(key).lower() and bool(value)
-        for key, value in record.items()
-    ):
-        raise ReleaseError(f"{example_id}: source record is quarantined")
-
-    card_dir, code_path, image_path, target_path = _record_paths(bank, record)
-    code = code_path.read_text(encoding="utf-8")
-    try:
-        compile(code, f"{example_id}/ground_truth.py", "exec")
-    except SyntaxError as exc:
-        raise ReleaseError(f"{example_id}: program does not compile: {exc}") from exc
-    violations = purity_violations(code)
-    if violations:
-        raise ReleaseError(f"{example_id}: purity violations: {violations}")
-    forbidden = forbidden_release_imports(code)
-    if forbidden:
-        raise ReleaseError(f"{example_id}: non-standalone imports: {forbidden}")
-    text_hits = scan_text(f"{example_id}/code", code)
-    if text_hits:
-        raise ReleaseError("; ".join(text_hits))
-
-    image_bytes = _image_bytes(image_path, label=f"{example_id}/image")
-    target_bytes = _image_bytes(target_path, label=f"{example_id}/target_image")
-    with Image.open(io.BytesIO(image_bytes)) as opened:
-        d4_hash = normalized_d4_sha256(opened)
-    source_d4 = record.get("normalized_d4_mask_sha256")
-    if source_d4 and d4_hash != source_d4:
-        raise ReleaseError(
-            f"{example_id}: normalized D4 witness changed ({source_d4} != {d4_hash})"
-        )
-
-    grammar_id = str(record.get("grammar_id") or example_id)
-    leakage_group_id = str(record.get("leakage_group_id") or grammar_id)
-    footprint_raw = record.get("footprint_um")
-    if not isinstance(footprint_raw, list):
-        footprint_sidecar = _sidecar(card_dir, "footprint.json") or {}
-        footprint_raw = footprint_sidecar.get("footprint_um", [])
-    footprint = [float(value) for value in footprint_raw]
-    if len(footprint) != 2 or any(value <= 0 for value in footprint):
-        raise ReleaseError(f"{example_id}: invalid footprint {footprint}")
-
-    metadata = _row_metadata(record, card_dir)
-    parameters = _parameters(card_dir, code)
-    if level == "l4":
-        _validate_l4_source_port_evidence(
-            example_id,
-            _sidecar(card_dir, "topology_contract.json"),
-        )
-    topology = _topology(record, card_dir)
-    observed_primitives = primitive_calls(code)
-    prerequisites = _prerequisites(record)
-    if level == "l1":
-        prerequisites.extend(
-            L0_PRIMITIVE_PREREQUISITES[primitive]
-            for primitive in observed_primitives
-            if primitive in L0_PRIMITIVE_PREREQUISITES
-        )
-        prerequisites = list(dict.fromkeys(prerequisites))
-    for label, value in (
-        ("metadata", metadata),
-        ("parameters", parameters),
-        ("topology", topology),
-    ):
-        no_absolute_path(value, label=f"{example_id}/{label}")
-
-    label = _label(level, record)
-    family = _family(level, record)
-    instruction = _instruction(card_dir, footprint)
-    row = {
-        "schema_version": SCHEMA_VERSION,
-        "id": example_id,
-        "level": level.upper(),
-        "curriculum_order": order,
-        "image": {"bytes": image_bytes, "path": f"{example_id}.png"},
-        "target_image": {
-            "bytes": target_bytes,
-            "path": f"{example_id}.target.png",
-        },
-        "code": code,
-        "code_language": "python",
-        "instruction": instruction,
-        "label": label,
-        "family": family,
-        "concept_id": _concept_id(level, record),
-        "representation_id": grammar_id,
-        "grammar_id": grammar_id,
-        "leakage_group_id": leakage_group_id,
-        "variation_role": _public_variation_role(record),
-        "primitive_calls": observed_primitives,
-        "prerequisite_ids": prerequisites,
-        "port_signature_json": canonical_json(
-            record.get("port_evidence") or record.get("port_signature") or {}
-        ),
-        "footprint_um": footprint,
-        "parameters_json": canonical_json(parameters),
-        "topology_json": canonical_json(topology),
-        "metadata_json": canonical_json(metadata),
-        "image_sha256": sha256_bytes(image_bytes),
-        "target_image_sha256": sha256_bytes(target_bytes),
-        "code_sha256": sha256_bytes(code.encode("utf-8")),
-        "normalized_d4_sha256": d4_hash,
-        "view_policy": str(record.get("view_policy") or "max_visible_v1"),
-        "source_dataset_digest_sha256": str(
-            manifest.get("dataset_digest_sha256") or ""
-        ),
-        "source_generator_version": str(
-            manifest.get("generator_version") or record.get("generator_version") or ""
-        ),
-    }
-    if tuple(row) != ROW_COLUMNS:
-        raise AssertionError("release row column order drifted")
-    row_hits = scan_value_strings(example_id, row)
-    if row_hits:
-        raise ReleaseError("; ".join(row_hits))
-    return row
-
-
-def _source_summary(
-    level: str,
-    manifest: dict[str, Any],
-    audit: dict[str, Any],
-    row_count: int,
-) -> dict[str, Any]:
-    safe_manifest_keys = (
-        "schema_version",
-        "level",
-        "status",
-        "dataset_id",
-        "dataset_schema",
-        "dataset_digest_sha256",
-        "generator_source_sha256",
-        "generator_version",
-        "selection_policy",
-        "view_policy",
-        "candidate_count",
-        "public_task_count",
-        "public_card_count",
-        "identity_count",
-        "primitive_count",
-        "operation_count",
-        "composition_count",
-        "semantic_grammar_count",
-        "family_counts",
-        "role_counts",
-        "public_role_counts",
-        "duplicate_telemetry",
-        "duplicate_gate",
-        "lower_level_collision_gate",
-    )
-    summary = {
-        "level": level.upper(),
-        "exported_row_count": row_count,
-        "manifest": _clean_metadata(
-            {key: manifest[key] for key in safe_manifest_keys if key in manifest}
-        ),
-        "audit": _clean_metadata(audit),
-    }
-    no_absolute_path(summary, label=f"{level}/source_summary")
-    return summary
-
-
-def _extract_level(
-    source_root: Path,
-    output_root: Path,
-    level: str,
-    bank_name: str,
-) -> tuple[list[dict[str, Any]], dict[str, Any]]:
-    bank = source_root / "rl" / "tasks" / bank_name
-    manifest_path = bank / "manifest.json"
-    audit_path = bank / "audit_report.json"
-    if not manifest_path.is_file() or not audit_path.is_file():
-        raise ReleaseError(f"{level}: incomplete source bank at {bank}")
-    manifest = read_json(manifest_path)
-    audit = read_json(audit_path)
-    records = manifest.get("records")
-    if not isinstance(records, list) or not records:
-        raise ReleaseError(f"{level}: manifest has no records")
-    if "accepted_only" not in str(manifest.get("status", "")):
-        raise ReleaseError(f"{level}: source manifest is not accepted-only")
-    if audit.get("accepted_only") is False or manifest.get("accepted_only") is False:
-        raise ReleaseError(f"{level}: source bank contains non-accepted rows")
-    if audit.get("passed") is False:
-        raise ReleaseError(f"{level}: source audit did not pass")
-    if audit.get("dataset_digest_sha256") != manifest.get("dataset_digest_sha256"):
-        raise ReleaseError(f"{level}: source manifest/audit digest mismatch")
-    for key in (
-        "all_tasks_compiled",
-        "all_tasks_pure",
-        "all_tasks_conductor_verified",
-        "all_views_deterministic",
-    ):
-        if key in manifest and manifest[key] is not True:
-            raise ReleaseError(f"{level}: source gate is false: {key}")
-    for key in (
-        "compiled",
-        "purity_clean",
-        "conductor_reexecuted",
-        "exact_views_verified",
-        "reexecuted_card_count",
-    ):
-        if key in audit and audit[key] != len(records):
-            raise ReleaseError(
-                f"{level}: source audit count {key}={audit[key]} "
-                f"does not match {len(records)} rows"
-            )
-    rows = [
-        _build_row(
-            level=level,
-            order=order,
-            bank=bank,
-            manifest=manifest,
-            record=record,
-        )
-        for order, record in enumerate(records)
-    ]
-    ids = [row["id"] for row in rows]
-    if len(ids) != len(set(ids)):
-        duplicates = [item for item, count in Counter(ids).items() if count > 1]
-        raise ReleaseError(f"{level}: duplicate ids: {duplicates}")
-
-    source_summary = _source_summary(level, manifest, audit, len(rows))
-    write_json(
-        output_root / "metadata" / "source_reports" / f"{level}.json",
-        source_summary,
-    )
-    return rows, source_summary
-
-
-def _normalize_leakage_groups(rows: list[dict[str, Any]]) -> None:
-    """Close source leakage groups over exact image aliases.
-
-    Some deliberately retained L0 cross-API aliases have different source
-    grammar IDs despite identical rasters.  A public split boundary must keep
-    those aliases together.
-    """
-
-    parent = list(range(len(rows)))
-
-    def find(index: int) -> int:
-        while parent[index] != index:
-            parent[index] = parent[parent[index]]
-            index = parent[index]
-        return index
-
-    def union(left: int, right: int) -> None:
-        left_root = find(left)
-        right_root = find(right)
-        if left_root != right_root:
-            parent[max(left_root, right_root)] = min(left_root, right_root)
-
-    by_source_group: dict[str, int] = {}
-    by_exact_image: dict[str, int] = {}
-    for index, row in enumerate(rows):
-        for mapping, key in (
-            (by_source_group, row["leakage_group_id"]),
-            (by_exact_image, row["image_sha256"]),
-        ):
-            previous = mapping.setdefault(key, index)
-            union(index, previous)
-
-    groups: dict[int, list[int]] = defaultdict(list)
-    for index in range(len(rows)):
-        groups[find(index)].append(index)
-    for members in groups.values():
-        ids = sorted(rows[index]["id"] for index in members)
-        public_id = f"lg_{canonical_sha256(ids)[:20]}"
-        for index in members:
-            rows[index]["leakage_group_id"] = public_id
-
-
-def _write_parquet(output_root: Path, level: str, rows: list[dict[str, Any]]) -> None:
-    dataset = Dataset.from_list(rows, features=release_features())
-    shard = output_root / "data" / level / "train-00000-of-00001.parquet"
-    shard.parent.mkdir(parents=True, exist_ok=True)
-    dataset.to_parquet(
-        str(shard),
-        batch_size=100,
-    )
-
-
-def _collision_report(rows: list[dict[str, Any]]) -> dict[str, Any]:
-    exact_groups: dict[str, list[str]] = defaultdict(list)
-    d4_groups: dict[str, list[str]] = defaultdict(list)
-    for row in rows:
-        exact_groups[row["image_sha256"]].append(row["id"])
-        d4_groups[row["normalized_d4_sha256"]].append(row["id"])
-    exact = sorted(sorted(group) for group in exact_groups.values() if len(group) > 1)
-    d4 = sorted(sorted(group) for group in d4_groups.values() if len(group) > 1)
-    return {
-        "exact_duplicate_group_count": len(exact),
-        "exact_duplicate_groups": exact,
-        "d4_equivalent_group_count": len(d4),
-        "d4_equivalent_groups": d4,
-        "policy": (
-            "Exact and D4-equivalent groups are reported rather than silently "
-            "removed; leakage_group_id is the split boundary. L0 retains "
-            "explicitly declared cross-API aliases and pose/calibration examples."
-        ),
-    }
-
-
-def _promote_generated_release(stage_root: Path, output_root: Path) -> None:
-    """Replace generated directories transactionally, restoring on failure."""
