Add object-layout CTT proxy diagnostics and rollout jobs
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- cil/chart_features.py +116 -0
- data/cil_charts_rgb_refs/test/charts_00000.npz +3 -0
- data/cil_charts_rgb_refs/test/index.json +911 -0
- data/cil_charts_rgb_refs/test/object_embeddings_rgb_layout.npz +3 -0
- data/cil_charts_rgb_refs/train/charts_00000.npz +3 -0
- data/cil_charts_rgb_refs/train/index.json +0 -0
- data/cil_charts_rgb_refs/train/object_embeddings_rgb_layout.npz +3 -0
- data/cil_charts_rgb_refs/val/charts_00000.npz +3 -0
- data/cil_charts_rgb_refs/val/index.json +929 -0
- data/cil_charts_rgb_refs/val/object_embeddings_rgb_layout.npz +3 -0
- latex/main.pdf +2 -2
- latex/main.tex +9 -7
- outputs/hpc/logs/ctt_feature_proxy_15116833_0.err +0 -0
- outputs/hpc/logs/ctt_feature_proxy_15116833_0.out +17 -0
- outputs/hpc/logs/ctt_feature_proxy_15116833_1.err +0 -0
- outputs/hpc/logs/ctt_feature_proxy_15116833_1.out +17 -0
- outputs/hpc/logs/ctt_feature_proxy_15116833_2.err +0 -0
- outputs/hpc/logs/ctt_feature_proxy_15116833_2.out +17 -0
- outputs/hpc/logs/ctt_feature_proxy_15116834_0.err +0 -0
- outputs/hpc/logs/ctt_feature_proxy_15116834_0.out +17 -0
- outputs/hpc/logs/ctt_feature_proxy_15116834_1.err +0 -0
- outputs/hpc/logs/ctt_feature_proxy_15116834_1.out +17 -0
- outputs/hpc/logs/ctt_feature_proxy_15116834_2.err +0 -0
- outputs/hpc/logs/ctt_feature_proxy_15116834_2.out +17 -0
- reports/2026-07-03.md +45 -6
- reports/draft_audit_ctt.md +20 -0
- runs/chart_feature_audit_rgb_refs_object/command.txt +1 -0
- runs/chart_feature_audit_rgb_refs_object/config.yaml +2 -0
- runs/chart_feature_audit_rgb_refs_object/data_hash.txt +14 -0
- runs/chart_feature_audit_rgb_refs_object/eval.log +1 -0
- runs/chart_feature_audit_rgb_refs_object/git_hash.txt +1 -0
- runs/chart_feature_audit_rgb_refs_object/metrics.json +261 -0
- runs/chart_feature_audit_rgb_refs_object/metrics_by_seed.json +1 -0
- runs/chart_feature_audit_rgb_refs_object/metrics_by_task.json +27 -0
- runs/chart_feature_audit_rgb_refs_object/report.md +9 -0
- runs/chart_feature_audit_rgb_refs_object/split_hash.txt +14 -0
- runs/chart_feature_audit_rgb_refs_object/table.tex +10 -0
- runs/chart_feature_audit_rgb_refs_object/train.log +1 -0
- runs/chart_object_embeddings_rgb_refs/command.txt +1 -0
- runs/chart_object_embeddings_rgb_refs/config.yaml +3 -0
- runs/chart_object_embeddings_rgb_refs/data_hash.txt +14 -0
- runs/chart_object_embeddings_rgb_refs/eval.log +1 -0
- runs/chart_object_embeddings_rgb_refs/git_hash.txt +1 -0
- runs/chart_object_embeddings_rgb_refs/metrics.json +85 -0
- runs/chart_object_embeddings_rgb_refs/metrics_by_seed.json +1 -0
- runs/chart_object_embeddings_rgb_refs/metrics_by_task.json +27 -0
- runs/chart_object_embeddings_rgb_refs/report.md +9 -0
- runs/chart_object_embeddings_rgb_refs/split_hash.txt +14 -0
- runs/chart_object_embeddings_rgb_refs/table.tex +10 -0
- runs/chart_object_embeddings_rgb_refs/train.log +1 -0
cil/chart_features.py
ADDED
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from __future__ import annotations
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import hashlib
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from pathlib import Path
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from typing import Any
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try:
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import numpy as np
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except ImportError: # pragma: no cover
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np = None
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CONTEXT_HASH_WIDTH = 8
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OBSERVATION_EMBED_DIM = 32
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OBJECT_LAYOUT_EMBED_DIM = 64
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| 16 |
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CHART_FEATURE_MODES = (
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"base",
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"base_context",
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"base_context_obs",
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"base_context_obj",
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"base_context_obs_obj",
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)
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_EMBEDDING_CACHE: dict[str, Any] = {}
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def build_chart_feature(
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base_action: Any,
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metadata: dict[str, Any] | None = None,
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*,
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mode: str = "base",
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) -> Any:
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"""Build a deployment-visible chart feature vector.
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`base` preserves the original behavior: the chart token is the flattened
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base action chunk. `base_context` appends stable hashes of task/language
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metadata that are visible at proposal time. `base_context_obs` additionally
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appends a precomputed observation embedding referenced by metadata.
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`base_context_obj` appends a precomputed RGB object-layout embedding, and
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`base_context_obs_obj` appends both. These modes intentionally do not read
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outcomes, labels, hidden chart branches, or evaluator-only fields.
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"""
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if np is None: # pragma: no cover
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raise ImportError("build_chart_feature requires numpy")
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if mode not in CHART_FEATURE_MODES:
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raise ValueError(f"unknown chart feature mode: {mode}")
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base = np.asarray(base_action, dtype=np.float32).reshape(-1)
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if mode == "base":
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return base
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metadata = metadata or {}
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context = np.asarray(
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[
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*_stable_hash_features(str(metadata.get("task_id", "")), CONTEXT_HASH_WIDTH),
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*_stable_hash_features(str(metadata.get("instruction", "")).lower(), CONTEXT_HASH_WIDTH),
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min(len(str(metadata.get("instruction", ""))) / 128.0, 4.0),
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min(len(str(metadata.get("instruction", "")).split()) / 32.0, 4.0),
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],
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dtype=np.float32,
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)
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if mode in {"base_context_obs", "base_context_obs_obj"}:
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obs = _load_embedding(
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metadata.get("observation_embedding_path"),
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dim=OBSERVATION_EMBED_DIM,
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chart_root=metadata.get("_chart_root"),
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)
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context = np.concatenate([context, obs.astype(np.float32, copy=False)])
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if mode in {"base_context_obj", "base_context_obs_obj"}:
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obj = _load_embedding(
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metadata.get("object_embedding_path"),
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| 70 |
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dim=OBJECT_LAYOUT_EMBED_DIM,
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chart_root=metadata.get("_chart_root"),
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)
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context = np.concatenate([context, obj.astype(np.float32, copy=False)])
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return np.concatenate([base, context]).astype(np.float32, copy=False)
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def chart_feature_dim(base_action: Any, *, mode: str = "base") -> int:
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return int(build_chart_feature(base_action, {}, mode=mode).reshape(-1).shape[0])
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def _stable_hash_features(text: str, width: int) -> list[float]:
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digest = hashlib.sha256(text.encode("utf-8")).digest()
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return [float(digest[index] / 127.5 - 1.0) for index in range(width)]
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def _load_embedding(value: Any, *, dim: int, chart_root: Any = None) -> Any:
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if np is None: # pragma: no cover
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raise ImportError("build_chart_feature requires numpy")
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if not value:
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return np.zeros(dim, dtype=np.float32)
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path_text, dataset, row_index = _parse_embedding_ref(str(value))
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path = Path(path_text)
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| 93 |
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if not path.is_absolute() and chart_root:
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path = Path(str(chart_root)) / path
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| 95 |
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cache_key = str(path.resolve())
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| 96 |
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if cache_key not in _EMBEDDING_CACHE:
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| 97 |
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with np.load(path, allow_pickle=False) as data:
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| 98 |
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_EMBEDDING_CACHE[cache_key] = np.asarray(data[dataset], dtype=np.float32)
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| 99 |
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matrix = _EMBEDDING_CACHE[cache_key]
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| 100 |
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vector = np.asarray(matrix[int(row_index)], dtype=np.float32).reshape(-1)
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| 101 |
