{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:A6OX3RVHAU5RTJDN2XIKQIALBX","short_pith_number":"pith:A6OX3RVH","canonical_record":{"source":{"id":"2404.00320","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-03-30T11:13:18Z","cross_cats_sorted":[],"title_canon_sha256":"3a79720d91a1a1c327695e64603dced3a858f949200e8f69483287cf5977d757","abstract_canon_sha256":"44fc970cec9ddf2e9231ffb1bcccc6f075ef55ed5924c5c1c5a709dc37732497"},"schema_version":"1.0"},"canonical_sha256":"079d7dc6a7053b19a46dd5d0a8200b0dd91e1f5594eb5e46a07475fc04ea3100","source":{"kind":"arxiv","id":"2404.00320","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.00320","created_at":"2026-07-05T10:02:44Z"},{"alias_kind":"arxiv_version","alias_value":"2404.00320v2","created_at":"2026-07-05T10:02:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.00320","created_at":"2026-07-05T10:02:44Z"},{"alias_kind":"pith_short_12","alias_value":"A6OX3RVHAU5R","created_at":"2026-07-05T10:02:44Z"},{"alias_kind":"pith_short_16","alias_value":"A6OX3RVHAU5RTJDN","created_at":"2026-07-05T10:02:44Z"},{"alias_kind":"pith_short_8","alias_value":"A6OX3RVH","created_at":"2026-07-05T10:02:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:A6OX3RVHAU5RTJDN2XIKQIALBX","target":"record","payload":{"canonical_record":{"source":{"id":"2404.00320","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-03-30T11:13:18Z","cross_cats_sorted":[],"title_canon_sha256":"3a79720d91a1a1c327695e64603dced3a858f949200e8f69483287cf5977d757","abstract_canon_sha256":"44fc970cec9ddf2e9231ffb1bcccc6f075ef55ed5924c5c1c5a709dc37732497"},"schema_version":"1.0"},"canonical_sha256":"079d7dc6a7053b19a46dd5d0a8200b0dd91e1f5594eb5e46a07475fc04ea3100","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:02:44.633294Z","signature_b64":"noJ8HJtgj4rAvXpR+88UUy58dOfLkvKukVvJ5OPN6sEshhWfoNdXsKyC/Z1Dypp9Vquu83X/vtD+i7+knZsGAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"079d7dc6a7053b19a46dd5d0a8200b0dd91e1f5594eb5e46a07475fc04ea3100","last_reissued_at":"2026-07-05T10:02:44.632823Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:02:44.632823Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.00320","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":"2026-07-05T10:02:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KxDrZBGPEpOBygcN1K+3wC6+w8mse3HGz4UZN2YgA94jCrV+iE3uVkJdogDV/MhDsz3LZHWYvRADbM3Hk7XjBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:39:36.970721Z"},"content_sha256":"0f289f03e4d64fec468b8cce65f7cf0f7ef6d0133c9a4b1f49e4c7e2c5c90de6","schema_version":"1.0","event_id":"sha256:0f289f03e4d64fec468b8cce65f7cf0f7ef6d0133c9a4b1f49e4c7e2c5c90de6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:A6OX3RVHAU5RTJDN2XIKQIALBX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Advancing Multimodal Data Fusion in Pain Recognition: A Strategy Leveraging Statistical Correlation and Human-Centered Perspectives","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Irisa Jin, Xingrui Gu, Zekun Wu, Zhixuan Wang","submitted_at":"2024-03-30T11:13:18Z","abstract_excerpt":"This research presents a novel multimodal data fusion methodology for pain behavior recognition, integrating statistical correlation analysis with human-centered insights. Our approach introduces two key innovations: 1) integrating data-driven statistical relevance weights into the fusion strategy to effectively utilize complementary information from heterogeneous modalities, and 2) incorporating human-centric movement characteristics into multimodal representation learning for detailed modeling of pain behaviors. Validated across various deep learning architectures, our method demonstrates su"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.00320","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/2404.00320/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":"2026-07-05T10:02:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NvMi7NgMbCrnANW7itcicjhFcf5wrfTf9sXXEJqPuitM6BtHIYLbxC1aX41gwzQnbnAXOloULlQ6XMp2LvuOCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:39:36.971097Z"},"content_sha256":"ffc252f6c101df349d854c0385c3d5e4330fed3639b2f30b69613671c285435a","schema_version":"1.0","event_id":"sha256:ffc252f6c101df349d854c0385c3d5e4330fed3639b2f30b69613671c285435a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/A6OX3RVHAU5RTJDN2XIKQIALBX/bundle.json","state_url":"https://pith.