-
-    generated_names = ("data", "metadata", "galleries")
-    for name in generated_names:
-        if not (stage_root / name).is_dir():
-            raise ReleaseError(f"staged release is missing {name}/")
-    backup_root = Path(
-        tempfile.mkdtemp(
-            prefix=f".{output_root.name}.backup.",
-            dir=output_root.parent,
-        )
-    )
-    moved_old: list[str] = []
-    moved_new: list[str] = []
-    try:
-        for name in generated_names:
-            destination = output_root / name
-            if destination.exists():
-                if not destination.is_dir():
-                    raise ReleaseError(
-                        f"generated destination is not a directory: {destination}"
-                    )
-                os.replace(destination, backup_root / name)
-                moved_old.append(name)
-        for name in generated_names:
-            os.replace(stage_root / name, output_root / name)
-            moved_new.append(name)
-        write_checksums(output_root)
-    except Exception:
-        for name in reversed(moved_new):
-            destination = output_root / name
-            if destination.is_dir():
-                shutil.rmtree(destination)
-        for name in reversed(moved_old):
-            os.replace(backup_root / name, output_root / name)
-        raise
-    finally:
-        shutil.rmtree(backup_root, ignore_errors=True)
-
-
-def build_release(
-    source_root: Path,
-    output_root: Path,
-    *,
-    bank_names: dict[str, str] | None = None,
-    expected_release_digest: str | None = None,
-    expected_row_count: int | None = None,
-) -> dict[str, Any]:
-    source_root = source_root.expanduser().resolve()
-    output_root = _safe_generated_root(output_root)
-    names = {**BANK_NAMES, **(bank_names or {})}
-    if not (source_root / "rl" / "tasks").is_dir():
-        raise ReleaseError(f"source root has no rl/tasks: {source_root}")
-    output_root.mkdir(parents=True, exist_ok=True)
-    stage_root = Path(
-        tempfile.mkdtemp(
-            prefix=f".{output_root.name}.stage.",
-            dir=output_root.parent,
-        )
-    )
-    try:
-        disable_progress_bar()
-        all_rows: list[dict[str, Any]] = []
-        rows_by_level: dict[str, list[dict[str, Any]]] = {}
-        level_summaries: dict[str, Any] = {}
-        for level in LEVELS:
-            rows, source_summary = _extract_level(
-                source_root,
-                stage_root,
-                level,
-                names[level],
-            )
-            all_rows.extend(rows)
-            rows_by_level[level] = rows
-            level_summaries[level] = {
-                "row_count": len(rows),
-                "family_counts": dict(
-                    sorted(Counter(row["family"] for row in rows).items())
-                ),
-                "variation_role_counts": dict(
-                    sorted(Counter(row["variation_role"] for row in rows).items())
-                ),
-                "source_dataset_digest_sha256": rows[0]["source_dataset_digest_sha256"],
-                "source_generator_version": rows[0]["source_generator_version"],
-                "source_report_sha256": canonical_sha256(source_summary),
-            }
-
-        all_ids = [row["id"] for row in all_rows]
-        if len(all_ids) != len(set(all_ids)):
-            raise ReleaseError("example ids collide across curriculum levels")
-        for curriculum_order, row in enumerate(all_rows):
-            row["curriculum_order"] = curriculum_order
-        _normalize_leakage_groups(all_rows)
-        for level in LEVELS:
-            _write_parquet(stage_root, level, rows_by_level[level])
-        collision_report = _collision_report(all_rows)
-        release_digest_records = [release_digest_record(row) for row in all_rows]
-        release_digest = canonical_sha256(release_digest_records)
-        catalog = {
-            "schema_version": SCHEMA_VERSION,
-            "release_digest_sha256": release_digest,
-            "accepted_only": True,
-            "canonical_format": "Parquet with embedded PNG bytes",
-            "columns": list(ROW_COLUMNS),
-            "configurations": ["all", "core-v1", *LEVELS],
-            "levels": level_summaries,
-            "total_rows": len(all_rows),
-            "total_representation_ids": len(
-                {row["representation_id"] for row in all_rows}
-            ),
-            "collision_report": collision_report,
-        }
-        write_json(stage_root / "metadata" / "catalog.json", catalog)
-        gallery_records = render_release_galleries(stage_root)
-        audit = {
-            "schema_version": SCHEMA_VERSION,
-            "release_digest_sha256": release_digest,
-            "accepted_only": True,
-            "level_count": len(LEVELS),
-            "row_count": len(all_rows),
-            "unique_id_count": len(set(all_ids)),
-            "compiled_program_count": len(all_rows),
-            "purity_clean_program_count": len(all_rows),
-            "embedded_model_image_count": len(all_rows),
-            "embedded_target_image_count": len(all_rows),
-            "source_d4_witness_match_count": len(all_rows),
-            "absolute_path_or_secret_hits": [],
-            "collision_report": collision_report,
-            "galleries": gallery_records,
-            "gates": {
-                "all_rows_from_accepted_source_records": True,
-                "all_programs_compile": True,
-                "all_programs_pass_purity": True,
-                "all_images_decode_and_are_nonblank": True,
-                "all_images_are_embedded": True,
-                "all_source_d4_witnesses_match": True,
-                "all_paths_are_release_relative": True,
-            },
-        }
-        write_json(stage_root / "metadata" / "audit_report.json", audit)
-        if (
-            expected_release_digest is not None
-            and release_digest != expected_release_digest
-        ):
-            raise ReleaseError(
-                "staged release digest differs from the required freeze: "
-                f"{release_digest} != {expected_release_digest}"
-            )
-        if expected_row_count is not None and len(all_rows) != expected_row_count:
-            raise ReleaseError(
-                "staged release row count differs from the required freeze: "
-                f"{len(all_rows)} != {expected_row_count}"
-            )
-        _promote_generated_release(stage_root, output_root)
-        return catalog
-    finally:
-        shutil.rmtree(stage_root, ignore_errors=True)
-
-
-def _parse_bank_override(values: list[str]) -> dict[str, str]:
-    overrides: dict[str, str] = {}
-    for value in values:
-        if "=" not in value:
-            raise ReleaseError(f"bank override must be LEVEL=NAME: {value}")
-        level, name = value.split("=", 1)
-        level = level.lower()
-        if level not in LEVELS or not name or "/" in name:
-            raise ReleaseError(f"invalid bank override: {value}")
-        overrides[level] = name
-    return overrides
-
-
-def _parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument(
-        "--source",
-        type=Path,
-        required=True,
-        help="PixCell working tree containing audited rl/tasks banks.",
-    )
-    parser.add_argument(
-        "--output",
-        type=Path,
-        default=Path(__file__).resolve().parents[1],
-        help="Release package root (default: parent of scripts/).",
-    )
-    parser.add_argument(
-        "--bank",
-        action="append",
-        default=[],
-        metavar="LEVEL=NAME",
-        help="Override one source bank directory name.",
-    )
-    return parser
-
-
-def main() -> None:
-    args = _parser().parse_args()
-    catalog = build_release(
-        args.source,
-        args.output,
-        bank_names=_parse_bank_override(args.bank),
-    )
-    print(
-        f"built {catalog['total_rows']} rows; "
-        f"release digest {catalog['release_digest_sha256']}"
-    )
-
-
-if __name__ == "__main__":
-    main()
diff --git a/scripts/pack_core_v1_source.py b/scripts/pack_core_v1_source.py
deleted file mode 100644
index 28fbd815d20833339cff2f1c2499da06232623e9..0000000000000000000000000000000000000000
--- a/scripts/pack_core_v1_source.py
+++ /dev/null
@@ -1,536 +0,0 @@
-#!/usr/bin/env python3
-"""Create the deterministic, minimal PixCell core-v1 source bundle.
-
-This maintainer-only command is the one-time bridge from the original audited
-source banks to the standalone public factory.  The produced bundle contains
-only files consumed by ``build_release.py``:
-
-* accepted-only manifests and audit reports;
-* executable per-card generator programs;
-* exact model and target images;
-* explicit factor/parameter specifications; and
-* calibration, topology, and admission evidence used by the release gate.
-
-Historical proposals, rejected candidates, GDS intermediates, caches, and
-private benchmark material are intentionally excluded.
-"""
-
-from __future__ import annotations
-
-import argparse
-import gzip
-import hashlib
-import io
-import json
-import tarfile
-from pathlib import Path
-from typing import Any
-
-from _shared import LEVELS, ReleaseError, read_json, sha256_file, write_json
-
-
-CORE_NAME = "core-v1"
-EXPECTED_RELEASE_DIGEST = (
-    "e1c509dca337ce485efcb2b35101a052e06b12331b63a2f21a36c93b3682ea89"
-)
-SOURCE_COMMIT = "2ab0e551fc75c2ad7087ef88ecad2b5de279704b"
-BANK_NAMES = {
-    "l0": "pool_v8_l0_bank",
-    "l1": "pool_v8_l1_bank",
-    "l2": "pool_v8_l2_bank",
-    "l3": "pool_v8_l3_full120",
-    "l4": "pool_v8_l4_core108",
-}
-EXPECTED_LEVELS = {
-    "l0": {
-        "rows": 177,
-        "source_digest": (
-            "495b2c8f4864199213a888a5f8323db08525c76213552f919e901e386784ea76"
-        ),
-    },
-    "l1": {
-        "rows": 215,
-        "source_digest": (
-            "30765ca9366965807b65e321a7492afe6d2f8e7ae0c9fbc3a629e4641a771bc1"
-        ),
-    },
-    "l2": {
-        "rows": 118,
-        "source_digest": (
-            "05737221cfc0aeb3ef08efc64504d3db031530f5cef1496a48b0239ad23d6b46"
-        ),
-    },
-    "l3": {
-        "rows": 120,
-        "source_digest": (
-            "aa696edde9a6bc5ee0c5275d9a7f05eed2a1bc56c600791ebb5c51a3d4953fc6"
-        ),
-    },
-    "l4": {
-        "rows": 108,
-        "source_digest": (
-            "8db07b0730b3864a3f864abf08eb5fcf94c144ffcea5d3224590560d429c836f"
-        ),
-    },
-}
-OPTIONAL_SIDECARS = (
-    "parameters.json",
-    "topology_contract.json",
-    "factor_assignment.json",
-    "candidate_evidence.json",
-)
-ARCHIVE_PAYLOAD = Path | bytes
-PRIVATE_MANIFEST_KEYS = frozenset(
-    {
-        "proposal_workspace",
-        "source_root",
-        "repository_root",
-    }
-)
-
-
-def _sha256_bytes(payload: bytes) -> str:
-    return hashlib.sha256(payload).hexdigest()
-
-
-def _payload_bytes(value: ARCHIVE_PAYLOAD) -> bytes:
-    return value if isinstance(value, bytes) else value.read_bytes()
-
-
-def _payload_size(value: ARCHIVE_PAYLOAD) -> int:
-    return len(value) if isinstance(value, bytes) else value.stat().st_size
-
-
-def _sanitized_manifest_bytes(value: Any) -> bytes:
-    """Remove unused private workspace pointers from a public source capsule."""