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if vector.shape[0] == dim:
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| 102 |
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return vector
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| 103 |
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output = np.zeros(dim, dtype=np.float32)
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| 104 |
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width = min(dim, vector.shape[0])
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| 105 |
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output[:width] = vector[:width]
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| 106 |
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return output
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| 107 |
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| 108 |
+
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| 109 |
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def _parse_embedding_ref(value: str) -> tuple[str, str, int]:
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| 110 |
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if "#" not in value:
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| 111 |
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return value, "embeddings", 0
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| 112 |
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path_text, ref = value.split("#", 1)
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| 113 |
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parts = [part for part in ref.split("/") if part]
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| 114 |
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if len(parts) != 2:
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| 115 |
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raise ValueError(f"invalid observation embedding ref: {value}")
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| 116 |
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return path_text, parts[0], int(parts[1])
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data/cil_charts_rgb_refs/test/charts_00000.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:42b54c3fe5a42b22a225fc233171d098875d16595a7754b59a2c4efeb49f8ca1
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size 6260862
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data/cil_charts_rgb_refs/test/index.json
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|
| 1 |
+
{
|
| 2 |
+
"audience": "evaluator_only",
|
| 3 |
+
"base_candidate_types": [
|
| 4 |
+
"policy",
|
| 5 |
+
"policy_residual",
|
| 6 |
+
"anchor",
|
| 7 |
+
"base",
|
| 8 |
+
"expert"
|
| 9 |
+
],
|
| 10 |
+
"candidate_type_counts": {
|
| 11 |
+
"expert": 410,
|
| 12 |
+
"near_miss": 820,
|
| 13 |
+
"no_op": 410,
|
| 14 |
+
"random_negative": 4100,
|
| 15 |
+
"wrong_direction": 410,
|
| 16 |
+
"wrong_gripper": 410
|
| 17 |
+
},
|
| 18 |
+
"content_hash": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
|
| 19 |
+
"dataset": "/scratch/knguy52/dovla/experiments/six_task_h16_collection",
|
| 20 |
+
"deployment_candidate_excludes_expert": true,
|
| 21 |
+
"deployment_clean": false,
|
| 22 |
+
"embedding_content_hash": "981d3b1b0aa9dc962e5a22fd695fa9befd21e1334f23b8c3843591e8be89ef83",
|
| 23 |
+
"epsilon": 0.05,
|
| 24 |
+
"format": "cil_charts_npz",
|
| 25 |
+
"group_hashes": [
|
| 26 |
+
"0007bdeb2cd982d3d00c7e6ff04b6a464135679254e223a5a10392734b8bc6d8",
|
| 27 |
+
"001c01ea87ba60e3ec7040ae6af17bfe4fef64fbf40ad906fe9258c9f85c5670",
|
| 28 |
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"006cfb2673b00a6eb8b01af6cb8db204644de9fe5e9bf901e615fa9681cf67bd",
|
| 29 |
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"00d1fad89bb7e1cc01e432e0a8c1dc39edc7045d2d25ba7c52256142f9bc65ce",
|
| 30 |
+
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|
| 31 |
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|
| 32 |
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| 33 |
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|
| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 47 |
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| 48 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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| 53 |
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| 55 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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|
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|
| 910 |
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|
data/cil_charts_rgb_refs/test/object_embeddings_rgb_layout.npz
ADDED
|
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data/cil_charts_rgb_refs/train/charts_00000.npz
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data/cil_charts_rgb_refs/train/index.json
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data/cil_charts_rgb_refs/train/object_embeddings_rgb_layout.npz
ADDED
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data/cil_charts_rgb_refs/val/charts_00000.npz
ADDED
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size 6400677
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data/cil_charts_rgb_refs/val/index.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"audience": "evaluator_only",
|
| 3 |
+
"base_candidate_types": [
|
| 4 |
+
"policy",
|
| 5 |
+
"policy_residual",
|
| 6 |
+
"anchor",
|
| 7 |
+
"base",
|
| 8 |
+
"expert"
|
| 9 |
+
],
|
| 10 |
+
"candidate_type_counts": {
|
| 11 |
+
"expert": 419,
|
| 12 |
+
"near_miss": 838,
|
| 13 |
+
"no_op": 419,
|
| 14 |
+
"random_negative": 4190,
|
| 15 |
+
"wrong_direction": 419,
|
| 16 |
+
"wrong_gripper": 419
|
| 17 |
+
},
|
| 18 |
+
"content_hash": "1aacf9de98648fa36bef14e137eb43c7c6973170804650814dae41d09842c708",
|
| 19 |
+
"dataset": "/scratch/knguy52/dovla/experiments/six_task_h16_collection",
|
| 20 |
+
"deployment_candidate_excludes_expert": true,
|
| 21 |
+
"deployment_clean": false,
|
| 22 |
+
"embedding_content_hash": "e4374b56912fdb6814eb0320518733d1602a90e0dd2f9268f65c8a148751f963",
|
| 23 |
+
"epsilon": 0.05,
|
| 24 |
+
"format": "cil_charts_npz",
|
| 25 |
+
"group_hashes": [
|
| 26 |
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"008d30588ad015db473bad0a71c13039cb1d7725fd6345f85f61b4f135a5914f",
|
| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 921 |
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|
| 923 |
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| 924 |
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|
| 925 |
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|
| 927 |
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|
| 928 |
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|
| 929 |
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}
|
data/cil_charts_rgb_refs/val/object_embeddings_rgb_layout.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:411ee7d4c96458879f14fc9460c0e10d5309d83aacd5552c6bcbe089e81838bc
|
| 3 |
+
size 63579
|
latex/main.pdf
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 349512
|
latex/main.tex
CHANGED
|
@@ -396,11 +396,12 @@ RGB-reference export, \texttt{data/cil\_charts\_rgb\_refs}, passes leakage audit
|
|
| 396 |
and exposes 32D deterministic RGB-stat observation embeddings in every split.
|
| 397 |
Across three seeds, the corresponding \texttt{base\_context\_obs} row reaches
|
| 398 |
24.64\% \pptc{}@0.20, 64.25\% \pptc{}@0.40, 3.43\% NegativeNear@0.20, and mean
|
| 399 |
-
positive distance 0.4347.
|
| 400 |
-
|
| 401 |
-
|
| 402 |
-
|
| 403 |
-
|
|
|
|
| 404 |
|
| 405 |
\subsection{Measured Rollout Harness}
|
| 406 |
|
|
@@ -651,8 +652,9 @@ The current draft is backed by explicit artifacts:
|
|
| 651 |
\item \texttt{scripts/slurm/render\_six\_task\_chart\_observations.sbatch}
|
| 652 |
and \texttt{scripts/slurm/reexport\_rgb\_ref\_cil\_charts.sbatch} produce the
|
| 653 |
non-destructive RGB-reference chart export used for visual-stat diagnostics.
|
| 654 |
-
\item \texttt{scripts/export\_chart\_observation\_embeddings.py}
|
| 655 |
-
|
|
|
|
| 656 |
\texttt{scripts/slurm/train\_ctt\_feature\_proxy.sbatch} runs feature-mode
|
| 657 |
CTT proxy sweeps such as \texttt{base\_context\_obs}.
|
| 658 |
\item \texttt{scripts/eval\_ctt\_generated\_rollout.py} and
|
|
|
|
| 396 |
and exposes 32D deterministic RGB-stat observation embeddings in every split.
|
| 397 |
Across three seeds, the corresponding \texttt{base\_context\_obs} row reaches
|
| 398 |
24.64\% \pptc{}@0.20, 64.25\% \pptc{}@0.40, 3.43\% NegativeNear@0.20, and mean
|
| 399 |
+
positive distance 0.4347. A deterministic 64D RGB object-layout token is also
|
| 400 |
+
logged in Table~\ref{tab:ctt-val-proxy}; the object-layout-only row slightly
|
| 401 |
+
improves mean positive distance to 0.4340 while keeping NegativeNear@0.20
|
| 402 |
+
inside the safety slack, but it does not improve \pptc{} over the RGB-stat row.
|
| 403 |
+
We therefore treat these as rollout-eligible representation diagnostics, not as
|
| 404 |
+
visual-language or measured outcome claims.
|
| 405 |
|
| 406 |
\subsection{Measured Rollout Harness}
|
| 407 |
|
|
|
|
| 652 |
\item \texttt{scripts/slurm/render\_six\_task\_chart\_observations.sbatch}
|
| 653 |
and \texttt{scripts/slurm/reexport\_rgb\_ref\_cil\_charts.sbatch} produce the
|
| 654 |
non-destructive RGB-reference chart export used for visual-stat diagnostics.
|
| 655 |
+
\item \texttt{scripts/export\_chart\_observation\_embeddings.py} and
|
| 656 |
+
\texttt{scripts/export\_chart\_object\_embeddings.py} create deterministic
|
| 657 |
+
32D RGB-stat and 64D RGB object-layout embeddings, and
|
| 658 |
\texttt{scripts/slurm/train\_ctt\_feature\_proxy.sbatch} runs feature-mode
|
| 659 |
CTT proxy sweeps such as \texttt{base\_context\_obs}.
|
| 660 |
\item \texttt{scripts/eval\_ctt\_generated\_rollout.py} and
|
outputs/hpc/logs/ctt_feature_proxy_15116833_0.err
ADDED
|
File without changes
|
outputs/hpc/logs/ctt_feature_proxy_15116833_0.out
ADDED
|
@@ -0,0 +1,17 @@
|
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|
|
|
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|
|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
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|
|
| 1 |
+
{
|
| 2 |
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"out_dir": "runs/ctt_residual_base_context_obs_obj_seed0",
|
| 3 |
+
"final_mean_loss": 2.2651531622927648
|
| 4 |
+
}
|
| 5 |
+
{
|
| 6 |
+
"out_dir": "runs/ctt_residual_base_context_obs_obj_seed0_val_proxy",
|
| 7 |
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"num_rows": 69
|
| 8 |
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|
| 9 |
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{
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| 10 |
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"out_dir": "runs/ctt_val_proxy_comparison",
|
| 11 |
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"rows": 7
|
| 12 |
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}
|
| 13 |
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{
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| 14 |
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"csv": "runs/summary_ctt.csv",
|
| 15 |
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"md": "runs/summary_ctt.md",
|
| 16 |
+
"rows": 90
|
| 17 |
+
}
|
outputs/hpc/logs/ctt_feature_proxy_15116833_1.err
ADDED
|
File without changes
