{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZONUMWNNH2Q7JCZB3K3OLYCI6V","short_pith_number":"pith:ZONUMWNN","canonical_record":{"source":{"id":"2404.17858","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-27T10:22:03Z","cross_cats_sorted":[],"title_canon_sha256":"fe2670eb9e2993554858d8b3ed8778263653c3dcf94eb3df188e3dd87c9bc37b","abstract_canon_sha256":"eb049eae5b062f2e1d631bb6bf46cb1eebf65acb4527040748f1bca0b5786c8c"},"schema_version":"1.0"},"canonical_sha256":"cb9b4659ad3ea1f48b21dab6e5e048f550fbdac76068af873b1e4b81bd22ab5f","source":{"kind":"arxiv","id":"2404.17858","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.17858","created_at":"2026-07-05T08:14:56Z"},{"alias_kind":"arxiv_version","alias_value":"2404.17858v2","created_at":"2026-07-05T08:14:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.17858","created_at":"2026-07-05T08:14:56Z"},{"alias_kind":"pith_short_12","alias_value":"ZONUMWNNH2Q7","created_at":"2026-07-05T08:14:56Z"},{"alias_kind":"pith_short_16","alias_value":"ZONUMWNNH2Q7JCZB","created_at":"2026-07-05T08:14:56Z"},{"alias_kind":"pith_short_8","alias_value":"ZONUMWNN","created_at":"2026-07-05T08:14:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZONUMWNNH2Q7JCZB3K3OLYCI6V","target":"record","payload":{"canonical_record":{"source":{"id":"2404.17858","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-27T10:22:03Z","cross_cats_sorted":[],"title_canon_sha256":"fe2670eb9e2993554858d8b3ed8778263653c3dcf94eb3df188e3dd87c9bc37b","abstract_canon_sha256":"eb049eae5b062f2e1d631bb6bf46cb1eebf65acb4527040748f1bca0b5786c8c"},"schema_version":"1.0"},"canonical_sha256":"cb9b4659ad3ea1f48b21dab6e5e048f550fbdac76068af873b1e4b81bd22ab5f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:14:56.354954Z","signature_b64":"RhBwCAkBSa2ggeoviUsXLLXafZLTC8khdjDlrMVYIJhGaSvDsTMCNTWwUUWwt0eV2x/jlc2IMg5s5QaTfa60BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cb9b4659ad3ea1f48b21dab6e5e048f550fbdac76068af873b1e4b81bd22ab5f","last_reissued_at":"2026-07-05T08:14:56.354426Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:14:56.354426Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.17858","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":"2026-07-05T08:14:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eqKg/X23l/V53P5nrGbaprqTKtckIKGZ8bqaDzYxYkOhReDYgNvYa4DbPQY7hebF2IsGR+mk1pGR4iySd6E7BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:02:55.418136Z"},"content_sha256":"3778390088ef5d12ee5ab899773aa28e4c2dd8854d131eda7a6faef954a8ced5","schema_version":"1.0","event_id":"sha256:3778390088ef5d12ee5ab899773aa28e4c2dd8854d131eda7a6faef954a8ced5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZONUMWNNH2Q7JCZB3K3OLYCI6V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"FuChen Zhang, Keqin Li, Nan Yin, Tao Meng, Yuntao Shou","submitted_at":"2024-04-27T10:22:03Z","abstract_excerpt":"Multi-modal Emotion Recognition in Conversation (MERC) has received considerable attention in various fields, e.g., human-computer interaction and recommendation systems. Most existing works perform feature disentanglement and fusion to extract emotional contextual information from multi-modal features and emotion classification. After revisiting the characteristic of MERC, we argue that long-range contextual semantic information should be extracted in the feature disentanglement stage and the inter-modal semantic information consistency should be maximized in the feature fusion stage. Inspire"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.17858","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/2404.17858/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":"2026-07-05T08:14:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lM6Z0lZBFUByqUTOoyf8JmPX7WTmrMAI8pcW9yATUCjWEUyjAZIxLbdTtiUyx2W2EU8d5/UkSo9E9SgTLoEXAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:02:55.418632Z"},"content_sha256":"6cd8bfff101b00c6ae922bd080fa887e08b9914290dae2e6f9919db62ad9bd85","schema_version":"1.0","event_id":"sha256:6cd8bfff101b00c6ae922bd080fa887e08b9914290dae2e6f9919db62ad9bd85"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZONUMWNNH2Q7JCZB3K3OLYCI6V/bundle.json","state_url":"https://pith.science/pith/ZONUMWNNH2Q7JCZB3K3OLYCI6V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZONUMWNNH2Q7JCZB3K3OLYCI6V/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":"2026-08-09T04:02:55Z","links":{"resolver":"https://pith.science/pith/ZONUMWNNH2Q7JCZB3K3OLYCI6V","bundle":"https://pith.science/pith/ZONUMWNNH2Q7JCZB3K3OLYCI6V/bundle.json","state":"https://pith.science/pith/ZONUMWNNH2Q7JCZB3K3OLYCI6V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZONUMWNNH2Q7JCZB3K3OLYCI6V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZONUMWNNH2Q7JCZB3K3OLYCI6V","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":"eb049eae5b062f2e1d631bb6bf46cb1eebf65acb4527040748f1bca0b5786c8c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-27T10:22:03Z","title_canon_sha256":"fe2670eb9e2993554858d8b3ed8778263653c3dcf94eb3df188e3dd87c9bc37b"},"schema_version":"1.0","source":{"id":"2404.17858","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.17858","created_at":"2026-07-05T08:14:56Z"},{"alias_kind":"arxiv_version","alias_value":"2404.17858v2","created_at":"2026-07-05T08:14:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.17858","created_at":"2026-07-05T08:14:56Z"},{"alias_kind":"pith_short_12","alias_value":"ZONUMWNNH2Q7","created_at":"2026-07-05T08:14:56Z"},{"alias_kind":"pith_short_16","alias_value":"ZONUMWNNH2Q7JCZB","created_at":"2026-07-05T08:14:56Z"},{"alias_kind":"pith_short_8","alias_value":"ZONUMWNN","created_at":"2026-07-05T08:14:56Z"}],"graph_snapshots":[{"event_id":"sha256:6cd8bfff101b00c6ae922bd080fa887e08b9914290dae2e6f9919db62ad9bd85","target":"graph","created_at":"2026-07-05T08:14:56Z","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/2404.17858/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-modal Emotion Recognition in Conversation (MERC) has received considerable attention in various fields, e.g., human-computer interaction and recommendation systems. Most existing works perform feature disentanglement and fusion to extract emotional contextual information from multi-modal features and emotion classification. After revisiting the characteristic of MERC, we argue that long-range contextual semantic information should be extracted in the feature disentanglement stage and the inter-modal semantic information consistency should be maximized in the feature fusion stage. Inspire","authors_text":"FuChen Zhang, Keqin Li, Nan Yin, Tao Meng, Yuntao Shou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-27T10:22:03Z","title":"Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.17858","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":"sha256:3778390088ef5d12ee5ab899773aa28e4c2dd8854d131eda7a6faef954a8ced5","target":"record","created_at":"2026-07-05T08:14:56Z","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":"eb049eae5b062f2e1d631bb6bf46cb1eebf65acb4527040748f1bca0b5786c8c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-27T10:22:03Z","title_canon_sha256":"fe2670eb9e2993554858d8b3ed8778263653c3dcf94eb3df188e3dd87c9bc37b"},"schema_version":"1.0","source":{"id":"2404.17858","kind":"arxiv","version":2}},"canonical_sha256":"cb9b4659ad3ea1f48b21dab6e5e048f550fbdac76068af873b1e4b81bd22ab5f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cb9b4659ad3ea1f48b21dab6e5e048f550fbdac76068af873b1e4b81bd22ab5f","first_computed_at":"2026-07-05T08:14:56.354426Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:14:56.354426Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RhBwCAkBSa2ggeoviUsXLLXafZLTC8khdjDlrMVYIJhGaSvDsTMCNTWwUUWwt0eV2x/jlc2IMg5s5QaTfa60BA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:14:56.354954Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.17858","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3778390088ef5d12ee5ab899773aa28e4c2dd8854d131eda7a6faef954a8ced5","sha256:6cd8bfff101b00c6ae922bd080fa887e08b9914290dae2e6f9919db62ad9bd85"],"state_sha256":"4a0ff351a6022f2ec1e824fd9e6df8eab1e0541c888856ebcd6519612d923e89"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HS5HWTDcM+jsIgnPV51Z8UBDmpEoqSzLnl2+P9RQYRnUCVYPD7nAb0VPdXvDeiFp0Ywcb+lcsQy0yXU0gULKAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T04:02:55.423399Z","bundle_sha256":"10b637c804d056d59b8eb9ecb3b94bbf9dba5ad0d704a64cca9be8c6c366be35"}}