{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:73NXTGGJYHM44SCIHSCNJJALXW","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":"b3e6fd40aec1f0bb0263573ccf213a44be05bef5221de0f7f0586f89417d935c","cross_cats_sorted":["q-fin.EC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.GN","submitted_at":"2026-03-31T06:35:28Z","title_canon_sha256":"fb366db9a5ce73375630afdb640d183c3470c67348581c99d13d76d463413c58"},"schema_version":"1.0","source":{"id":"2603.29317","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.29317","created_at":"2026-06-01T01:02:38Z"},{"alias_kind":"arxiv_version","alias_value":"2603.29317v2","created_at":"2026-06-01T01:02:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.29317","created_at":"2026-06-01T01:02:38Z"},{"alias_kind":"pith_short_12","alias_value":"73NXTGGJYHM4","created_at":"2026-06-01T01:02:38Z"},{"alias_kind":"pith_short_16","alias_value":"73NXTGGJYHM44SCI","created_at":"2026-06-01T01:02:38Z"},{"alias_kind":"pith_short_8","alias_value":"73NXTGGJ","created_at":"2026-06-01T01:02:38Z"}],"graph_snapshots":[{"event_id":"sha256:b70fe5ec3eb52305ec89ee28295f6dd03e8cd8265e46ae5fad006bc87e0707f3","target":"graph","created_at":"2026-06-01T01:02:38Z","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/2603.29317/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As AI agents become more autonomous, properly aligning their objectives with human preferences becomes increasingly important. We study how effectively an AI agent learns a human principal's preference in choice under risk via stated versus revealed preferences. We conduct an online experiment in which subjects state their preferences through written instructions (\"prompts\") and reveal them through choices in a series of binary lottery questions (\"data\"). We find that on average, an AI agent given revealed-preference data predicts subjects' choices more accurately than an AI agent given stated","authors_text":"Keaton Ellis, Wanying Huang","cross_cats":["q-fin.EC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.GN","submitted_at":"2026-03-31T06:35:28Z","title":"Should I State or Should I Show? Aligning AI with Human Preferences"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.29317","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":"sha256:1a7edb0546b01c90c8b7dad07db72331b4b33c8f6cead8e728037af4573afd7f","target":"record","created_at":"2026-06-01T01:02:38Z","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":"b3e6fd40aec1f0bb0263573ccf213a44be05bef5221de0f7f0586f89417d935c","cross_cats_sorted":["q-fin.EC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"econ.GN","submitted_at":"2026-03-31T06:35:28Z","title_canon_sha256":"fb366db9a5ce73375630afdb640d183c3470c67348581c99d13d76d463413c58"},"schema_version":"1.0","source":{"id":"2603.29317","kind":"arxiv","version":2}},"canonical_sha256":"fedb7998c9c1d9ce48483c84d4a40bbda34f7840437cfe24c0e0e6b63cdb5a93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fedb7998c9c1d9ce48483c84d4a40bbda34f7840437cfe24c0e0e6b63cdb5a93","first_computed_at":"2026-06-01T01:02:38.864444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:02:38.864444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZcWFvj9tIgVRXoseAoDOiddwki0wMQb8mw5Yn1u2poX1nqEn+d4Egro8S5MUxiWzlfjLK0AyxqXzzHIwf6c2AQ==","signature_status":"signed_v1","signed_at":"2026-06-01T01:02:38.865511Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.29317","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a7edb0546b01c90c8b7dad07db72331b4b33c8f6cead8e728037af4573afd7f","sha256:b70fe5ec3eb52305ec89ee28295f6dd03e8cd8265e46ae5fad006bc87e0707f3"],"state_sha256":"fa415d871b939a09e6059efbd5ef453b336ac99423c5ac0e53bc2501d75e7f7b"}