{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:IQXZYQE7WCK2T64EWBT5I6HYGF","short_pith_number":"pith:IQXZYQE7","canonical_record":{"source":{"id":"2303.02970","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-06T08:54:18Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5422f32b62da58f4c49d8b0b7f9dfde6ca93911d41862d0801aa49c29bcccb08","abstract_canon_sha256":"5544452953bae3308b643a9dfd4f06727b16dfaa417d1e86710890f76d48c7d2"},"schema_version":"1.0"},"canonical_sha256":"442f9c409fb095a9fb84b067d478f83151c835afc36d5e19aa1618b9748e52ad","source":{"kind":"arxiv","id":"2303.02970","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.02970","created_at":"2026-07-05T05:48:17Z"},{"alias_kind":"arxiv_version","alias_value":"2303.02970v1","created_at":"2026-07-05T05:48:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.02970","created_at":"2026-07-05T05:48:17Z"},{"alias_kind":"pith_short_12","alias_value":"IQXZYQE7WCK2","created_at":"2026-07-05T05:48:17Z"},{"alias_kind":"pith_short_16","alias_value":"IQXZYQE7WCK2T64E","created_at":"2026-07-05T05:48:17Z"},{"alias_kind":"pith_short_8","alias_value":"IQXZYQE7","created_at":"2026-07-05T05:48:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:IQXZYQE7WCK2T64EWBT5I6HYGF","target":"record","payload":{"canonical_record":{"source":{"id":"2303.02970","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-06T08:54:18Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5422f32b62da58f4c49d8b0b7f9dfde6ca93911d41862d0801aa49c29bcccb08","abstract_canon_sha256":"5544452953bae3308b643a9dfd4f06727b16dfaa417d1e86710890f76d48c7d2"},"schema_version":"1.0"},"canonical_sha256":"442f9c409fb095a9fb84b067d478f83151c835afc36d5e19aa1618b9748e52ad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:48:17.715572Z","signature_b64":"Em7mA0o+CKXNg5DEg8/Q53LnGjA4uO2FOOvBzmeAvMiBCUQ4ES+mMd1sRqBkAe+F69DcJy01UR6tt4kQOdoeBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"442f9c409fb095a9fb84b067d478f83151c835afc36d5e19aa1618b9748e52ad","last_reissued_at":"2026-07-05T05:48:17.715168Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:48:17.715168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.02970","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":"2026-07-05T05:48:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Br4H32O3kuU5Ms8bfAOyVEMMHmypd4DSEUIYdcCMXUQgUK0ZMdvdHWW/7mzYGbAVmtMFuTLCIjtJSU26KmAwCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:59:50.181925Z"},"content_sha256":"2a849a728ac6f719b5ef8db5aa475b1bd2ed23ac422c2908418bf4269f87d871","schema_version":"1.0","event_id":"sha256:2a849a728ac6f719b5ef8db5aa475b1bd2ed23ac422c2908418bf4269f87d871"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:IQXZYQE7WCK2T64EWBT5I6HYGF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking Confidence Calibration for Failure Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Cheng-Lin Liu, Fei Zhu, Xu-Yao Zhang, Zhen Cheng","submitted_at":"2023-03-06T08:54:18Z","abstract_excerpt":"Reliable confidence estimation for the predictions is important in many safety-critical applications. However, modern deep neural networks are often overconfident for their incorrect predictions. Recently, many calibration methods have been proposed to alleviate the overconfidence problem. With calibrated confidence, a primary and practical purpose is to detect misclassification errors by filtering out low-confidence predictions (known as failure prediction). In this paper, we find a general, widely-existed but actually-neglected phenomenon that most confidence calibration methods are useless "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.02970","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/2303.02970/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":"2026-07-05T05:48:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C0dIj87oONg7PJc0dqq5KuEhHIciHFVqQD35DeNKB4o2VO7cekX3/C1Qavn3CFr8cFScPhWRmlNwPtiRv0zMDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:59:50.182530Z"},"content_sha256":"5ded8ba38c046367cbdc87800451c9be4f7ca1685e345abfbd32abfb0365c343","schema_version":"1.0","event_id":"sha256:5ded8ba38c046367cbdc87800451c9be4f7ca1685e345abfbd32abfb0365c343"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IQXZYQE7WCK2T64EWBT5I6HYGF/bundle.json","state_url":"https://pith.