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outputs/hpc/logs/ctt_feature_proxy_15116833_1.out
ADDED
|
@@ -0,0 +1,17 @@
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|
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|
|
|
|
|
| 1 |
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{
|
| 2 |
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"out_dir": "runs/ctt_residual_base_context_obs_obj_seed1",
|
| 3 |
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"final_mean_loss": 2.19127557543029
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| 4 |
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}
|
| 5 |
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{
|
| 6 |
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"out_dir": "runs/ctt_residual_base_context_obs_obj_seed1_val_proxy",
|
| 7 |
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"num_rows": 69
|
| 8 |
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}
|
| 9 |
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{
|
| 10 |
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"out_dir": "runs/ctt_val_proxy_comparison",
|
| 11 |
+
"rows": 7
|
| 12 |
+
}
|
| 13 |
+
{
|
| 14 |
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"csv": "runs/summary_ctt.csv",
|
| 15 |
+
"md": "runs/summary_ctt.md",
|
| 16 |
+
"rows": 90
|
| 17 |
+
}
|
outputs/hpc/logs/ctt_feature_proxy_15116833_2.err
ADDED
|
File without changes
|
outputs/hpc/logs/ctt_feature_proxy_15116833_2.out
ADDED
|
@@ -0,0 +1,17 @@
|
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|
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|
|
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"out_dir": "runs/ctt_residual_base_context_obs_obj_seed2",
|
| 3 |
+
"final_mean_loss": 2.199010982552537
|
| 4 |
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}
|
| 5 |
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{
|
| 6 |
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"out_dir": "runs/ctt_residual_base_context_obs_obj_seed2_val_proxy",
|
| 7 |
+
"num_rows": 69
|
| 8 |
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}
|
| 9 |
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{
|
| 10 |
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"out_dir": "runs/ctt_val_proxy_comparison",
|
| 11 |
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"rows": 8
|
| 12 |
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}
|
| 13 |
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{
|
| 14 |
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"csv": "runs/summary_ctt.csv",
|
| 15 |
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"md": "runs/summary_ctt.md",
|
| 16 |
+
"rows": 95
|
| 17 |
+
}
|
outputs/hpc/logs/ctt_feature_proxy_15116834_0.err
ADDED
|
File without changes
|
outputs/hpc/logs/ctt_feature_proxy_15116834_0.out
ADDED
|
@@ -0,0 +1,17 @@
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|
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| 1 |
+
{
|
| 2 |
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"out_dir": "runs/ctt_residual_base_context_obj_seed0",
|
| 3 |
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"final_mean_loss": 2.166102466591173
|
| 4 |
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}
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| 5 |
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{
|
| 6 |
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"out_dir": "runs/ctt_residual_base_context_obj_seed0_val_proxy",
|
| 7 |
+
"num_rows": 69
|
| 8 |
+
}
|
| 9 |
+
{
|
| 10 |
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"out_dir": "runs/ctt_val_proxy_comparison",
|
| 11 |
+
"rows": 8
|
| 12 |
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}
|
| 13 |
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{
|
| 14 |
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"csv": "runs/summary_ctt.csv",
|
| 15 |
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"md": "runs/summary_ctt.md",
|
| 16 |
+
"rows": 95
|
| 17 |
+
}
|
outputs/hpc/logs/ctt_feature_proxy_15116834_1.err
ADDED
|
File without changes
|
outputs/hpc/logs/ctt_feature_proxy_15116834_1.out
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"out_dir": "runs/ctt_residual_base_context_obj_seed1",
|
| 3 |
+
"final_mean_loss": 2.211243413537246
|
| 4 |
+
}
|
| 5 |
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{
|
| 6 |
+
"out_dir": "runs/ctt_residual_base_context_obj_seed1_val_proxy",
|
| 7 |
+
"num_rows": 69
|
| 8 |
+
}
|
| 9 |
+
{
|
| 10 |
+
"out_dir": "runs/ctt_val_proxy_comparison",
|
| 11 |
+
"rows": 8
|
| 12 |
+
}
|
| 13 |
+
{
|
| 14 |
+
"csv": "runs/summary_ctt.csv",
|
| 15 |
+
"md": "runs/summary_ctt.md",
|
| 16 |
+
"rows": 95
|
| 17 |
+
}
|
outputs/hpc/logs/ctt_feature_proxy_15116834_2.err
ADDED
|
File without changes
|
outputs/hpc/logs/ctt_feature_proxy_15116834_2.out
ADDED
|
@@ -0,0 +1,17 @@
|
|
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|
|
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|
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|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"out_dir": "runs/ctt_residual_base_context_obj_seed2",
|
| 3 |
+
"final_mean_loss": 2.223701705097954
|
| 4 |
+
}
|
| 5 |
+
{
|
| 6 |
+
"out_dir": "runs/ctt_residual_base_context_obj_seed2_val_proxy",
|
| 7 |
+
"num_rows": 69
|
| 8 |
+
}
|
| 9 |
+
{
|
| 10 |
+
"out_dir": "runs/ctt_val_proxy_comparison",
|
| 11 |
+
"rows": 8
|
| 12 |
+
}
|
| 13 |
+
{
|
| 14 |
+
"csv": "runs/summary_ctt.csv",
|
| 15 |
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"md": "runs/summary_ctt.md",
|
| 16 |
+
"rows": 95
|
| 17 |
+
}
|
reports/2026-07-03.md
CHANGED
|
@@ -28,6 +28,10 @@
|
|
| 28 |
- Added `scripts/slurm/reexport_rgb_ref_cil_charts.sbatch` to re-export a non-destructive `data/cil_charts_rgb_refs/{train,val,test}` chart DB and run leakage plus feature-source audits after rendering succeeds.
|
| 29 |
- Added `scripts/export_chart_observation_embeddings.py` to decode deployment-visible RGB observation refs into deterministic 32D `rgb_jpeg_stats_v1` embeddings without reading outcomes, labels, or hidden branches.
|
| 30 |
- Extended `cil/chart_features.py` with `base_context_obs`, a leakage-audited visual-stat diagnostic mode that appends the 32D observation embedding to the base/context chart token.
|
|
|
|
|
|
|
|
|
|
|
|
|
| 31 |
- Updated CTT loaders to attach `_chart_root` metadata so relative observation-embedding paths resolve correctly in train, proxy, rollout, utility-energy, and dominance code paths.
|
| 32 |
- Added `scripts/slurm/train_ctt_feature_proxy.sbatch` for feature-mode CTT proxy sweeps; it trains residual CTT and refreshes the proxy comparison/summary artifacts for a specified chart feature mode.
|
| 33 |
- Fixed validation/test dominance selectors to load chart maps with the checkpoint's recorded chart feature mode. This prevents 112D `base` features from being fed into 162D `base_context_obs` checkpoints when row-scored rollouts still need checkpoint base scores.
|
|
@@ -83,6 +87,17 @@
|
|
| 83 |
- `15115082`: `base_context_obs` seed 1, test 48 positive-support charts, K=8
|
| 84 |
- `15115083`: `base_context_obs` seed 2, test 48 positive-support charts, K=8
|
| 85 |
- purpose: check whether the validation support-side improvement transfers to the held-out test split.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 86 |
|
| 87 |
## Jobs Completed
|
| 88 |
|
|
@@ -194,10 +209,27 @@
|
|
| 194 |
- val: 6,704/6,704 rows with embeddings, 419 unique observation refs
|
| 195 |
- test: 6,560/6,560 rows with embeddings, 410 unique observation refs
|
| 196 |
- interpretation: this is a simple RGB-stat feature export, not a learned visual-language or object-centric representation.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 197 |
- RGB-ref leakage audit completed: `runs/leakage_audit_rgb_refs`, status `pass`, 0 violations.
|
| 198 |
- RGB-ref chart-feature audit completed: `runs/chart_feature_audit_rgb_refs`.
|
| 199 |
- train/val/test: 100% `observation_ref`, 100% `observation_embedding_path`, 100% scene id, and 100% instruction coverage
|
| 200 |
- feature dims: `base=112`, `base_context=130`, `base_context_obs=162`
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 201 |
- Base-context-observation CTT proxy diagnostics completed for three seeds:
|
| 202 |
- train artifacts: `runs/ctt_residual_base_context_obs_seed{0,1,2}`
|
| 203 |
- proxy artifacts: `runs/ctt_residual_base_context_obs_seed{0,1,2}_val_proxy`
|
|
@@ -298,6 +330,7 @@
|
|
| 298 |
- Local `nohup` HF daemon exited after auth check without a clear error. Slurm daemon `15106830` started but failed HF auth from the compute node after a 60s timeout, so it was canceled and replaced with local `setsid` daemon PID `615094`, which passed auth and began syncing.
|
| 299 |
- Visual-stat chart-token proxy array `15114949_[1-2]` completed successfully; no failure log.
|
| 300 |
- First local visual-stat dominance/learned-selector attempts failed with `RuntimeError: mat1 and mat2 shapes cannot be multiplied (1x112 and 162x128)` because row-scored selectors loaded chart maps in default `base` mode while base-score computation used 162D `base_context_obs` checkpoints. Fixed by making dominance scorers expose the checkpoint chart feature mode to chart-map loading, then reran successfully.
|
|
|
|
| 301 |
|
| 302 |
## Best Metric Table
|
| 303 |
|
|
@@ -308,9 +341,11 @@
|
|
| 308 |
| CTT residual full | 3 | 207 | 0.1981 | 0.6087 | 0.0296 | 0.4509 | 0.2703 | proxy pass |
|
| 309 |
| CTT residual base-context | 1 | 69 | 0.1739 | 0.6232 | 0.0182 | 0.4429 | 0.2471 | proxy pass |
|
| 310 |
| CTT residual base-context-observation | 3 | 207 | 0.2464 | 0.6425 | 0.0343 | 0.4347 | 0.2397 | proxy pass |
|
|
|
|
|
|
|
| 311 |
| CTT gated residual full | 3 | 207 | 0.2319 | 0.6135 | 0.0527 | 0.4337 | 0.1164 | proxy fail |
|
| 312 |
|
| 313 |
-
Interpretation: residual CTT beats local-atlas on mean positive distance while staying within the one-point NegativeNear@0.20 slack; it does not beat local-atlas on PPTC. The one-seed base-context diagnostic slightly improves mean positive distance and PPTC@0.40 over the seed-0 base-action token but remains weaker than local-atlas PPTC. The three-seed base-context-observation diagnostic
|
| 314 |
|
| 315 |
## Measured Rollout Gate Table
|
| 316 |
|
|
@@ -344,6 +379,7 @@ Interpretation: the test proposal oracle clears the internal 50% support target,
|
|
| 344 |
- Cross-split chart/state overlap audit: pass.
|
| 345 |
- Expert branches remain excluded from deployment candidates by index contract.
|
| 346 |
- `data/cil_charts_rgb_refs/{train,val,test}`: same split/audience contract, RGB-ref leakage audit pass with 0 violations, and 100% observation-ref plus 100% RGB-stat embedding coverage in `runs/chart_feature_audit_rgb_refs`.
|
|
|
|
| 347 |
|
| 348 |
## Data Accounting Status
|
| 349 |
|
|
@@ -354,6 +390,7 @@ Interpretation: the test proposal oracle clears the internal 50% support target,
|
|
| 354 |
- Split hash remains `aaa857b92cbe5d455009f3ca3380e8b124908aa6c4c99fc1da408f738ed2dcf6`.
|
| 355 |
- `runs/chart_feature_audit` documents the original `data/cil_charts` inputs: instruction and scene ids exist, but observation embeddings/raw refs do not.
|
| 356 |
- `runs/chart_feature_audit_rgb_refs` documents the new non-destructive RGB-ref export: all splits have observation refs and deterministic 32D RGB-stat embeddings. This supports visual-stat diagnostics only; it does not yet support a learned visual-language/object-centric claim.
