{"as_of":"2026-08-23T01:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:006064400079b7c157b64b0d6822271739fb4d975cc3765ed0370f3f190bbf27","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":"2026-08-22T06:32:14.747728+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":"2026-08-07T11:27:55.946358Z","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":"2026-08-07T11:27:56.312788Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.08596","last_updated":"2022-05-14T03:41:39Z","snapshot_observed_at":"2026-08-16T17:34:13.409484Z","submitted_at":"2021-12-16T03:44:01Z","title":"Guiding Neural Story Generation with Reader Models","version":2},"cited_work":{"arxiv_id":"2112.08596","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.08596","snapshot_observed_at":"2026-08-07T11:27:56.312788Z","title":"Guiding Neural Story Generation with Reader Models","venue":"cs.CL","work_id":"439dc585-8962-4722-9ba0-3f31da2dd823","year":2021},"citing_paper":{"arxiv_id":"2506.02347","last_updated":"2025-06-03T00:54:00Z","snapshot_observed_at":"2026-08-16T01:16:04.333542Z","submitted_at":"2025-06-03T00:54:00Z","title":"STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T11:27:55.946358Z"},"links":{"cited_paper":"/paper/2112.08596","citing_paper":"/paper/2506.02347"},"observation_digest":"sha256:37e3567b76137d66b5385f45b94347d8158d39eb88f868ba879a5ce647a213cc","observation_id":"f9df868b-05e9-4fb8-b1a4-7bc6c5a65cd1","resolution":{"observed_at":"2026-08-07T11:27:56.317369Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2112.08596/citation-record","integrity":"/paper/2112.08596/integrity","json":"/paper/2112.08596/citation-record.json","paper":"/paper/2112.08596"},"outbound":[],"paper":{"arxiv_id":"2112.08596","last_updated":"2022-05-14T03:41:39Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T17:34:13.409484Z","submitted_at":"2021-12-16T03:44:01Z","title":"Guiding Neural Story Generation with Reader 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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2112.08596."}