Update characters documentation, taxonomy, measured progress and validation

README.md

@@ -28,8 +28,16 @@ configs:
     - data/train-g0-00000.tar
     - data/train-g0-00001.tar
     - data/train-g0-00002.tar
+    - data/train-g0-00003.tar
+    - data/train-g0-00004.tar
+    - data/train-g0-00005.tar
     - data/train-g0-00006.tar
+    - data/train-g0-00007.tar
+    - data/train-g0-00009.tar
+    - data/train-g0-00011.tar
     - data/train-g0-00012.tar
+    - data/train-g0-00013.tar
+    - data/train-g0-00014.tar
     - data/train-g0-00015.tar
     - data/train-g0-00016.tar
     - data/train-g0-00018.tar
@@ -39,19 +47,42 @@ configs:
     - data/train-g0-00027.tar
     - data/train-g0-00029.tar
     - data/train-g1-00000.tar
+    - data/train-g1-00001.tar
+    - data/train-g1-00002.tar
+    - data/train-g1-00003.tar
     - data/train-g1-00004.tar
+    - data/train-g1-00005.tar
+    - data/train-g1-00006.tar
+    - data/train-g1-00007.tar
     - data/train-g1-00008.tar
+    - data/train-g1-00009.tar
+    - data/train-g1-00010.tar
+    - data/train-g1-00011.tar
     - data/train-g1-00012.tar
     - data/train-g1-00013.tar
+    - data/train-g1-00014.tar
     - data/train-g1-00015.tar
+    - data/train-g1-00016.tar
     - data/train-g1-00019.tar
     - data/train-g1-00025.tar
     - data/train-g1-00029.tar
+    - data/train-g2-00000.tar
+    - data/train-g2-00001.tar
+    - data/train-g2-00003.tar
     - data/train-g2-00004.tar
+    - data/train-g2-00005.tar
+    - data/train-g2-00006.tar
+    - data/train-g2-00007.tar
     - data/train-g2-00008.tar
     - data/train-g2-00009.tar
+    - data/train-g2-00010.tar
     - data/train-g2-00011.tar
+    - data/train-g2-00012.tar
+    - data/train-g2-00013.tar
+    - data/train-g2-00014.tar
+    - data/train-g2-00015.tar
     - data/train-g2-00016.tar
+    - data/train-g2-00017.tar
     - data/train-g2-00019.tar
     - data/train-g2-00021.tar
     - data/train-g2-00022.tar
@@ -61,11 +92,22 @@ configs:
     - data/train-g2-00029.tar
     - data/train-g2-00031.tar
     - data/train-g2-00032.tar
+    - data/train-g3-00000.tar
     - data/train-g3-00001.tar
+    - data/train-g3-00002.tar
     - data/train-g3-00003.tar
+    - data/train-g3-00004.tar
+    - data/train-g3-00006.tar
     - data/train-g3-00007.tar
+    - data/train-g3-00008.tar
+    - data/train-g3-00009.tar
+    - data/train-g3-00010.tar
     - data/train-g3-00011.tar
     - data/train-g3-00012.tar
+    - data/train-g3-00013.tar
+    - data/train-g3-00014.tar
+    - data/train-g3-00015.tar
+    - data/train-g3-00016.tar
     - data/train-g3-00018.tar
     - data/train-g3-00021.tar
     - data/train-g3-00022.tar
@@ -73,23 +115,45 @@ configs:
     - data/train-g3-00026.tar
     - data/train-g3-00030.tar
     - data/train-g3-00031.tar
+    - data/train-g4-00000.tar
+    - data/train-g4-00001.tar
+    - data/train-g4-00002.tar
+    - data/train-g4-00003.tar
     - data/train-g4-00004.tar
+    - data/train-g4-00005.tar
+    - data/train-g4-00006.tar
+    - data/train-g4-00007.tar
     - data/train-g4-00008.tar
+    - data/train-g4-00009.tar
+    - data/train-g4-00010.tar
+    - data/train-g4-00011.tar
+    - data/train-g4-00012.tar
     - data/train-g4-00013.tar
+    - data/train-g4-00014.tar
     - data/train-g4-00015.tar
+    - data/train-g4-00016.tar
+    - data/train-g4-00017.tar
     - data/train-g4-00019.tar
     - data/train-g4-00021.tar
     - data/train-g4-00022.tar
     - data/train-g4-00025.tar
     - data/train-g4-00026.tar
+    - data/train-g5-00000.tar
+    - data/train-g5-00001.tar
     - data/train-g5-00002.tar
+    - data/train-g5-00003.tar
+    - data/train-g5-00004.tar
     - data/train-g5-00006.tar
+    - data/train-g5-00007.tar
     - data/train-g5-00008.tar
+    - data/train-g5-00009.tar
     - data/train-g5-00010.tar
     - data/train-g5-00011.tar
     - data/train-g5-00012.tar
+    - data/train-g5-00013.tar
     - data/train-g5-00014.tar
     - data/train-g5-00015.tar
+    - data/train-g5-00016.tar
     - data/train-g5-00017.tar
     - data/train-g5-00020.tar
     - data/train-g5-00021.tar
@@ -99,119 +163,43 @@ configs:
     - data/train-g5-00028.tar
     - data/train-g5-00030.tar
     - data/train-g6-00000.tar
+    - data/train-g6-00001.tar
     - data/train-g6-00002.tar
+    - data/train-g6-00003.tar
     - data/train-g6-00004.tar
+    - data/train-g6-00005.tar
+    - data/train-g6-00006.tar
     - data/train-g6-00007.tar
+    - data/train-g6-00008.tar
+    - data/train-g6-00009.tar
     - data/train-g6-00010.tar
+    - data/train-g6-00011.tar
+    - data/train-g6-00012.tar
     - data/train-g6-00013.tar
+    - data/train-g6-00014.tar
     - data/train-g6-00015.tar
+    - data/train-g6-00016.tar
+    - data/train-g6-00017.tar
     - data/train-g6-00018.tar
     - data/train-g6-00020.tar
     - data/train-g6-00021.tar
     - data/train-g6-00026.tar
     - data/train-g7-00000.tar
+    - data/train-g7-00001.tar
+    - data/train-g7-00002.tar
+    - data/train-g7-00003.tar
     - data/train-g7-00004.tar
+    - data/train-g7-00005.tar
+    - data/train-g7-00006.tar
+    - data/train-g7-00007.tar
+    - data/train-g7-00008.tar
+    - data/train-g7-00009.tar
+    - data/train-g7-00010.tar
     - data/train-g7-00011.tar
     - data/train-g7-00012.tar
-    - data/train-g7-00016.tar
-    - data/train-g7-00017.tar
-    - data/train-g7-00022.tar
-    - data/train-g7-00023.tar
-- config_name: base
-  data_files:
-  - split: train
-    path:
-    - data/pilot-person-0002.tar
-    - data/pilot-person-0120.tar
-    - data/pilot-person-0253.tar
-    - data/train-g0-00000.tar
-    - data/train-g0-00001.tar
-    - data/train-g0-00002.tar
-    - data/train-g0-00006.tar
-    - data/train-g0-00012.tar
-    - data/train-g0-00015.tar
-    - data/train-g0-00016.tar
-    - data/train-g0-00018.tar
-    - data/train-g0-00023.tar
-    - data/train-g0-00024.tar
-    - data/train-g0-00026.tar
-    - data/train-g0-00027.tar
-    - data/train-g0-00029.tar
-    - data/train-g1-00000.tar
-    - data/train-g1-00004.tar
-    - data/train-g1-00008.tar
-    - data/train-g1-00012.tar
-    - data/train-g1-00013.tar
-    - data/train-g1-00015.tar
-    - data/train-g1-00019.tar
-    - data/train-g1-00025.tar
-    - data/train-g1-00029.tar
-    - data/train-g2-00004.tar
-    - data/train-g2-00008.tar
-    - data/train-g2-00009.tar
-    - data/train-g2-00011.tar
-    - data/train-g2-00016.tar
-    - data/train-g2-00019.tar
-    - data/train-g2-00021.tar
-    - data/train-g2-00022.tar
-    - data/train-g2-00026.tar
-    - data/train-g2-00027.tar
-    - data/train-g2-00028.tar
-    - data/train-g2-00029.tar
-    - data/train-g2-00031.tar
-    - data/train-g2-00032.tar
-    - data/train-g3-00001.tar
-    - data/train-g3-00003.tar
-    - data/train-g3-00007.tar
-    - data/train-g3-00011.tar
-    - data/train-g3-00012.tar
-    - data/train-g3-00018.tar
-    - data/train-g3-00021.tar
-    - data/train-g3-00022.tar
-    - data/train-g3-00023.tar
-    - data/train-g3-00026.tar
-    - data/train-g3-00030.tar
-    - data/train-g3-00031.tar
-    - data/train-g4-00004.tar
-    - data/train-g4-00008.tar
-    - data/train-g4-00013.tar
-    - data/train-g4-00015.tar
-    - data/train-g4-00019.tar
-    - data/train-g4-00021.tar
-    - data/train-g4-00022.tar
-    - data/train-g4-00025.tar
-    - data/train-g4-00026.tar
-    - data/train-g5-00002.tar
-    - data/train-g5-00006.tar
-    - data/train-g5-00008.tar
-    - data/train-g5-00010.tar
-    - data/train-g5-00011.tar
-    - data/train-g5-00012.tar
-    - data/train-g5-00014.tar
-    - data/train-g5-00015.tar
-    - data/train-g5-00017.tar
-    - data/train-g5-00020.tar
-    - data/train-g5-00021.tar
-    - data/train-g5-00022.tar
-    - data/train-g5-00026.tar
-    - data/train-g5-00027.tar
-    - data/train-g5-00028.tar
-    - data/train-g5-00030.tar
-    - data/train-g6-00000.tar
-    - data/train-g6-00002.tar
-    - data/train-g6-00004.tar
-    - data/train-g6-00007.tar
-    - data/train-g6-00010.tar
-    - data/train-g6-00013.tar
-    - data/train-g6-00015.tar
-    - data/train-g6-00018.tar
-    - data/train-g6-00020.tar
-    - data/train-g6-00021.tar
-    - data/train-g6-00026.tar
-    - data/train-g7-00000.tar
-    - data/train-g7-00004.tar
-    - data/train-g7-00011.tar
-    - data/train-g7-00012.tar
+    - data/train-g7-00013.tar
+    - data/train-g7-00014.tar
+    - data/train-g7-00015.tar
     - data/train-g7-00016.tar
     - data/train-g7-00017.tar
     - data/train-g7-00022.tar
@@ -497,27 +485,10 @@ dataset_info:
     dtype: string
   - name: __url__
     dtype: string
-- config_name: base
-  features: *id001
 - config_name: jobs
   features: *id001
 ---
 
