{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DJWCIPR4KDURPYD3OBFYBF5VCP","short_pith_number":"pith:DJWCIPR4","canonical_record":{"source":{"id":"2410.01767","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T17:22:09Z","cross_cats_sorted":[],"title_canon_sha256":"d347a7ed1d31711b72d4911a3c04f886b2d7f489b9629cca0b20285d865ac5fe","abstract_canon_sha256":"49899a45522b4f5850355a4122f4b1bf8504e2bd676e40f85cc35156adc2abdd"},"schema_version":"1.0"},"canonical_sha256":"1a6c243e3c50e917e07b704b8097b513dea9dd1d362aff1fe6871f151d637e2f","source":{"kind":"arxiv","id":"2410.01767","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.01767","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"arxiv_version","alias_value":"2410.01767v2","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.01767","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_12","alias_value":"DJWCIPR4KDUR","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_16","alias_value":"DJWCIPR4KDURPYD3","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_8","alias_value":"DJWCIPR4","created_at":"2026-07-05T10:21:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DJWCIPR4KDURPYD3OBFYBF5VCP","target":"record","payload":{"canonical_record":{"source":{"id":"2410.01767","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T17:22:09Z","cross_cats_sorted":[],"title_canon_sha256":"d347a7ed1d31711b72d4911a3c04f886b2d7f489b9629cca0b20285d865ac5fe","abstract_canon_sha256":"49899a45522b4f5850355a4122f4b1bf8504e2bd676e40f85cc35156adc2abdd"},"schema_version":"1.0"},"canonical_sha256":"1a6c243e3c50e917e07b704b8097b513dea9dd1d362aff1fe6871f151d637e2f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:21:23.782797Z","signature_b64":"vMMrwfvdEeHiF4c910z8txd0ouSL6M9VJFik1QQa4yWvO0db/ptQIlEhHYLB+06aTU+kYX7AYHGHCtDEeD7+Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1a6c243e3c50e917e07b704b8097b513dea9dd1d362aff1fe6871f151d637e2f","last_reissued_at":"2026-07-05T10:21:23.782291Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:21:23.782291Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.01767","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":"2026-07-05T10:21:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GLlv1TMiFDyEMVuvGpPMkERC66upt7UyshS49T4FwaR2FffN9pq6mTLiWeT5gUkhsWnOj+Dyx0QWlUtkM1mwCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:30:58.209181Z"},"content_sha256":"f58cdf5d25835210021ff36b5c9fd7fc440c9f217fabbdae22f61dae8800fb3c","schema_version":"1.0","event_id":"sha256:f58cdf5d25835210021ff36b5c9fd7fc440c9f217fabbdae22f61dae8800fb3c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DJWCIPR4KDURPYD3OBFYBF5VCP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bryan Wilder, Carlos Pati\\~no, Eric Horvitz, Santiago Cortes-Gomez, Steven Wu, Yewon Byun","submitted_at":"2024-10-02T17:22:09Z","abstract_excerpt":"Interest has been growing in decision-focused machine learning methods which train models to account for how their predictions are used in downstream optimization problems. Doing so can often improve performance on subsequent decision problems. However, current methods for uncertainty quantification do not incorporate any information about downstream decisions. We develop a methodology based on conformal prediction to identify prediction sets that account for a downstream cost function, making them more appropriate to inform high-stakes decision-making. Our approach harnesses the strengths of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.01767","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/2410.01767/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":"2026-07-05T10:21:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2fHKC53Z2Ebx+mDk5p02qMSICQeC/nBBO1doa4gMW7jsmVNFEt3wacvWw1Thsd/4wpLNOULB2DhojAGOf4N0Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:30:58.210083Z"},"content_sha256":"8449f6c965ba4f7f61918ff8726d8285b24c486557581763ece27613c0b7e394","schema_version":"1.0","event_id":"sha256:8449f6c965ba4f7f61918ff8726d8285b24c486557581763ece27613c0b7e394"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DJWCIPR4KDURPYD3OBFYBF5VCP/bundle.json","state_url":"https://pith.science/pith/DJWCIPR4KDURPYD3OBFYBF5VCP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DJWCIPR4KDURPYD3OBFYBF5VCP/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":"2026-08-10T20:30:58Z","links":{"resolver":"https://pith.science/pith/DJWCIPR4KDURPYD3OBFYBF5VCP","bundle":"https://pith.science/pith/DJWCIPR4KDURPYD3OBFYBF5VCP/bundle.json","state":"https://pith.science/pith/DJWCIPR4KDURPYD3OBFYBF5VCP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DJWCIPR4KDURPYD3OBFYBF5VCP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DJWCIPR4KDURPYD3OBFYBF5VCP","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":"49899a45522b4f5850355a4122f4b1bf8504e2bd676e40f85cc35156adc2abdd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T17:22:09Z","title_canon_sha256":"d347a7ed1d31711b72d4911a3c04f886b2d7f489b9629cca0b20285d865ac5fe"},"schema_version":"1.0","source":{"id":"2410.01767","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.01767","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"arxiv_version","alias_value":"2410.01767v2","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.01767","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_12","alias_value":"DJWCIPR4KDUR","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_16","alias_value":"DJWCIPR4KDURPYD3","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_8","alias_value":"DJWCIPR4","created_at":"2026-07-05T10:21:23Z"}],"graph_snapshots":[{"event_id":"sha256:8449f6c965ba4f7f61918ff8726d8285b24c486557581763ece27613c0b7e394","target":"graph","created_at":"2026-07-05T10:21:23Z","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/2410.01767/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Interest has been growing in decision-focused machine learning methods which train models to account for how their predictions are used in downstream optimization problems. Doing so can often improve performance on subsequent decision problems. However, current methods for uncertainty quantification do not incorporate any information about downstream decisions. We develop a methodology based on conformal prediction to identify prediction sets that account for a downstream cost function, making them more appropriate to inform high-stakes decision-making. Our approach harnesses the strengths of ","authors_text":"Bryan Wilder, Carlos Pati\\~no, Eric Horvitz, Santiago Cortes-Gomez, Steven Wu, Yewon Byun","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T17:22:09Z","title":"Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.01767","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:f58cdf5d25835210021ff36b5c9fd7fc440c9f217fabbdae22f61dae8800fb3c","target":"record","created_at":"2026-07-05T10:21:23Z","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":"49899a45522b4f5850355a4122f4b1bf8504e2bd676e40f85cc35156adc2abdd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-02T17:22:09Z","title_canon_sha256":"d347a7ed1d31711b72d4911a3c04f886b2d7f489b9629cca0b20285d865ac5fe"},"schema_version":"1.0","source":{"id":"2410.01767","kind":"arxiv","version":2}},"canonical_sha256":"1a6c243e3c50e917e07b704b8097b513dea9dd1d362aff1fe6871f151d637e2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1a6c243e3c50e917e07b704b8097b513dea9dd1d362aff1fe6871f151d637e2f","first_computed_at":"2026-07-05T10:21:23.782291Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:21:23.782291Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vMMrwfvdEeHiF4c910z8txd0ouSL6M9VJFik1QQa4yWvO0db/ptQIlEhHYLB+06aTU+kYX7AYHGHCtDEeD7+Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:21:23.782797Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.01767","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f58cdf5d25835210021ff36b5c9fd7fc440c9f217fabbdae22f61dae8800fb3c","sha256:8449f6c965ba4f7f61918ff8726d8285b24c486557581763ece27613c0b7e394"],"state_sha256":"884be9a38a3e1144d0f5ec22f70c9468f8fb50066457cdb9646115570a83c2a4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W8+SjG3bvFQeO1F+e6M23tTJr0V9l5UkPuINzWBBTfA6xJXQhbzH9+7ISzB7ifkfX7JVgq8aE6tZGD3hEpCtBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:30:58.217553Z","bundle_sha256":"1b201152532e8a6c42bba40537e8dc48e55f0b6c4f6bf539281cce7b51306ec4"}}