{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:UMRIKPMEZL2QQ3ZLKWSUXWNIA7","short_pith_number":"pith:UMRIKPME","canonical_record":{"source":{"id":"2107.04225","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-09T05:48:22Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"82de9f5929a85425169e8501b76a72553eed4405574879a7628dccabc2361218","abstract_canon_sha256":"ee59f7f3c73d54da9b112fae3c6f4fb0a8dad3b7f40ffc01445d9bee40c53ae4"},"schema_version":"1.0"},"canonical_sha256":"a322853d84caf5086f2b55a54bd9a807ee2b533775b8833da01eea91b3198c01","source":{"kind":"arxiv","id":"2107.04225","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.04225","created_at":"2026-07-05T03:05:34Z"},{"alias_kind":"arxiv_version","alias_value":"2107.04225v3","created_at":"2026-07-05T03:05:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.04225","created_at":"2026-07-05T03:05:34Z"},{"alias_kind":"pith_short_12","alias_value":"UMRIKPMEZL2Q","created_at":"2026-07-05T03:05:34Z"},{"alias_kind":"pith_short_16","alias_value":"UMRIKPMEZL2QQ3ZL","created_at":"2026-07-05T03:05:34Z"},{"alias_kind":"pith_short_8","alias_value":"UMRIKPME","created_at":"2026-07-05T03:05:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:UMRIKPMEZL2QQ3ZLKWSUXWNIA7","target":"record","payload":{"canonical_record":{"source":{"id":"2107.04225","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-09T05:48:22Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"82de9f5929a85425169e8501b76a72553eed4405574879a7628dccabc2361218","abstract_canon_sha256":"ee59f7f3c73d54da9b112fae3c6f4fb0a8dad3b7f40ffc01445d9bee40c53ae4"},"schema_version":"1.0"},"canonical_sha256":"a322853d84caf5086f2b55a54bd9a807ee2b533775b8833da01eea91b3198c01","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:05:34.351492Z","signature_b64":"RgoffoL3QNCdZq5VaUYgq4iPC+hfE0OPh9Iymw73eEOKNn9DskTvtV/pi0BIUxTg6TDlKqrs2NJULWK8DHWZDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a322853d84caf5086f2b55a54bd9a807ee2b533775b8833da01eea91b3198c01","last_reissued_at":"2026-07-05T03:05:34.351032Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:05:34.351032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.04225","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:05:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8t3s0yS7jPxbfFy8S8he9DZ4MdK5TvOny6rAR/WX/CPZBbjuf0iAMYu9ow/5oECAKYLlVWZCUuv3uSmG0sqNDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:17:49.734995Z"},"content_sha256":"28564c1b5882000e7fca996a795140fda65a9a0c592386550cbfd06d06fd12ce","schema_version":"1.0","event_id":"sha256:28564c1b5882000e7fca996a795140fda65a9a0c592386550cbfd06d06fd12ce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:UMRIKPMEZL2QQ3ZLKWSUXWNIA7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.CV","authors_text":"Jin Qi, Kenji Suzuki, Lingfeng Wang, Shisen Wang","submitted_at":"2021-07-09T05:48:22Z","abstract_excerpt":"Affective Behavior Analysis is an important part in human-computer interaction. Existing multi-task affective behavior recognition methods suffer from the problem of incomplete labeled datasets. To tackle this problem, this paper presents a semi-supervised model with a mean teacher framework to leverage additional unlabeled data. To be specific, a multi-task model is proposed to learn three different kinds of facial affective representations simultaneously. After that, the proposed model is assigned to be student and teacher networks. When training with unlabeled data, the teacher network is e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.04225","kind":"arxiv","version":3},"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/2107.04225/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":"2026-07-05T03:05:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NIbJ2/SGQpzwOwJwRkpdD2Le/ef0vYGRH5mObEVLv2rsftQrXQFt9JDuqjD3S4pHvA4pk7aMXr1TR7YF8N+tDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:17:49.735407Z"},"content_sha256":"5b6756f3f0a7a740858ed3e70ed30103c8e22ad6b391df93b895fa5a01ac5140","schema_version":"1.0","event_id":"sha256:5b6756f3f0a7a740858ed3e70ed30103c8e22ad6b391df93b895fa5a01ac5140"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UMRIKPMEZL2QQ3ZLKWSUXWNIA7/bundle.json","state_url":"https://pith.science/pith/UMRIKPMEZL2QQ3ZLKWSUXWNIA7