{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2OYOG6LH6J2T4YUJ37ERSFRJVF","short_pith_number":"pith:2OYOG6LH","canonical_record":{"source":{"id":"2406.09714","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-06-14T04:46:39Z","cross_cats_sorted":["cs.LG","stat.ME"],"title_canon_sha256":"fd587903b708cf3fe7114e38e025441d59e5df7b3276004b5b863a0a9d5fb5c9","abstract_canon_sha256":"29130da67a56f5aa0f52000f16b453e9888f7211a39baee740beb11ab373b56b"},"schema_version":"1.0"},"canonical_sha256":"d3b0e37967f2753e6289dfc9191629a95726198326282a2d4044112b09bba76d","source":{"kind":"arxiv","id":"2406.09714","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09714","created_at":"2026-07-05T09:28:51Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09714v2","created_at":"2026-07-05T09:28:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09714","created_at":"2026-07-05T09:28:51Z"},{"alias_kind":"pith_short_12","alias_value":"2OYOG6LH6J2T","created_at":"2026-07-05T09:28:51Z"},{"alias_kind":"pith_short_16","alias_value":"2OYOG6LH6J2T4YUJ","created_at":"2026-07-05T09:28:51Z"},{"alias_kind":"pith_short_8","alias_value":"2OYOG6LH","created_at":"2026-07-05T09:28:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2OYOG6LH6J2T4YUJ37ERSFRJVF","target":"record","payload":{"canonical_record":{"source":{"id":"2406.09714","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-06-14T04:46:39Z","cross_cats_sorted":["cs.LG","stat.ME"],"title_canon_sha256":"fd587903b708cf3fe7114e38e025441d59e5df7b3276004b5b863a0a9d5fb5c9","abstract_canon_sha256":"29130da67a56f5aa0f52000f16b453e9888f7211a39baee740beb11ab373b56b"},"schema_version":"1.0"},"canonical_sha256":"d3b0e37967f2753e6289dfc9191629a95726198326282a2d4044112b09bba76d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:28:51.401150Z","signature_b64":"p2631encmgtaSndMqRLWWgYcfOpXlToC6sQMYyvaAtG0Mi63VrbRAyK8yaLH9jX0H7CrkDtQMDMCQzmF7eDDDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3b0e37967f2753e6289dfc9191629a95726198326282a2d4044112b09bba76d","last_reissued_at":"2026-07-05T09:28:51.400710Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:28:51.400710Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.09714","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":"2026-07-05T09:28:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0CJPAfg+7CFxKWySXm+1AWykl3GspjYG9PybYvIWHJ7phZOPTfwjAfco35o0j+nsj4QYu0bkvFfuE5/Tj3KYAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T21:45:06.901632Z"},"content_sha256":"8f7c16e6ca939f0622f1d38dc94698fc9397d00cab41f3e57030988e35e07af3","schema_version":"1.0","event_id":"sha256:8f7c16e6ca939f0622f1d38dc94698fc9397d00cab41f3e57030988e35e07af3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2OYOG6LH6J2T4YUJ37ERSFRJVF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large language model validity via enhanced conformal prediction methods","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","stat.ME"],"primary_cat":"stat.ML","authors_text":"Emmanuel J. Cand\\`es, Isaac Gibbs, John J. Cherian","submitted_at":"2024-06-14T04:46:39Z","abstract_excerpt":"We develop new conformal inference methods for obtaining validity guarantees on the output of large language models (LLMs). Prior work in conformal language modeling identifies a subset of the text that satisfies a high-probability guarantee of correctness. These methods work by filtering claims from the LLM's original response if a scoring function evaluated on the claim fails to exceed a threshold calibrated via split conformal prediction. Existing methods in this area suffer from two deficiencies. First, the guarantee stated is not conditionally valid. The trustworthiness of the filtering s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09714","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/2406.09714/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":"2026-07-05T09:28:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xG+XZ1lMX8h7OhX/+5J3/VFHYBD44Eghr2S6mX1m9Ly9bRejPKt8yNyal95OcmBgAhDrd7wr43iyfQKkLut3Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T21:45:06.901932Z"},"content_sha256":"f1eeab2d8d1af39386226eeefc689f6ccb1509e5b9314eb82bed207bd40684e1","schema_version":"1.0","event_id":"sha256:f1eeab2d8d1af39386226eeefc689f6ccb1509e5b9314eb82bed207bd40684e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2OYOG6LH6J2T4YUJ37ERSFRJVF/bundle.json","state_url":"https