{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KHNJNI52XEGYC5X5HMTA4KDCMK","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"570beb258817497aac145f54e624f105ed80866513f3115d71d9a336af363578","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2023-12-31T03:30:42Z","title_canon_sha256":"6820385571225c0de35335e5dcc6ad2a7c3616af702384b7402b63c6e9a1fce8"},"schema_version":"1.0","source":{"id":"2401.00383","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00383","created_at":"2026-07-05T07:29:17Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00383v1","created_at":"2026-07-05T07:29:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00383","created_at":"2026-07-05T07:29:17Z"},{"alias_kind":"pith_short_12","alias_value":"KHNJNI52XEGY","created_at":"2026-07-05T07:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"KHNJNI52XEGYC5X5","created_at":"2026-07-05T07:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"KHNJNI52","created_at":"2026-07-05T07:29:17Z"}],"graph_snapshots":[{"event_id":"sha256:2bdfee048fde0b0ab97517d19fdf09bfc111f684fbdacc63728ef5f02807f097","target":"graph","created_at":"2026-07-05T07:29:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2401.00383/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding and predicting the emotional trajectory in multi-party multi-turn conversations is of great significance. Such information can be used, for example, to generate empathetic response in human-machine interaction or to inform models of pre-emptive toxicity detection. In this work, we introduce the novel problem of Predicting Emotions in Conversations (PEC) for the next turn (n+1), given combinations of textual and/or emotion input up to turn n. We systematically approach the problem by modeling three dimensions inherently connected to evoked emotions in dialogues, including (i) sequ","authors_text":"Ameeta Agrawal, Enas Altarawneh, Manos Papagelis, Michael Jenkin","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2023-12-31T03:30:42Z","title":"Predicting Evoked Emotions in Conversations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00383","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:a58a277cfd8d6d54f5922806d5400adf5a93d6b222b03b16badc74432bfcd9ca","target":"record","created_at":"2026-07-05T07:29:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"570beb258817497aac145f54e624f105ed80866513f3115d71d9a336af363578","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2023-12-31T03:30:42Z","title_canon_sha256":"6820385571225c0de35335e5dcc6ad2a7c3616af702384b7402b63c6e9a1fce8"},"schema_version":"1.0","source":{"id":"2401.00383","kind":"arxiv","version":1}},"canonical_sha256":"51da96a3bab90d8176fd3b260e286262923e847b617c8aa5b8cef4d229af4944","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51da96a3bab90d8176fd3b260e286262923e847b617c8aa5b8cef4d229af4944","first_computed_at":"2026-07-05T07:29:17.413174Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:29:17.413174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6YbCdIE2fP+pc+nsv87H5f8Jt1CpK746NEMW2PNgVGL00Lr7wjU4cNNEcz1VahQgyFfp3QBYKhx6Lrm2X/5DDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:29:17.413596Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.00383","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a58a277cfd8d6d54f5922806d5400adf5a93d6b222b03b16badc74432bfcd9ca","sha256:2bdfee048fde0b0ab97517d19fdf09bfc111f684fbdacc63728ef5f02807f097"],"state_sha256":"53f8ab1d1060f63ca3b754782939fa05aeda96447a6be100dcae85762bafdc2c"}