{"as_of":"2026-08-08T06:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:96e1726fe16ff3b05976e94c360cb17e1a724359fa58e368a974de9e76ac14af","coverage":[{"denominator":65,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":65,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:44:37.677071Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-18T12:35:01.443896Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T12:36:22.403104Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"cited_work":{"arxiv_id":"2505.14015","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.14015","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Autolaw: Enhancing legal compliance in large language models via case law generation and jury-inspired deliberation.arXiv preprint arXiv:2505.14015","venue":null,"work_id":"3fb423fb-c1f8-4cd5-865c-6fafb7ee3242","year":null},"citing_paper":{"arxiv_id":"2509.26100","last_updated":"2026-05-14T06:48:52Z","snapshot_observed_at":"2026-08-03T06:15:45.859457Z","submitted_at":"2025-09-30T11:20:41Z","title":"AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-18T12:35:01.443896Z"},"links":{"cited_paper":"/paper/2505.14015","citing_paper":"/paper/2509.26100"},"observation_digest":"sha256:0139a8a47645bf78adb5d9599a6c4dfaa7f69e0db90eda28f1a4dd5051e6f323","observation_id":"9087ef2b-6f19-42b1-8924-78895d26c02e","resolution":{"observed_at":"2026-05-18T12:36:22.406321Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.14015/citation-record","integrity":"/paper/2505.14015/integrity","json":"/paper/2505.14015/citation-record.json","paper":"/paper/2505.14015"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:44:48.292158Z","title":null,"venue":null,"work_id":"c57d624d-fa46-4a00-80bc-27a2e1f9811d","year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:29.392729Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:b391b05cb67099bba449ba679f1c7a3c6f00f46c1830942b94ec7800400a8641","observation_id":"7247335d-0a82-4454-8469-7e9926dac2e0","resolution":{"observed_at":"2026-08-07T15:44:48.384827Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11207","last_updated":"2024-01-26T05:37:33Z","snapshot_observed_at":"2026-07-06T17:18:16.042313Z","submitted_at":"2024-01-20T10:42:15Z","title":"Unfair TOS: An Automated Approach using Customized BERT","version":2},"cited_work":{"arxiv_id":"2401.11207","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.11207","snapshot_observed_at":"2026-08-07T15:44:42.435119Z","title":"Unfair TOS: An Automated Approach using Customized BERT","venue":"cs.CL","work_id":"9f3811bb-0ed5-4172-a359-e6200373ff33","year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:29.524825Z"},"links":{"cited_paper":"/paper/2401.11207","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:8bfa52fec23463fd012f7d1511408089c0a60caf3c6ea8a25cee2d7a7e307751","observation_id":"21600819-baf9-4222-9606-81667b550237","resolution":{"observed_at":"2026-08-07T15:44:42.534824Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:44:48.093566Z","title":"Rapid transit systems regulations, 2025","venue":null,"work_id":"001e9459-758e-4126-9d72-5394015eb2cb","year":2025},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:29.629160Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:2aeedca17e133ae29371ef3555277ee09056fefdcfa15c309aac0ac3ce7fe47a","observation_id":"4cbb8d18-334c-4cfa-b7d3-055e1aad1876","resolution":{"observed_at":"2026-08-07T15:44:48.174889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.02145","last_updated":"2021-10-15T19:10:43Z","snapshot_observed_at":"2026-08-03T16:37:49.472964Z","submitted_at":"2021-04-05T20:36:11Z","title":"What Will it Take to Fix Benchmarking in Natural Language Understanding?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.02145","snapshot_observed_at":"2026-08-07T15:44:29.744748Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:29.744748Z"},"links":{"cited_paper":"/paper/2104.02145","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:d1c03b281e9ce0ed6f01ea3ca558cbe8441d392d10c58af8eda2c7611c6e1f88","observation_id":"5161b5c4-8a12-4a33-a9a2-18c05efa0da6","resolution":{"observed_at":"2026-08-07T15:44:29.744748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02059","last_updated":"2019-06-05T14:56:06Z","snapshot_observed_at":"2026-08-03T01:43:19.305404Z","submitted_at":"2019-06-05T14:56:06Z","title":"Neural Legal Judgment Prediction in English","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02059","snapshot_observed_at":"2026-08-07T15:44:29.844771Z","title":"Chalkidis, I","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:29.844771Z"},"links":{"cited_paper":"/paper/1906.02059","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:e27964be069501a1d36cd47c7d59c023b512bc67c6287bf7e9837a14bbcbd634","observation_id":"9eff350c-e871-4cf4-a973-51740675abac","resolution":{"observed_at":"2026-08-07T15:44:29.844771Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.13084","last_updated":"2021-03-24T10:58:39Z","snapshot_observed_at":"2026-07-06T10:52:52.091985Z","submitted_at":"2021-03-24T10:58:39Z","title":"Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.13084","snapshot_observed_at":"2026-08-07T15:44:29.974848Z","title":"Chalkidis, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:29.974848Z"},"links":{"cited_paper":"/paper/2103.13084","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:6db173f6ed46b8df0faf2a2c9e56e8328b4e6a6656038b7264a198c71c29c5ef","observation_id":"40066a09-8f97-48ab-ac11-cbd7d673c1c1","resolution":{"observed_at":"2026-08-07T15:44:29.974848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.00976","last_updated":"2022-11-08T12:14:57Z","snapshot_observed_at":"2026-07-06T11:53:52.133195Z","submitted_at":"2021-10-03T10:50:51Z","title":"LexGLUE: