{"as_of":"2026-08-09T15:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ee2af909089cc68048ede0f87bbfd6b6aea92ed5bb0122b2cf73296654bf7e63","coverage":[{"denominator":93,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":93,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-30T22:55:28.033398Z","state":"measured"},{"denominator":93,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":93,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.26726/citation-record","integrity":"/paper/2607.26726/integrity","json":"/paper/2607.26726/citation-record.json","paper":"/paper/2607.26726"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.477609Z","title":"Aho and Jeffrey D","venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.477609Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:bc472df7f7644ef2f48a13ebafc4ee660df3add93790b9ddbbc296fb1e2c2184","observation_id":"02fccd00-5991-4fc1-9963-1ff86587b338","resolution":{"observed_at":"2026-07-30T22:55:27.477609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.485670Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.485670Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:600592ca95e2ea5ea5e50cb82f9ea0d26c6e10c1a62930c4dd0e085d57c96e3a","observation_id":"e171e8b4-55ce-4ed2-abae-f856ad0fa1f0","resolution":{"observed_at":"2026-07-30T22:55:27.485670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.492469Z","title":"Chandra and Dexter C","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.492469Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:d1151f8f859a6142cd1af7fd1eb4b51a29df0c95719f21fe21fca9850be842a9","observation_id":"76ec1954-bcb8-4e37-97f7-659493c3ff33","resolution":{"observed_at":"2026-07-30T22:55:27.492469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.497913Z","title":"Scalable training of","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.497913Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:32e8799272dfe2e7468209dd45141a149b09806a71d856c2f1ca481bb32d8364","observation_id":"e07067ad-0550-40db-8cb4-a1bc8d52173b","resolution":{"observed_at":"2026-07-30T22:55:27.497913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.503667Z","title":"1997 , publisher =","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.503667Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:653f95ed6030dfce4798f3ade9e3578281da7218c9db2febaf8694c002abe57b","observation_id":"eb499030-86f6-43c8-a1ab-8ba1db2a398a","resolution":{"observed_at":"2026-07-30T22:55:27.503667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.509159Z","title":"Tetreault , title =","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.509159Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:b36a18a4bb91e329ad177ae753d656f567125d6dd4e7b22b2130accccf7424b7","observation_id":"f52335c1-33e1-417b-8fe6-e99f052988b9","resolution":{"observed_at":"2026-07-30T22:55:27.509159Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.514598Z","title":"A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.514598Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:908781814fae18f518be0c83521b594b76e24beef373d1a1344ee3305b97b3b0","observation_id":"f7eedca3-31a8-41c0-8518-7d046021c14e","resolution":{"observed_at":"2026-07-30T22:55:27.514598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.522489Z","title":"Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities , booktitle =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.522489Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:0a319d644e31688c4899298f09af5221bc345bdc99dd34b0e7d1bf78447200b0","observation_id":"0a7722e2-e4e3-4de8-9c4e-67f078215d86","resolution":{"observed_at":"2026-07-30T22:55:27.522489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.528052Z","title":"Scientific Reports , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.528052Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:85717baa1837514a9331be51f54c117c8eef495a94b6e65dd49efc9e7b44e586","observation_id":"083a8e43-799a-462d-bdab-aa1f840a3668","resolution":{"observed_at":"2026-07-30T22:55:27.528052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.533750Z","title":"International Journal of Data Science and Analytics , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.533750Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:9c06a4ac8ca03b026c54600b7a6b8d63f1a8359859792241be1d46df9cb542e2","observation_id":"208056c9-f90e-4e9f-b65c-89480378fb51","resolution":{"observed_at":"2026-07-30T22:55:27.533750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.540386Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.540386Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:9a95a1c8f07edefcd5002b1897b5ca0dfb5d0b6c015f92b4e514e804c63c168a","observation_id":"e2b8c8e1-5dff-4da5-85b5-137f0cbef08b","resolution":{"observed_at":"2026-07-30T22:55:27.540386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.546417Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.546417Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:7329ae460a2b70c886aa6231ad89a965590c978887ce8dcba3debc7404d773e5","observation_id":"dcd23489-074c-48f5-81b6-2eb3cf4b14c5","resolution":{"observed_at":"2026-07-30T22:55:27.546417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.552653Z","title":"Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation , booktitle =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.552653Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:d2f562e371876c11070aed8f3c128807f0ce6bd4cd96a4a54b853974d8ccce4c","observation_id":"fbf955f0-04c9-455b-b49c-0886de58388b","resolution":{"observed_at":"2026-07-30T22:55:27.552653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.558392Z","title":"Language Resources and Evaluation , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.558392Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:aa32966224c242a94a73b902434754d98e8e069497c5e8834b74a28436e0b7fc","observation_id":"f2185758-5e17-46cc-b11b-1a4de935507f","resolution":{"observed_at":"2026-07-30T22:55:27.558392Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.564723Z","title":"Learning What and When to Drop: Adaptive Multimodal and Contextual Dynamics for Emotion Recognition in Conversation , booktitle =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.564723Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:2bb09b45f136b782e0247443daca37113f9917357387ae0db38b711d1f583ceb","observation_id":"f7adf00c-afe0-496b-abb3-9d7e341b756f","resolution":{"observed_at":"2026-07-30T22:55:27.564723Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.570543Z","title":"Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation , booktitle =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.570543Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:81e04387db2803b5c66e0ca2f78b788b274c5aab18bb8ae75aa81321ea5576a0","observation_id":"a78ab4db-1136-48c7-80ab-ae8e185cfed4","resolution":{"observed_at":"2026-07-30T22:55:27.570543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.575611Z","title":"CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition , booktitle =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.575611Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:19f39c6ff964b7b22416349a54e0604e9d6e5a6be0dd8355dfdbf4d859f86413","observation_id":"0ca31908-4789-4a65-8f0d-8caac98ba1ac","resolution":{"observed_at":"2026-07-30T22:55:27.575611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.580407Z","title":"IEEE MultiMedia , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.580407Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:80669d6f9e8f443ea9aeb61c67931fb19ba07ccb38db825074b0b16148358520","observation_id":"0d5c83bf-86fa-4234-beb3-8b91bd397559","resolution":{"observed_at":"2026-07-30T22:55:27.580407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.585995Z","title":"Electronics , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.585995Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:557a887726f36b4620f8bd831c3e7930713b9ea438ad40438d01b14baacf43de","observation_id":"ce5448f8-e425-4050-848b-c5ccd7f64a38","resolution":{"observed_at":"2026-07-30T22:55:27.585995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.591017Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.591017Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:333952aa4e37ce4a882797a112bb179273862cbff2f93301f8e3da98c38d0b94","observation_id":"00a29597-75ba-4e07-b65c-3731f74427d9","resolution":{"observed_at":"2026-07-30T22:55:27.591017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.595788Z","title":"SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation , booktitle =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.595788Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:bf5dadbcf5ba025d91b02bc1e286e6cf93005b36bf60a2b4fd7bb6da4c13c8cf","observation_id":"0b6b0f74-ffe3-4338-a11c-2c07fedf521f","resolution":{"observed_at":"2026-07-30T22:55:27.595788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.600807Z","title":"DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation , booktitle =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.600807Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:52592934d46dd80a1335b0639b416b849222a3d8fc682fc89eab28f1fbdcb49e","observation_id":"b6715fd7-97cc-484d-a509-a6bcda15528b","resolution":{"observed_at":"2026-07-30T22:55:27.600807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.605840Z","title":"COSMIC: COmmonSense Knowledge for eMotion Identification in Conversations , booktitle =","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.605840Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:6049bfaffa36b6c85c1ad7f346c57de787ef78db6a4a515fd32b0cba0e3fad93","observation_id":"aacc9f71-3b35-4668-b6d0-9c831a266095","resolution":{"observed_at":"2026-07-30T22:55:27.605840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.611300Z","title":"Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation , booktitle =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.611300Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:20bb50e5da85ba6aa43fc0c281863ec9aece9cb2c3cc191d4f7feba26179428d","observation_id":"dd5b54ab-df25-4f08-9637-914a92390a07","resolution":{"observed_at":"2026-07-30T22:55:27.611300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.616160Z","title":"Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos , booktitle =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.616160Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:0cfe0eb6fcba19c389ce230de40d8daff91a59937a8ed4b86b5278637c846957","observation_id":"c02f16a2-0f4b-4312-ba5d-d7688a308e08","resolution":{"observed_at":"2026-07-30T22:55:27.616160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.621953Z","title":"MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation , booktitle =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.621953Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:6b592431bd7845c1b1930d8543d49e445bc08bc4b55c04a40d14f66ef8310bb1","observation_id":"65d9ee15-2f09-4ade-8074-41fd51b8a2b4","resolution":{"observed_at":"2026-07-30T22:55:27.621953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.627895Z","title":"DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations , booktitle =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.627895Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:d2a37eb0a3be9e0099947f3aff78d8ad14cf99366cb948359a12934cfc306463","observation_id":"d3a62a84-48cd-4dcb-95bc-4402eaa1628d","resolution":{"observed_at":"2026-07-30T22:55:27.627895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.633059Z","title":"MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations , booktitle =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.633059Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:5f371d4521db13ceee9813ec9c647a400cfe7503628761c22ffe0772df0562d1","observation_id":"6d920c5a-5f0f-422a-8395-c319032c7208","resolution":{"observed_at":"2026-07-30T22:55:27.633059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.638026Z","title":"UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition , booktitle =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.638026Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:a134ec991bf8b2555ada8c281473487f792566324aadd1fc08c0882b32ad6b71","observation_id":"57ea9e25-6048-4da1-963d-48aaf4d95e20","resolution":{"observed_at":"2026-07-30T22:55:27.638026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.643197Z","title":"Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations , booktitle =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.643197Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:e01bc23bf6f080a1b186aef9039f88902201a9a696769640abd5135a4460a565","observation_id":"6af9e31a-8782-47d5-a5c0-0fcaa572816b","resolution":{"observed_at":"2026-07-30T22:55:27.643197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.648017Z","title":"Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmark , booktitle =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.648017Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:c8d5786bf6782cdf69b77c976ad9eaa667bd8347ad086237a69e09cc73695d44","observation_id":"c6320d10-f7b3-4383-a2f3-18b0371c4672","resolution":{"observed_at":"2026-07-30T22:55:27.648017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.653547Z","title":"Exploiting Unsupervised Data for Emotion Recognition in Conversations , booktitle =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.653547Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:2ecb9efd8e1533ba5640ef7b40cbded3e5d7c146dced8d7ef705894b202158c4","observation_id":"97194211-38d4-42dd-a2cd-779c578ade1e","resolution":{"observed_at":"2026-07-30T22:55:27.653547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.659236Z","title":"Causal-ERC: A Multimodal Framework with Causal Prompting for Emotion Recognition in Conversations with Large Language Models , booktitle =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.659236Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:58eabee723a74bb08cb76c7e123891f6767816687b2f48d93b7d0c12343ec6de","observation_id":"62d7a0bd-48dc-4427-b286-4ab34152f85a","resolution":{"observed_at":"2026-07-30T22:55:27.659236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.664909Z","title":"Beyond Single Emotion: Multi-Label Approach to Conversational Emotion Recognition , booktitle =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.664909Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:821066ffc3b6cbfd796ac525ac67ed6a88cfc40a8d3dfbc6b685636a6e8ad931","observation_id":"c016dd8c-5f08-4a6a-9997-db7138f8df23","resolution":{"observed_at":"2026-07-30T22:55:27.664909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.674341Z","title":"PFA-ERC: Psuedo-Future Augmented Dynamic Emotion Recognition in Conversations , booktitle =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.674341Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:3d97eb21c8dd6dd54fffb64227710c0f171da12473cc0f5d7dba9b7e25a16e01","observation_id":"30355569-7f04-4ef5-b08f-ecf6be8d6976","resolution":{"observed_at":"2026-07-30T22:55:27.674341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.12009","last_updated":"2021-08-26T19:34:26Z","snapshot_observed_at":"2026-07-06T11:41:55.279147Z","submitted_at":"2021-08-26T19:34:26Z","title":"EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.12009","snapshot_observed_at":"2026-07-30T22:55:27.682177Z","title":"2108.12009 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.682177Z"},"links":{"cited_paper":"/paper/2108.12009","citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:daf251cf09c66625f1d65e1ece73ddf9d53c157b8a35b9fb8cf0fcd3c1de117c","observation_id":"ebd41503-407f-466f-9a3f-27207b74939a","resolution":{"observed_at":"2026-07-30T22:55:27.682177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11911","last_updated":"2024-08-29T05:14:36Z","snapshot_observed_at":"2026-08-09T05:40:16.745549Z","submitted_at":"2023-09-21T09:22:07Z","title":"InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.11911","snapshot_observed_at":"2026-07-30T22:55:27.687973Z","title":"2309.11911 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.687973Z"},"links":{"cited_paper":"/paper/2309.11911","citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:cb2fb59547e214993aff973a3a53c2b970e2269ab09f03a4f65fcd4a17caa9e2","observation_id":"435682b6-f3cd-4119-8cb6-f05f1bf49b3f","resolution":{"observed_at":"2026-07-30T22:55:27.687973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.693926Z","title":"DailyDialog: A Manually Labelled Multi-Turn Dialogue Dataset , booktitle =","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.693926Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:500d5f355d3296b93007aeb442f3b53f02c7c3c8f69bf21ed95171ece9a77da5","observation_id":"50ccc01f-9b77-427a-a96a-42c7b282b9f8","resolution":{"observed_at":"2026-07-30T22:55:27.693926Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.698282Z","title":"HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations , booktitle =","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.698282Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:8dfff30e9148af792d7814c4476caaebb13ca637122ff15213b85d33e471a982","observation_id":"3395bc29-82b5-4e44-9d98-c4fd415fb40a","resolution":{"observed_at":"2026-07-30T22:55:27.698282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.704523Z","title":"Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge , booktitle =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.704523Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:57f353fdaeda20f9079f4948def45beaae6cec23e4618e0ba7f538c4cb5fdf98","observation_id":"ae07f731-8613-4afa-ab7d-9344c4cdb1e5","resolution":{"observed_at":"2026-07-30T22:55:27.704523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.709236Z","title":"Neurocomputing , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.709236Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:6629040c37cf156227573d451cc5ae7a8819884cf98ddec8c6868da58912ec42","observation_id":"884f2a53-c594-49e1-bb15-0567f728dce3","resolution":{"observed_at":"2026-07-30T22:55:27.709236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.714757Z","title":"Knowledge-Based Systems , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.714757Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:4f1f5ab08c1dde50ab699487eb7d6a0f2949023bc85c706522c0399c7eb82128","observation_id":"cab3a840-00c4-4283-920a-58d0d746f972","resolution":{"observed_at":"2026-07-30T22:55:27.714757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.719975Z","title":"IEEE Transactions on Multimedia , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.719975Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:658f9bc6d197b56f8402fac4494c6a12d600234a590b15eac5e22f72d69d3561","observation_id":"8e08c874-ef26-4b46-877c-54a7bcb7934f","resolution":{"observed_at":"2026-07-30T22:55:27.719975Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.725116Z","title":"IEEE Transactions on Affective Computing , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.725116Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:caae46d50bfc452cbbffe0350410c21fdd34051ee8c7c30de34c0c4980ab26af","observation_id":"255c44c2-4e78-4359-be20-d431dd2ab0e4","resolution":{"observed_at":"2026-07-30T22:55:27.725116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.731245Z","title":"IEEE Transactions on Affective Computing , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.731245Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:905f12b9be8a7b7195babe3b92a2810b46d49556bd03ea027f5e295db4407894","observation_id":"73277aa4-ba11-489f-91b8-4814c2bd4b69","resolution":{"observed_at":"2026-07-30T22:55:27.731245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.737108Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.737108Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:5bf4634505ed6206d2e7dca677371e3ee6095f9cfec51840b4765ce73efbcbb4","observation_id":"0d49e31f-6fed-4595-b691-87f65e1b2edf","resolution":{"observed_at":"2026-07-30T22:55:27.737108Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.744102Z","title":"2508.01318 