{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UYREYUQ2AWHPQQ6EL7CZ4YL7AR","short_pith_number":"pith:UYREYUQ2","canonical_record":{"source":{"id":"2406.17232","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-25T02:37:29Z","cross_cats_sorted":[],"title_canon_sha256":"0450b9e4bf8ee74075d1464cadff1b1803cc7e352b1a5bedebe8f798df7ee8ee","abstract_canon_sha256":"0238b6042914df7174d90f6f66eb2638f43b88a004f862438f36b01fc2c279f3"},"schema_version":"1.0"},"canonical_sha256":"a6224c521a058ef843c45fc59e617f0476a54c82c23b15c92d7da61f2d0f8a95","source":{"kind":"arxiv","id":"2406.17232","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17232","created_at":"2026-07-05T09:21:05Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17232v2","created_at":"2026-07-05T09:21:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17232","created_at":"2026-07-05T09:21:05Z"},{"alias_kind":"pith_short_12","alias_value":"UYREYUQ2AWHP","created_at":"2026-07-05T09:21:05Z"},{"alias_kind":"pith_short_16","alias_value":"UYREYUQ2AWHPQQ6E","created_at":"2026-07-05T09:21:05Z"},{"alias_kind":"pith_short_8","alias_value":"UYREYUQ2","created_at":"2026-07-05T09:21:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UYREYUQ2AWHPQQ6EL7CZ4YL7AR","target":"record","payload":{"canonical_record":{"source":{"id":"2406.17232","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-25T02:37:29Z","cross_cats_sorted":[],"title_canon_sha256":"0450b9e4bf8ee74075d1464cadff1b1803cc7e352b1a5bedebe8f798df7ee8ee","abstract_canon_sha256":"0238b6042914df7174d90f6f66eb2638f43b88a004f862438f36b01fc2c279f3"},"schema_version":"1.0"},"canonical_sha256":"a6224c521a058ef843c45fc59e617f0476a54c82c23b15c92d7da61f2d0f8a95","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:21:05.841412Z","signature_b64":"qhmeDD57ygfQVejH2gMXemhCOblTZhbFucy3ePv+07UYYPe+B6tqWlW69GTfrPtMyBkFPEdCVJda2H7sGqTOAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6224c521a058ef843c45fc59e617f0476a54c82c23b15c92d7da61f2d0f8a95","last_reissued_at":"2026-07-05T09:21:05.840930Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:21:05.840930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.17232","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":"2026-07-05T09:21:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f9+3uzv0S5jnCuNVKNUIf94PwBN9KFNftwjaTl9IpRieSaTwUOwMDV8K8fsze9tZFckdYZyL+xwCCG0pEjMaAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:11:07.375008Z"},"content_sha256":"392a74734c0e3a8da90cfbf86d1160ea63f40efa3e92d2b4c7578af5c8aaeb39","schema_version":"1.0","event_id":"sha256:392a74734c0e3a8da90cfbf86d1160ea63f40efa3e92d2b4c7578af5c8aaeb39"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UYREYUQ2AWHPQQ6EL7CZ4YL7AR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Agam Goyal, Dhavan Shah, Junjie Hu, Krirk Nirunwiroj, Sijia Yang, Timothy T. Rogers, Vincent V. Frigo, Yun-Shiuan Chuang, Zach Studdiford","submitted_at":"2024-06-25T02:37:29Z","abstract_excerpt":"Creating human-like large language model (LLM) agents is crucial for faithful social simulation. Having LLMs role-play based on demographic information sometimes improves human likeness but often does not. This study assessed whether LLM alignment with human behavior can be improved by integrating information from empirically-derived human belief networks. Using data from a human survey, we estimated a belief network encompassing 64 topics loading on nine non-overlapping latent factors. We then seeded LLM-based agents with an opinion on one topic, and assessed the alignment of its expressed op"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17232","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/2406.17232/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":"2026-07-05T09:21:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1yudT7+WWXiZpr67iEhs3LtLGiW2CbKew/xB2cDCv+p2WDTFyF3tWgJUHASYxHM6+O1SLstIIVU5jx9wx2CuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:11:07.375941Z"},"content_sha256":"281e4e7451c9221940c31f553b546b78255e259c312fea1f898e44c259e5a1c9","schema_version":"1.0","event_id":"sha256:281e4e7451c9221940c31f553b546b78255e259c312fea1f898e44c259e5a1c9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UYREYUQ2AWHPQQ6EL7CZ4YL7AR/bundle.json","state_url":"https://pith.science/pith/UYREYUQ2AWHPQQ6EL