{"as_of":"2026-08-08T18:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f0fe4402641df82240f107225f87fe4fd6c0b148e6ecf708a43b58dc64eefa60","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":32,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:14:47.100923Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":7,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2407.13193","last_updated":"2026-05-19T15:04:52Z","snapshot_observed_at":"2026-07-06T18:48:16.629078Z","submitted_at":"2024-07-18T06:06:53Z","title":"Retrieval-Augmented Generation for Natural Language Processing: A Survey","version":4},"reference_index":138,"source":"pdf_text","source_observed_at":"2026-05-23T23:06:41.081461Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2407.13193"},"observation_digest":"sha256:4a66d4516b32139e804711ce8b58612a2c671775361203dad15cfed8b93f1ece","observation_id":"e8e1279e-a2b5-472a-a277-c45ee79e063e","resolution":{"observed_at":"2026-05-23T23:08:35.530939Z","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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2502.13957","last_updated":"2026-05-16T17:37:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:56:03Z","title":"Supervising the search process produces reliable and generalizable information-seeking agents","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-23T02:18:27.204122Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2502.13957"},"observation_digest":"sha256:0963589850c46503203b210795a00771180c501f837e3e028a6a85d9d6a86f06","observation_id":"09e88e00-81f4-463e-8ade-d3cd147980a3","resolution":{"observed_at":"2026-05-23T02:22:25.411929Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2505.00039","last_updated":"2025-09-11T14:34:52Z","snapshot_observed_at":"2026-07-06T21:17:14.657775Z","submitted_at":"2025-04-29T18:36:57Z","title":"An Ontology-Driven Graph RAG for Legal Norms: A Structural, Temporal, and Deterministic Approach","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-22T17:53:42.369128Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2505.00039"},"observation_digest":"sha256:f9673a23413d1bee2bdb5402c5aef7aa5216da32c3d788916ef1c54dcdeeeb97","observation_id":"b80ca526-c80a-467d-aedc-2c6e288b2bb6","resolution":{"observed_at":"2026-05-22T17:55:01.758880Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-07T15:14:47.100923Z","title":"Legalbench-rag: A benchmark for retrieval-augmented generation in the legal domain","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16014","last_updated":"2026-06-02T10:15:17Z","snapshot_observed_at":"2026-08-07T15:06:12.174579Z","submitted_at":"2025-05-21T20:57:16Z","title":"Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains","version":5},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T15:14:47.100923Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2505.16014"},"observation_digest":"sha256:3a1c7d85af1bfa4e49d6cd89638afec9f93ac27efc76eb715b572687b66af3d6","observation_id":"06a65c60-3484-4980-ba3a-55c9fcf0124f","resolution":{"observed_at":"2026-08-07T15:14:47.100923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-07T14:21:56.048460Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19288","last_updated":"2025-08-04T00:07:30Z","snapshot_observed_at":"2026-08-08T11:22:31.577154Z","submitted_at":"2025-05-25T19:42:06Z","title":"Hypercube-Based Retrieval-Augmented Generation for Scientific Question-Answering","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:21:56.048460Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2505.19288"},"observation_digest":"sha256:5f0c25469730c0697ee0d7fb431f3ba0a049aa258c18ade574af80818b43983e","observation_id":"3a5d7094-c8ae-4d5b-a75c-3ba07ab1dd5b","resolution":{"observed_at":"2026-08-07T14:21:56.048460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-07T14:17:57.261092Z","title":"and Alami, G","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.19433","last_updated":"2025-06-01T13:59:15Z","snapshot_observed_at":"2026-08-07T14:11:55.401752Z","submitted_at":"2025-05-26T02:49:07Z","title":"Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:17:57.261092Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2505.19433"},"observation_digest":"sha256:e494e4d03ff4d7493ebcc5466eabac53f38d85deefc62425ef971c357abcabd8","observation_id":"0361649b-351f-4512-9fa8-13d79663f0ef","resolution":{"observed_at":"2026-08-07T14:17:57.261092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-07T14:10:28.231858Z","title":"Legalbench-rag: A benchmark for retrieval-augmented genera- tion in the legal domain.arXiv preprint