{"as_of":"2026-08-10T04:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c6d0cf7a22f95fb0fcd3da5cf557110d39c6b47fe388315414122ed959b8fae8","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":"2026-08-09T06:31:02.800959+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":"2026-08-05T16:20:50.038684Z","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":"2026-08-05T16:20:50.184412Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2105.12907","last_updated":"2021-09-16T02:22:09Z","snapshot_observed_at":"2026-07-06T11:13:10.201132Z","submitted_at":"2021-05-27T01:51:37Z","title":"Directed Acyclic Graph Network for Conversational Emotion Recognition","version":2},"cited_work":{"arxiv_id":"2105.12907","doi":null,"metadata_source":"pith","pith_arxiv_id":"2105.12907","snapshot_observed_at":"2026-08-05T16:20:50.184412Z","title":"Directed Acyclic Graph Network for Conversational Emotion Recognition","venue":"cs.CL","work_id":"e94d9e7f-ee3e-4c23-a60d-5ed0d6844946","year":2021},"citing_paper":{"arxiv_id":"2508.18740","last_updated":"2025-08-26T07:14:27Z","snapshot_observed_at":"2026-08-07T03:47:38.598068Z","submitted_at":"2025-08-26T07:14:27Z","title":"M3HG: Multimodal, Multi-scale, and Multi-type Node Heterogeneous Graph for Emotion Cause Triplet Extraction in Conversations","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T16:20:50.038684Z"},"links":{"cited_paper":"/paper/2105.12907","citing_paper":"/paper/2508.18740"},"observation_digest":"sha256:59a525d14b3b652c5d3a82916064065a515a2d4f474b6a49cc62458217d7c288","observation_id":"b395fc38-a8ee-4e59-af77-97e1b9b87d86","resolution":{"observed_at":"2026-08-05T16:20:50.188847Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2105.12907/citation-record","integrity":"/paper/2105.12907/integrity","json":"/paper/2105.12907/citation-record.json","paper":"/paper/2105.12907"},"outbound":[],"paper":{"arxiv_id":"2105.12907","last_updated":"2021-09-16T02:22:09Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T11:13:10.201132Z","submitted_at":"2021-05-27T01:51:37Z","title":"Directed Acyclic Graph Network for Conversational Emotion Recognition"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2105.12907."}