{"as_of":"2026-08-08T12:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0d0a0881338b807dce4d94984b890dc8301d25d0a927eb9f17a6ab154528846b","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":"2026-08-01T14:11:09.621630Z","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":"2026-08-08T06:32:00.761636+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/2607.18867/citation-record","integrity":"/paper/2607.18867/integrity","json":"/paper/2607.18867/citation-record.json","paper":"/paper/2607.18867"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T14:11:08.060809Z","title":"Look-Ahead-Bench: a standardized benchmark of look-ahead bias in point-in- time LLMs for finance.arXiv preprint arXiv:2601.13770,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:08.060809Z"},"links":{"citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:510fe33252bc024213fbb9ce9aace71dcb292c21bcdf1afda11a0f6a3da52ec4","observation_id":"2fc012af-c94f-4b25-88f4-cb4b8e3e3cd9","resolution":{"observed_at":"2026-08-01T14:11:08.060809Z","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":"2026-08-01T14:11:08.384295Z","title":"Crane, Akhil Karra, and Paul E","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:08.384295Z"},"links":{"citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:3988931dad07b2a86ff407bf155ea66571dc458181576a89baa1dc733792616b","observation_id":"0e0c2be8-287d-45ef-bad0-0d4376f5c5ff","resolution":{"observed_at":"2026-08-01T14:11:08.384295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09141","last_updated":"2024-07-12T10:19:02Z","snapshot_observed_at":"2026-08-08T04:56:21.851774Z","submitted_at":"2024-07-12T10:19:02Z","title":"Accuracy is Not All You Need","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.09141","snapshot_observed_at":"2026-08-01T14:11:08.501659Z","title":"Alexander Eliseev and Sergei Seleznev","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:08.501659Z"},"links":{"cited_paper":"/paper/2407.09141","citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:9b96835c4a08ba5e20e608600d0d55ff19a9d4a546d5a3382e976787246ade00","observation_id":"b52f2067-7f30-41f7-b43a-93d9acdc4c1a","resolution":{"observed_at":"2026-08-01T14:11:08.501659Z","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":"2026-08-01T14:11:08.570202Z","title":"Quantized but deceptive? A multi-dimensional truthfulness evaluation of quantized LLMs","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:08.570202Z"},"links":{"citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:d6c9176742eb302d87e1bede0d2485f715bb1f60e8bd2423845ca156e89d5bb0","observation_id":"c20a78d0-35a6-459a-b695-fa1ae6ad7078","resolution":{"observed_at":"2026-08-01T14:11:08.570202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.19432","last_updated":"2025-08-26T21:01:45Z","snapshot_observed_at":"2026-08-05T15:52:29.325697Z","submitted_at":"2025-08-26T21:01:45Z","title":"Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.19432","snapshot_observed_at":"2026-08-01T14:11:08.660471Z","title":"Zhenyu Gao, Wenxi Jiang, and Yutong Yan","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:08.660471Z"},"links":{"cited_paper":"/paper/2508.19432","citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:d27c9bde2ef46852d2b21deba9a0470fe0e2b3496578cc237dcb8a54b4d1ab49","observation_id":"3cf375ff-4c82-4809-b00d-3f70caac7fc8","resolution":{"observed_at":"2026-08-01T14:11:08.660471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.17322","last_updated":"2023-09-29T15:30:32Z","snapshot_observed_at":"2026-08-05T03:22:28.843127Z","submitted_at":"2023-09-29T15:30:32Z","title":"Assessing Look-Ahead Bias in Stock Return Predictions Generated By GPT Sentiment Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.17322","snapshot_observed_at":"2026-08-01T14:11:08.763498Z","title":"Assessing look-ahead bias in stock return predictions generated by GPT sentiment analysis.arXiv preprint