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.744102Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:6a41fece249b775c56815503a7c66533cdc92ef4135d3e1999a580c54796db12","observation_id":"1dd6ee04-2d0a-45e1-83ac-ce0274219122","resolution":{"observed_at":"2026-07-30T22:55:27.744102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.750162Z","title":"IEEE Transactions on Multimedia , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.750162Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:71059ce0c23f210f31d438ed8f102dd99d99377fa3e807824ed84957a2ccf187","observation_id":"4a7ea6c6-6e01-46ce-b3e8-5bbb4d977dec","resolution":{"observed_at":"2026-07-30T22:55:27.750162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.756092Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.756092Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:b83667c4e5310030493fc9cbd1aba10b415cb93d14ecb1ee2bcbb4b9af3c4bdd","observation_id":"cc7f654b-2aaa-4044-ba54-ba9baf3e3a60","resolution":{"observed_at":"2026-07-30T22:55:27.756092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.761472Z","title":"DialogueRNN: An Attentive RNN for Emotion Detection in Conversations , booktitle =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.761472Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:b078167618fc6645bdc2c3e21bf174f65015c67408b9e4b0101dc3b4189ba4d3","observation_id":"40183cc0-fc00-48b5-97d1-3f52c30daea5","resolution":{"observed_at":"2026-07-30T22:55:27.761472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.766378Z","title":"DialogueTRM: Exploring Multi-Modal Emotional Dynamics in a Conversation , booktitle =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.766378Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:87857f75d5ed586ef01ca06c6d0a6b4ca160d62bf1ced6425d0beb00f4b98990","observation_id":"ea6aeef6-feeb-4c55-a398-fbb8fb254411","resolution":{"observed_at":"2026-07-30T22:55:27.766378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.773910Z","title":"Ada2I: Enhancing Modality Balance for Multimodal Conversational Emotion Recognition , booktitle =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.773910Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:1528731836b102cdcf714723ff49ae3737751bf78396846b72ee10f6e56b3a60","observation_id":"972d2955-0911-4158-aef7-996a83e2740f","resolution":{"observed_at":"2026-07-30T22:55:27.773910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.780728Z","title":"Context-Dependent Sentiment Analysis in User-Generated Videos , booktitle =","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.780728Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:58cff624acdaac373a8e27945d67a5efd1329269b8184b3ed24096afb337cd58","observation_id":"ac210552-d91a-4478-bf26-691b65b20487","resolution":{"observed_at":"2026-07-30T22:55:27.780728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.785276Z","title":"MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations , booktitle =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.785276Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:2df161caa4cee478b5bef39bf337ed9e545fef105964172191999b4d5a4c015a","observation_id":"4b535c91-dea5-46d0-aab7-ee6e708e3e8f","resolution":{"observed_at":"2026-07-30T22:55:27.785276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.791776Z","title":"IEEE Access , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.791776Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:22f61741df5bca00da04e2882a32acce33d05a6887b9b8bf12ba11ed74e2c2d5","observation_id":"382f07df-d036-44b0-9e40-ce8dde86561f","resolution":{"observed_at":"2026-07-30T22:55:27.791776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.799743Z","title":"IEEE Transactions on Affective Computing , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.799743Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:56ac2b14892b369a664fa7962d84773baeaac94410dbe36859b7a3ba75783256","observation_id":"f6fa5e5b-f443-40a6-9d5d-1f9fc7d318c2","resolution":{"observed_at":"2026-07-30T22:55:27.799743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.805716Z","title":"Directed Acyclic Graph Network for Conversational Emotion Recognition , booktitle =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.805716Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:8326ba2c9f26b643052868b47defe5f9ac9eace6b220aefd7cbd93efbe9e3e24","observation_id":"a352c79d-4683-4057-9686-c941842231c3","resolution":{"observed_at":"2026-07-30T22:55:27.805716Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.812017Z","title":"DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition , booktitle =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.812017Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:61a0fd5927341b49b4267814caaf59ed376d3d658f6ed41306e344d3f60e4b04","observation_id":"f160d89a-d755-4905-adee-b121634c6f4c","resolution":{"observed_at":"2026-07-30T22:55:27.812017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.817636Z","title":"MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations , booktitle =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.817636Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:218881295564d8e823b7a53efb3ed91d07cefd2a9d8b8e0e2340714332152193","observation_id":"30ca99b3-4534-4dcb-b5e3-e49875dd0678","resolution":{"observed_at":"2026-07-30T22:55:27.817636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.823533Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.823533Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:54cb125d001b21dcaf756f157881db119ce8e1f322f872588166ca281e864102","observation_id":"8c25716e-2b80-46c5-81c4-d15f9cbb37a5","resolution":{"observed_at":"2026-07-30T22:55:27.823533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.831481Z","title":"2509.24322 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.831481Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:5a240a0c1c9506251ecdb8f7aa87ecb154fb2cd95961b9506bd4a8b5195d101e","observation_id":"4874602b-e358-41dd-9ab1-7877370fc521","resolution":{"observed_at":"2026-07-30T22:55:27.831481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.837298Z","title":"Dynamic Graph Neural ODE Network for Multi-Modal Emotion Recognition in Conversation , booktitle =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.837298Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:e2ee1a6485b95f380995ce24ea21c7f19a8c33e779945d2e127e43b84fd93727","observation_id":"e10e4dbb-d772-40e2-b25a-3eebf50c73b7","resolution":{"observed_at":"2026-07-30T22:55:27.837298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.842363Z","title":"Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning , booktitle =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.842363Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:427f1ed5b5af3286ea7c5c3ae6bd23ba2d5a3bdd57a835372adf02bdf01e35b7","observation_id":"1c814305-a93c-4395-8789-d6f8f131ca87","resolution":{"observed_at":"2026-07-30T22:55:27.842363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.847872Z","title":"Engineering Applications of Artificial Intelligence , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.847872Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:f1ce6d9ee97ac31cd6ded748d5faed6ca123bfaa89e76d2a5b4e5adc28ed79db","observation_id":"a7d5f659-f279-4f8d-8417-23bf73f81dfc","resolution":{"observed_at":"2026-07-30T22:55:27.847872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.853669Z","title":"Adaptive Graph Learning for Multimodal Conversational Emotion Detection , booktitle =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.853669Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:66fe7703a5ca9a8fb668693a35ff1e9826debc7829931cd5fa3532c79d9338e3","observation_id":"51f45255-fd87-4144-bcea-c847ba0e0032","resolution":{"observed_at":"2026-07-30T22:55:27.853669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.860053Z","title":"Contextualized Emotion Recognition in Conversation as Sequence Tagging , booktitle =","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.860053Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:b9d8188a6383dbbaa52a8f35bd30a42e58bf71c30a96a32a15c1f8d3643063d4","observation_id":"b067f786-7229-407f-9af2-080acbc8a9de","resolution":{"observed_at":"2026-07-30T22:55:27.860053Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.868006Z","title":"Emotion Recognition in Conversation via Dynamic Personality , booktitle =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.868006Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:03fd11705f2f627ab61a71d9e93ec9bf0bbd507e71172800da068241c3bf361a","observation_id":"2a36c153-ef58-461f-8c67-7120b430f782","resolution":{"observed_at":"2026-07-30T22:55:27.868006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.873342Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.873342Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:94435082b30cc1a739acaf9f0189941f699bb082cd4c43f7ef22050826e7930e","observation_id":"3eb9c8b9-d175-4c3c-b522-748e293cdeee","resolution":{"observed_at":"2026-07-30T22:55:27.873342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.880550Z","title":"Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects , booktitle =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.880550Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:4cc78333024616caf4ff7a16dc4aa8faca029c4f076b01dbfb61279b905c167b","observation_id":"2bea3b9f-5403-4a39-8e49-41c26861b156","resolution":{"observed_at":"2026-07-30T22:55:27.880550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.890860Z","title":"Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation , booktitle =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.890860Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:50e4f8c96bdb8c0c78db2da83683ba07b8a7dc8de6ed98877d8286c23b0bf241","observation_id":"1cc6360c-5808-4a77-bd60-4bead01ad634","resolution":{"observed_at":"2026-07-30T22:55:27.890860Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.899662Z","title":"Emotion