{"as_of":"2026-08-16T05:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3378a7fa25dd1a44991dd4d9235391b3590ca261326296d59dfb9433be807434","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":"2026-08-07T11:30:30.091296Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T21:15:11.226995Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.18116","last_updated":"2024-06-26T07:07:52Z","snapshot_observed_at":"2026-08-16T04:59:37.919123Z","submitted_at":"2024-06-26T07:07:52Z","title":"BADGE: BADminton report Generation and Evaluation with LLM","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18116","snapshot_observed_at":"2026-08-07T11:30:30.091296Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02351","last_updated":"2025-06-03T01:10:20Z","snapshot_observed_at":"2026-08-15T09:23:50.216089Z","submitted_at":"2025-06-03T01:10:20Z","title":"DIAMOND: An LLM-Driven Agent for Context-Aware Baseball Highlight Summarization","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T11:30:30.091296Z"},"links":{"cited_paper":"/paper/2406.18116","citing_paper":"/paper/2506.02351"},"observation_digest":"sha256:36f95a363093806bbb62d44efb112301c166f00b156562d32ff0998fc110a9db","observation_id":"2046f9eb-391d-4cde-9779-d807db74aa74","resolution":{"observed_at":"2026-08-07T11:30:30.091296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18116","last_updated":"2024-06-26T07:07:52Z","snapshot_observed_at":"2026-08-16T04:59:37.919123Z","submitted_at":"2024-06-26T07:07:52Z","title":"BADGE: BADminton report Generation and Evaluation with LLM","version":1},"cited_work":{"arxiv_id":"2406.18116","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.18116","snapshot_observed_at":"2026-08-06T21:15:11.226995Z","title":"BADGE: BADminton report Generation and Evaluation with LLM","venue":"cs.CL","work_id":"95d5f709-4559-48ad-b622-c434f4458f2d","year":2024},"citing_paper":{"arxiv_id":"2507.00718","last_updated":"2025-07-01T12:57:18Z","snapshot_observed_at":"2026-08-15T09:22:27.003659Z","submitted_at":"2025-07-01T12:57:18Z","title":"AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:15:09.550168Z"},"links":{"cited_paper":"/paper/2406.18116","citing_paper":"/paper/2507.00718"},"observation_digest":"sha256:8c982b023eb0f7aea87e623c89f18a88bacb707cc427cf4f1396155ea78363d8","observation_id":"f2b8abc4-e189-4218-9ee8-66a48cca7bdb","resolution":{"observed_at":"2026-08-06T21:15:11.265195Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/2406.18116/citation-record","integrity":"/paper/2406.18116/integrity","json":"/paper/2406.18116/citation-record.json","paper":"/paper/2406.18116"},"outbound":[],"paper":{"arxiv_id":"2406.18116","last_updated":"2024-06-26T07:07:52Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T04:59:37.919123Z","submitted_at":"2024-06-26T07:07:52Z","title":"BADGE: BADminton report Generation and Evaluation with LLM"},"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:2406.18116."}