{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MNWCDAEBFAYOFJGLMVHJEII4GK","short_pith_number":"pith:MNWCDAEB","canonical_record":{"source":{"id":"2401.13744","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-24T19:01:22Z","cross_cats_sorted":["cs.HC","stat.ML"],"title_canon_sha256":"c770680bf1e114ae066e3d0cbf1ec1dfa1a6193396bceeb4b729ebddfb381423","abstract_canon_sha256":"d8e9105f19a2c63134349a270f0f2a79be7bb5509d91331a72594eee187cc334"},"schema_version":"1.0"},"canonical_sha256":"636c2180812830e2a4cb654e92211c329abf2ab05a2fadc75e9e3a9c6258786f","source":{"kind":"arxiv","id":"2401.13744","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.13744","created_at":"2026-07-05T08:29:20Z"},{"alias_kind":"arxiv_version","alias_value":"2401.13744v3","created_at":"2026-07-05T08:29:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.13744","created_at":"2026-07-05T08:29:20Z"},{"alias_kind":"pith_short_12","alias_value":"MNWCDAEBFAYO","created_at":"2026-07-05T08:29:20Z"},{"alias_kind":"pith_short_16","alias_value":"MNWCDAEBFAYOFJGL","created_at":"2026-07-05T08:29:20Z"},{"alias_kind":"pith_short_8","alias_value":"MNWCDAEB","created_at":"2026-07-05T08:29:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MNWCDAEBFAYOFJGLMVHJEII4GK","target":"record","payload":{"canonical_record":{"source":{"id":"2401.13744","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-24T19:01:22Z","cross_cats_sorted":["cs.HC","stat.ML"],"title_canon_sha256":"c770680bf1e114ae066e3d0cbf1ec1dfa1a6193396bceeb4b729ebddfb381423","abstract_canon_sha256":"d8e9105f19a2c63134349a270f0f2a79be7bb5509d91331a72594eee187cc334"},"schema_version":"1.0"},"canonical_sha256":"636c2180812830e2a4cb654e92211c329abf2ab05a2fadc75e9e3a9c6258786f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:29:20.710489Z","signature_b64":"pVvXSBxTZCw3CKWQ23zRVm0bF6ZIisIbBwNTrBB2PBvMVIAFRDhyZkglHq1osopxqaf8xP7dSdP67XrbLHlaBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"636c2180812830e2a4cb654e92211c329abf2ab05a2fadc75e9e3a9c6258786f","last_reissued_at":"2026-07-05T08:29:20.709916Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:29:20.709916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.13744","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":"2026-07-05T08:29:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t8MCeTF1GdZhdQ3JoekPgM/4x8z9NRfWNqsNggrihqD1l1K4+nMOEcPKT6gRHy1f9B4r/L9HvI65RDG3dphbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:48:59.620188Z"},"content_sha256":"1f52592bc0268671ac93309fc5c2490746cdebc9dba4facdeefcffa6d617f034","schema_version":"1.0","event_id":"sha256:1f52592bc0268671ac93309fc5c2490746cdebc9dba4facdeefcffa6d617f034"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MNWCDAEBFAYOFJGLMVHJEII4GK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conformal Prediction Sets Improve Human Decision Making","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC","stat.ML"],"primary_cat":"cs.LG","authors_text":"Bhargava Kumar, Jesse C. Cresswell, No\\\"el Vouitsis, Yi Sui","submitted_at":"2024-01-24T19:01:22Z","abstract_excerpt":"In response to everyday queries, humans explicitly signal uncertainty and offer alternative answers when they are unsure. Machine learning models that output calibrated prediction sets through conformal prediction mimic this human behaviour; larger sets signal greater uncertainty while providing alternatives. In this work, we study the usefulness of conformal prediction sets as an aid for human decision making by conducting a pre-registered randomized controlled trial with conformal prediction sets provided to human subjects. With statistical significance, we find that when humans are given co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.13744","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/2401.13744/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":"2026-07-05T08:29:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MkeD6zz165oepsIe31MP2duZFuVCdQRYL4oX7vPFS3GMwnKzDzeq7XWDERGH8R0lBqFKNZGUKp/+tsmwehIECg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:48:59.621170Z"},"content_sha256":"34317230b301f550dfd41c22d226dac035609f7ccebf6fbf05e8ea7dd32fea5f","schema_version":"1.0","event_id":"sha256:34317230b301f550dfd41c22d226dac035609f7ccebf6fbf05e8ea7dd32fea5f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MNWCDAEBFAYOFJGLMVHJEII4GK/bundle.json","state_url":"https://pith