|
|
|
|
| 357 |
|
| 358 |
## Paper Changes
|
| 359 |
|
|
@@ -371,6 +408,8 @@ Interpretation: the test proposal oracle clears the internal 50% support target,
|
|
| 371 |
- Added chart feature source audit evidence and base-context proxy diagnostic language. The paper treats `base_context` as a coarse metadata diagnostic and separates the original chart DB from the new RGB-ref diagnostic chart DB.
|
| 372 |
- Added RGB-ref/embedding audit evidence, the three-seed `base_context_obs` proxy row, measured validation/test rollout aggregates, and visual-stat dominance selector diagnostics. The draft describes this as a deterministic visual-stat support plus selector diagnostic that improves held-out selected success, but still not object-centric, learned visual-language, or enough for selected-action deployment evidence.
|
| 373 |
- Added `cil/chart_features.py`, `scripts/audit_chart_feature_sources.py`, `scripts/export_chart_observation_embeddings.py`, and `scripts/slurm/train_ctt_feature_proxy.sbatch` to the reproducibility artifact list.
|
|
|
|
|
|
|
| 374 |
- Reframed the title/abstract around `Counterfactual Action Atlas`; CTT is now the current transport generator inside the Atlas, not the whole novelty.
|
| 375 |
- Tightened the abstract to avoid overclaiming a successful learned generator: the paper now says the Atlas measures local do-action geometry and audits whether deployment-clean generators reach positive support.
|
| 376 |
- Added the train-calibration leakage rule to the split contract: when target charts are from train, retrieval excludes same chart id and same restored-state hash.
|
|
@@ -384,8 +423,8 @@ Interpretation: the test proposal oracle clears the internal 50% support target,
|
|
| 384 |
|
| 385 |
## Next Actions
|
| 386 |
|
| 387 |
-
1.
|
| 388 |
-
2.
|
| 389 |
-
3.
|
| 390 |
-
4.
|
| 391 |
-
5.
|
|
|
|
| 28 |
- Added `scripts/slurm/reexport_rgb_ref_cil_charts.sbatch` to re-export a non-destructive `data/cil_charts_rgb_refs/{train,val,test}` chart DB and run leakage plus feature-source audits after rendering succeeds.
|
| 29 |
- Added `scripts/export_chart_observation_embeddings.py` to decode deployment-visible RGB observation refs into deterministic 32D `rgb_jpeg_stats_v1` embeddings without reading outcomes, labels, or hidden branches.
|
| 30 |
- Extended `cil/chart_features.py` with `base_context_obs`, a leakage-audited visual-stat diagnostic mode that appends the 32D observation embedding to the base/context chart token.
|
| 31 |
+
- Added `scripts/export_chart_object_embeddings.py` to decode deployment-visible RGB observation refs into deterministic 64D `rgb_object_layout_v1` foreground component/layout embeddings without reading outcomes, labels, or hidden branches.
|
| 32 |
+
- Extended `cil/chart_features.py` with `base_context_obj` and `base_context_obs_obj` so CTT can test object-layout-only and RGB-stat-plus-object-layout chart tokens.
|
| 33 |
+
- Updated `scripts/audit_chart_feature_sources.py` to audit `object_embedding_path` coverage and report feature dimensions for the new object-layout modes.
|
| 34 |
+
- Updated selector/comparison scripts so new metrics artifacts expose top-level `data_hash` and `split_hash`.
|
| 35 |
- Updated CTT loaders to attach `_chart_root` metadata so relative observation-embedding paths resolve correctly in train, proxy, rollout, utility-energy, and dominance code paths.
|
| 36 |
- Added `scripts/slurm/train_ctt_feature_proxy.sbatch` for feature-mode CTT proxy sweeps; it trains residual CTT and refreshes the proxy comparison/summary artifacts for a specified chart feature mode.
|
| 37 |
- Fixed validation/test dominance selectors to load chart maps with the checkpoint's recorded chart feature mode. This prevents 112D `base` features from being fed into 162D `base_context_obs` checkpoints when row-scored rollouts still need checkpoint base scores.
|
|
|
|
| 87 |
- `15115082`: `base_context_obs` seed 1, test 48 positive-support charts, K=8
|
| 88 |
- `15115083`: `base_context_obs` seed 2, test 48 positive-support charts, K=8
|
| 89 |
- purpose: check whether the validation support-side improvement transfers to the held-out test split.
|
| 90 |
+
- Submitted object-layout CTT proxy arrays:
|
| 91 |
+
- `15116834_[0-2]`: residual CTT, `--chart-feature-mode base_context_obj`, validation proxy, K=16
|
| 92 |
+
- `15116833_[0-2]`: residual CTT, `--chart-feature-mode base_context_obs_obj`, validation proxy, K=16
|
| 93 |
+
- final scheduler state: all six array tasks completed with exit code `0:0` and empty stderr.
|
| 94 |
+
- purpose: test whether object-layout chart geometry improves proxy support before any rollout claim.
|
| 95 |
+
- Submitted measured object-layout CTT validation rollout jobs:
|
| 96 |
+
- `15116890`: `base_context_obj` seed 0, validation 69 positive-support charts, K=8
|
| 97 |
+
- `15116891`: `base_context_obj` seed 1, validation 69 positive-support charts, K=8
|
| 98 |
+
- `15116892`: `base_context_obj` seed 2, validation 69 positive-support charts, K=8
|
| 99 |
+
- current scheduler state: pending on priority.
|
| 100 |
+
- purpose: object-layout proxy passed the support/safety gate by mean positive distance, so the next evidence must be measured OutcomePTR rather than another proxy claim.
|
| 101 |
|
| 102 |
## Jobs Completed
|
| 103 |
|
|
|
|
| 209 |
- val: 6,704/6,704 rows with embeddings, 419 unique observation refs
|
| 210 |
- test: 6,560/6,560 rows with embeddings, 410 unique observation refs
|
| 211 |
- interpretation: this is a simple RGB-stat feature export, not a learned visual-language or object-centric representation.
|
| 212 |
+
- RGB object-layout embedding export completed: `runs/chart_object_embeddings_rgb_refs`.
|
| 213 |
+
- train: 32,704/32,704 rows with object-layout embeddings, 2,044 unique observation refs
|
| 214 |
+
- val: 6,704/6,704 rows with object-layout embeddings, 419 unique observation refs
|
| 215 |
+
- test: 6,560/6,560 rows with object-layout embeddings, 410 unique observation refs
|
| 216 |
+
- extractor: deterministic `rgb_object_layout_v1`, 64D foreground component/layout descriptor, no outcomes read.
|
| 217 |
- RGB-ref leakage audit completed: `runs/leakage_audit_rgb_refs`, status `pass`, 0 violations.
|
| 218 |
- RGB-ref chart-feature audit completed: `runs/chart_feature_audit_rgb_refs`.
|
| 219 |
- train/val/test: 100% `observation_ref`, 100% `observation_embedding_path`, 100% scene id, and 100% instruction coverage
|
| 220 |
- feature dims: `base=112`, `base_context=130`, `base_context_obs=162`
|
| 221 |
+
- Object-layout RGB-ref leakage audit completed: `runs/leakage_audit_rgb_refs_object`, status `pass`, 0 violations.
|
| 222 |
+
- Object-layout chart-feature audit completed: `runs/chart_feature_audit_rgb_refs_object`.
|
| 223 |
+
- train/val/test: 100% `object_embedding_path`, 100% `observation_embedding_path`, 100% `observation_ref`
|
| 224 |
+
- feature dims: `base=112`, `base_context=130`, `base_context_obs=162`, `base_context_obj=194`, `base_context_obs_obj=226`
|
| 225 |
+
- Local object-layout CTT smoke completed:
|
| 226 |
+
- `runs/ctt_residual_base_context_obj_smoke_seed0` and `_val_proxy`: train/eval shape path passes on 64 train charts and 8 validation target charts.
|
| 227 |
+
- `runs/ctt_residual_base_context_obs_obj_smoke_seed0` and `_val_proxy`: train/eval shape path passes on 64 train charts and 8 validation target charts.
|
| 228 |
+
- interpretation: smoke validates feature loading and proxy path only; full three-seed proxy jobs completed next.
|
| 229 |
+
- Object-layout CTT proxy diagnostics completed for three seeds:
|
| 230 |
+
- `runs/ctt_residual_base_context_obj_seed{0,1,2}` and `_val_proxy`: PPTC@0.20 `0.2271`, PPTC@0.40 `0.6425`, NegativeNear@0.20 `0.0380`, mean positive distance `0.4340`, diversity `0.2417`, proxy gate `pass`.
|
| 231 |
+
- `runs/ctt_residual_base_context_obs_obj_seed{0,1,2}` and `_val_proxy`: PPTC@0.20 `0.2077`, PPTC@0.40 `0.6425`, NegativeNear@0.20 `0.0285`, mean positive distance `0.4429`, diversity `0.2448`, proxy gate `pass`.
|
| 232 |
+
- interpretation: object-layout-only slightly improves mean positive distance over the RGB-stat row (`0.4340` vs `0.4347`) while staying inside the NegativeNear safety slack, but it does not beat RGB-stat on PPTC. This is enough to submit measured validation rollout, not enough for an OutcomePTR claim.
|
| 233 |
- Base-context-observation CTT proxy diagnostics completed for three seeds:
|
| 234 |
- train artifacts: `runs/ctt_residual_base_context_obs_seed{0,1,2}`
|
| 235 |
- proxy artifacts: `runs/ctt_residual_base_context_obs_seed{0,1,2}_val_proxy`
|
|
|
|
| 330 |
- Local `nohup` HF daemon exited after auth check without a clear error. Slurm daemon `15106830` started but failed HF auth from the compute node after a 60s timeout, so it was canceled and replaced with local `setsid` daemon PID `615094`, which passed auth and began syncing.
|
| 331 |
- Visual-stat chart-token proxy array `15114949_[1-2]` completed successfully; no failure log.
|
| 332 |
- First local visual-stat dominance/learned-selector attempts failed with `RuntimeError: mat1 and mat2 shapes cannot be multiplied (1x112 and 162x128)` because row-scored selectors loaded chart maps in default `base` mode while base-score computation used 162D `base_context_obs` checkpoints. Fixed by making dominance scorers expose the checkpoint chart feature mode to chart-map loading, then reran successfully.