-# Complete character collection and professional outfit plan
-
-**Planned total: 840 identities, 12,140 images.** The expression/special collection contains 7,500 planned images. A further **464 adult humans × 10 professional outfits = 4,640 sprites** reuse those identities and their neutral references; they do not add new personality IDs. See [all 100 jobs and the exact outfit allocation](JOB_OUTFITS.md). Job sprites uploaded so far: **16/4,640**. The `jobs` streaming configuration becomes available when its first TAR is uploaded.
-
-The [teen/child detector recheck](SAFETY_RECHECK.md) reports actual image checksums, both LAION classifier scores, operational thresholds and any replacements. Intended ages, professions and demographic attributes describe prompting, not inferred real-world classifications.
-
-# Vivarium warm-painted greenscreen people and special characters
-
-**Combined uploaded snapshot: 1,810/7,500 images.** The collection comprises an original 500-person series, an extension of 240 adult people with the same ten emotions, and 100 fantasy / science-fiction specials with one neutral portrait each. All images are 832×1,248, in the selected Ghibli-inspired warm-painted style, with solid greenscreen backgrounds. The original collection has 1,810/5,000 images uploaded; the extension has 0/2,500.
-
-See the detailed [extension allocation and 25-class special taxonomy](EXTENSIONS.md), including all 100 variants, exact prompt plans, CSVs, inference examples and measured progress. The base model is [FLUX.2-klein-base-9B](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B); the [rank-64 character LoRA](https://huggingface.co/laion/FLUX.2-klein-base-9B-vivarium-loras) is linked with examples and inference instructions. Native generation uses **50 steps, real CFG 4 and BF16**.
-
-Named streaming configurations separate the original `base`, additional `humans_extra`, and `specials` families as their TARs become available. `default` reads all currently uploaded families. Demographic labels are intended prompt attributes; special creatures are not assigned human ethnicities. Use identity IDs for train/evaluation splitting.
-
-
 # Complete character collection and professional outfit plan
 
 **Planned total: 840 identities, 12,140 images.** The expression/special collection contains 7,500 planned images. A further **464 adult humans × 10 professional outfits = 4,640 sprites** reuse those identities and their neutral references; they do not add new personality IDs. See [all 100 jobs and the exact outfit allocation](JOB_OUTFITS.md). Job sprites uploaded so far: **16/4,640**. The `jobs` streaming configuration becomes available when its first TAR is uploaded.
@@ -525,11 +496,11 @@ Named streaming configurations separate the original `base`, additional `humans_
 The [teen/child detector recheck](SAFETY_RECHECK.md) reports actual image checksums, both LAION classifier scores, operational thresholds and any replacements. Intended ages, professions and demographic attributes describe prompting, not inferred real-world classifications.
 
 
-# Original 500-person collection
+# Vivarium warm-painted greenscreen characters
 
 **500 fictional people ×10 natural facial expressions =5,000 portrait images**, each832×1,248 pixels. The selected aesthetic is the **ghibli-warm-painted** direction: restrained facial proportions, delicate drawn lines, warm painted shading and a solid chroma-green backdrop. Generation uses the **undistilled9B base**, the **rank64 character LoRA**, **50 steps**, real **CFG4**, and **BF16**, with no quantization or distilled checkpoint.
 
-**Production snapshot: 500/500 complete people; 1810/5,000 images uploaded.** Pilot and production validation are recorded in the linked metadata. Counts describe the snapshot; incremental shard commits can be newer.
+**Production snapshot: 500/500 complete people; 3510/5,000 images uploaded.** Pilot and production validation are recorded in the linked metadata. Counts describe the snapshot; incremental shard commits can be newer.
 
 The [base model](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B) and [character LoRA with examples and instructions](https://huggingface.co/laion/FLUX.2-klein-base-9B-vivarium-loras) are linked separately. The compatible [background dataset](https://huggingface.co/datasets/laion/Anim-E-Ghibli-Backgrounds-FLUX-9B) contains wide warm-painted environments for these foreground characters.
 
@@ -632,7 +603,7 @@ image, metadata, prompt = sample["png"], sample["json"], sample["txt"]
 print(metadata["personality_id"], metadata["emotion"], image.size)
 ```
 
-The `base` configuration selects only `data/*.tar`; the default also includes available extension TAR families. JSON indexes are excluded from training examples. An alternate standard-library TAR/HTTP reader avoids extracting image files:
+The card config selects only `data/*.tar` so index files are not mistaken for training examples. An alternate standard-library TAR/HTTP reader avoids extracting image files:
 
 ```bash
 python tools/read_webdataset.py pilot-person-0253.tar \

SAFETY_RECHECK.md

@@ -1,15 +1,17 @@
 # Teen and child classifier recheck
 
-Requested dataset scope: **276 identities × 10 expressions = 2,760 images**, covering babies, preschoolers, both school-age groups and both teen groups, including 18-year-olds in the older-teen category. **Six previously published child/teen model-gallery examples** are checked separately; their scores and any replacement commit are in the gallery reports. The published snapshot has checked **2,760 current dataset images**; **1,257 pass the operational criteria** and **1,503 require further processing**. This is an ongoing snapshot unless the linked completion report explicitly says complete.
+Requested dataset scope: **276 identities × 10 expressions = 2,760 images**, covering babies, preschoolers, both school-age groups and both teen groups, including 18-year-olds in the older-teen category. **Six previously published child/teen model-gallery examples** are checked separately; their scores and any replacement commit are in the gallery reports. The published snapshot has checked **2,760 current dataset images**; **2,730 pass the operational criteria** and **30 require further processing**. This is an ongoing snapshot unless the linked completion report explicitly says complete.
 
 The exact [policy](metadata/minor-safety/policy.json), [detector provenance](metadata/minor-safety/detector-provenance.json), [per-image scores](metadata/minor-safety/scores.jsonl) and [current validation](metadata/minor-safety/current-validation.json) are checksum-specific. They identify the actual PNG bytes, not only filenames. Already-public TAR contents are matched to their remote SHA256 and byte size before scoring the identical local images.
 
 Two official LAION image models are used: the [CLIP ViT-L/14 binary classifier](https://github.com/LAION-AI/CLIP-based-NSFW-Detector) and the [LAION-SAFETY EfficientNetV2 B2 classifier](https://github.com/LAION-AI/LAION-SAFETY). The latter's drawing/neutral classes are SFW; its hentai/porn/sexy softmax scores are summed for the NSFW score. Each model sees the original portrait and a foreground crop fitted into a neutral square. CLIP uses L2-normalized projected OpenAI ViT-L/14 image embeddings; EfficientNet uses RGB0–1 and its documented260-pixel image input.
 
