{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:WSPZDO42SBXRZ6AJ2OMB4WOQWD","short_pith_number":"pith:WSPZDO42","canonical_record":{"source":{"id":"1803.05588","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T04:24:02Z","cross_cats_sorted":[],"title_canon_sha256":"46930f46021b49d1d9aa4cb5da03d8d3513dd5c047ba24cf10011a582f70aa90","abstract_canon_sha256":"e51ccf32219a5bd1f519238de8996d4d109b65ed047c3fd29d8d131b0a664b5f"},"schema_version":"1.0"},"canonical_sha256":"b49f91bb9a906f1cf809d3981e59d0b0cc98a13090b5e57d0166ee4bd71bde15","source":{"kind":"arxiv","id":"1803.05588","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.05588","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"arxiv_version","alias_value":"1803.05588v2","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.05588","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"pith_short_12","alias_value":"WSPZDO42SBXR","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"WSPZDO42SBXRZ6AJ","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"WSPZDO42","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:WSPZDO42SBXRZ6AJ2OMB4WOQWD","target":"record","payload":{"canonical_record":{"source":{"id":"1803.05588","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T04:24:02Z","cross_cats_sorted":[],"title_canon_sha256":"46930f46021b49d1d9aa4cb5da03d8d3513dd5c047ba24cf10011a582f70aa90","abstract_canon_sha256":"e51ccf32219a5bd1f519238de8996d4d109b65ed047c3fd29d8d131b0a664b5f"},"schema_version":"1.0"},"canonical_sha256":"b49f91bb9a906f1cf809d3981e59d0b0cc98a13090b5e57d0166ee4bd71bde15","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:30.544975Z","signature_b64":"aW8Xh2KhQO2v1rnaRIk7G3pkTLwZkCBIlh2lHh9JIdOQFA2G1eqNE2zI8SnpqCA8FnLcBCRMDNkt/VEr6sxiDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b49f91bb9a906f1cf809d3981e59d0b0cc98a13090b5e57d0166ee4bd71bde15","last_reissued_at":"2026-05-18T00:00:30.544300Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:30.544300Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.05588","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":"2026-05-18T00:00:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4HrUvApoEXJQrSLLM7aDYEk8FoYn1J8RTBva4dn6IH6K7NdQiJQzvZibVAl2Ys9sUZCVFjredDvecoODpFOfCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T22:13:10.094445Z"},"content_sha256":"cb714b10ac694aad5024d508c5ffd862a8d4b680359f13d913af28a26cca3764","schema_version":"1.0","event_id":"sha256:cb714b10ac694aad5024d508c5ffd862a8d4b680359f13d913af28a26cca3764"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:WSPZDO42SBXRZ6AJ2OMB4WOQWD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jianfei Cai, Lizhuang Ma, Zhilei Liu, Zhiwen Shao","submitted_at":"2018-03-15T04:24:02Z","abstract_excerpt":"Facial action unit (AU) detection and face alignment are two highly correlated tasks since facial landmarks can provide precise AU locations to facilitate the extraction of meaningful local features for AU detection. Most existing AU detection works often treat face alignment as a preprocessing and handle the two tasks independently. In this paper, we propose a novel end-to-end deep learning framework for joint AU detection and face alignment, which has not been explored before. In particular, multi-scale shared features are learned firstly, and high-level features of face alignment are fed in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.05588","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":""},"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":"2026-05-18T00:00:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EHXoxc8gPY11L39WzKG6y7CMG5wHbW3TpvJaM7HuoKLZELh6Y22Kg9G2mI9DFKOgvNR0y5I1DR4r/zLcVKqMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T22:13:10.094805Z"},"content_sha256":"1ef59a93d53ce220400d6544824dfd803afab93d42ca4f195c552576f6830296","schema_version":"1.0","event_id":"sha256:1ef59a93d53ce220400d6544824dfd803afab93d42ca4f195c552576f6830296"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WSPZDO42SBXRZ6AJ2OMB4WOQWD/bundle.json","state_url":"https://pith.science/pith/WSPZDO42SBXRZ6AJ2OMB4WOQWD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WSPZDO42SBXRZ6AJ2OMB4WOQWD/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":"2026-06-08T22:13:10Z","links":{"resolver":"https://pith.science/pith/WSPZDO42SBXRZ6AJ2OMB4WOQWD","bundle":"https://pith.science/pith/WSPZDO42SBXRZ6AJ2OMB4WOQWD/bundle.json","state":"https://pith.science/pith/WSPZDO42SBXRZ6AJ2OMB4WOQWD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WSPZDO42SBXRZ6AJ2OMB4WOQWD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WSPZDO42SBXRZ6AJ2OMB4WOQWD","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":"e51ccf32219a5bd1f519238de8996d4d109b65ed047c3fd29d8d131b0a664b5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T04:24:02Z","title_canon_sha256":"46930f46021b49d1d9aa4cb5da03d8d3513dd5c047ba24cf10011a582f70aa90"},"schema_version":"1.0","source":{"id":"1803.05588","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.05588","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"arxiv_version","alias_value":"1803.05588v2","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.05588","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"pith_short_12","alias_value":"WSPZDO42SBXR","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"WSPZDO42SBXRZ6AJ","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"WSPZDO42","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:1ef59a93d53ce220400d6544824dfd803afab93d42ca4f195c552576f6830296","target":"graph","created_at":"2026-05-18T00:00:30Z","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"},"paper":{"abstract_excerpt":"Facial action unit (AU) detection and face alignment are two highly correlated tasks since facial landmarks can provide precise AU locations to facilitate the extraction of meaningful local features for AU detection. Most existing AU detection works often treat face alignment as a preprocessing and handle the two tasks independently. In this paper, we propose a novel end-to-end deep learning framework for joint AU detection and face alignment, which has not been explored before. In particular, multi-scale shared features are learned firstly, and high-level features of face alignment are fed in","authors_text":"Jianfei Cai, Lizhuang Ma, Zhilei Liu, Zhiwen Shao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T04:24:02Z","title":"Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.05588","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:cb714b10ac694aad5024d508c5ffd862a8d4b680359f13d913af28a26cca3764","target":"record","created_at":"2026-05-18T00:00:30Z","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":"e51ccf32219a5bd1f519238de8996d4d109b65ed047c3fd29d8d131b0a664b5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T04:24:02Z","title_canon_sha256":"46930f46021b49d1d9aa4cb5da03d8d3513dd5c047ba24cf10011a582f70aa90"},"schema_version":"1.0","source":{"id":"1803.05588","kind":"arxiv","version":2}},"canonical_sha256":"b49f91bb9a906f1cf809d3981e59d0b0cc98a13090b5e57d0166ee4bd71bde15","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b49f91bb9a906f1cf809d3981e59d0b0cc98a13090b5e57d0166ee4bd71bde15","first_computed_at":"2026-05-18T00:00:30.544300Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:30.544300Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aW8Xh2KhQO2v1rnaRIk7G3pkTLwZkCBIlh2lHh9JIdOQFA2G1eqNE2zI8SnpqCA8FnLcBCRMDNkt/VEr6sxiDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:30.544975Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.05588","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb714b10ac694aad5024d508c5ffd862a8d4b680359f13d913af28a26cca3764","sha256:1ef59a93d53ce220400d6544824dfd803afab93d42ca4f195c552576f6830296"],"state_sha256":"064b5f553dcc50adba6e9bf07e122327cef0a4c089b464840c5d83e6f3ae66df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YttFkg7PKt44bWliXqc40wMX/nKUAj1ddC08e/Yi6XvTAtGAb80Vy7Vk7ueO/rRz7iCTvBLdLPr3B3nL0WOBAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T22:13:10.096638Z","bundle_sha256":"5c97130cc6c17fc2449e2c45200505c26c9ff67d21d2dbf3c86d5d77f632d0c7"}}