|
| 333 |
+
- First object-layout local smoke attempt failed with `libgomp: Thread creation failed: Resource temporarily unavailable` under default thread settings. Reran successfully with `OMP_NUM_THREADS=1`, `OPENBLAS_NUM_THREADS=1`, `MKL_NUM_THREADS=1`, and `NUMEXPR_NUM_THREADS=1`; the Slurm wrapper already sets single-thread CPU env vars.
|
| 334 |
|
| 335 |
## Best Metric Table
|
| 336 |
|
|
|
|
| 341 |
| CTT residual full | 3 | 207 | 0.1981 | 0.6087 | 0.0296 | 0.4509 | 0.2703 | proxy pass |
|
| 342 |
| CTT residual base-context | 1 | 69 | 0.1739 | 0.6232 | 0.0182 | 0.4429 | 0.2471 | proxy pass |
|
| 343 |
| CTT residual base-context-observation | 3 | 207 | 0.2464 | 0.6425 | 0.0343 | 0.4347 | 0.2397 | proxy pass |
|
| 344 |
+
| CTT residual base-context-object-layout | 3 | 207 | 0.2271 | 0.6425 | 0.0380 | 0.4340 | 0.2417 | proxy pass |
|
| 345 |
+
| CTT residual base-context-observation-object-layout | 3 | 207 | 0.2077 | 0.6425 | 0.0285 | 0.4429 | 0.2448 | proxy pass |
|
| 346 |
| CTT gated residual full | 3 | 207 | 0.2319 | 0.6135 | 0.0527 | 0.4337 | 0.1164 | proxy fail |
|
| 347 |
|
| 348 |
+
Interpretation: residual CTT beats local-atlas on mean positive distance while staying within the one-point NegativeNear@0.20 slack; it does not beat local-atlas on PPTC. The one-seed base-context diagnostic slightly improves mean positive distance and PPTC@0.40 over the seed-0 base-action token but remains weaker than local-atlas PPTC. The three-seed base-context-observation diagnostic remains the strongest CTT proxy row on PPTC@0.20, while the object-layout-only row is slightly strongest on mean positive distance (`0.4340`) and stays within the safety slack. Gated CTT improves mean positive distance but fails the safety slack in the three-seed aggregate. These are proxy support metrics, not OutcomePTR or measured success.
|
| 349 |
|
| 350 |
## Measured Rollout Gate Table
|
| 351 |
|
|
|
|
| 379 |
- Cross-split chart/state overlap audit: pass.
|
| 380 |
- Expert branches remain excluded from deployment candidates by index contract.
|
| 381 |
- `data/cil_charts_rgb_refs/{train,val,test}`: same split/audience contract, RGB-ref leakage audit pass with 0 violations, and 100% observation-ref plus 100% RGB-stat embedding coverage in `runs/chart_feature_audit_rgb_refs`.
|
| 382 |
+
- `data/cil_charts_rgb_refs/{train,val,test}` after object-layout export: same split/audience contract, leakage audit pass with 0 violations in `runs/leakage_audit_rgb_refs_object`, and 100% object-layout embedding coverage in `runs/chart_feature_audit_rgb_refs_object`.
|
| 383 |
|
| 384 |
## Data Accounting Status
|
| 385 |
|
|
|
|
| 390 |
- Split hash remains `aaa857b92cbe5d455009f3ca3380e8b124908aa6c4c99fc1da408f738ed2dcf6`.
|
| 391 |
- `runs/chart_feature_audit` documents the original `data/cil_charts` inputs: instruction and scene ids exist, but observation embeddings/raw refs do not.
|
| 392 |
- `runs/chart_feature_audit_rgb_refs` documents the new non-destructive RGB-ref export: all splits have observation refs and deterministic 32D RGB-stat embeddings. This supports visual-stat diagnostics only; it does not yet support a learned visual-language/object-centric claim.
|
| 393 |
+
- `runs/chart_feature_audit_rgb_refs_object` documents the deterministic 64D RGB object-layout export. This is a leakage-clean representation diagnostic; full proxy rows are pending and should not be promoted into main results until `15116833`/`15116834` complete.
|
| 394 |
|
| 395 |
## Paper Changes
|
| 396 |
|
|
|
|
| 408 |
- Added chart feature source audit evidence and base-context proxy diagnostic language. The paper treats `base_context` as a coarse metadata diagnostic and separates the original chart DB from the new RGB-ref diagnostic chart DB.
|
| 409 |
- Added RGB-ref/embedding audit evidence, the three-seed `base_context_obs` proxy row, measured validation/test rollout aggregates, and visual-stat dominance selector diagnostics. The draft describes this as a deterministic visual-stat support plus selector diagnostic that improves held-out selected success, but still not object-centric, learned visual-language, or enough for selected-action deployment evidence.
|
| 410 |
- Added `cil/chart_features.py`, `scripts/audit_chart_feature_sources.py`, `scripts/export_chart_observation_embeddings.py`, and `scripts/slurm/train_ctt_feature_proxy.sbatch` to the reproducibility artifact list.
|
| 411 |
+
- Added `scripts/export_chart_object_embeddings.py` to the reproducibility artifact list as a deterministic object-layout chart-token exporter.
|
| 412 |
+
- Updated the validation proxy gate discussion to account for object-layout rows now present in `runs/ctt_val_proxy_comparison/table`: RGB-stat remains best on PPTC@0.20, object-layout-only is slightly best on mean positive distance, and both remain proxy-only until rollout jobs `15116890`--`15116892` finish.
|
| 413 |
- Reframed the title/abstract around `Counterfactual Action Atlas`; CTT is now the current transport generator inside the Atlas, not the whole novelty.
|
| 414 |
- Tightened the abstract to avoid overclaiming a successful learned generator: the paper now says the Atlas measures local do-action geometry and audits whether deployment-clean generators reach positive support.
|
| 415 |
- Added the train-calibration leakage rule to the split contract: when target charts are from train, retrieval excludes same chart id and same restored-state hash.
|
|
|
|
| 423 |
|
| 424 |
## Next Actions
|
| 425 |
|
| 426 |
+
1. Monitor Slurm arrays `15116833` and `15116834`; aggregate proxy comparison and summary as soon as object-layout feature-mode runs finish.
|
| 427 |
+
2. If object-layout proxy passes the local-atlas gate, submit measured validation rollouts before making any OutcomePTR claim.
|
| 428 |
+
3. If object-layout proxy fails, diagnose whether the foreground layout token hurts source retrieval or transport collapse, and keep it as a negative representation diagnostic.
|
| 429 |
+
4. Replace the current weak train-only utility/dominance model with richer visual-language/object-centric chart tokens; the best clean train-calibrated selector reaches only `0.3125` selected success.
|
| 430 |
+
5. Add unsafe execution rate and calibrated fallback rate to measured rollout artifacts.
|
reports/draft_audit_ctt.md
CHANGED
|
@@ -104,6 +104,19 @@ models, then evaluates once on held-out test rows. Its best row reaches only
|
|
| 104 |
negative evidence: the current failure is not merely linear separability in the
|
| 105 |
selector; the chart representation and outcome-vector features are still the
|
| 106 |
paper-critical bottleneck.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 107 |
|
| 108 |
Current artifact evidence:
|
| 109 |
|
|
@@ -141,6 +154,13 @@ Current artifact evidence:
|
|
| 141 |
`runs/ctt_base_context_obs_nonlinear_dominance_*_train_to_test` contain
|
| 142 |
nonlinear train-calibrated selector diagnostics; the best row is 0.3056
|
| 143 |
selected test success and is negative relative to the clean ridge selector.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 144 |
- `runs/ctt_learned_dominance_val_to_test` contains the first learned
|
| 145 |
validation-calibrated dominance selector diagnostic.
|
| 146 |
- `runs/ctt_learned_dominance_{success,success_weighted,margin_ext,tangent}_val_to_test`
|
|
|
|
| 104 |
negative evidence: the current failure is not merely linear separability in the
|
| 105 |
selector; the chart representation and outcome-vector features are still the
|
| 106 |
paper-critical bottleneck.
|
| 107 |
+
The current continuation adds a leakage-clean deterministic object-layout chart
|
| 108 |
+
token path, but it is not yet promoted as a method result. The exporter
|
| 109 |
+
`scripts/export_chart_object_embeddings.py` writes 64D RGB foreground
|
| 110 |
+
component/layout embeddings to `data/cil_charts_rgb_refs/{train,val,test}`;
|
| 111 |
+
`runs/chart_object_embeddings_rgb_refs` and
|
| 112 |
+
`runs/chart_feature_audit_rgb_refs_object` verify 100% coverage and no outcome
|
| 113 |
+
reads. Full three-seed proxy jobs for `base_context_obj` and
|
| 114 |
+
`base_context_obs_obj` completed: object-layout-only slightly improves mean
|
| 115 |
+
positive distance over the RGB-stat row (`0.4340` vs `0.4347`) while keeping
|
| 116 |
+
NegativeNear@0.20 within the safety slack, but it does not beat RGB-stat on
|
| 117 |
+
PPTC. Therefore measured validation rollout jobs `15116890`--`15116892` were
|
| 118 |
+
submitted for `base_context_obj`; the main paper should add OutcomePTR rows
|
| 119 |
+
only after those jobs finish.
|
| 120 |
|
| 121 |
Current artifact evidence:
|
| 122 |
|
|
|
|
| 154 |
`runs/ctt_base_context_obs_nonlinear_dominance_*_train_to_test` contain
|
| 155 |
nonlinear train-calibrated selector diagnostics; the best row is 0.3056
|
| 156 |
selected test success and is negative relative to the clean ridge selector.
|
| 157 |
+
- `scripts/export_chart_object_embeddings.py`,
|
| 158 |
+
`runs/chart_object_embeddings_rgb_refs`, and
|
| 159 |
+
`runs/chart_feature_audit_rgb_refs_object` contain the new deterministic
|
| 160 |
+
RGB object-layout chart-token export and audit; Slurm arrays `15116833` and
|
| 161 |
+
`15116834` contain the completed full proxy jobs for the corresponding CTT
|
| 162 |
+
feature modes, and `15116890`--`15116892` are the submitted measured
|
| 163 |
+
validation rollout jobs for the best proxy row.
|
| 164 |
- `runs/ctt_learned_dominance_val_to_test` contains the first learned
|
| 165 |
validation-calibrated dominance selector diagnostic.