A Benchmark Dataset for Legal Language Understanding in English","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.00976","snapshot_observed_at":"2026-08-07T15:44:30.084866Z","title":"Chalkidis, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:30.084866Z"},"links":{"cited_paper":"/paper/2110.00976","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:a1831d67ce6a81013968a94068cef19de8a0f0ef3683600c4f2965755b20fe50","observation_id":"a7928929-4296-4728-9bb8-d57fbb986c17","resolution":{"observed_at":"2026-08-07T15:44:30.084866Z","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":"2026-08-07T15:44:30.215932Z","title":"Chang, X","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:30.215932Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:682663b18562a6491675f4c31fdaa9fc7d499e02b9a8c672ff938059a7813c61","observation_id":"950002e5-3780-484f-8a98-17966edb49ca","resolution":{"observed_at":"2026-08-07T15:44:30.215932Z","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":"2026-08-07T15:44:47.794736Z","title":"Chase and L","venue":null,"work_id":"5c280c09-1f78-49ad-9739-3188ec086531","year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:30.305017Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:c0d64f212d0d1686c6d8a5432295ae429c46f465727ae8825abd264b56157944","observation_id":"9c001c3f-de65-4247-bdd5-3bd3dcc05b03","resolution":{"observed_at":"2026-08-07T15:44:47.904995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17311","last_updated":"2023-11-29T02:07:09Z","snapshot_observed_at":"2026-08-08T00:18:31.827291Z","submitted_at":"2023-11-29T02:07:09Z","title":"Universal Self-Consistency for Large Language Model Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17311","snapshot_observed_at":"2026-08-07T15:44:30.406491Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:30.406491Z"},"links":{"cited_paper":"/paper/2311.17311","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:5136130fe1845e4f29b36eddc32fea1f4f91fd0bc90b27942eef16f1fd5f565b","observation_id":"4fe2844c-a3f1-4679-9638-2417c3fd5176","resolution":{"observed_at":"2026-08-07T15:44:30.406491Z","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":"2026-08-07T15:44:47.523773Z","title":"Cheng, S","venue":null,"work_id":"f03d6e22-5b34-4a92-84d7-c249af16cb2b","year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:30.514729Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:a74e60eb88b703f52891f23325e1fc636bdc85aec19b68cd1539a5b07a914743","observation_id":"e056dbd0-85da-46de-ab5f-96d6ac8cc78b","resolution":{"observed_at":"2026-08-07T15:44:47.583935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:44:47.256451Z","title":null,"venue":null,"work_id":"df2445c7-8030-4969-9a61-c9b65c241350","year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:30.604832Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:70e901556c4677ff8034ed80a9fcd797afa14b3085b9e2313c8527836511566a","observation_id":"4b1d1a0c-8728-4b7f-bdf8-54eee40a46c4","resolution":{"observed_at":"2026-08-07T15:44:47.405076Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.00161","last_updated":"2019-04-16T21:22:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-03-01T05:32:01Z","title":"DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.00161","snapshot_observed_at":"2026-08-07T15:44:30.724738Z","title":null,"venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:30.724738Z"},"links":{"cited_paper":"/paper/1903.00161","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:56bbfb5b2adea3ea35cb3fa0fd0b1c58503bf3df6ec438d582be8a71323e172c","observation_id":"b8c75ba4-7a99-4926-8730-fd1a3e120c51","resolution":{"observed_at":"2026-08-07T15:44:30.724738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04700","last_updated":"2024-10-04T20:02:33Z","snapshot_observed_at":"2026-07-06T17:13:25.341853Z","submitted_at":"2024-01-09T18:03:15Z","title":"Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04700","snapshot_observed_at":"2026-08-07T15:44:30.835141Z","title":"Gu, H.