Detection on TV Show Transcripts with Sequence-Based Convolutional Neural Networks , booktitle =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.899662Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:6cc25ffa7a166c69f93b7b151f349d05c02f2c0058b5c0ce29e630dad51502d1","observation_id":"9eeaaeb6-e13c-4e45-bd85-793b809c48bd","resolution":{"observed_at":"2026-07-30T22:55:27.899662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.905296Z","title":"Modeling Both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-Speaker Conversations , booktitle =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.905296Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:84d1fa801cd4584d59f46730c8f4087c4e8d8689cccbe83f3dcfd45661a8e6bc","observation_id":"2f071d77-a483-4bb5-ad3d-3bfc6a54bd9e","resolution":{"observed_at":"2026-07-30T22:55:27.905296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.911929Z","title":"Neural Networks , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.911929Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:a9b8e924cd32d89eac41adffa1284895441ea0dc1dfffa1401d9fb1d5bae5542","observation_id":"e8eeb3bb-4369-4fdd-8474-55437848b768","resolution":{"observed_at":"2026-07-30T22:55:27.911929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.918987Z","title":"CauAIN: Causal Aware Interaction Network for Emotion Recognition in Conversations , booktitle =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.918987Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:f712ba34374e8f2b561af079cacc12896d56ec690b6c523cc4000d1d319685c4","observation_id":"ae0c638e-5fb4-4cea-9233-430dbbcdda9c","resolution":{"observed_at":"2026-07-30T22:55:27.918987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.924741Z","title":"M3ED: Multi-Modal Multi-Scene Multi-Label Emotional Dialogue Database , booktitle =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.924741Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:a55dc7d3ed38a6060a69bd5b8c04b0178c65b3459a3a540b3848399c785fc5e4","observation_id":"b84527e6-635d-4983-b564-95881b1fd3a2","resolution":{"observed_at":"2026-07-30T22:55:27.924741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.930442Z","title":"Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations , booktitle =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.930442Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:14ad87df9cfa9dab7bdd0f6f5aa48d9efb932575dedf21909f06ef22af417a0a","observation_id":"74184d8a-2190-42ab-bca1-63d6f26735d7","resolution":{"observed_at":"2026-07-30T22:55:27.930442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.935289Z","title":"Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection , booktitle =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.935289Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:b97c28f35698598c10c936361e5d19cbd43a7cc75b1b21e50747fae3721f0ee7","observation_id":"f4d78742-e993-4797-9853-c5f927e774de","resolution":{"observed_at":"2026-07-30T22:55:27.935289Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.940698Z","title":"Artificial Neural Networks and Machine Learning -- ICANN 2024 , pages =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.940698Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:e712884da1f6b6a72650707c6d74e779755968471ce9b4f8e4452cea0a0ee0fa","observation_id":"93adad21-cb8d-46c8-a7d6-f80af569d3c7","resolution":{"observed_at":"2026-07-30T22:55:27.940698Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.946180Z","title":"SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition , booktitle =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.946180Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:1532b754ebfa6bb59671c7b410ee51f17c9b1df9ea7a1aeebc99356bd314132d","observation_id":"fbf729a4-1886-422a-b1de-a4fb08d17c58","resolution":{"observed_at":"2026-07-30T22:55:27.946180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.951289Z","title":"Transactions of the association for computational linguistics , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.951289Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:2277fd53e1f5d8e4fb2d83f46b91b505f3c25b7be6ebb57be180ff0e7398d0d1","observation_id":"0523c511-6760-4774-a09c-654246dd0443","resolution":{"observed_at":"2026-07-30T22:55:27.951289Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.956023Z","title":"2019 , eprint=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.956023Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:4704957ade794f4d3d4eab8819cfcb7cded94a9012e2779eaa7757fd5541ba1d","observation_id":"542edb9d-3175-4679-940f-46e4df70ca1b","resolution":{"observed_at":"2026-07-30T22:55:27.956023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-07-30T22:55:27.961280Z","title":"arXiv preprint arXiv:1711.05101 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.961280Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:6ddcc60785bf40bae2760551d1b773264ac788647730c5e6c4bdda76b420b90a","observation_id":"f3fe0c29-6050-4643-b5fe-0e663fbbb859","resolution":{"observed_at":"2026-07-30T22:55:27.961280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.966338Z","title":"PyTorch: an imperative style, high-performance deep learning library , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.966338Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:4d93ff4ad5b3da3b096abe83eaaa5f0c9f795aa60e45864b07d24d067376b7af","observation_id":"adc9976d-2f2a-4d36-9397-52e83a75ec88","resolution":{"observed_at":"2026-07-30T22:55:27.966338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.972129Z","title":"International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.972129Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:3ebe03760a1bff4de0ed245602ec37d69998fe0ca518ab78cc96f13167ba225a","observation_id":"989fd4f7-7db3-48fc-9aa8-44ee8de1f45d","resolution":{"observed_at":"2026-07-30T22:55:27.972129Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.977384Z","title":"2013 , booktitle =","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.977384Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:0f3657e91342ced89271bdb9f051387043258dfa252162319e268f5350b384a7","observation_id":"6b14e00c-b936-4b86-90c4-35f2c306bc04","resolution":{"observed_at":"2026-07-30T22:55:27.977384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.983070Z","title":"Proceedings of the 36th International Conference on Machine Learning , pages =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.983070Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:2bb9bc5367d7c16ebc0d6c8ba3098902e29cec85f497fa95dd4236e9377d4bda","observation_id":"0fdc1892-4a44-4ace-9d3c-30342e2c79fb","resolution":{"observed_at":"2026-07-30T22:55:27.983070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.988770Z","title":"Emotion analysis of Twitter using opinion mining , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.988770Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:aa69da52a33f410b231f5c5e8487270eb9f3746efd33d1f98a0c035d547be18d","observation_id":"805eb6fa-5b27-46b8-ae15-912d8653c4b6","resolution":{"observed_at":"2026-07-30T22:55:27.988770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.993208Z","title":"Eliciting Rich Positive Emotions in Dialogue Generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.993208Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:fe4a98c13f0aef7a2c585ffa6235213ad49406043d55fbbe662a04f45c74255c","observation_id":"23344308-c22d-468d-8b66-134b1b3b65f5","resolution":{"observed_at":"2026-07-30T22:55:27.993208Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:27.997956Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:27.997956Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:f14fd7a30520dafa7544daf8125f07f36d917a53ea2f2d348ff3fc1a09aea693","observation_id":"c648e6ac-3e5d-4615-a954-b4d8079c10a4","resolution":{"observed_at":"2026-07-30T22:55:27.997956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:28.004547Z","title":"2015 , journal =","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:28.004547Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:4e70218c69dae606b4396e5942eacf2e00c1f54d2e0e38406f4b73a2a1cefa0f","observation_id":"68ef8980-f30a-4fa1-8e83-7bb99323531d","resolution":{"observed_at":"2026-07-30T22:55:28.004547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:28.009902Z","title":"1990 , journal =","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:28.009902Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:0f804526efe9fe24a1a127427ccd7916c0f5f13bdfd5f91362df3a91da697703","observation_id":"778e6471-787d-4b63-a67c-6710199e2fac","resolution":{"observed_at":"2026-07-30T22:55:28.009902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:28.015260Z","title":"2017 , booktitle =","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:28.015260Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:76e59b9e01ff3e245fefe085d0fde5e8da57d417bfc497249eb703ff3bd8eadb","observation_id":"3f4db653-985c-4db0-91ae-090d32ed3b3c","resolution":{"observed_at":"2026-07-30T22:55:28.015260Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T22:55:28.033398Z","title":"2019 , eprint=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-07-30T22:55:28.033398Z"},"links":{"citing_paper":"/paper/2607.26726"},"observation_digest":"sha256:ad8fdaa7e5d3e1005865b4e4c206dbeca3d18522bfd9699a1e8446a551bc73ad","observation_id":"c376bed6-a3dc-486a-b738-f5e19a8a9a1a","resolution":{"observed_at":"2026-07-30T22:55:28.033398Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.26726","last_updated":"2026-07-29T10:15:36Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T05:40:54.174142Z","submitted_at":"2026-07-29T10:15:36Z","title":"AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation"},"reference_resolution":{"displayed":93,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":93,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":93},"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 93 of 93 outbound references and 0 inbound Pith citation observations for arXiv:2607.26726."}