{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YI3F63DRGPPIVL7DMRFDYBBICZ","short_pith_number":"pith:YI3F63DR","canonical_record":{"source":{"id":"2605.17795","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-18T03:19:45Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"192f82556bb93515f4154e6330fbe88f7512a06bb7d7642018988b33240fc945","abstract_canon_sha256":"5f5abf0ae47a787bbc15898d0d075fb86d44247d28fee8bd640cb931aa796a5a"},"schema_version":"1.0"},"canonical_sha256":"c2365f6c7133de8aafe3644a3c0428167c8e6687f24f2b3cc6df27cef8830702","source":{"kind":"arxiv","id":"2605.17795","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17795","created_at":"2026-05-20T00:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17795v1","created_at":"2026-05-20T00:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17795","created_at":"2026-05-20T00:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"YI3F63DRGPPI","created_at":"2026-05-20T00:04:58Z"},{"alias_kind":"pith_short_16","alias_value":"YI3F63DRGPPIVL7D","created_at":"2026-05-20T00:04:58Z"},{"alias_kind":"pith_short_8","alias_value":"YI3F63DR","created_at":"2026-05-20T00:04:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YI3F63DRGPPIVL7DMRFDYBBICZ","target":"record","payload":{"canonical_record":{"source":{"id":"2605.17795","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-18T03:19:45Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"192f82556bb93515f4154e6330fbe88f7512a06bb7d7642018988b33240fc945","abstract_canon_sha256":"5f5abf0ae47a787bbc15898d0d075fb86d44247d28fee8bd640cb931aa796a5a"},"schema_version":"1.0"},"canonical_sha256":"c2365f6c7133de8aafe3644a3c0428167c8e6687f24f2b3cc6df27cef8830702","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:04:58.711970Z","signature_b64":"5/eOgmu/Z02Q/pqLi4l7E6Tg94QvLn5P0Fom1g4dCvD5EypsUOY9qMjh/6pOLxQewnshz9vLtlRqMgrQmzTdCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2365f6c7133de8aafe3644a3c0428167c8e6687f24f2b3cc6df27cef8830702","last_reissued_at":"2026-05-20T00:04:58.711044Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:04:58.711044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.17795","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:04:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FJx1WyHHhW1Or44NfM+lNmgQYQukt5ED8TgcEaPS+W9hmYrixJFPQLUtsfGwriBidbXVnlSR+Vh/D6f4akW/Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T07:52:35.585298Z"},"content_sha256":"d77d77a7d47899c954c6e13a5e27035def7a3c160fed1950b8741f85c68e79d9","schema_version":"1.0","event_id":"sha256:d77d77a7d47899c954c6e13a5e27035def7a3c160fed1950b8741f85c68e79d9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YI3F63DRGPPIVL7DMRFDYBBICZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"When Accuracy Is Not Enough: Uncertainty Collapse between Noisy Label Learning and Out-of-Distribution Detection","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Jingyang Mao, Ningkang Peng, Peirong Ma, Runhan Zhou, Yanhui Gu","submitted_at":"2026-05-18T03:19:45Z","abstract_excerpt":"Learning with noisy labels (LNL) is typically benchmarked by closed-set classification accuracy, yet deployment often requires classifiers to reject out-of-distribution (OOD) inputs. We present a learner-agnostic ACC-OOD benchmark that freezes LNL checkpoints and evaluates them with standardized near-/far-OOD routing and post-hoc scores across synthetic and real label noise. The benchmark reveals a recurring failure mode: high closed-set accuracy does not ensure OOD reliability, because low-confidence, misclassified in-distribution samples can overlap the score and feature regions occupied by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17795","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.17795/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:04:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/p1OY3pwpLb5PBvWfaQ+QTEcNKnxCx/YqHExltgYl7WdmfRf40qp/kYLxxR8UZrGq9BiNZNjfd/JmYjo4n5ZBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T07:52:35.585708Z"},"content_sha256":"771b419462961e27f49ba74f32566f430e50be7ba26e11dbc7cb77068ee55d7d","schema_version":"1.0","event_id":"sha256:771b419462961e27f49ba74f32566f430e50be7ba26e11dbc7cb77068ee55d7d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YI3F63DRGPPIVL7DMRFDYBBICZ/bundle.json","state_url":"https://pith.