sessions/session_20260921_232447_904863/runs/c6-232447-904863-photo: package_final batch 1/1

sessions/session_20260921_232447_904863/runs/c6-232447-904863-photo/README.md

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+# c6-232447-904863-photo
+
+C6 photo_production production fit of session 232447_904863; configured CMA and 500 Adam traversals completed before operation cutoff.
+
+| Field | Value |
+|---|---|
+| Status | complete |
+| Identity | session_id `session_20260921_232447_904863`, window_id `anchor0336-0500` |
+| Parent | `c6-232447-904863-tracking` adam/c0500 (Exact tracking snapshot selected by the saved photometric scan) |
+| Stages | cma, photometric_adam |
+| Budget (completed/configured) | cma:  (completed_generations 100, issued_asks 800, told_asks 800, physical_failures 0); photometric_adam: traversals 500/500, updates 81500/81500 |
+| Labels | BEST adam/c0198, FINAL adam/c0500 |
+| Code revision(s) | `1341c18fc121f59ec4cd3da6883c5299b4aaae85`; dirty tree by stage: cma reported clean, photometric_adam not recorded |
+| Checkpoint rows | 2717 (`checkpoints.tsv`) |
+| Containers | 8,366 native and evidence files packed in 28 uncompressed tar containers by category (adam_continuation 18, adam_snapshot 1, adam_update_rows 1, cma_candidate 2, cma_generation_state 1, frozen_score 3, logs 1, records 1); `containers/index.json` lists each member's path, offset, size and sha256, and `checkpoints.tsv` still lists every checkpoint file |
+
+## Stages
+
+- **cma** (`native/cma/manifest.json`): "mean of all four views per transition, then mean over K; RP1 active Q5 objective"
+- **photometric_adam** (`native/adam/manifest.json`): {"objective_id": "real_rgbd_active_photometric_v1", "source": "U gs_train.py:128-188 + loss_utils.py (PhysTwin 81c718790a37e5e0102eb77af2c6edd34a9db25f)", "weights": {"lambda_dssim": 0.2, "lambda_seg": 1.0, "lambda_depth": 0.001}, "rgb_ssim": "fused_ssim (U gaussian_splatting/submodules/fused-ssim, padding same, train True)", "seg_ssim": "reference ssim (U loss_utils.ssim, 11x11 window sigma 1.5, 
+  - stiffness update: projected: finite raw log Y moved back onto the physical cap after every update (protocol.projected_log_y true)
+
+## Capabilities
+
+- **portable_use**: native model arrays retained; fresh use (canonical q0/v0, zero updates) from a clean local copy is implemented and validated by PR4 on representative checkpoints; Hub fetch pending; photometric rendering also needs the recorded initial appearance and binding listed in dependencies.json
+- **interrupted_run_recovery**: unsupported for this publication (owner D21): every photometric checkpoint and its continuation state (optimizer moments, cursor, q/v and appearance carry, CMA strategy and asks) is retained, and its resume inputs are published or referenced (D15-D20), but no photometric restore is implemented or claimed
+- **extend_completed_budget**: not supported: the native protocols refuse to extend a finished run's horizon
+- **full_reproduction**: not claimed (D3); dirty-state and environment limits are listed under code
+
+## Limitations
+
+- continuing this fit re-hashes author weights TAPNext++ tapnextpp_512 checkpoint (Google DeepMind TAPNet) (/mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/rt_waft_tapnextpp_refit_01/checkpoints/tapnextpp_512.ckpt); they are not published here (dependencies.json third_party_weights names their source and sha256)
+- historical depth: the run's records name depth_source waft_stereo_dav2l5 but no per-stream digest, so the consumed depth bytes and their publication revision are unresolved; correction ledgers replaced 4 depth paths of this session (c9fa16c0c8ac)
+- photometric_adam: records name 1341c18fc121 but none states whether the working tree was clean when this stage ran
+- Completion records establish completion of the configured work, not owner acceptance of model quality.
+- The push task retains the owner-approved fixed attachment approximation.
+- Photometric continuation remains unsupported. The cache bytes are preserved, but its original identity includes source video mtimes; relocated cached replay has not been qualified.
+
+Native records under `native/` are authoritative; `run.json`, `checkpoints.tsv` and `dependencies.json` index them. License: see the repository `LICENSE` and card.