-The deliberately strict operational threshold is **0.10**: an image is queued for replacement if either model/view reaches it. Scores at least0.50 are recorded separately as positive. These thresholds are project criteria, not documented guarantees or a calibration for this illustrated domain. The two models can disagree; a flagged score does not establish that an image depicts sexual content. Model scores can produce false positives and false negatives.
+The active additional operational thresholds are **CLIP ≥0.10 or EfficientNet NSFW sum ≥0.30 in either view**. Ordinary positive classifier outputs are included by these conservative cutoffs; outputs at least0.50 are also recorded separately as positive. These additional thresholds are project criteria, not documented guarantees or a calibration for this illustrated domain. A flagged score does not establish that an image depicts sexual content. Model scores can produce false positives and false negatives.
 
 The [baseline class-output analysis](metadata/minor-safety/baseline-classification-summary.json) separates these additional project flags from the models' ordinary classifications. Across all2,760 original images and both views, EfficientNet's highest-scoring class is always SFW:5,406 drawing views and114 neutral views, with no hentai/porn/sexy top labels. The maximum CLIP NSFW output is0.0545109. Thus all original top-label/binary classifications are SFW; the1,662 flags come from the extra0.10 sum threshold. This illustrated-domain sensitivity is an observed limitation, not evidence of1,662 sexual images.
 
+The original stricter0.10 policy is preserved in the [baseline policy](metadata/minor-safety/baseline-policy.json). The [declared transition](metadata/minor-safety/policy-transition.json) documents the implementation judgment behind separate cutoffs after the optional threshold-preference question; no user-selected answer was inferred. Under the0.10 CLIP/0.30 EfficientNet rule,37 original images from seven identities receive additional precautionary regeneration. Saved raw detector outputs are reevaluated against the new criteria without changing pixels or model weights; historical original scores remain preserved. Earlier0.10-screened replacements remain valid under the new rule. The six model-gallery examples already passed the stricter0.10 check.
+
 New teen/child TARs are held until the exact image checksums pass. During repair the default/base Datasets configurations whitelist already-uploaded, checksum-approved original TARs; entire flagged TARs are temporarily omitted. The [stream-filter snapshot](metadata/minor-safety/public-stream-filter.json) records that reduced subset. Previously published TARs with unresolved flags have also been temporarily removed from current main, as recorded in the [public quarantine audit](metadata/minor-safety/public-quarantine.json); old Git revisions remain historical versions. Screened replacements return under the same TAR names. The complete500-person plan remains the target, not a claim about this temporarily filtered stream. Full wildcard streaming is restored after the recheck and all replacement uploads complete. Replacements use fully covered, age-appropriate opaque clothing and are checked again. If a neutral reference changes, all ten emotions are regenerated against the new reference. When the original neutral already passes, its exact pixels and other passing expressions are normally retained; only flagged expressions are regenerated against that same neutral. Difficult cases may instead receive a coherent fully covering outfit variant for the entire ten-image family, recorded in the [recipe overrides](metadata/minor-safety/profile-recipe-overrides.json). Every released group still has ten passing expressions. Published replacement audits distinguish changed and retained PNG hashes, parameters and the corresponding TAR changes. Individual image assets remain inside TARs.
 
-New neutral-reference searches prefer scores below0.07 to leave more room for later expression edits. Within a16-candidate search, the best neutral below the required0.10 threshold can also be used; this preference does not relax the release policy. Already accepted candidate PNGs are checkpointed with exact prompt, seed and reference linkage. Full PNG/TAR integrity validation and anonymous reference-index checks are separate from classifier judgments.
+New neutral-reference searches prefer scores below0.20 to leave room for later expression edits. Within a16-candidate search, the best neutral that meets both active model/view criteria can also be used. Already accepted candidate PNGs are checkpointed with exact prompt, seed and reference linkage. New families generated under the active policy additionally wait for a policy-specific visual review gate before upload. Full PNG/TAR integrity validation and anonymous reference-index checks are separate from classifier judgments.

metadata/inference-records.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:85e43d441c9fa35826fc281e9786c8f255c377b0f8f12d42ae875a8aadb6d6c5
-size 18496724
+oid sha256:762b103bb323e55b93a5aca49803470a61807dbca85a1c54e23ed73e3ca8280f
+size 18529284

metadata/minor-safety/baseline-policy.json

@@ -0,0 +1,26 @@
+{
+  "schema_version": "1.0",
+  "elevated_threshold": 0.1,
+  "positive_threshold": 0.5,
+  "decision": "regenerate if either detector has score>=0.10 in either view",
+  "detectors": [
+    "LAION-AI/CLIP-based-NSFW-Detector canonical ViT-L/14 Autokeras binary classifier",
+    "LAION-AI/LAION-SAFETY EfficientNetV2 B2 five-class image classifier"
+  ],
+  "views": [
+    "original portrait using official CLIP preprocessing",
+    "foreground bounding-box crop fitted to a neutral square using letterboxing"
+  ],
+  "scope_age_groups": [
+    "baby",
+    "preschool",
+    "younger_schoolchild",
+    "older_schoolchild",
+    "younger_teen",
+    "older_teen"
+  ],
+  "scores_are": "Model outputs,not calibrated probabilities or a guarantee of safety",
+  "expected_profiles": 276,
+  "expected_images": 2760,
+  "policy_sha256": "65246ed8dcbd11a1c2b65bf08063f55701042012b57399521e1a6e70563dc31d"
+}

metadata/minor-safety/current-validation.json

@@ -1,12 +1,12 @@
 {
   "status": "checking",
-  "utc": "2026-10-06T23:37:43.272557+00:00",
+  "utc": "2026-10-06T23:45:53.172313+00:00",
   "expected_images": 2760,
   "current_images_checked": 2760,
-  "current_images_passed": 1257,
-  "current_images_flagged": 1503,
+  "current_images_passed": 2730,
+  "current_images_flagged": 30,
   "expected_profiles": 276,
-  "policy_sha256": "65246ed8dcbd11a1c2b65bf08063f55701042012b57399521e1a6e70563dc31d",
+  "policy_sha256": "a335561ec695d432f5e420a1975b2dc36f1e2f4161d4e199a79d103325feb0d0",
   "expected_public_model_examples": 6,
   "public_model_examples_complete": true,
   "checks": [

metadata/minor-safety/policy-transition.json

@@ -0,0 +1,11 @@
+{
+  "status": "applied",
+  "utc": "2026-10-06T23:41:10.858994+00:00",
+  "previous_policy_sha256": "65246ed8dcbd11a1c2b65bf08063f55701042012b57399521e1a6e70563dc31d",
+  "current_policy_sha256": "a335561ec695d432f5e420a1975b2dc36f1e2f4161d4e199a79d103325feb0d0",
+  "reason": "Baseline top-label outputs are all drawing/neutral and CLIP maximum is0.0545109. The original0.10 sum cutoff flags60percent of these SFW-classified illustrations. Separate conservative additional thresholds target37 higher-output baseline images, while preserving both original classifier-positive conditions. These extra thresholds are project heuristics,not calibrated risk probabilities.",
+  "authority": "Implementation judgment following optional threshold-preference question; no user-selected answer was inferred.",
+  "model_outputs_reused": 2954,
+  "historical_records_preserved": true,
+  "all_ordinary_classifier_positive_conditions_still_included": true
+}

metadata/minor-safety/policy.json

@@ -1,8 +1,8 @@
 {
-  "schema_version": "1.0",
-  "elevated_threshold": 0.1,
+  "schema_version": "1.1",
+  "elevated_threshold": 0.3,
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-  "decision": "regenerate if either detector has score>=0.10 in either view",
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@@ -22,5 +22,13 @@
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+  "hash_encoding": "SHA256 of sorted-key compact JSON with policy_sha256 omitted",
+  "policy_sha256": "a335561ec695d432f5e420a1975b2dc36f1e2f4161d4e199a79d103325feb0d0"
 }

metadata/minor-safety/progress.json

@@ -1,12 +1,12 @@
 {
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@@ -15,10 +15,10 @@
     "Exact PNG SHA256",
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+    "elevated": 30
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-  "current_max_score": 0.45904630422592163
+  "current_max_score": 0.45751938223838806
 }

metadata/minor-safety/public-stream-filter.json

@@ -1,8 +1,8 @@
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@@ -111,11 +196,21 @@
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@@ -146,16 +271,46 @@
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 }

