{"as_of":"2026-08-08T19:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5a70065cab9cd986af10a637352f48b0b2877d4d5c146b402958a50105b5c1aa","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T00:54:50.617747Z","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":"2026-08-07T00:54:50.809926Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.01587","last_updated":"2022-11-08T15:21:11Z","snapshot_observed_at":"2026-08-02T17:50:25.305821Z","submitted_at":"2022-11-03T04:48:38Z","title":"Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation","version":2},"cited_work":{"arxiv_id":"2211.01587","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.01587","snapshot_observed_at":"2026-08-07T00:54:50.809926Z","title":"Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation","venue":"cs.CL","work_id":"459a03e4-3f45-42a0-a772-1b5e155c034f","year":2022},"citing_paper":{"arxiv_id":"2506.12496","last_updated":"2025-08-07T16:23:33Z","snapshot_observed_at":"2026-08-07T00:45:30.139296Z","submitted_at":"2025-06-14T13:17:27Z","title":"Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T00:54:50.617747Z"},"links":{"cited_paper":"/paper/2211.01587","citing_paper":"/paper/2506.12496"},"observation_digest":"sha256:bb1ba2e5263b4460688f738a18a767865e467b69fc3fd817e75295db06abbd3f","observation_id":"363cd131-dc4b-466b-8124-098764471d40","resolution":{"observed_at":"2026-08-07T00:54:50.814350Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2211.01587/citation-record","integrity":"/paper/2211.01587/integrity","json":"/paper/2211.01587/citation-record.json","paper":"/paper/2211.01587"},"outbound":[],"paper":{"arxiv_id":"2211.01587","last_updated":"2022-11-08T15:21:11Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-02T17:50:25.305821Z","submitted_at":"2022-11-03T04:48:38Z","title":"Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2211.01587."}