{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:O6UG2GZKVIR2U5GV6SJ2GYLVD6","short_pith_number":"pith:O6UG2GZK","canonical_record":{"source":{"id":"2505.20511","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-26T20:23:24Z","cross_cats_sorted":[],"title_canon_sha256":"57301891ad1689cdaa56417f83149b702d65cbb4040806ba9b748bd8e723bd03","abstract_canon_sha256":"b7d80962429250176e78ac9ced84ecb6ae265ffd43b8ae8a9713b310647fcbbc"},"schema_version":"1.0"},"canonical_sha256":"77a86d1b2aaa23aa74d5f493a361751f8bd65302781463882317bac1aedba0da","source":{"kind":"arxiv","id":"2505.20511","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20511","created_at":"2026-07-05T12:07:07Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20511v2","created_at":"2026-07-05T12:07:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20511","created_at":"2026-07-05T12:07:07Z"},{"alias_kind":"pith_short_12","alias_value":"O6UG2GZKVIR2","created_at":"2026-07-05T12:07:07Z"},{"alias_kind":"pith_short_16","alias_value":"O6UG2GZKVIR2U5GV","created_at":"2026-07-05T12:07:07Z"},{"alias_kind":"pith_short_8","alias_value":"O6UG2GZK","created_at":"2026-07-05T12:07:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:O6UG2GZKVIR2U5GV6SJ2GYLVD6","target":"record","payload":{"canonical_record":{"source":{"id":"2505.20511","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-26T20:23:24Z","cross_cats_sorted":[],"title_canon_sha256":"57301891ad1689cdaa56417f83149b702d65cbb4040806ba9b748bd8e723bd03","abstract_canon_sha256":"b7d80962429250176e78ac9ced84ecb6ae265ffd43b8ae8a9713b310647fcbbc"},"schema_version":"1.0"},"canonical_sha256":"77a86d1b2aaa23aa74d5f493a361751f8bd65302781463882317bac1aedba0da","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:07:07.925797Z","signature_b64":"HAO9Qhd5CI8UeNwVFF2sMsYYr/uQ7os1+cvAbMB6CkpRz4sxxYalJhQgBNkvkjy7sekCQYQ/iWIMNxLsxMn6Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77a86d1b2aaa23aa74d5f493a361751f8bd65302781463882317bac1aedba0da","last_reissued_at":"2026-07-05T12:07:07.925263Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:07:07.925263Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.20511","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:07:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tR1ToUgZIESxIxWKFB/uXWecAdhrwhQTuMACXrDBesiSs4cHjecTqGzo+yyn/sODNU+vZaLbofhp/IISoYXpAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:42:34.650326Z"},"content_sha256":"2ff57ebd61def7e9859780d6326ab3dfc589a758ed2a360e453c1c1ea37e89ac","schema_version":"1.0","event_id":"sha256:2ff57ebd61def7e9859780d6326ab3dfc589a758ed2a360e453c1c1ea37e89ac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:O6UG2GZKVIR2U5GV6SJ2GYLVD6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bolei Ma, Chengyan Wu, Julia Hirschberg, Pengxu Zhu, Yang Liu, Yiqiang Cai, Yun Xue, Ziwei Gong","submitted_at":"2025-05-26T20:23:24Z","abstract_excerpt":"While text-based emotion recognition methods have achieved notable success, real-world dialogue systems often demand a more nuanced emotional understanding than any single modality can offer. Multimodal Emotion Recognition in Conversations (MERC) has thus emerged as a crucial direction for enhancing the naturalness and emotional understanding of human-computer interaction. Its goal is to accurately recognize emotions by integrating information from various modalities such as text, speech, and visual signals.\n  This survey offers a systematic overview of MERC, including its motivations, core ta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20511","kind":"arxiv","version":2},"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/2505.20511/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":"2026-07-05T12:07:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fIJSTq7+VOwD3SvMEuqW2dOkMwtilwyr7c4JKRW1WzVC82lmUc/eIO/z0laHDOYhDd5cyomeg9ZlSB79JjXvAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:42:34.650718Z"},"content_sha256":"bea31ba62489a1cd8c9d9247b81683c3d9e1d7695352f022ae4091554e58b2ce","schema_version":"1.0","event_id":"sha256:bea31ba62489a1cd8c9d9247b81683c3d9e1d7695352f022ae4091554e58b2ce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O6UG2GZKVIR2U5GV6SJ2GYLVD6/bundle.json","state_url":"https://pith.science/pith/O6UG2GZKVIR2U5GV6SJ2GYLVD6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O6UG2GZKVIR2U5GV6SJ2GYLVD6/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":"2026-07-07T08:42:34Z","links":{"resolver":"https://pith.science/pith/O6UG2GZKVIR2U5GV6SJ2GYLVD6","bundle":"https://pith.science/pith/O6UG2GZKVIR2U5GV6SJ2GYLVD6/bundle.json","state":"https://pith.science/pith/O6UG2GZKVIR2U5GV6SJ2GYLVD6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O6UG2GZKVIR2U5GV6SJ2GYLVD6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:O6UG2GZKVIR2U5GV6SJ2GYLVD6","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":"b7d80962429250176e78ac9ced84ecb6ae265ffd43b8ae8a9713b310647fcbbc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-26T20:23:24Z","title_canon_sha256":"57301891ad1689cdaa56417f83149b702d65cbb4040806ba9b748bd8e723bd03"},"schema_version":"1.0","source":{"id":"2505.20511","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20511","created_at":"2026-07-05T12:07:07Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20511v2","created_at":"2026-07-05T12:07:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20511","created_at":"2026-07-05T12:07:07Z"},{"alias_kind":"pith_short_12","alias_value":"O6UG2GZKVIR2","created_at":"2026-07-05T12:07:07Z"},{"alias_kind":"pith_short_16","alias_value":"O6UG2GZKVIR2U5GV","created_at":"2026-07-05T12:07:07Z"},{"alias_kind":"pith_short_8","alias_value":"O6UG2GZK","created_at":"2026-07-05T12:07:07Z"}],"graph_snapshots":[{"event_id":"sha256:bea31ba62489a1cd8c9d9247b81683c3d9e1d7695352f022ae4091554e58b2ce","target":"graph","created_at":"2026-07-05T12:07:07Z","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/2505.20511/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While text-based emotion recognition methods have achieved notable success, real-world dialogue systems often demand a more nuanced emotional understanding than any single modality can offer. Multimodal Emotion Recognition in Conversations (MERC) has thus emerged as a crucial direction for enhancing the naturalness and emotional understanding of human-computer interaction. Its goal is to accurately recognize emotions by integrating information from various modalities such as text, speech, and visual signals.\n  This survey offers a systematic overview of MERC, including its motivations, core ta","authors_text":"Bolei Ma, Chengyan Wu, Julia Hirschberg, Pengxu Zhu, Yang Liu, Yiqiang Cai, Yun Xue, Ziwei Gong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-26T20:23:24Z","title":"Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20511","kind":"arxiv","version":2},"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":"sha256:2ff57ebd61def7e9859780d6326ab3dfc589a758ed2a360e453c1c1ea37e89ac","target":"record","created_at":"2026-07-05T12:07:07Z","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":"b7d80962429250176e78ac9ced84ecb6ae265ffd43b8ae8a9713b310647fcbbc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-26T20:23:24Z","title_canon_sha256":"57301891ad1689cdaa56417f83149b702d65cbb4040806ba9b748bd8e723bd03"},"schema_version":"1.0","source":{"id":"2505.20511","kind":"arxiv","version":2}},"canonical_sha256":"77a86d1b2aaa23aa74d5f493a361751f8bd65302781463882317bac1aedba0da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"77a86d1b2aaa23aa74d5f493a361751f8bd65302781463882317bac1aedba0da","first_computed_at":"2026-07-05T12:07:07.925263Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:07:07.925263Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HAO9Qhd5CI8UeNwVFF2sMsYYr/uQ7os1+cvAbMB6CkpRz4sxxYalJhQgBNkvkjy7sekCQYQ/iWIMNxLsxMn6Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:07:07.925797Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.20511","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ff57ebd61def7e9859780d6326ab3dfc589a758ed2a360e453c1c1ea37e89ac","sha256:bea31ba62489a1cd8c9d9247b81683c3d9e1d7695352f022ae4091554e58b2ce"],"state_sha256":"5de49357dfc345562a782c134fd9385d7acd6e77fc8d8782a09c7e339adc46ca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UOoEpJzceYCStZ5sj5zMBXEfFb5erS7q4HFDXgiGrcRNb2aGZ95fIciS9cBN1QbulOFNu96vhKaayV3WwMqdDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:42:34.652736Z","bundle_sha256":"a4fb3ab545ee9440f3354ded913f35c01782fd6e9a40584942cbfb4365fc0fb6"}}