{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:VWRNES4YCVA2L7YNXHY344OLOH","short_pith_number":"pith:VWRNES4Y","schema_version":"1.0","canonical_sha256":"ada2d24b981541a5ff0db9f1be71cb71f2f4b031eacaa0a50e7bf13d045b9204","source":{"kind":"arxiv","id":"2607.05552","version":1},"attestation_state":"computed","paper":{"title":"The yes-no bias of large language models reflects answer order and wording, not shifts in moral judgment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.CL","authors_text":"Haonan Huang","submitted_at":"2026-07-06T18:37:43Z","abstract_excerpt":"Large language models (LLMs) increasingly issue judgments read as binary verdicts, and a growing literature reports such judgments shifting under logically irrelevant changes of wording - among them an amplified yes-no bias on moral dilemmas, absent in humans. A single framing cannot say what such a shift is: in a yes/no question the word \"no\" is at once logical verdict, lexical token, and last-printed option. We introduce a psychometric battery that separates these: crossed symmetrization - every logically irrelevant factor flipped in balanced pairs - across a corpus of question forms. A grad"},"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":"2607.05552","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-06T18:37:43Z","cross_cats_sorted":["cs.AI","cs.CY"],"title_canon_sha256":"1ec9d9b4183846ebe3d49804608777bbb8a044feed10782c7b5a7436c75e5664","abstract_canon_sha256":"07cd55da91f9d785c858fe95df423e98d87070736f24d73c3bcb3898421ab78b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-08T01:18:37.014078Z","signature_b64":"Yrf9WXpuSYLX1KtFbFw6Ovk0gxaEcvLcZfDyhFtcHcisWVBBGrWzvsncsULu2TDAXHY696mYk9Pe9UcXsdgoBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ada2d24b981541a5ff0db9f1be71cb71f2f4b031eacaa0a50e7bf13d045b9204","last_reissued_at":"2026-07-08T01:18:37.013611Z","signature_status":"signed_v1","first_computed_at":"2026-07-08T01:18:37.013611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The yes-no bias of large language models reflects answer order and wording, not shifts in moral judgment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY"],"primary_cat":"cs.CL","authors_text":"Haonan Huang","submitted_at":"2026-07-06T18:37:43Z","abstract_excerpt":"Large language models (LLMs) increasingly issue judgments read as binary verdicts, and a growing literature reports such judgments shifting under logically irrelevant changes of wording - among them an amplified yes-no bias on moral dilemmas, absent in humans. A single framing cannot say what such a shift is: in a yes/no question the word \"no\" is at once logical verdict, lexical token, and last-printed option. We introduce a psychometric battery that separates these: crossed symmetrization - every logically irrelevant factor flipped in balanced pairs - across a corpus of question forms. A grad"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.05552","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/2607.05552/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":"2607.05552","created_at":"2026-07-08T01:18:37.013679+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.05552v1","created_at":"2026-07-08T01:18:37.013679+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.05552","created_at":"2026-07-08T01:18:37.013679+00:00"},{"alias_kind":"pith_short_12","alias_value":"VWRNES4YCVA2","created_at":"2026-07-08T01:18:37.013679+00:00"},{"alias_kind":"pith_short_16","alias_value":"VWRNES4YCVA2L7YN","created_at":"2026-07-08T01:18:37.013679+00:00"},{"alias_kind":"pith_short_8","alias_value":"VWRNES4Y","created_at":"2026-07-08T01:18:37.013679+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/VWRNES4YCVA2L7YNXHY344OLOH","json":"https://pith.science/pith/VWRNES4YCVA2L7YNXHY344OLOH.json","graph_json":"https://pith.science/api/pith-number/VWRNES4YCVA2L7YNXHY344OLOH/graph.json","events_json":"https://pith.science/api/pith-number/VWRNES4YCVA2L7YNXHY344OLOH/events.json","paper":"https://pith.science/paper/VWRNES4Y"},"agent_actions":{"view_html":"https://pith.science/pith/VWRNES4YCVA2L7YNXHY344OLOH","download_json":"https://pith.science/pith/VWRNES4YCVA2L7YNXHY344OLOH.json","view_paper":"https://pith.science/paper/VWRNES4Y","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.05552&json=true","fetch_graph":"https://pith.science/api/pith-number/VWRNES4YCVA2L7YNXHY344OLOH/graph.json","fetch_events":"https://pith.science/api/pith-number/VWRNES4YCVA2L7YNXHY344OLOH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VWRNES4YCVA2L7YNXHY344OLOH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VWRNES4YCVA2L7YNXHY344OLOH/action/storage_attestation","attest_author":"https://pith.science/pith/VWRNES4YCVA2L7YNXHY344OLOH/action/author_attestation","sign_citation":"https://pith.science/pith/VWRNES4YCVA2L7YNXHY344OLOH/action/citation_signature","submit_replication":"https://pith.science/pith/VWRNES4YCVA2L7YNXHY344OLOH/action/replication_record"}},"created_at":"2026-07-08T01:18:37.013679+00:00","updated_at":"2026-07-08T01:18:37.013679+00:00"}