arXiv:2408.10343, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19864","last_updated":"2025-05-26T11:48:32Z","snapshot_observed_at":"2026-08-07T14:02:49.934041Z","submitted_at":"2025-05-26T11:48:32Z","title":"CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:10:28.231858Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2505.19864"},"observation_digest":"sha256:570461dd5ee0e0dff509a7a42b0cedf8ecbaa0f0c0386d539bd7e4d8dc131244","observation_id":"ada1333a-fc42-4d91-8b3a-e65768243590","resolution":{"observed_at":"2026-08-07T14:10:28.231858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-07T14:01:16.313186Z","title":"Legalbench-rag: A benchmark for retrieval-augmented generation in the legal domain.arXiv preprint arXiv:2408.10343, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20246","last_updated":"2025-06-19T15:42:45Z","snapshot_observed_at":"2026-08-07T13:53:59.614963Z","submitted_at":"2025-05-26T17:22:20Z","title":"On Path to Multimodal Historical Reasoning: HistBench and HistAgent","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:16.313186Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2505.20246"},"observation_digest":"sha256:68e618169bd9190e9aedf033deeafbb8d95ee6f36452eb0ccda3e22b1a90eb66","observation_id":"18e5eb42-7114-43be-aef7-8dfc6032a0f5","resolution":{"observed_at":"2026-08-07T14:01:16.313186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-07T13:14:31.960278Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22430","last_updated":"2025-05-28T14:55:33Z","snapshot_observed_at":"2026-08-07T13:05:09.521160Z","submitted_at":"2025-05-28T14:55:33Z","title":"RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided Reasoning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:31.960278Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2505.22430"},"observation_digest":"sha256:a8096539797bd44aa7427ac17444918ae74f0b20bf7ebc9ecef2d876390f0b8f","observation_id":"ba53a88f-d572-48db-8ca4-2f21275002e6","resolution":{"observed_at":"2026-08-07T13:14:31.960278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-07T05:18:28.086107Z","title":"and Alami, G","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08354","last_updated":"2026-05-28T08:13:47Z","snapshot_observed_at":"2026-08-07T05:10:51.150588Z","submitted_at":"2025-06-10T02:11:42Z","title":"Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.086107Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2506.08354"},"observation_digest":"sha256:8f3218379150c358d79203e757a56eaf5e68d7bab303a4f785d652c8ca363148","observation_id":"f8ad1e76-cbb3-40b0-b5ca-801011f39d01","resolution":{"observed_at":"2026-08-07T05:18:28.086107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-07T04:54:27.490816Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18768","last_updated":"2025-06-11T06:55:40Z","snapshot_observed_at":"2026-08-08T11:10:55.724558Z","submitted_at":"2025-06-11T06:55:40Z","title":"ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T04:54:27.490816Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2506.18768"},"observation_digest":"sha256:8f5070a6e7047367b41d2e3ed1efc8a3af47b8dbf6386b5147232e601fdf7209","observation_id":"024b5934-0914-4556-b5e8-93d45c241c1b","resolution":{"observed_at":"2026-08-07T04:54:27.490816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-06T20:05:45.415601Z","title":"Legalbench-rag: A benchmark for retrieval-augmented generation in the legal domain,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.03868","last_updated":"2025-07-05T02:44:38Z","snapshot_observed_at":"2026-08-08T07:24:46.612598Z","submitted_at":"2025-07-05T02:44:38Z","title":"From Query to Explanation: Uni-RAG for Multi-Modal Retrieval-Augmented Learning in STEM","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T20:05:45.415601Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2507.03868"},"observation_digest":"sha256:7c8edee111ea2928cabaaaa48cd289c34ac41720f9affd37a6814dc098948115","observation_id":"277d8749-cf37-41aa-b518-3ee3e64efcfe","resolution":{"observed_at":"2026-08-06T20:05:45.415601Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T15:51:46.366040Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19365","last_updated":"2025-08-26T18:53:39Z","snapshot_observed_at":"2026-08-07T06:19:33.748455Z","submitted_at":"2025-08-26T18:53:39Z","title":"AI for Statutory Simplification: A Comprehensive State Legal Corpus and Labor Benchmark","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T15:51:46.366040Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2508.19365"},"observation_digest":"sha256:49bd4f7334bcd961e7c6a0052c3ecc50c40b29a642b58cc2d6df339ace156d04","observation_id":"cea246d1-1066-40f9-b662-d124c54ce514","resolution":{"observed_at":"2026-08-05T15:51:46.366040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T10:42:48.460862Z","title":"arXiv