sessions/session_20260921_232447_904863/runs/c6-232447-904863-photo/run.json

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+{
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+      "path": "native/cma/winner/model/model.npz",
+      "relation": "byte copy of the committed ask (cma._stage_winner)",
+      "role": "CMA winner"
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+    {
+      "bytes_identical": true,
+      "duplicate_of": "native/cma/generations/g084/a01/model/topology.npz",
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+      "relation": "byte copy of the committed ask (cma._stage_winner)",
+      "role": "CMA winner"
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+  "capabilities": {
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+    "full_reproduction": "not claimed (D3); dirty-state and environment limits are listed under code",
+    "interrupted_run_recovery": "unsupported for this publication (owner D21): every photometric checkpoint and its continuation state (optimizer moments, cursor, q/v and appearance carry, CMA strategy and asks) is retained, and its resume inputs are published or referenced (D15-D20), but no photometric restore is implemented or claimed",
+    "portable_use": "native model arrays retained; fresh use (canonical q0/v0, zero updates) from a clean local copy is implemented and validated by PR4 on representative checkpoints; Hub fetch pending; photometric rendering also needs the recorded initial appearance and binding listed in dependencies.json"
+  },
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+    "rule": "Scaling plan \u00a73.2 (owner D30, 2026-11-01): run.json, checkpoints.tsv, dependencies.json, README.md, this index, every BEST/FINAL export component (preflight copies included) and every file whose own container would exceed 1 GiB stay individual files. Other files under native/, evidence/ and inputs/ are packed in path order into uncompressed USTAR containers of at most 1 GiB encoded size per category: the per-step history categories (CMA candidates and generation state, Adam snapshots, continuations, update rows, pass records and scores), 'logs' (.log/.txt/.md/.out/.err) and 'records' (everything else). Member bytes and logical paths are unchanged; each member's data offset is listed, and scripts/phystwin_publish.py fetch restores the native layout.",
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+  "description": "C6 photo_production production fit of session 232447_904863; configured CMA and 500 Adam traversals completed before operation cutoff.",
+  "environment": {
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+    "evidence/selected_tracking_trajectory/rollout.npz",
+    "evidence/terminal_progress/photo_production_progress.json",
+    "evidence/tracking_photometric_scan/candidates/c0500/inputs.json",
+    "evidence/tracking_photometric_scan/candidates/c0500/p0_scores.npz",
+    "evidence/tracking_photometric_scan/candidates/c0500/score.json",
+    "evidence/tracking_photometric_scan/contract.json",
+    "evidence/tracking_photometric_scan/selected_parent_p0/inputs.json",
+    "evidence/tracking_photometric_scan/selected_parent_p0/p0_scores.npz",
+    "evidence/tracking_photometric_scan/selected_parent_p0/score.json",
+    "evidence/tracking_photometric_scan/selection.json"
+  ],
+  "family": "real_rgbd_npz",
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+      "status": "final",
+      "value": "adam/c0198"
+    },
+    "FINAL": {
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+      "note": "final traversal snapshot at the planned horizon (no FINAL export written)",
+      "source": "native/adam/training_complete.json",
+      "value": "adam/c0500"
+    }
+  },
+  "license": {
+    "attribution": null,
+    "id": "mit",
+    "scope": "MIT (owner decision D9) applies to the project-produced fit packages in this repository: native checkpoints, run records and the generated metadata. It does not relicense the linked DAIRLab/phystwin_dataset recordings, which declare no license, or any third-party code or data."
+  },
+  "limitations": [
+    "continuing this fit re-hashes author weights TAPNext++ tapnextpp_512 checkpoint (Google DeepMind TAPNet) (/mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/rt_waft_tapnextpp_refit_01/checkpoints/tapnextpp_512.ckpt); they are not published here (dependencies.json third_party_weights names their source and sha256)",
+    "historical depth: the run's records name depth_source waft_stereo_dav2l5 but no per-stream digest, so the consumed depth bytes and their publication revision are unresolved; correction ledgers replaced 4 depth paths of this session (c9fa16c0c8ac)",
+    "photometric_adam: records name 1341c18fc121 but none states whether the working tree was clean when this stage ran",
+    "Completion records establish completion of the configured work, not owner acceptance of model quality.",
+    "The push task retains the owner-approved fixed attachment approximation.",
+    "Photometric continuation remains unsupported. The cache bytes are preserved, but its original identity includes source video mtimes; relocated cached replay has not been qualified."
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+    "resolved_root": "/mnt/data0/magna/belt_perception_runs/c6_lab_fitting_20261029/232447_904863/photo_production",
+    "rule": "native/<path relative to the recorded root>; native records keep recorded paths"
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+            "value": "winner"
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+        "key": "protocol.map.coordinates",
+        "source": "native/cma/manifest.json",
+        "value": []
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+      "kind": "photometric_cma",
+      "manifest": "native/cma/manifest.json",
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+        "key": "protocol.score",
+        "source": "native/cma/manifest.json",
+        "value": "mean of all four views per transition, then mean over K; RP1 active Q5 objective"
+      },
+      "schema": "real_rgbd_photometric_cma_v1",
+      "searched_coordinates": {
+        "key": "protocol.map.coordinates",
+        "source": "native/cma/manifest.json",
+        "value": [
+          "ground_restitution",
+          "ground_friction",
+          "drag_damping",
+          "dashpot_damping"
+        ]
+      },
+      "settings": {
+        "backend": {
+          "key": "strategy.backend_id",
+          "source": "native/cma/manifest.json",
+          "value": "pycma_4_4_4_serial_ask_tell_v1"
+        },
+        "dimension": {
+          "key": "strategy.dimension",
+          "source": "native/cma/manifest.json",
+          "value": 4
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+        "initial_sigma": {
+          "key": "strategy.initial_sigma",
+          "source": "native/cma/manifest.json",
+          "value": 0.16666666666666666
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+          "value": 8
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+          "value": 42
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+        "stopping": {
+          "key": "protocol.stopping",
+          "source": "native/cma/manifest.json",
+          "value": "native es.stop() at loop head after first generation; else generation cap"
+        }
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+      "stage": "cma",
+      "supervision": {
+        "key": "supervision",
+        "source": "native/cma/manifest.json",
+        "value": null
+      }
+    },
+    {
+      "best_metric": {
+        "key": "protocol.best_metric",
+        "source": "native/adam/manifest.json",
+        "value": "RT photometric active full-window mean"
+      },
+      "budget": {
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+            "value": 500
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+          "updates": {
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