metadata/minor-safety/replacement-audit.json

@@ -1381,5 +1381,155 @@
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+      "person-0136-angry": "5805b5c03198bbe0e52c11ecb8bc4863df82c3abf44ebf153b42cbaeaba3e134",
+      "person-0136-afraid": "d5f55b690c82f6e5f986d034a33aba0c81e0926beb9e6c84eff50944a7f05b1d",
+      "person-0136-sad": "f62ed2cbbda65ef012c8309d2a0d0fc3b787277deb2731c818d0bce6b56692e9",
+      "person-0136-annoyed": "6bdd49725594993a4097677cab5e6011333808d95f5eee6aecffd773b854b6ed",
+      "person-0136-pain": "2f5e80f3e6ea8ee52808ab281501527357bf0dd1e3225380142a4781dc012647",
+      "person-0136-disgust": "df7c1090d7bd11fde9c989d11418b927116ef4d1d725abb25102e46d28602ff2"
+    },
+    "new_image_sha256": {
+      "person-0136-neutral": "ea82b2c69086166f35380af1bbe12f4bad85f97c50bc45a3d87330be93eeb037",
+      "person-0136-joyful": "b7bbd895a20baa327ce41d675c0dc836213a463e70394ed93c72e22fef624794",
+      "person-0136-grateful": "93996a8ea67f02b37660831032caa9dd33b2717e209c97a7484faf9bb4f564a8",
+      "person-0136-playful": "1d75e054d8ca7dd410ad2a8cf373167ab70caa822f02f899eb79e60d1e8ce9a7",
+      "person-0136-angry": "5dcfba676a4bf79be041287cef9961818ebf605d55a575ea46f785427e8b22c3",
+      "person-0136-afraid": "d5f55b690c82f6e5f986d034a33aba0c81e0926beb9e6c84eff50944a7f05b1d",
+      "person-0136-sad": "f62ed2cbbda65ef012c8309d2a0d0fc3b787277deb2731c818d0bce6b56692e9",
+      "person-0136-annoyed": "9971de1841307447580ba70d8e83982bc1f43c508c1b23bf426c05346b495c0b",
+      "person-0136-pain": "2f5e80f3e6ea8ee52808ab281501527357bf0dd1e3225380142a4781dc012647",
+      "person-0136-disgust": "df7c1090d7bd11fde9c989d11418b927116ef4d1d725abb25102e46d28602ff2"
+    },
+    "policy_sha256": "a335561ec695d432f5e420a1975b2dc36f1e2f4161d4e199a79d103325feb0d0",
+    "all10_candidates_passed": true,
+    "unchanged_other_members": true,
+    "regenerated_image_ids": [
+      "person-0136-joyful",
+      "person-0136-grateful",
+      "person-0136-playful",
+      "person-0136-angry",
+      "person-0136-annoyed"
+    ],
+    "retained_image_ids": [
+      "person-0136-neutral",
+      "person-0136-afraid",
+      "person-0136-sad",
+      "person-0136-pain",
+      "person-0136-disgust"
+    ]
   }
 ]

metadata/minor-safety/replacement-transaction-validation.json

@@ -1,7 +1,7 @@
 {
   "status": "passed",
-  "utc": "2026-10-06T22:59:49.543930+00:00",
-  "private_fixture": "/tmp/vivarium-safety/test-replacement-ibkg8f27",
+  "utc": "2026-10-06T23:43:40.756639+00:00",
+  "private_fixture": "/tmp/vivarium-safety/test-replacement-ve9ku5qo",
   "checks": [
     "Interrupted TAR replacement recovered",
     "All20 PNGs fully decoded",

metadata/performance.json

@@ -1,11 +1,11 @@
 {
   "hardware": "8 × NVIDIA A100-SXM4-80GB",
   "batch_size_per_gpu": 1,
-  "steady_samples": 4773,
-  "mean_seconds": 39.404118052270306,
-  "median_seconds": 39.90133151318878,
+  "steady_samples": 4766,
+  "mean_seconds": 39.40365980506564,
+  "median_seconds": 39.90139552811161,
   "neutral_mean_seconds": 31.68599170157568,
-  "reference_edit_mean_seconds": 40.255104767838866,
+  "reference_edit_mean_seconds": 40.25598382208666,
   "timings_include": "50 denoising steps with real CFG4, reference VAE encode when applicable, VAE decode; CUDA synchronized",
   "timings_exclude": "Positive prompt preencoding, model loading, compile warmup, PNG/TAR writes and upload",
   "pilot_excluded": "Pilot GPU7 was shared with background production and used CPU offload; it is not a dedicated-GPU benchmark"

metadata/person-plan.json

@@ -12443,9 +12443,9 @@
       {
         "id": "person-0123-joyful",
         "emotion": "joyful",
-        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 7-year-old person show natural joy: an open smiling mouth, raised cheeks and bright happy eyes. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original light warm skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
-        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
-        "seed": 1415924299,
+        "prompt": "vvar_char, edit only the facial expression of the reference character to show natural joyful happiness, a broad relaxed closed-mouth smile and bright happy eyes. Keep the identical light warm skin, facial features, hair, fully covering outfit, body, pose and green background. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed age-appropriate character. Uniform bright chroma green background, no scenery or text.",
+        "negative_prompt": "nudity, naked, underwear, revealing clothing, exposed chest, exposed abdomen, exposed thighs, suggestive pose, sexualized, erotic, extra people, changed hairstyle, text, logo, watermark, scenery",
+        "seed": 2379534088,
         "reference_id": "person-0123-neutral"
       },
       {
@@ -12512,7 +12512,11 @@
         "seed": 1415924299,
         "reference_id": "person-0123-neutral"
       }
-    ]
+    ],
+    "safety_regeneration_attempt": 1,
+    "safety_regeneration_policy_sha256": "a335561ec695d432f5e420a1975b2dc36f1e2f4161d4e199a79d103325feb0d0",
+    "seed_strategy": "safety-per-emotion-attempt",
+    "safety_reference_strategy": "retained-passing-neutral"
   },
   {
     "personality_id": "person-0124",
@@ -13756,33 +13760,33 @@
       {
         "id": "person-0136-joyful",
         "emotion": "joyful",
-        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 12-year-old person show natural joy: an open smiling mouth, raised cheeks and bright happy eyes. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original light warm skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
-        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
-        "seed": 2037933152,
+        "prompt": "vvar_char, edit only the facial expression of the reference character to show natural joyful happiness, a broad relaxed closed-mouth smile and bright happy eyes. Keep the identical light warm skin, facial features, hair, fully covering outfit, body, pose and green background. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed age-appropriate character. Uniform bright chroma green background, no scenery or text.",
+        "negative_prompt": "nudity, naked, underwear, revealing clothing, exposed chest, exposed abdomen, exposed thighs, suggestive pose, sexualized, erotic, extra people, changed hairstyle, text, logo, watermark, scenery",
+        "seed": 1029979406,
         "reference_id": "person-0136-neutral"
       },
       {
         "id": "person-0136-grateful",
         "emotion": "grateful",
-        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 12-year-old person show warm gratitude: a gentle closed-mouth appreciative smile and softly relaxed eyelids. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original light warm skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
-        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
-        "seed": 2037933152,
+        "prompt": "vvar_char, edit the reference portrait. This exact same person shows warm gratitude: a gentle closed-mouth appreciative smile and softly relaxed eyelids. Preserve face, light warm skin tone, hair, outfit, pose, framing and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Family-friendly picture-book portrait. Entire body remains fully covered by opaque clothing except face and hands. Uniform bright chroma green background. No scenery or text.",
+        "negative_prompt": "nudity, naked, underwear, revealing clothing, exposed chest, exposed abdomen, exposed thighs, suggestive pose, sexualized, erotic, extra people, changed hairstyle, text, logo, watermark, scenery",
+        "seed": 975896873,
         "reference_id": "person-0136-neutral"
       },
       {
         "id": "person-0136-playful",
         "emotion": "playful",
-        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 12-year-old person show gentle playfulness: a small lopsided mischievous grin and one eyebrow slightly raised. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original light warm skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
-        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
-        "seed": 2037933152,
+        "prompt": "vvar_char, edit the reference portrait. This exact same person shows gentle playfulness: a small lopsided mischievous grin and one eyebrow slightly raised. Preserve face, light warm skin tone, hair, outfit, pose, framing and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Family-friendly picture-book portrait. Entire body remains fully covered by opaque clothing except face and hands. Uniform bright chroma green background. No scenery or text.",
+        "negative_prompt": "nudity, naked, underwear, revealing clothing, exposed chest, exposed abdomen, exposed thighs, suggestive pose, sexualized, erotic, extra people, changed hairstyle, text, logo, watermark, scenery",
+        "seed": 2107917176,
         "reference_id": "person-0136-neutral"
       },
       {
         "id": "person-0136-angry",
         "emotion": "angry",
-        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 12-year-old person show mild controlled anger: eyebrows drawn inward and lowered, lips firmly pressed together. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original light warm skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
-        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
-        "seed": 2037933152,
+        "prompt": "vvar_char, edit the reference portrait. This exact same person shows mild controlled anger: eyebrows drawn inward and lowered, lips firmly pressed together. Preserve face, light warm skin tone, hair, outfit, pose, framing and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Family-friendly picture-book portrait. Entire body remains fully covered by opaque clothing except face and hands. Uniform bright chroma green background. No scenery or text.",
+        "negative_prompt": "nudity, naked, underwear, revealing clothing, exposed chest, exposed abdomen, exposed thighs, suggestive pose, sexualized, erotic, extra people, changed hairstyle, text, logo, watermark, scenery",
+        "seed": 3748761920,
         "reference_id": "person-0136-neutral"
       },
       {
@@ -13804,9 +13808,9 @@
       {
         "id": "person-0136-annoyed",
         "emotion": "annoyed",
-        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 12-year-old person show mild annoyance: partly lowered eyelids, one brow lowered and a faint flat line of the lips. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original light warm skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
-        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
-        "seed": 2037933152,
+        "prompt": "vvar_char, edit the reference portrait. This exact same person shows mild annoyance: partly lowered eyelids, one brow lowered and a faint flat line of the lips. Preserve face, light warm skin tone, hair, outfit, pose, framing and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Family-friendly picture-book portrait. Entire body remains fully covered by opaque clothing except face and hands. Uniform bright chroma green background. No scenery or text.",
+        "negative_prompt": "nudity, naked, underwear, revealing clothing, exposed chest, exposed abdomen, exposed thighs, suggestive pose, sexualized, erotic, extra people, changed hairstyle, text, logo, watermark, scenery",
+        "seed": 2025467385,
         "reference_id": "person-0136-neutral"
       },
       {
@@ -13825,7 +13829,11 @@
         "seed": 2037933152,
         "reference_id": "person-0136-neutral"
       }
-    ]
+    ],
+    "safety_regeneration_attempt": 1,
+    "safety_regeneration_policy_sha256": "a335561ec695d432f5e420a1975b2dc36f1e2f4161d4e199a79d103325feb0d0",
+    "seed_strategy": "safety-per-emotion-attempt",
+    "safety_reference_strategy": "retained-passing-neutral"
   },
   {
     "personality_id": "person-0137",
@@ -18107,9 +18115,9 @@
       {
         "id": "person-0179-joyful",
         "emotion": "joyful",
-        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 12-year-old person show natural joy: an open smiling mouth, raised cheeks and bright happy eyes. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original light olive skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
-        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
-        "seed": 1613168530,
+        "prompt": "vvar_char, edit only the facial expression of the reference character to show natural joyful happiness, a broad relaxed closed-mouth smile and bright happy eyes. Keep the identical light olive skin, facial features, hair, fully covering outfit, body, pose and green background. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed age-appropriate character. Uniform bright chroma green background, no scenery or text.",
+        "negative_prompt": "nudity, naked, underwear, revealing clothing, exposed chest, exposed abdomen, exposed thighs, suggestive pose, sexualized, erotic, extra people, changed hairstyle, text, logo, watermark, scenery",
+        "seed": 311745740,
         "reference_id": "person-0179-neutral"
       },
       {
@@ -18176,7 +18184,11 @@
         "seed": 1613168530,
         "reference_id": "person-0179-neutral"
       }
-    ]
+    ],
+    "safety_regeneration_attempt": 1,
+    "safety_regeneration_policy_sha256": "a335561ec695d432f5e420a1975b2dc36f1e2f4161d4e199a79d103325feb0d0",
+    "seed_strategy": "safety-per-emotion-attempt",
+    "safety_reference_strategy": "retained-passing-neutral"
   },
   {
     "personality_id": "person-0180",

