{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZYUE3BG6OJ3ZN52BEUI76CLL2I","short_pith_number":"pith:ZYUE3BG6","canonical_record":{"source":{"id":"2405.13268","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-22T00:42:49Z","cross_cats_sorted":[],"title_canon_sha256":"e547a039f9a10bbefabc102941f339954aba63470c2d0d9ea4a3670daf772323","abstract_canon_sha256":"ae3b8b099a89e2fea8a527d441275c8e035dd10ae16da07d6c1ca07b708c633b"},"schema_version":"1.0"},"canonical_sha256":"ce284d84de727796f7412511ff096bd237b159d5bc63627c2ddf13bf2fb56d07","source":{"kind":"arxiv","id":"2405.13268","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.13268","created_at":"2026-07-05T11:10:31Z"},{"alias_kind":"arxiv_version","alias_value":"2405.13268v3","created_at":"2026-07-05T11:10:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.13268","created_at":"2026-07-05T11:10:31Z"},{"alias_kind":"pith_short_12","alias_value":"ZYUE3BG6OJ3Z","created_at":"2026-07-05T11:10:31Z"},{"alias_kind":"pith_short_16","alias_value":"ZYUE3BG6OJ3ZN52B","created_at":"2026-07-05T11:10:31Z"},{"alias_kind":"pith_short_8","alias_value":"ZYUE3BG6","created_at":"2026-07-05T11:10:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZYUE3BG6OJ3ZN52BEUI76CLL2I","target":"record","payload":{"canonical_record":{"source":{"id":"2405.13268","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-22T00:42:49Z","cross_cats_sorted":[],"title_canon_sha256":"e547a039f9a10bbefabc102941f339954aba63470c2d0d9ea4a3670daf772323","abstract_canon_sha256":"ae3b8b099a89e2fea8a527d441275c8e035dd10ae16da07d6c1ca07b708c633b"},"schema_version":"1.0"},"canonical_sha256":"ce284d84de727796f7412511ff096bd237b159d5bc63627c2ddf13bf2fb56d07","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:31.314936Z","signature_b64":"g+Qxs7y4NoLVhUAbF9sO6HCw0EXHvZRsxUlOdQJ+J5z9ADpdyCh12mDSD55B3ZQ5OcuzKsfXBttMy0vDfe2ZDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce284d84de727796f7412511ff096bd237b159d5bc63627c2ddf13bf2fb56d07","last_reissued_at":"2026-07-05T11:10:31.314528Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:31.314528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.13268","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":"2026-07-05T11:10:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gJKSstB1XaDBQIwA29LJjL6zGs4V/xC8I6u0TD50TWM0UTbSoHdPmQyfsOPsPvwJB+H6CdmbCaTv3rlb0AUgDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T04:00:06.543224Z"},"content_sha256":"39807d84ad177bd4f16892fc46e6abfc5aadc27f7515879605122e7e6e8dab6a","schema_version":"1.0","event_id":"sha256:39807d84ad177bd4f16892fc46e6abfc5aadc27f7515879605122e7e6e8dab6a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZYUE3BG6OJ3ZN52BEUI76CLL2I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stochastic Online Conformal Prediction with Semi-Bandit Feedback","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Hamsa Bastani, Haosen Ge, Osbert Bastani","submitted_at":"2024-05-22T00:42:49Z","abstract_excerpt":"Conformal prediction has emerged as an effective strategy for uncertainty quantification by modifying a model to output sets of labels instead of a single label. These prediction sets come with the guarantee that they contain the true label with high probability. However, conformal prediction typically requires a large calibration dataset of i.i.d. examples. We consider the online learning setting, where examples arrive over time, and the goal is to construct prediction sets dynamically. Departing from existing work, we assume semi-bandit feedback, where we only observe the true label if it is"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.13268","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/2405.13268/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":"2026-07-05T11:10:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X5waUVZYmvESXmYwS3trfhTcJjkjQcxACuaAkQXCG5EuwOAYVjQMiQJ5vvSnh+cO0ylKqCw84oXlI9Rl+jYoDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T04:00:06.543780Z"},"content_sha256":"7839583433526126bc288a86c1af3ddab92f3138060f027a8907a740ada96ffc","schema_version":"1.0","event_id":"sha256:7839583433526126bc288a86c1af3ddab92f3138060f027a8907a740ada96ffc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZYUE3BG6OJ3ZN52BEUI76CLL2I/bundle.json","state_url":"https://