7CZ4YL7AR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UYREYUQ2AWHPQQ6EL7CZ4YL7AR/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":"2026-08-10T08:11:07Z","links":{"resolver":"https://pith.science/pith/UYREYUQ2AWHPQQ6EL7CZ4YL7AR","bundle":"https://pith.science/pith/UYREYUQ2AWHPQQ6EL7CZ4YL7AR/bundle.json","state":"https://pith.science/pith/UYREYUQ2AWHPQQ6EL7CZ4YL7AR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UYREYUQ2AWHPQQ6EL7CZ4YL7AR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UYREYUQ2AWHPQQ6EL7CZ4YL7AR","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":"0238b6042914df7174d90f6f66eb2638f43b88a004f862438f36b01fc2c279f3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-25T02:37:29Z","title_canon_sha256":"0450b9e4bf8ee74075d1464cadff1b1803cc7e352b1a5bedebe8f798df7ee8ee"},"schema_version":"1.0","source":{"id":"2406.17232","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17232","created_at":"2026-07-05T09:21:05Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17232v2","created_at":"2026-07-05T09:21:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17232","created_at":"2026-07-05T09:21:05Z"},{"alias_kind":"pith_short_12","alias_value":"UYREYUQ2AWHP","created_at":"2026-07-05T09:21:05Z"},{"alias_kind":"pith_short_16","alias_value":"UYREYUQ2AWHPQQ6E","created_at":"2026-07-05T09:21:05Z"},{"alias_kind":"pith_short_8","alias_value":"UYREYUQ2","created_at":"2026-07-05T09:21:05Z"}],"graph_snapshots":[{"event_id":"sha256:281e4e7451c9221940c31f553b546b78255e259c312fea1f898e44c259e5a1c9","target":"graph","created_at":"2026-07-05T09:21:05Z","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/2406.17232/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Creating human-like large language model (LLM) agents is crucial for faithful social simulation. Having LLMs role-play based on demographic information sometimes improves human likeness but often does not. This study assessed whether LLM alignment with human behavior can be improved by integrating information from empirically-derived human belief networks. Using data from a human survey, we estimated a belief network encompassing 64 topics loading on nine non-overlapping latent factors. We then seeded LLM-based agents with an opinion on one topic, and assessed the alignment of its expressed op","authors_text":"Agam Goyal, Dhavan Shah, Junjie Hu, Krirk Nirunwiroj, Sijia Yang, Timothy T. Rogers, Vincent V. Frigo, Yun-Shiuan Chuang, Zach Studdiford","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-25T02:37:29Z","title":"Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17232","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":"sha256:392a74734c0e3a8da90cfbf86d1160ea63f40efa3e92d2b4c7578af5c8aaeb39","target":"record","created_at":"2026-07-05T09:21:05Z","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":"0238b6042914df7174d90f6f66eb2638f43b88a004f862438f36b01fc2c279f3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-25T02:37:29Z","title_canon_sha256":"0450b9e4bf8ee74075d1464cadff1b1803cc7e352b1a5bedebe8f798df7ee8ee"},"schema_version":"1.0","source":{"id":"2406.17232","kind":"arxiv","version":2}},"canonical_sha256":"a6224c521a058ef843c45fc59e617f0476a54c82c23b15c92d7da61f2d0f8a95","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6224c521a058ef843c45fc59e617f0476a54c82c23b15c92d7da61f2d0f8a95","first_computed_at":"2026-07-05T09:21:05.840930Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:21:05.840930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qhmeDD57ygfQVejH2gMXemhCOblTZhbFucy3ePv+07UYYPe+B6tqWlW69GTfrPtMyBkFPEdCVJda2H7sGqTOAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:21:05.841412Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.17232","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:392a74734c0e3a8da90cfbf86d1160ea63f40efa3e92d2b4c7578af5c8aaeb39","sha256:281e4e7451c9221940c31f553b546b78255e259c312fea1f898e44c259e5a1c9"],"state_sha256":"ab24de237df1cb02c67ee78ea0a7a129fc8bb6c96cdcad120b887a1a434060f3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xWvYLkWoo5ZYRoFMTT3iUIeDtz87/wpVThDzCT/diRRlMZV5yKdp36tUuiC2/6oZJyHMTizjnmVrKFtvKbPkBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T08:11:07.382230Z","bundle_sha256":"ac156bf6e8ceea67c7040b87e20409b249802b9595e35b52fbd178b1fece3a10"}}