-
-    def clean(item: Any) -> Any:
-        if isinstance(item, dict):
-            return {
-                str(key): clean(child)
-                for key, child in item.items()
-                if str(key) not in PRIVATE_MANIFEST_KEYS
-            }
-        if isinstance(item, list):
-            return [clean(child) for child in item]
-        return item
-
-    return (
-        json.dumps(
-            clean(value),
-            indent=2,
-            sort_keys=True,
-            ensure_ascii=True,
-            allow_nan=False,
-        )
-        + "\n"
-    ).encode("utf-8")
-
-
-def _inside(root: Path, relative: str, *, label: str) -> Path:
-    candidate = (root / relative).resolve()
-    try:
-        candidate.relative_to(root.resolve())
-    except ValueError as exc:
-        raise ReleaseError(f"{label} escapes source bank: {relative}") from exc
-    if not candidate.is_file():
-        raise ReleaseError(f"{label} does not exist: {relative}")
-    return candidate
-
-
-def _record_files(
-    bank: Path,
-    record: dict[str, Any],
-) -> dict[str, Path]:
-    card_relative = record.get("path")
-    if not isinstance(card_relative, str):
-        raise ReleaseError(f"{record.get('candidate_id')}: missing card path")
-    card_dir = (bank / card_relative).resolve()
-    try:
-        card_dir.relative_to(bank.resolve())
-    except ValueError as exc:
-        raise ReleaseError(f"card path escapes bank: {card_relative}") from exc
-    if not card_dir.is_dir():
-        raise ReleaseError(f"missing card directory: {card_relative}")
-
-    files = {
-        "program": _inside(
-            bank,
-            str(record.get("program_path") or f"{card_relative}/ground_truth.py"),
-            label="program",
-        ),
-        "model_view": _inside(
-            bank,
-            str(record.get("model_view_path") or f"{card_relative}/model_view.png"),
-            label="model view",
-        ),
-        "target": _inside(
-            bank,
-            f"{card_relative}/device_bw.png",
-            label="target",
-        ),
-        "calibration": _inside(
-            bank,
-            f"{card_relative}/calibration.json",
-            label="calibration",
-        ),
-    }
-    for filename in OPTIONAL_SIDECARS:
-        path = card_dir / filename
-        if path.is_file():
-            files[filename.removesuffix(".json")] = path
-    if not isinstance(record.get("footprint_um"), list):
-        path = card_dir / "footprint.json"
-        if path.is_file():
-            files["footprint"] = path
-    return files
-
-
-def _public_role(record: dict[str, Any]) -> str:
-    role = str(record.get("variation_role") or record.get("public_role") or "semantic")
-    return "semantic" if role == "semantic_base" else role
-
-
-def _first(record: dict[str, Any], *keys: str) -> str:
-    for key in keys:
-        value = record.get(key)
-        if value:
-            return str(value)
-    return ""
-
-
-def _family(level: str, record: dict[str, Any]) -> str:
-    return (
-        _first(record, "family", "composition_family")
-        or {
-            "l0": "Primitive catalog",
-            "l1": "Primitive operations",
-            "l2": "Composed operations",
-            "l3": "Hierarchical representations",
-            "l4": "Photonic components",
-        }[level]
-    )
-
-
-def collect_source(
-    source_root: Path,
-) -> tuple[dict[str, ARCHIVE_PAYLOAD], dict[str, Any], dict[str, Any]]:
-    """Return archive payload paths, source inventory metadata, and grammar map."""
-
-    tasks_root = source_root / "rl" / "tasks"
-    if not tasks_root.is_dir():
-        raise ReleaseError(f"source root has no rl/tasks directory: {source_root}")
-
-    payload: dict[str, ARCHIVE_PAYLOAD] = {}
-    grammar_rows: list[dict[str, Any]] = []
-    level_summaries: dict[str, Any] = {}
-    curriculum_order = 0
-
-    for level in LEVELS:
-        bank_name = BANK_NAMES[level]
-        bank = tasks_root / bank_name
-        manifest_path = bank / "manifest.json"
-        audit_path = bank / "audit_report.json"
-        if not manifest_path.is_file() or not audit_path.is_file():
-            raise ReleaseError(f"{level}: incomplete source bank at {bank}")
-        manifest = read_json(manifest_path)
-        audit = read_json(audit_path)
-        records = manifest.get("records")
-        if not isinstance(records, list):
-            raise ReleaseError(f"{level}: manifest has no records")
-        expected = EXPECTED_LEVELS[level]
-        if len(records) != expected["rows"]:
-            raise ReleaseError(
-                f"{level}: row count {len(records)} != {expected['rows']}"
-            )
-        source_digest = manifest.get("dataset_digest_sha256")
-        if source_digest != expected["source_digest"]:
-            raise ReleaseError(f"{level}: source digest drift")
-        if audit.get("dataset_digest_sha256") != source_digest:
-            raise ReleaseError(f"{level}: manifest/audit digest mismatch")
-        if "accepted_only" not in str(manifest.get("status", "")):
-            raise ReleaseError(f"{level}: source bank is not accepted-only")
-
-        prefix = Path("rl") / "tasks" / bank_name
-        payload[(prefix / "manifest.json").as_posix()] = _sanitized_manifest_bytes(
-            manifest
-        )
-        payload[(prefix / "audit_report.json").as_posix()] = audit_path
-        role_counts: dict[str, int] = {}
-
-        for record in records:
-            files = _record_files(bank, record)
-            for path in files.values():
-                relative = path.relative_to(bank)
-                payload[(prefix / relative).as_posix()] = path
-
-            card_id = _first(record, "card_id", "candidate_id", "task_id")
-            grammar_id = str(record.get("grammar_id") or card_id)
-            role = _public_role(record)
-            role_counts[role] = role_counts.get(role, 0) + 1
-            factor_path = files.get("factor_assignment")
-            parameter_path = files.get("parameters")
-            grammar_rows.append(
-                {
-                    "id": card_id,
-                    "level": level.upper(),
-                    "curriculum_order": curriculum_order,
-                    "concept_id": _first(
-                        record,
-                        "concept_id",
-                        "operation_id",
-                        "composition_id",
-                        "identity_id",
-                        "motif_id",
-                        "card_id",
-                        "candidate_id",
-                    ),
-                    "grammar_id": grammar_id,
-                    "leakage_group_id": str(
-                        record.get("leakage_group_id") or grammar_id
-                    ),
-                    "variation_role": role,
-                    "family": _family(level, record),
-                    "label": _first(
-                        record,
-                        "label",
-                        "identity_label",
-                        "composition_label",
-                        "operation_label",
-                        "concept_label",
-                        "mode_label",
-                    ),
-                    "generator_program": (
-                        prefix / files["program"].relative_to(bank)
-                    ).as_posix(),
-                    "factor_assignment": (
-                        read_json(factor_path) if factor_path is not None else {}
-                    ),
-                    "parameters": (
-                        read_json(parameter_path) if parameter_path is not None else {}
-                    ),
-                    "deterministic_seed": None,
-                }
-            )
-            curriculum_order += 1
-
-        level_summaries[level] = {
-            "bank_name": bank_name,
-            "row_count": len(records),
-            "source_dataset_digest_sha256": source_digest,
-            "generator_version": str(manifest.get("generator_version") or ""),
-            "role_counts": dict(sorted(role_counts.items())),
-        }
-
-    inventory_entries = []
-    for relative, source in sorted(payload.items()):
-        source_bytes = _payload_bytes(source)
-        inventory_entries.append(
-            {
-                "path": relative,
-                "bytes": len(source_bytes),
-                "sha256": _sha256_bytes(source_bytes),
-            }
-        )
-    source_manifest = {
-        "schema_version": "pixcell-core-source-v1",
-        "core_name": CORE_NAME,
-        "source_commit": SOURCE_COMMIT,
-        "randomness": {
-            "mode": "none",
-            "seed": None,
-            "explanation": (
-                "core-v1 is an explicit deterministic enumeration; every factor "
-                "assignment and executable generator program is frozen."
-            ),
-        },
-        "bank_names": BANK_NAMES,
-        "levels": level_summaries,
-        "file_count": len(inventory_entries),
-        "payload_bytes": sum(entry["bytes"] for entry in inventory_entries),
-        "files": inventory_entries,
-    }
-    grammar_catalog = {
-        "schema_version": "pixcell-grammar-catalog-v1",
-        "core_name": CORE_NAME,
-        "row_count": len(grammar_rows),
-        "representation_count": len({row["grammar_id"] for row in grammar_rows}),
-        "randomness": "none",
-        "rows": grammar_rows,
-    }
-    return payload, source_manifest, grammar_catalog
-
-
-def _tar_info(name: str, size: int) -> tarfile.TarInfo:
-    info = tarfile.TarInfo(name=name)
-    info.size = size
-    info.mode = 0o644
-    info.uid = 0
-    info.gid = 0
-    info.uname = ""
-    info.gname = ""
-    info.mtime = 0
-    info.pax_headers = {}
-    return info
-
-
-def write_deterministic_archive(
-    output_path: Path,
-    payload: dict[str, ARCHIVE_PAYLOAD],
-    source_manifest: dict[str, Any],
-) -> None:
-    output_path.parent.mkdir(parents=True, exist_ok=True)
-    internal_manifest = (
-        json.dumps(
-            source_manifest,
-            indent=2,
-            sort_keys=True,
-            ensure_ascii=True,
-            allow_nan=False,
-        )
-        + "\n"
-    ).encode("utf-8")
-    with output_path.open("wb") as raw:
-        with gzip.GzipFile(
-            filename="",
-            mode="wb",
-            fileobj=raw,
-            compresslevel=9,
-            mtime=0,
-        ) as compressed:
-            with tarfile.open(
-                mode="w",
-                fileobj=compressed,
-                format=tarfile.PAX_FORMAT,
-            ) as archive:
-                for relative, source in sorted(payload.items()):
-                    info = _tar_info(relative, _payload_size(source))
-                    if isinstance(source, bytes):
-                        archive.addfile(info, io.BytesIO(source))
-                    else:
-                        with source.open("rb") as handle:
-                            archive.addfile(info, handle)
-                info = _tar_info("source_manifest.json", len(internal_manifest))
-                archive.addfile(info, io.BytesIO(internal_manifest))
-
-
-def pack_core_v1(
-    source_root: Path,
-    dataset_root: Path,
-) -> dict[str, Any]:
-    dataset_root = dataset_root.expanduser().resolve()
-    source_root = source_root.expanduser().resolve()
-    catalog = read_json(dataset_root / "metadata" / "catalog.json")
-    if catalog.get("release_digest_sha256") != EXPECTED_RELEASE_DIGEST:
-        raise ReleaseError("public release digest is not the frozen core-v1 digest")
-    if catalog.get("total_rows") != 738:
-        raise ReleaseError("public release row count is not 738")
-
-    payload, source_manifest, grammar_catalog = collect_source(source_root)
-    core_root = dataset_root / "factory" / CORE_NAME
-    archive_path = core_root / "source.tar.gz"
-    write_deterministic_archive(archive_path, payload, source_manifest)
-    write_json(core_root / "source_manifest.json", source_manifest)
-    write_json(core_root / "grammar_catalog.json", grammar_catalog)
-
-    archive_sha = sha256_file(archive_path)
-    admission_policy_path = dataset_root / "factory" / "admission_policy.json"
-    if not admission_policy_path.is_file():
-        raise ReleaseError("factory/admission_policy.json is missing")
-    reproducibility_report_path = (
-        dataset_root / "factory" / CORE_NAME / "reproducibility_report.json"
-    )
-    if not reproducibility_report_path.is_file():
-        raise ReleaseError("core-v1 reproducibility report is missing")
-    reference_paths = [
-        *(f"data/{level}/train-00000-of-00001.parquet" for level in LEVELS),
-        "galleries/all.png",
-        *(f"galleries/{level}.png" for level in LEVELS),
-        "metadata/catalog.json",
-        "metadata/audit_report.json",
-        *(f"metadata/source_reports/{level}.json" for level in LEVELS),
-    ]
-    reference_artifacts = {
-        relative: sha256_file(dataset_root / relative) for relative in reference_paths
-    }
-    freeze = {
-        "schema_version": "pixcell-core-freeze-v1",
-        "core_name": CORE_NAME,
-        "release_digest_sha256": EXPECTED_RELEASE_DIGEST,
-        "row_count": 738,
-        "representation_count": 547,
-        "accepted_only": True,
-        "source_commit": SOURCE_COMMIT,
-        "levels": {
-            level: {
-                "row_count": EXPECTED_LEVELS[level]["rows"],
-                "source_dataset_digest_sha256": EXPECTED_LEVELS[level]["source_digest"],
-            }
-            for level in LEVELS
-        },
-        "source_bundle": {
-            "path": "factory/core-v1/source.tar.gz",
-            "sha256": archive_sha,
-            "bytes": archive_path.stat().st_size,
-            "inventory_path": "factory/core-v1/source_manifest.json",
-            "file_count": source_manifest["file_count"],
-            "uncompressed_payload_bytes": source_manifest["payload_bytes"],
-        },
-        "grammar_catalog": {
-            "path": "factory/core-v1/grammar_catalog.json",
-            "sha256": sha256_file(core_root / "grammar_catalog.json"),
-            "row_count": grammar_catalog["row_count"],
-            "representation_count": grammar_catalog["representation_count"],
-        },
-        "admission_policy": {
-            "path": "factory/admission_policy.json",
-            "sha256": sha256_file(admission_policy_path),
-        },
-        "reproducibility_report": {
-            "path": "factory/core-v1/reproducibility_report.json",
-            "sha256": sha256_file(reproducibility_report_path),
-        },
-        "determinism": {
-            "randomness": "none",
-            "seed": None,
-            "archive_metadata_normalized": True,
-            "expected_logical_digest_is_mandatory": True,
-            "reference_artifacts_are_platform_specific": True,
-        },
-        "reference_artifacts": reference_artifacts,
-        "build_command": "python scripts/build_all.py",
-        "validation_command": ("python scripts/validate_release.py --execute-programs"),
-    }
-    write_json(core_root / "freeze.json", freeze)
-    return freeze
-
-
-def _parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument(
-        "--source",
-        type=Path,
-        required=True,
-        help="Working tree containing the five audited source banks.",
-    )
-    parser.add_argument(
-        "--dataset-root",
-        type=Path,
-        default=Path(__file__).resolve().parents[1],
-        help="Dataset package root (default: parent of scripts/).",
-    )
-    return parser
-
-
-def main() -> None:
-    args = _parser().parse_args()
-    freeze = pack_core_v1(args.source, args.dataset_root)
-    bundle = freeze["source_bundle"]
-    print(
-        f"packed {freeze['row_count']} rows into {bundle['file_count']} source "
-        f"files; archive sha256 {bundle['sha256']}"
-    )
-
-
-if __name__ == "__main__":
-    main()
diff --git a/scripts/render_galleries.py b/scripts/render_galleries.py
deleted file mode 100644
index 6c286e30014aaed74693429bede2ab9bccdb5c33..0000000000000000000000000000000000000000
--- a/scripts/render_galleries.py
+++ /dev/null
@@ -1,247 +0,0 @@
-#!/usr/bin/env python3
-"""Render deterministic contact sheets from the canonical Parquet release.