arXiv:2309.17322,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:08.763498Z"},"links":{"cited_paper":"/paper/2309.17322","citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:64d5d60879d596578324feec3cdb46a822b75a96740a4767fe4ce01295b9bb60","observation_id":"6ce707ba-cd9d-46da-bbce-4ab59480bf7d","resolution":{"observed_at":"2026-08-01T14:11:08.763498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18158","last_updated":"2024-06-06T07:30:44Z","snapshot_observed_at":"2026-08-08T01:30:27.397319Z","submitted_at":"2024-02-28T08:43:05Z","title":"Evaluating Quantized Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18158","snapshot_observed_at":"2026-08-01T14:11:08.947017Z","title":"Weixian Waylon Li, Mengyu Wang, and Tiejun Ma","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:08.947017Z"},"links":{"cited_paper":"/paper/2402.18158","citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:54776dbe089b9fbbb6a22dffda8f7d54156e567bb5ac2ed3169cc2c862d1faff","observation_id":"77a50fc8-4e32-4fd5-abfa-13ed2c24cc7d","resolution":{"observed_at":"2026-08-01T14:11:08.947017Z","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":"2026-08-01T14:11:09.038853Z","title":"Simulated ignorance fails: A systematic study of LLM behaviors on forecasting problems before model knowledge cutoff","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:09.038853Z"},"links":{"citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:22c65ba5a1b756dfe78003583b6209d357e511d10a057c145a2dc715703b2127","observation_id":"2ac61275-aa59-4e43-a98d-faf89977943d","resolution":{"observed_at":"2026-08-01T14:11:09.038853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00978","last_updated":"2026-04-25T06:58:16Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-06-01T17:59:10Z","title":"AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00978","snapshot_observed_at":"2026-08-01T14:11:09.149945Z","title":"Yachuan Liu, Xiaochun Wei, Lin Shi, Xinnuo Li, Bohan Zhang, Paramveer Dhillon, and Qiaozhu Mei","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:09.149945Z"},"links":{"cited_paper":"/paper/2306.00978","citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:181c6468ad4ae8f1aa5ca7937d63b24d79d7954859e2021fb05f04d46b9e042d","observation_id":"ad402403-6164-468c-8a1f-8e843a17f0a9","resolution":{"observed_at":"2026-08-01T14:11:09.149945Z","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":"2026-08-01T14:11:09.260386Z","title":"The memorization problem: Can we trust LLMs’ economic forecasts?arXiv preprint arXiv:2504.14765,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:09.260386Z"},"links":{"citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:863a750698d3c3a2c727dceb9e50f02e110be9c7de8df0b0624222a46ba5645c","observation_id":"b5b40a1e-507f-4655-8657-45bed4c96385","resolution":{"observed_at":"2026-08-01T14:11:09.260386Z","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":"2026-08-01T14:11:09.351333Z","title":"A fast and effective solution to the problem of look-ahead bias in LLMs.arXiv preprint arXiv:2512.06607,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:09.351333Z"},"links":{"citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:d0be967539210f7ca80c18a80c9ea9fe6081a51f8463aee91df7a2b0be8a4fed","observation_id":"a44acd4f-3841-489f-a40b-92fae6fdf841","resolution":{"observed_at":"2026-08-01T14:11:09.351333Z","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":"2026-08-01T14:11:09.461805Z","title":"Piotr Pęzik, Konrad Kaczyński, Maria Szymańska, Filip Żarnecki, Zuzanna Deckert, Jakub Kwiatkowski, and Wojciech Janowski","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:09.461805Z"},"links":{"citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:81446bf7708f7fa661b248848f54e816c83eb4267f34770e9fb929470ca1f5b5","observation_id":"855d099e-3faf-416f-a02f-4e8499625226","resolution":{"observed_at":"2026-08-01T14:11:09.461805Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2603.11838","last_updated":"2026-07-23T15:24:41Z","snapshot_observed_at":"2026-08-07T10:07:46.710244Z","submitted_at":"2026-03-12T12:04:43Z","title":"DatedGPT: Preventing Lookahead Bias in Large Language Models with Time-Aware Pretraining","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.11838","snapshot_observed_at":"2026-08-01T14:11:09.527469Z","title":"DatedGPT: Preventing looka- head bias in large language models with time-aware pretraining.arXiv preprint arXiv:2603.11838,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:09.527469Z"},"links":{"cited_paper":"/paper/2603.11838","citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:451f53c024f05dc0cc795acd0fc7116efce17ec4f770949a78a19d747b4d5b75","observation_id":"8b520155-9424-4fd1-a87a-614b65b2b86c","resolution":{"observed_at":"2026-08-01T14:11:09.527469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.28359","last_updated":"2026-05-27T11:57:10Z","snapshot_observed_at":"2026-08-05T04:40:40.353354Z","submitted_at":"2026-05-27T11:57:10Z","title":"From Knowing to Doing: A Memory-Controlled Benchmark for LLM Trading Agents on Stock Markets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.28359","snapshot_observed_at":"2026-08-01T14:11:09.621630Z","title":"From knowing to doing: A memory-controlled benchmark for LLM trading agents on stock markets.arXiv preprint arXiv:2605.28359,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:09.621630Z"},"links":{"cited_paper":"/paper/2605.28359","citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:48876dbef840b95097e86dbf41face158cd633268a373c4eee9623fbdc227297","observation_id":"7217eb12-62b1-4b9d-83a7-f77a7777861d","resolution":{"observed_at":"2026-08-01T14:11:09.621630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.21206","last_updated":"2025-07-06T01:02:58Z","snapshot_observed_at":"2026-08-07T17:39:15.439590Z","submitted_at":"2025-02-28T16:25:50Z","title":"Chronologically Consistent Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.21206","snapshot_observed_at":"2026-08-01T14:11:08.863096Z","title":"Chronologically consistent large language models.arXiv preprint arXiv:2502.21206, 2025a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:08.863096Z"},"links":{"cited_paper":"/paper/2502.21206","citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:7758ff6b19f6646a148c0dc7ae545236141a9cb884bef20cc2efca35ea657a56","observation_id":"93dc34b1-6a49-4f4d-b33c-aae28e702dbf","resolution":{"observed_at":"2026-08-01T14:11:08.863096Z","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":"2026-08-01T14:11:08.278154Z","title":"Jeffrey Cheng, Marc Marone, Orion Weller, Dawn Lawrie, Daniel Khashabi, and Benjamin Van Durme","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:08.278154Z"},"links":{"citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:980d4c903568133635d90edcd79ea3e612a57641bf53cde122f79858744dbc03","observation_id":"38b4e612-a41f-4358-adb1-37e129a9c60f","resolution":{"observed_at":"2026-08-01T14:11:08.278154Z","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":"2026-08-01T14:11:08.395003Z","title":"Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra, and Ramachandran Ramjee","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:08.395003Z"},"links":{"citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:7cde64d286ad854eae445bea270cf91693787e36a71b8a2ebdca92520e228cf6","observation_id":"c9d34508-f4d8-44e1-9588-329ff8f0f2cf","resolution":{"observed_at":"2026-08-01T14:11:08.395003Z","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":"2026-08-01T14:11:08.208231Z","title":"Black-box access is insufficient for rigorous AI audits","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks","version":1},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-01T14:11:08.208231Z"},"links":{"citing_paper":"/paper/2607.18867"},"observation_digest":"sha256:385fd289b5fca7067ff5745ba7cdbc10e302015f45a5bf998191b52c7844971e","observation_id":"cea71c6d-cdb0-4077-9f57-cc0a0ed2aceb","resolution":{"observed_at":"2026-08-01T14:11:08.208231Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.18867","last_updated":"2026-07-21T08:58:36Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T05:58:10.612475Z","submitted_at":"2026-07-21T08:58:36Z","title":"HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":0,"verified_fuzzy":0},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.18867."}