{"as_of":"2026-08-13T08:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a943f4981d4d73b8f6d129b4f5a8d33db74eefb46571fbf27a790cce5194529b","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":"2026-08-12T11:15:44.915113Z","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":"2026-08-12T12:16:16.734455Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2208.00748","last_updated":"2022-12-27T05:55:42Z","snapshot_observed_at":"2026-08-12T16:14:56.356663Z","submitted_at":"2022-08-01T11:14:39Z","title":"Efficient Long-Text Understanding with Short-Text Models","version":3},"cited_work":{"arxiv_id":"2208.00748","doi":"10.48550/arxiv.2208.00748","metadata_source":"pith","pith_arxiv_id":"2208.00748","snapshot_observed_at":"2026-08-12T12:16:16.734455Z","title":"Efficient Long-Text Understanding with Short-Text Models","venue":"cs.CL","work_id":"002d4d97-370b-4c30-a065-6f62c1d00d62","year":2022},"citing_paper":{"arxiv_id":"2411.18444","last_updated":"2024-11-27T15:35:32Z","snapshot_observed_at":"2026-08-12T16:14:41.035802Z","submitted_at":"2024-11-27T15:35:32Z","title":"Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-12T11:15:44.915113Z"},"links":{"cited_paper":"/paper/2208.00748","citing_paper":"/paper/2411.18444"},"observation_digest":"sha256:14fce4129ceb16859958977f8c1e2ba91bc0ad883b7edbcb67febea7df6459f1","observation_id":"09bf218b-3910-4fd0-bb36-c61da690a4db","resolution":{"observed_at":"2026-08-12T11:15:45.192737Z","resolver_source":"local_arxiv","status":"verified_exact"},"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/2208.00748/citation-record","integrity":"/paper/2208.00748/integrity","json":"/paper/2208.00748/citation-record.json","paper":"/paper/2208.00748"},"outbound":[],"paper":{"arxiv_id":"2208.00748","last_updated":"2022-12-27T05:55:42Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T16:14:56.356663Z","submitted_at":"2022-08-01T11:14:39Z","title":"Efficient Long-Text Understanding with Short-Text 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":"2026-08-13T06:32:02.005865+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:2208.00748."}