{"as_of":"2026-08-09T12:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:197ab623ea33f9585607cdafda37203b8e2e0e0d638e24bad2cfe068ebaaf2d5","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T12:59:25.114376Z","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":"2026-08-06T19:02:14.472643Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.03429","last_updated":"2024-04-21T02:18:47Z","snapshot_observed_at":"2026-08-09T07:24:10.462603Z","submitted_at":"2024-01-07T09:09:32Z","title":"MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.03429","snapshot_observed_at":"2026-08-07T12:59:25.114376Z","title":"Merbench: A unified evaluation benchmark for multimodal emotion recognition.arXiv preprint arXiv:2401.03429, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23018","last_updated":"2025-06-25T09:38:19Z","snapshot_observed_at":"2026-08-07T12:53:06.465103Z","submitted_at":"2025-05-29T02:56:08Z","title":"EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:59:25.114376Z"},"links":{"cited_paper":"/paper/2401.03429","citing_paper":"/paper/2505.23018"},"observation_digest":"sha256:1d2138c1ddf2b9b2a9b99330a1231eb48f2954d7d6dd727c358f7528e69d1ece","observation_id":"5ad35945-22a1-47b2-a09c-5819a2d7f182","resolution":{"observed_at":"2026-08-07T12:59:25.114376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03429","last_updated":"2024-04-21T02:18:47Z","snapshot_observed_at":"2026-08-09T07:24:10.462603Z","submitted_at":"2024-01-07T09:09:32Z","title":"MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition","version":3},"cited_work":{"arxiv_id":"2401.03429","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.03429","snapshot_observed_at":"2026-08-06T19:02:14.472643Z","title":"MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition","venue":"cs.HC","work_id":"62fd6bb1-ec1b-4111-ac3b-918db85af9a4","year":2024},"citing_paper":{"arxiv_id":"2507.06979","last_updated":"2025-07-09T16:07:17Z","snapshot_observed_at":"2026-08-06T18:47:44.548853Z","submitted_at":"2025-07-09T16:07:17Z","title":"A Principled Framework for Multi-View Contrastive Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T19:02:14.417015Z"},"links":{"cited_paper":"/paper/2401.03429","citing_paper":"/paper/2507.06979"},"observation_digest":"sha256:82f5dbcd462b822d08acc45255806cdefc49083590588fe7ad2d2a4b0402c44b","observation_id":"b225beb6-03f3-48a9-9087-773fcd2543b2","resolution":{"observed_at":"2026-08-06T19:02:14.478376Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03429","last_updated":"2024-04-21T02:18:47Z","snapshot_observed_at":"2026-08-09T07:24:10.462603Z","submitted_at":"2024-01-07T09:09:32Z","title":"MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.03429","snapshot_observed_at":"2026-08-04T05:37:55.000180Z","title":"Merbench: A unified evaluation benchmark for multimodal emotion recognition.arXiv preprint arXiv:2401.03429, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.00933","last_updated":"2026-08-03T02:50:39Z","snapshot_observed_at":"2026-08-09T05:24:45.142882Z","submitted_at":"2026-04-01T14:10:23Z","title":"EmoScene: A Dual-space Dataset for Controllable Affective Image Generation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T05:37:55.000180Z"},"links":{"cited_paper":"/paper/2401.03429","citing_paper":"/paper/2604.00933"},"observation_digest":"sha256:f99557110435eb5077c4d639866e09feab529d1d150540bea637f6d426f21966","observation_id":"b1d141b0-a596-4704-b11f-09e4471e1085","resolution":{"observed_at":"2026-08-04T05:37:55.000180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.03429/citation-record","integrity":"/paper/2401.03429/integrity","json":"/paper/2401.03429/citation-record.json","paper":"/paper/2401.03429"},"outbound":[],"paper":{"arxiv_id":"2401.03429","last_updated":"2024-04-21T02:18:47Z","latest_version":3,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-09T07:24:10.462603Z","submitted_at":"2024-01-07T09:09:32Z","title":"MERBench: A Unified Evaluation Benchmark for 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.03429."}