{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3L4C3YRXRLPUGT3KOVT4L7ITNV","short_pith_number":"pith:3L4C3YRX","canonical_record":{"source":{"id":"2410.06494","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-09T02:42:51Z","cross_cats_sorted":[],"title_canon_sha256":"1ec2d834c529b3c50fca62f35dadac1a554092514869a1c9ea52ee4dcf521980","abstract_canon_sha256":"fd378415859ca382d001020635e677bb105662dea71ff49854ce2f7b2a46ceea"},"schema_version":"1.0"},"canonical_sha256":"daf82de2378adf434f6a7567c5fd136d5b1aaa9cf90997489088f99c50b12989","source":{"kind":"arxiv","id":"2410.06494","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.06494","created_at":"2026-07-05T10:28:23Z"},{"alias_kind":"arxiv_version","alias_value":"2410.06494v3","created_at":"2026-07-05T10:28:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.06494","created_at":"2026-07-05T10:28:23Z"},{"alias_kind":"pith_short_12","alias_value":"3L4C3YRXRLPU","created_at":"2026-07-05T10:28:23Z"},{"alias_kind":"pith_short_16","alias_value":"3L4C3YRXRLPUGT3K","created_at":"2026-07-05T10:28:23Z"},{"alias_kind":"pith_short_8","alias_value":"3L4C3YRX","created_at":"2026-07-05T10:28:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3L4C3YRXRLPUGT3KOVT4L7ITNV","target":"record","payload":{"canonical_record":{"source":{"id":"2410.06494","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-09T02:42:51Z","cross_cats_sorted":[],"title_canon_sha256":"1ec2d834c529b3c50fca62f35dadac1a554092514869a1c9ea52ee4dcf521980","abstract_canon_sha256":"fd378415859ca382d001020635e677bb105662dea71ff49854ce2f7b2a46ceea"},"schema_version":"1.0"},"canonical_sha256":"daf82de2378adf434f6a7567c5fd136d5b1aaa9cf90997489088f99c50b12989","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:28:23.950119Z","signature_b64":"JRC9DZYCGhKtoNOy8RO80y3uHrsecAy1GBZ7nRe9Dn51XjXBwuBiLPKx5595YIjqZIgrqVmy1K86Y1W6JbTiAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"daf82de2378adf434f6a7567c5fd136d5b1aaa9cf90997489088f99c50b12989","last_reissued_at":"2026-07-05T10:28:23.949437Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:28:23.949437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.06494","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":"2026-07-05T10:28:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e7cOGIzP6V6mKbxnK3KZbX9+E47IK0aKnJb5NcBzRMSavYn4SCYOewEL3J7RH8LzsN1Xkdlm6k2zdovt2eWjCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:59:35.186765Z"},"content_sha256":"7ceb3e51fe4b84f153b4afad59b117dd742184270ce06d77ab0adc6175ee4ca4","schema_version":"1.0","event_id":"sha256:7ceb3e51fe4b84f153b4afad59b117dd742184270ce06d77ab0adc6175ee4ca4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3L4C3YRXRLPUGT3KOVT4L7ITNV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conformal Prediction: A Data Perspective","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Baiting Chen, Lu Cheng, Xiaofan Zhou, Yu Gui","submitted_at":"2024-10-09T02:42:51Z","abstract_excerpt":"Conformal prediction (CP), a distribution-free uncertainty quantification (UQ) framework, reliably provides valid predictive inference for black-box models. CP constructs prediction sets that contain the true output with a specified probability. However, modern data science diverse modalities, along with increasing data and model complexity, challenge traditional CP methods. These developments have spurred novel approaches to address evolving scenarios. This survey reviews the foundational concepts of CP and recent advancements from a data-centric perspective, including applications to structu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.06494","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/2410.06494/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":"2026-07-05T10:28:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b8jyJPxKUJsgAp1wbehWZZbEcq6RbMWmH1rbSeE1XCQzBM7nW7Spi5bOPQjingCzYZ3Iki5oVXDArNA72CWVDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:59:35.187614Z"},"content_sha256":"02c92614c5265a72fcfba4245d14427af68d136b8be3d81556d0db944018f907","schema_version":"1.0","event_id":"sha256:02c92614c5265a72fcfba4245d14427af68d136b8be3d81556d0db944018f907"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3L4C3YRXRLPUGT3KOVT4L7ITNV/bundle.json","state_url":"https://pith.science/pith/3L4C3YRXRLPUGT3KOVT4L7ITNV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3L4C3YRXRLPUGT3KOVT4L7ITNV/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":"2026-08-09T07:59:35Z","links":{"resolver":"https://pith.science/pith/3L4C3YRXRLPUGT3KOVT4L7ITNV","bundle":"https://pith.science/pith/3L4C3YRXRLPUGT3KOVT4L7ITNV/bundle.json","state":"https://pith.science/pith/3L4C3YRXRLPUGT3KOVT4L7ITNV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3L4C3YRXRLPUGT3KOVT4L7ITNV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3L4C3YRXRLPUGT3KOVT4L7ITNV","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":"fd378415859ca382d001020635e677bb105662dea71ff49854ce2f7b2a46ceea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-09T02:42:51Z","title_canon_sha256":"1ec2d834c529b3c50fca62f35dadac1a554092514869a1c9ea52ee4dcf521980"},"schema_version":"1.0","source":{"id":"2410.06494","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.06494","created_at":"2026-07-05T10:28:23Z"},{"alias_kind":"arxiv_version","alias_value":"2410.06494v3","created_at":"2026-07-05T10:28:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.06494","created_at":"2026-07-05T10:28:23Z"},{"alias_kind":"pith_short_12","alias_value":"3L4C3YRXRLPU","created_at":"2026-07-05T10:28:23Z"},{"alias_kind":"pith_short_16","alias_value":"3L4C3YRXRLPUGT3K","created_at":"2026-07-05T10:28:23Z"},{"alias_kind":"pith_short_8","alias_value":"3L4C3YRX","created_at":"2026-07-05T10:28:23Z"}],"graph_snapshots":[{"event_id":"sha256:02c92614c5265a72fcfba4245d14427af68d136b8be3d81556d0db944018f907","target":"graph","created_at":"2026-07-05T10:28:23Z","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/2410.06494/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conformal prediction (CP), a distribution-free uncertainty quantification (UQ) framework, reliably provides valid predictive inference for black-box models. CP constructs prediction sets that contain the true output with a specified probability. However, modern data science diverse modalities, along with increasing data and model complexity, challenge traditional CP methods. These developments have spurred novel approaches to address evolving scenarios. This survey reviews the foundational concepts of CP and recent advancements from a data-centric perspective, including applications to structu","authors_text":"Baiting Chen, Lu Cheng, Xiaofan Zhou, Yu Gui","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-09T02:42:51Z","title":"Conformal Prediction: A Data Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.06494","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":"sha256:7ceb3e51fe4b84f153b4afad59b117dd742184270ce06d77ab0adc6175ee4ca4","target":"record","created_at":"2026-07-05T10:28:23Z","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":"fd378415859ca382d001020635e677bb105662dea71ff49854ce2f7b2a46ceea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-09T02:42:51Z","title_canon_sha256":"1ec2d834c529b3c50fca62f35dadac1a554092514869a1c9ea52ee4dcf521980"},"schema_version":"1.0","source":{"id":"2410.06494","kind":"arxiv","version":3}},"canonical_sha256":"daf82de2378adf434f6a7567c5fd136d5b1aaa9cf90997489088f99c50b12989","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"daf82de2378adf434f6a7567c5fd136d5b1aaa9cf90997489088f99c50b12989","first_computed_at":"2026-07-05T10:28:23.949437Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:28:23.949437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JRC9DZYCGhKtoNOy8RO80y3uHrsecAy1GBZ7nRe9Dn51XjXBwuBiLPKx5595YIjqZIgrqVmy1K86Y1W6JbTiAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:28:23.950119Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.06494","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ceb3e51fe4b84f153b4afad59b117dd742184270ce06d77ab0adc6175ee4ca4","sha256:02c92614c5265a72fcfba4245d14427af68d136b8be3d81556d0db944018f907"],"state_sha256":"586b9f7cd622e1b158d6038a3c002611569c44d8957ffcbe61bfd80d704ddf17"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bwwxDFgAWs9unpl9TNW9O/UR/qTPNS3DT31tB8AvZRsqa13LTklU2+fupzlUSGAu0MqR7TT03REy5JLnOf/+CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T07:59:35.192895Z","bundle_sha256":"4434b4b5989b6e6cf587d80858a2d9810bf2967b4fc7c7aae4700a073e7d8711"}}