{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AMZMB3GBDRGDGCP3XO6V6L5NHE","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":"20b41bb08344b4ac432e75cdc13d423a1d361317b207e457259c4db6f1e2538a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-01T18:59:22Z","title_canon_sha256":"ec87456fa9287390018b9dd6f7097a5a626e94669a0f1da531207382481f247b"},"schema_version":"1.0","source":{"id":"2402.00865","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.00865","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"arxiv_version","alias_value":"2402.00865v1","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.00865","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"pith_short_12","alias_value":"AMZMB3GBDRGD","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"pith_short_16","alias_value":"AMZMB3GBDRGDGCP3","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"pith_short_8","alias_value":"AMZMB3GB","created_at":"2026-07-05T07:40:18Z"}],"graph_snapshots":[{"event_id":"sha256:75f85362a37d6f60da3d02f215d48b53e18a171b026cbf115b9b5dfca45b5afd","target":"graph","created_at":"2026-07-05T07:40:18Z","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/2402.00865/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Feature shaping refers to a family of methods that exhibit state-of-the-art performance for out-of-distribution (OOD) detection. These approaches manipulate the feature representation, typically from the penultimate layer of a pre-trained deep learning model, so as to better differentiate between in-distribution (ID) and OOD samples. However, existing feature-shaping methods usually employ rules manually designed for specific model architectures and OOD datasets, which consequently limit their generalization ability. To address this gap, we first formulate an abstract optimization framework fo","authors_text":"Akshay Asthana, Kartik Gupta, Liang Zheng, Ming Xu, Qinyu Zhao, Stephen Gould","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-01T18:59:22Z","title":"Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.00865","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":"sha256:12d751caee404064bdab6d9b7840706ef556a308000d677dfda4cf38ca1d8f2b","target":"record","created_at":"2026-07-05T07:40:18Z","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":"20b41bb08344b4ac432e75cdc13d423a1d361317b207e457259c4db6f1e2538a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-01T18:59:22Z","title_canon_sha256":"ec87456fa9287390018b9dd6f7097a5a626e94669a0f1da531207382481f247b"},"schema_version":"1.0","source":{"id":"2402.00865","kind":"arxiv","version":1}},"canonical_sha256":"0332c0ecc11c4c3309fbbbbd5f2fad3923376f61c3394dc4d64757f2045aa91e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0332c0ecc11c4c3309fbbbbd5f2fad3923376f61c3394dc4d64757f2045aa91e","first_computed_at":"2026-07-05T07:40:18.483499Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:40:18.483499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nk96M0mUcZxBn/sZ+wSTWZtEODWeKUisqjmU54PsavxrUfDfGh0WdxpKWorykgmMahDt7Oe7a9GIPDBh2dHsBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:40:18.483993Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.00865","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12d751caee404064bdab6d9b7840706ef556a308000d677dfda4cf38ca1d8f2b","sha256:75f85362a37d6f60da3d02f215d48b53e18a171b026cbf115b9b5dfca45b5afd"],"state_sha256":"21ffac4ed28ca885b77648c06096dd34f6e78d8adeda67f810927b86ee71b125"}