{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5XNMLVLOQBAHCUY5KBEVQ2XFMZ","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":"ff8d0dc10f083e4869123a0fcd104b14f1eb0cd6520aa2c82f08298b88d5d773","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-28T06:37:59Z","title_canon_sha256":"73824c8dd727ce39f3a1a554d83b171e04f82dc062c61b831318716a13aafb52"},"schema_version":"1.0","source":{"id":"2408.15566","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.15566","created_at":"2026-07-05T09:00:13Z"},{"alias_kind":"arxiv_version","alias_value":"2408.15566v1","created_at":"2026-07-05T09:00:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.15566","created_at":"2026-07-05T09:00:13Z"},{"alias_kind":"pith_short_12","alias_value":"5XNMLVLOQBAH","created_at":"2026-07-05T09:00:13Z"},{"alias_kind":"pith_short_16","alias_value":"5XNMLVLOQBAHCUY5","created_at":"2026-07-05T09:00:13Z"},{"alias_kind":"pith_short_8","alias_value":"5XNMLVLO","created_at":"2026-07-05T09:00:13Z"}],"graph_snapshots":[{"event_id":"sha256:1e6a1806d7c33d29ec465344bb691f9552d70de46d1625e8d4a35c7cc5e3b453","target":"graph","created_at":"2026-07-05T09:00:13Z","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/2408.15566/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal fusion, leveraging data like vision and language, is rapidly gaining traction. This enriched data representation improves performance across various tasks. Existing methods for out-of-distribution (OOD) detection, a critical area where AI models encounter unseen data in real-world scenarios, rely heavily on whole-image features. These image-level features can include irrelevant information that hinders the detection of OOD samples, ultimately limiting overall performance. In this paper, we propose \\textbf{TagOOD}, a novel approach for OOD detection that leverages vision-language rep","authors_text":"Jinglun Li, Kaixun Jiang, Lingyi Hong, Pinxue Guo, Weifeng Ge, Wenqiang Zhang, Xinyu Zhou, Zhaoyu Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-28T06:37:59Z","title":"TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.15566","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:ce46e022852a367b4f2a2721995d1d2c30f711cb83f2c8a5d499b0e54287df3b","target":"record","created_at":"2026-07-05T09:00:13Z","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":"ff8d0dc10f083e4869123a0fcd104b14f1eb0cd6520aa2c82f08298b88d5d773","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-28T06:37:59Z","title_canon_sha256":"73824c8dd727ce39f3a1a554d83b171e04f82dc062c61b831318716a13aafb52"},"schema_version":"1.0","source":{"id":"2408.15566","kind":"arxiv","version":1}},"canonical_sha256":"eddac5d56e804071531d5049586ae5664fe57a9078efd2547ccfb312f7be4156","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eddac5d56e804071531d5049586ae5664fe57a9078efd2547ccfb312f7be4156","first_computed_at":"2026-07-05T09:00:13.871627Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:00:13.871627Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Qt1nEP5IYzUL3TwxaoK5/C0nH895odDKsIw2H9/4NEJraaKLsjjxrJ6Gsj7rGnZ95FRsRqd7LraZTxcKmE8uDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:00:13.872813Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.15566","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce46e022852a367b4f2a2721995d1d2c30f711cb83f2c8a5d499b0e54287df3b","sha256:1e6a1806d7c33d29ec465344bb691f9552d70de46d1625e8d4a35c7cc5e3b453"],"state_sha256":"03ff26a938f3b87f2b88374c489ed0e5a776e191f32b3aff690f9536079848d1"}