{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5FBAP5UR6ZC7ZM74ON5X46OEZS","short_pith_number":"pith:5FBAP5UR","canonical_record":{"source":{"id":"2409.16829","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-09-25T11:30:14Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"ca9c991d493bef3ab0dedf18d751ace1592a68652f91e8e2ef65c0992a197efb","abstract_canon_sha256":"b9d28fcb8c8a105a4e9d48f027e63fe35b75502a01fbf84375b1c0f84bde96aa"},"schema_version":"1.0"},"canonical_sha256":"e94207f691f645fcb3fc737b7e79c4cc8b4f877ae9c8792921f201c4353790db","source":{"kind":"arxiv","id":"2409.16829","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.16829","created_at":"2026-07-05T09:11:40Z"},{"alias_kind":"arxiv_version","alias_value":"2409.16829v1","created_at":"2026-07-05T09:11:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.16829","created_at":"2026-07-05T09:11:40Z"},{"alias_kind":"pith_short_12","alias_value":"5FBAP5UR6ZC7","created_at":"2026-07-05T09:11:40Z"},{"alias_kind":"pith_short_16","alias_value":"5FBAP5UR6ZC7ZM74","created_at":"2026-07-05T09:11:40Z"},{"alias_kind":"pith_short_8","alias_value":"5FBAP5UR","created_at":"2026-07-05T09:11:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5FBAP5UR6ZC7ZM74ON5X46OEZS","target":"record","payload":{"canonical_record":{"source":{"id":"2409.16829","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-09-25T11:30:14Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"ca9c991d493bef3ab0dedf18d751ace1592a68652f91e8e2ef65c0992a197efb","abstract_canon_sha256":"b9d28fcb8c8a105a4e9d48f027e63fe35b75502a01fbf84375b1c0f84bde96aa"},"schema_version":"1.0"},"canonical_sha256":"e94207f691f645fcb3fc737b7e79c4cc8b4f877ae9c8792921f201c4353790db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:11:40.098121Z","signature_b64":"Yw6YULfUc6r50hQqltCLqFwLzp21xQBLclVA2Acl75WnOFjyLbBgecJRqA+Fb9gayNRVDW/GlvsimleW3IRaAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e94207f691f645fcb3fc737b7e79c4cc8b4f877ae9c8792921f201c4353790db","last_reissued_at":"2026-07-05T09:11:40.097644Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:11:40.097644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.16829","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":"2026-07-05T09:11:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MSWXGO6T1uR2fKLIa2WkGpQBW9aGi6P/4LvkjAfwsXFLwdlmVVt1veBkqBsC32oTj8BAtd4VbYaYYU59If5JCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:38:38.641084Z"},"content_sha256":"f6f684158c27dce31d91c000264c5002e060942836d20382a8b3b7f77de6a6da","schema_version":"1.0","event_id":"sha256:f6f684158c27dce31d91c000264c5002e060942836d20382a8b3b7f77de6a6da"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5FBAP5UR6ZC7ZM74ON5X46OEZS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conditional Testing based on Localized Conformal p-values","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"stat.ME","authors_text":"Changliang Zou, Lin Lu, Xiaoyang Wu, Zhaojun Wang","submitted_at":"2024-09-25T11:30:14Z","abstract_excerpt":"In this paper, we address conditional testing problems through the conformal inference framework. We define the localized conformal p-values by inverting prediction intervals and prove their theoretical properties. These defined p-values are then applied to several conditional testing problems to illustrate their practicality. Firstly, we propose a conditional outlier detection procedure to test for outliers in the conditional distribution with finite-sample false discovery rate (FDR) control. We also introduce a novel conditional label screening problem with the goal of screening multivariate"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.16829","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/2409.16829/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":"2026-07-05T09:11:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LELJzxQu+zUh0WPPWqfiNLp4nooKrb48y7BpC3Z/0TJt/1ms/ITVIIt2b25HOeQIWRKi0wpoYUkOJtNW03p6Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:38:38.641737Z"},"content_sha256":"e7e5e77582221bb6f8904ca5fb3afc039fbad4a2495c9065136084ad996ce339","schema_version":"1.0","event_id":"sha256:e7e5e77582221bb6f8904ca5fb3afc039fbad4a2495c9065136084ad996ce339"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5FBAP5UR6ZC7ZM74ON5X46OEZS/bundle.json","