{"as_of":"2026-08-13T17:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e47471d727f04c605b19f074e4f3478f1673ca0ec7f266701e340464ac236c49","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":"2026-08-13T06:32:02.005865+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":"2026-08-11T22:29:53.417677Z","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":"2026-08-11T22:29:55.619897Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.04873","last_updated":"2024-05-06T16:46:56Z","snapshot_observed_at":"2026-08-13T09:57:11.932254Z","submitted_at":"2024-03-07T19:46:33Z","title":"The SIDO Performance Model for League of Legends","version":2},"cited_work":{"arxiv_id":"2403.04873","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.04873","snapshot_observed_at":"2026-08-11T22:29:55.619897Z","title":"The SIDO Performance Model for League of Legends","venue":"stat.AP","work_id":"cca8f493-1710-410c-9dff-74bd87e573bb","year":2024},"citing_paper":{"arxiv_id":"2608.09156","last_updated":"2026-08-10T06:02:41Z","snapshot_observed_at":"2026-08-13T17:21:19.456356Z","submitted_at":"2026-08-10T06:02:41Z","title":"Diagnosing Performance in Invasion-Based Esports: The Esports Performance Screening (EPS) Framework","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T22:29:53.417677Z"},"links":{"cited_paper":"/paper/2403.04873","citing_paper":"/paper/2608.09156"},"observation_digest":"sha256:50a866fa80901df85a4f8fa6669a132c2b49e31b19b41a01b355d4c760336fb6","observation_id":"46f9082c-ae35-4bc8-87f2-5e65ea7fd53a","resolution":{"observed_at":"2026-08-11T22:29:55.664750Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.04873/citation-record","integrity":"/paper/2403.04873/integrity","json":"/paper/2403.04873/citation-record.json","paper":"/paper/2403.04873"},"outbound":[],"paper":{"arxiv_id":"2403.04873","last_updated":"2024-05-06T16:46:56Z","latest_version":2,"primary_category":"stat.AP","snapshot_observed_at":"2026-08-13T09:57:11.932254Z","submitted_at":"2024-03-07T19:46:33Z","title":"The SIDO Performance Model for League of Legends"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2403.04873."}