{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HLMGKQRQ6KTN57L4Y3QE4IMNEH","short_pith_number":"pith:HLMGKQRQ","canonical_record":{"source":{"id":"2601.13102","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-01-19T14:40:49Z","cross_cats_sorted":["cs.LG","math.ST","stat.TH"],"title_canon_sha256":"c7b9c208d724344b27ac18ee943d15b61e135009f79659bfc5e7a85d966fce51","abstract_canon_sha256":"4cb652ff2f89c20f998be1b4e2188b15d15eb20254fa5f418fddfeb03624be11"},"schema_version":"1.0"},"canonical_sha256":"3ad8654230f2a6defd7cc6e04e218d21e2b7b9ab09af53c3109a5cf1c75f749a","source":{"kind":"arxiv","id":"2601.13102","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.13102","created_at":"2026-07-09T01:19:50Z"},{"alias_kind":"arxiv_version","alias_value":"2601.13102v3","created_at":"2026-07-09T01:19:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.13102","created_at":"2026-07-09T01:19:50Z"},{"alias_kind":"pith_short_12","alias_value":"HLMGKQRQ6KTN","created_at":"2026-07-09T01:19:50Z"},{"alias_kind":"pith_short_16","alias_value":"HLMGKQRQ6KTN57L4","created_at":"2026-07-09T01:19:50Z"},{"alias_kind":"pith_short_8","alias_value":"HLMGKQRQ","created_at":"2026-07-09T01:19:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HLMGKQRQ6KTN57L4Y3QE4IMNEH","target":"record","payload":{"canonical_record":{"source":{"id":"2601.13102","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-01-19T14:40:49Z","cross_cats_sorted":["cs.LG","math.ST","stat.TH"],"title_canon_sha256":"c7b9c208d724344b27ac18ee943d15b61e135009f79659bfc5e7a85d966fce51","abstract_canon_sha256":"4cb652ff2f89c20f998be1b4e2188b15d15eb20254fa5f418fddfeb03624be11"},"schema_version":"1.0"},"canonical_sha256":"3ad8654230f2a6defd7cc6e04e218d21e2b7b9ab09af53c3109a5cf1c75f749a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-09T01:19:50.913409Z","signature_b64":"Kktl9+9PFhEkms+3j9E8Zu4Jq+wAST8/7hE+zO7GEo9ow6YQEa1R+I5LpAJlR+aw4f6N3t3FnAwOOKGTLxozDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ad8654230f2a6defd7cc6e04e218d21e2b7b9ab09af53c3109a5cf1c75f749a","last_reissued_at":"2026-07-09T01:19:50.912911Z","signature_status":"signed_v1","first_computed_at":"2026-07-09T01:19:50.912911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2601.13102","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-09T01:19:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NEhx4iINMJKHJ6pA6L0RphcAx6hjaHFtYLsT1PVLdz/osXtqFhW2vTmI0OWhzxVJ67Wu5p39HdZtEi+l6JF+Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T09:12:13.552631Z"},"content_sha256":"3653817f6d9004e25bc2e3e5f654a66ac4c0cfb0d9a3cf55f065a29848c774d7","schema_version":"1.0","event_id":"sha256:3653817f6d9004e25bc2e3e5f654a66ac4c0cfb0d9a3cf55f065a29848c774d7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HLMGKQRQ6KTN57L4Y3QE4IMNEH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Approximate full conformal prediction in an RKHS","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","math.ST","stat.TH"],"primary_cat":"stat.ML","authors_text":"Alain Celisse, Davidson Lova Razafindrakoto, J\\'er\\^ome Lacaille","submitted_at":"2026-01-19T14:40:49Z","abstract_excerpt":"Full conformal prediction is a framework that implicitly formulates distribution-free confidence prediction regions for a wide range of estimators. However, a classical limitation of the full conformal framework is the computation of the confidence prediction regions, which is usually impossible since it requires training infinitely many estimators (for real-valued prediction for instance). The main purpose of the present work is to describe a generic strategy for designing a tight approximation to the full conformal prediction region that can be efficiently computed. Along with this approxima"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.13102","kind":"arxiv","version":3},"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/2601.13102/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":"2026-07-09T01:19:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q0ecf62ynzThQzwOh8ZcE7YBDju/vvAHND54OET7zHDIsTCcxRkGHyTmOWNmTq/VQbmQKX2qUwWrzSeWxPIgDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T09:12:13.553382Z"},"content_sha256":"1afcf2600695bae5eed14f4cdae6af1252ee9dd931823130214e40d5c138b3a1","schema_version":"1.0","event_id":"sha256:1afcf2600695bae5eed14f4cdae6af1252ee9dd931823130214e40d5c138b3a1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HLMGKQRQ6KTN57L4Y3QE4IMNEH/bundle.json","state_url":"https://pith.science