{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZRDHAYHPMPNMIHVUJ2G7KBIXSI","short_pith_number":"pith:ZRDHAYHP","canonical_record":{"source":{"id":"2312.05447","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-09T03:16:09Z","cross_cats_sorted":[],"title_canon_sha256":"0af5f3776b3ddd6a8438addac27ea706584fbb7f86072a48a7b628f803df3dbf","abstract_canon_sha256":"e94694b4940576941e3e87a1521a3a98a3476173a2a30f00a9f489793f62e881"},"schema_version":"1.0"},"canonical_sha256":"cc467060ef63dac41eb44e8df50517922646dd884a52dd5a83b64ddc9c251b67","source":{"kind":"arxiv","id":"2312.05447","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05447","created_at":"2026-07-05T09:04:08Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05447v2","created_at":"2026-07-05T09:04:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05447","created_at":"2026-07-05T09:04:08Z"},{"alias_kind":"pith_short_12","alias_value":"ZRDHAYHPMPNM","created_at":"2026-07-05T09:04:08Z"},{"alias_kind":"pith_short_16","alias_value":"ZRDHAYHPMPNMIHVU","created_at":"2026-07-05T09:04:08Z"},{"alias_kind":"pith_short_8","alias_value":"ZRDHAYHP","created_at":"2026-07-05T09:04:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZRDHAYHPMPNMIHVUJ2G7KBIXSI","target":"record","payload":{"canonical_record":{"source":{"id":"2312.05447","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-09T03:16:09Z","cross_cats_sorted":[],"title_canon_sha256":"0af5f3776b3ddd6a8438addac27ea706584fbb7f86072a48a7b628f803df3dbf","abstract_canon_sha256":"e94694b4940576941e3e87a1521a3a98a3476173a2a30f00a9f489793f62e881"},"schema_version":"1.0"},"canonical_sha256":"cc467060ef63dac41eb44e8df50517922646dd884a52dd5a83b64ddc9c251b67","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:04:08.461199Z","signature_b64":"CiDKScM9l7qZ7+5EkTbULgOc5oVRaIkCoSi3Y5SYt5bTzzEqeajyU5ucY9vC6xKzahsXhIFsWk4EbGDVCyhYDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc467060ef63dac41eb44e8df50517922646dd884a52dd5a83b64ddc9c251b67","last_reissued_at":"2026-07-05T09:04:08.460769Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:04:08.460769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.05447","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":"2026-07-05T09:04:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IyLthWHZdvphxpTl7dBoJpShoYJ1R5QOidM7xtmtSaO8QYEE707ej0DEoRkjDxbcVKbX11lwlRHPT05EDnweDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T20:32:30.267170Z"},"content_sha256":"6659f1406e59c02c8e3a93e4172aeab7a2dcd1433935c175f792d8ae871d34dd","schema_version":"1.0","event_id":"sha256:6659f1406e59c02c8e3a93e4172aeab7a2dcd1433935c175f792d8ae871d34dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZRDHAYHPMPNMIHVUJ2G7KBIXSI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jia Li, Meng Wang, Richang Hong, Shiguang Shan, Yin Chen","submitted_at":"2023-12-09T03:16:09Z","abstract_excerpt":"Dynamic facial expression recognition (DFER) in the wild is still hindered by data limitations, e.g., insufficient quantity and diversity of pose, occlusion and illumination, as well as the inherent ambiguity of facial expressions. In contrast, static facial expression recognition (SFER) currently shows much higher performance and can benefit from more abundant high-quality training data. Moreover, the appearance features and dynamic dependencies of DFER remain largely unexplored. To tackle these challenges, we introduce a novel Static-to-Dynamic model (S2D) that leverages existing SFER knowle"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05447","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/2312.05447/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":"2026-07-05T09:04:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aYUZtZ8eNDgvsQbDitQRVUpSiItWLRHXJTQU/CHSEPsOQj4xvDbZ74w9qXd5R3znVfz1+ri3GSJRBCxaFUeeDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T20:32:30.267676Z"},"content_sha256":"bb47144a506d97dce6a64beb7936270bd4d7ed342661bedaef5aa4a77af2f9d2","schema_version":"1.0","event_id":"sha256:bb47144a506d97dce6a64beb7936270bd4d7ed342661bedaef5aa4a77af2f9d2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZRDHAYHPMPNMIHVUJ2G7KBIXSI/bundle.json","state_url":"https://pith.science/pith/ZRDHAYHPMPNMIHVUJ2G7KBIXSI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZRDHAYHPMPNMIHVUJ2G7KBIXSI/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":"2026-08-19T20:32:30Z","links":{"resolver":"https://pith.science/pith/ZRDHAYHPMPNMIHVUJ2G7KBIXSI","bundle":"https://pith.science/pith/ZRDHAYHPMPNMIHVUJ2G7KBIXSI/bundle.json","state":"https://pith.science/pith/ZRDHAYHPMPNMIHVUJ2G7KBIXSI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZRDHAYHPMPNMIHVUJ2G7KBIXSI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZRDHAYHPMPNMIHVUJ2G7KBIXSI","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":"e94694b4940576941e3e87a1521a3a98a3476173a2a30f00a9f489793f62e881","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-09T03:16:09Z","title_canon_sha256":"0af5f3776b3ddd6a8438addac27ea706584fbb7f86072a48a7b628f803df3dbf"},"schema_version":"1.0","source":{"id":"2312.05447","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05447","created_at":"2026-07-05T09:04:08Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05447v2","created_at":"2026-07-05T09:04:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05447","created_at":"2026-07-05T09:04:08Z"},{"alias_kind":"pith_short_12","alias_value":"ZRDHAYHPMPNM","created_at":"2026-07-05T09:04:08Z"},{"alias_kind":"pith_short_16","alias_value":"ZRDHAYHPMPNMIHVU","created_at":"2026-07-05T09:04:08Z"},{"alias_kind":"pith_short_8","alias_value":"ZRDHAYHP","created_at":"2026-07-05T09:04:08Z"}],"graph_snapshots":[{"event_id":"sha256:bb47144a506d97dce6a64beb7936270bd4d7ed342661bedaef5aa4a77af2f9d2","target":"graph","created_at":"2026-07-05T09:04:08Z","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/2312.05447/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dynamic facial expression recognition (DFER) in the wild is still hindered by data limitations, e.g., insufficient quantity and diversity of pose, occlusion and illumination, as well as the inherent ambiguity of facial expressions. In contrast, static facial expression recognition (SFER) currently shows much higher performance and can benefit from more abundant high-quality training data. Moreover, the appearance features and dynamic dependencies of DFER remain largely unexplored. To tackle these challenges, we introduce a novel Static-to-Dynamic model (S2D) that leverages existing SFER knowle","authors_text":"Jia Li, Meng Wang, Richang Hong, Shiguang Shan, Yin Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-09T03:16:09Z","title":"From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05447","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":"sha256:6659f1406e59c02c8e3a93e4172aeab7a2dcd1433935c175f792d8ae871d34dd","target":"record","created_at":"2026-07-05T09:04:08Z","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":"e94694b4940576941e3e87a1521a3a98a3476173a2a30f00a9f489793f62e881","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-09T03:16:09Z","title_canon_sha256":"0af5f3776b3ddd6a8438addac27ea706584fbb7f86072a48a7b628f803df3dbf"},"schema_version":"1.0","source":{"id":"2312.05447","kind":"arxiv","version":2}},"canonical_sha256":"cc467060ef63dac41eb44e8df50517922646dd884a52dd5a83b64ddc9c251b67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc467060ef63dac41eb44e8df50517922646dd884a52dd5a83b64ddc9c251b67","first_computed_at":"2026-07-05T09:04:08.460769Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:04:08.460769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CiDKScM9l7qZ7+5EkTbULgOc5oVRaIkCoSi3Y5SYt5bTzzEqeajyU5ucY9vC6xKzahsXhIFsWk4EbGDVCyhYDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:04:08.461199Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.05447","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6659f1406e59c02c8e3a93e4172aeab7a2dcd1433935c175f792d8ae871d34dd","sha256:bb47144a506d97dce6a64beb7936270bd4d7ed342661bedaef5aa4a77af2f9d2"],"state_sha256":"5ec0c4e9e2b7c5da7f646658485f642b8c1e94986e7b51b642fefd25dd217c6a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ssf/8XqFgKu0y6RLN43Zx3VXASsBFWi88FEh19BqOhG2qZLeKkjFDgj181PZGli7qSZ2PVaAxdDNrJRhQynXAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T20:32:30.271785Z","bundle_sha256":"de77e31c40a397be805fddf8f99fcf44949fb0d04efc5d1a4bebdc6a9da62fde"}}