-X","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:30.835141Z"},"links":{"cited_paper":"/paper/2401.04700","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:3831b09e85e3f736b21aa25dba907cdc4ee568895fd30b9715f0bf45ac0b955c","observation_id":"8cb2c3d8-1e43-468f-a148-ece2bccff244","resolution":{"observed_at":"2026-08-07T15:44:30.835141Z","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":"2026-08-07T15:44:47.061450Z","title":null,"venue":null,"work_id":"57381fdd-3e0d-4c9f-b37b-c8da3b18c050","year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:30.929174Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:c70025cf2265abc36b5102aa594958ba0b76fbe4954dd447b62e342539e9d9cc","observation_id":"88f52d9d-97b7-4058-8203-a0e7e0e9cc77","resolution":{"observed_at":"2026-08-07T15:44:47.136736Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:44:46.734933Z","title":null,"venue":null,"work_id":"df56e479-8f2d-43df-a188-0c5b6b682d38","year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:31.054811Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:91c67912b0792ddc9d356c2bc55f02088ffc059ba68d3d9233b76ebed99fcb19","observation_id":"f3e4343d-ce68-4aaf-b888-a46e546e6a76","resolution":{"observed_at":"2026-08-07T15:44:46.936574Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07959","last_updated":"2025-02-03T14:51:44Z","snapshot_observed_at":"2026-08-02T23:20:56.149691Z","submitted_at":"2024-10-10T14:23:51Z","title":"COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07959","snapshot_observed_at":"2026-08-07T15:44:31.174824Z","title":"Guldimann, A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:31.174824Z"},"links":{"cited_paper":"/paper/2410.07959","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:bed3f8a4490ff184267847769c433c3d92d2c3800d69c516fcd6803b86d96532","observation_id":"d12764bc-068e-4d6b-b48e-4ce9e13ea709","resolution":{"observed_at":"2026-08-07T15:44:31.174824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.07453","last_updated":"2024-06-10T17:50:14Z","snapshot_observed_at":"2026-08-06T16:18:25.129284Z","submitted_at":"2024-01-15T03:57:15Z","title":"Model Editing at Scale leads to Gradual and Catastrophic Forgetting","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.07453","snapshot_observed_at":"2026-08-07T15:44:31.275034Z","title":"Gupta, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:31.275034Z"},"links":{"cited_paper":"/paper/2401.07453","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:aeff633571e04ee7ed3c392c9811e74628a5d77e76d3c1d4c089215756c5fc46","observation_id":"a91ba5e2-37e9-4ccb-9ce0-3429f5c448e9","resolution":{"observed_at":"2026-08-07T15:44:31.275034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.14236","last_updated":"2024-10-09T03:37:30Z","snapshot_observed_at":"2026-08-05T03:37:19.701835Z","submitted_at":"2024-03-21T08:54:24Z","title":"A Unified Framework for Model Editing","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14236","snapshot_observed_at":"2026-08-07T15:44:31.443355Z","title":"Gupta, D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:31.443355Z"},"links":{"cited_paper":"/paper/2403.14236","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:096b2c2ee2043b407de013b9caeeee7334d1e2e4aecb49471a6569fc4f3c65eb","observation_id":"975aa8fa-a992-4a1c-a1be-00a3d3f00f0c","resolution":{"observed_at":"2026-08-07T15:44:31.443355Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.10964","last_updated":"2020-05-05T22:00:44Z","snapshot_observed_at":"2026-08-02T02:53:18.136026Z","submitted_at":"2020-04-23T04:21:19Z","title":"Don't Stop Pretraining: Adapt Language Models to Domains and Tasks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.10964","snapshot_observed_at":"2026-08-07T15:44:31.519859Z","title":"Gururangan, A","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:31.519859Z"},"links":{"cited_paper":"/paper/2004.10964","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:6830c88eb570c0722e5627a8b693158bd3d3b396003f1ab165330a35daee601f","observation_id":"56638672-e87b-4255-9b35-09b7f2ccd615","resolution":{"observed_at":"2026-08-07T15:44:31.519859Z","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":"2026-08-07T15:44:46.486082Z","title":"Hartvigsen, S","venue":null,"work_id":"73cae6fd-4945-47e3-8919-6085ca721bae","year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:31.685568Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:2a3e48d0782d2d6c382dca70fc29e10121b4e72055f49837b2ad7217e49d2251","observation_id":"a30226a7-3a24-4043-b9fb-8188a90e12d8","resolution":{"observed_at":"2026-08-07T15:44:46.625405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07691","last_updated":"2024-03-14T07:47:08Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-03-12T14:34:08Z","title":"ORPO: Monolithic Preference Optimization without Reference Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07691","snapshot_observed_at":"2026-08-07T15:44:31.814821Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:31.814821Z"},"links":{"cited_paper":"/paper/2403.07691","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:15076a613ab1f1df023a286bbfd109d01c49761b62503a67ab9447ef3ddced4b","observation_id":"c8a72d20-168f-4318-97bf-c08ad96ed6b8","resolution":{"observed_at":"2026-08-07T15:44:31.814821Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.00899","last_updated":"2018-10-22T17:36:07Z","snapshot_observed_at":"2026-08-02T15:33:17.783178Z","submitted_at":"2018-05-02T16:27:32Z","title":"AI safety via