{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DA2I7BJP7XM6ZFOACPUHWN37TA","short_pith_number":"pith:DA2I7BJP","canonical_record":{"source":{"id":"2408.10614","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-20T07:48:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"23f0472216020cfeb6e70d900b2a685d49d7a60faf09bdbbbca3906e81ce04d9","abstract_canon_sha256":"97fbc05f982f82ebaa64a4ab5c415aebeb0cd84e4b3a5e38418ccdcea5a64f44"},"schema_version":"1.0"},"canonical_sha256":"18348f852ffdd9ec95c013e87b377f9833f850e2e956563fbab9fc438ac4c5e7","source":{"kind":"arxiv","id":"2408.10614","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.10614","created_at":"2026-07-05T08:57:14Z"},{"alias_kind":"arxiv_version","alias_value":"2408.10614v1","created_at":"2026-07-05T08:57:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.10614","created_at":"2026-07-05T08:57:14Z"},{"alias_kind":"pith_short_12","alias_value":"DA2I7BJP7XM6","created_at":"2026-07-05T08:57:14Z"},{"alias_kind":"pith_short_16","alias_value":"DA2I7BJP7XM6ZFOA","created_at":"2026-07-05T08:57:14Z"},{"alias_kind":"pith_short_8","alias_value":"DA2I7BJP","created_at":"2026-07-05T08:57:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DA2I7BJP7XM6ZFOACPUHWN37TA","target":"record","payload":{"canonical_record":{"source":{"id":"2408.10614","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-20T07:48:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"23f0472216020cfeb6e70d900b2a685d49d7a60faf09bdbbbca3906e81ce04d9","abstract_canon_sha256":"97fbc05f982f82ebaa64a4ab5c415aebeb0cd84e4b3a5e38418ccdcea5a64f44"},"schema_version":"1.0"},"canonical_sha256":"18348f852ffdd9ec95c013e87b377f9833f850e2e956563fbab9fc438ac4c5e7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:57:14.625251Z","signature_b64":"vTdr/cE90xcuMmokRwOqKZkmooDYCSaGRY1v8tOsjWeap4PfDdazotJSxjsQFFZPdOTOeJCnCfCdXKBULOYvAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"18348f852ffdd9ec95c013e87b377f9833f850e2e956563fbab9fc438ac4c5e7","last_reissued_at":"2026-07-05T08:57:14.624757Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:57:14.624757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.10614","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":"2026-07-05T08:57:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uSYJd5QBvsPbcCIx06eKsQOffPocBGN7efhUTBYbzHt4FbGQOc0mu4DYbvjwyHwzikY+SpST7/UeJFQsV/QQCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T18:03:53.768129Z"},"content_sha256":"c15e0bcd323e5da36b68d739fb34f38e476a5b5f311672ca015808b8263df03b","schema_version":"1.0","event_id":"sha256:c15e0bcd323e5da36b68d739fb34f38e476a5b5f311672ca015808b8263df03b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DA2I7BJP7XM6ZFOACPUHWN37TA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generalizable Facial Expression Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chenyi Liang, Jiani Hu, Weihong Deng, Xiuqi Zheng, Yuhang Zhang","submitted_at":"2024-08-20T07:48:45Z","abstract_excerpt":"SOTA facial expression recognition (FER) methods fail on test sets that have domain gaps with the train set. Recent domain adaptation FER methods need to acquire labeled or unlabeled samples of target domains to fine-tune the FER model, which might be infeasible in real-world deployment. In this paper, we aim to improve the zero-shot generalization ability of FER methods on different unseen test sets using only one train set. Inspired by how humans first detect faces and then select expression features, we propose a novel FER pipeline to extract expression-related features from any given face "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.10614","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/2408.10614/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":"2026-07-05T08:57:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ttjFRx52eSqOhwvcpRwU+aKwFbpkf5khgnjEBx7WvyS4PFcahdrb1B0jLDv9GdHAgWOvD/7G1IhebfWZxz3ZDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T18:03:53.768520Z"},"content_sha256":"d87aa22b4476a35060ff81dde80e1f9edf566a5d2f9b7c01e80a47b325d378cb","schema_version":"1.0","event_id":"sha256:d87aa22b4476a35060ff81dde80e1f9edf566a5d2f9b7c01e80a47b325d378cb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DA2I7BJP7XM6ZFOACPUHWN37TA/bundle.json","state_url":"https