preprint arXiv:2408.10343 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03793","last_updated":"2025-09-04T01:04:44Z","snapshot_observed_at":"2026-08-05T10:42:47.960113Z","submitted_at":"2025-09-04T01:04:44Z","title":"SAMVAD: A Multi-Agent System for Simulating Judicial Deliberation Dynamics in India","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T10:42:48.460862Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2509.03793"},"observation_digest":"sha256:109f7bd019a81492214e2bcf2bb28b734d6ec5f9b63e5a9a0ad6a4a87ce89374","observation_id":"e5fd3d4f-5ad2-4736-b10c-612ea15e0eb7","resolution":{"observed_at":"2026-08-05T10:42:48.460862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2604.22292","last_updated":"2026-04-24T07:13:24Z","snapshot_observed_at":"2026-07-06T23:08:42.301487Z","submitted_at":"2026-04-24T07:13:24Z","title":"ReLeVAnT: Relevance Lexical Vectors for Accurate Legal Text Classification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T11:55:29.109903Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2604.22292"},"observation_digest":"sha256:a5ae320290e96db763f04312325d708f3b8880fb82e64db8032ea07f50f50826","observation_id":"b34bb446-fa3f-494a-9b16-48aad10aac11","resolution":{"observed_at":"2026-05-11T19:26:09.964423Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2604.25448","last_updated":"2026-04-28T09:58:18Z","snapshot_observed_at":"2026-07-06T23:11:21.433834Z","submitted_at":"2026-04-28T09:58:18Z","title":"Navigating Global AI Regulation: A Multi-Jurisdictional Retrieval-Augmented Generation System","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-07T16:12:59.901188Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2604.25448"},"observation_digest":"sha256:aa3de9bafb4bc8a839139b24e183d199562a8ca4a075bfaddf470424575d1dbc","observation_id":"1af13f5d-5c89-43d3-a510-25ded8e91f94","resolution":{"observed_at":"2026-05-11T23:51:17.005824Z","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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2605.01486","last_updated":"2026-05-02T15:21:05Z","snapshot_observed_at":"2026-08-05T05:33:13.839142Z","submitted_at":"2026-05-02T15:21:05Z","title":"MAP-Law: Coverage-Driven Retrieval Control for Multi-Turn Legal Consultation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-09T14:22:11.383735Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2605.01486"},"observation_digest":"sha256:de06c8064121fa15d49be5633caae480904bb0e79fe5b0c700afaca66eef57ba","observation_id":"a9142b29-c656-4b69-a252-b5bf245d0bca","resolution":{"observed_at":"2026-05-11T16:56:09.222386Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2605.14488","last_updated":"2026-05-14T07:27:50Z","snapshot_observed_at":"2026-08-04T22:02:00.244911Z","submitted_at":"2026-05-14T07:27:50Z","title":"Deepchecks: Evaluating Retrieval-Augmented Generation (RAG)","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-15T02:09:15.827929Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2605.14488"},"observation_digest":"sha256:799824cff39f0e600496076f14ddff895a156edcb2ad6ed467612d0bd8d2f78b","observation_id":"a9465178-10ce-4b9f-adf4-a0a618aeebca","resolution":{"observed_at":"2026-05-15T02:09:38.732291Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2605.21071","last_updated":"2026-05-22T11:16:57Z","snapshot_observed_at":"2026-07-31T08:38:15.208724Z","submitted_at":"2026-05-20T11:56:27Z","title":"Fine-grained Claim-level RAG Benchmark for Law","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-21T05:10:25.633567Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2605.21071"},"observation_digest":"sha256:f876c04e02db39d65bc7ea126d4662d31f4f4a1280025897c8556489dc7c5aac","observation_id":"bd3ee14f-1bfd-4e31-a1e3-71b40de3c78b","resolution":{"observed_at":"2026-05-21T05:13:58.094169Z","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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2605.21071","last_updated":"2026-05-22T11:16:57Z","snapshot_observed_at":"2026-07-31T08:38:15.208724Z","submitted_at":"2026-05-20T11:56:27Z","title":"Fine-grained Claim-level RAG Benchmark for Law","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-22T09:43:17.040131Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2605.21071"},"observation_digest":"sha256:d861d548da60386c4ef8889c8261cab78992ce2ebf7f2d66ef6e3cf8041e31fe","observation_id":"3784f1e6-df54-4cdf-a9af-a79c70129ba9","resolution":{"observed_at":"2026-05-22T09:44:45.811789Z","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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2605.21071","last_updated":"2026-05-22T11:16:57Z","snapshot_observed_at":"2026-07-31T08:38:15.208724Z","submitted_at":"2026-05-20T11:56:27Z","title":"Fine-grained