{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:VSMVWONHI3NHFPZEPPWBTXUA3X","short_pith_number":"pith:VSMVWONH","canonical_record":{"source":{"id":"2109.06112","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-09-13T16:40:35Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"9d977e8b040f46c8af59ff76cb8f5839433ff453b5f1999542ff6dffaf1cd2a8","abstract_canon_sha256":"6794e1ff9588a4af6f193e192e9c7ed0596ca8963a591004196189de0135954d"},"schema_version":"1.0"},"canonical_sha256":"ac995b39a746da72bf247bec19de80ddd371e0f3a47b13ebd495ac817a4b15bc","source":{"kind":"arxiv","id":"2109.06112","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.06112","created_at":"2026-07-05T03:13:45Z"},{"alias_kind":"arxiv_version","alias_value":"2109.06112v1","created_at":"2026-07-05T03:13:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.06112","created_at":"2026-07-05T03:13:45Z"},{"alias_kind":"pith_short_12","alias_value":"VSMVWONHI3NH","created_at":"2026-07-05T03:13:45Z"},{"alias_kind":"pith_short_16","alias_value":"VSMVWONHI3NHFPZE","created_at":"2026-07-05T03:13:45Z"},{"alias_kind":"pith_short_8","alias_value":"VSMVWONH","created_at":"2026-07-05T03:13:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:VSMVWONHI3NHFPZEPPWBTXUA3X","target":"record","payload":{"canonical_record":{"source":{"id":"2109.06112","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-09-13T16:40:35Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"9d977e8b040f46c8af59ff76cb8f5839433ff453b5f1999542ff6dffaf1cd2a8","abstract_canon_sha256":"6794e1ff9588a4af6f193e192e9c7ed0596ca8963a591004196189de0135954d"},"schema_version":"1.0"},"canonical_sha256":"ac995b39a746da72bf247bec19de80ddd371e0f3a47b13ebd495ac817a4b15bc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:13:45.568094Z","signature_b64":"Q46qoAPvAigslfkh8PT5d2Vq5564/qHeFUUpzeXBWSzPsqUjW9r4F1/wYVV1ltt+VTc0e6S9bUaIt9kWxtfDAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac995b39a746da72bf247bec19de80ddd371e0f3a47b13ebd495ac817a4b15bc","last_reissued_at":"2026-07-05T03:13:45.567665Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:13:45.567665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.06112","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:13:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yHK4C4eAAXPkJ3iktr+gW0UdBpH4rSexodFdjr0nZdDk+U8LTdVr9gEpEbklv57IKeee5xmqsg//BPAuL8tCBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T11:06:36.928824Z"},"content_sha256":"ea7f7891dcd42c29a1a37dff898cb7aeadd5ca14f3fb0749c44a6a23e639af2d","schema_version":"1.0","event_id":"sha256:ea7f7891dcd42c29a1a37dff898cb7aeadd5ca14f3fb0749c44a6a23e639af2d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:VSMVWONHI3NHFPZEPPWBTXUA3X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Isolated Utterances: Conversational Emotion Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Jes\\'us Villalba, Laureano Moro-Velazquez, Najim Dehak, Piotr \\.Zelasko, Raghavendra Pappagari","submitted_at":"2021-09-13T16:40:35Z","abstract_excerpt":"Speech emotion recognition is the task of recognizing the speaker's emotional state given a recording of their utterance. While most of the current approaches focus on inferring emotion from isolated utterances, we argue that this is not sufficient to achieve conversational emotion recognition (CER) which deals with recognizing emotions in conversations. In this work, we propose several approaches for CER by treating it as a sequence labeling task. We investigated transformer architecture for CER and, compared it with ResNet-34 and BiLSTM architectures in both contextual and context-less scena"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.06112","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2109.06112/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:13:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yupgpJ/MQ7a1R5eNKx9EXV0AzhRNSBYeaWPmvJ1+R6qpkTymFuF+K7VzWPYfyHS73KMYY8RKmlUNqf9MQJxQCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T11:06:36.929206Z"},"content_sha256":"12e865dd98c6dc0a59a098b9e063fc2c11bdcf4e7f94804aae64e46b88b8c364","schema_version":"1.0","event_id":"sha256:12e865dd98c6dc0a59a098b9e063fc2c11bdcf4e7f94804aae64e46b88b8c364"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VSMVWONHI3NHFPZEPPWBTXUA3X/bundle.json","state_url":"https://pith.science