-
-The sheets show the exact ``image`` field presented to a model.  They do not
-re-render GDS, so this command works from a downloaded Hugging Face snapshot
-without the geometry toolchain.
-"""
-
-from __future__ import annotations
-
-import argparse
-import io
-import math
-from dataclasses import dataclass
-from pathlib import Path
-from typing import Any
-
-import pyarrow.parquet as pq
-from PIL import Image, ImageDraw, ImageFont, ImageOps
-
-from _shared import LEVELS, ReleaseError
-
-
-BACKGROUND = "#f4f5f7"
-CARD = "#ffffff"
-BORDER = "#c8ccd2"
-TEXT = "#111318"
-MUTED = "#5c6470"
-TILE_WIDTH = 360
-TILE_HEIGHT = 260
-IMAGE_BOX = (320, 178)
-GAP = 14
-OUTER = 22
-HEADER_HEIGHT = 70
-
-
-@dataclass(frozen=True)
-class GalleryRow:
-    example_id: str
-    label: str
-    level: str
-    image_bytes: bytes
-
-
-def _font(size: int, *, bold: bool = False) -> ImageFont.ImageFont:
-    """Use Pillow's bundled font so output does not depend on the host OS."""
-
-    try:
-        return ImageFont.load_default(size=size)
-    except TypeError:  # Pillow < 10 compatibility.
-        return ImageFont.load_default()
-
-
-def _read_rows(parquet_path: Path) -> list[GalleryRow]:
-    if not parquet_path.is_file():
-        raise ReleaseError(f"missing Parquet shard: {parquet_path}")
-    table = pq.read_table(
-        parquet_path,
-        columns=["id", "label", "level", "image"],
-    )
-    rows: list[GalleryRow] = []
-    for raw in table.to_pylist():
-        image_value = raw["image"]
-        payload = image_value.get("bytes") if isinstance(image_value, dict) else None
-        if not payload:
-            raise ReleaseError(f"{raw['id']}: image bytes are not embedded")
-        rows.append(
-            GalleryRow(
-                example_id=str(raw["id"]),
-                label=str(raw["label"]),
-                level=str(raw["level"]),
-                image_bytes=bytes(payload),
-            )
-        )
-    return rows
-
-
-def _fit_image(payload: bytes) -> Image.Image:
-    with Image.open(io.BytesIO(payload)) as opened:
-        image = opened.convert("RGB")
-    image = ImageOps.contain(image, IMAGE_BOX, Image.Resampling.LANCZOS)
-    canvas = Image.new("RGB", IMAGE_BOX, "white")
-    x = (IMAGE_BOX[0] - image.width) // 2
-    y = (IMAGE_BOX[1] - image.height) // 2
-    canvas.paste(image, (x, y))
-    return canvas
-
-
-def _ellipsize(
-    draw: ImageDraw.ImageDraw,
-    text: str,
-    font: ImageFont.ImageFont,
-    width: int,
-) -> str:
-    if draw.textbbox((0, 0), text, font=font)[2] <= width:
-        return text
-    suffix = "..."
-    candidate = text
-    while candidate and draw.textbbox((0, 0), candidate + suffix, font=font)[2] > width:
-        candidate = candidate[:-1]
-    return candidate.rstrip() + suffix
-
-
-def render_gallery(
-    rows: list[GalleryRow],
-    output_path: Path,
-    *,
-    title: str,
-    columns: int = 6,
-) -> None:
-    if not rows:
-        raise ReleaseError(f"cannot render empty gallery: {title}")
-    columns = max(1, columns)
-    row_count = math.ceil(len(rows) / columns)
-    width = 2 * OUTER + columns * TILE_WIDTH + (columns - 1) * GAP
-    height = (
-        2 * OUTER
-        + HEADER_HEIGHT
-        + row_count * TILE_HEIGHT
-        + max(0, row_count - 1) * GAP
-    )
-    sheet = Image.new("RGB", (width, height), BACKGROUND)
-    draw = ImageDraw.Draw(sheet)
-    title_font = _font(25, bold=True)
-    body_font = _font(14)
-    small_font = _font(12)
-    draw.text((OUTER, OUTER), title, fill=TEXT, font=title_font)
-    draw.text(
-        (OUTER, OUTER + 36),
-        f"{len(rows)} accepted image-program examples · exact model input view",
-        fill=MUTED,
-        font=body_font,
-    )
-
-    y_origin = OUTER + HEADER_HEIGHT
-    for index, row in enumerate(rows):
-        grid_y, grid_x = divmod(index, columns)
-        x0 = OUTER + grid_x * (TILE_WIDTH + GAP)
-        y0 = y_origin + grid_y * (TILE_HEIGHT + GAP)
-        x1 = x0 + TILE_WIDTH
-        y1 = y0 + TILE_HEIGHT
-        draw.rounded_rectangle(
-            (x0, y0, x1, y1),
-            radius=8,
-            fill=CARD,
-            outline=BORDER,
-            width=1,
-        )
-        fitted = _fit_image(row.image_bytes)
-        image_x = x0 + (TILE_WIDTH - IMAGE_BOX[0]) // 2
-        image_y = y0 + 12
-        sheet.paste(fitted, (image_x, image_y))
-        draw.rectangle(
-            (
-                image_x,
-                image_y,
-                image_x + IMAGE_BOX[0],
-                image_y + IMAGE_BOX[1],
-            ),
-            outline="#e1e3e7",
-            width=1,
-        )
-        label = _ellipsize(draw, row.label, body_font, TILE_WIDTH - 28)
-        identifier = _ellipsize(
-            draw,
-            row.example_id,
-            small_font,
-            TILE_WIDTH - 28,
-        )
-        draw.text(
-            (x0 + 14, image_y + IMAGE_BOX[1] + 13), label, fill=TEXT, font=body_font
-        )
-        draw.text(
-            (x0 + 14, image_y + IMAGE_BOX[1] + 38),
-            identifier,
-            fill=MUTED,
-            font=small_font,
-        )
-
-    output_path.parent.mkdir(parents=True, exist_ok=True)
-    sheet.save(output_path, format="PNG", compress_level=6, optimize=False)
-
-
-def _level_parquet(root: Path, level: str) -> Path:
-    matches = sorted((root / "data" / level).glob("train-*.parquet"))
-    if len(matches) != 1:
-        raise ReleaseError(f"expected one shard for {level}, found {len(matches)}")
-    return matches[0]
-
-
-def render_release_galleries(root: Path, *, columns: int = 6) -> dict[str, Any]:
-    root = root.resolve()
-    gallery_dir = root / "galleries"
-    gallery_dir.mkdir(parents=True, exist_ok=True)
-    all_rows: list[GalleryRow] = []
-    outputs: dict[str, Any] = {}
-    for level in LEVELS:
-        rows = _read_rows(_level_parquet(root, level))
-        output = gallery_dir / f"{level}.png"
-        render_gallery(
-            rows,
-            output,
-            title=f"PixCell curriculum {level.upper()}",
-            columns=columns,
-        )
-        outputs[level] = {
-            "path": output.relative_to(root).as_posix(),
-            "rows": len(rows),
-            "size_px": list(Image.open(output).size),
-        }
-        all_rows.extend(rows)
-    combined = gallery_dir / "all.png"
-    render_gallery(
-        all_rows,
-        combined,
-        title="PixCell representation-first image-to-code curriculum · L0–L4",
-        columns=max(8, columns),
-    )
-    outputs["all"] = {
-        "path": combined.relative_to(root).as_posix(),
-        "rows": len(all_rows),
-        "size_px": list(Image.open(combined).size),
-    }
-    return outputs
-
-
-def _parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument(
-        "--root",
-        type=Path,
-        default=Path(__file__).resolve().parents[1],
-        help="Dataset package root (default: parent of scripts/).",
-    )
-    parser.add_argument("--columns", type=int, default=6)
-    return parser
-
-
-def main() -> None:
-    args = _parser().parse_args()
-    outputs = render_release_galleries(args.root, columns=args.columns)
-    for name, record in outputs.items():
-        print(f"{name}: {record['rows']} rows -> {record['path']}")
-
-
-if __name__ == "__main__":
-    main()
diff --git a/scripts/to_vlm_messages.py b/scripts/to_vlm_messages.py
deleted file mode 100644
index 9e13290bd3ae58a88791a50d682e8610715209d4..0000000000000000000000000000000000000000
--- a/scripts/to_vlm_messages.py
+++ /dev/null
@@ -1,166 +0,0 @@
-#!/usr/bin/env python3
-"""Convert canonical PixCell rows to OpenAI-style multimodal messages JSONL."""