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UMRIKPMEZL2QQ3ZLKWSUXWNIA7/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":"2026-07-07T11:17:49Z","links":{"resolver":"https://pith.science/pith/UMRIKPMEZL2QQ3ZLKWSUXWNIA7","bundle":"https://pith.science/pith/UMRIKPMEZL2QQ3ZLKWSUXWNIA7/bundle.json","state":"https://pith.science/pith/UMRIKPMEZL2QQ3ZLKWSUXWNIA7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UMRIKPMEZL2QQ3ZLKWSUXWNIA7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:UMRIKPMEZL2QQ3ZLKWSUXWNIA7","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":"ee59f7f3c73d54da9b112fae3c6f4fb0a8dad3b7f40ffc01445d9bee40c53ae4","cross_cats_sorted":["cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-09T05:48:22Z","title_canon_sha256":"82de9f5929a85425169e8501b76a72553eed4405574879a7628dccabc2361218"},"schema_version":"1.0","source":{"id":"2107.04225","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.04225","created_at":"2026-07-05T03:05:34Z"},{"alias_kind":"arxiv_version","alias_value":"2107.04225v3","created_at":"2026-07-05T03:05:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.04225","created_at":"2026-07-05T03:05:34Z"},{"alias_kind":"pith_short_12","alias_value":"UMRIKPMEZL2Q","created_at":"2026-07-05T03:05:34Z"},{"alias_kind":"pith_short_16","alias_value":"UMRIKPMEZL2QQ3ZL","created_at":"2026-07-05T03:05:34Z"},{"alias_kind":"pith_short_8","alias_value":"UMRIKPME","created_at":"2026-07-05T03:05:34Z"}],"graph_snapshots":[{"event_id":"sha256:5b6756f3f0a7a740858ed3e70ed30103c8e22ad6b391df93b895fa5a01ac5140","target":"graph","created_at":"2026-07-05T03:05:34Z","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/2107.04225/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Affective Behavior Analysis is an important part in human-computer interaction. Existing multi-task affective behavior recognition methods suffer from the problem of incomplete labeled datasets. To tackle this problem, this paper presents a semi-supervised model with a mean teacher framework to leverage additional unlabeled data. To be specific, a multi-task model is proposed to learn three different kinds of facial affective representations simultaneously. After that, the proposed model is assigned to be student and teacher networks. When training with unlabeled data, the teacher network is e","authors_text":"Jin Qi, Kenji Suzuki, Lingfeng Wang, Shisen Wang","cross_cats":["cs.HC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-09T05:48:22Z","title":"A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.04225","kind":"arxiv","version":3},"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":"sha256:28564c1b5882000e7fca996a795140fda65a9a0c592386550cbfd06d06fd12ce","target":"record","created_at":"2026-07-05T03:05:34Z","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":"ee59f7f3c73d54da9b112fae3c6f4fb0a8dad3b7f40ffc01445d9bee40c53ae4","cross_cats_sorted":["cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-09T05:48:22Z","title_canon_sha256":"82de9f5929a85425169e8501b76a72553eed4405574879a7628dccabc2361218"},"schema_version":"1.0","source":{"id":"2107.04225","kind":"arxiv","version":3}},"canonical_sha256":"a322853d84caf5086f2b55a54bd9a807ee2b533775b8833da01eea91b3198c01","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a322853d84caf5086f2b55a54bd9a807ee2b533775b8833da01eea91b3198c01","first_computed_at":"2026-07-05T03:05:34.351032Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:05:34.351032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RgoffoL3QNCdZq5VaUYgq4iPC+hfE0OPh9Iymw73eEOKNn9DskTvtV/pi0BIUxTg6TDlKqrs2NJULWK8DHWZDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:05:34.351492Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.04225","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:28564c1b5882000e7fca996a795140fda65a9a0c592386550cbfd06d06fd12ce","sha256:5b6756f3f0a7a740858ed3e70ed30103c8e22ad6b391df93b895fa5a01ac5140"],"state_sha256":"8470db37e18e81503cb7b59b808e975ea3b7506a58859c0f0979d12cd0ca21f4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"slnheTnC+t8uMpWL8ObvMzkdlb5TljqX58FUig6hcOsrIqJ/bkvb+lGmK2O1NqRLdubKd+CteSCELwOiNyvdCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:17:49.737656Z","bundle_sha256":"3a62ef54ba509447c2fe4f50409ad764c872ed8e720f35eec2ae297519651342"}}