{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ANT6FQWMSBW3HOHXPZGLW6MBVN","short_pith_number":"pith:ANT6FQWM","canonical_record":{"source":{"id":"2509.04445","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-04T17:59:29Z","cross_cats_sorted":[],"title_canon_sha256":"e1f496743d9d671ab17bd72c7358e84c8fcbe0799e4f54459b2142f52c97ece0","abstract_canon_sha256":"61024a0da492d1c1fa6c7629df5f63ead797b0a33c3d2347e41d837a2f4f4178"},"schema_version":"1.0"},"canonical_sha256":"0367e2c2cc906db3b8f77e4cbb7981ab625e61261998d6d632bf65a989c7de7d","source":{"kind":"arxiv","id":"2509.04445","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04445","created_at":"2026-05-26T02:03:54Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04445v2","created_at":"2026-05-26T02:03:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04445","created_at":"2026-05-26T02:03:54Z"},{"alias_kind":"pith_short_12","alias_value":"ANT6FQWMSBW3","created_at":"2026-05-26T02:03:54Z"},{"alias_kind":"pith_short_16","alias_value":"ANT6FQWMSBW3HOHX","created_at":"2026-05-26T02:03:54Z"},{"alias_kind":"pith_short_8","alias_value":"ANT6FQWM","created_at":"2026-05-26T02:03:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ANT6FQWMSBW3HOHXPZGLW6MBVN","target":"record","payload":{"canonical_record":{"source":{"id":"2509.04445","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-04T17:59:29Z","cross_cats_sorted":[],"title_canon_sha256":"e1f496743d9d671ab17bd72c7358e84c8fcbe0799e4f54459b2142f52c97ece0","abstract_canon_sha256":"61024a0da492d1c1fa6c7629df5f63ead797b0a33c3d2347e41d837a2f4f4178"},"schema_version":"1.0"},"canonical_sha256":"0367e2c2cc906db3b8f77e4cbb7981ab625e61261998d6d632bf65a989c7de7d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:03:54.512348Z","signature_b64":"5WYM7DHBu+b5CKYnNVKNlQqp2qT7JjcHT4nV8Z8pOd69KIPI5v3PUWPv2hojNJgfB1KJgSbO2HNOljUI+nqACA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0367e2c2cc906db3b8f77e4cbb7981ab625e61261998d6d632bf65a989c7de7d","last_reissued_at":"2026-05-26T02:03:54.511369Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:03:54.511369Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.04445","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":"2026-05-26T02:03:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uyumt46HJg/44Ris89E6uvcQTRgnCCB1PLsrXwIXGYcJfuGb/a0EjR60roq0Yo+PTgLmhaoyz38SKbeUttkDBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T23:00:08.512252Z"},"content_sha256":"e5178e35ad6ff50637e3bc7fdb873f4b84a6fa2dee3bd20d1cdbbbf799d71802","schema_version":"1.0","event_id":"sha256:e5178e35ad6ff50637e3bc7fdb873f4b84a6fa2dee3bd20d1cdbbbf799d71802"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ANT6FQWMSBW3HOHXPZGLW6MBVN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Cyrus Cousins, Hoda Heidari, Jana Schaich Borg, Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong","submitted_at":"2025-09-04T17:59:29Z","abstract_excerpt":"Recent AI trends seek to align AI models to learned human-centric objectives, such as personal preferences, utility, or societal values. Using standard preference elicitation methods, researchers and practitioners build models of human decisions and judgments, to which AI models are aligned. However, standard elicitation methods often fail to capture the cognitive processes behind human decision making, such as heuristics or simplifying structured thought patterns. To address this failure, we take an axiomatic approach to learning cognitively faithful decision processes from pairwise compariso"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04445","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/2509.04445/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":"2026-05-26T02:03:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4KbLsZ5/5Alq6qS5uEtj0ZRhN7IyvmHJ14gklmQhy0RXSKJQ0Aes4pn9/Q9uOofBrutjp8P5k/UvJ8KbLiP8Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T23:00:08.513046Z"},"content_sha256":"ce3d61935c1544c91bf0c823ea11024c1c34b1103541469e7db81d700da7b5eb","schema_version":"1.0","event_id":"sha256:ce3d61935c1544c91bf0c823ea11024c1c34b1103541469e7db81d700da7b5eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ANT6FQWMSBW3HOHXPZGLW6MBVN/bundle.json","state_url":"https://pith