://pith.science/pith/DA2I7BJP7XM6ZFOACPUHWN37TA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DA2I7BJP7XM6ZFOACPUHWN37TA/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":"2026-07-12T18:03:53Z","links":{"resolver":"https://pith.science/pith/DA2I7BJP7XM6ZFOACPUHWN37TA","bundle":"https://pith.science/pith/DA2I7BJP7XM6ZFOACPUHWN37TA/bundle.json","state":"https://pith.science/pith/DA2I7BJP7XM6ZFOACPUHWN37TA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DA2I7BJP7XM6ZFOACPUHWN37TA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DA2I7BJP7XM6ZFOACPUHWN37TA","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":"97fbc05f982f82ebaa64a4ab5c415aebeb0cd84e4b3a5e38418ccdcea5a64f44","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-20T07:48:45Z","title_canon_sha256":"23f0472216020cfeb6e70d900b2a685d49d7a60faf09bdbbbca3906e81ce04d9"},"schema_version":"1.0","source":{"id":"2408.10614","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.10614","created_at":"2026-07-05T08:57:14Z"},{"alias_kind":"arxiv_version","alias_value":"2408.10614v1","created_at":"2026-07-05T08:57:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.10614","created_at":"2026-07-05T08:57:14Z"},{"alias_kind":"pith_short_12","alias_value":"DA2I7BJP7XM6","created_at":"2026-07-05T08:57:14Z"},{"alias_kind":"pith_short_16","alias_value":"DA2I7BJP7XM6ZFOA","created_at":"2026-07-05T08:57:14Z"},{"alias_kind":"pith_short_8","alias_value":"DA2I7BJP","created_at":"2026-07-05T08:57:14Z"}],"graph_snapshots":[{"event_id":"sha256:d87aa22b4476a35060ff81dde80e1f9edf566a5d2f9b7c01e80a47b325d378cb","target":"graph","created_at":"2026-07-05T08:57:14Z","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/2408.10614/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"SOTA facial expression recognition (FER) methods fail on test sets that have domain gaps with the train set. Recent domain adaptation FER methods need to acquire labeled or unlabeled samples of target domains to fine-tune the FER model, which might be infeasible in real-world deployment. In this paper, we aim to improve the zero-shot generalization ability of FER methods on different unseen test sets using only one train set. Inspired by how humans first detect faces and then select expression features, we propose a novel FER pipeline to extract expression-related features from any given face ","authors_text":"Chenyi Liang, Jiani Hu, Weihong Deng, Xiuqi Zheng, Yuhang Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-20T07:48:45Z","title":"Generalizable Facial Expression Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.10614","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:c15e0bcd323e5da36b68d739fb34f38e476a5b5f311672ca015808b8263df03b","target":"record","created_at":"2026-07-05T08:57:14Z","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":"97fbc05f982f82ebaa64a4ab5c415aebeb0cd84e4b3a5e38418ccdcea5a64f44","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-20T07:48:45Z","title_canon_sha256":"23f0472216020cfeb6e70d900b2a685d49d7a60faf09bdbbbca3906e81ce04d9"},"schema_version":"1.0","source":{"id":"2408.10614","kind":"arxiv","version":1}},"canonical_sha256":"18348f852ffdd9ec95c013e87b377f9833f850e2e956563fbab9fc438ac4c5e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18348f852ffdd9ec95c013e87b377f9833f850e2e956563fbab9fc438ac4c5e7","first_computed_at":"2026-07-05T08:57:14.624757Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:57:14.624757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vTdr/cE90xcuMmokRwOqKZkmooDYCSaGRY1v8tOsjWeap4PfDdazotJSxjsQFFZPdOTOeJCnCfCdXKBULOYvAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:57:14.625251Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.10614","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c15e0bcd323e5da36b68d739fb34f38e476a5b5f311672ca015808b8263df03b","sha256:d87aa22b4476a35060ff81dde80e1f9edf566a5d2f9b7c01e80a47b325d378cb"],"state_sha256":"b601449ad496528f6d5523fa977074b1a18d15cbc28c88956a7d291d347d5140"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1+97GApxabjsy9CIQo/JePfbI8kC3ObXqEI0eIFQbRenTYABN/mWSncue/eQFWdrwXXAW3YOFGJt+DdFvbRiBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T18:03:53.770947Z","bundle_sha256":"785f7215df36294ec784026df44c2ca644c047db73f931cd77f98341371e474f"}}