{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MYBOCUVPUHDETQZPKJLLIJGOWB","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":"c6815950733650d08e1d96db22f7159637cecf80982568906b0e932834e711b6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-02T17:09:48Z","title_canon_sha256":"c13b033b4e098f7f3e8094c39674c21e65c316b65fddb5a0dbab933931f26534"},"schema_version":"1.0","source":{"id":"2406.00806","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.00806","created_at":"2026-07-05T08:26:31Z"},{"alias_kind":"arxiv_version","alias_value":"2406.00806v1","created_at":"2026-07-05T08:26:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.00806","created_at":"2026-07-05T08:26:31Z"},{"alias_kind":"pith_short_12","alias_value":"MYBOCUVPUHDE","created_at":"2026-07-05T08:26:31Z"},{"alias_kind":"pith_short_16","alias_value":"MYBOCUVPUHDETQZP","created_at":"2026-07-05T08:26:31Z"},{"alias_kind":"pith_short_8","alias_value":"MYBOCUVP","created_at":"2026-07-05T08:26:31Z"}],"graph_snapshots":[{"event_id":"sha256:1829d1923902a51c6ae304b3b493e41263a94ef31c6ce5b3ffa68fec2dacad68","target":"graph","created_at":"2026-07-05T08:26:31Z","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/2406.00806/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting out-of-distribution (OOD) samples is essential when deploying machine learning models in open-world scenarios. Zero-shot OOD detection, requiring no training on in-distribution (ID) data, has been possible with the advent of vision-language models like CLIP. Existing methods build a text-based classifier with only closed-set labels. However, this largely restricts the inherent capability of CLIP to recognize samples from large and open label space. In this paper, we propose to tackle this constraint by leveraging the expert knowledge and reasoning capability of large language models ","authors_text":"Bo Han, Chentao Cao, Tongliang Liu, Yang Liu, Zhanke Zhou, Zhun Zhong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-02T17:09:48Z","title":"Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.00806","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":"sha256:3b7d0aab469c6e1dada189603683763d8de3498d55c48990a851ed617ed3513d","target":"record","created_at":"2026-07-05T08:26:31Z","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":"c6815950733650d08e1d96db22f7159637cecf80982568906b0e932834e711b6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-02T17:09:48Z","title_canon_sha256":"c13b033b4e098f7f3e8094c39674c21e65c316b65fddb5a0dbab933931f26534"},"schema_version":"1.0","source":{"id":"2406.00806","kind":"arxiv","version":1}},"canonical_sha256":"6602e152afa1c649c32f5256b424ceb07821edd1332546bd06062c6d7e4288ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6602e152afa1c649c32f5256b424ceb07821edd1332546bd06062c6d7e4288ca","first_computed_at":"2026-07-05T08:26:31.332057Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:26:31.332057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/GPfhyrEwOHJ1tgB5vVrXo8E+EUPNYM3Rjst0fM8uztbhIHjZuL/51cIa2mqKChjST/82zGEMqghcf8cMZJ6AA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:26:31.332533Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.00806","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3b7d0aab469c6e1dada189603683763d8de3498d55c48990a851ed617ed3513d","sha256:1829d1923902a51c6ae304b3b493e41263a94ef31c6ce5b3ffa68fec2dacad68"],"state_sha256":"d347c18c9b63f4ee2744783f3bb8310e9aebc565678f847da7843c5d4d288ff4"}