|
| 166 |
- `runs/ctt_learned_dominance_{success,success_weighted,margin_ext,tangent}_val_to_test`
|
runs/chart_feature_audit_rgb_refs_object/command.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
python scripts/audit_chart_feature_sources.py --indexes data/cil_charts_rgb_refs/train/index.json data/cil_charts_rgb_refs/val/index.json data/cil_charts_rgb_refs/test/index.json --out-dir runs/chart_feature_audit_rgb_refs_object
|
runs/chart_feature_audit_rgb_refs_object/config.yaml
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
indexes: [PosixPath('data/cil_charts_rgb_refs/train/index.json'), PosixPath('data/cil_charts_rgb_refs/val/index.json'), PosixPath('data/cil_charts_rgb_refs/test/index.json')]
|
| 2 |
+
out_dir: runs/chart_feature_audit_rgb_refs_object
|
runs/chart_feature_audit_rgb_refs_object/data_hash.txt
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"data/cil_charts_rgb_refs/test/index.json": {
|
| 3 |
+
"content_hash": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
|
| 4 |
+
"split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f"
|
| 5 |
+
},
|
| 6 |
+
"data/cil_charts_rgb_refs/train/index.json": {
|
| 7 |
+
"content_hash": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
|
| 8 |
+
"split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
|
| 9 |
+
},
|
| 10 |
+
"data/cil_charts_rgb_refs/val/index.json": {
|
| 11 |
+
"content_hash": "1aacf9de98648fa36bef14e137eb43c7c6973170804650814dae41d09842c708",
|
| 12 |
+
"split_hash": "9d1dc1c10868f76fa080895df0f2730c173f12b6db14932599d55c2b60859381"
|
| 13 |
+
}
|
| 14 |
+
}
|
runs/chart_feature_audit_rgb_refs_object/eval.log
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
audited chart feature sources in exported chart indexes
|
runs/chart_feature_audit_rgb_refs_object/git_hash.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
14e81292e2004925f81e0bb4810f6f144bfd87b7
|
runs/chart_feature_audit_rgb_refs_object/metrics.json
ADDED
|
@@ -0,0 +1,261 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"conclusion": "Current chart exports expose observation and object-layout embeddings in every split; visual/object-layout chart features can be evaluated with leakage-audited indexes.",
|
| 3 |
+
"data_hash": {
|
| 4 |
+
"test": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
|
| 5 |
+
"train": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
|
| 6 |
+
"val": "1aacf9de98648fa36bef14e137eb43c7c6973170804650814dae41d09842c708"
|
| 7 |
+
},
|
| 8 |
+
"indexes": [
|
| 9 |
+
"data/cil_charts_rgb_refs/train/index.json",
|
| 10 |
+
"data/cil_charts_rgb_refs/val/index.json",
|
| 11 |
+
"data/cil_charts_rgb_refs/test/index.json"
|
| 12 |
+
],
|
| 13 |
+
"report_type": "chart_feature_source_audit",
|
| 14 |
+
"sample_details": [
|
| 15 |
+
{
|
| 16 |
+
"chart_id": "ms-52ea0261959dfacdbcac",
|
| 17 |
+
"has_instruction": true,
|
| 18 |
+
"has_observation_embedding_path": true,
|
| 19 |
+
"has_observation_ref": true,
|
| 20 |
+
"has_scene_id": true,
|
| 21 |
+
"split": "train",
|
| 22 |
+
"task_id": "LiftPegUpright-v1"
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"chart_id": "ms-52ea0261959dfacdbcac",
|
| 26 |
+
"has_instruction": true,
|
| 27 |
+
"has_observation_embedding_path": true,
|
| 28 |
+
"has_observation_ref": true,
|
| 29 |
+
"has_scene_id": true,
|
| 30 |
+
"split": "train",
|
| 31 |
+
"task_id": "LiftPegUpright-v1"
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"chart_id": "ms-52ea0261959dfacdbcac",
|
| 35 |
+
"has_instruction": true,
|
| 36 |
+
"has_observation_embedding_path": true,
|
| 37 |
+
"has_observation_ref": true,
|
| 38 |
+
"has_scene_id": true,
|
| 39 |
+
"split": "train",
|
| 40 |
+
"task_id": "LiftPegUpright-v1"
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"chart_id": "ms-52ea0261959dfacdbcac",
|
| 44 |
+
"has_instruction": true,
|
| 45 |
+
"has_observation_embedding_path": true,
|
| 46 |
+
"has_observation_ref": true,
|
| 47 |
+
"has_scene_id": true,
|
| 48 |
+
"split": "train",
|
| 49 |
+
"task_id": "LiftPegUpright-v1"
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"chart_id": "ms-52ea0261959dfacdbcac",
|
| 53 |
+
"has_instruction": true,
|
| 54 |
+
"has_observation_embedding_path": true,
|
| 55 |
+
"has_observation_ref": true,
|
| 56 |
+
"has_scene_id": true,
|
| 57 |
+
"split": "train",
|
| 58 |
+
"task_id": "LiftPegUpright-v1"
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"chart_id": "ms-0a8109ce7ab2ddc1bb1e",
|
| 62 |
+
"has_instruction": true,
|
| 63 |
+
"has_observation_embedding_path": true,
|
| 64 |
+
"has_observation_ref": true,
|
| 65 |
+
"has_scene_id": true,
|
| 66 |
+
"split": "val",
|
| 67 |
+
"task_id": "LiftPegUpright-v1"
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"chart_id": "ms-0a8109ce7ab2ddc1bb1e",
|
| 71 |
+
"has_instruction": true,
|
| 72 |
+
"has_observation_embedding_path": true,
|
| 73 |
+
"has_observation_ref": true,
|
| 74 |
+
"has_scene_id": true,
|
| 75 |
+
"split": "val",
|
| 76 |
+
"task_id": "LiftPegUpright-v1"
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"chart_id": "ms-0a8109ce7ab2ddc1bb1e",
|
| 80 |
+
"has_instruction": true,
|
| 81 |
+
"has_observation_embedding_path": true,
|
| 82 |
+
"has_observation_ref": true,
|
| 83 |
+
"has_scene_id": true,
|
| 84 |
+
"split": "val",
|
| 85 |
+
"task_id": "LiftPegUpright-v1"
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"chart_id": "ms-0a8109ce7ab2ddc1bb1e",
|
| 89 |
+
"has_instruction": true,
|
| 90 |
+
"has_observation_embedding_path": true,
|
| 91 |
+
"has_observation_ref": true,
|
| 92 |
+
"has_scene_id": true,
|
| 93 |
+
"split": "val",
|
| 94 |
+
"task_id": "LiftPegUpright-v1"
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"chart_id": "ms-0a8109ce7ab2ddc1bb1e",
|
| 98 |
+
"has_instruction": true,
|
| 99 |
+
"has_observation_embedding_path": true,
|
| 100 |
+
"has_observation_ref": true,
|
| 101 |
+
"has_scene_id": true,
|
| 102 |
+
"split": "val",
|
| 103 |
+
"task_id": "LiftPegUpright-v1"
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"chart_id": "ms-4b3a296acc66a14476c3",
|
| 107 |
+
"has_instruction": true,
|
| 108 |
+
"has_observation_embedding_path": true,
|
| 109 |
+
"has_observation_ref": true,
|
| 110 |
+
"has_scene_id": true,
|
| 111 |
+
"split": "test",
|
| 112 |
+
"task_id": "LiftPegUpright-v1"
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"chart_id": "ms-4b3a296acc66a14476c3",
|
| 116 |
+
"has_instruction": true,
|
| 117 |
+
"has_observation_embedding_path": true,
|
| 118 |
+
"has_observation_ref": true,
|
| 119 |
+
"has_scene_id": true,
|
| 120 |
+
"split": "test",
|
| 121 |
+
"task_id": "LiftPegUpright-v1"
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"chart_id": "ms-4b3a296acc66a14476c3",
|
| 125 |
+
"has_instruction": true,
|
| 126 |
+
"has_observation_embedding_path": true,
|
| 127 |
+
"has_observation_ref": true,
|
| 128 |
+
"has_scene_id": true,
|
| 129 |
+
"split": "test",
|
| 130 |
+
"task_id": "LiftPegUpright-v1"
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"chart_id": "ms-4b3a296acc66a14476c3",
|
| 134 |
+
"has_instruction": true,
|
| 135 |
+
"has_observation_embedding_path": true,
|
| 136 |
+
"has_observation_ref": true,
|
| 137 |
+
"has_scene_id": true,
|
| 138 |
+
"split": "test",
|
| 139 |
+
"task_id": "LiftPegUpright-v1"
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"chart_id": "ms-4b3a296acc66a14476c3",
|
| 143 |
+
"has_instruction": true,
|
| 144 |
+
"has_observation_embedding_path": true,
|
| 145 |
+
"has_observation_ref": true,
|
| 146 |
+
"has_scene_id": true,
|
| 147 |
+
"split": "test",
|
| 148 |
+
"task_id": "LiftPegUpright-v1"
|
| 149 |
+
}
|
| 150 |
+
],
|
| 151 |
+
"schema_version": 1,
|
| 152 |
+
"split_hash": {
|
| 153 |
+
"test": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f",
|
| 154 |
+
"train": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372",
|
| 155 |
+
"val": "9d1dc1c10868f76fa080895df0f2730c173f12b6db14932599d55c2b60859381"
|
| 156 |
+
},
|
| 157 |
+
"splits": [
|
| 158 |
+
{
|
| 159 |
+
"charts": 2044,
|
| 160 |
+
"feature_dims": {
|
| 161 |
+
"base": 112,
|
| 162 |
+
"base_context": 130,
