{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:B4LFQHGDBYPXXNGGXBO4U5QC72","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":"a711aa286b7d7c4749a6d0e5d1a5bedfa62b7c0cd8dc2b34a0419d369f13b005","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-21T03:17:25Z","title_canon_sha256":"afaa7b49f4f7e2a9bccd373ea5911f8944cc1da6be9ee573af0671e4c1048113"},"schema_version":"1.0","source":{"id":"2410.15613","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.15613","created_at":"2026-07-05T09:24:39Z"},{"alias_kind":"arxiv_version","alias_value":"2410.15613v2","created_at":"2026-07-05T09:24:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.15613","created_at":"2026-07-05T09:24:39Z"},{"alias_kind":"pith_short_12","alias_value":"B4LFQHGDBYPX","created_at":"2026-07-05T09:24:39Z"},{"alias_kind":"pith_short_16","alias_value":"B4LFQHGDBYPXXNGG","created_at":"2026-07-05T09:24:39Z"},{"alias_kind":"pith_short_8","alias_value":"B4LFQHGD","created_at":"2026-07-05T09:24:39Z"}],"graph_snapshots":[{"event_id":"sha256:cc44c448559bcfdf63a9d07c8cc6ca854225cf39d2ef11674514d0e3018996d3","target":"graph","created_at":"2026-07-05T09:24:39Z","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/2410.15613/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to some complex factors (e.g., occlusion, pose variation and diverse camera perspectives), extracting stronger feature representation in person re-identification remains a challenging task. In this paper, we proposed a novel self-supervision and supervision combining transformer-based person re-identification framework, namely SSSC-TransReID. Different from the general transformer-based person re-identification models, we designed a self-supervised contrastive learning branch, which can enhance the feature representation for person re-identification without negative samples or additional p","authors_text":"Donglin Cheng, Kai Feng, Zhangjian Ji","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-21T03:17:25Z","title":"Exploring Stronger Transformer Representation Learning for Occluded Person Re-Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.15613","kind":"arxiv","version":2},"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":"sha256:231c58421abddce221a08a13408e617129a98ae0cd3b9eb1bc17d4c6fe0e3cc6","target":"record","created_at":"2026-07-05T09:24:39Z","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":"a711aa286b7d7c4749a6d0e5d1a5bedfa62b7c0cd8dc2b34a0419d369f13b005","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-21T03:17:25Z","title_canon_sha256":"afaa7b49f4f7e2a9bccd373ea5911f8944cc1da6be9ee573af0671e4c1048113"},"schema_version":"1.0","source":{"id":"2410.15613","kind":"arxiv","version":2}},"canonical_sha256":"0f16581cc30e1f7bb4c6b85dca7602feac471e9d25db8dc1c53615d293487be9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f16581cc30e1f7bb4c6b85dca7602feac471e9d25db8dc1c53615d293487be9","first_computed_at":"2026-07-05T09:24:39.799656Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:24:39.799656Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d3zr+DeaV8pFkNPMbxHKQ2DX6sFjCMwX6tsMsTzzQSHSd2l+EkxkBOrjJ/yG9dlG8W7y+/IwAarhw8sQkkFNDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:24:39.800135Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.15613","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:231c58421abddce221a08a13408e617129a98ae0cd3b9eb1bc17d4c6fe0e3cc6","sha256:cc44c448559bcfdf63a9d07c8cc6ca854225cf39d2ef11674514d0e3018996d3"],"state_sha256":"fd853c6e6601d318671c51392433471200708dafca4a9b411d682a71f52f1d9a"}