{"as_of":"2026-08-11T02:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8d713aed6bd3b9e04d5ae7c962e4ddcba897786439066aafd6b992efc2013511","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T18:37:19.332146Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1905.02947","last_updated":"2019-05-08T07:46:30Z","snapshot_observed_at":"2026-08-11T01:41:51.275368Z","submitted_at":"2019-05-08T07:46:30Z","title":"Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.02947","snapshot_observed_at":"2026-08-10T18:37:19.332146Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.11166","last_updated":"2025-01-19T20:56:45Z","snapshot_observed_at":"2026-08-10T18:32:17.455162Z","submitted_at":"2025-01-19T20:56:45Z","title":"AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T18:37:19.332146Z"},"links":{"cited_paper":"/paper/1905.02947","citing_paper":"/paper/2501.11166"},"observation_digest":"sha256:073b2f2c893d81c34a10827c9490aa990d11c05c5108fd5ba4f77104549088fe","observation_id":"23568574-a3e4-41eb-a181-4650c6ec1023","resolution":{"observed_at":"2026-08-10T18:37:19.332146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.02947","last_updated":"2019-05-08T07:46:30Z","snapshot_observed_at":"2026-08-11T01:41:51.275368Z","submitted_at":"2019-05-08T07:46:30Z","title":"Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances","version":1},"cited_work":{"arxiv_id":"1905.02947","doi":"10.48550/arxiv.1905.02947","metadata_source":"pith","pith_arxiv_id":"1905.02947","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances","venue":"cs.CL","work_id":"dec84281-0e48-4380-852d-3fc8d7db377e","year":2019},"citing_paper":{"arxiv_id":"2607.14769","last_updated":"2026-07-16T09:53:00Z","snapshot_observed_at":"2026-08-10T08:37:41.549911Z","submitted_at":"2026-07-16T09:53:00Z","title":"Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-02T01:09:01.437664Z"},"links":{"cited_paper":"/paper/1905.02947","citing_paper":"/paper/2607.14769"},"observation_digest":"sha256:6eb4474222d1125806af7bb3c0825fdae83582738df5b880b36102260b20d127","observation_id":"d713807f-8ce5-4005-b0a4-f7364dcc06d8","resolution":{"observed_at":"2026-08-02T01:14:13.910703Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1905.02947/citation-record","integrity":"/paper/1905.02947/integrity","json":"/paper/1905.02947/citation-record.json","paper":"/paper/1905.02947"},"outbound":[],"paper":{"arxiv_id":"1905.02947","last_updated":"2019-05-08T07:46:30Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-11T01:41:51.275368Z","submitted_at":"2019-05-08T07:46:30Z","title":"Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.02947."}