/pith/HLMGKQRQ6KTN57L4Y3QE4IMNEH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HLMGKQRQ6KTN57L4Y3QE4IMNEH/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":"2026-08-21T09:12:13Z","links":{"resolver":"https://pith.science/pith/HLMGKQRQ6KTN57L4Y3QE4IMNEH","bundle":"https://pith.science/pith/HLMGKQRQ6KTN57L4Y3QE4IMNEH/bundle.json","state":"https://pith.science/pith/HLMGKQRQ6KTN57L4Y3QE4IMNEH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HLMGKQRQ6KTN57L4Y3QE4IMNEH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HLMGKQRQ6KTN57L4Y3QE4IMNEH","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":"4cb652ff2f89c20f998be1b4e2188b15d15eb20254fa5f418fddfeb03624be11","cross_cats_sorted":["cs.LG","math.ST","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-01-19T14:40:49Z","title_canon_sha256":"c7b9c208d724344b27ac18ee943d15b61e135009f79659bfc5e7a85d966fce51"},"schema_version":"1.0","source":{"id":"2601.13102","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.13102","created_at":"2026-07-09T01:19:50Z"},{"alias_kind":"arxiv_version","alias_value":"2601.13102v3","created_at":"2026-07-09T01:19:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.13102","created_at":"2026-07-09T01:19:50Z"},{"alias_kind":"pith_short_12","alias_value":"HLMGKQRQ6KTN","created_at":"2026-07-09T01:19:50Z"},{"alias_kind":"pith_short_16","alias_value":"HLMGKQRQ6KTN57L4","created_at":"2026-07-09T01:19:50Z"},{"alias_kind":"pith_short_8","alias_value":"HLMGKQRQ","created_at":"2026-07-09T01:19:50Z"}],"graph_snapshots":[{"event_id":"sha256:1afcf2600695bae5eed14f4cdae6af1252ee9dd931823130214e40d5c138b3a1","target":"graph","created_at":"2026-07-09T01:19:50Z","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/2601.13102/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Full conformal prediction is a framework that implicitly formulates distribution-free confidence prediction regions for a wide range of estimators. However, a classical limitation of the full conformal framework is the computation of the confidence prediction regions, which is usually impossible since it requires training infinitely many estimators (for real-valued prediction for instance). The main purpose of the present work is to describe a generic strategy for designing a tight approximation to the full conformal prediction region that can be efficiently computed. Along with this approxima","authors_text":"Alain Celisse, Davidson Lova Razafindrakoto, J\\'er\\^ome Lacaille","cross_cats":["cs.LG","math.ST","stat.TH"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-01-19T14:40:49Z","title":"Approximate full conformal prediction in an RKHS"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.13102","kind":"arxiv","version":3},"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":"sha256:3653817f6d9004e25bc2e3e5f654a66ac4c0cfb0d9a3cf55f065a29848c774d7","target":"record","created_at":"2026-07-09T01:19:50Z","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":"4cb652ff2f89c20f998be1b4e2188b15d15eb20254fa5f418fddfeb03624be11","cross_cats_sorted":["cs.LG","math.ST","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-01-19T14:40:49Z","title_canon_sha256":"c7b9c208d724344b27ac18ee943d15b61e135009f79659bfc5e7a85d966fce51"},"schema_version":"1.0","source":{"id":"2601.13102","kind":"arxiv","version":3}},"canonical_sha256":"3ad8654230f2a6defd7cc6e04e218d21e2b7b9ab09af53c3109a5cf1c75f749a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ad8654230f2a6defd7cc6e04e218d21e2b7b9ab09af53c3109a5cf1c75f749a","first_computed_at":"2026-07-09T01:19:50.912911Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-09T01:19:50.912911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Kktl9+9PFhEkms+3j9E8Zu4Jq+wAST8/7hE+zO7GEo9ow6YQEa1R+I5LpAJlR+aw4f6N3t3FnAwOOKGTLxozDg==","signature_status":"signed_v1","signed_at":"2026-07-09T01:19:50.913409Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.13102","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3653817f6d9004e25bc2e3e5f654a66ac4c0cfb0d9a3cf55f065a29848c774d7","sha256:1afcf2600695bae5eed14f4cdae6af1252ee9dd931823130214e40d5c138b3a1"],"state_sha256":"a16e5d2415b1b8f3e68164440305628da84749ea30411cc20ed8620327377804"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9QxPKc5+FeApqBxNK89pq/M/i5JI8pOttv7fJb7X+T+vejA99j0Nxq3q30cUq8OdGI7Ied3NqQq3au1N2g1uAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T09:12:13.559193Z","bundle_sha256":"a3df1a3270c690fd596511d5d3589e464d87d197c3dcee9c35badc66e9627a68"}}