{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4NO2W6POIHD5WKMZVB2TH3CTID","short_pith_number":"pith:4NO2W6PO","canonical_record":{"source":{"id":"2507.20737","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T11:41:15Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"18d20c30957617f0e79a2f5349db8b45f2ae7333f9a4ae60319d0825473163d6","abstract_canon_sha256":"640abb493620a69fe22a027be54941750223bd09fbad2ba4a4c15d5a979c09a6"},"schema_version":"1.0"},"canonical_sha256":"e35dab79ee41c7db2999a87533ec5340d44a50b01654abb945f3427c04a14321","source":{"kind":"arxiv","id":"2507.20737","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.20737","created_at":"2026-07-05T11:44:25Z"},{"alias_kind":"arxiv_version","alias_value":"2507.20737v1","created_at":"2026-07-05T11:44:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.20737","created_at":"2026-07-05T11:44:25Z"},{"alias_kind":"pith_short_12","alias_value":"4NO2W6POIHD5","created_at":"2026-07-05T11:44:25Z"},{"alias_kind":"pith_short_16","alias_value":"4NO2W6POIHD5WKMZ","created_at":"2026-07-05T11:44:25Z"},{"alias_kind":"pith_short_8","alias_value":"4NO2W6PO","created_at":"2026-07-05T11:44:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4NO2W6POIHD5WKMZVB2TH3CTID","target":"record","payload":{"canonical_record":{"source":{"id":"2507.20737","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T11:41:15Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"18d20c30957617f0e79a2f5349db8b45f2ae7333f9a4ae60319d0825473163d6","abstract_canon_sha256":"640abb493620a69fe22a027be54941750223bd09fbad2ba4a4c15d5a979c09a6"},"schema_version":"1.0"},"canonical_sha256":"e35dab79ee41c7db2999a87533ec5340d44a50b01654abb945f3427c04a14321","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:25.000878Z","signature_b64":"nkIGcjGKc6lYRjZtuNFmNgVte/63hy9qFDbWuzv8UO3veOeJ75nU5wkrVHYksSDam/oq0Yh/i416jmLgs2YjDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e35dab79ee41c7db2999a87533ec5340d44a50b01654abb945f3427c04a14321","last_reissued_at":"2026-07-05T11:44:25.000469Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:25.000469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.20737","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":"2026-07-05T11:44:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sHmJ3r7ds2vvjJCugtVct2FbjqfIFc2YPsmhpAn2ibtSlT8cWGF5H8MApqsso5QOT3vQ8sYCxJBVFBPhO0gFDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T01:29:25.962353Z"},"content_sha256":"30bd6ec9735e6847041431a7443b98128d9acd5d8cc62b4ad1fad65bde6fe259","schema_version":"1.0","event_id":"sha256:30bd6ec9735e6847041431a7443b98128d9acd5d8cc62b4ad1fad65bde6fe259"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4NO2W6POIHD5WKMZVB2TH3CTID","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.CV","authors_text":"Geng-Xin Xu, Xiang Zuo, Ye Li","submitted_at":"2025-07-28T11:41:15Z","abstract_excerpt":"Emotion recognition from physiological data is crucial for mental health assessment, yet it faces two significant challenges: incomplete multi-modal signals and interference from body movements and artifacts. This paper presents a novel Multi-Masked Querying Network (MMQ-Net) to address these issues by integrating multiple querying mechanisms into a unified framework. Specifically, it uses modality queries to reconstruct missing data from incomplete signals, category queries to focus on emotional state features, and interference queries to separate relevant information from noise. Extensive ex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.20737","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/2507.20737/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":"2026-07-05T11:44:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HbH8yB4ZGfKWbpTSbrFH0B8Xxtz70OQ+Vl79EsFn2UIF7+ZXIRhf/jLvqJuLjeVHXsW1/3WQRblJQ4ON42rnCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T01:29:25.962989Z"},"content_sha256":"e3c1b90180bad22b6451e3ded4f1b4bfb6968ca72b96b4d02a1a4759211a03bf","schema_version":"1.0","event_id":"sha256:e3c1b90180bad22b6451e3ded4f1b4bfb6968ca72b96b4d02a1a4759211a03bf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4NO2W6POIHD5WKMZVB2TH3CTID/bundle.json","state_url":"https://pith.science/pith/4