pith.science/pith/ZYUE3BG6OJ3ZN52BEUI76CLL2I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZYUE3BG6OJ3ZN52BEUI76CLL2I/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":"2026-08-20T04:00:06Z","links":{"resolver":"https://pith.science/pith/ZYUE3BG6OJ3ZN52BEUI76CLL2I","bundle":"https://pith.science/pith/ZYUE3BG6OJ3ZN52BEUI76CLL2I/bundle.json","state":"https://pith.science/pith/ZYUE3BG6OJ3ZN52BEUI76CLL2I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZYUE3BG6OJ3ZN52BEUI76CLL2I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZYUE3BG6OJ3ZN52BEUI76CLL2I","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":"ae3b8b099a89e2fea8a527d441275c8e035dd10ae16da07d6c1ca07b708c633b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-22T00:42:49Z","title_canon_sha256":"e547a039f9a10bbefabc102941f339954aba63470c2d0d9ea4a3670daf772323"},"schema_version":"1.0","source":{"id":"2405.13268","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.13268","created_at":"2026-07-05T11:10:31Z"},{"alias_kind":"arxiv_version","alias_value":"2405.13268v3","created_at":"2026-07-05T11:10:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.13268","created_at":"2026-07-05T11:10:31Z"},{"alias_kind":"pith_short_12","alias_value":"ZYUE3BG6OJ3Z","created_at":"2026-07-05T11:10:31Z"},{"alias_kind":"pith_short_16","alias_value":"ZYUE3BG6OJ3ZN52B","created_at":"2026-07-05T11:10:31Z"},{"alias_kind":"pith_short_8","alias_value":"ZYUE3BG6","created_at":"2026-07-05T11:10:31Z"}],"graph_snapshots":[{"event_id":"sha256:7839583433526126bc288a86c1af3ddab92f3138060f027a8907a740ada96ffc","target":"graph","created_at":"2026-07-05T11:10:31Z","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/2405.13268/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conformal prediction has emerged as an effective strategy for uncertainty quantification by modifying a model to output sets of labels instead of a single label. These prediction sets come with the guarantee that they contain the true label with high probability. However, conformal prediction typically requires a large calibration dataset of i.i.d. examples. We consider the online learning setting, where examples arrive over time, and the goal is to construct prediction sets dynamically. Departing from existing work, we assume semi-bandit feedback, where we only observe the true label if it is","authors_text":"Hamsa Bastani, Haosen Ge, Osbert Bastani","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-22T00:42:49Z","title":"Stochastic Online Conformal Prediction with Semi-Bandit Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.13268","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":"sha256:39807d84ad177bd4f16892fc46e6abfc5aadc27f7515879605122e7e6e8dab6a","target":"record","created_at":"2026-07-05T11:10:31Z","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":"ae3b8b099a89e2fea8a527d441275c8e035dd10ae16da07d6c1ca07b708c633b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-22T00:42:49Z","title_canon_sha256":"e547a039f9a10bbefabc102941f339954aba63470c2d0d9ea4a3670daf772323"},"schema_version":"1.0","source":{"id":"2405.13268","kind":"arxiv","version":3}},"canonical_sha256":"ce284d84de727796f7412511ff096bd237b159d5bc63627c2ddf13bf2fb56d07","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ce284d84de727796f7412511ff096bd237b159d5bc63627c2ddf13bf2fb56d07","first_computed_at":"2026-07-05T11:10:31.314528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:31.314528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g+Qxs7y4NoLVhUAbF9sO6HCw0EXHvZRsxUlOdQJ+J5z9ADpdyCh12mDSD55B3ZQ5OcuzKsfXBttMy0vDfe2ZDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:31.314936Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.13268","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:39807d84ad177bd4f16892fc46e6abfc5aadc27f7515879605122e7e6e8dab6a","sha256:7839583433526126bc288a86c1af3ddab92f3138060f027a8907a740ada96ffc"],"state_sha256":"47e57a4568094543a99fe561f1e30c02543fcf4bd1a452f3af2f0b80bc57017b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tJg18qd1goTFZJVKidMc7R7eqvRfZUi5di408A7ICNbGsY53HHk3Q8zF9L9L1sd3iFK/aLmNFZqS4+0F/9kkDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T04:00:06.547347Z","bundle_sha256":"958f3ea6c7cda26e37af8924b58bb2d5ad00488341cbad37ee70b0d0a960adb6"}}