science/pith/IQXZYQE7WCK2T64EWBT5I6HYGF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IQXZYQE7WCK2T64EWBT5I6HYGF/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":"2026-08-10T04:59:50Z","links":{"resolver":"https://pith.science/pith/IQXZYQE7WCK2T64EWBT5I6HYGF","bundle":"https://pith.science/pith/IQXZYQE7WCK2T64EWBT5I6HYGF/bundle.json","state":"https://pith.science/pith/IQXZYQE7WCK2T64EWBT5I6HYGF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IQXZYQE7WCK2T64EWBT5I6HYGF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IQXZYQE7WCK2T64EWBT5I6HYGF","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":"5544452953bae3308b643a9dfd4f06727b16dfaa417d1e86710890f76d48c7d2","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-06T08:54:18Z","title_canon_sha256":"5422f32b62da58f4c49d8b0b7f9dfde6ca93911d41862d0801aa49c29bcccb08"},"schema_version":"1.0","source":{"id":"2303.02970","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.02970","created_at":"2026-07-05T05:48:17Z"},{"alias_kind":"arxiv_version","alias_value":"2303.02970v1","created_at":"2026-07-05T05:48:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.02970","created_at":"2026-07-05T05:48:17Z"},{"alias_kind":"pith_short_12","alias_value":"IQXZYQE7WCK2","created_at":"2026-07-05T05:48:17Z"},{"alias_kind":"pith_short_16","alias_value":"IQXZYQE7WCK2T64E","created_at":"2026-07-05T05:48:17Z"},{"alias_kind":"pith_short_8","alias_value":"IQXZYQE7","created_at":"2026-07-05T05:48:17Z"}],"graph_snapshots":[{"event_id":"sha256:5ded8ba38c046367cbdc87800451c9be4f7ca1685e345abfbd32abfb0365c343","target":"graph","created_at":"2026-07-05T05:48:17Z","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/2303.02970/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reliable confidence estimation for the predictions is important in many safety-critical applications. However, modern deep neural networks are often overconfident for their incorrect predictions. Recently, many calibration methods have been proposed to alleviate the overconfidence problem. With calibrated confidence, a primary and practical purpose is to detect misclassification errors by filtering out low-confidence predictions (known as failure prediction). In this paper, we find a general, widely-existed but actually-neglected phenomenon that most confidence calibration methods are useless ","authors_text":"Cheng-Lin Liu, Fei Zhu, Xu-Yao Zhang, Zhen Cheng","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-06T08:54:18Z","title":"Rethinking Confidence Calibration for Failure Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.02970","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":"sha256:2a849a728ac6f719b5ef8db5aa475b1bd2ed23ac422c2908418bf4269f87d871","target":"record","created_at":"2026-07-05T05:48:17Z","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":"5544452953bae3308b643a9dfd4f06727b16dfaa417d1e86710890f76d48c7d2","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-06T08:54:18Z","title_canon_sha256":"5422f32b62da58f4c49d8b0b7f9dfde6ca93911d41862d0801aa49c29bcccb08"},"schema_version":"1.0","source":{"id":"2303.02970","kind":"arxiv","version":1}},"canonical_sha256":"442f9c409fb095a9fb84b067d478f83151c835afc36d5e19aa1618b9748e52ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"442f9c409fb095a9fb84b067d478f83151c835afc36d5e19aa1618b9748e52ad","first_computed_at":"2026-07-05T05:48:17.715168Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:48:17.715168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Em7mA0o+CKXNg5DEg8/Q53LnGjA4uO2FOOvBzmeAvMiBCUQ4ES+mMd1sRqBkAe+F69DcJy01UR6tt4kQOdoeBg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:48:17.715572Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.02970","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a849a728ac6f719b5ef8db5aa475b1bd2ed23ac422c2908418bf4269f87d871","sha256:5ded8ba38c046367cbdc87800451c9be4f7ca1685e345abfbd32abfb0365c343"],"state_sha256":"179e34337a543313b5bb0a20722a7a2c93120d7d163a32d7e490d2b7519d45a8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cf4bzXeODC/3ny5Bw3PCkMQ3wPp3vEFXBfohZn/clBuxhW4NOxnCAPfOiMsbALnubSbmZFXhngavITQyn11xBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T04:59:50.188598Z","bundle_sha256":"78eaf1e97c80fa7d4f0a4be8f8b0640feb9e1f750a7d5185ee2086ac51440670"}}