/pith/VSMVWONHI3NHFPZEPPWBTXUA3X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VSMVWONHI3NHFPZEPPWBTXUA3X/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-05T11:06:36Z","links":{"resolver":"https://pith.science/pith/VSMVWONHI3NHFPZEPPWBTXUA3X","bundle":"https://pith.science/pith/VSMVWONHI3NHFPZEPPWBTXUA3X/bundle.json","state":"https://pith.science/pith/VSMVWONHI3NHFPZEPPWBTXUA3X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VSMVWONHI3NHFPZEPPWBTXUA3X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:VSMVWONHI3NHFPZEPPWBTXUA3X","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":"6794e1ff9588a4af6f193e192e9c7ed0596ca8963a591004196189de0135954d","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-09-13T16:40:35Z","title_canon_sha256":"9d977e8b040f46c8af59ff76cb8f5839433ff453b5f1999542ff6dffaf1cd2a8"},"schema_version":"1.0","source":{"id":"2109.06112","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.06112","created_at":"2026-07-05T03:13:45Z"},{"alias_kind":"arxiv_version","alias_value":"2109.06112v1","created_at":"2026-07-05T03:13:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.06112","created_at":"2026-07-05T03:13:45Z"},{"alias_kind":"pith_short_12","alias_value":"VSMVWONHI3NH","created_at":"2026-07-05T03:13:45Z"},{"alias_kind":"pith_short_16","alias_value":"VSMVWONHI3NHFPZE","created_at":"2026-07-05T03:13:45Z"},{"alias_kind":"pith_short_8","alias_value":"VSMVWONH","created_at":"2026-07-05T03:13:45Z"}],"graph_snapshots":[{"event_id":"sha256:12e865dd98c6dc0a59a098b9e063fc2c11bdcf4e7f94804aae64e46b88b8c364","target":"graph","created_at":"2026-07-05T03:13:45Z","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/2109.06112/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Speech emotion recognition is the task of recognizing the speaker's emotional state given a recording of their utterance. While most of the current approaches focus on inferring emotion from isolated utterances, we argue that this is not sufficient to achieve conversational emotion recognition (CER) which deals with recognizing emotions in conversations. In this work, we propose several approaches for CER by treating it as a sequence labeling task. We investigated transformer architecture for CER and, compared it with ResNet-34 and BiLSTM architectures in both contextual and context-less scena","authors_text":"Jes\\'us Villalba, Laureano Moro-Velazquez, Najim Dehak, Piotr \\.Zelasko, Raghavendra Pappagari","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-09-13T16:40:35Z","title":"Beyond Isolated Utterances: Conversational Emotion Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.06112","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:ea7f7891dcd42c29a1a37dff898cb7aeadd5ca14f3fb0749c44a6a23e639af2d","target":"record","created_at":"2026-07-05T03:13:45Z","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":"6794e1ff9588a4af6f193e192e9c7ed0596ca8963a591004196189de0135954d","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-09-13T16:40:35Z","title_canon_sha256":"9d977e8b040f46c8af59ff76cb8f5839433ff453b5f1999542ff6dffaf1cd2a8"},"schema_version":"1.0","source":{"id":"2109.06112","kind":"arxiv","version":1}},"canonical_sha256":"ac995b39a746da72bf247bec19de80ddd371e0f3a47b13ebd495ac817a4b15bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac995b39a746da72bf247bec19de80ddd371e0f3a47b13ebd495ac817a4b15bc","first_computed_at":"2026-07-05T03:13:45.567665Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:13:45.567665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q46qoAPvAigslfkh8PT5d2Vq5564/qHeFUUpzeXBWSzPsqUjW9r4F1/wYVV1ltt+VTc0e6S9bUaIt9kWxtfDAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:13:45.568094Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.06112","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea7f7891dcd42c29a1a37dff898cb7aeadd5ca14f3fb0749c44a6a23e639af2d","sha256:12e865dd98c6dc0a59a098b9e063fc2c11bdcf4e7f94804aae64e46b88b8c364"],"state_sha256":"5847668f22e8e58660bda74493fe8ce9dbe78904947bd0ae4a3db58398b65899"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/5yLmUfs5TUCG4WNE3ahjAdYPKPvLtdRGV3ucN+kfkGqdX7ivdhNPvzw1rKr1pmiv5o9W7N5uTTU/Ct6/S1eBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T11:06:36.931124Z","bundle_sha256":"02d3dd92885a1b0db5a8e52921919261b2d7c46cd7b4189216d502ec02a45fcb"}}