{"as_of":"2026-08-08T12:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:329f6c5e07c3097193efee88591de96958e51ac84a9bf0075b3dc17567760dc9","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T12:53:11.153551Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-23T21:23:27.691919Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.02455","last_updated":"2022-05-05T05:54:24Z","snapshot_observed_at":"2026-08-02T03:57:59.438119Z","submitted_at":"2022-05-05T05:54:24Z","title":"COGMEN: COntextualized GNN based Multimodal Emotion recognitioN","version":1},"cited_work":{"arxiv_id":"2205.02455","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.02455","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"COGMEN: contextualized GNN based multimodal emotion recognition","venue":null,"work_id":"2b7f9bc3-3ee4-41d0-b326-bcc4a4531905","year":2022},"citing_paper":{"arxiv_id":"2409.07388","last_updated":"2026-04-07T01:56:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-11T16:24:06Z","title":"Recent Advances in Multimodal Affective Computing: An NLP Perspective","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-23T21:19:06.228443Z"},"links":{"cited_paper":"/paper/2205.02455","citing_paper":"/paper/2409.07388"},"observation_digest":"sha256:d7eea9e77005afde1f35d7fc5e48c5497fb34486d2bdb4b562e82161a17836ff","observation_id":"7f94f0a6-d20c-428a-9d01-cb3316cda7a7","resolution":{"observed_at":"2026-05-23T21:23:27.695163Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2205.02455","last_updated":"2022-05-05T05:54:24Z","snapshot_observed_at":"2026-08-02T03:57:59.438119Z","submitted_at":"2022-05-05T05:54:24Z","title":"COGMEN: COntextualized GNN based Multimodal Emotion recognitioN","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.02455","snapshot_observed_at":"2026-08-06T12:53:11.153551Z","title":"Cogmen: Con- textualized gnn based multimodal emotion recognition,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21395","last_updated":"2025-07-29T00:03:28Z","snapshot_observed_at":"2026-08-06T12:53:09.509235Z","submitted_at":"2025-07-29T00:03:28Z","title":"Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T12:53:11.153551Z"},"links":{"cited_paper":"/paper/2205.02455","citing_paper":"/paper/2507.21395"},"observation_digest":"sha256:dd8287b418d0e840369ab2c0824b9d842e1745a9e813871adec356068fdb1c91","observation_id":"97c2495c-ea7d-4338-8bb3-b08d44e21a60","resolution":{"observed_at":"2026-08-06T12:53:11.153551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.02455","last_updated":"2022-05-05T05:54:24Z","snapshot_observed_at":"2026-08-02T03:57:59.438119Z","submitted_at":"2022-05-05T05:54:24Z","title":"COGMEN: COntextualized GNN based Multimodal Emotion recognitioN","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.02455","snapshot_observed_at":"2026-08-05T23:49:14.368091Z","title":"arXiv preprint arXiv:2205.02455 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.06564","last_updated":"2025-08-13T17:11:05Z","snapshot_observed_at":"2026-08-05T23:49:06.316248Z","submitted_at":"2025-08-06T19:43:58Z","title":"Grounding Emotion Recognition with Visual Prototypes: VEGA -- Revisiting CLIP in MERC","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-05T23:49:14.368091Z"},"links":{"cited_paper":"/paper/2205.02455","citing_paper":"/paper/2508.06564"},"observation_digest":"sha256:232c15249021c4da15f16ae2b3b450bf6332c29e214e2a9d96db3fa98af4ea8c","observation_id":"71107452-4ff8-4f9e-9f19-fabd9d5f17b7","resolution":{"observed_at":"2026-08-05T23:49:14.368091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2205.02455/citation-record","integrity":"/paper/2205.02455/integrity","json":"/paper/2205.02455/citation-record.json","paper":"/paper/2205.02455"},"outbound":[],"paper":{"arxiv_id":"2205.02455","last_updated":"2022-05-05T05:54:24Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-02T03:57:59.438119Z","submitted_at":"2022-05-05T05:54:24Z","title":"COGMEN: COntextualized GNN based Multimodal 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":"2026-08-08T06:32:00.761636+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 3 inbound Pith citation observations for arXiv:2205.02455."}