{"as_of":"2026-08-04T22:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:684a18b17a6b574d1f1194e907e96f0208ae3a3ff6de16a6a0c6104de2c40424","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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":"2026-05-08T05:25:43.489962Z","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":"2026-05-11T21:31:13.214775Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.17780","last_updated":"2024-06-12T03:14:36Z","snapshot_observed_at":"2026-08-04T04:01:44.309608Z","submitted_at":"2024-03-26T15:13:16Z","title":"CaseLink: Inductive Graph Learning for Legal Case Retrieval","version":3},"cited_work":{"arxiv_id":"2403.17780","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17780","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e3e2e05d-72d9-4bd1-915b-293d2c8e8c16","year":2024},"citing_paper":{"arxiv_id":"2604.23779","last_updated":"2026-04-26T16:02:59Z","snapshot_observed_at":"2026-07-06T23:09:58.193241Z","submitted_at":"2026-04-26T16:02:59Z","title":"GLIER: Generative Legal Inference and Evidence Ranking for Legal Case Retrieval","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-08T05:25:43.489962Z"},"links":{"cited_paper":"/paper/2403.17780","citing_paper":"/paper/2604.23779"},"observation_digest":"sha256:c0dc899d970aa10ec21e2c1a239db22080c5cf7cb8d7187f8c21f547e236421e","observation_id":"3a2b8594-bd87-4bf3-b32f-ad3e0571d217","resolution":{"observed_at":"2026-05-11T21:31:13.225424Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.17780/citation-record","integrity":"/paper/2403.17780/integrity","json":"/paper/2403.17780/citation-record.json","paper":"/paper/2403.17780"},"outbound":[],"paper":{"arxiv_id":"2403.17780","last_updated":"2024-06-12T03:14:36Z","latest_version":3,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-04T04:01:44.309608Z","submitted_at":"2024-03-26T15:13:16Z","title":"CaseLink: Inductive Graph Learning for Legal Case Retrieval"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2403.17780."}