metadata/persons.csv

@@ -121,7 +121,7 @@ person-0119,person-0119,younger_schoolchild,7,0,female,white_caucasian,white Eur
 person-0120,person-0120,younger_schoolchild,7,0,female,indian,Indian,warm brown,black a loose braid over one shoulder,a natural age-appropriate build,outfit-01,child_school,"a soft lavender cardigan over a white collared shirt, navy school trousers and closed shoes",1535011289,neutral,,,,
 person-0121,person-0121,younger_schoolchild,6,0,female,white_caucasian,white European-ancestry,fair,dark brown a loose braid over one shoulder,a natural age-appropriate build,outfit-01,child_everyday,"a soft lavender cardigan over a cream T-shirt, comfortable brown trousers and closed shoes",2603256236,neutral,1,65246ed8dcbd11a1c2b65bf08063f55701042012b57399521e1a6e70563dc31d,safety-per-emotion-attempt,retained-passing-neutral
 person-0122,person-0122,younger_schoolchild,6,0,female,japanese,Japanese,light tan,black a short practical bob,a natural age-appropriate build,outfit-01,child_school,"a soft lavender cardigan over a white collared shirt, navy school trousers and closed shoes",1918117064,neutral,,,,
-person-0123,person-0123,younger_schoolchild,7,0,female,white_caucasian,white European-ancestry,light warm,black a neatly tied ponytail,a natural age-appropriate build,outfit-01,child_creative,"a cream long-sleeved shirt, brown cotton dungarees and closed canvas shoes",1415924299,neutral,,,,
+person-0123,person-0123,younger_schoolchild,7,0,female,white_caucasian,white European-ancestry,light warm,black a neatly tied ponytail,a natural age-appropriate build,outfit-01,child_creative,"a cream long-sleeved shirt, brown cotton dungarees and closed canvas shoes",1415924299,neutral,1,a335561ec695d432f5e420a1975b2dc36f1e2f4161d4e199a79d103325feb0d0,safety-per-emotion-attempt,retained-passing-neutral
 person-0124,person-0124,younger_schoolchild,8,0,female,southeast_asian,Southeast Asian,warm tan,black a short practical bob,a natural age-appropriate build,outfit-01,child_everyday,"a navy cardigan over a cream T-shirt, comfortable brown trousers and closed shoes",2771953550,neutral,,,,
 person-0125,person-0125,younger_schoolchild,8,0,female,white_caucasian,white European-ancestry,fair,light brown shoulder-length naturally wavy hair,a natural age-appropriate build,outfit-01,child_formal,"a brown buttoned cardigan, cream collared shirt, full-length navy trousers and neat closed shoes",2485833556,neutral,,,,
 person-0126,person-0126,younger_schoolchild,6,0,female,indigenous_american,Indigenous American,light brown,black short naturally curly hair,a natural age-appropriate build,outfit-01,child_school,"a royal blue cardigan over a white collared shirt, navy school trousers and closed shoes",2575160684,neutral,,,,
@@ -134,7 +134,7 @@ person-0132,person-0132,younger_schoolchild,6,0,female,latino,Latino,light tan,c
 person-0133,person-0133,older_schoolchild,10,0,male,white_caucasian,white European-ancestry,fair,auburn short tousled hair,a natural age-appropriate build,outfit-01,child_sporty,"a navy sweatshirt, loose navy joggers and closed sneakers",2844801242,neutral,,,,
 person-0134,person-0134,older_schoolchild,11,0,male,indian,Indian,deep brown,chestnut soft wavy hair swept to one side,a natural age-appropriate build,outfit-01,child_outdoors,"a navy zip jacket, full-length charcoal trousers and sturdy closed shoes",1940274380,neutral,,,,
 person-0135,person-0135,older_schoolchild,9,0,male,white_caucasian,white European-ancestry,fair,dark brown short tousled hair,a natural age-appropriate build,outfit-01,child_sporty,"a burgundy sweatshirt, loose navy joggers and closed sneakers",1576909016,neutral,,,,
-person-0136,person-0136,older_schoolchild,12,0,male,japanese,Japanese,light warm,black neatly cropped straight hair,a natural age-appropriate build,outfit-01,child_creative,"a cream long-sleeved shirt, brown cotton dungarees and closed canvas shoes",2037933152,neutral,,,,
+person-0136,person-0136,older_schoolchild,12,0,male,japanese,Japanese,light warm,black neatly cropped straight hair,a natural age-appropriate build,outfit-01,child_creative,"a cream long-sleeved shirt, brown cotton dungarees and closed canvas shoes",2037933152,neutral,1,a335561ec695d432f5e420a1975b2dc36f1e2f4161d4e199a79d103325feb0d0,safety-per-emotion-attempt,retained-passing-neutral
 person-0137,person-0137,older_schoolchild,11,0,male,white_caucasian,white European-ancestry,light warm,black a tidy side-part hairstyle,a natural age-appropriate build,outfit-01,child_creative,"a burgundy long-sleeved shirt, brown cotton dungarees and closed canvas shoes",712382295,neutral,,,,
 person-0138,person-0138,older_schoolchild,12,0,male,southeast_asian,Southeast Asian,warm tan,chestnut short naturally curly hair,a natural age-appropriate build,outfit-01,child_sporty,"a charcoal sweatshirt, loose navy joggers and closed sneakers",1823454372,neutral,,,,
 person-0139,person-0139,older_schoolchild,11,0,male,white_caucasian,white European-ancestry,light olive,light brown short tousled hair,a natural age-appropriate build,outfit-01,child_everyday,"a soft lavender cardigan over a cream T-shirt, comfortable brown trousers and closed shoes",2590757206,neutral,,,,
@@ -177,7 +177,7 @@ person-0175,person-0175,older_schoolchild,10,0,female,white_caucasian,white Euro
 person-0176,person-0176,older_schoolchild,9,0,female,indian,Indian,deep brown,medium brown a short practical bob,a natural age-appropriate build,outfit-01,child_outdoors,"a plum zip jacket, full-length charcoal trousers and sturdy closed shoes",409605434,neutral,,,,
 person-0177,person-0177,older_schoolchild,10,0,female,white_caucasian,white European-ancestry,fair,light brown short naturally curly hair,a natural age-appropriate build,outfit-01,child_creative,"a cream long-sleeved shirt, brown cotton dungarees and closed canvas shoes",3200188557,neutral,,,,
 person-0178,person-0178,older_schoolchild,9,0,female,japanese,Japanese,light warm,dark brown a cropped textured hairstyle,a natural age-appropriate build,outfit-01,child_outdoors,"a burgundy zip jacket, full-length charcoal trousers and sturdy closed shoes",2271183914,neutral,,,,
-person-0179,person-0179,older_schoolchild,12,0,female,white_caucasian,white European-ancestry,light olive,light brown a loose braid over one shoulder,a natural age-appropriate build,outfit-01,child_creative,"a navy long-sleeved shirt, brown cotton dungarees and closed canvas shoes",1613168530,neutral,,,,
+person-0179,person-0179,older_schoolchild,12,0,female,white_caucasian,white European-ancestry,light olive,light brown a loose braid over one shoulder,a natural age-appropriate build,outfit-01,child_creative,"a navy long-sleeved shirt, brown cotton dungarees and closed canvas shoes",1613168530,neutral,1,a335561ec695d432f5e420a1975b2dc36f1e2f4161d4e199a79d103325feb0d0,safety-per-emotion-attempt,retained-passing-neutral
 person-0180,person-0180,older_schoolchild,9,0,female,southeast_asian,Southeast Asian,light golden brown,black shoulder-length naturally wavy hair,a natural age-appropriate build,outfit-01,child_formal,"a burgundy buttoned cardigan, cream collared shirt, full-length navy trousers and neat closed shoes",1060838270,neutral,,,,
 person-0181,person-0181,younger_teen,15,0,male,white_caucasian,white European-ancestry,fair,dark brown neatly cropped straight hair,a natural age-appropriate build,outfit-01,sporty,"a royal blue sweatshirt, loose navy athletic trousers and closed sneakers",1270936786,neutral,,,,
 person-0182,person-0182,younger_teen,15,0,male,indigenous_american,Indigenous American,warm tan,medium brown soft wavy hair swept to one side,a natural age-appropriate build,outfit-01,crafts,"a plum cotton overshirt over a cream top, navy canvas trousers and closed shoes",2562890028,neutral,,,,

