{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VDWK7CNSGBTVJXUYO7IAJY6VIF","short_pith_number":"pith:VDWK7CNS","canonical_record":{"source":{"id":"2502.17264","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-24T15:46:18Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"439665b3aefd446d473412b82569fc653c01ad026ff0e9195306d0ede563f5bf","abstract_canon_sha256":"f8416bd48a5d62683c20fb0a7344c5467003102087237bfd04bc90b0fb49fd49"},"schema_version":"1.0"},"canonical_sha256":"a8ecaf89b2306754de9877d004e3d5414bfcb754903bb850ca56f063e88fda1b","source":{"kind":"arxiv","id":"2502.17264","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.17264","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"arxiv_version","alias_value":"2502.17264v2","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17264","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_12","alias_value":"VDWK7CNSGBTV","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_16","alias_value":"VDWK7CNSGBTVJXUY","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_8","alias_value":"VDWK7CNS","created_at":"2026-07-05T11:46:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VDWK7CNSGBTVJXUYO7IAJY6VIF","target":"record","payload":{"canonical_record":{"source":{"id":"2502.17264","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-24T15:46:18Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"439665b3aefd446d473412b82569fc653c01ad026ff0e9195306d0ede563f5bf","abstract_canon_sha256":"f8416bd48a5d62683c20fb0a7344c5467003102087237bfd04bc90b0fb49fd49"},"schema_version":"1.0"},"canonical_sha256":"a8ecaf89b2306754de9877d004e3d5414bfcb754903bb850ca56f063e88fda1b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:21.116842Z","signature_b64":"grVZ1z64hfUUmR3ABQWXi8V4iTl5Xan4QrfhiDObMAWN2ehdHd92hEZmi9PwIXzgS1/F/hv+bkANKine0n2qAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a8ecaf89b2306754de9877d004e3d5414bfcb754903bb850ca56f063e88fda1b","last_reissued_at":"2026-07-05T11:46:21.116297Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:21.116297Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.17264","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":"2026-07-05T11:46:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UnjjpMeRW0VcAGB6EzGvvvfxnCig92oRuyDtuALVZiPlfapX8ffshJ15KULUYCBn0zRrU0ig7RRa1LD3AWQrDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T15:00:12.546230Z"},"content_sha256":"6537047d6d23f22c06ea39e18aa6bdd07d22e4972e13ff40e0af4ff76c046f82","schema_version":"1.0","event_id":"sha256:6537047d6d23f22c06ea39e18aa6bdd07d22e4972e13ff40e0af4ff76c046f82"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VDWK7CNSGBTVJXUYO7IAJY6VIF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Jiayun Wu, Konstantina Bairaktari, Zhiwei Steven Wu","submitted_at":"2025-02-24T15:46:18Z","abstract_excerpt":"Conformal prediction is a powerful distribution-free framework for constructing prediction sets with coverage guarantees. Classical methods, such as split conformal prediction, provide marginal coverage, ensuring that the prediction set contains the label of a random test point with a target probability. However, these guarantees may not hold uniformly across different subpopulations, leading to disparities in coverage. Prior work has explored coverage guarantees conditioned on events related to the covariates and label of the test point. We present Kandinsky conformal prediction, a framework "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17264","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/2502.17264/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":"2026-07-05T11:46:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iTEd01bJaar426Pr6DxRySoapABJcyplkoQ9bHBWYfwmhZt1Q1wsiYmOoaPeDN1EoT70DOYJmD1doXioixI3BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T15:00:12.546762Z"},"content_sha256":"4e69101f11f6fae015d0c18e51cb7fc294da53dcde269245adac19c43a169f25","schema_version":"1.0","event_id":"sha256:4e69101f11f6fae015d0c18e51cb7fc294da53dcde269245adac19c43a169f25"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VDWK7CNSGBTVJXUYO7IAJY6VIF/bundle.json","state_url":"https://pith.science/pith/VDWK7CNSGBTVJXUYO7IAJY6VIF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VDWK7CNSGBTVJXUYO7IAJY6VIF/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":"2026-08-22T15:00:12Z","links":{"resolver":"https://pith.science/pith/VDWK7CNSGBTVJXUYO7IAJY6VIF","bundle":"https://pith.science/pith/VDWK7CNSGBTVJXUYO7IAJY6VIF/bundle.json","state":"https://pith.science/pith/VDWK7CNSGBTVJXUYO7IAJY6VIF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VDWK7CNSGBTVJXUYO7IAJY6VIF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VDWK7CNSGBTVJXUYO7IAJY6VIF","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":"f8416bd48a5d62683c20fb0a7344c5467003102087237bfd04bc90b0fb49fd49","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-24T15:46:18Z","title_canon_sha256":"439665b3aefd446d473412b82569fc653c01ad026ff0e9195306d0ede563f5bf"},"schema_version":"1.0","source":{"id":"2502.17264","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.17264","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"arxiv_version","alias_value":"2502.17264v2","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17264","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_12","alias_value":"VDWK7CNSGBTV","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_16","alias_value":"VDWK7CNSGBTVJXUY","created_at":"2026-07-05T11:46:21Z"},{"alias_kind":"pith_short_8","alias_value":"VDWK7CNS","created_at":"2026-07-05T11:46:21Z"}],"graph_snapshots":[{"event_id":"sha256:4e69101f11f6fae015d0c18e51cb7fc294da53dcde269245adac19c43a169f25","target":"graph","created_at":"2026-07-05T11:46:21Z","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/2502.17264/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conformal prediction is a powerful distribution-free framework for constructing prediction sets with coverage guarantees. Classical methods, such as split conformal prediction, provide marginal coverage, ensuring that the prediction set contains the label of a random test point with a target probability. However, these guarantees may not hold uniformly across different subpopulations, leading to disparities in coverage. Prior work has explored coverage guarantees conditioned on events related to the covariates and label of the test point. We present Kandinsky conformal prediction, a framework ","authors_text":"Jiayun Wu, Konstantina Bairaktari, Zhiwei Steven Wu","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-24T15:46:18Z","title":"Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17264","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":"sha256:6537047d6d23f22c06ea39e18aa6bdd07d22e4972e13ff40e0af4ff76c046f82","target":"record","created_at":"2026-07-05T11:46:21Z","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":"f8416bd48a5d62683c20fb0a7344c5467003102087237bfd04bc90b0fb49fd49","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-24T15:46:18Z","title_canon_sha256":"439665b3aefd446d473412b82569fc653c01ad026ff0e9195306d0ede563f5bf"},"schema_version":"1.0","source":{"id":"2502.17264","kind":"arxiv","version":2}},"canonical_sha256":"a8ecaf89b2306754de9877d004e3d5414bfcb754903bb850ca56f063e88fda1b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a8ecaf89b2306754de9877d004e3d5414bfcb754903bb850ca56f063e88fda1b","first_computed_at":"2026-07-05T11:46:21.116297Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:21.116297Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"grVZ1z64hfUUmR3ABQWXi8V4iTl5Xan4QrfhiDObMAWN2ehdHd92hEZmi9PwIXzgS1/F/hv+bkANKine0n2qAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:21.116842Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.17264","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6537047d6d23f22c06ea39e18aa6bdd07d22e4972e13ff40e0af4ff76c046f82","sha256:4e69101f11f6fae015d0c18e51cb7fc294da53dcde269245adac19c43a169f25"],"state_sha256":"fa8214c1ee77bb476f5089ac7c48a017ff44bb820253e4a94c2a2969ce8db179"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IYOSNeB2EEJPFHlQyS1JJKk9u1NHWB+sdAPogcOVI2TrH8Ruxjtu9vFIK2BLn5i1lRo145mgBL7qjOuna/eyCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T15:00:12.551711Z","bundle_sha256":"8147f5dde906988640960bc76d6b03c06173063cdfb74b19e818fbe631e3d511"}}