.science/pith/ANT6FQWMSBW3HOHXPZGLW6MBVN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ANT6FQWMSBW3HOHXPZGLW6MBVN/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":"2026-06-10T23:00:08Z","links":{"resolver":"https://pith.science/pith/ANT6FQWMSBW3HOHXPZGLW6MBVN","bundle":"https://pith.science/pith/ANT6FQWMSBW3HOHXPZGLW6MBVN/bundle.json","state":"https://pith.science/pith/ANT6FQWMSBW3HOHXPZGLW6MBVN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ANT6FQWMSBW3HOHXPZGLW6MBVN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ANT6FQWMSBW3HOHXPZGLW6MBVN","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":"61024a0da492d1c1fa6c7629df5f63ead797b0a33c3d2347e41d837a2f4f4178","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-04T17:59:29Z","title_canon_sha256":"e1f496743d9d671ab17bd72c7358e84c8fcbe0799e4f54459b2142f52c97ece0"},"schema_version":"1.0","source":{"id":"2509.04445","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04445","created_at":"2026-05-26T02:03:54Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04445v2","created_at":"2026-05-26T02:03:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04445","created_at":"2026-05-26T02:03:54Z"},{"alias_kind":"pith_short_12","alias_value":"ANT6FQWMSBW3","created_at":"2026-05-26T02:03:54Z"},{"alias_kind":"pith_short_16","alias_value":"ANT6FQWMSBW3HOHX","created_at":"2026-05-26T02:03:54Z"},{"alias_kind":"pith_short_8","alias_value":"ANT6FQWM","created_at":"2026-05-26T02:03:54Z"}],"graph_snapshots":[{"event_id":"sha256:ce3d61935c1544c91bf0c823ea11024c1c34b1103541469e7db81d700da7b5eb","target":"graph","created_at":"2026-05-26T02:03:54Z","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/2509.04445/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent AI trends seek to align AI models to learned human-centric objectives, such as personal preferences, utility, or societal values. Using standard preference elicitation methods, researchers and practitioners build models of human decisions and judgments, to which AI models are aligned. However, standard elicitation methods often fail to capture the cognitive processes behind human decision making, such as heuristics or simplifying structured thought patterns. To address this failure, we take an axiomatic approach to learning cognitively faithful decision processes from pairwise compariso","authors_text":"Cyrus Cousins, Hoda Heidari, Jana Schaich Borg, Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-04T17:59:29Z","title":"Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04445","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:e5178e35ad6ff50637e3bc7fdb873f4b84a6fa2dee3bd20d1cdbbbf799d71802","target":"record","created_at":"2026-05-26T02:03:54Z","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":"61024a0da492d1c1fa6c7629df5f63ead797b0a33c3d2347e41d837a2f4f4178","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-04T17:59:29Z","title_canon_sha256":"e1f496743d9d671ab17bd72c7358e84c8fcbe0799e4f54459b2142f52c97ece0"},"schema_version":"1.0","source":{"id":"2509.04445","kind":"arxiv","version":2}},"canonical_sha256":"0367e2c2cc906db3b8f77e4cbb7981ab625e61261998d6d632bf65a989c7de7d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0367e2c2cc906db3b8f77e4cbb7981ab625e61261998d6d632bf65a989c7de7d","first_computed_at":"2026-05-26T02:03:54.511369Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:03:54.511369Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5WYM7DHBu+b5CKYnNVKNlQqp2qT7JjcHT4nV8Z8pOd69KIPI5v3PUWPv2hojNJgfB1KJgSbO2HNOljUI+nqACA==","signature_status":"signed_v1","signed_at":"2026-05-26T02:03:54.512348Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.04445","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e5178e35ad6ff50637e3bc7fdb873f4b84a6fa2dee3bd20d1cdbbbf799d71802","sha256:ce3d61935c1544c91bf0c823ea11024c1c34b1103541469e7db81d700da7b5eb"],"state_sha256":"890bf6de6ed5b90342a5549f864f10c3368e848365ebb6e40f72141874e21f33"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SBei/Xi28lLonPGXDwb+7BDuzFp6Z6z5aTPWbbcHmxm8SCRbwNLgBlhYi71LyF8xfOFg6O3GUD7Cj6t6G8fMAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T23:00:08.517139Z","bundle_sha256":"c36edd23ab118633b170005d6a154d02b323e2526ed2625263838654fa47c942"}}