|
| 163 |
+
"base_context_obj": 194,
|
| 164 |
+
"base_context_obs": 162,
|
| 165 |
+
"base_context_obs_obj": 226
|
| 166 |
+
},
|
| 167 |
+
"include_outcomes": true,
|
| 168 |
+
"index": "data/cil_charts_rgb_refs/train/index.json",
|
| 169 |
+
"instruction_present": 32704,
|
| 170 |
+
"instruction_rate": 1.0,
|
| 171 |
+
"object_embedding_path_present": 32704,
|
| 172 |
+
"object_embedding_path_rate": 1.0,
|
| 173 |
+
"observation_embedding_path_present": 32704,
|
| 174 |
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"observation_embedding_path_rate": 1.0,
|
| 175 |
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"observation_ref_present": 32704,
|
| 176 |
+
"observation_ref_rate": 1.0,
|
| 177 |
+
"retrieval_index_allowed": true,
|
| 178 |
+
"rows": 32704,
|
| 179 |
+
"scene_id_present": 32704,
|
| 180 |
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"scene_id_rate": 1.0,
|
| 181 |
+
"source_dataset_present": 32704,
|
| 182 |
+
"source_dataset_rate": 1.0,
|
| 183 |
+
"split": "train",
|
| 184 |
+
"task_counts": {
|
| 185 |
+
"LiftPegUpright-v1": 5664,
|
| 186 |
+
"PickCube-v1": 11264,
|
| 187 |
+
"PullCube-v1": 4240,
|
| 188 |
+
"PushCube-v1": 5872,
|
| 189 |
+
"StackCube-v1": 5664
|
| 190 |
+
}
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"charts": 419,
|
| 194 |
+
"feature_dims": {
|
| 195 |
+
"base": 112,
|
| 196 |
+
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|
| 197 |
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|
| 198 |
+
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|
| 199 |
+
"base_context_obs_obj": 226
|
| 200 |
+
},
|
| 201 |
+
"include_outcomes": true,
|
| 202 |
+
"index": "data/cil_charts_rgb_refs/val/index.json",
|
| 203 |
+
"instruction_present": 6704,
|
| 204 |
+
"instruction_rate": 1.0,
|
| 205 |
+
"object_embedding_path_present": 6704,
|
| 206 |
+
"object_embedding_path_rate": 1.0,
|
| 207 |
+
"observation_embedding_path_present": 6704,
|
| 208 |
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"observation_embedding_path_rate": 1.0,
|
| 209 |
+
"observation_ref_present": 6704,
|
| 210 |
+
"observation_ref_rate": 1.0,
|
| 211 |
+
"retrieval_index_allowed": false,
|
| 212 |
+
"rows": 6704,
|
| 213 |
+
"scene_id_present": 6704,
|
| 214 |
+
"scene_id_rate": 1.0,
|
| 215 |
+
"source_dataset_present": 6704,
|
| 216 |
+
"source_dataset_rate": 1.0,
|
| 217 |
+
"split": "val",
|
| 218 |
+
"task_counts": {
|
| 219 |
+
"LiftPegUpright-v1": 1056,
|
| 220 |
+
"PickCube-v1": 2384,
|
| 221 |
+
"PullCube-v1": 928,
|
| 222 |
+
"PushCube-v1": 1008,
|
| 223 |
+
"StackCube-v1": 1328
|
| 224 |
+
}
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"charts": 410,
|
| 228 |
+
"feature_dims": {
|
| 229 |
+
"base": 112,
|
| 230 |
+
"base_context": 130,
|
| 231 |
+
"base_context_obj": 194,
|
| 232 |
+
"base_context_obs": 162,
|
| 233 |
+
"base_context_obs_obj": 226
|
| 234 |
+
},
|
| 235 |
+
"include_outcomes": true,
|
| 236 |
+
"index": "data/cil_charts_rgb_refs/test/index.json",
|
| 237 |
+
"instruction_present": 6560,
|
| 238 |
+
"instruction_rate": 1.0,
|
| 239 |
+
"object_embedding_path_present": 6560,
|
| 240 |
+
"object_embedding_path_rate": 1.0,
|
| 241 |
+
"observation_embedding_path_present": 6560,
|
| 242 |
+
"observation_embedding_path_rate": 1.0,
|
| 243 |
+
"observation_ref_present": 6560,
|
| 244 |
+
"observation_ref_rate": 1.0,
|
| 245 |
+
"retrieval_index_allowed": false,
|
| 246 |
+
"rows": 6560,
|
| 247 |
+
"scene_id_present": 6560,
|
| 248 |
+
"scene_id_rate": 1.0,
|
| 249 |
+
"source_dataset_present": 6560,
|
| 250 |
+
"source_dataset_rate": 1.0,
|
| 251 |
+
"split": "test",
|
| 252 |
+
"task_counts": {
|
| 253 |
+
"LiftPegUpright-v1": 1280,
|
| 254 |
+
"PickCube-v1": 2352,
|
| 255 |
+
"PullCube-v1": 800,
|
| 256 |
+
"PushCube-v1": 1120,
|
| 257 |
+
"StackCube-v1": 1008
|
| 258 |
+
}
|
| 259 |
+
}
|
| 260 |
+
]
|
| 261 |
+
}
|
runs/chart_feature_audit_rgb_refs_object/metrics_by_seed.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{}
|
runs/chart_feature_audit_rgb_refs_object/metrics_by_task.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"LiftPegUpright-v1": {
|
| 3 |
+
"test": 1280,
|
| 4 |
+
"train": 5664,
|
| 5 |
+
"val": 1056
|
| 6 |
+
},
|
| 7 |
+
"PickCube-v1": {
|
| 8 |
+
"test": 2352,
|
| 9 |
+
"train": 11264,
|
| 10 |
+
"val": 2384
|
| 11 |
+
},
|
| 12 |
+
"PullCube-v1": {
|
| 13 |
+
"test": 800,
|
| 14 |
+
"train": 4240,
|
| 15 |
+
"val": 928
|
| 16 |
+
},
|
| 17 |
+
"PushCube-v1": {
|
| 18 |
+
"test": 1120,
|
| 19 |
+
"train": 5872,
|
| 20 |
+
"val": 1008
|
| 21 |
+
},
|
| 22 |
+
"StackCube-v1": {
|
| 23 |
+
"test": 1008,
|
| 24 |
+
"train": 5664,
|
| 25 |
+
"val": 1328
|
| 26 |
+
}
|
| 27 |
+
}
|
runs/chart_feature_audit_rgb_refs_object/report.md
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Chart Feature Source Audit
|
| 2 |
+
|
| 3 |
+
Current chart exports expose observation and object-layout embeddings in every split; visual/object-layout chart features can be evaluated with leakage-audited indexes.
|
| 4 |
+
|
| 5 |
+
| Split | Rows | Obs embedding path | Object embedding path | Obs ref | Scene id | Instruction | Feature dims |
|
| 6 |
+
| --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |
|
| 7 |
+
| train | 32704 | 32704 (100.00%) | 32704 (100.00%) | 32704 (100.00%) | 32704 (100.00%) | 32704 (100.00%) | {"base": 112, "base_context": 130, "base_context_obj": 194, "base_context_obs": 162, "base_context_obs_obj": 226} |
|
| 8 |
+
| val | 6704 | 6704 (100.00%) | 6704 (100.00%) | 6704 (100.00%) | 6704 (100.00%) | 6704 (100.00%) | {"base": 112, "base_context": 130, "base_context_obj": 194, "base_context_obs": 162, "base_context_obs_obj": 226} |
|
| 9 |
+
| test | 6560 | 6560 (100.00%) | 6560 (100.00%) | 6560 (100.00%) | 6560 (100.00%) | 6560 (100.00%) | {"base": 112, "base_context": 130, "base_context_obj": 194, "base_context_obs": 162, "base_context_obs_obj": 226} |
|
runs/chart_feature_audit_rgb_refs_object/split_hash.txt
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"data/cil_charts_rgb_refs/test/index.json": {
|
| 3 |
+
"content_hash": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
|
| 4 |
+
"split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f"
|
| 5 |
+
},
|
| 6 |
+
"data/cil_charts_rgb_refs/train/index.json": {
|
| 7 |
+
"content_hash": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
|
| 8 |
+
"split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
|
| 9 |
+
},
|
| 10 |
+
"data/cil_charts_rgb_refs/val/index.json": {
|
| 11 |
+
"content_hash": "1aacf9de98648fa36bef14e137eb43c7c6973170804650814dae41d09842c708",
|
| 12 |
+
"split_hash": "9d1dc1c10868f76fa080895df0f2730c173f12b6db14932599d55c2b60859381"
|
| 13 |
+
}
|
| 14 |
+
}
|
runs/chart_feature_audit_rgb_refs_object/table.tex
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
% Auto-generated by scripts/audit_chart_feature_sources.py
|
| 2 |
+
\begin{tabular}{lrrrrr}
|
| 3 |
+
\toprule
|
| 4 |
+
Split & Rows & ObsEmbed & ObjEmbed & ObsRef & Instruction \\
|
| 5 |
+
\midrule
|
| 6 |
+
train & 32704 & 32704 & 32704 & 32704 & 32704 \\
|
| 7 |
+
val & 6704 & 6704 & 6704 & 6704 & 6704 \\
|
| 8 |
+
test & 6560 & 6560 & 6560 & 6560 & 6560 \\
|
| 9 |
+
\bottomrule
|
| 10 |
+
\end{tabular}
|
runs/chart_feature_audit_rgb_refs_object/train.log
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
not a training run; audited chart feature sources
|
runs/chart_object_embeddings_rgb_refs/command.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
python scripts/export_chart_object_embeddings.py --indexes data/cil_charts_rgb_refs/train/index.json data/cil_charts_rgb_refs/val/index.json data/cil_charts_rgb_refs/test/index.json --out-dir runs/chart_object_embeddings_rgb_refs --overwrite
|
runs/chart_object_embeddings_rgb_refs/config.yaml
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
indexes: [PosixPath('data/cil_charts_rgb_refs/train/index.json'), PosixPath('data/cil_charts_rgb_refs/val/index.json'), PosixPath('data/cil_charts_rgb_refs/test/index.json')]
|
| 2 |
+
out_dir: runs/chart_object_embeddings_rgb_refs
|
| 3 |
+
overwrite: True
|
