{"as_of":"2026-08-10T04:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:502db0866773f7b87478c231025122f9b67d80f76e0ed46007cada63d1cf8e92","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:30:00.144663Z","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":"2026-07-03T23:19:03.662529Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.11161","last_updated":"2024-11-02T02:30:50Z","snapshot_observed_at":"2026-07-06T18:31:53.591578Z","submitted_at":"2024-06-17T03:01:22Z","title":"Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11161","snapshot_observed_at":"2026-08-07T15:30:00.144663Z","title":"Emotion-llama: Multimodal emotion recognition and reasoning with instruction tuning.arXiv preprint arXiv:2406.11161, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17090","last_updated":"2025-05-20T22:14:38Z","snapshot_observed_at":"2026-08-08T00:26:41.300341Z","submitted_at":"2025-05-20T22:14:38Z","title":"EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:30:00.144663Z"},"links":{"cited_paper":"/paper/2406.11161","citing_paper":"/paper/2505.17090"},"observation_digest":"sha256:24aea86de10b4a18fb927849bc181d8053130e61c4f9867285665d8a9ed40bb5","observation_id":"54f4f0a3-be67-4492-a5a9-ff14ac46d9dc","resolution":{"observed_at":"2026-08-07T15:30:00.144663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11161","last_updated":"2024-11-02T02:30:50Z","snapshot_observed_at":"2026-07-06T18:31:53.591578Z","submitted_at":"2024-06-17T03:01:22Z","title":"Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11161","snapshot_observed_at":"2026-08-07T12:27:31.899115Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24423","last_updated":"2025-05-30T10:02:15Z","snapshot_observed_at":"2026-08-09T21:48:06.786695Z","submitted_at":"2025-05-30T10:02:15Z","title":"MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:27:31.899115Z"},"links":{"cited_paper":"/paper/2406.11161","citing_paper":"/paper/2505.24423"},"observation_digest":"sha256:f4a1921848a49b0abfae173a61382803ef9805760e6a8e25cc64010e8cafa2af","observation_id":"b982fe8a-5fd2-4184-a16c-ff44e397627b","resolution":{"observed_at":"2026-08-07T12:27:31.899115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11161","last_updated":"2024-11-02T02:30:50Z","snapshot_observed_at":"2026-07-06T18:31:53.591578Z","submitted_at":"2024-06-17T03:01:22Z","title":"Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11161","snapshot_observed_at":"2026-08-05T17:13:06.075857Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16859","last_updated":"2025-08-23T01:10:29Z","snapshot_observed_at":"2026-08-10T00:37:54.667584Z","submitted_at":"2025-08-23T01:10:29Z","title":"Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmark","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T17:13:06.075857Z"},"links":{"cited_paper":"/paper/2406.11161","citing_paper":"/paper/2508.16859"},"observation_digest":"sha256:547a6307b9721a1b687af45a50a01337f96209ec510e3d4101ee23caa3ea7b73","observation_id":"7d1d0059-2042-4cb1-a8b4-f272ef124b2b","resolution":{"observed_at":"2026-08-05T17:13:06.075857Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11161","last_updated":"2024-11-02T02:30:50Z","snapshot_observed_at":"2026-07-06T18:31:53.591578Z","submitted_at":"2024-06-17T03:01:22Z","title":"Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11161","snapshot_observed_at":"2026-08-03T00:56:57.354844Z","title":"org/abs/2406.11161","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.11065","last_updated":"2026-05-28T11:37:06Z","snapshot_observed_at":"2026-08-07T11:50:35.561029Z","submitted_at":"2026-02-11T17:32:52Z","title":"S-MARC: Causal Streaming Reasoning for Full-Duplex Conversational Behavior Modeling","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T00:56:57.354844Z"},"links":{"cited_paper":"/paper/2406.11161","citing_paper":"/paper/2602.11065"},"observation_digest":"sha256:e4c179e345efc4a534ac3c09554b335b1e39d2354919b1cf07d13c30424f40cf","observation_id":"2a1d4b32-6fc1-461b-ac9d-eefffa3eedf9","resolution":{"observed_at":"2026-08-03T00:56:57.354844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11161","last_updated":"2024-11-02T02:30:50Z","snapshot_observed_at":"2026-07-06T18:31:53.591578Z","submitted_at":"2024-06-17T03:01:22Z","title":"Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning","version":2},"cited_work":{"arxiv_id":"2406.11161","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.11161","snapshot_observed_at":"2026-07-03T23:19:03.662529Z","title":"Emotion-LLaMA: Multimodal emotion recognition and reasoning with instruction tuning","venue":null,"work_id":"0fd6b32c-770b-4943-893d-364a06b55bd2","year":2024},"citing_paper":{"arxiv_id":"2605.08847","last_updated":"2026-05-09T10:01:21Z","snapshot_observed_at":"2026-08-02T06:59:30.684410Z","submitted_at":"2026-05-09T10:01:21Z","title":"EmoS: A High-Fidelity Multimodal Benchmark for Fine-grained Streaming Emotional Understanding","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-05-12T02:32:35.333227Z"},"links":{"cited_paper":"/paper/2406.11161","citing_paper":"/paper/2605.08847"},"observation_digest":"sha256:400b27b220230b6144fe5c35ef552ed92e06192e7f8b996b62702a5a99748df8","observation_id":"05143a29-e293-401b-9128-547b5478e8dc","resolution":{"observed_at":"2026-05-12T07:31:33.346783Z","resolver_source":"arxiv_id","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":"2406.11161","last_updated":"2024-11-02T02:30:50Z","snapshot_observed_at":"2026-07-06T18:31:53.591578Z","submitted_at":"2024-06-17T03:01:22Z","title":"Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning","version":2},"cited_work":{"arxiv_id":"2406.11161","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.11161","snapshot_observed_at":"2026-07-03T23:19:03.662529Z","title":"Emotion-LLaMA: Multimodal emotion recognition and reasoning with instruction tuning","venue":null,"work_id":"0fd6b32c-770b-4943-893d-364a06b55bd2","year":2024},"citing_paper":{"arxiv_id":"2605.19950","last_updated":"2026-05-19T15:05:00Z","snapshot_observed_at":"2026-07-06T23:30:35.042915Z","submitted_at":"2026-05-19T15:05:00Z","title":"AffectVerse: Emotional World Models for Multimodal Affective Computing","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-20T06:46:33.612905Z"},"links":{"cited_paper":"/paper/2406.11161","citing_paper":"/paper/2605.19950"},"observation_digest":"sha256:5f3c17fec0383baf3de773ea7ba48f22f785267f389446df5aee1e0268b4bcbb","observation_id":"df20e55d-0019-4b39-8213-052efefbc3be","resolution":{"observed_at":"2026-05-20T06:48:05.732125Z","resolver_source":"arxiv_id","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":"2406.11161","last_updated":"2024-11-02T02:30:50Z","snapshot_observed_at":"2026-07-06T18:31:53.591578Z","submitted_at":"2024-06-17T03:01:22Z","title":"Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning","version":2},"cited_work":{"arxiv_id":"2406.11161","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.11161","snapshot_observed_at":"2026-07-03T23:19:03.662529Z","title":"Emotion-LLaMA: Multimodal emotion recognition and reasoning with instruction tuning","venue":null,"work_id":"0fd6b32c-770b-4943-893d-364a06b55bd2","year":2024},"citing_paper":{"arxiv_id":"2606.18228","last_updated":"2026-06-16T17:53:34Z","snapshot_observed_at":"2026-08-06T20:53:09.461815Z","submitted_at":"2026-06-16T17:53:34Z","title":"MAJIC: Leveraging Articulatory Motion for Speech-based Emotion Recognition","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-26T22:32:15.878239Z"},"links":{"cited_paper":"/paper/2406.11161","citing_paper":"/paper/2606.18228"},"observation_digest":"sha256:39f44ed32bfd3c17f2f385806f4a006a7bc5f2d468581604c4685cd1fb38bc62","observation_id":"f5091445-bda1-45a3-ac7a-81037ecc562b","resolution":{"observed_at":"2026-07-03T23:19:03.665091Z","resolver_source":"arxiv_id","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":"2406.11161","last_updated":"2024-11-02T02:30:50Z","snapshot_observed_at":"2026-07-06T18:31:53.591578Z","submitted_at":"2024-06-17T03:01:22Z","title":"Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning","version":2},"cited_work":{"arxiv_id":"2406.11161","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.11161","snapshot_observed_at":"2026-07-03T23:19:03.662529Z","title":"Emotion-LLaMA: Multimodal emotion recognition and reasoning with instruction tuning","venue":null,"work_id":"0fd6b32c-770b-4943-893d-364a06b55bd2","year":2024},"citing_paper":{"arxiv_id":"2607.02089","last_updated":"2026-07-01T14:25:43Z","snapshot_observed_at":"2026-08-02T16:57:02.105465Z","submitted_at":"2026-07-01T14:25:43Z","title":"ESC: Emotional Self-Correction for Reliable Vision-Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-03T21:20:00.041277Z"},"links":{"cited_paper":"/paper/2406.11161","citing_paper":"/paper/2607.02089"},"observation_digest":"sha256:14b0f51a97af3f40d7f2cfbf5013f8a41190ceee56986e97a7ec07c5177cca11","observation_id":"d2774fdb-3e15-4740-936c-d51c16bd9fb2","resolution":{"observed_at":"2026-07-03T21:28:58.430833Z","resolver_source":"arxiv_id","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/2406.11161/citation-record","integrity":"/paper/2406.11161/integrity","json":"/paper/2406.11161/citation-record.json","paper":"/paper/2406.11161"},"outbound":[],"paper":{"arxiv_id":"2406.11161","last_updated":"2024-11-02T02:30:50Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T18:31:53.591578Z","submitted_at":"2024-06-17T03:01:22Z","title":"Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning"},"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 8 inbound Pith citation observations for arXiv:2406.11161."}