{"as_of":"2026-08-18T06:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:87985d097e965452a2efb7edf15e9021681a2bb1ef13d0bc269fec647da7d345","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:09:11.179013Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.06657/citation-record","integrity":"/paper/2608.06657/integrity","json":"/paper/2608.06657/citation-record.json","paper":"/paper/2608.06657"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"0710.3742","last_updated":"2007-10-19T17:18:30Z","snapshot_observed_at":"2026-08-15T10:29:33.963043Z","submitted_at":"2007-10-19T17:18:30Z","title":"Bayesian Online Changepoint Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0710.3742","snapshot_observed_at":"2026-08-10T23:09:11.135507Z","title":"Bayesian Online Changepoint Detection,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.135507Z"},"links":{"cited_paper":"/paper/0710.3742","citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:76677ec86838c3930ed4a21da89938ebf9f8899d25f2ff9a8e897891c3a3839c","observation_id":"7cb4d3e0-c689-453f-98f8-2272a57d68b7","resolution":{"observed_at":"2026-08-10T23:09:11.135507Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jss.2016.07.005","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:09:11.230202Z","title":"A survey on feature drift adaptation: Definition, benchmark, challenges and future directions,","venue":null,"work_id":"650dfed7-f1f8-4113-be3e-1bf61002c0ac","year":2017},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.138918Z"},"links":{"citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:cceddd888df02356a3355d822fb7ddf18c5351291eeda312a2eb6204ea01b6ce","observation_id":"eaa13be1-026c-451a-aa14-fff20392a518","resolution":{"observed_at":"2026-08-10T23:09:11.233284Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:09:11.519391Z","title":"Detecting Change in Data Streams,","venue":null,"work_id":"e411ea62-bb8e-4f73-9535-f4be0c1bbdf1","year":2004},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.141487Z"},"links":{"citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:5c666e73523dc5f3c1253df8061063614aba28ea7f4d0de8fe3a624a80247e2c","observation_id":"f853e519-0847-442e-bb79-f73e34f4e153","resolution":{"observed_at":"2026-08-10T23:09:11.521789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.13657","last_updated":"2025-10-26T23:25:18Z","snapshot_observed_at":"2026-08-16T06:37:17.259416Z","submitted_at":"2025-03-17T19:04:38Z","title":"Why Do Multi-Agent LLM Systems Fail?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.13657","snapshot_observed_at":"2026-08-10T23:09:11.144093Z","title":"Why Do Multi-Agent LLM Systems Fail?,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.144093Z"},"links":{"cited_paper":"/paper/2503.13657","citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:a287d7f5aba7efb5b885b6f8994941868dba025317001e6cd0690a0abbcf0067","observation_id":"792e989d-22b2-4882-8990-4ae49d8fbb00","resolution":{"observed_at":"2026-08-10T23:09:11.144093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:09:11.146735Z","title":"A coefficient of agreement for nominal scales,","venue":null,"work_id":null,"year":1960},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.146735Z"},"links":{"citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:5df690e73ddaadab62439815f9b08d506a21c08b25a5aa8818acda7d385b351c","observation_id":"46353831-0227-4a70-b6fb-49d3372dd4d8","resolution":{"observed_at":"2026-08-10T23:09:11.146735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:09:11.149709Z","title":"Measuring nominal scale agreement among many raters,","venue":null,"work_id":null,"year":1971},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.149709Z"},"links":{"citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:b00052d725132121d47bd90b00537d9a7f0817b124a1ee25751ff54c9a92d35d","observation_id":"51e87bb0-229b-49e3-a9a5-91c6d5ad336c","resolution":{"observed_at":"2026-08-10T23:09:11.149709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:09:11.152314Z","title":"Learning with Drift Detection,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.152314Z"},"links":{"citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:82bed46646641ba6d649e702f953f7a74593e1a0332ae0d95f9e56ac736e7eaf","observation_id":"ee58bfff-50d8-4fba-9433-9f375ae8cc80","resolution":{"observed_at":"2026-08-10T23:09:11.152314Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:09:11.154639Z","title":"A survey on concept drift adaptation,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.154639Z"},"links":{"citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:4e73bf5e04fda1bf7e1024fb2b918785ab320ae3e2cb743ca1a6837287af7fb9","observation_id":"f72e341a-d65a-47a8-9321-be7e41a40512","resolution":{"observed_at":"2026-08-10T23:09:11.154639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1609/aaai.v36i2.20098","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:09:11.204819Z","title":"TEACh: Task-Driven Embodied Agents That Chat,","venue":null,"work_id":"35f19e24-68c1-496d-873e-57e87d3bb7dc","year":2022},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.156730Z"},"links":{"citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:5b0fad1033ccaef33489391943820df880fa14f152b2fc701d33688b82cfe97a","observation_id":"23a72649-83a2-488e-b73f-179de914cf6d","resolution":{"observed_at":"2026-08-10T23:09:11.209318Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:09:11.158766Z","title":"Recent