{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:CK7EZWFXQFCLLSFML7VTMVJMRC","short_pith_number":"pith:CK7EZWFX","canonical_record":{"source":{"id":"2210.13988","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-23T11:26:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"94ec360edaf984e963f26f406c3b2a4baec10bf671ba016ca3e711ad5e6ad65c","abstract_canon_sha256":"59ba256697b68614750869389ae54493ae2938af97c7741c5fef2d46d08688bb"},"schema_version":"1.0"},"canonical_sha256":"12be4cd8b78144b5c8ac5feb36552c88862edf4b22fa4e1fbf8081cb2a0a52ac","source":{"kind":"arxiv","id":"2210.13988","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.13988","created_at":"2026-07-05T05:10:25Z"},{"alias_kind":"arxiv_version","alias_value":"2210.13988v1","created_at":"2026-07-05T05:10:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.13988","created_at":"2026-07-05T05:10:25Z"},{"alias_kind":"pith_short_12","alias_value":"CK7EZWFXQFCL","created_at":"2026-07-05T05:10:25Z"},{"alias_kind":"pith_short_16","alias_value":"CK7EZWFXQFCLLSFM","created_at":"2026-07-05T05:10:25Z"},{"alias_kind":"pith_short_8","alias_value":"CK7EZWFX","created_at":"2026-07-05T05:10:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:CK7EZWFXQFCLLSFML7VTMVJMRC","target":"record","payload":{"canonical_record":{"source":{"id":"2210.13988","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-23T11:26:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"94ec360edaf984e963f26f406c3b2a4baec10bf671ba016ca3e711ad5e6ad65c","abstract_canon_sha256":"59ba256697b68614750869389ae54493ae2938af97c7741c5fef2d46d08688bb"},"schema_version":"1.0"},"canonical_sha256":"12be4cd8b78144b5c8ac5feb36552c88862edf4b22fa4e1fbf8081cb2a0a52ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:10:25.107119Z","signature_b64":"JOHe9cAyuQxsl8Y9oPkl6fVgEa5zjhffkZc29LUn9u7QUcNJQibQbsHX8GEQ39BpnwiDlIr0p4AqoaLmwCy0Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12be4cd8b78144b5c8ac5feb36552c88862edf4b22fa4e1fbf8081cb2a0a52ac","last_reissued_at":"2026-07-05T05:10:25.106726Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:10:25.106726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.13988","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":"2026-07-05T05:10:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kBHnsEukm4b0SS38IdKmXc0mVraJ2JqAtMVW249YNl21qlJlM5ztlh4WizCVGbhHAgnMdBak4jRj05EzIdByDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:25:49.653453Z"},"content_sha256":"0fc51b8720e2f7aebdeb43fd8bd660fbe216450d0ddf91531dae999a30713a05","schema_version":"1.0","event_id":"sha256:0fc51b8720e2f7aebdeb43fd8bd660fbe216450d0ddf91531dae999a30713a05"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:CK7EZWFXQFCLLSFML7VTMVJMRC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attention Based Relation Network for Facial Action Units Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Haoxiang Wang, Jiawang Liu, Mingze Sun, Yao Wei","submitted_at":"2022-10-23T11:26:53Z","abstract_excerpt":"Facial action unit (AU) recognition is essential to facial expression analysis. Since there are highly positive or negative correlations between AUs, some existing AU recognition works have focused on modeling AU relations. However, previous relationship-based approaches typically embed predefined rules into their models and ignore the impact of various AU relations in different crowds. In this paper, we propose a novel Attention Based Relation Network (ABRNet) for AU recognition, which can automatically capture AU relations without unnecessary or even disturbing predefined rules. ABRNet uses "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.13988","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/2210.13988/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":"2026-07-05T05:10:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8M0U3uqSWmUiwIciWBPYjhpVaRmHbxscejnTd82pfwXBjYQN/8RFQFwprBJN+hZnIZ+6eWGX/9ytEklAFq0SBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:25:49.654401Z"},"content_sha256":"f406ec77a117825fd85c50e61dd9211c58a5dce6ef4eb778ff05d40be21f6485","schema_version":"1.0","event_id":"sha256:f406ec77a117825fd85c50e61dd9211c58a5dce6ef4eb778ff05d40be21f6485"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CK7EZWFXQFCLLSFML7VTMVJMRC/bundle.json","state_url":"https://pith.science/pith/CK7EZWFXQFCLLSFML7VTMVJMRC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CK7EZWFXQFCLLSFML7VTMVJMRC/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":"2026-08-05T22:25:49Z","links":{"resolver":"https://pith.science/pith/CK7EZWFXQFCLLSFML7VTMVJMRC","bundle":"https://pith.science/pith/CK7EZWFXQFCLLSFML7VTMVJMRC/bundle.json","state":"https://pith.science/pith/CK7EZWFXQFCLLSFML7VTMVJMRC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CK7EZWFXQFCLLSFML7VTMVJMRC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CK7EZWFXQFCLLSFML7VTMVJMRC","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":"59ba256697b68614750869389ae54493ae2938af97c7741c5fef2d46d08688bb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-23T11:26:53Z","title_canon_sha256":"94ec360edaf984e963f26f406c3b2a4baec10bf671ba016ca3e711ad5e6ad65c"},"schema_version":"1.0","source":{"id":"2210.13988","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.13988","created_at":"2026-07-05T05:10:25Z"},{"alias_kind":"arxiv_version","alias_value":"2210.13988v1","created_at":"2026-07-05T05:10:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.13988","created_at":"2026-07-05T05:10:25Z"},{"alias_kind":"pith_short_12","alias_value":"CK7EZWFXQFCL","created_at":"2026-07-05T05:10:25Z"},{"alias_kind":"pith_short_16","alias_value":"CK7EZWFXQFCLLSFM","created_at":"2026-07-05T05:10:25Z"},{"alias_kind":"pith_short_8","alias_value":"CK7EZWFX","created_at":"2026-07-05T05:10:25Z"}],"graph_snapshots":[{"event_id":"sha256:f406ec77a117825fd85c50e61dd9211c58a5dce6ef4eb778ff05d40be21f6485","target":"graph","created_at":"2026-07-05T05:10:25Z","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/2210.13988/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Facial action unit (AU) recognition is essential to facial expression analysis. Since there are highly positive or negative correlations between AUs, some existing AU recognition works have focused on modeling AU relations. However, previous relationship-based approaches typically embed predefined rules into their models and ignore the impact of various AU relations in different crowds. In this paper, we propose a novel Attention Based Relation Network (ABRNet) for AU recognition, which can automatically capture AU relations without unnecessary or even disturbing predefined rules. ABRNet uses ","authors_text":"Haoxiang Wang, Jiawang Liu, Mingze Sun, Yao Wei","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-23T11:26:53Z","title":"Attention Based Relation Network for Facial Action Units Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.13988","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":"sha256:0fc51b8720e2f7aebdeb43fd8bd660fbe216450d0ddf91531dae999a30713a05","target":"record","created_at":"2026-07-05T05:10:25Z","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":"59ba256697b68614750869389ae54493ae2938af97c7741c5fef2d46d08688bb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-23T11:26:53Z","title_canon_sha256":"94ec360edaf984e963f26f406c3b2a4baec10bf671ba016ca3e711ad5e6ad65c"},"schema_version":"1.0","source":{"id":"2210.13988","kind":"arxiv","version":1}},"canonical_sha256":"12be4cd8b78144b5c8ac5feb36552c88862edf4b22fa4e1fbf8081cb2a0a52ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12be4cd8b78144b5c8ac5feb36552c88862edf4b22fa4e1fbf8081cb2a0a52ac","first_computed_at":"2026-07-05T05:10:25.106726Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:10:25.106726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JOHe9cAyuQxsl8Y9oPkl6fVgEa5zjhffkZc29LUn9u7QUcNJQibQbsHX8GEQ39BpnwiDlIr0p4AqoaLmwCy0Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T05:10:25.107119Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.13988","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0fc51b8720e2f7aebdeb43fd8bd660fbe216450d0ddf91531dae999a30713a05","sha256:f406ec77a117825fd85c50e61dd9211c58a5dce6ef4eb778ff05d40be21f6485"],"state_sha256":"baf902ce754b40ddd06039e3f26eb45bc63016b70ffb2db91e6c1528784cff2b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EWOALtha52hjOSYKs1Kny8y5jW8H+YJnfCh5S4dnCHRGvgTJX+2RmMF17A6GO4jVyHp7lutYeRpfOIQ3dykBAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T22:25:49.659635Z","bundle_sha256":"bb6f2b23af0fb636b165fb53e4318f71d287c29eb54c18e51f28a59f33110aee"}}