Claim-level RAG Benchmark for Law","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-25T05:54:45.589083Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2605.21071"},"observation_digest":"sha256:c652d98d897c8cf25b8d9ad37f3996ab2a08d475e381a9bd68d832f37ffad7a1","observation_id":"df5948b5-7218-4326-8d93-8fb6a0450244","resolution":{"observed_at":"2026-05-25T05:55:22.953570Z","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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2605.27331","last_updated":"2026-05-26T17:38:26Z","snapshot_observed_at":"2026-08-01T16:10:12.654661Z","submitted_at":"2026-05-26T17:38:26Z","title":"Maat: The Agentic Legal Research Assistant for Competition Protection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-29T16:36:09.830236Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2605.27331"},"observation_digest":"sha256:d23b2bc29f0f2dc0f1bb475248c0557613b51d538b661abec5afc48f7dcc923f","observation_id":"acacabb9-418f-4f2f-981d-5de6cbec6fd3","resolution":{"observed_at":"2026-06-29T16:53:41.450365Z","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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2605.30205","last_updated":"2026-05-28T16:43:17Z","snapshot_observed_at":"2026-08-07T09:35:25.766989Z","submitted_at":"2026-05-28T16:43:17Z","title":"LexPath: A domain-oriented multi-path framework for legal article retrieval","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T05:13:07.747936Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2605.30205"},"observation_digest":"sha256:392999aa1270d269050fcb59dafafb4d202846af81f2745faebabf4cc6eb916d","observation_id":"de62d7d1-31f2-4c5d-b1de-170dade1a26e","resolution":{"observed_at":"2026-06-29T18:13:49.350887Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2605.30497","last_updated":"2026-05-28T19:24:23Z","snapshot_observed_at":"2026-08-03T08:34:40.657379Z","submitted_at":"2026-05-28T19:24:23Z","title":"CanLegalRAGBench: Evaluating Retrieval-Augmented Generation on Canadian Case Law","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T07:37:36.187564Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2605.30497"},"observation_digest":"sha256:58e38bd111b075e982a91e23a1e3840845fa3206783ceb77c060cf7ca09108b2","observation_id":"6a02a7d3-ea34-45a9-a0aa-9b3a25f32832","resolution":{"observed_at":"2026-06-29T07:43:13.872758Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2606.03138","last_updated":"2026-06-02T04:27:53Z","snapshot_observed_at":"2026-08-05T08:20:24.247189Z","submitted_at":"2026-06-02T04:27:53Z","title":"Section-Weighted Hybrid Approach for Legal Case Retrieval","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-28T08:39:28.510255Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2606.03138"},"observation_digest":"sha256:5468ce4e255603f26b6b997677111927cf64b5a6043dc2f65815271de4c3a0a9","observation_id":"738448c5-3850-40a1-af97-1e18c9d2d6e8","resolution":{"observed_at":"2026-07-02T04:56:39.304942Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2606.03728","last_updated":"2026-06-02T14:48:33Z","snapshot_observed_at":"2026-07-06T23:43:55.632508Z","submitted_at":"2026-06-02T14:48:33Z","title":"Re-Ranking Through an Attribution Lens for Citation Quality in Legal QA","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-28T10:35:11.989106Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2606.03728"},"observation_digest":"sha256:8c837f1272f2d7ec81950dde05a5894a9d73b6fa6ae762a8c1f31eb9aadf2f20","observation_id":"3b8f5086-830b-4014-af60-ce370a7025cf","resolution":{"observed_at":"2026-07-02T02:46:29.363120Z","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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":"2408.10343","doi":"10.48550/arxiv.2408.10343","metadata_source":"arxiv_reference","pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pipitone and G","venue":"arXiv (Cornell University)","work_id":"98f89122-db07-49b0-8852-b695a89511fb","year":2024},"citing_paper":{"arxiv_id":"2606.23716","last_updated":"2026-06-16T14:19:04Z","snapshot_observed_at":"2026-08-03T11:45:50.371507Z","submitted_at":"2026-06-16T14:19:04Z","title":"Legal Reasoning Is Not Lawyering: Rethinking Legal Benchmarks for Pro Se Access to