Advances on Jamming and Spoofing Detection in GNSS,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.158766Z"},"links":{"citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:0e16dfde54cfbd6ff2adf7958c3c15149d2bd69732c1544955622cbe9af94792","observation_id":"b895a18b-aba5-4e23-bc62-dfa190d9a71a","resolution":{"observed_at":"2026-08-10T23:09:11.158766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01734","last_updated":"2020-03-31T01:18:33Z","snapshot_observed_at":"2026-08-16T19:41:20.153905Z","submitted_at":"2019-12-03T23:18:59Z","title":"ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01734","snapshot_observed_at":"2026-08-10T23:09:11.160804Z","title":"ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.160804Z"},"links":{"cited_paper":"/paper/1912.01734","citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:cee7f09c4cb562b7dfd90b4bd08c98ec53382b4078ecbbf6d71dbb2e7f48dbd6","observation_id":"b015ace5-b36e-4fa6-92d8-f070db4e1c2d","resolution":{"observed_at":"2026-08-10T23:09:11.160804Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:09:11.163220Z","title":"HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.163220Z"},"links":{"citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:3656d27f7ea9df18f39dd73bd6c8cc91e9480552ac4bde1afb94c0d77c2087f8","observation_id":"cd2189af-69db-4549-81fe-8aca85c129d5","resolution":{"observed_at":"2026-08-10T23:09:11.163220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-10T23:09:11.165178Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.165178Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:8a235a2605094d9c37e7b8e4ae7deec4a937a8eea1a9612586f65c2f91679bc6","observation_id":"4d0ee355-9e82-4a5c-a14d-00adb555f2bd","resolution":{"observed_at":"2026-08-10T23:09:11.165178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-08-17T01:19:18.409791Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-10T23:09:11.167403Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.167403Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:c85c084cbbfd515f7a6eb97b58940fe6ce346549ac86d0cfeb6ed5d61e6dfeea","observation_id":"038e844d-327d-484d-a14f-adef372e22a8","resolution":{"observed_at":"2026-08-10T23:09:11.167403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06396","last_updated":"2023-12-09T15:17:09Z","snapshot_observed_at":"2026-08-16T14:44:14.325437Z","submitted_at":"2023-11-10T20:57:43Z","title":"A comprehensive analysis of concept drift locality in data streams","version":2},"cited_work":{"arxiv_id":"2311.06396","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.06396","snapshot_observed_at":"2026-08-10T23:09:11.473838Z","title":"A comprehensive analysis of concept drift locality in data streams","venue":"cs.LG","work_id":"b4ca46b4-6661-401a-bd21-0d5796e347d6","year":2023},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.169703Z"},"links":{"cited_paper":"/paper/2311.06396","citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:0912f0b93d21a8499a2992058c03bf5c955ce6ec7028f4d0aca3385d556e4a12","observation_id":"153cb39e-ddcf-4d70-96b8-bd42de0ad7c8","resolution":{"observed_at":"2026-08-10T23:09:11.476860Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00212","last_updated":"2025-06-02T03:25:55Z","snapshot_observed_at":"2026-08-16T04:45:52.319427Z","submitted_at":"2025-04-30T23:09:44Z","title":"Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.00212","snapshot_observed_at":"2026-08-10T23:09:11.176776Z","title":"Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.176776Z"},"links":{"cited_paper":"/paper/2505.00212","citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:adf065919754fe2d1c3222e5d0f9dd684ca6f4da8e47bdc32c277ab301c8644d","observation_id":"4c0b8961-d3e1-400c-97f1-ef60d7ad02dc","resolution":{"observed_at":"2026-08-10T23:09:11.176776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:09:11.512393Z","title":"Scikit-learn: Machine Learning in Python,","venue":null,"work_id":"77141a45-6567-4e6f-bb61-70b7b42f9a5e","year":2011},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.179013Z"},"links":{"citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:5d2189e6c51ce2e936cfc838205415f8a8ab9a45c6b7f81eecefbb70d7afd74a","observation_id":"13349468-4178-4aaa-85da-9822ff98863d","resolution":{"observed_at":"2026-08-10T23:09:11.514994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:09:11.174561Z","title":"Available: https://arxiv.org/abs/2602.06443","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure","version":1},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:11.174561Z"},"links":{"citing_paper":"/paper/2608.06657"},"observation_digest":"sha256:3e1ded28ce0fb8169cbb3130b4ed18a48a7f99d9a1a4eb4f7165d08a5d7b303a","observation_id":"a9e4746f-76e8-4d64-8a0e-fc801048286d","resolution":{"observed_at":"2026-08-10T23:09:11.174561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.06657","last_updated":"2026-08-07T00:03:55Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-17T22:01:04.106714Z","submitted_at":"2026-08-07T00:03:55Z","title":"TRACE: A Multi-Layer Benchmark for Human AI Controller Coordination Under Drift and Failure"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":3,"verified_fuzzy":2},"total_outbound_references":18},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2608.06657."}