-
-from __future__ import annotations
-
-import argparse
-import base64
-import json
-from pathlib import Path
-from typing import Any
-
-import pyarrow.parquet as pq
-
-from _shared import LEVELS, ReleaseError
-
-
-def _parquet_paths(root: Path, level: str) -> list[Path]:
-    levels = LEVELS if level == "all" else (level,)
-    paths: list[Path] = []
-    for item in levels:
-        matches = sorted((root / "data" / item).glob("train-*.parquet"))
-        if len(matches) != 1:
-            raise ReleaseError(
-                f"{item}: expected one Parquet shard, found {len(matches)}"
-            )
-        paths.extend(matches)
-    return paths
-
-
-def _image_reference(
-    row: dict[str, Any],
-    *,
-    image_mode: str,
-    output_path: Path,
-    assets_dir: Path | None,
-) -> str:
-    value = row["image"]
-    if not isinstance(value, dict) or not value.get("bytes"):
-        raise ReleaseError(f"{row['id']}: image is not embedded")
-    payload = bytes(value["bytes"])
-    if image_mode == "data-uri":
-        return f"data:image/png;base64,{base64.b64encode(payload).decode('ascii')}"
-    if assets_dir is None:
-        raise AssertionError("relative-path mode requires an assets directory")
-    image_path = assets_dir / f"{row['id']}.png"
-    image_path.write_bytes(payload)
-    return image_path.relative_to(output_path.parent).as_posix()
-
-
-def convert(
-    *,
-    root: Path,
-    level: str,
-    output_path: Path,
-    image_mode: str,
-) -> int:
-    root = root.expanduser().resolve()
-    output_path = output_path.expanduser().resolve()
-    output_path.parent.mkdir(parents=True, exist_ok=True)
-    assets_dir: Path | None = None
-    if image_mode == "relative-path":
-        assets_dir = output_path.parent / f"{output_path.stem}_images"
-        assets_dir.mkdir(parents=True, exist_ok=True)
-
-    count = 0
-    with output_path.open("w", encoding="utf-8") as handle:
-        for parquet_path in _parquet_paths(root, level):
-            table = pq.read_table(
-                parquet_path,
-                columns=[
-                    "id",
-                    "level",
-                    "family",
-                    "representation_id",
-                    "leakage_group_id",
-                    "image",
-                    "instruction",
-                    "code",
-                ],
-            )
-            for row in table.to_pylist():
-                image_url = _image_reference(
-                    row,
-                    image_mode=image_mode,
-                    output_path=output_path,
-                    assets_dir=assets_dir,
-                )
-                result = {
-                    "id": row["id"],
-                    "level": row["level"],
-                    "family": row["family"],
-                    "representation_id": row["representation_id"],
-                    "leakage_group_id": row["leakage_group_id"],
-                    "messages": [
-                        {
-                            "role": "user",
-                            "content": [
-                                {
-                                    "type": "image_url",
-                                    "image_url": {"url": image_url},
-                                },
-                                {
-                                    "type": "text",
-                                    "text": row["instruction"],
-                                },
-                            ],
-                        },
-                        {
-                            "role": "assistant",
-                            "content": [
-                                {
-                                    "type": "text",
-                                    "text": row["code"],
-                                }
-                            ],
-                        },
-                    ],
-                }
-                handle.write(
-                    json.dumps(
-                        result,
-                        ensure_ascii=False,
-                        separators=(",", ":"),
-                    )
-                    + "\n"
-                )
-                count += 1
-    return count
-
-
-def _parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument(
-        "--root",
-        type=Path,
-        default=Path(__file__).resolve().parents[1],
-        help="Dataset package root (default: parent of scripts/).",
-    )
-    parser.add_argument(
-        "--level",
-        choices=("all", *LEVELS),
-        default="all",
-        help="Curriculum level/configuration to convert.",
-    )
-    parser.add_argument("--output", type=Path, required=True)
-    parser.add_argument(
-        "--image-mode",
-        choices=("data-uri", "relative-path"),
-        default="data-uri",
-    )
-    return parser
-
-
-def main() -> None:
-    args = _parser().parse_args()
-    count = convert(
-        root=args.root,
-        level=args.level,
-        output_path=args.output,
-        image_mode=args.image_mode,
-    )
-    print(f"wrote {count} examples to {args.output}")
-
-
-if __name__ == "__main__":
-    main()
diff --git a/scripts/validate_release.py b/scripts/validate_release.py
deleted file mode 100644
index b685d3a39e9cdfa554a8d5492bd1fb8e3c02072c..0000000000000000000000000000000000000000
--- a/scripts/validate_release.py
+++ /dev/null
@@ -1,907 +0,0 @@
-#!/usr/bin/env python3
-"""Validate a downloaded or locally built PixCell dataset release."""
-
-from __future__ import annotations
-
-import argparse
-import concurrent.futures
-import io
-import json
-import math
-import os
-import subprocess
-import sys
-import tempfile
-from collections import Counter, defaultdict
-from pathlib import Path
-from typing import Any
-
-import pyarrow.parquet as pq
-from huggingface_hub import DatasetCard
-from PIL import Image
-
-from _shared import (
-    LEVELS,
-    SAFE_PUBLIC_ID,
-    SCHEMA_VERSION,
-    ReleaseError,
-    canonical_sha256,
-    forbidden_release_imports,
-    iter_release_files,
-    normalized_d4_sha256,
-    purity_violations,
-    read_json,
-    scan_text,
-    scan_value_strings,
-    sha256_bytes,
-    sha256_file,
-    verify_checksums,
-)
-from build_release import ROW_COLUMNS, release_digest_record
-
-
-EXECUTION_RUNNER = r"""
-import importlib.util
-import json
-import sys
-from pathlib import Path
-
-import numpy as np
-
-program_path = Path(sys.argv[1]).resolve()
-output_path = Path(sys.argv[2]).resolve()
-spec = importlib.util.spec_from_file_location("pixcell_release_program", program_path)
-if spec is None or spec.loader is None:
-    raise RuntimeError("could not load program")
-module = importlib.util.module_from_spec(spec)
-spec.loader.exec_module(module)
-device = getattr(module, "device", None)
-if not callable(device):
-    raise RuntimeError("program has no callable device()")
-component = device()
-bbox = np.asarray(component.bbox_np(), dtype=float)
-if bbox.shape != (2, 2):
-    raise RuntimeError(f"unexpected bbox shape: {bbox.shape}")
-polygons = component.get_polygons(by="tuple")
-polygon_count = sum(len(items) for items in polygons.values())
-gds_path = output_path.with_suffix(".gds")
-component.write_gds(gds_path, with_metadata=False)
-record = {
-    "bbox_span_um": (bbox[1] - bbox[0]).tolist(),
-    "bbox_um": bbox.tolist(),
-    "gds_bytes": gds_path.stat().st_size,
-    "polygon_count": polygon_count,
-    "port_count": len(component.ports),
-    "ports": [
-        {
-            "center": [float(value) for value in port.dcenter],
-            "name": str(port.name),
-            "orientation": float(port.orientation),
-            "port_type": str(port.port_type),
-            "width": float(port.dwidth),
-        }
-        for port in component.ports
-    ],
-}
-output_path.write_text(json.dumps(record, sort_keys=True), encoding="utf-8")
-"""
-
-
-def _parquet_path(root: Path, level: str) -> Path:
-    matches = sorted((root / "data" / level).glob("train-*.parquet"))
-    if len(matches) != 1:
-        raise ReleaseError(
-            f"{level}: expected exactly one Parquet shard, found {len(matches)}"
-        )
-    return matches[0]
-
-
-def _embedded_image(
-    example_id: str,
-    field: str,
-    value: Any,
-) -> tuple[bytes, Image.Image]:
-    if not isinstance(value, dict) or not value.get("bytes"):
-        raise ReleaseError(f"{example_id}: {field} is not embedded")
-    payload = bytes(value["bytes"])
-    try:
-        with Image.open(io.BytesIO(payload)) as opened:
-            opened.verify()
-        opened = Image.open(io.BytesIO(payload)).convert("L")
-    except OSError as exc:
-        raise ReleaseError(f"{example_id}: invalid {field}") from exc
-    extrema = opened.getextrema()
-    if extrema[0] == extrema[1]:
-        raise ReleaseError(f"{example_id}: blank {field}")
-    return payload, opened
-
-
-def _parse_json_field(example_id: str, field: str, value: str) -> Any:
-    try:
-        return json.loads(value)
-    except (TypeError, json.JSONDecodeError) as exc:
-        raise ReleaseError(f"{example_id}: malformed {field}") from exc
-
-
-def _validate_row(
-    row: dict[str, Any],
-    *,
-    expected_level: str,
-    expected_order: int,
-) -> dict[str, Any]:
-    example_id = str(row.get("id", ""))
-    if not example_id:
-        raise ReleaseError(f"{expected_level}[{expected_order}]: missing id")
-    if SAFE_PUBLIC_ID.fullmatch(example_id) is None:
-        raise ReleaseError(f"{example_id!r}: unsafe public id")
-    row_hits = scan_value_strings(example_id, row)
-    if row_hits:
-        raise ReleaseError("; ".join(row_hits))
-    if row["schema_version"] != SCHEMA_VERSION:
-        raise ReleaseError(f"{example_id}: schema version drift")
-    if row["level"] != expected_level.upper():
-        raise ReleaseError(f"{example_id}: wrong level {row['level']}")
-    if row["curriculum_order"] != expected_order:
-        raise ReleaseError(f"{example_id}: non-contiguous curriculum order")
-    if row["code_language"] != "python":
-        raise ReleaseError(f"{example_id}: unsupported code language")
-    lowered_instruction = row["instruction"].lower()
-    for field in ("label", "family"):
-        value = str(row[field]).strip().lower()
-        if value and value in lowered_instruction:
-            raise ReleaseError(
-                f"{example_id}: class metadata leaked into instruction via {field}"
-            )
-    code = row["code"]
-    try:
-        compile(code, f"{example_id}/ground_truth.py", "exec")
-    except SyntaxError as exc:
-        raise ReleaseError(f"{example_id}: code does not compile: {exc}") from exc
-    violations = purity_violations(code)
-    if violations:
-        raise ReleaseError(f"{example_id}: purity violations: {violations}")
-    forbidden = forbidden_release_imports(code)
-    if forbidden:
-        raise ReleaseError(f"{example_id}: non-standalone imports: {forbidden}")
-    if sha256_bytes(code.encode("utf-8")) != row["code_sha256"]:
-        raise ReleaseError(f"{example_id}: code hash mismatch")
-    for label, text in (
-        ("code", code),
-        ("instruction", row["instruction"]),
-        ("label", row["label"]),
-        ("family", row["family"]),
-        ("parameters", row["parameters_json"]),
-        ("topology", row["topology_json"]),
-        ("metadata", row["metadata_json"]),
-    ):
-        hits = scan_text(f"{example_id}/{label}", text)
-        if hits:
-            raise ReleaseError("; ".join(hits))
-    if (
-        "admission_status" in row["metadata_json"]
-        or "quarantine" in row["metadata_json"].lower()
-    ):
-        raise ReleaseError(f"{example_id}: internal admission state leaked")
-    for field in (
-        "port_signature_json",
-        "parameters_json",
-        "topology_json",
-        "metadata_json",
-    ):
-        _parse_json_field(example_id, field, row[field])
-    footprint = row["footprint_um"]
-    if len(footprint) != 2 or any(float(value) <= 0 for value in footprint):
-        raise ReleaseError(f"{example_id}: invalid footprint")
-
-    image_bytes, image = _embedded_image(example_id, "image", row["image"])
-    target_bytes, _ = _embedded_image(
-        example_id,
-        "target_image",
-        row["target_image"],
-    )
-    if sha256_bytes(image_bytes) != row["image_sha256"]:
-        raise ReleaseError(f"{example_id}: image hash mismatch")
-    if sha256_bytes(target_bytes) != row["target_image_sha256"]:
-        raise ReleaseError(f"{example_id}: target image hash mismatch")
-    d4_hash = normalized_d4_sha256(image)
-    if d4_hash != row["normalized_d4_sha256"]:
-        raise ReleaseError(f"{example_id}: D4 witness mismatch")
-    return {
-        "id": example_id,
-        "level": expected_level,
-        "image_sha256": row["image_sha256"],
-        "normalized_d4_sha256": d4_hash,
-        "leakage_group_id": row["leakage_group_id"],
-        "code": code,
-        "footprint_um": [float(value) for value in footprint],
-        "port_signature": _parse_json_field(
-            example_id,
-            "port_signature_json",
-            row["port_signature_json"],
