{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:TVAMQWS5DRDOYEPENO63HI4OH5","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":"ac0f299b7af420eb3b69b4e8f1e86c161c6ac5c4fee23345948546af9c78e6ab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-08T12:13:29Z","title_canon_sha256":"8b8812c34412baa509afdaeb04e731829545893540960e186ddac9e2f28f0ca8"},"schema_version":"1.0","source":{"id":"2203.04038","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.04038","created_at":"2026-07-05T04:03:05Z"},{"alias_kind":"arxiv_version","alias_value":"2203.04038v1","created_at":"2026-07-05T04:03:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.04038","created_at":"2026-07-05T04:03:05Z"},{"alias_kind":"pith_short_12","alias_value":"TVAMQWS5DRDO","created_at":"2026-07-05T04:03:05Z"},{"alias_kind":"pith_short_16","alias_value":"TVAMQWS5DRDOYEPE","created_at":"2026-07-05T04:03:05Z"},{"alias_kind":"pith_short_8","alias_value":"TVAMQWS5","created_at":"2026-07-05T04:03:05Z"}],"graph_snapshots":[{"event_id":"sha256:727425b6a5faaa329fd8d6347f819fd4f60eb8a3ec99e0dfecc278d1e9493352","target":"graph","created_at":"2026-07-05T04:03:05Z","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/2203.04038/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most gait recognition methods exploit spatial-temporal representations from static appearances and dynamic walking patterns. However, we observe that many part-based methods neglect representations at boundaries. In addition, the phenomenon of overfitting on training data is relatively common in gait recognition, which is perhaps due to insufficient data and low-informative gait silhouettes. Motivated by these observations, we propose a novel mask-based regularization method named ReverseMask. By injecting perturbation on the feature map, the proposed regularization method helps convolutional ","authors_text":"Beibei Lin, Chuanfu Shen, George Q. Huang, Shiqi Yu, Shunli Zhang, Xin Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-08T12:13:29Z","title":"Gait Recognition with Mask-based Regularization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.04038","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":"sha256:592ea29f3fa675601a32938ac73021b3421c236db2b134a114c4b56d11ed3a01","target":"record","created_at":"2026-07-05T04:03:05Z","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":"ac0f299b7af420eb3b69b4e8f1e86c161c6ac5c4fee23345948546af9c78e6ab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-08T12:13:29Z","title_canon_sha256":"8b8812c34412baa509afdaeb04e731829545893540960e186ddac9e2f28f0ca8"},"schema_version":"1.0","source":{"id":"2203.04038","kind":"arxiv","version":1}},"canonical_sha256":"9d40c85a5d1c46ec11e46bbdb3a38e3f55d9c1735fa12077f0a403b8b13f92e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d40c85a5d1c46ec11e46bbdb3a38e3f55d9c1735fa12077f0a403b8b13f92e3","first_computed_at":"2026-07-05T04:03:05.400375Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:03:05.400375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"luidtH5A4tlH7ZiqYKeJy8QrDu+gQbplZ1mc8vj/XIDXQXwJZgnFnzxB3NWPG1ZPelTOEEClAIlroo8muNkFAg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:03:05.400751Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.04038","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:592ea29f3fa675601a32938ac73021b3421c236db2b134a114c4b56d11ed3a01","sha256:727425b6a5faaa329fd8d6347f819fd4f60eb8a3ec99e0dfecc278d1e9493352"],"state_sha256":"d505034f67df5ad7b7c35a9346da48341262cecf61aef91abf061bc3f46ab55f"}