{"as_of":"2026-08-16T02:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b688f109f1725db86d8e4c1f5532ee8a186e4bf715a97d3ad1833aee4139b220","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T19:58:46.715154Z","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":"2026-07-02T21:07:23.804106Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.17144","last_updated":"2025-01-28T18:45:07Z","snapshot_observed_at":"2026-08-10T04:40:46.403324Z","submitted_at":"2025-01-28T18:45:07Z","title":"FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data","version":1},"cited_work":{"arxiv_id":"2501.17144","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.17144","snapshot_observed_at":"2026-07-02T21:07:23.804106Z","title":"Factcg: Enhancing fact checkers with graph-based multi-hop data,","venue":null,"work_id":"56f5a1e3-3eec-43ae-a1b8-8317d75ff525","year":2025},"citing_paper":{"arxiv_id":"2606.08157","last_updated":"2026-06-06T13:13:12Z","snapshot_observed_at":"2026-08-13T14:53:59.243091Z","submitted_at":"2026-06-06T13:13:12Z","title":"Cross Paraphrastic Invariance Learning for Hallucination Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T19:58:46.715154Z"},"links":{"cited_paper":"/paper/2501.17144","citing_paper":"/paper/2606.08157"},"observation_digest":"sha256:85f102cce3b6d0814a6802950842cad86dd6e252e8e943af5ddf6f4e156aeb00","observation_id":"c17b114f-dda3-4bd5-a8e1-8db9dc088753","resolution":{"observed_at":"2026-07-02T20:57:23.745108Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.17144","last_updated":"2025-01-28T18:45:07Z","snapshot_observed_at":"2026-08-10T04:40:46.403324Z","submitted_at":"2025-01-28T18:45:07Z","title":"FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data","version":1},"cited_work":{"arxiv_id":"2501.17144","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.17144","snapshot_observed_at":"2026-07-02T21:07:23.804106Z","title":"Factcg: Enhancing fact checkers with graph-based multi-hop data,","venue":null,"work_id":"56f5a1e3-3eec-43ae-a1b8-8317d75ff525","year":2025},"citing_paper":{"arxiv_id":"2606.08158","last_updated":"2026-06-06T13:14:10Z","snapshot_observed_at":"2026-08-12T03:01:28.795850Z","submitted_at":"2026-06-06T13:14:10Z","title":"Constrained Paraphrase Consistency for LLM Hallucination Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T19:56:39.860512Z"},"links":{"cited_paper":"/paper/2501.17144","citing_paper":"/paper/2606.08158"},"observation_digest":"sha256:d04a4893fdc95cb01ad4d55f9884d3f7723cb09bb97e4dde57a4c7308d523f0c","observation_id":"d44b136e-3104-4add-b4e8-d5034fe99da2","resolution":{"observed_at":"2026-07-02T21:07:23.805733Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.17144/citation-record","integrity":"/paper/2501.17144/integrity","json":"/paper/2501.17144/citation-record.json","paper":"/paper/2501.17144"},"outbound":[],"paper":{"arxiv_id":"2501.17144","last_updated":"2025-01-28T18:45:07Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T04:40:46.403324Z","submitted_at":"2025-01-28T18:45:07Z","title":"FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.17144."}