-        ),
-        "topology": _parse_json_field(
-            example_id,
-            "topology_json",
-            row["topology_json"],
-        ),
-    }
-
-
-def _collision_report(rows: list[dict[str, Any]]) -> dict[str, Any]:
-    exact: dict[str, list[str]] = defaultdict(list)
-    d4: dict[str, list[str]] = defaultdict(list)
-    for row in rows:
-        exact[row["image_sha256"]].append(row["id"])
-        d4[row["normalized_d4_sha256"]].append(row["id"])
-    return {
-        "exact_duplicate_group_count": sum(len(group) > 1 for group in exact.values()),
-        "exact_duplicate_groups": sorted(
-            sorted(group) for group in exact.values() if len(group) > 1
-        ),
-        "d4_equivalent_group_count": sum(len(group) > 1 for group in d4.values()),
-        "d4_equivalent_groups": sorted(
-            sorted(group) for group in d4.values() if len(group) > 1
-        ),
-    }
-
-
-def _expected_port_count(signature: Any) -> int | None:
-    if isinstance(signature, dict):
-        count = signature.get("count")
-        if isinstance(count, int):
-            return count
-        return None
-    if not isinstance(signature, str):
-        return None
-    pieces = signature.lower().split("x")
-    if len(pieces) != 2:
-        return 0 if signature.lower() in {"none", "0"} else None
-    try:
-        return int(pieces[0]) + int(pieces[1])
-    except ValueError:
-        return None
-
-
-def _close(left: float, right: float, *, tolerance: float = 0.002) -> bool:
-    return math.isclose(left, right, rel_tol=0.0, abs_tol=tolerance)
-
-
-def _orientation_delta(left: float, right: float) -> float:
-    return abs((left - right + 180.0) % 360.0 - 180.0)
-
-
-def _runtime_ports(
-    example_id: str,
-    result: dict[str, Any],
-) -> list[dict[str, Any]]:
-    ports = result.get("ports")
-    if not isinstance(ports, list):
-        raise ReleaseError(f"{example_id}: execution omitted runtime port records")
-    if result.get("port_count") != len(ports):
-        raise ReleaseError(f"{example_id}: runtime port records/count disagree")
-    normalized: list[dict[str, Any]] = []
-    for index, port in enumerate(ports):
-        if not isinstance(port, dict):
-            raise ReleaseError(f"{example_id}: runtime port {index} is malformed")
-        center = port.get("center")
-        if (
-            not isinstance(center, list)
-            or len(center) != 2
-            or any(
-                not isinstance(value, (int, float)) or not math.isfinite(float(value))
-                for value in center
-            )
-        ):
-            raise ReleaseError(
-                f"{example_id}: runtime port {index} has an invalid center"
-            )
-        width = port.get("width")
-        if (
-            not isinstance(width, (int, float))
-            or not math.isfinite(float(width))
-            or float(width) <= 0
-        ):
-            raise ReleaseError(
-                f"{example_id}: runtime port {index} has an invalid width"
-            )
-        orientation = port.get("orientation")
-        if not isinstance(orientation, (int, float)) or not math.isfinite(
-            float(orientation)
-        ):
-            raise ReleaseError(
-                f"{example_id}: runtime port {index} has an invalid orientation"
-            )
-        name = port.get("name")
-        if not isinstance(name, str) or not name:
-            raise ReleaseError(f"{example_id}: runtime port {index} has no name")
-        normalized.append(
-            {
-                "center": [float(value) for value in center],
-                "name": name,
-                "orientation": float(orientation) % 360.0,
-                "port_type": str(port.get("port_type", "")),
-                "width": float(width),
-            }
-        )
-    names = [port["name"] for port in normalized]
-    if len(names) != len(set(names)):
-        raise ReleaseError(f"{example_id}: runtime port names are not unique")
-    return normalized
-
-
-def _validate_l3_ports(
-    example_id: str,
-    signature: Any,
-    ports: list[dict[str, Any]],
-) -> None:
-    if not isinstance(signature, dict) or not isinstance(signature.get("ports"), list):
-        return
-    expected_ports = signature["ports"]
-    expected_by_name = {
-        str(port.get("name")): port
-        for port in expected_ports
-        if isinstance(port, dict) and port.get("name") is not None
-    }
-    if len(expected_by_name) != len(expected_ports):
-        raise ReleaseError(f"{example_id}: malformed declared L3 port records")
-    observed_by_name = {port["name"]: port for port in ports}
-    if set(observed_by_name) != set(expected_by_name):
-        raise ReleaseError(
-            f"{example_id}: runtime L3 port names disagree with declaration"
-        )
-    declared_names = signature.get("names")
-    if isinstance(declared_names, list) and set(map(str, declared_names)) != set(
-        observed_by_name
-    ):
-        raise ReleaseError(f"{example_id}: declared L3 port name list drifted")
-    for name, expected in expected_by_name.items():
-        observed = observed_by_name[name]
-        center = expected.get("center")
-        if (
-            not isinstance(center, list)
-            or len(center) != 2
-            or any(
-                not isinstance(value, (int, float)) or not math.isfinite(float(value))
-                for value in center
-            )
-        ):
-            raise ReleaseError(f"{example_id}: malformed declared L3 port {name}")
-        if any(
-            not _close(observed_value, float(expected_value))
-            for observed_value, expected_value in zip(
-                observed["center"],
-                center,
-                strict=True,
-            )
-        ):
-            raise ReleaseError(f"{example_id}: runtime L3 port {name} center drifted")
-        width = expected.get("width")
-        orientation = expected.get("orientation")
-        if not isinstance(width, (int, float)) or not _close(
-            observed["width"],
-            float(width),
-        ):
-            raise ReleaseError(f"{example_id}: runtime L3 port {name} width drifted")
-        if (
-            not isinstance(orientation, (int, float))
-            or _orientation_delta(
-                observed["orientation"],
-                float(orientation),
-            )
-            > 0.01
-        ):
-            raise ReleaseError(
-                f"{example_id}: runtime L3 port {name} orientation drifted"
-            )
-
-
-def _validate_l4_ports(
-    example_id: str,
-    topology: Any,
-    result: dict[str, Any],
-    ports: list[dict[str, Any]],
-) -> None:
-    for index, port in enumerate(ports):
-        for other in ports[index + 1 :]:
-            if (
-                all(
-                    _close(left, right, tolerance=0.001)
-                    for left, right in zip(
-                        port["center"],
-                        other["center"],
-                        strict=True,
-                    )
-                )
-                and _orientation_delta(
-                    port["orientation"],
-                    other["orientation"],
-                )
-                <= 1e-6
-                and _close(port["width"], other["width"], tolerance=0.001)
-            ):
-                raise ReleaseError(
-                    f"{example_id}: runtime L4 ports contain a duplicated "
-                    "physical terminal"
-                )
-    if not isinstance(topology, dict):
-        raise ReleaseError(f"{example_id}: malformed L4 topology contract")
-    expected = topology.get("expected_optical_edge_ports")
-    if not isinstance(expected, dict):
-        raise ReleaseError(f"{example_id}: L4 topology lacks edge-port contract")
-    allowed_sides = {"left", "right", "top", "bottom"}
-    if any(side not in allowed_sides for side in expected) or any(
-        not isinstance(count, int) or count < 0 for count in expected.values()
-    ):
-        raise ReleaseError(f"{example_id}: malformed L4 edge-port contract")
-    bbox = result.get("bbox_um")
-    if (
-        not isinstance(bbox, list)
-        or len(bbox) != 2
-        or any(not isinstance(point, list) or len(point) != 2 for point in bbox)
-    ):
-        raise ReleaseError(f"{example_id}: execution omitted a valid runtime bbox")
-    xmin, ymin = (float(value) for value in bbox[0])
-    xmax, ymax = (float(value) for value in bbox[1])
-    if any(not math.isfinite(value) for value in (xmin, ymin, xmax, ymax)) or not (
-        xmin < xmax and ymin < ymax
-    ):
-        raise ReleaseError(f"{example_id}: execution emitted an invalid runtime bbox")
-    side_contract = {
-        "left": (0, min, xmin, 1, ymin, ymax, (-1.0, 0.0)),
-        "right": (0, max, xmax, 1, ymin, ymax, (1.0, 0.0)),
-        "top": (1, max, ymax, 0, xmin, xmax, (0.0, 1.0)),
-        "bottom": (1, min, ymin, 0, xmin, xmax, (0.0, -1.0)),
-    }
-    strongest_side_options: list[tuple[str, list[str]]] = []
-    for port in ports:
-        angle = math.radians(port["orientation"])
-        direction = (math.cos(angle), math.sin(angle))
-        tangent = (-direction[1], direction[0])
-        endpoints = [
-            [
-                port["center"][axis] + sign * tangent[axis] * port["width"] / 2
-                for axis in (0, 1)
-            ]
-            for sign in (-1.0, 1.0)
-        ]
-        matches = []
-        for side, (
-            axis,
-            extreme,
-            boundary,
-            span_axis,
-            span_min,
-            span_max,
-            outward_normal,
-        ) in side_contract.items():
-            outward_component = sum(
-                value * normal
-                for value, normal in zip(direction, outward_normal, strict=True)
-            )
-            edge_coordinate = extreme(point[axis] for point in endpoints)
-            span_coordinates = [point[span_axis] for point in endpoints]
-            if (
-                _close(edge_coordinate, boundary)
-                and max(span_coordinates) >= span_min - 0.002
-                and min(span_coordinates) <= span_max + 0.002
-                and outward_component > 1e-6
-            ):
-                matches.append((outward_component, side))
-        if not matches:
-            raise ReleaseError(
-                f"{example_id}: runtime L4 port {port['name']} has no outward "
-                "terminal cross-section on the component boundary"
-            )
-        strongest = max(component for component, _side in matches)
-        options = sorted(
-            side
-            for component, side in matches
-            if math.isclose(component, strongest, rel_tol=0.0, abs_tol=1e-9)
-        )
-        strongest_side_options.append((port["name"], options))
-
-    remaining = {side: int(expected.get(side, 0)) for side in sorted(allowed_sides)}
-
-    def assign(index: int) -> bool:
-        if index == len(strongest_side_options):
-            return all(count == 0 for count in remaining.values())
-        _name, options = strongest_side_options[index]
-        for side in options:
-            if remaining[side] <= 0:
-                continue
-            remaining[side] -= 1
-            if assign(index + 1):
-                return True
-            remaining[side] += 1
-        return False
-
-    if not assign(0):
-        raise ReleaseError(
-            f"{example_id}: runtime L4 terminal cross-sections cannot satisfy "
-            f"the declared edge-port histogram {dict(expected)}"
-        )
-
-
-def _validate_runtime_port_contract(
-    row: dict[str, Any],
-    result: dict[str, Any],
-) -> None:
-    example_id = row["id"]
-    expected_ports = _expected_port_count(row["port_signature"])
-    if expected_ports is not None and result["port_count"] != expected_ports:
-        raise ReleaseError(
-            f"{example_id}: port count mismatch "
-            f"expected={expected_ports} observed={result['port_count']}"
-        )
-    ports = _runtime_ports(example_id, result)
-    level = row["level"]
-    if level == "l3":
-        _validate_l3_ports(example_id, row["port_signature"], ports)
-    elif level == "l4":
-        _validate_l4_ports(example_id, row["topology"], result, ports)
-
-
-def _execute_one(
-    row: dict[str, Any],
-    workspace: Path,
-    timeout_seconds: float,
-) -> dict[str, Any]:
-    example_id = row["id"]
-    task_dir = workspace / example_id
-    task_dir.mkdir(parents=True, exist_ok=False)
-    program_path = task_dir / "ground_truth.py"
-    result_path = task_dir / "result.json"
-    program_path.write_text(row["code"], encoding="utf-8")
-    runner_path = workspace / "_runner.py"
-    environment = dict(os.environ)
-    environment.update(
-        {
-            "MPLCONFIGDIR": str(task_dir / ".mpl"),
-            "XDG_CACHE_HOME": str(task_dir / ".cache"),
-        }
-    )
-    completed = subprocess.run(
-        [sys.executable, str(runner_path), str(program_path), str(result_path)],
-        cwd=task_dir,
-        env=environment,
-        capture_output=True,
-        text=True,
-        timeout=timeout_seconds,