state_url":"https://pith.science/pith/5FBAP5UR6ZC7ZM74ON5X46OEZS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5FBAP5UR6ZC7ZM74ON5X46OEZS/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":"2026-08-10T15:38:38Z","links":{"resolver":"https://pith.science/pith/5FBAP5UR6ZC7ZM74ON5X46OEZS","bundle":"https://pith.science/pith/5FBAP5UR6ZC7ZM74ON5X46OEZS/bundle.json","state":"https://pith.science/pith/5FBAP5UR6ZC7ZM74ON5X46OEZS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5FBAP5UR6ZC7ZM74ON5X46OEZS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5FBAP5UR6ZC7ZM74ON5X46OEZS","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":"b9d28fcb8c8a105a4e9d48f027e63fe35b75502a01fbf84375b1c0f84bde96aa","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-09-25T11:30:14Z","title_canon_sha256":"ca9c991d493bef3ab0dedf18d751ace1592a68652f91e8e2ef65c0992a197efb"},"schema_version":"1.0","source":{"id":"2409.16829","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.16829","created_at":"2026-07-05T09:11:40Z"},{"alias_kind":"arxiv_version","alias_value":"2409.16829v1","created_at":"2026-07-05T09:11:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.16829","created_at":"2026-07-05T09:11:40Z"},{"alias_kind":"pith_short_12","alias_value":"5FBAP5UR6ZC7","created_at":"2026-07-05T09:11:40Z"},{"alias_kind":"pith_short_16","alias_value":"5FBAP5UR6ZC7ZM74","created_at":"2026-07-05T09:11:40Z"},{"alias_kind":"pith_short_8","alias_value":"5FBAP5UR","created_at":"2026-07-05T09:11:40Z"}],"graph_snapshots":[{"event_id":"sha256:e7e5e77582221bb6f8904ca5fb3afc039fbad4a2495c9065136084ad996ce339","target":"graph","created_at":"2026-07-05T09:11:40Z","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/2409.16829/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we address conditional testing problems through the conformal inference framework. We define the localized conformal p-values by inverting prediction intervals and prove their theoretical properties. These defined p-values are then applied to several conditional testing problems to illustrate their practicality. Firstly, we propose a conditional outlier detection procedure to test for outliers in the conditional distribution with finite-sample false discovery rate (FDR) control. We also introduce a novel conditional label screening problem with the goal of screening multivariate","authors_text":"Changliang Zou, Lin Lu, Xiaoyang Wu, Zhaojun Wang","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-09-25T11:30:14Z","title":"Conditional Testing based on Localized Conformal p-values"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.16829","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:f6f684158c27dce31d91c000264c5002e060942836d20382a8b3b7f77de6a6da","target":"record","created_at":"2026-07-05T09:11:40Z","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":"b9d28fcb8c8a105a4e9d48f027e63fe35b75502a01fbf84375b1c0f84bde96aa","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-09-25T11:30:14Z","title_canon_sha256":"ca9c991d493bef3ab0dedf18d751ace1592a68652f91e8e2ef65c0992a197efb"},"schema_version":"1.0","source":{"id":"2409.16829","kind":"arxiv","version":1}},"canonical_sha256":"e94207f691f645fcb3fc737b7e79c4cc8b4f877ae9c8792921f201c4353790db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e94207f691f645fcb3fc737b7e79c4cc8b4f877ae9c8792921f201c4353790db","first_computed_at":"2026-07-05T09:11:40.097644Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:11:40.097644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yw6YULfUc6r50hQqltCLqFwLzp21xQBLclVA2Acl75WnOFjyLbBgecJRqA+Fb9gayNRVDW/GlvsimleW3IRaAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:11:40.098121Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.16829","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6f684158c27dce31d91c000264c5002e060942836d20382a8b3b7f77de6a6da","sha256:e7e5e77582221bb6f8904ca5fb3afc039fbad4a2495c9065136084ad996ce339"],"state_sha256":"0bbe020626073d1f34e2cad1b7071c48085aca4d82864cadd3bbb5ba48731f13"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CycDVHj0nXZ7Ov+VEUxTajkiKCtg5yHRmOvHxdM4+fwddJkZCvivwLOLsIXJzoDKtDDOyIrqseWGy9+hAV76Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T15:38:38.646212Z","bundle_sha256":"4bbb7abae4ea0295177b947087a7bd09cbed647fd1fd3fac85c37d45e1173fac"}}