debate","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.00899","snapshot_observed_at":"2026-08-07T15:44:32.014818Z","title":"Irving, P","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:32.014818Z"},"links":{"cited_paper":"/paper/1805.00899","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:9ad002c3d8a7cd685642eebdd429b2e2c0f5906658149ce4337a42e64b53deb4","observation_id":"e6b1f491-6130-41a6-90f1-628f8b73c384","resolution":{"observed_at":"2026-08-07T15:44:32.014818Z","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":"2026-08-07T15:44:46.166113Z","title":"Jiang, Y","venue":null,"work_id":"ea0b6ad2-c673-41a5-b27e-a1822f72be1d","year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:32.113880Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:c426f8d51966e4017263e3e9f40d98bb13df138a3f4deebf74af6c0465c8203f","observation_id":"064ca0e9-114e-4142-ba77-d30629fd2e19","resolution":{"observed_at":"2026-08-07T15:44:46.235043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:44:45.856341Z","title":null,"venue":null,"work_id":"2e10c9e0-d889-481f-b31d-279c43a0bfcf","year":2017},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:32.195432Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:15b1b8954c3dd6916282d0480de5cdc69d660d083ab328580524a52872557b23","observation_id":"fbca9371-21f0-4139-a1b4-79cea8b624d3","resolution":{"observed_at":"2026-08-07T15:44:46.016568Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06782","last_updated":"2024-07-25T23:32:21Z","snapshot_observed_at":"2026-08-06T16:12:39.214839Z","submitted_at":"2024-02-09T21:05:01Z","title":"Debating with More Persuasive LLMs Leads to More Truthful Answers","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06782","snapshot_observed_at":"2026-08-07T15:44:32.321541Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:32.321541Z"},"links":{"cited_paper":"/paper/2402.06782","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:251ec7725202c3ca58448387d865846ff3ac6d3640b69b49297aa3125adcee4a","observation_id":"06e93608-3a79-4d69-bf07-c0063b1a6d72","resolution":{"observed_at":"2026-08-07T15:44:32.321541Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.08082","last_updated":"2022-06-16T10:52:13Z","snapshot_observed_at":"2026-08-07T15:47:50.254643Z","submitted_at":"2022-06-16T10:52:13Z","title":"Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.08082","snapshot_observed_at":"2026-08-07T15:44:32.474657Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:32.474657Z"},"links":{"cited_paper":"/paper/2206.08082","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:41fc1455d93204b085949af5e3dc58e91870b920d89c111ce85dcbf6d292aa1b","observation_id":"80f18f7e-4beb-4140-85ab-dfeafcfe8d73","resolution":{"observed_at":"2026-08-07T15:44:32.474657Z","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":"2026-08-07T15:44:45.391360Z","title":"Kojima, S","venue":null,"work_id":"3047f2dd-9a60-4c4a-8ff0-cc2568e26f01","year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:32.623566Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:1c5ea397b0c6d60716d6e4ef6c777c8878774151ac45ec171a39e8bf33d75f38","observation_id":"b9fe08c8-d9ba-4670-bfd3-6211ae38b990","resolution":{"observed_at":"2026-08-07T15:44:45.575197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:44:45.154745Z","title":null,"venue":null,"work_id":"d3bb92e8-bc69-4ea8-9432-ccf7e84794b0","year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:32.734801Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:a53e3f3d8199575b37eb6056883b09b9b031ae550949bb6a72726c64b54ce2c5","observation_id":"7bb2f2e6-3c13-46e5-8699-8abeb4d6afb7","resolution":{"observed_at":"2026-08-07T15:44:45.254742Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18785","last_updated":"2024-10-24T14:36:48Z","snapshot_observed_at":"2026-07-06T19:39:06.300432Z","submitted_at":"2024-10-24T14:36:48Z","title":"Should We Really Edit Language Models? On the Evaluation of Edited Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18785","snapshot_observed_at":"2026-08-07T15:44:32.886813Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:32.886813Z"},"links":{"cited_paper":"/paper/2410.18785","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:64f7c609efcad897ebf5e29b40da78170ef4c971def07d9dbe760d41f224283f","observation_id":"92e33e46-472e-4fe8-97c2-e1d76f250906","resolution":{"observed_at":"2026-08-07T15:44:32.886813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08742","last_updated":"2024-03-11T11:35:48Z","snapshot_observed_at":"2026-07-06T16:07:06.809394Z","submitted_at":"2023-08-17T02:33:43Z","title":"PMET: Precise Model Editing in a Transformer","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08742","snapshot_observed_at":"2026-08-07T15:44:33.047505Z","title":"Li et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:33.047505Z"},"links":{"cited_paper":"/paper/2308.08742","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:2dec02ee178d2d607eed0b86a79bf29b229e9714295ad8012a1419bd40f68bbf","observation_id":"8b72b3f5-1ea1-4ebe-96ac-de5cfa7d3832","resolution":{"observed_at":"2026-08-07T15:44:33.047505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02336","last_updated":"2023-05-24T04:08:08Z","snapshot_observed_at":"2026-07-06T13:17:41.206878Z","submitted_at":"2022-06-06T03:38:36Z","title":"Making Large Language Models Better Reasoners with Step-Aware