science/pith/A6OX3RVHAU5RTJDN2XIKQIALBX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/A6OX3RVHAU5RTJDN2XIKQIALBX/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":"2026-07-07T09:39:36Z","links":{"resolver":"https://pith.science/pith/A6OX3RVHAU5RTJDN2XIKQIALBX","bundle":"https://pith.science/pith/A6OX3RVHAU5RTJDN2XIKQIALBX/bundle.json","state":"https://pith.science/pith/A6OX3RVHAU5RTJDN2XIKQIALBX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/A6OX3RVHAU5RTJDN2XIKQIALBX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:A6OX3RVHAU5RTJDN2XIKQIALBX","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":"44fc970cec9ddf2e9231ffb1bcccc6f075ef55ed5924c5c1c5a709dc37732497","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-03-30T11:13:18Z","title_canon_sha256":"3a79720d91a1a1c327695e64603dced3a858f949200e8f69483287cf5977d757"},"schema_version":"1.0","source":{"id":"2404.00320","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.00320","created_at":"2026-07-05T10:02:44Z"},{"alias_kind":"arxiv_version","alias_value":"2404.00320v2","created_at":"2026-07-05T10:02:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.00320","created_at":"2026-07-05T10:02:44Z"},{"alias_kind":"pith_short_12","alias_value":"A6OX3RVHAU5R","created_at":"2026-07-05T10:02:44Z"},{"alias_kind":"pith_short_16","alias_value":"A6OX3RVHAU5RTJDN","created_at":"2026-07-05T10:02:44Z"},{"alias_kind":"pith_short_8","alias_value":"A6OX3RVH","created_at":"2026-07-05T10:02:44Z"}],"graph_snapshots":[{"event_id":"sha256:ffc252f6c101df349d854c0385c3d5e4330fed3639b2f30b69613671c285435a","target":"graph","created_at":"2026-07-05T10:02:44Z","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/2404.00320/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This research presents a novel multimodal data fusion methodology for pain behavior recognition, integrating statistical correlation analysis with human-centered insights. Our approach introduces two key innovations: 1) integrating data-driven statistical relevance weights into the fusion strategy to effectively utilize complementary information from heterogeneous modalities, and 2) incorporating human-centric movement characteristics into multimodal representation learning for detailed modeling of pain behaviors. Validated across various deep learning architectures, our method demonstrates su","authors_text":"Irisa Jin, Xingrui Gu, Zekun Wu, Zhixuan Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-03-30T11:13:18Z","title":"Advancing Multimodal Data Fusion in Pain Recognition: A Strategy Leveraging Statistical Correlation and Human-Centered Perspectives"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.00320","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":"sha256:0f289f03e4d64fec468b8cce65f7cf0f7ef6d0133c9a4b1f49e4c7e2c5c90de6","target":"record","created_at":"2026-07-05T10:02:44Z","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":"44fc970cec9ddf2e9231ffb1bcccc6f075ef55ed5924c5c1c5a709dc37732497","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-03-30T11:13:18Z","title_canon_sha256":"3a79720d91a1a1c327695e64603dced3a858f949200e8f69483287cf5977d757"},"schema_version":"1.0","source":{"id":"2404.00320","kind":"arxiv","version":2}},"canonical_sha256":"079d7dc6a7053b19a46dd5d0a8200b0dd91e1f5594eb5e46a07475fc04ea3100","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"079d7dc6a7053b19a46dd5d0a8200b0dd91e1f5594eb5e46a07475fc04ea3100","first_computed_at":"2026-07-05T10:02:44.632823Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:44.632823Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"noJ8HJtgj4rAvXpR+88UUy58dOfLkvKukVvJ5OPN6sEshhWfoNdXsKyC/Z1Dypp9Vquu83X/vtD+i7+knZsGAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:44.633294Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.00320","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f289f03e4d64fec468b8cce65f7cf0f7ef6d0133c9a4b1f49e4c7e2c5c90de6","sha256:ffc252f6c101df349d854c0385c3d5e4330fed3639b2f30b69613671c285435a"],"state_sha256":"24b07076812f90b0573c375ce58083478e4778328a65e9f4cc669d92afd96839"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p9x3cd3Dl141JYwlOZoEN39XOZ5ch1h6Vp7R+wwn5gN2dzbvwogVwlpjlBmupav3Q/n7XIp1zRvq0kkA7vFEDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T09:39:36.973295Z","bundle_sha256":"3fb135f336e2b1e0e0009d9dad45f9795ffcc3c8dfebaad243efdf6ad5ba1816"}}