metadata/progress.json

@@ -1,17 +1,16 @@
 {
-  "utc": "2026-10-06T23:37:46.436818+00:00",
+  "utc": "2026-10-06T23:46:00.538433+00:00",
   "people": {
     "done": 500
   },
   "shards": {
-    "ready": 26,
-    "safety_held": 136,
-    "uploaded": 95
+    "ready": 75,
+    "uploaded": 182
   },
   "images_in_closed_shards": 5000,
   "images_generated": 5000,
   "target_people": 500,
   "target_images": 5000,
-  "images_uploaded": 1810,
-  "buffer_free_gb": 290.455707648
+  "images_uploaded": 3510,
+  "buffer_free_gb": 290.316464128
 }

metadata/provenance.json

@@ -23,7 +23,7 @@
   ],
   "reference": "The neutral image of the same generated fictional person, resized with PIL BICUBIC",
   "seed_method": "Original groups use first32 bits of SHA256(vivarium-people-2026-10-06:<personality_id>),big-endian. Safety replacements use the actual per-expression seed in the plan and PNG JSON; seed_strategy=safety-per-emotion-attempt.",
-  "plan_sha256": "6b712c7b708b61bb0f3119ef3955f25ebc459e3c67414aa4272c41f5a4b59eb2",
+  "plan_sha256": "2d65a6f5cba204815636982211af3cea0e99f6a48c0e1d837dd6ab616098e480",
   "software": {
     "torch": "2.7.1+cu126",
     "transformers": "5.18.0",

metadata/quality-review.json

@@ -337,7 +337,6 @@
     "person-0123-annoyed",
     "person-0123-disgust",
     "person-0123-grateful",
-    "person-0123-joyful",
     "person-0123-neutral",
     "person-0123-pain",
     "person-0123-playful",
@@ -373,14 +372,9 @@
     "person-0134-playful",
     "person-0134-sad",
     "person-0136-afraid",
-    "person-0136-angry",
-    "person-0136-annoyed",
     "person-0136-disgust",
-    "person-0136-grateful",
-    "person-0136-joyful",
     "person-0136-neutral",
     "person-0136-pain",
-    "person-0136-playful",
     "person-0136-sad",
     "person-0141-afraid",
     "person-0141-angry",
@@ -1311,7 +1305,10 @@
     "Safety-score regeneration replaced 10 of ten person-0002 images; prior visual review of changed pixels was invalidated. Renewed series style review is pending.",
     "Renewed full ten-expression review of person-0002: closed blue cardigan and full-length trousers, covered seated posture, consistent dark-skinned baby identity, clean green background and retained warm painted style. Subtle natural expressions remain recognizable, with some overlapping negative expressions. All ten actual PNGs passed both classifiers/views.",
     "Safety-score regeneration replaced 10 of ten person-0029 images; prior visual review of changed pixels was invalidated. Renewed series style review is pending.",
-    "Renewed ten-expression reviews of person-0018 and person-0019: coherent fully covering blue and mauve outfits, consistent infant identity/hair/skin, clean green background and warm painted style. Natural mild expressions with occasional overlap among negative moods. All20 exact PNGs passed both models and views."
+    "Renewed ten-expression reviews of person-0018 and person-0019: coherent fully covering blue and mauve outfits, consistent infant identity/hair/skin, clean green background and warm painted style. Natural mild expressions with occasional overlap among negative moods. All20 exact PNGs passed both models and views.",
+    "Safety-score regeneration replaced 1 of ten person-0179 images; prior visual review of changed pixels was invalidated. Renewed series style review is pending.",
+    "Safety-score regeneration replaced 1 of ten person-0123 images; prior visual review of changed pixels was invalidated. Renewed series style review is pending.",
+    "Safety-score regeneration replaced 5 of ten person-0136 images; prior visual review of changed pixels was invalidated. Renewed series style review is pending."
   ],
   "status": "ongoing stratified visual review; accepted production",
   "limitations": [
@@ -1321,67 +1318,67 @@
     "Reference edits can alter skin tone or lighting; explicit preservation wording reduces observed changes but does not guarantee identical pixels.",
     "Painted stylization can make adjacent age groups look similar,especially teens and young adults; age_years is the prompted age rather than a visual ground-truth estimate."
   ],
-  "utc": "2026-10-06T23:32:38.226437+00:00",
+  "utc": "2026-10-06T23:45:49.181513+00:00",
   "coverage": {
     "age_and_gender": {
-      "older_teen/male": 6,
-      "older_schoolchild/female": 7,
-      "older_senior/male": 6,
-      "older_adult/male": 5,
-      "baby/female": 6,
       "young_adult/female": 5,
-      "younger_senior/male": 5,
-      "younger_schoolchild/male": 5,
-      "younger_schoolchild/female": 7,
-      "older_schoolchild/male": 7,
-      "older_adult/female": 5,
       "younger_senior/female": 5,
       "middle_adult/female": 6,
-      "younger_teen/female": 7,
-      "baby/male": 4,
-      "older_senior/female": 6,
       "preschool/female": 6,
-      "middle_adult/male": 4,
+      "younger_schoolchild/male": 5,
+      "baby/female": 6,
+      "younger_schoolchild/female": 7,
       "younger_teen/male": 5,
+      "younger_teen/female": 7,
+      "older_teen/male": 6,
+      "baby/male": 6,
+      "older_schoolchild/male": 7,
+      "younger_senior/male": 5,
+      "older_teen/female": 7,
+      "older_senior/female": 6,
+      "older_adult/female": 5,
       "young_adult/male": 5,
-      "preschool/male": 6,
-      "older_teen/female": 7
+      "middle_adult/male": 4,
+      "older_senior/male": 6,
+      "older_schoolchild/female": 7,
+      "older_adult/male": 5,
+      "preschool/male": 6
     },
     "intended_ethnicity": {
-      "white_caucasian": 60,
-      "arab": 11,
-      "latino": 9,
-      "indigenous_american": 8,
+      "white_caucasian": 61,
+      "african_american": 9,
       "southeast_asian": 9,
+      "arab": 12,
+      "indigenous_american": 8,
       "indian": 11,
       "japanese": 8,
-      "african_american": 9
+      "latino": 9
     },
     "outfit_style": {
-      "sporty": 11,
-      "child_formal": 7,
-      "child_outdoors": 7,
-      "formal": 4,
       "simple_everyday": 5,
-      "baby_layers": 3,
-      "rock_inspired": 11,
-      "workwear": 4,
-      "child_school": 4,
-      "child_sporty": 6,
       "casual_layers": 9,
-      "child_creative": 6,
+      "child_formal": 7,
+      "child_sporty": 6,
+      "child_school": 4,
+      "baby_everyday": 4,
+      "child_everyday": 8,
+      "rock_inspired": 11,
+      "everyday_dress": 6,
       "outdoors": 11,
       "smart_casual": 9,
+      "child_outdoors": 7,
+      "child_creative": 6,
       "formal_skirt": 2,
-      "everyday_dress": 6,
-      "baby_everyday": 4,
-      "child_everyday": 8,
+      "sporty": 11,
+      "formal": 4,
+      "baby_layers": 4,
       "crafts": 5,
-      "baby_sporty": 3
+      "workwear": 4,
+      "baby_sporty": 4
     }
   },
   "people_reviewed": 127,
-  "images_reviewed": 1262,
+  "images_reviewed": 1256,
   "safety_invalidated_pixels": {
     "person-0049": "c0c2314d4ab826299635fc797be2aa6edb3d42a8e0e47958575c02c9b5158cee",
     "person-0001": "13e6fb8f4f052fdab8726400d58b999981c434bad99b17fbbcdb7badc9ef7c0c",
@@ -1410,7 +1407,10 @@
     "person-0026": "effc983ef895824825c9f93a51b4bb98f739c2e0592df35d54e2ac3fe6ffa231",
     "person-0025": "1c5f236820af605c06fde6acceed9c6786d9717459537f90b4978e14b2f5e2d3",
     "person-0002": "527ca11c1964d7b032e16e96ab980595ba48059499ef87738fd956a7d0aa5304",
-    "person-0029": "cf9af62baa9b113979da38fdd77543826eef5016c95d6a3df03f9eda3bc65205"
+    "person-0029": "cf9af62baa9b113979da38fdd77543826eef5016c95d6a3df03f9eda3bc65205",
+    "person-0179": "a38299bd8cf8127731bce3c53055de3b0196d8f466e2e9c88f14a252bc93893f",
+    "person-0123": "3290c6077ebc1c50906ae564488e7b8580181d09512c94265551cbc786af1682",
+    "person-0136": "47bf0530b1cac029176525676210115c296ce99e66e22ac6e17ecfe5a0500980"
   },
   "reviewed_image_sha256": {
     "person-0001-neutral": "d79fdd3a189e2f634cbb9321d0aefea99c660c7cecf88d6a2a9fa8d2a06806a7",