Justice","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-06-26T22:26:54.239505Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2606.23716"},"observation_digest":"sha256:7fbb75026e6cdba78a5cf94e08dc6a40c980dda8ca7f5add3a34a3046d9b1188","observation_id":"50ecc0c9-0b65-40da-bf46-11b39a0f535a","resolution":{"observed_at":"2026-07-03T23:19:03.968034Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2026-05-21T07:53:16.885846+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T07:53:16.885846+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-07-11T22:45:47.429470Z","title":"LegalBench-RAG: A benchmark for retrieval-augmented generation in the legal domain.arXiv preprint arXiv:2408.10343, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03957","last_updated":"2026-07-28T13:42:13Z","snapshot_observed_at":"2026-08-04T16:44:06.980386Z","submitted_at":"2026-07-04T17:11:21Z","title":"NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-11T22:45:47.429470Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2607.03957"},"observation_digest":"sha256:fdf10262c77b8c46cb633acce598b91db06dc6fa6ceb65b13204702927852157","observation_id":"8cd400e2-3620-4a32-9b1a-734fc79f9bef","resolution":{"observed_at":"2026-07-11T22:45:47.429470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-02T08:49:45.645687Z","title":"arXiv preprint arXiv:2408.10343 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03957","last_updated":"2026-07-28T13:42:13Z","snapshot_observed_at":"2026-08-04T16:44:06.980386Z","submitted_at":"2026-07-04T17:11:21Z","title":"NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-02T08:49:45.645687Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2607.03957"},"observation_digest":"sha256:7fc7e8916e7f6903c3b88b2b31e87304d56ebb36109831ad16c7d8b176eb962c","observation_id":"49a46a8d-9ea8-49f3-8f94-dc1f0642181a","resolution":{"observed_at":"2026-08-02T08:49:45.645687Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-02T08:58:42.760654Z","title":"Legalbench-rag: A benchmark for retrieval- augmented generation in the legal domain.arXiv preprint arXiv:2408.10343, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20506","last_updated":"2026-07-02T21:36:54Z","snapshot_observed_at":"2026-08-05T06:35:44.762457Z","submitted_at":"2026-07-02T21:36:54Z","title":"Optimizing Hypergraph-Based RAG: Toward Better Fact Extraction and Chunk Retrieval","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T08:58:42.760654Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2607.20506"},"observation_digest":"sha256:019126e4e8d499910cb5d748e4262d8ed9899a4649a25d966d34615ee85bdbc7","observation_id":"b59db531-16e1-4e12-a0f6-4dcb096afe17","resolution":{"observed_at":"2026-08-02T08:58:42.760654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-07-31T14:41:31.365626Z","title":"arXiv preprint arXiv:2408.10343 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24449","last_updated":"2026-07-27T13:55:35Z","snapshot_observed_at":"2026-08-04T13:15:44.744700Z","submitted_at":"2026-07-27T13:55:35Z","title":"Evaluating RAG for French immigration law: a benchmark and baseline study","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-31T14:41:31.365626Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2607.24449"},"observation_digest":"sha256:6ab3b8166f396f98045232be5dc2e5f391dea85e690fc257b048394424532ec8","observation_id":"ac36cedb-959a-4439-8d2a-3e91b7b25d52","resolution":{"observed_at":"2026-07-31T14:41:31.365626Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10343","snapshot_observed_at":"2026-08-04T01:34:36.960263Z","title":"Legalbench-rag: A benchmark for retrieval-augmented generation in the legal domain,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00054","last_updated":"2026-07-26T21:29:19Z","snapshot_observed_at":"2026-08-07T14:59:38.371193Z","submitted_at":"2026-07-26T21:29:19Z","title":"RAG-TESTER: Automated End-to-End Testing of Retrieval-Augmented Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T01:34:36.960263Z"},"links":{"cited_paper":"/paper/2408.10343","citing_paper":"/paper/2608.00054"},"observation_digest":"sha256:c9dec830a2cef61d52eaa77ab09fd0df59b0dd8d4d0ec46f8d1397161b719c42","observation_id":"7faeaff8-c8a3-4a02-8bf9-17cb02f77960","resolution":{"observed_at":"2026-08-04T01:34:36.960263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.10343/citation-record","integrity":"/paper/2408.10343/integrity","json":"/paper/2408.10343/citation-record.json","paper":"/paper/2408.10343"},"outbound":[],"paper":{"arxiv_id":"2408.10343","last_updated":"2024-08-19T18:30:18Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T19:03:09.004554Z","submitted_at":"2024-08-19T18:30:18Z","title":"LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2408.10343."}