{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SC4U6HDNZSIOIKKHRFXUTHFDWQ","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":"cf2ed75a84fc25bd782c6b9a07f9affbe07cafb5fb68bbba71e1d09b9545f369","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-24T08:10:53Z","title_canon_sha256":"2a26af78729c040a597bc0f509e9fc36b2f897cd69e1b3e33b89070fe3b1d3a5"},"schema_version":"1.0","source":{"id":"2607.22068","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.22068","created_at":"2026-07-27T01:20:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.22068v1","created_at":"2026-07-27T01:20:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22068","created_at":"2026-07-27T01:20:46Z"},{"alias_kind":"pith_short_12","alias_value":"SC4U6HDNZSIO","created_at":"2026-07-27T01:20:46Z"},{"alias_kind":"pith_short_16","alias_value":"SC4U6HDNZSIOIKKH","created_at":"2026-07-27T01:20:46Z"},{"alias_kind":"pith_short_8","alias_value":"SC4U6HDN","created_at":"2026-07-27T01:20:46Z"}],"graph_snapshots":[{"event_id":"sha256:de7dc63f20dc591811264edef8b59ec93f64b341124d668266d7455be08bab28","target":"graph","created_at":"2026-07-27T01:20:46Z","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/2607.22068/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-branch architectures and CNN-Transformer fusion have long been regarded as effective ways to improve vehicle re-identification (Re-ID) by combining complementary representations. In this work, we revisit this assumption in the foundation-model era through a comprehensive empirical study. A single DINOv3-pretrained ConvNeXt trained with a tuned recipe achieves 88.19 mAP on VeRi-Wild Small and 77.47 mAP on VeRi-Wild Large using visual cues alone, matching the strongest protocol-verified metadata-dependent multi-branch baseline. Applying training-free re-ranking further improves performance","authors_text":"Hongyu Yang, Yu Wang","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-24T08:10:53Z","title":"Rethinking Multi-Branch and Cross-Backbone Fusion for Vehicle Re-Identification in the Foundation-Model Era"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22068","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":"sha256:64ff4ec160af5720ac28211a7e8a103736ae9cb2b3743c148caaf13a61b71896","target":"record","created_at":"2026-07-27T01:20:46Z","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":"cf2ed75a84fc25bd782c6b9a07f9affbe07cafb5fb68bbba71e1d09b9545f369","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-24T08:10:53Z","title_canon_sha256":"2a26af78729c040a597bc0f509e9fc36b2f897cd69e1b3e33b89070fe3b1d3a5"},"schema_version":"1.0","source":{"id":"2607.22068","kind":"arxiv","version":1}},"canonical_sha256":"90b94f1c6dcc90e42947896f499ca3b43a122dea3da412ffd27f746f5ef6faca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90b94f1c6dcc90e42947896f499ca3b43a122dea3da412ffd27f746f5ef6faca","first_computed_at":"2026-07-27T01:20:46.263358Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-27T01:20:46.263358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Rx5MbeWaxxqcc8GlZaMyqRH/s/a1P6ENPkK0Egr4HwJEDUzpTCwSvimBmAC2ln9DDhVD2DglTb2ccvaOjxF2DA==","signature_status":"signed_v1","signed_at":"2026-07-27T01:20:46.264236Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.22068","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:64ff4ec160af5720ac28211a7e8a103736ae9cb2b3743c148caaf13a61b71896","sha256:de7dc63f20dc591811264edef8b59ec93f64b341124d668266d7455be08bab28"],"state_sha256":"ab737d0775e484937c417bf14b8ff620299e15b319fbfa5044b22ef73c6b699e"}