metadata/sample-index-validation.json

@@ -1,6 +1,6 @@
 {
   "status": "passed",
-  "utc": "2026-10-06T23:36:45.303141+00:00",
+  "utc": "2026-10-06T23:46:00.514423+00:00",
   "indexed_images": 5000,
   "shard_sha256": {
     "pilot-person-0002.tar": "527ca11c1964d7b032e16e96ab980595ba48059499ef87738fd956a7d0aa5304",
@@ -56,7 +56,7 @@
     "train-g1-00015.tar": "3a37c24d2bbaf8981fd2b88d950e10450cd68efc406adeadde481b30bfce019e",
     "train-g1-00016.tar": "979227c535a2f7fafbd4e2281ca5ca927866282352ec518807e40274c88da1ad",
     "train-g1-00017.tar": "0b47d49f9a05fe2bf059107435d22217ed6472910b945e2569156bd9cbee3374",
-    "train-g1-00018.tar": "4f10aaf350559dc210825b096cd3d83ce31c883f1ff15ba0530b9c002084b3b2",
+    "train-g1-00018.tar": "3290c6077ebc1c50906ae564488e7b8580181d09512c94265551cbc786af1682",
     "train-g1-00019.tar": "741e48d4c232fe678d19d65a555b9bd4bd70c3d627d4bd4dd283598543ce8ac6",
     "train-g1-00020.tar": "b0c61f19eb0b2aa91e13e63c97ada359108e3872edecd5e9813bdaad15030a5e",
     "train-g1-00021.tar": "ab4e1ea7f7ec5071838cd5c5a462badd50d723821dd525e6f1b2e32d7de58622",
@@ -172,7 +172,7 @@
     "train-g5-00002.tar": "679d71af0c48b5e055697250295f3d090628cc3b21614e2c23713c358bf24a64",
     "train-g5-00003.tar": "38a33abe49ded6b84f0d5357e15b46aada21b3d2b2c77f8f2051e07c59b67d3e",
     "train-g5-00004.tar": "79915528d50dc23124e8a47fc1fb9e5e4548be5d30db858e5dbffd2339382219",
-    "train-g5-00005.tar": "5d775c9c10058c1232bf5afc09a861b765263c87ea3adc7a9f113115a5f596da",
+    "train-g5-00005.tar": "47bf0530b1cac029176525676210115c296ce99e66e22ac6e17ecfe5a0500980",
     "train-g5-00006.tar": "627c2858b50f1ff8e35ed2f86effacbe0af9e988549fca801ea205825d355e4f",
     "train-g5-00007.tar": "5661e1ad389a85ff1debdbf75eec7b4d08409ce91f2af900236a0282383155a2",
     "train-g5-00008.tar": "9868e1e6911d8067fe6c2cf5a2a7c7819b86cd297d766d4f53ecdf81188d0f9e",
@@ -198,7 +198,7 @@
     "train-g5-00028.tar": "609d407903c9c5180e31e4325b5fa5d37a4a3b8a2a38f8b8aa6b76423cba3cc3",
     "train-g5-00029.tar": "6feb29b4ebaaabc9e59b4f1a77bb86838b0307c6158a0e5e014e6ea5b7418746",
     "train-g5-00030.tar": "ff6baecf11bd9471324904c72b5a2b55f748c81a4ee3ff9088966232ab651f1a",
-    "train-g5-00031.tar": "9acee0df4885502b67b4e922e9b45e7f51529e3ac5a94022684ac2b3469ab8d3",
+    "train-g5-00031.tar": "a38299bd8cf8127731bce3c53055de3b0196d8f466e2e9c88f14a252bc93893f",
     "train-g6-00000.tar": "13e6fb8f4f052fdab8726400d58b999981c434bad99b17fbbcdb7badc9ef7c0c",
     "train-g6-00001.tar": "82262c79c158beef13f289f72549eed39b266a4be9d43578cd7e3e4faac6d7a1",
     "train-g6-00002.tar": "402d85ed051c4bcb30411a99289da5afeb450dd7e8662cf018ca619cc3af0771",