science/pith/YI3F63DRGPPIVL7DMRFDYBBICZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YI3F63DRGPPIVL7DMRFDYBBICZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-21T07:52:35Z","links":{"resolver":"https://pith.science/pith/YI3F63DRGPPIVL7DMRFDYBBICZ","bundle":"https://pith.science/pith/YI3F63DRGPPIVL7DMRFDYBBICZ/bundle.json","state":"https://pith.science/pith/YI3F63DRGPPIVL7DMRFDYBBICZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YI3F63DRGPPIVL7DMRFDYBBICZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YI3F63DRGPPIVL7DMRFDYBBICZ","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":"5f5abf0ae47a787bbc15898d0d075fb86d44247d28fee8bd640cb931aa796a5a","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-18T03:19:45Z","title_canon_sha256":"192f82556bb93515f4154e6330fbe88f7512a06bb7d7642018988b33240fc945"},"schema_version":"1.0","source":{"id":"2605.17795","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17795","created_at":"2026-05-20T00:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17795v1","created_at":"2026-05-20T00:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17795","created_at":"2026-05-20T00:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"YI3F63DRGPPI","created_at":"2026-05-20T00:04:58Z"},{"alias_kind":"pith_short_16","alias_value":"YI3F63DRGPPIVL7D","created_at":"2026-05-20T00:04:58Z"},{"alias_kind":"pith_short_8","alias_value":"YI3F63DR","created_at":"2026-05-20T00:04:58Z"}],"graph_snapshots":[{"event_id":"sha256:771b419462961e27f49ba74f32566f430e50be7ba26e11dbc7cb77068ee55d7d","target":"graph","created_at":"2026-05-20T00:04:58Z","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/2605.17795/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning with noisy labels (LNL) is typically benchmarked by closed-set classification accuracy, yet deployment often requires classifiers to reject out-of-distribution (OOD) inputs. We present a learner-agnostic ACC-OOD benchmark that freezes LNL checkpoints and evaluates them with standardized near-/far-OOD routing and post-hoc scores across synthetic and real label noise. The benchmark reveals a recurring failure mode: high closed-set accuracy does not ensure OOD reliability, because low-confidence, misclassified in-distribution samples can overlap the score and feature regions occupied by ","authors_text":"Jingyang Mao, Ningkang Peng, Peirong Ma, Runhan Zhou, Yanhui Gu","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-18T03:19:45Z","title":"When Accuracy Is Not Enough: Uncertainty Collapse between Noisy Label Learning and Out-of-Distribution Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17795","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:d77d77a7d47899c954c6e13a5e27035def7a3c160fed1950b8741f85c68e79d9","target":"record","created_at":"2026-05-20T00:04:58Z","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":"5f5abf0ae47a787bbc15898d0d075fb86d44247d28fee8bd640cb931aa796a5a","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-18T03:19:45Z","title_canon_sha256":"192f82556bb93515f4154e6330fbe88f7512a06bb7d7642018988b33240fc945"},"schema_version":"1.0","source":{"id":"2605.17795","kind":"arxiv","version":1}},"canonical_sha256":"c2365f6c7133de8aafe3644a3c0428167c8e6687f24f2b3cc6df27cef8830702","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2365f6c7133de8aafe3644a3c0428167c8e6687f24f2b3cc6df27cef8830702","first_computed_at":"2026-05-20T00:04:58.711044Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:04:58.711044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5/eOgmu/Z02Q/pqLi4l7E6Tg94QvLn5P0Fom1g4dCvD5EypsUOY9qMjh/6pOLxQewnshz9vLtlRqMgrQmzTdCA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:04:58.711970Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17795","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d77d77a7d47899c954c6e13a5e27035def7a3c160fed1950b8741f85c68e79d9","sha256:771b419462961e27f49ba74f32566f430e50be7ba26e11dbc7cb77068ee55d7d"],"state_sha256":"36d88cc890afeb4a24b801552323eb039301100ec5efd021e1cd54cc7cf9f1c6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ULMHjuZ0ykuGGDn6Daf+oeqAb+RVSCy44d7pUc0eLt4xhH5dnodtM3I1sN8Xl62m0rp3K1cNRQIwbWjki1LYCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-21T07:52:35.587854Z","bundle_sha256":"2eabe1216a13d30dc4ee31968f24d1b6ac8144e5f497dc7f577c064e8ae889e1"}}