{"as_of":"2026-08-06T08:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:330b817c9a742562ee93c6bb33b8731036402f44bc5d51cb6db261432b6ecf23","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":"2026-08-06T06:34:29.942622+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":"2026-05-10T03:20:12.777878Z","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":"2026-05-11T12:41:01.785133Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.13226","last_updated":"2024-11-20T11:41:08Z","snapshot_observed_at":"2026-07-06T19:53:08.203405Z","submitted_at":"2024-11-20T11:41:08Z","title":"AIDBench: A benchmark for evaluating the authorship identification capability of large language models","version":1},"cited_work":{"arxiv_id":"2411.13226","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.13226","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2411.13226 , year=","venue":null,"work_id":"295ade0f-0e37-4122-ab2a-36825368bd9a","year":null},"citing_paper":{"arxiv_id":"2604.18955","last_updated":"2026-04-21T01:05:52Z","snapshot_observed_at":"2026-07-06T23:05:44.499005Z","submitted_at":"2026-04-21T01:05:52Z","title":"Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-05-10T03:20:12.777878Z"},"links":{"cited_paper":"/paper/2411.13226","citing_paper":"/paper/2604.18955"},"observation_digest":"sha256:11f46d9d0ae7bdc373e94415c20abf68fe342ce64592960aa48a900fc49f54dc","observation_id":"8929a0d9-000d-4502-847c-029fc2a5ec66","resolution":{"observed_at":"2026-05-11T12:41:01.788464Z","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/2411.13226/citation-record","integrity":"/paper/2411.13226/integrity","json":"/paper/2411.13226/citation-record.json","paper":"/paper/2411.13226"},"outbound":[],"paper":{"arxiv_id":"2411.13226","last_updated":"2024-11-20T11:41:08Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T19:53:08.203405Z","submitted_at":"2024-11-20T11:41:08Z","title":"AIDBench: A benchmark for evaluating the authorship identification capability of large language models"},"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 1 inbound Pith citation observation for arXiv:2411.13226."}