metadata/sample-index.json

@@ -11126,10 +11126,10 @@
     "emotion": "joyful",
     "shard": "train-g1-00018.tar",
     "repo_path": "data/train-g1-00018.tar",
-    "image_offset": 12636160,
-    "image_bytes": 1118977,
-    "image_sha256": "8754700327bd8d6ffa249a477f5a5cc0bd5a3f6c709553c39acfd4e97f4e56b6",
-    "seed": 1415924299
+    "image_offset": 12637696,
+    "image_bytes": 1103197,
+    "image_sha256": "a7b18ae3dc6f7b01b3853f0fee8e0b6395e914b13129090261bd79bc2c24fec9",
+    "seed": 2379534088
   },
   {
     "id": "person-0123-grateful",
@@ -11137,7 +11137,7 @@
     "emotion": "grateful",
     "shard": "train-g1-00018.tar",
     "repo_path": "data/train-g1-00018.tar",
-    "image_offset": 13762048,
+    "image_offset": 13749248,
     "image_bytes": 1110391,
     "image_sha256": "2b241077996491a4a752d0e6a8031ac225d8cc160aab78546ae82068485dc5af",
     "seed": 1415924299
@@ -11148,7 +11148,7 @@
     "emotion": "playful",
     "shard": "train-g1-00018.tar",
     "repo_path": "data/train-g1-00018.tar",
-    "image_offset": 14879232,
+    "image_offset": 14867968,
     "image_bytes": 1105825,
     "image_sha256": "77ce4b41acd4cd02f55c44172b642b27d759dca238323eaf401a1123547fbca4",
     "seed": 1415924299
@@ -11159,7 +11159,7 @@
     "emotion": "angry",
     "shard": "train-g1-00018.tar",
     "repo_path": "data/train-g1-00018.tar",
-    "image_offset": 15991808,
+    "image_offset": 15982080,
     "image_bytes": 1113007,
     "image_sha256": "74aad080200320fba2085a151f6b820a8e92b14a1b566b38511432880bcba1e1",
     "seed": 1415924299
@@ -11170,7 +11170,7 @@
     "emotion": "afraid",
     "shard": "train-g1-00018.tar",
     "repo_path": "data/train-g1-00018.tar",
-    "image_offset": 17111552,
+    "image_offset": 17103360,
     "image_bytes": 1108127,
     "image_sha256": "df8bee222bbecc4016d76f3058e35c192743cfee4514feae66960d3cdcddeae5",
     "seed": 1415924299
@@ -11181,7 +11181,7 @@
     "emotion": "sad",
     "shard": "train-g1-00018.tar",
     "repo_path": "data/train-g1-00018.tar",
-    "image_offset": 18226688,
+    "image_offset": 18220032,
     "image_bytes": 1103721,
     "image_sha256": "0247e44cd6a33c779f07dc686fbeafd312e1c8420782a346762063066e1bc1d1",
     "seed": 1415924299
@@ -11192,7 +11192,7 @@
     "emotion": "annoyed",
     "shard": "train-g1-00018.tar",
     "repo_path": "data/train-g1-00018.tar",
-    "image_offset": 19337216,
+    "image_offset": 19332096,
     "image_bytes": 1101993,
     "image_sha256": "51667cf7c8070cfdd6f701cfdb7e0c0ba17d9ef008a9f94d19afc2ee8f9b0704",
     "seed": 1415924299
@@ -11203,7 +11203,7 @@
     "emotion": "pain",
     "shard": "train-g1-00018.tar",
     "repo_path": "data/train-g1-00018.tar",
-    "image_offset": 20446208,
+    "image_offset": 20442624,
     "image_bytes": 1107437,
     "image_sha256": "de92b68416a1d7f8b1268f29ca8b3fbd02abc1286bfef3cb1d45fe856b1320e1",
     "seed": 1415924299
@@ -11214,7 +11214,7 @@
     "emotion": "disgust",
     "shard": "train-g1-00018.tar",
     "repo_path": "data/train-g1-00018.tar",
-    "image_offset": 21560320,
+    "image_offset": 21558272,
     "image_bytes": 1109143,
     "image_sha256": "b6e4d3752f56c7bd5ec2009f79496982386bcd6083a07bf807b71fa81b3e18e4",
     "seed": 1415924299
@@ -35876,10 +35876,10 @@
     "emotion": "joyful",
     "shard": "train-g5-00005.tar",
     "repo_path": "data/train-g5-00005.tar",
-    "image_offset": 1054208,
-    "image_bytes": 1052864,
-    "image_sha256": "756273d7397fffb7d99c4e5d0c138a437c0e9d345d0630552391cd777913b3d3",
-    "seed": 2037933152
+    "image_offset": 1055744,
+    "image_bytes": 1068152,
+    "image_sha256": "b7bbd895a20baa327ce41d675c0dc836213a463e70394ed93c72e22fef624794",
+    "seed": 1029979406
   },
   {
     "id": "person-0136-grateful",
@@ -35887,10 +35887,10 @@
     "emotion": "grateful",
     "shard": "train-g5-00005.tar",
     "repo_path": "data/train-g5-00005.tar",
-    "image_offset": 2114048,
-    "image_bytes": 1047463,
-    "image_sha256": "90551d738cc3a2c3a9290df647c821567c016e256f8edceed3b7cafa6b5af72a",
-    "seed": 2037933152
+    "image_offset": 2132480,
+    "image_bytes": 1076898,
+    "image_sha256": "93996a8ea67f02b37660831032caa9dd33b2717e209c97a7484faf9bb4f564a8",
+    "seed": 975896873
   },
   {
     "id": "person-0136-playful",
@@ -35898,10 +35898,10 @@
     "emotion": "playful",
     "shard": "train-g5-00005.tar",
     "repo_path": "data/train-g5-00005.tar",
-    "image_offset": 3168256,
-    "image_bytes": 1051484,
-    "image_sha256": "d5591c7fd27e97eb341597641f674b1ee45d1b276aac9217615ea900e4342999",
-    "seed": 2037933152
+    "image_offset": 3217920,
+    "image_bytes": 1047427,
+    "image_sha256": "1d75e054d8ca7dd410ad2a8cf373167ab70caa822f02f899eb79e60d1e8ce9a7",
+    "seed": 2107917176
   },
   {
     "id": "person-0136-angry",
@@ -35909,10 +35909,10 @@
     "emotion": "angry",
     "shard": "train-g5-00005.tar",
     "repo_path": "data/train-g5-00005.tar",
-    "image_offset": 4226560,
-    "image_bytes": 1051368,
-    "image_sha256": "5805b5c03198bbe0e52c11ecb8bc4863df82c3abf44ebf153b42cbaeaba3e134",
-    "seed": 2037933152
+    "image_offset": 4273664,
+    "image_bytes": 1077442,
+    "image_sha256": "5dcfba676a4bf79be041287cef9961818ebf605d55a575ea46f785427e8b22c3",
+    "seed": 3748761920
   },
   {
     "id": "person-0136-afraid",
@@ -35920,7 +35920,7 @@
     "emotion": "afraid",
     "shard": "train-g5-00005.tar",
     "repo_path": "data/train-g5-00005.tar",
-    "image_offset": 5284864,
+    "image_offset": 5359616,
     "image_bytes": 1047777,
     "image_sha256": "d5f55b690c82f6e5f986d034a33aba0c81e0926beb9e6c84eff50944a7f05b1d",
     "seed": 2037933152
@@ -35931,7 +35931,7 @@
     "emotion": "sad",
     "shard": "train-g5-00005.tar",
     "repo_path": "data/train-g5-00005.tar",
-    "image_offset": 6339584,
+    "image_offset": 6415872,
     "image_bytes": 1051837,
     "image_sha256": "f62ed2cbbda65ef012c8309d2a0d0fc3b787277deb2731c818d0bce6b56692e9",
     "seed": 2037933152
@@ -35942,10 +35942,10 @@
     "emotion": "annoyed",
     "shard": "train-g5-00005.tar",
     "repo_path": "data/train-g5-00005.tar",
-    "image_offset": 7398400,
-    "image_bytes": 1052153,
-    "image_sha256": "6bdd49725594993a4097677cab5e6011333808d95f5eee6aecffd773b854b6ed",
-    "seed": 2037933152
+    "image_offset": 7476224,
+    "image_bytes": 1065665,
+    "image_sha256": "9971de1841307447580ba70d8e83982bc1f43c508c1b23bf426c05346b495c0b",
+    "seed": 2025467385
   },
   {
     "id": "person-0136-pain",
@@ -35953,7 +35953,7 @@
     "emotion": "pain",
     "shard": "train-g5-00005.tar",
     "repo_path": "data/train-g5-00005.tar",
-    "image_offset": 8457216,
+    "image_offset": 8550400,
     "image_bytes": 1039088,
     "image_sha256": "2f5e80f3e6ea8ee52808ab281501527357bf0dd1e3225380142a4781dc012647",
     "seed": 2037933152
@@ -35964,7 +35964,7 @@
     "emotion": "disgust",
     "shard": "train-g5-00005.tar",
     "repo_path": "data/train-g5-00005.tar",
-    "image_offset": 9503232,
+    "image_offset": 9597952,
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     "image_sha256": "df7c1090d7bd11fde9c989d11418b927116ef4d1d725abb25102e46d28602ff2",
     "seed": 2037933152
@@ -35975,7 +35975,7 @@
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tools/minor_safety_gate.py

@@ -16,6 +16,8 @@ def approved_shard(source_connection,name):
     if any('safety_regeneration_attempt' in json.loads(r['metadata']) for r in rows) and not (STATE/'repair-quality-gate-passed.json').exists():return False
     if not (STATE/'scores.sqlite').exists():return False
     policy=json.loads((STATE/'policy.json').read_text())['policy_sha256']
+    if any(json.loads(r['metadata']).get('safety_regeneration_policy_sha256')==policy for r in rows):
+        if not (STATE/f'repair-quality-gate-{policy}.json').exists():return False
     c=sqlite3.connect(STATE/'scores.sqlite')
     try:
         for ident,digest in selected: