{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:63C3LN6UU4OKS7NMRVSSXMHRC2","short_pith_number":"pith:63C3LN6U","canonical_record":{"source":{"id":"1904.09939","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-22T16:26:20Z","cross_cats_sorted":[],"title_canon_sha256":"d6fa4977c324752f7b683e09c3918acc19454efe24456b372ce9db5b0deb1f7f","abstract_canon_sha256":"617ec4efab6485ec73b64bb721bd6cdde37d78dfda591c9bed5f48a8c17139dc"},"schema_version":"1.0"},"canonical_sha256":"f6c5b5b7d4a71ca97dac8d652bb0f116a54a80b48665c371c0d078a37d641da7","source":{"kind":"arxiv","id":"1904.09939","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09939","created_at":"2026-05-17T23:48:02Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09939v1","created_at":"2026-05-17T23:48:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09939","created_at":"2026-05-17T23:48:02Z"},{"alias_kind":"pith_short_12","alias_value":"63C3LN6UU4OK","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"63C3LN6UU4OKS7NM","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"63C3LN6U","created_at":"2026-05-18T12:33:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:63C3LN6UU4OKS7NMRVSSXMHRC2","target":"record","payload":{"canonical_record":{"source":{"id":"1904.09939","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-22T16:26:20Z","cross_cats_sorted":[],"title_canon_sha256":"d6fa4977c324752f7b683e09c3918acc19454efe24456b372ce9db5b0deb1f7f","abstract_canon_sha256":"617ec4efab6485ec73b64bb721bd6cdde37d78dfda591c9bed5f48a8c17139dc"},"schema_version":"1.0"},"canonical_sha256":"f6c5b5b7d4a71ca97dac8d652bb0f116a54a80b48665c371c0d078a37d641da7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:02.808505Z","signature_b64":"6/n01glsb4mcGT+n0LLko2kl7GMNx45KqODhMwYmnjgOq2WpKdi6yfJBYc1Ftcntj+uu01o9F1NyxxFw3XyqCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f6c5b5b7d4a71ca97dac8d652bb0f116a54a80b48665c371c0d078a37d641da7","last_reissued_at":"2026-05-17T23:48:02.807812Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:02.807812Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.09939","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":"2026-05-17T23:48:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/7yzmqitVxwhEfHnXVxQRsZqX6OGZjkfj78auNhvTUmRxwPF6n7NZNC1js+MoALR4DQec+Xx+LYwcVx4/UoSCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T06:58:25.302177Z"},"content_sha256":"50fc2e6f287b0560f29bc10251d8a382093a353d8392805bd0898ac44d638996","schema_version":"1.0","event_id":"sha256:50fc2e6f287b0560f29bc10251d8a382093a353d8392805bd0898ac44d638996"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:63C3LN6UU4OKS7NMRVSSXMHRC2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guanbin Li, Liang Lin, Qing Wang, Xin Zhu, Yirui Zeng","submitted_at":"2019-04-22T16:26:20Z","abstract_excerpt":"Facial action unit (AU) recognition is a crucial task for facial expressions analysis and has attracted extensive attention in the field of artificial intelligence and computer vision. Existing works have either focused on designing or learning complex regional feature representations, or delved into various types of AU relationship modeling. Albeit with varying degrees of progress, it is still arduous for existing methods to handle complex situations. In this paper, we investigate how to integrate the semantic relationship propagation between AUs in a deep neural network framework to enhance "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09939","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":""},"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":"2026-05-17T23:48:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GC8jFZltdUwoDOY3bhsq7bXQUC3wJFw3Of+svf2BStiWEUsaQ202sVKImx7pRH+NRb4PYueINGqElTjoadc1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T06:58:25.302547Z"},"content_sha256":"646765a58d498d62700117e8206cd177273da9c1ee21eafa879c00d68dd64ed3","schema_version":"1.0","event_id":"sha256:646765a58d498d62700117e8206cd177273da9c1ee21eafa879c00d68dd64ed3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/63C3LN6UU4OKS7NMRVSSXMHRC2/bundle.json","state_url":"https://pith.science/pith/63C3LN6UU4OKS7NMRVSSXMHRC2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/63C3LN6UU4OKS7NMRVSSXMHRC2/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":"2026-06-02T06:58:25Z","links":{"resolver":"https://pith.science/pith/63C3LN6UU4OKS7NMRVSSXMHRC2","bundle":"https://pith.science/pith/63C3LN6UU4OKS7NMRVSSXMHRC2/bundle.json","state":"https://pith.science/pith/63C3LN6UU4OKS7NMRVSSXMHRC2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/63C3LN6UU4OKS7NMRVSSXMHRC2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:63C3LN6UU4OKS7NMRVSSXMHRC2","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":"617ec4efab6485ec73b64bb721bd6cdde37d78dfda591c9bed5f48a8c17139dc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-22T16:26:20Z","title_canon_sha256":"d6fa4977c324752f7b683e09c3918acc19454efe24456b372ce9db5b0deb1f7f"},"schema_version":"1.0","source":{"id":"1904.09939","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09939","created_at":"2026-05-17T23:48:02Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09939v1","created_at":"2026-05-17T23:48:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09939","created_at":"2026-05-17T23:48:02Z"},{"alias_kind":"pith_short_12","alias_value":"63C3LN6UU4OK","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"63C3LN6UU4OKS7NM","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"63C3LN6U","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:646765a58d498d62700117e8206cd177273da9c1ee21eafa879c00d68dd64ed3","target":"graph","created_at":"2026-05-17T23:48:02Z","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) recognition is a crucial task for facial expressions analysis and has attracted extensive attention in the field of artificial intelligence and computer vision. Existing works have either focused on designing or learning complex regional feature representations, or delved into various types of AU relationship modeling. Albeit with varying degrees of progress, it is still arduous for existing methods to handle complex situations. In this paper, we investigate how to integrate the semantic relationship propagation between AUs in a deep neural network framework to enhance ","authors_text":"Guanbin Li, Liang Lin, Qing Wang, Xin Zhu, Yirui Zeng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-22T16:26:20Z","title":"Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09939","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":"sha256:50fc2e6f287b0560f29bc10251d8a382093a353d8392805bd0898ac44d638996","target":"record","created_at":"2026-05-17T23:48:02Z","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":"617ec4efab6485ec73b64bb721bd6cdde37d78dfda591c9bed5f48a8c17139dc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-22T16:26:20Z","title_canon_sha256":"d6fa4977c324752f7b683e09c3918acc19454efe24456b372ce9db5b0deb1f7f"},"schema_version":"1.0","source":{"id":"1904.09939","kind":"arxiv","version":1}},"canonical_sha256":"f6c5b5b7d4a71ca97dac8d652bb0f116a54a80b48665c371c0d078a37d641da7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6c5b5b7d4a71ca97dac8d652bb0f116a54a80b48665c371c0d078a37d641da7","first_computed_at":"2026-05-17T23:48:02.807812Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:02.807812Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6/n01glsb4mcGT+n0LLko2kl7GMNx45KqODhMwYmnjgOq2WpKdi6yfJBYc1Ftcntj+uu01o9F1NyxxFw3XyqCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:02.808505Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.09939","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:50fc2e6f287b0560f29bc10251d8a382093a353d8392805bd0898ac44d638996","sha256:646765a58d498d62700117e8206cd177273da9c1ee21eafa879c00d68dd64ed3"],"state_sha256":"ff526154ec87741fe00dd3dfa6a1d7906608c55497328e1e1f584826de677802"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uiIBSUqVnEGyU11AeKs+vH8ostsuPh4gTKzX8N+DYcZGxpVgq3FR6QhabxeTcVDW4DhLlbBjpl8kesIJMm52Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T06:58:25.304663Z","bundle_sha256":"57de8c93b508e68dc9e4734de81f9200a02a70641789601f3ec6b4685c74257d"}}