{"as_of":"2026-08-15T01:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f3eec5cef384743e5352ebfcaac814bc169a4e05cfccfb58f12d267c9360d82a","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":"2026-08-14T06:32:32.682623+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":"2026-08-10T11:47:26.547699Z","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":"2026-08-10T11:47:26.617965Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.12412","last_updated":"2023-05-21T09:22:41Z","snapshot_observed_at":"2026-08-14T21:02:53.208735Z","submitted_at":"2023-05-21T09:22:41Z","title":"EM Pre-training for Multi-party Dialogue Response Generation","version":1},"cited_work":{"arxiv_id":"2305.12412","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.12412","snapshot_observed_at":"2026-08-10T11:47:26.617965Z","title":"EM Pre-training for Multi-party Dialogue Response Generation","venue":"cs.CL","work_id":"0769e234-2eec-4df2-82c6-3452e726f7fb","year":2023},"citing_paper":{"arxiv_id":"2501.16643","last_updated":"2025-03-18T06:39:36Z","snapshot_observed_at":"2026-08-10T11:40:13.867695Z","submitted_at":"2025-01-28T02:27:55Z","title":"An LLM Benchmark for Addressee Recognition in Multi-modal Multi-party Dialogue","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T11:47:26.547699Z"},"links":{"cited_paper":"/paper/2305.12412","citing_paper":"/paper/2501.16643"},"observation_digest":"sha256:5c1e37d82d91a2eefbdec67180395ab7451be5b6b1b3358d079c67eb0acbadca","observation_id":"63a59c6c-d371-4fa9-b4fd-eb0a99a1b6e6","resolution":{"observed_at":"2026-08-10T11:47:26.623917Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.12412/citation-record","integrity":"/paper/2305.12412/integrity","json":"/paper/2305.12412/citation-record.json","paper":"/paper/2305.12412"},"outbound":[],"paper":{"arxiv_id":"2305.12412","last_updated":"2023-05-21T09:22:41Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T21:02:53.208735Z","submitted_at":"2023-05-21T09:22:41Z","title":"EM Pre-training for Multi-party Dialogue Response Generation"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.12412."}