{"as_of":"2026-08-07T23:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5c9d6411c8839d43aa4366f16d8b6e937b4fa73e93f605ff0d5269ef0828ff41","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:14:49.296190Z","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":"2026-06-29T18:13:49.343198Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.01326","last_updated":"2022-12-08T22:28:10Z","snapshot_observed_at":"2026-07-06T14:26:13.635588Z","submitted_at":"2022-12-02T17:41:22Z","title":"Legal Prompting: Teaching a Language Model to Think Like a Lawyer","version":2},"cited_work":{"arxiv_id":"2212.01326","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.01326","snapshot_observed_at":"2026-06-29T18:13:49.343198Z","title":"arXiv preprint arXiv:2212.01326 , year=","venue":null,"work_id":"93f57743-5cff-4a32-a256-e29223445a3c","year":2022},"citing_paper":{"arxiv_id":"2401.03568","last_updated":"2024-01-25T21:20:27Z","snapshot_observed_at":"2026-07-30T06:39:40.880794Z","submitted_at":"2024-01-07T19:11:18Z","title":"Agent AI: Surveying the Horizons of Multimodal Interaction","version":2},"reference_index":235,"source":"arxiv_source","source_observed_at":"2026-05-18T14:25:58.876978Z"},"links":{"cited_paper":"/paper/2212.01326","citing_paper":"/paper/2401.03568"},"observation_digest":"sha256:57cf70884d2be3f83b707627dbf1955812d49caecce50efe6a8e9b27aa2579f3","observation_id":"9c68cf37-c6d6-44f7-879e-685849c4004b","resolution":{"observed_at":"2026-05-18T14:25:59.728153Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01326","last_updated":"2022-12-08T22:28:10Z","snapshot_observed_at":"2026-07-06T14:26:13.635588Z","submitted_at":"2022-12-02T17:41:22Z","title":"Legal Prompting: Teaching a Language Model to Think Like a Lawyer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01326","snapshot_observed_at":"2026-08-06T20:14:49.296190Z","title":"Legal prompting: Teaching a lan- guage model to think like a lawyer.arXiv preprint arXiv:2212.01326,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.03405","last_updated":"2025-07-04T09:13:50Z","snapshot_observed_at":"2026-08-06T20:08:57.378887Z","submitted_at":"2025-07-04T09:13:50Z","title":"Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:14:49.296190Z"},"links":{"cited_paper":"/paper/2212.01326","citing_paper":"/paper/2507.03405"},"observation_digest":"sha256:b30e132df296e1dcfff44367ca6e8493e9a97384377fbd97d626ac313567e0c0","observation_id":"dd258837-e2e0-4ee0-82cb-0dc57bff52d3","resolution":{"observed_at":"2026-08-06T20:14:49.296190Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01326","last_updated":"2022-12-08T22:28:10Z","snapshot_observed_at":"2026-07-06T14:26:13.635588Z","submitted_at":"2022-12-02T17:41:22Z","title":"Legal Prompting: Teaching a Language Model to Think Like a Lawyer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01326","snapshot_observed_at":"2026-08-05T11:48:51.591055Z","title":"arXiv preprint arXiv:2212.01326 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.02241","last_updated":"2025-09-02T12:09:49Z","snapshot_observed_at":"2026-08-07T06:10:37.238530Z","submitted_at":"2025-09-02T12:09:49Z","title":"LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-05T11:48:51.591055Z"},"links":{"cited_paper":"/paper/2212.01326","citing_paper":"/paper/2509.02241"},"observation_digest":"sha256:b9323cee0c18d33a94b56594e8948827b982ac568ff37847975d0b5179ff6192","observation_id":"0528b318-de0b-40af-ac69-a5464667b8cf","resolution":{"observed_at":"2026-08-05T11:48:51.591055Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01326","last_updated":"2022-12-08T22:28:10Z","snapshot_observed_at":"2026-07-06T14:26:13.635588Z","submitted_at":"2022-12-02T17:41:22Z","title":"Legal Prompting: Teaching a Language Model to Think Like a Lawyer","version":2},"cited_work":{"arxiv_id":"2212.01326","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.01326","snapshot_observed_at":"2026-06-29T18:13:49.343198Z","title":"arXiv preprint arXiv:2212.01326 , year=","venue":null,"work_id":"93f57743-5cff-4a32-a256-e29223445a3c","year":2022},"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":10,"source":"pdf_text","source_observed_at":"2026-06-29T05:13:07.747936Z"},"links":{"cited_paper":"/paper/2212.01326","citing_paper":"/paper/2605.30205"},"observation_digest":"sha256:f198387a87403888690a4af7874b4fabd8752a21821507617db1392ad0408563","observation_id":"e2df6e5a-0294-4d8a-9ee9-7e44dcec1870","resolution":{"observed_at":"2026-06-29T18:13:49.344689Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01326","last_updated":"2022-12-08T22:28:10Z","snapshot_observed_at":"2026-07-06T14:26:13.635588Z","submitted_at":"2022-12-02T17:41:22Z","title":"Legal Prompting: Teaching a Language Model to Think Like a Lawyer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01326","snapshot_observed_at":"2026-07-12T03:16:08.937731Z","title":"arXiv preprint arXiv:2212.01326 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03325","last_updated":"2026-07-03T13:41:08Z","snapshot_observed_at":"2026-08-06T08:12:21.465597Z","submitted_at":"2026-07-03T13:41:08Z","title":"From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Control","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-12T03:16:08.937731Z"},"links":{"cited_paper":"/paper/2212.01326","citing_paper":"/paper/2607.03325"},"observation_digest":"sha256:d0f0148865242d512b7582412202b63005d971688fd8652607ffb3acbd04e540","observation_id":"53e5d946-1647-47d7-acd7-7d1567411c0e","resolution":{"observed_at":"2026-07-12T03:16:08.937731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2212.01326/citation-record","integrity":"/paper/2212.01326/integrity","json":"/paper/2212.01326/citation-record.json","paper":"/paper/2212.01326"},"outbound":[],"paper":{"arxiv_id":"2212.01326","last_updated":"2022-12-08T22:28:10Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T14:26:13.635588Z","submitted_at":"2022-12-02T17:41:22Z","title":"Legal Prompting: Teaching a Language Model to Think Like a Lawyer"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.01326."}