runs/chart_object_embeddings_rgb_refs/data_hash.txt
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"data/cil_charts_rgb_refs/test/index.json": {
|
| 3 |
+
"content_hash": "d258ed27d587e6f41ef6ffd520832087fe7626b5e5cba2bd6352f50a1f45125a",
|
| 4 |
+
"split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f"
|
| 5 |
+
},
|
| 6 |
+
"data/cil_charts_rgb_refs/train/index.json": {
|
| 7 |
+
"content_hash": "1d15143588697e89f7fc2f6375b2745e4d479c726c9a947ff7eb7b2705280e1a",
|
| 8 |
+
"split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
|
| 9 |
+
},
|
| 10 |
+
"data/cil_charts_rgb_refs/val/index.json": {
|
| 11 |
+
"content_hash": "577761809f93f760fc7de6558a25d8085b2a0e51ca5d969680e99bcfa8586850",
|
| 12 |
+
"split_hash": "9d1dc1c10868f76fa080895df0f2730c173f12b6db14932599d55c2b60859381"
|
| 13 |
+
}
|
| 14 |
+
}
|
runs/chart_object_embeddings_rgb_refs/eval.log
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
decoded observation_ref JPEGs only; no outcomes, labels, or hidden branches read
|
runs/chart_object_embeddings_rgb_refs/git_hash.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
14e81292e2004925f81e0bb4810f6f144bfd87b7
|
runs/chart_object_embeddings_rgb_refs/metrics.json
ADDED
|
@@ -0,0 +1,85 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"data_hash": {
|
| 3 |
+
"test": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
|
| 4 |
+
"train": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
|
| 5 |
+
"val": "1aacf9de98648fa36bef14e137eb43c7c6973170804650814dae41d09842c708"
|
| 6 |
+
},
|
| 7 |
+
"embedding_dim": 64,
|
| 8 |
+
"extractor": "rgb_object_layout_v1",
|
| 9 |
+
"indexes": [
|
| 10 |
+
"data/cil_charts_rgb_refs/train/index.json",
|
| 11 |
+
"data/cil_charts_rgb_refs/val/index.json",
|
| 12 |
+
"data/cil_charts_rgb_refs/test/index.json"
|
| 13 |
+
],
|
| 14 |
+
"leakage_contract": {
|
| 15 |
+
"reads_observation_ref": true,
|
| 16 |
+
"reads_outcomes": false,
|
| 17 |
+
"writes_object_embedding_path": true
|
| 18 |
+
},
|
| 19 |
+
"report_type": "chart_object_embedding_export",
|
| 20 |
+
"schema_version": 1,
|
| 21 |
+
"split_hash": {
|
| 22 |
+
"test": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f",
|
| 23 |
+
"train": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372",
|
| 24 |
+
"val": "9d1dc1c10868f76fa080895df0f2730c173f12b6db14932599d55c2b60859381"
|
| 25 |
+
},
|
| 26 |
+
"splits": [
|
| 27 |
+
{
|
| 28 |
+
"content_hash_after": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
|
| 29 |
+
"embedding_content_hash": "fe97ac428d6b0ed4da7060eb6f697c1392b4a8a09988a10c0f633b1e457bd568",
|
| 30 |
+
"embedding_path": "data/cil_charts_rgb_refs/train/object_embeddings_rgb_layout.npz",
|
| 31 |
+
"index": "data/cil_charts_rgb_refs/train/index.json",
|
| 32 |
+
"missing_observation_ref": 0,
|
| 33 |
+
"rows": 32704,
|
| 34 |
+
"rows_with_embedding": 32704,
|
| 35 |
+
"split": "train",
|
| 36 |
+
"split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372",
|
| 37 |
+
"task_counts": {
|
| 38 |
+
"LiftPegUpright-v1": 5664,
|
| 39 |
+
"PickCube-v1": 11264,
|
| 40 |
+
"PullCube-v1": 4240,
|
| 41 |
+
"PushCube-v1": 5872,
|
| 42 |
+
"StackCube-v1": 5664
|
| 43 |
+
},
|
| 44 |
+
"unique_observation_refs": 2044
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"content_hash_after": "1aacf9de98648fa36bef14e137eb43c7c6973170804650814dae41d09842c708",
|
| 48 |
+
"embedding_content_hash": "411ee7d4c96458879f14fc9460c0e10d5309d83aacd5552c6bcbe089e81838bc",
|
| 49 |
+
"embedding_path": "data/cil_charts_rgb_refs/val/object_embeddings_rgb_layout.npz",
|
| 50 |
+
"index": "data/cil_charts_rgb_refs/val/index.json",
|
| 51 |
+
"missing_observation_ref": 0,
|
| 52 |
+
"rows": 6704,
|
| 53 |
+
"rows_with_embedding": 6704,
|
| 54 |
+
"split": "val",
|
| 55 |
+
"split_hash": "9d1dc1c10868f76fa080895df0f2730c173f12b6db14932599d55c2b60859381",
|
| 56 |
+
"task_counts": {
|
| 57 |
+
"LiftPegUpright-v1": 1056,
|
| 58 |
+
"PickCube-v1": 2384,
|
| 59 |
+
"PullCube-v1": 928,
|
| 60 |
+
"PushCube-v1": 1008,
|
| 61 |
+
"StackCube-v1": 1328
|
| 62 |
+
},
|
| 63 |
+
"unique_observation_refs": 419
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"content_hash_after": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
|
| 67 |
+
"embedding_content_hash": "4e8773e46aef035fe87b3a6b631ae0bd9c82ba2c7310c62545a6b8c8a86373d5",
|
| 68 |
+
"embedding_path": "data/cil_charts_rgb_refs/test/object_embeddings_rgb_layout.npz",
|
| 69 |
+
"index": "data/cil_charts_rgb_refs/test/index.json",
|
| 70 |
+
"missing_observation_ref": 0,
|
| 71 |
+
"rows": 6560,
|
| 72 |
+
"rows_with_embedding": 6560,
|
| 73 |
+
"split": "test",
|
| 74 |
+
"split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f",
|
| 75 |
+
"task_counts": {
|
| 76 |
+
"LiftPegUpright-v1": 1280,
|
| 77 |
+
"PickCube-v1": 2352,
|
| 78 |
+
"PullCube-v1": 800,
|
| 79 |
+
"PushCube-v1": 1120,
|
| 80 |
+
"StackCube-v1": 1008
|
| 81 |
+
},
|
| 82 |
+
"unique_observation_refs": 410
|
| 83 |
+
}
|
| 84 |
+
]
|
| 85 |
+
}
|
runs/chart_object_embeddings_rgb_refs/metrics_by_seed.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{}
|
runs/chart_object_embeddings_rgb_refs/metrics_by_task.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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| 1 |
+
{
|
| 2 |
+
"LiftPegUpright-v1": {
|
| 3 |
+
"test": 1280,
|
| 4 |
+
"train": 5664,
|
| 5 |
+
"val": 1056
|
| 6 |
+
},
|
| 7 |
+
"PickCube-v1": {
|
| 8 |
+
"test": 2352,
|
| 9 |
+
"train": 11264,
|
| 10 |
+
"val": 2384
|
| 11 |
+
},
|
| 12 |
+
"PullCube-v1": {
|
| 13 |
+
"test": 800,
|
| 14 |
+
"train": 4240,
|
| 15 |
+
"val": 928
|
| 16 |
+
},
|
| 17 |
+
"PushCube-v1": {
|
| 18 |
+
"test": 1120,
|
| 19 |
+
"train": 5872,
|
| 20 |
+
"val": 1008
|
| 21 |
+
},
|
| 22 |
+
"StackCube-v1": {
|
| 23 |
+
"test": 1008,
|
| 24 |
+
"train": 5664,
|
| 25 |
+
"val": 1328
|
| 26 |
+
}
|
| 27 |
+
}
|
runs/chart_object_embeddings_rgb_refs/report.md
ADDED
|
@@ -0,0 +1,9 @@
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| 1 |
+
# Chart Object-Layout Embedding Export
|
| 2 |
+
|
| 3 |
+
Decoded deployment-visible RGB observation refs into deterministic 64D foreground component/layout embeddings. No outcome, label, or hidden-branch fields are read.
|
| 4 |
+
|
| 5 |
+
| Split | Rows | With embedding | Missing refs | Unique refs |
|
| 6 |
+
| --- | ---: | ---: | ---: | ---: |
|
| 7 |
+
| train | 32704 | 32704 | 0 | 2044 |
|
| 8 |
+
| val | 6704 | 6704 | 0 | 419 |
|
| 9 |
+
| test | 6560 | 6560 | 0 | 410 |
|
runs/chart_object_embeddings_rgb_refs/split_hash.txt
ADDED
|
@@ -0,0 +1,14 @@
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|
| 1 |
+
{
|
| 2 |
+
"data/cil_charts_rgb_refs/test/index.json": {
|
| 3 |
+
"content_hash": "d258ed27d587e6f41ef6ffd520832087fe7626b5e5cba2bd6352f50a1f45125a",
|
| 4 |
+
"split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f"
|
| 5 |
+
},
|
| 6 |
+
"data/cil_charts_rgb_refs/train/index.json": {
|
| 7 |
+
"content_hash": "1d15143588697e89f7fc2f6375b2745e4d479c726c9a947ff7eb7b2705280e1a",
|
| 8 |
+
"split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
|
| 9 |
+
},
|
| 10 |
+
"data/cil_charts_rgb_refs/val/index.json": {
|
| 11 |
+
"content_hash": "577761809f93f760fc7de6558a25d8085b2a0e51ca5d969680e99bcfa8586850",
|
| 12 |
+
"split_hash": "9d1dc1c10868f76fa080895df0f2730c173f12b6db14932599d55c2b60859381"
|
| 13 |
+
}
|
| 14 |
+
}
|
runs/chart_object_embeddings_rgb_refs/table.tex
ADDED
|
@@ -0,0 +1,10 @@
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|
| 1 |
+
% Auto-generated by scripts/export_chart_object_embeddings.py
|
| 2 |
+
\begin{tabular}{lrrr}
|
| 3 |
+
\toprule
|
| 4 |
+
Split & Rows & With object embed & Unique refs \\
|
| 5 |
+
\midrule
|
| 6 |
+
train & 32704 & 32704 & 2044 \\
|
| 7 |
+
val & 6704 & 6704 & 419 \\
|
| 8 |
+
test & 6560 & 6560 & 410 \\
|
| 9 |
+
\bottomrule
|
| 10 |
+
\end{tabular}
|
runs/chart_object_embeddings_rgb_refs/train.log
ADDED
|
@@ -0,0 +1 @@
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|
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|
| 1 |
+
not a training run; exported object-layout embeddings
|