{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:Q7FYNG36ILG7IM3PJ737ZXT63W","short_pith_number":"pith:Q7FYNG36","schema_version":"1.0","canonical_sha256":"87cb869b7e42cdf4336f4ff7fcde7edd905de489dd95e71e123228a9bdb8aae1","source":{"kind":"arxiv","id":"2605.28571","version":1},"attestation_state":"computed","paper":{"title":"Not All Uncertainty Is Equal: How Uncertainty Granularity Shapes Human Verification in LLM-Assisted Decision Making","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Mauricio Villavicencio, Qianwen Wang, Sitong Pan","submitted_at":"2026-05-27T14:56:23Z","abstract_excerpt":"Despite warnings that LLMs can make mistakes, users often develop inappropriate trust and accept incorrect answers without critical evaluation. Uncertainty quantification (UQ), displaying LLMs' confidence, has emerged as a promising approach to calibrate user trust. However, prior empirical studies on uncertainty communication have treated uncertainty as a single numerical score or simple natural language expression. This simplification fails to capture a key property of LLM outputs: a single response often comprises multiple claims and reasoning steps, each with distinct levels of uncertainty"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.28571","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-27T14:56:23Z","cross_cats_sorted":[],"title_canon_sha256":"4e2ac0e23516825f89f4ffa3372f684f4eaa31e3d59378f642921d3f4cdcc2a0","abstract_canon_sha256":"c56a14c5f89233e45e207e18a9d81d79f4dc5bd42009e83b74074348f3b12e6e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T02:04:56.677941Z","signature_b64":"06+VccvzwOjtJMP/IZx7choGrNRTMg13xQN8G7ZzCHywI6BcwneCH3Yq66RpbGiv6K2tqkRYibKB6k5l1G7yCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87cb869b7e42cdf4336f4ff7fcde7edd905de489dd95e71e123228a9bdb8aae1","last_reissued_at":"2026-05-28T02:04:56.677531Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T02:04:56.677531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Not All Uncertainty Is Equal: How Uncertainty Granularity Shapes Human Verification in LLM-Assisted Decision Making","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Mauricio Villavicencio, Qianwen Wang, Sitong Pan","submitted_at":"2026-05-27T14:56:23Z","abstract_excerpt":"Despite warnings that LLMs can make mistakes, users often develop inappropriate trust and accept incorrect answers without critical evaluation. Uncertainty quantification (UQ), displaying LLMs' confidence, has emerged as a promising approach to calibrate user trust. However, prior empirical studies on uncertainty communication have treated uncertainty as a single numerical score or simple natural language expression. This simplification fails to capture a key property of LLM outputs: a single response often comprises multiple claims and reasoning steps, each with distinct levels of uncertainty"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28571","kind":"arxiv","version":1},"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/2605.28571/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.28571","created_at":"2026-05-28T02:04:56.677593+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.28571v1","created_at":"2026-05-28T02:04:56.677593+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28571","created_at":"2026-05-28T02:04:56.677593+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q7FYNG36ILG7","created_at":"2026-05-28T02:04:56.677593+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q7FYNG36ILG7IM3P","created_at":"2026-05-28T02:04:56.677593+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q7FYNG36","created_at":"2026-05-28T02:04:56.677593+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q7FYNG36ILG7IM3PJ737ZXT63W","json":"https://pith.science/pith/Q7FYNG36ILG7IM3PJ737ZXT63W.json","graph_json":"https://pith.science/api/pith-number/Q7FYNG36ILG7IM3PJ737ZXT63W/graph.json","events_json":"https://pith.science/api/pith-number/Q7FYNG36ILG7IM3PJ737ZXT63W/events.json","paper":"https://pith.science/paper/Q7FYNG36"},"agent_actions":{"view_html":"https://pith.science/pith/Q7FYNG36ILG7IM3PJ737ZXT63W","download_json":"https://pith.science/pith/Q7FYNG36ILG7IM3PJ737ZXT63W.json","view_paper":"https://pith.science/paper/Q7FYNG36","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.28571&json=true","fetch_graph":"https://pith.science/api/pith-number/Q7FYNG36ILG7IM3PJ737ZXT63W/graph.json","fetch_events":"https://pith.science/api/pith-number/Q7FYNG36ILG7IM3PJ737ZXT63W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q7FYNG36ILG7IM3PJ737ZXT63W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q7FYNG36ILG7IM3PJ737ZXT63W/action/storage_attestation","attest_author":"https://pith.science/pith/Q7FYNG36ILG7IM3PJ737ZXT63W/action/author_attestation","sign_citation":"https://pith.science/pith/Q7FYNG36ILG7IM3PJ737ZXT63W/action/citation_signature","submit_replication":"https://pith.science/pith/Q7FYNG36ILG7IM3PJ737ZXT63W/action/replication_record"}},"created_at":"2026-05-28T02:04:56.677593+00:00","updated_at":"2026-05-28T02:04:56.677593+00:00"}