Verifier","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.02336","snapshot_observed_at":"2026-08-07T15:44:33.398334Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:33.398334Z"},"links":{"cited_paper":"/paper/2206.02336","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:04eef773f05ce02742dc5ae0371f0e9b970cae6f8534975c64722e291fd4fc32","observation_id":"37612b5a-76f8-4b62-9784-90f726004da5","resolution":{"observed_at":"2026-08-07T15:44:33.398334Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06575","last_updated":"2024-08-17T14:31:42Z","snapshot_observed_at":"2026-07-06T15:25:51.635688Z","submitted_at":"2023-05-11T05:19:47Z","title":"Chain-of-Dictionary Prompting Elicits Translation in Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06575","snapshot_observed_at":"2026-08-07T15:44:33.605130Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:33.605130Z"},"links":{"cited_paper":"/paper/2305.06575","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:54bf0eb7cd6fbec6b1685abed8e055323cb6cb83213ea2c6d2c17dad3f9a3cac","observation_id":"20ee13b7-e2d9-4c36-8e63-1a6b4e7cfdc3","resolution":{"observed_at":"2026-08-07T15:44:33.605130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02119","last_updated":"2024-10-31T15:57:42Z","snapshot_observed_at":"2026-07-06T16:56:46.051958Z","submitted_at":"2023-12-04T18:49:23Z","title":"Tree of Attacks: Jailbreaking Black-Box LLMs Automatically","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02119","snapshot_observed_at":"2026-08-07T15:44:33.763604Z","title":"Mehrotra, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:33.763604Z"},"links":{"cited_paper":"/paper/2312.02119","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:ee72c5130d682197ac4a5a42ce538d81f828d08076b36a759826a56a5adfa4ce","observation_id":"09d04ff8-f73a-41a5-a420-98974740b382","resolution":{"observed_at":"2026-08-07T15:44:33.763604Z","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":"2026-08-07T15:44:44.501229Z","title":null,"venue":null,"work_id":"a13d11bc-0abb-4bf0-829a-6bbab0d33155","year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:33.894767Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:8423130e145f84861091afb6f248b3bd4104666a0dbf70399441228ca9ade6b5","observation_id":"e1055890-ca98-4ef2-8938-2b7b0f269e65","resolution":{"observed_at":"2026-08-07T15:44:44.625379Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:44:44.286647Z","title":null,"venue":null,"work_id":"521f7624-5247-40ba-afb4-44692697e1a0","year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:34.016544Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:96361379cd14f40a2f31ac175b87b25c60f5bb9e2a53efbd0e9c110b3bf1935a","observation_id":"738ef0ec-2700-40fd-b2a6-aca504a2432c","resolution":{"observed_at":"2026-08-07T15:44:44.354751Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08702","last_updated":"2023-11-15T05:05:40Z","snapshot_observed_at":"2026-07-06T16:47:45.504109Z","submitted_at":"2023-11-15T05:05:40Z","title":"Debate Helps Supervise Unreliable Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08702","snapshot_observed_at":"2026-08-07T15:44:34.164341Z","title":"Michael, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:34.164341Z"},"links":{"cited_paper":"/paper/2311.08702","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:88a26a98d43ba60a37b604dd52da27a6bf0cbd8e36c0a3e20a31bb11a217b4f8","observation_id":"48d8b6e2-2819-425e-a5c2-3175e8f9f7e9","resolution":{"observed_at":"2026-08-07T15:44:34.164341Z","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":"2026-08-07T15:44:43.984440Z","title":"Mitchell, C","venue":null,"work_id":"74769420-0d7e-4279-b2a4-295def1016e5","year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:34.274743Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:121d3c912b5a8d8c1af288bda454f2db0d85f09cc2669c8bb2920afb8d3376bc","observation_id":"d3404b2a-bb76-4d4b-b76d-62d70d98a946","resolution":{"observed_at":"2026-08-07T15:44:44.150787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00454","last_updated":"2024-10-01T07:18:34Z","snapshot_observed_at":"2026-07-06T19:25:06.162911Z","submitted_at":"2024-10-01T07:18:34Z","title":"UniAdapt: A Universal Adapter for Knowledge Calibration","version":1},"cited_work":{"arxiv_id":"2410.00454","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.00454","snapshot_observed_at":"2026-08-07T15:44:40.175107Z","title":"UniAdapt: A Universal Adapter for Knowledge Calibration","venue":"cs.LG","work_id":"68a7d23c-018d-46e3-91f4-c79252b160e4","year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:34.454265Z"},"links":{"cited_paper":"/paper/2410.00454","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:ebda6c40da0b7a547838bec37c4a49fce989989eec9f97e97145c1c935de24a8","observation_id":"3f494adb-90da-4af7-8e3a-3f10545403a5","resolution":{"observed_at":"2026-08-07T15:44:40.290135Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:44:34.612802Z","title":"Ouyang, J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:34.612802Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:b2c54dc969d16b3967c19dd03dea00d5700172306d04f0d8362f03b74b7acd60","observation_id":"b70f0f31-64cd-4c41-94c1-6b43de2084b6","resolution":{"observed_at":"2026-08-07T15:44:34.612802Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.03286","last_updated":"2022-02-07T15:22:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-02-07T15:22:17Z","title":"Red