.science/pith/MNWCDAEBFAYOFJGLMVHJEII4GK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MNWCDAEBFAYOFJGLMVHJEII4GK/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":"2026-08-08T14:48:59Z","links":{"resolver":"https://pith.science/pith/MNWCDAEBFAYOFJGLMVHJEII4GK","bundle":"https://pith.science/pith/MNWCDAEBFAYOFJGLMVHJEII4GK/bundle.json","state":"https://pith.science/pith/MNWCDAEBFAYOFJGLMVHJEII4GK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MNWCDAEBFAYOFJGLMVHJEII4GK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MNWCDAEBFAYOFJGLMVHJEII4GK","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":"d8e9105f19a2c63134349a270f0f2a79be7bb5509d91331a72594eee187cc334","cross_cats_sorted":["cs.HC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-24T19:01:22Z","title_canon_sha256":"c770680bf1e114ae066e3d0cbf1ec1dfa1a6193396bceeb4b729ebddfb381423"},"schema_version":"1.0","source":{"id":"2401.13744","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.13744","created_at":"2026-07-05T08:29:20Z"},{"alias_kind":"arxiv_version","alias_value":"2401.13744v3","created_at":"2026-07-05T08:29:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.13744","created_at":"2026-07-05T08:29:20Z"},{"alias_kind":"pith_short_12","alias_value":"MNWCDAEBFAYO","created_at":"2026-07-05T08:29:20Z"},{"alias_kind":"pith_short_16","alias_value":"MNWCDAEBFAYOFJGL","created_at":"2026-07-05T08:29:20Z"},{"alias_kind":"pith_short_8","alias_value":"MNWCDAEB","created_at":"2026-07-05T08:29:20Z"}],"graph_snapshots":[{"event_id":"sha256:34317230b301f550dfd41c22d226dac035609f7ccebf6fbf05e8ea7dd32fea5f","target":"graph","created_at":"2026-07-05T08:29:20Z","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/2401.13744/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In response to everyday queries, humans explicitly signal uncertainty and offer alternative answers when they are unsure. Machine learning models that output calibrated prediction sets through conformal prediction mimic this human behaviour; larger sets signal greater uncertainty while providing alternatives. In this work, we study the usefulness of conformal prediction sets as an aid for human decision making by conducting a pre-registered randomized controlled trial with conformal prediction sets provided to human subjects. With statistical significance, we find that when humans are given co","authors_text":"Bhargava Kumar, Jesse C. Cresswell, No\\\"el Vouitsis, Yi Sui","cross_cats":["cs.HC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-24T19:01:22Z","title":"Conformal Prediction Sets Improve Human Decision Making"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.13744","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":"sha256:1f52592bc0268671ac93309fc5c2490746cdebc9dba4facdeefcffa6d617f034","target":"record","created_at":"2026-07-05T08:29:20Z","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":"d8e9105f19a2c63134349a270f0f2a79be7bb5509d91331a72594eee187cc334","cross_cats_sorted":["cs.HC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-24T19:01:22Z","title_canon_sha256":"c770680bf1e114ae066e3d0cbf1ec1dfa1a6193396bceeb4b729ebddfb381423"},"schema_version":"1.0","source":{"id":"2401.13744","kind":"arxiv","version":3}},"canonical_sha256":"636c2180812830e2a4cb654e92211c329abf2ab05a2fadc75e9e3a9c6258786f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"636c2180812830e2a4cb654e92211c329abf2ab05a2fadc75e9e3a9c6258786f","first_computed_at":"2026-07-05T08:29:20.709916Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:29:20.709916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pVvXSBxTZCw3CKWQ23zRVm0bF6ZIisIbBwNTrBB2PBvMVIAFRDhyZkglHq1osopxqaf8xP7dSdP67XrbLHlaBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:29:20.710489Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.13744","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f52592bc0268671ac93309fc5c2490746cdebc9dba4facdeefcffa6d617f034","sha256:34317230b301f550dfd41c22d226dac035609f7ccebf6fbf05e8ea7dd32fea5f"],"state_sha256":"5d822f0c1430a81c90946b60128e80e55c21a2bd79a8ea76330c6dd379c597a8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JJ30nO2VLeL4fQpaSjW0xhb1MOLdmTLfVMAC4h3c4UPJ0e/2wFfiCroBc712FeGaZOgYSRR01iiXmSC9XGIQCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T14:48:59.628828Z","bundle_sha256":"eeb5ae86b3838bfe9a41ad75f2600ccbcb846687d305717568a405798cd22e28"}}