-        check=False,
-    )
-    if completed.returncode != 0:
-        tail = (completed.stderr or completed.stdout)[-2000:]
-        raise ReleaseError(
-            f"{example_id}: execution failed ({completed.returncode}): {tail}"
-        )
-    result = read_json(result_path)
-    if result["gds_bytes"] <= 100 or result["polygon_count"] <= 0:
-        raise ReleaseError(f"{example_id}: execution emitted empty geometry")
-    observed = [float(value) for value in result["bbox_span_um"]]
-    if len(observed) != 2 or any(
-        not math.isfinite(value) or value <= 0 for value in observed
-    ):
-        raise ReleaseError(f"{example_id}: execution emitted an invalid GDS bbox")
-    _validate_runtime_port_contract(row, result)
-    return {"id": example_id, **result}
-
-
-def execute_programs(
-    rows: list[dict[str, Any]],
-    *,
-    jobs: int,
-    timeout_seconds: float,
-) -> list[dict[str, Any]]:
-    with tempfile.TemporaryDirectory(prefix="pixcell-release-execution-") as raw:
-        workspace = Path(raw)
-        (workspace / "_runner.py").write_text(EXECUTION_RUNNER, encoding="utf-8")
-        with concurrent.futures.ThreadPoolExecutor(max_workers=max(1, jobs)) as pool:
-            futures = {
-                pool.submit(_execute_one, row, workspace, timeout_seconds): row["id"]
-                for row in rows
-            }
-            results: list[dict[str, Any]] = []
-            for future in concurrent.futures.as_completed(futures):
-                example_id = futures[future]
-                try:
-                    results.append(future.result())
-                except Exception as exc:
-                    for pending in futures:
-                        pending.cancel()
-                    if isinstance(exc, ReleaseError):
-                        raise
-                    raise ReleaseError(f"{example_id}: execution error: {exc}") from exc
-    return sorted(results, key=lambda item: item["id"])
-
-
-def validate_release(
-    root: Path,
-    *,
-    execute: bool = False,
-    jobs: int = 4,
-    timeout_seconds: float = 90.0,
-) -> dict[str, Any]:
-    root = root.expanduser().resolve()
-    verify_checksums(root)
-    for path in iter_release_files(root):
-        if path.suffix.lower() not in {
-            ".cff",
-            ".json",
-            ".md",
-            ".py",
-            ".txt",
-            ".yaml",
-            ".yml",
-        }:
-            continue
-        text = path.read_text(encoding="utf-8")
-        hits = scan_text(path.relative_to(root).as_posix(), text)
-        if hits:
-            raise ReleaseError("; ".join(hits))
-        if path.suffix == ".py":
-            forbidden = forbidden_release_imports(text)
-            if forbidden:
-                raise ReleaseError(
-                    f"{path.relative_to(root)}: forbidden package imports {forbidden}"
-                )
-    card_path = root / "README.md"
-    card_text = card_path.read_text(encoding="utf-8")
-    if any(mark in card_text for mark in ("—", "–", "·")):
-        raise ReleaseError("dataset card contains decorative dash or separator marks")
-    card = DatasetCard.load(str(card_path))
-    card_data = card.data.to_dict()
-    if card_data.get("license") != "mit":
-        raise ReleaseError("dataset card must declare the MIT license")
-    expected_card_metadata = {
-        "pretty_name": "PixCell Dataset",
-        "language": ["en", "code"],
-        "annotations_creators": ["expert-generated", "machine-generated"],
-        "source_datasets": ["original"],
-        "task_categories": ["image-text-to-text"],
-        "size_categories": ["1K<n<10K"],
-        "tags": [
-            "image",
-            "text",
-            "code",
-            "python",
-            "code-generation",
-            "vision-language",
-            "photonics",
-            "gds",
-            "gdsfactory",
-            "image-to-code",
-            "multimodal",
-            "synthetic",
-            "curriculum-learning",
-            "datasets",
-        ],
-    }
-    for field, expected in expected_card_metadata.items():
-        if card_data.get(field) != expected:
-            raise ReleaseError(f"dataset card metadata drift for {field}")
-    configs = card_data.get("configs")
-    if not isinstance(configs, list):
-        raise ReleaseError("dataset card has no configurations")
-    config_names = [record.get("config_name") for record in configs]
-    if config_names != ["all", "core-v1", *LEVELS, "depth-v1"]:
-        raise ReleaseError(f"dataset card configuration drift: {config_names}")
-    if configs[0].get("default") is not True:
-        raise ReleaseError("dataset card's all configuration is not default")
-    core_paths = [f"data/{level}/train-*.parquet" for level in LEVELS]
-    expected_data_files = {
-        "all": [{"split": "train", "path": core_paths}],
-        "core-v1": [{"split": "train", "path": core_paths}],
-        **{
-            level: [
-                {
-                    "split": "train",
-                    "path": f"data/{level}/train-*.parquet",
-                }
-            ]
-            for level in LEVELS
-        },
-        "depth-v1": [
-            {"split": "train", "path": "depth-v1/data/train-*.parquet"},
-            {
-                "split": "validation",
-                "path": "depth-v1/data/validation-*.parquet",
-            },
-        ],
-    }
-    for record in configs:
-        name = str(record["config_name"])
-        if record.get("data_files") != expected_data_files[name]:
-            raise ReleaseError(f"dataset card data_files drift for {name}")
-    expected_dataset_info = [
-        {
-            "config_name": "all",
-            "splits": [{"name": "train", "num_examples": 738}],
-        },
-        {
-            "config_name": "core-v1",
-            "splits": [{"name": "train", "num_examples": 738}],
-        },
-        *[
-            {
-                "config_name": level,
-                "splits": [
-                    {
-                        "name": "train",
-                        "num_examples": count,
-                    }
-                ],
-            }
-            for level, count in zip(LEVELS, (177, 215, 118, 120, 108), strict=True)
-        ],
-        {
-            "config_name": "depth-v1",
-            "splits": [
-                {"name": "train", "num_examples": 3468},
-                {"name": "validation", "num_examples": 1092},
-            ],
-        },
-    ]
-    if card_data.get("dataset_info") != expected_dataset_info:
-        raise ReleaseError("dataset card split metadata drift")
-    catalog = read_json(root / "metadata" / "catalog.json")
-    if catalog.get("schema_version") != SCHEMA_VERSION:
-        raise ReleaseError("catalog schema version drift")
-    if catalog.get("accepted_only") is not True:
-        raise ReleaseError("catalog is not accepted-only")
-    if catalog.get("columns") != list(ROW_COLUMNS):
-        raise ReleaseError("catalog columns drifted")
-    if catalog.get("configurations") != ["all", "core-v1", *LEVELS]:
-        raise ReleaseError("catalog configuration drift")
-    freeze = read_json(root / "factory" / "core-v1" / "freeze.json")
-    if freeze.get("core_name") != "core-v1":
-        raise ReleaseError("core-v1 freeze name drift")
-    if freeze.get("release_digest_sha256") != catalog.get("release_digest_sha256"):
-        raise ReleaseError("catalog differs from frozen core-v1 digest")
-    if freeze.get("row_count") != catalog.get("total_rows"):
-        raise ReleaseError("catalog differs from frozen core-v1 row count")
-    source_bundle = freeze.get("source_bundle")
-    if not isinstance(source_bundle, dict):
-        raise ReleaseError("core-v1 freeze has no source bundle")
-    source_archive = root / str(source_bundle.get("path", ""))
-    if not source_archive.is_file():
-        raise ReleaseError("core-v1 source archive is missing")
-    if sha256_file(source_archive) != source_bundle.get("sha256"):
-        raise ReleaseError("core-v1 source archive digest drift")
-    grammar = freeze.get("grammar_catalog")
-    if not isinstance(grammar, dict):
-        raise ReleaseError("core-v1 freeze has no grammar catalog")
-    grammar_path = root / str(grammar.get("path", ""))
-    if not grammar_path.is_file():
-        raise ReleaseError("core-v1 grammar catalog is missing")
-    if sha256_file(grammar_path) != grammar.get("sha256"):
-        raise ReleaseError("core-v1 grammar catalog digest drift")
-    grammar_catalog = read_json(grammar_path)
-    if grammar_catalog.get("row_count") != catalog.get(
-        "total_rows"
-    ) or grammar_catalog.get("representation_count") != catalog.get(
-        "total_representation_ids"
-    ):
-        raise ReleaseError("core-v1 grammar catalog count drift")
-    policy = freeze.get("admission_policy")
-    if not isinstance(policy, dict):
-        raise ReleaseError("core-v1 freeze has no admission policy")
-    policy_path = root / str(policy.get("path", ""))
-    if not policy_path.is_file() or sha256_file(policy_path) != policy.get("sha256"):
-        raise ReleaseError("core-v1 admission policy digest drift")
-    reproducibility = freeze.get("reproducibility_report")
-    if not isinstance(reproducibility, dict):
-        raise ReleaseError("core-v1 freeze has no reproducibility report")
-    reproducibility_path = root / str(reproducibility.get("path", ""))
-    if not reproducibility_path.is_file() or sha256_file(
-        reproducibility_path
-    ) != reproducibility.get("sha256"):
-        raise ReleaseError("core-v1 reproducibility report digest drift")
-
-    validated: list[dict[str, Any]] = []
-    digest_records: list[dict[str, Any]] = []
-    level_counts: dict[str, int] = {}
-    curriculum_order = 0
-    for level in LEVELS:
-        path = _parquet_path(root, level)
-        table = pq.read_table(path)
-        if table.schema.names != list(ROW_COLUMNS):
-            raise ReleaseError(f"{level}: Parquet column order/schema drift")
-        if b"huggingface" not in (table.schema.metadata or {}):
-            raise ReleaseError(f"{level}: Hugging Face feature metadata is missing")
-        rows = table.to_pylist()
-        digest_records.extend(release_digest_record(row) for row in rows)
-        level_counts[level] = len(rows)
-        expected_count = catalog["levels"][level]["row_count"]
-        if len(rows) != expected_count:
-            raise ReleaseError(
-                f"{level}: row count {len(rows)} != catalog {expected_count}"
-            )
-        validated.extend(
-            _validate_row(
-                row,
-                expected_level=level,
-                expected_order=curriculum_order + index,
-            )
-            for index, row in enumerate(rows)
-        )
-        curriculum_order += len(rows)
-    ids = [row["id"] for row in validated]
-    if len(ids) != len(set(ids)):
-        duplicates = [item for item, count in Counter(ids).items() if count > 1]
-        raise ReleaseError(f"duplicate release IDs: {duplicates}")
-    if len(validated) != catalog["total_rows"]:
-        raise ReleaseError("catalog total row count drift")
-    release_digest = canonical_sha256(digest_records)
-    if release_digest != catalog["release_digest_sha256"]:
-        raise ReleaseError("release digest drift")
-
-    recomputed = _collision_report(validated)
-    catalog_collisions = catalog["collision_report"]
-    for key in (
-        "exact_duplicate_group_count",
-        "exact_duplicate_groups",
-        "d4_equivalent_group_count",
-        "d4_equivalent_groups",
-    ):
-        if recomputed[key] != catalog_collisions[key]:
-            raise ReleaseError(f"collision report drift: {key}")
-    for group in recomputed["exact_duplicate_groups"]:
-        leakage_ids = {
-            row["leakage_group_id"] for row in validated if row["id"] in group
-        }
-        if len(leakage_ids) != 1:
-            raise ReleaseError(f"exact image aliases cross leakage boundaries: {group}")
-
-    execution_results: list[dict[str, Any]] = []
-    if execute:
-        execution_results = execute_programs(
-            validated,
-            jobs=jobs,
-            timeout_seconds=timeout_seconds,
-        )
-    return {
-        "schema_version": SCHEMA_VERSION,
-        "release_digest_sha256": catalog["release_digest_sha256"],
-        "total_rows": len(validated),
-        "level_counts": level_counts,
-        "compiled_programs": len(validated),
-        "purity_clean_programs": len(validated),
-        "embedded_images": 2 * len(validated),
-        "executed_programs": len(execution_results),
-        "collision_report": recomputed,
-    }
-
-
-def _parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument(
-        "--root",
-        type=Path,
-        default=Path(__file__).resolve().parents[1],
-        help="Dataset package root (default: parent of scripts/).",
-    )
-    parser.add_argument(
-        "--execute-programs",
-        action="store_true",
-        help=(
-            "Execute every program and verify emitted GDS and runtime port contracts."