NO2W6POIHD5WKMZVB2TH3CTID/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4NO2W6POIHD5WKMZVB2TH3CTID/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":"2026-08-16T01:29:25Z","links":{"resolver":"https://pith.science/pith/4NO2W6POIHD5WKMZVB2TH3CTID","bundle":"https://pith.science/pith/4NO2W6POIHD5WKMZVB2TH3CTID/bundle.json","state":"https://pith.science/pith/4NO2W6POIHD5WKMZVB2TH3CTID/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4NO2W6POIHD5WKMZVB2TH3CTID/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4NO2W6POIHD5WKMZVB2TH3CTID","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":"640abb493620a69fe22a027be54941750223bd09fbad2ba4a4c15d5a979c09a6","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T11:41:15Z","title_canon_sha256":"18d20c30957617f0e79a2f5349db8b45f2ae7333f9a4ae60319d0825473163d6"},"schema_version":"1.0","source":{"id":"2507.20737","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.20737","created_at":"2026-07-05T11:44:25Z"},{"alias_kind":"arxiv_version","alias_value":"2507.20737v1","created_at":"2026-07-05T11:44:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.20737","created_at":"2026-07-05T11:44:25Z"},{"alias_kind":"pith_short_12","alias_value":"4NO2W6POIHD5","created_at":"2026-07-05T11:44:25Z"},{"alias_kind":"pith_short_16","alias_value":"4NO2W6POIHD5WKMZ","created_at":"2026-07-05T11:44:25Z"},{"alias_kind":"pith_short_8","alias_value":"4NO2W6PO","created_at":"2026-07-05T11:44:25Z"}],"graph_snapshots":[{"event_id":"sha256:e3c1b90180bad22b6451e3ded4f1b4bfb6968ca72b96b4d02a1a4759211a03bf","target":"graph","created_at":"2026-07-05T11:44:25Z","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/2507.20737/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Emotion recognition from physiological data is crucial for mental health assessment, yet it faces two significant challenges: incomplete multi-modal signals and interference from body movements and artifacts. This paper presents a novel Multi-Masked Querying Network (MMQ-Net) to address these issues by integrating multiple querying mechanisms into a unified framework. Specifically, it uses modality queries to reconstruct missing data from incomplete signals, category queries to focus on emotional state features, and interference queries to separate relevant information from noise. Extensive ex","authors_text":"Geng-Xin Xu, Xiang Zuo, Ye Li","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T11:41:15Z","title":"Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.20737","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":"sha256:30bd6ec9735e6847041431a7443b98128d9acd5d8cc62b4ad1fad65bde6fe259","target":"record","created_at":"2026-07-05T11:44:25Z","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":"640abb493620a69fe22a027be54941750223bd09fbad2ba4a4c15d5a979c09a6","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-28T11:41:15Z","title_canon_sha256":"18d20c30957617f0e79a2f5349db8b45f2ae7333f9a4ae60319d0825473163d6"},"schema_version":"1.0","source":{"id":"2507.20737","kind":"arxiv","version":1}},"canonical_sha256":"e35dab79ee41c7db2999a87533ec5340d44a50b01654abb945f3427c04a14321","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e35dab79ee41c7db2999a87533ec5340d44a50b01654abb945f3427c04a14321","first_computed_at":"2026-07-05T11:44:25.000469Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:25.000469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nkIGcjGKc6lYRjZtuNFmNgVte/63hy9qFDbWuzv8UO3veOeJ75nU5wkrVHYksSDam/oq0Yh/i416jmLgs2YjDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:25.000878Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.20737","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30bd6ec9735e6847041431a7443b98128d9acd5d8cc62b4ad1fad65bde6fe259","sha256:e3c1b90180bad22b6451e3ded4f1b4bfb6968ca72b96b4d02a1a4759211a03bf"],"state_sha256":"0f3d438cffaba187a6004a2a75c94255e04a8048b99bf88f6edb0ad9b3611a49"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CysTMUdzmH4zrRk1/7cxn2CED9dqLAlTy+qtz2wwAIfNZUMIt7zfbPR7R5MWQO7gCgupPE/I8xxP4bVum4VjAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T01:29:25.971768Z","bundle_sha256":"01eb86fd68144a3b8a377f5ad120bef4d6c0c636155cca91e260fe9ff7984486"}}