{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:52LGOVCD3E3YJZCV7J6HBM5TTC","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":"1a484875ec725b84319a7f56a54d98056727fb023af62150b078e12dd38483a9","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T08:27:27Z","title_canon_sha256":"efc8e68662e7f449fe9bcda4bf028d93be25885400030fb8e4a8e61f02186956"},"schema_version":"1.0","source":{"id":"2606.29952","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29952","created_at":"2026-06-30T02:17:42Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29952v1","created_at":"2026-06-30T02:17:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29952","created_at":"2026-06-30T02:17:42Z"},{"alias_kind":"pith_short_12","alias_value":"52LGOVCD3E3Y","created_at":"2026-06-30T02:17:42Z"},{"alias_kind":"pith_short_16","alias_value":"52LGOVCD3E3YJZCV","created_at":"2026-06-30T02:17:42Z"},{"alias_kind":"pith_short_8","alias_value":"52LGOVCD","created_at":"2026-06-30T02:17:42Z"}],"graph_snapshots":[{"event_id":"sha256:35de5e0b51d53374d822402a042badae861787421be9a7a5b54925a6945f05a5","target":"graph","created_at":"2026-06-30T02:17:42Z","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/2606.29952/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting out-of-distribution (OOD) data is crucial for reliable machine learning deployment. Among detection strategies, post-hoc methods are particularly attractive due to their efficiency, as they operate directly on pre-trained networks without requiring retraining. Within this paradigm, one promising direction exploits loss-landscape curvature to estimate model uncertainty; however, such methods incur substantial computational cost and rely on implicit assumptions about how landscape flatness differs between in-distribution (ID) and OOD data. In this work, we provide the first systematic ","authors_text":"Dongyeop Lee, Hyunji Jung, Namhoon Lee, Seonghwan Park","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T08:27:27Z","title":"Exploiting Local Flatness for Efficient Out-of-Distribution Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29952","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":"sha256:4f011f2e5f8cac40ca91c8dca5a868bd363491d7ac8f53d139521613168206c3","target":"record","created_at":"2026-06-30T02:17:42Z","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":"1a484875ec725b84319a7f56a54d98056727fb023af62150b078e12dd38483a9","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T08:27:27Z","title_canon_sha256":"efc8e68662e7f449fe9bcda4bf028d93be25885400030fb8e4a8e61f02186956"},"schema_version":"1.0","source":{"id":"2606.29952","kind":"arxiv","version":1}},"canonical_sha256":"ee96675443d93784e455fa7c70b3b398be5f215e0eae664b1574804f32098132","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee96675443d93784e455fa7c70b3b398be5f215e0eae664b1574804f32098132","first_computed_at":"2026-06-30T02:17:42.466109Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T02:17:42.466109Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zLaDnJrvs4R+496PPD0LG1yzHvR80Q4IhW+PAVvFkFK2xPQJJYfbJtrh2RNNtcgzNfNdzUWfYSKPVjTwB8WLAg==","signature_status":"signed_v1","signed_at":"2026-06-30T02:17:42.466663Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.29952","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f011f2e5f8cac40ca91c8dca5a868bd363491d7ac8f53d139521613168206c3","sha256:35de5e0b51d53374d822402a042badae861787421be9a7a5b54925a6945f05a5"],"state_sha256":"e1269371dd64d2a4871f4066c07ddb4b42c28919605186caa47b449e442c73f3"}