{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZL2RFNN6CKOJ2IMLCUHK4FDUTT","short_pith_number":"pith:ZL2RFNN6","canonical_record":{"source":{"id":"2502.06995","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-02-10T19:42:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1524d391c6c00bc0358658f10e486dfcf7f4e7f20f9fdd5ad55e7a8c9d8f2ddc","abstract_canon_sha256":"f3958c86f31a7c9aefd71c8f77f783da9fcb6e9c670e55626c1647db137f9903"},"schema_version":"1.0"},"canonical_sha256":"caf512b5be129c9d218b150eae14749cdaac4430b619cf4083dfc938b022e011","source":{"kind":"arxiv","id":"2502.06995","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06995","created_at":"2026-07-05T11:19:03Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06995v2","created_at":"2026-07-05T11:19:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06995","created_at":"2026-07-05T11:19:03Z"},{"alias_kind":"pith_short_12","alias_value":"ZL2RFNN6CKOJ","created_at":"2026-07-05T11:19:03Z"},{"alias_kind":"pith_short_16","alias_value":"ZL2RFNN6CKOJ2IML","created_at":"2026-07-05T11:19:03Z"},{"alias_kind":"pith_short_8","alias_value":"ZL2RFNN6","created_at":"2026-07-05T11:19:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZL2RFNN6CKOJ2IMLCUHK4FDUTT","target":"record","payload":{"canonical_record":{"source":{"id":"2502.06995","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-02-10T19:42:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1524d391c6c00bc0358658f10e486dfcf7f4e7f20f9fdd5ad55e7a8c9d8f2ddc","abstract_canon_sha256":"f3958c86f31a7c9aefd71c8f77f783da9fcb6e9c670e55626c1647db137f9903"},"schema_version":"1.0"},"canonical_sha256":"caf512b5be129c9d218b150eae14749cdaac4430b619cf4083dfc938b022e011","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:03.535565Z","signature_b64":"mE+piOH9lPRIDi0/u2kLp+v+O9jLyFeULgUdDK/NbcpYp/Bfe7lVrnjmvMqsn0oyPvo+a4eaWPIbfDy9zW0zBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"caf512b5be129c9d218b150eae14749cdaac4430b619cf4083dfc938b022e011","last_reissued_at":"2026-07-05T11:19:03.535120Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:03.535120Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.06995","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:19:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xlNx69AAYJh1rbgWVY2OmI9vEgz0ShJIIhUcpQ0IT2ZBzGV01K78dbUOi8rBMLdED1EI5AoZ/d64t+1w1D9EDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:28:40.249993Z"},"content_sha256":"20bc9bf2fe162cbff54bbc3af5418adad45e2a8ceadecaec11070d80150de97a","schema_version":"1.0","event_id":"sha256:20bc9bf2fe162cbff54bbc3af5418adad45e2a8ceadecaec11070d80150de97a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZL2RFNN6CKOJ2IMLCUHK4FDUTT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Epistemic Uncertainty in Conformal Scores: A Unified Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Luben M. C. Cabezas, Rafael Izbicki, Thiago R. Ramos, Vagner S. Santos","submitted_at":"2025-02-10T19:42:54Z","abstract_excerpt":"Conformal prediction methods create prediction bands with distribution-free guarantees but do not explicitly capture epistemic uncertainty, which can lead to overconfident predictions in data-sparse regions. Although recent conformal scores have been developed to address this limitation, they are typically designed for specific tasks, such as regression or quantile regression. Moreover, they rely on particular modeling choices for epistemic uncertainty, restricting their applicability. We introduce $\\texttt{EPICSCORE}$, a model-agnostic approach that enhances any conformal score by explicitly "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06995","kind":"arxiv","version":2},"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/2502.06995/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":"2026-07-05T11:19:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5YmsEdf5lsdB+T8ji6Kv+zUEFBtExRPke7M4QmXuzC8fry2cvjOgfptglopF1TT2DonTduDcyMpuktcvNOtNDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:28:40.250751Z"},"content_sha256":"44ce361bd0f2f3266784bad9121304025c9c1e1e2f7be8c10121fb6c8f951731","schema_version":"1.0","event_id":"sha256:44ce361bd0f2f3266784bad9121304025c9c1e1e2f7be8c10121fb6c8f951731"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZL2RFNN6CKOJ2IMLCUHK4FDUTT/bundle.json","state_url":"https://pith.science/pith/