Teaming Language Models with Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.03286","snapshot_observed_at":"2026-08-07T15:44:34.752374Z","title":"Perez, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:34.752374Z"},"links":{"cited_paper":"/paper/2202.03286","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:0e4999b36c994c636ccf8ce746a9fefbda249ce198db40728ab3e960f40e3d07","observation_id":"1a51543b-bc3b-4d61-a04d-51f6712a87ed","resolution":{"observed_at":"2026-08-07T15:44:34.752374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03350","last_updated":"2023-10-17T18:57:17Z","snapshot_observed_at":"2026-07-31T15:52:06.089691Z","submitted_at":"2022-10-07T06:50:23Z","title":"Measuring and Narrowing the Compositionality Gap in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03350","snapshot_observed_at":"2026-08-07T15:44:34.924840Z","title":"Press, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:34.924840Z"},"links":{"cited_paper":"/paper/2210.03350","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:87debfe730f11d830a1ab2392ff4b40d75f63284c94923ab65c9c98a25231c46","observation_id":"1cb88350-9ca5-4d93-b38e-f42585930aee","resolution":{"observed_at":"2026-08-07T15:44:34.924840Z","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":"2026-08-07T15:44:43.801004Z","title":"Rafailov, A","venue":null,"work_id":"63083b66-2178-4047-a203-c3c711b8141f","year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:35.024865Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:fabbd08b4ee1dd45e986be87fa9e9e3383ff32b4627f2b8c572b48c7cb3e5c5c","observation_id":"f81f5ed6-c2cd-469f-b6fb-2fd5113df9d3","resolution":{"observed_at":"2026-08-07T15:44:43.874750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:44:35.172088Z","title":"Rafailov, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:35.172088Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:3b051aaa79b19eb860d1fe9d5c4ce04f5278838dad7cafd57933abe004f0edf8","observation_id":"53a5de5b-942f-4d91-b782-2aace0dcdaf5","resolution":{"observed_at":"2026-08-07T15:44:35.172088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-07T15:44:35.309440Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:35.309440Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:4bdd54b2d261e8dcbfd357cdca25d4b794a694c86b37876dccd23bea01ba83e2","observation_id":"20d7b2ee-4aa6-4b57-8fd1-8bf9f1f640ee","resolution":{"observed_at":"2026-08-07T15:44:35.309440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01975","last_updated":"2022-09-05T14:01:15Z","snapshot_observed_at":"2026-07-06T13:49:00.465047Z","submitted_at":"2022-09-05T14:01:15Z","title":"Selective Annotation Makes Language Models Better Few-Shot Learners","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01975","snapshot_observed_at":"2026-08-07T15:44:35.445205Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:35.445205Z"},"links":{"cited_paper":"/paper/2209.01975","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:317955c1038d56e5cce3a225ae95eb1054aead6355289976dd7ccdf081fc2f15","observation_id":"ff90a715-450e-4fd5-8e3f-62c82492fc60","resolution":{"observed_at":"2026-08-07T15:44:35.445205Z","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":"2026-08-07T15:44:43.573873Z","title":null,"venue":null,"work_id":"4972d331-81e0-40ba-81ee-15fd5cc17369","year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:35.515086Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:02e3296814dc4839365ad4b599d6b7fb11591a6ed49ef88f5cd14f40d71a38cb","observation_id":"77ba7ed5-64fe-4289-83d0-8b402693cf54","resolution":{"observed_at":"2026-08-07T15:44:43.632980Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:44:43.394948Z","title":"Tuggener, P","venue":null,"work_id":"179cd297-93ec-4c17-a914-cd042b2d31da","year":2020},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:35.628184Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:7e1bffbe3d9d8cc987e2762090f516c3191ec55b51135bd26cf6426c5c5284e2","observation_id":"ca39aa72-e407-44dc-b4ad-9d64a5959832","resolution":{"observed_at":"2026-08-07T15:44:43.474959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13212","last_updated":"2024-06-05T19:50:19Z","snapshot_observed_at":"2026-07-06T17:33:00.716054Z","submitted_at":"2024-02-20T18:22:38Z","title":"Soft Self-Consistency Improves Language