{"as_of":"2026-08-06T20:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c0989ff7d620520cee2948e135f9455da647d57360a46a4706ae47ef5545c48f","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":"2026-08-06T06:34:29.942622+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":"2026-08-05T17:15:15.275605Z","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":"2026-06-29T19:13:53.139323Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.04866","last_updated":"2025-08-22T20:29:27Z","snapshot_observed_at":"2026-07-06T18:27:07.473039Z","submitted_at":"2024-06-07T12:01:59Z","title":"ComplexTempQA:A 100m Dataset for Complex Temporal Question Answering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04866","snapshot_observed_at":"2026-08-05T17:15:15.275605Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16757","last_updated":"2025-08-22T19:30:04Z","snapshot_observed_at":"2026-08-05T17:15:02.030167Z","submitted_at":"2025-08-22T19:30:04Z","title":"How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T17:15:15.275605Z"},"links":{"cited_paper":"/paper/2406.04866","citing_paper":"/paper/2508.16757"},"observation_digest":"sha256:d434ea20c1d7a39835e4ecf52aded73a08feb7c6d4edfcf557eb9c109036b08f","observation_id":"62cde85a-f37c-4ac6-b554-5a848a051b02","resolution":{"observed_at":"2026-08-05T17:15:15.275605Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04866","last_updated":"2025-08-22T20:29:27Z","snapshot_observed_at":"2026-07-06T18:27:07.473039Z","submitted_at":"2024-06-07T12:01:59Z","title":"ComplexTempQA:A 100m Dataset for Complex Temporal Question Answering","version":3},"cited_work":{"arxiv_id":"2406.04866","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04866","snapshot_observed_at":"2026-06-29T19:13:53.139323Z","title":null,"venue":null,"work_id":"cc5c8797-7161-460c-bc98-01da22afc40c","year":2024},"citing_paper":{"arxiv_id":"2606.27881","last_updated":"2026-06-26T09:23:31Z","snapshot_observed_at":"2026-07-07T00:02:04.432452Z","submitted_at":"2026-06-26T09:23:31Z","title":"A Study of Temporal Fusion Strategies for Named Entity Recognition in Historical Texts","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-29T04:52:30.770882Z"},"links":{"cited_paper":"/paper/2406.04866","citing_paper":"/paper/2606.27881"},"observation_digest":"sha256:a49afac3f2c6c2f9fda4c8b4d924e69b059e0dd7097d12cfe74ab79623209eec","observation_id":"ae754ac9-d66f-4605-a598-b26ef22075eb","resolution":{"observed_at":"2026-06-29T19:13:53.141422Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.04866/citation-record","integrity":"/paper/2406.04866/integrity","json":"/paper/2406.04866/citation-record.json","paper":"/paper/2406.04866"},"outbound":[],"paper":{"arxiv_id":"2406.04866","last_updated":"2025-08-22T20:29:27Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:27:07.473039Z","submitted_at":"2024-06-07T12:01:59Z","title":"ComplexTempQA:A 100m Dataset for Complex Temporal Question Answering"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.04866."}