ZL2RFNN6CKOJ2IMLCUHK4FDUTT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZL2RFNN6CKOJ2IMLCUHK4FDUTT/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":"2026-08-08T21:28:40Z","links":{"resolver":"https://pith.science/pith/ZL2RFNN6CKOJ2IMLCUHK4FDUTT","bundle":"https://pith.science/pith/ZL2RFNN6CKOJ2IMLCUHK4FDUTT/bundle.json","state":"https://pith.science/pith/ZL2RFNN6CKOJ2IMLCUHK4FDUTT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZL2RFNN6CKOJ2IMLCUHK4FDUTT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZL2RFNN6CKOJ2IMLCUHK4FDUTT","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":"f3958c86f31a7c9aefd71c8f77f783da9fcb6e9c670e55626c1647db137f9903","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-02-10T19:42:54Z","title_canon_sha256":"1524d391c6c00bc0358658f10e486dfcf7f4e7f20f9fdd5ad55e7a8c9d8f2ddc"},"schema_version":"1.0","source":{"id":"2502.06995","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06995","created_at":"2026-07-05T11:19:03Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06995v2","created_at":"2026-07-05T11:19:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06995","created_at":"2026-07-05T11:19:03Z"},{"alias_kind":"pith_short_12","alias_value":"ZL2RFNN6CKOJ","created_at":"2026-07-05T11:19:03Z"},{"alias_kind":"pith_short_16","alias_value":"ZL2RFNN6CKOJ2IML","created_at":"2026-07-05T11:19:03Z"},{"alias_kind":"pith_short_8","alias_value":"ZL2RFNN6","created_at":"2026-07-05T11:19:03Z"}],"graph_snapshots":[{"event_id":"sha256:44ce361bd0f2f3266784bad9121304025c9c1e1e2f7be8c10121fb6c8f951731","target":"graph","created_at":"2026-07-05T11:19:03Z","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/2502.06995/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conformal prediction methods create prediction bands with distribution-free guarantees but do not explicitly capture epistemic uncertainty, which can lead to overconfident predictions in data-sparse regions. Although recent conformal scores have been developed to address this limitation, they are typically designed for specific tasks, such as regression or quantile regression. Moreover, they rely on particular modeling choices for epistemic uncertainty, restricting their applicability. We introduce $\\texttt{EPICSCORE}$, a model-agnostic approach that enhances any conformal score by explicitly ","authors_text":"Luben M. C. Cabezas, Rafael Izbicki, Thiago R. Ramos, Vagner S. Santos","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-02-10T19:42:54Z","title":"Epistemic Uncertainty in Conformal Scores: A Unified Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06995","kind":"arxiv","version":2},"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":"sha256:20bc9bf2fe162cbff54bbc3af5418adad45e2a8ceadecaec11070d80150de97a","target":"record","created_at":"2026-07-05T11:19:03Z","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":"f3958c86f31a7c9aefd71c8f77f783da9fcb6e9c670e55626c1647db137f9903","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-02-10T19:42:54Z","title_canon_sha256":"1524d391c6c00bc0358658f10e486dfcf7f4e7f20f9fdd5ad55e7a8c9d8f2ddc"},"schema_version":"1.0","source":{"id":"2502.06995","kind":"arxiv","version":2}},"canonical_sha256":"caf512b5be129c9d218b150eae14749cdaac4430b619cf4083dfc938b022e011","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"caf512b5be129c9d218b150eae14749cdaac4430b619cf4083dfc938b022e011","first_computed_at":"2026-07-05T11:19:03.535120Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:03.535120Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mE+piOH9lPRIDi0/u2kLp+v+O9jLyFeULgUdDK/NbcpYp/Bfe7lVrnjmvMqsn0oyPvo+a4eaWPIbfDy9zW0zBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:03.535565Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.06995","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:20bc9bf2fe162cbff54bbc3af5418adad45e2a8ceadecaec11070d80150de97a","sha256:44ce361bd0f2f3266784bad9121304025c9c1e1e2f7be8c10121fb6c8f951731"],"state_sha256":"02e91d13b5fd2d7e6d914e671272731b9879f2784b99949008eb45b85f3885c2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/fM6/KDVgHALwTWf/0i5qMIWe4/TlnwSo9ZwJho9bk/dSfRiMZcETLSIxzK+r84bNZq/79CgY6R4+wYPIAgJBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T21:28:40.256112Z","bundle_sha256":"e4e41af7fe581adff742a843c799fb702696e12de25b48da5d944454bb7f6963"}}