://pith.science/pith/2OYOG6LH6J2T4YUJ37ERSFRJVF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2OYOG6LH6J2T4YUJ37ERSFRJVF/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":"2026-08-14T21:45:06Z","links":{"resolver":"https://pith.science/pith/2OYOG6LH6J2T4YUJ37ERSFRJVF","bundle":"https://pith.science/pith/2OYOG6LH6J2T4YUJ37ERSFRJVF/bundle.json","state":"https://pith.science/pith/2OYOG6LH6J2T4YUJ37ERSFRJVF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2OYOG6LH6J2T4YUJ37ERSFRJVF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2OYOG6LH6J2T4YUJ37ERSFRJVF","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":"29130da67a56f5aa0f52000f16b453e9888f7211a39baee740beb11ab373b56b","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-06-14T04:46:39Z","title_canon_sha256":"fd587903b708cf3fe7114e38e025441d59e5df7b3276004b5b863a0a9d5fb5c9"},"schema_version":"1.0","source":{"id":"2406.09714","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09714","created_at":"2026-07-05T09:28:51Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09714v2","created_at":"2026-07-05T09:28:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09714","created_at":"2026-07-05T09:28:51Z"},{"alias_kind":"pith_short_12","alias_value":"2OYOG6LH6J2T","created_at":"2026-07-05T09:28:51Z"},{"alias_kind":"pith_short_16","alias_value":"2OYOG6LH6J2T4YUJ","created_at":"2026-07-05T09:28:51Z"},{"alias_kind":"pith_short_8","alias_value":"2OYOG6LH","created_at":"2026-07-05T09:28:51Z"}],"graph_snapshots":[{"event_id":"sha256:f1eeab2d8d1af39386226eeefc689f6ccb1509e5b9314eb82bed207bd40684e1","target":"graph","created_at":"2026-07-05T09:28:51Z","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/2406.09714/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We develop new conformal inference methods for obtaining validity guarantees on the output of large language models (LLMs). Prior work in conformal language modeling identifies a subset of the text that satisfies a high-probability guarantee of correctness. These methods work by filtering claims from the LLM's original response if a scoring function evaluated on the claim fails to exceed a threshold calibrated via split conformal prediction. Existing methods in this area suffer from two deficiencies. First, the guarantee stated is not conditionally valid. The trustworthiness of the filtering s","authors_text":"Emmanuel J. Cand\\`es, Isaac Gibbs, John J. Cherian","cross_cats":["cs.LG","stat.ME"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-06-14T04:46:39Z","title":"Large language model validity via enhanced conformal prediction methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09714","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":"sha256:8f7c16e6ca939f0622f1d38dc94698fc9397d00cab41f3e57030988e35e07af3","target":"record","created_at":"2026-07-05T09:28:51Z","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":"29130da67a56f5aa0f52000f16b453e9888f7211a39baee740beb11ab373b56b","cross_cats_sorted":["cs.LG","stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-06-14T04:46:39Z","title_canon_sha256":"fd587903b708cf3fe7114e38e025441d59e5df7b3276004b5b863a0a9d5fb5c9"},"schema_version":"1.0","source":{"id":"2406.09714","kind":"arxiv","version":2}},"canonical_sha256":"d3b0e37967f2753e6289dfc9191629a95726198326282a2d4044112b09bba76d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3b0e37967f2753e6289dfc9191629a95726198326282a2d4044112b09bba76d","first_computed_at":"2026-07-05T09:28:51.400710Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:28:51.400710Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p2631encmgtaSndMqRLWWgYcfOpXlToC6sQMYyvaAtG0Mi63VrbRAyK8yaLH9jX0H7CrkDtQMDMCQzmF7eDDDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:28:51.401150Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.09714","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f7c16e6ca939f0622f1d38dc94698fc9397d00cab41f3e57030988e35e07af3","sha256:f1eeab2d8d1af39386226eeefc689f6ccb1509e5b9314eb82bed207bd40684e1"],"state_sha256":"e3eec4b4581fdf94ec64a85c85b68c5c3fcbf075cde80570a583ae09cd981421"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Utd/piPsRH6UZaoF1r7kcBdrp9BeO1KqzRVK51wbLm0zRQTFKVNAM/ZdPzds9JPhjApDxhTA5aoEJPgDlktGCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T21:45:06.905121Z","bundle_sha256":"1d3ce8d0a13b754768390138df8c3fb56a75adf3a6163ef684e6a3706d8e23cc"}}