Model Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13212","snapshot_observed_at":"2026-08-07T15:44:35.719367Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:35.719367Z"},"links":{"cited_paper":"/paper/2402.13212","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:0649c47a86b0c1de086253e3ce6cd9b3f403b2ced8d8251205548fb03a364695","observation_id":"f134ede9-2208-40fd-9818-f9904e380b0e","resolution":{"observed_at":"2026-08-07T15:44:35.719367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11792","last_updated":"2023-10-15T12:54:48Z","snapshot_observed_at":"2026-07-06T15:29:47.124222Z","submitted_at":"2023-05-19T16:27:43Z","title":"Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11792","snapshot_observed_at":"2026-08-07T15:44:35.854809Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:35.854809Z"},"links":{"cited_paper":"/paper/2305.11792","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:5ae9e522bf5236fe201585f8ab1e72f5af59a2c382be706a95cd543c423c5801","observation_id":"49f7b1c1-3ae8-4df4-89d0-93d05f5b38af","resolution":{"observed_at":"2026-08-07T15:44:35.854809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06427","last_updated":"2024-06-03T14:59:11Z","snapshot_observed_at":"2026-07-06T15:41:05.902201Z","submitted_at":"2023-06-10T12:42:36Z","title":"Boosting Language Models Reasoning with Chain-of-Knowledge Prompting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.06427","snapshot_observed_at":"2026-08-07T15:44:35.955444Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:35.955444Z"},"links":{"cited_paper":"/paper/2306.06427","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:5c0cbfad4eede65cc283d692c13fb702e0ea2505362a1344312ccbd76bca00ac","observation_id":"01f3a777-bccc-40d4-932e-efff53fce652","resolution":{"observed_at":"2026-08-07T15:44:35.955444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.15585","last_updated":"2025-06-09T02:36:20Z","snapshot_observed_at":"2026-08-07T16:00:23.244876Z","submitted_at":"2025-04-22T05:02:49Z","title":"A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.15585","snapshot_observed_at":"2026-08-07T15:44:36.085184Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:36.085184Z"},"links":{"cited_paper":"/paper/2504.15585","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:3efc50ecc60a62bf2937c414873ecf8ed78dec1f1f27e878d6267691c9170175","observation_id":"6e2583d8-e779-42d7-b879-4e1ab81c1394","resolution":{"observed_at":"2026-08-07T15:44:36.085184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14768","last_updated":"2024-12-19T02:18:54Z","snapshot_observed_at":"2026-08-08T05:23:08.727880Z","submitted_at":"2024-05-23T16:35:52Z","title":"WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14768","snapshot_observed_at":"2026-08-07T15:44:36.184817Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:36.184817Z"},"links":{"cited_paper":"/paper/2405.14768","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:8fb9278b652517cb7e7059c10be9f3b929eb1991635109fc5be452dbb77ff0ab","observation_id":"6a989074-efb8-44ee-8131-38bff7cd2341","resolution":{"observed_at":"2026-08-07T15:44:36.184817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20030","last_updated":"2024-06-28T16:17:41Z","snapshot_observed_at":"2026-07-06T18:38:33.882786Z","submitted_at":"2024-06-28T16:17:41Z","title":"LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20030","snapshot_observed_at":"2026-08-07T15:44:36.284825Z","title":"Wang and P","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:36.284825Z"},"links":{"cited_paper":"/paper/2406.20030","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:886add1aa8cc3b96cb1f2dadd0ea77b14d138019568c137caf5d7390113299e8","observation_id":"fc5e7b5c-f91e-47ac-8787-fdc987607890","resolution":{"observed_at":"2026-08-07T15:44:36.284825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19086","last_updated":"2024-06-02T02:32:31Z","snapshot_observed_at":"2026-07-06T18:21:57.091728Z","submitted_at":"2024-05-29T13:49:44Z","title":"MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19086","snapshot_observed_at":"2026-08-07T15:44:36.382919Z","title":"Wang and P","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:36.382919Z"},"links":{"cited_paper":"/paper/2405.19086","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:0706fbbe7117b868ce119b138f0faffc57179f6857124f57133800c2123dfb16","observation_id":"216b3c8a-152f-448f-90c2-11b557709b73","resolution":{"observed_at":"2026-08-07T15:44:36.382919Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11171","last_updated":"2023-03-07T17:57:37Z","snapshot_observed_at":"2026-07-06T12:50:22.773056Z","submitted_at":"2022-03-21T17:48:52Z","title":"Self-Consistency Improves Chain of Thought Reasoning in Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11171","snapshot_observed_at":"2026-08-07T15:44:36.534881Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:36.534881Z"},"links":{"cited_paper":"/paper/2203.11171","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:e5177f921024b030a73dda3e4c5e225609fd262d93de0ea335f0434ae8fea742","observation_id":"a54f0538-afc4-4b09-9a25-277f5d15e0bf","resolution":{"observed_at":"2026-08-07T15:44:36.534881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08155","last_updated":"2023-10-03T20:47:10Z","snapshot_observed_at":"2026-07-31T19:03:03.494918Z","submitted_at":"2023-08-16T05:57:52Z","title":"AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08155","snapshot_observed_at":"2026-08-07T15:44:36.671264Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:36.671264Z"},"links":{"cited_paper":"/paper/2308.08155","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:8aecbce9ed352bb6a90bc4a01bbcf8f243a5161d0df8ecf2c2a96035048c6c6f","observation_id":"8eebfd99-b86f-4f24-845c-3a3b109725dc","resolution":{"observed_at":"2026-08-07T15:44:36.671264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08417","last_updated":"2024-06-03T01:28:06Z","snapshot_observed_at":"2026-07-06T17:16:13.055978Z","submitted_at":"2024-01-16T15:04:51Z","title":"Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08417","snapshot_observed_at":"2026-08-07T15:44:36.826281Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:36.826281Z"},"links":{"cited_paper":"/paper/2401.08417","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:33dddae99a96d394072ae5ded82dcb91a97c8da6046fc93c61342f1a5a80f63b","observation_id":"95f54e3b-6556-475f-9b43-978d43070305","resolution":{"observed_at":"2026-08-07T15:44:36.826281Z","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":"2026-08-07T15:44:36.904818Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:36.904818Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:434d1769baa1dbb4574121f7e6287f15877adb8bd3b33dccdc9ea4c0ef3abdbd","observation_id":"de37bb04-3c96-47a9-b531-94c6eba97a24","resolution":{"observed_at":"2026-08-07T15:44:36.904818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.10253","last_updated":"2024-06-27T16:01:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-19T02:19:48Z","title":"GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.10253","snapshot_observed_at":"2026-08-07T15:44:37.034806Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:37.034806Z"},"links":{"cited_paper":"/paper/2309.10253","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:fcd9594f3b4738573a3ce3aef4ea62bd994130f340fdb0b92caf7f6173e1ee0e","observation_id":"3c102c70-b362-44a0-a9f1-7449abaddfb7","resolution":{"observed_at":"2026-08-07T15:44:37.034806Z","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":"2026-08-07T15:44:43.030166Z","title":null,"venue":null,"work_id":"c122d8b7-5cc8-4bef-a3e5-274fe418efc3","year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:37.254837Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:0a4c5422448ff4418a40daf28d8cd8ffc0329cec3af0ca465f5d58be58336da3","observation_id":"45bdeb3b-2812-481b-8b48-28e4a965848e","resolution":{"observed_at":"2026-08-07T15:44:43.168672Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03493","last_updated":"2022-10-07T12:28:21Z","snapshot_observed_at":"2026-07-06T14:01:50.333970Z","submitted_at":"2022-10-07T12:28:21Z","title":"Automatic Chain of Thought Prompting in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03493","snapshot_observed_at":"2026-08-07T15:44:37.360605Z","title":"Zhang, A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:37.360605Z"},"links":{"cited_paper":"/paper/2210.03493","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:494157ca4a817d994c8e12acf80d4ad45eb46c577824f416c5da66ae3c22b83f","observation_id":"8942558c-693d-41d1-93c8-aa22b577bdf6","resolution":{"observed_at":"2026-08-07T15:44:37.360605Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14125","last_updated":"2024-11-07T12:07:07Z","snapshot_observed_at":"2026-07-06T18:18:16.530605Z","submitted_at":"2024-05-23T02:57:42Z","title":"ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14125","snapshot_observed_at":"2026-08-07T15:44:37.514951Z","title":"Zheng, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:37.514951Z"},"links":{"cited_paper":"/paper/2405.14125","citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:57d28a59e3a20a7b6ec5b62499a8b1c6444a6ae0d8ebfad196ee7f3698dd0c1c","observation_id":"7d11f460-af10-4a1d-9ed5-1dc11ca9e0de","resolution":{"observed_at":"2026-08-07T15:44:37.514951Z","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":"2026-08-07T15:44:42.690896Z","title":"Jason eats a burger on train","venue":null,"work_id":"29b1abd2-3353-4417-9a12-cc32fac3d2aa","year":2021},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:37.677071Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:7882bdcf0638ab11f4b17f821ac8538b34ee1b890b1056725bdd3b1632754c7a","observation_id":"db94feb9-7413-4a1c-89ae-4fb608dcd4f1","resolution":{"observed_at":"2026-08-07T15:44:42.874304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:44:44.786752Z","title":null,"venue":null,"work_id":"a345dbd0-8b50-40dc-bc51-b1741ead73d7","year":2023},"citing_paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T15:44:33.215993Z"},"links":{"citing_paper":"/paper/2505.14015"},"observation_digest":"sha256:bc5583e9cc721da1fa5540526561e5ffc60ba95886b39f5e69d31d22f5402f05","observation_id":"03a6f583-5513-4f88-a652-13be331d70f5","resolution":{"observed_at":"2026-08-07T15:44:44.943445Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.14015","last_updated":"2025-06-19T10:05:42Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T15:40:14.156850Z","submitted_at":"2025-05-20T07:09:13Z","title":"AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation"},"reference_resolution":{"displayed":65,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":53,"verified_exact":2,"verified_fuzzy":10},"total_outbound_references":65},"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 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2505.14015."}