-        ),
-    )
-    parser.add_argument("--jobs", type=int, default=min(8, os.cpu_count() or 4))
-    parser.add_argument("--timeout-seconds", type=float, default=90.0)
-    return parser
-
-
-def main() -> None:
-    args = _parser().parse_args()
-    report = validate_release(
-        args.root,
-        execute=args.execute_programs,
-        jobs=args.jobs,
-        timeout_seconds=args.timeout_seconds,
-    )
-    print(json.dumps(report, indent=2, sort_keys=True))
-
-
-if __name__ == "__main__":
-    main()
diff --git a/tests/test_release.py b/tests/test_release.py
deleted file mode 100644
index 0bcf75150aa8b0d002ac9d519297e504bec36171..0000000000000000000000000000000000000000
--- a/tests/test_release.py
+++ /dev/null
@@ -1,315 +0,0 @@
-"""Release-level regression tests using only the published package."""
-
-from __future__ import annotations
-
-import sys
-import tempfile
-import unittest
-from pathlib import Path
-
-
-ROOT = Path(__file__).resolve().parents[1]
-SCRIPTS = ROOT / "scripts"
-sys.path.insert(0, str(SCRIPTS))
-
-from _shared import (  # noqa: E402
-    LEVELS,
-    ReleaseError,
-    SCHEMA_VERSION,
-    canonical_sha256,
-    iter_release_files,
-    read_json,
-    sha256_file,
-)
-from build_release import (  # noqa: E402
-    ROW_COLUMNS,
-    _validate_l4_source_port_evidence,
-    release_features,
-)
-from validate_release import (  # noqa: E402
-    _validate_runtime_port_contract,
-    validate_release,
-)
-from pack_core_v1_source import write_deterministic_archive  # noqa: E402
-
-
-class ReleaseTests(unittest.TestCase):
-    def test_public_schema_is_stable(self) -> None:
-        self.assertEqual(SCHEMA_VERSION, "pixcell-image-code-curriculum-v1")
-        self.assertEqual(LEVELS, ("l0", "l1", "l2", "l3", "l4"))
-        self.assertEqual(len(ROW_COLUMNS), 30)
-        self.assertEqual(len(ROW_COLUMNS), len(set(ROW_COLUMNS)))
-        self.assertEqual(release_features()["footprint_um"].feature.dtype, "float64")
-
-    def test_canonical_hash_ignores_mapping_order(self) -> None:
-        self.assertEqual(
-            canonical_sha256({"a": 1, "b": [2, 3]}),
-            canonical_sha256({"b": [2, 3], "a": 1}),
-        )
-
-    def test_host_control_files_are_not_checksum_payloads(self) -> None:
-        with tempfile.TemporaryDirectory() as raw:
-            root = Path(raw)
-            (root / ".gitattributes").write_text("*.parquet filter=lfs\n")
-            (root / ".gitignore").write_text("__pycache__/\n")
-            (root / "README.md").write_text("release\n")
-            for cache in ("__pycache__", ".pytest_cache", ".ruff_cache"):
-                directory = root / cache
-                directory.mkdir()
-                (directory / "cache").write_text("host cache\n")
-            self.assertEqual(
-                [path.name for path in iter_release_files(root)],
-                ["README.md"],
-            )
-
-    def test_complete_release(self) -> None:
-        report = validate_release(ROOT)
-        self.assertEqual(report["total_rows"], sum(report["level_counts"].values()))
-        self.assertEqual(report["compiled_programs"], report["total_rows"])
-        self.assertEqual(report["purity_clean_programs"], report["total_rows"])
-        self.assertEqual(report["embedded_images"], 2 * report["total_rows"])
-
-    def test_core_v1_freeze_matches_catalog(self) -> None:
-        freeze = read_json(ROOT / "factory" / "core-v1" / "freeze.json")
-        catalog = read_json(ROOT / "metadata" / "catalog.json")
-        self.assertEqual(freeze["core_name"], "core-v1")
-        self.assertEqual(
-            freeze["release_digest_sha256"],
-            catalog["release_digest_sha256"],
-        )
-        self.assertEqual(freeze["row_count"], catalog["total_rows"])
-        self.assertEqual(
-            freeze["representation_count"],
-            catalog["total_representation_ids"],
-        )
-
-    def test_core_v1_reference_artifacts_are_byte_identical(self) -> None:
-        freeze = read_json(ROOT / "factory" / "core-v1" / "freeze.json")
-        references = freeze.get("reference_artifacts")
-        self.assertIsInstance(references, dict)
-        self.assertTrue(references)
-        for relative, expected_sha256 in sorted(references.items()):
-            path = ROOT / relative
-            self.assertTrue(path.is_file(), relative)
-            self.assertEqual(sha256_file(path), expected_sha256, relative)
-
-    def test_source_archive_writer_is_deterministic(self) -> None:
-        with tempfile.TemporaryDirectory() as raw:
-            root = Path(raw)
-            source = root / "payload.txt"
-            source.write_text("deterministic payload\n", encoding="utf-8")
-            payload = {"rl/tasks/example/payload.txt": source}
-            manifest = {
-                "schema_version": "test",
-                "files": [
-                    {
-                        "path": "rl/tasks/example/payload.txt",
-                        "bytes": source.stat().st_size,
-                        "sha256": sha256_file(source),
-                    }
-                ],
-            }
-            first = root / "first.tar.gz"
-            second = root / "second.tar.gz"
-            write_deterministic_archive(first, payload, manifest)
-            write_deterministic_archive(second, payload, manifest)
-            self.assertEqual(sha256_file(first), sha256_file(second))
-
-    def test_l4_runtime_ports_must_match_declared_boundary_histogram(self) -> None:
-        row = {
-            "id": "l4_test",
-            "level": "l4",
-            "port_signature": "1x2",
-            "topology": {"expected_optical_edge_ports": {"left": 1, "right": 2}},
-        }
-        result = {
-            "bbox_um": [[0.0, -2.0], [10.0, 2.0]],
-            "port_count": 3,
-            "ports": [
-                {
-                    "center": [0.125, 0.0],
-                    "name": "o1",
-                    "orientation": 150.0,
-                    "port_type": "optical",
-                    "width": 0.5,
-                },
-                {
-                    "center": [10.0, -1.0],
-                    "name": "o2",
-                    "orientation": 0.0,
-                    "port_type": "optical",
-                    "width": 0.5,
-                },
-                {
-                    "center": [9.875, 1.0],
-                    "name": "o3",
-                    "orientation": 30.0,
-                    "port_type": "optical",
-                    "width": 0.5,
-                },
-            ],
-        }
-        _validate_runtime_port_contract(row, result)
-        result["ports"][2]["center"] = [5.0, 1.0]
-        with self.assertRaisesRegex(ReleaseError, "no outward"):
-            _validate_runtime_port_contract(row, result)
-        result["ports"][2]["center"] = [10.0, 3.0]
-        with self.assertRaisesRegex(ReleaseError, "no outward"):
-            _validate_runtime_port_contract(row, result)
-        result["ports"][2]["center"] = [10.0, 1.0]
-        result["ports"][2]["orientation"] = 180.0
-        with self.assertRaisesRegex(ReleaseError, "no outward"):
-            _validate_runtime_port_contract(row, result)
-        result["ports"][2] = {**result["ports"][1], "name": "o3"}
-        with self.assertRaisesRegex(ReleaseError, "duplicated physical terminal"):
-            _validate_runtime_port_contract(row, result)
-
-    def test_l4_corner_tie_must_still_satisfy_global_histogram(self) -> None:
-        offset = 2**0.5 * 0.25 / 2
-        result = {
-            "bbox_um": [[0.0, 0.0], [10.0, 10.0]],
-            "port_count": 1,
-            "ports": [
-                {
-                    "center": [offset, 10.0 - offset],
-                    "name": "o1",
-                    "orientation": 135.0,
-                    "port_type": "optical",
-                    "width": 0.5,
-                }
-            ],
-        }
-        satisfiable = {
-            "id": "l4_corner_left",
-            "level": "l4",
-            "port_signature": "1x0",
-            "topology": {"expected_optical_edge_ports": {"left": 1}},
-        }
-        _validate_runtime_port_contract(satisfiable, result)
-        impossible = {
-            "id": "l4_corner_right",
-            "level": "l4",
-            "port_signature": "0x1",
-            "topology": {"expected_optical_edge_ports": {"right": 1}},
-        }
-        with self.assertRaisesRegex(ReleaseError, "cannot satisfy"):
-            _validate_runtime_port_contract(impossible, result)
-
-    def test_l3_runtime_ports_match_full_declared_geometry(self) -> None:
-        port = {
-            "center": [0.0, 0.0],
-            "name": "o1",
-            "orientation": 180.0,
-            "port_type": "optical",
-            "width": 0.5,
-        }
-        row = {
-            "id": "l3_test",
-            "level": "l3",
-            "port_signature": {
-                "count": 1,
-                "names": ["o1"],
-                "ports": [
-                    {
-                        "center": [0.0, 0.0],
-                        "name": "o1",
-                        "orientation": 180.0,
-                        "width": 0.5,
-                    }
-                ],
-            },
-            "topology": {},
-        }
-        result = {
-            "bbox_um": [[0.0, -0.25], [10.0, 0.25]],
-            "port_count": 1,
-            "ports": [port],
-        }
-        _validate_runtime_port_contract(row, result)
-        result["ports"][0]["width"] = 0.6
-        with self.assertRaisesRegex(ReleaseError, "width drifted"):
-            _validate_runtime_port_contract(row, result)
-
-    def test_l2_runtime_ports_are_finite_positive_and_exact_count(self) -> None:
-        row = {
-            "id": "l2_test",
-            "level": "l2",
-            "port_signature": "1x1",
-            "topology": {},
-        }
-        result = {
-            "bbox_um": [[0.0, -0.25], [10.0, 0.25]],
-            "port_count": 2,
-            "ports": [
-                {
-                    "center": [0.0, 0.0],
-                    "name": "o1",
-                    "orientation": 180.0,
-                    "port_type": "optical",
-                    "width": 0.5,
-                },
-                {
-                    "center": [10.0, 0.0],
-                    "name": "o2",
-                    "orientation": 0.0,
-                    "port_type": "optical",
-                    "width": 0.5,
-                },
-            ],
-        }
-        _validate_runtime_port_contract(row, result)
-        result["ports"][1]["width"] = 0.0
-        with self.assertRaisesRegex(ReleaseError, "invalid width"):
-            _validate_runtime_port_contract(row, result)
-
-    def test_l4_package_build_requires_executed_port_evidence(self) -> None:
-        topology = {
-            "expected_optical_edge_ports": {"left": 1, "right": 2},
-            "runtime_port_evidence": {
-                "expected_count": 3,
-                "expected_edge_counts": {
-                    "left": 1,
-                    "right": 2,
-                    "bottom": 0,
-                    "top": 0,
-                },
-                "observed_edge_counts": {
-                    "left": 1,
-                    "right": 2,
-                    "bottom": 0,
-                    "top": 0,
-                },
-                "runtime_inspected": True,
-                "source_admission_bound": False,
-                "machine_checks_passed": True,
-            },
-        }
-        _validate_l4_source_port_evidence("l4_test", topology)
-        stale = {
-            **topology,
-            "runtime_port_evidence": {
-                **topology["runtime_port_evidence"],
-                "runtime_inspected": False,
-                "source_admission_bound": True,
-            },
-        }
-        with self.assertRaisesRegex(ReleaseError, "not runtime-inspected"):
-            _validate_l4_source_port_evidence("l4_test", stale)
-        mismatched = {
-            **topology,
-            "runtime_port_evidence": {
-                **topology["runtime_port_evidence"],
-                "observed_edge_counts": {
-                    "left": 2,
-                    "right": 1,
-                    "bottom": 0,
-                    "top": 0,
-                },
-            },
-        }
-        with self.assertRaisesRegex(ReleaseError, "differs from topology"):
-            _validate_l4_source_port_evidence("l4_test", mismatched)
-
-
-if __name__ == "__main__":
-    unittest.main()