{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CSMOOQQRLPKTJKMZPCH6WMEBFH","short_pith_number":"pith:CSMOOQQR","canonical_record":{"source":{"id":"2503.16527","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-18T03:11:27Z","cross_cats_sorted":["cs.AI","cs.CY","cs.SI"],"title_canon_sha256":"49e80a3cb60ea334eee45f17d17f709f9403a1175db5ea93249655560ec7ab1e","abstract_canon_sha256":"4785a6df5e8272467839d462acdab22c5df0761a3b28a32a0c24a2bc3e3c5a3f"},"schema_version":"1.0"},"canonical_sha256":"1498e742115bd534a999788feb308129ec5a702b4863ec47747c7e8aa2a442de","source":{"kind":"arxiv","id":"2503.16527","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.16527","created_at":"2026-07-05T10:36:43Z"},{"alias_kind":"arxiv_version","alias_value":"2503.16527v1","created_at":"2026-07-05T10:36:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.16527","created_at":"2026-07-05T10:36:43Z"},{"alias_kind":"pith_short_12","alias_value":"CSMOOQQRLPKT","created_at":"2026-07-05T10:36:43Z"},{"alias_kind":"pith_short_16","alias_value":"CSMOOQQRLPKTJKMZ","created_at":"2026-07-05T10:36:43Z"},{"alias_kind":"pith_short_8","alias_value":"CSMOOQQR","created_at":"2026-07-05T10:36:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CSMOOQQRLPKTJKMZPCH6WMEBFH","target":"record","payload":{"canonical_record":{"source":{"id":"2503.16527","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-18T03:11:27Z","cross_cats_sorted":["cs.AI","cs.CY","cs.SI"],"title_canon_sha256":"49e80a3cb60ea334eee45f17d17f709f9403a1175db5ea93249655560ec7ab1e","abstract_canon_sha256":"4785a6df5e8272467839d462acdab22c5df0761a3b28a32a0c24a2bc3e3c5a3f"},"schema_version":"1.0"},"canonical_sha256":"1498e742115bd534a999788feb308129ec5a702b4863ec47747c7e8aa2a442de","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:36:43.080408Z","signature_b64":"Oob3UOIU75CjdA9q+RHLCrAK6/bz58CbqQ6nd3tDLc/Xw+Y0hDveSKTehvDwxnlZyqxFq80JU3MppaEUVAESBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1498e742115bd534a999788feb308129ec5a702b4863ec47747c7e8aa2a442de","last_reissued_at":"2026-07-05T10:36:43.079785Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:36:43.079785Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.16527","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:36:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HW+1jMLqKIIm3bNBKZSXZtDdw4yhc+p3cd8svu3vGv/fruXcXeAdJ0Ci7VmkNuTHFfIcDGlxksYb4lUrm9jWAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T16:32:35.325424Z"},"content_sha256":"ee112fa3b3483e9a66d8a19b8d9a5793d14868d9ff5b3f855fa278299fd1a296","schema_version":"1.0","event_id":"sha256:ee112fa3b3483e9a66d8a19b8d9a5793d14868d9ff5b3f855fa278299fd1a296"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CSMOOQQRLPKTJKMZPCH6WMEBFH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LLM Generated Persona is a Promise with a Catch","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY","cs.SI"],"primary_cat":"cs.CL","authors_text":"Ang Li, Haozhe Chen, Hongseok Namkoong, Tianyi Peng","submitted_at":"2025-03-18T03:11:27Z","abstract_excerpt":"The use of large language models (LLMs) to simulate human behavior has gained significant attention, particularly through personas that approximate individual characteristics. Persona-based simulations hold promise for transforming disciplines that rely on population-level feedback, including social science, economic analysis, marketing research, and business operations. Traditional methods to collect realistic persona data face significant challenges. They are prohibitively expensive and logistically challenging due to privacy constraints, and often fail to capture multi-dimensional attribute"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.16527","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/2503.16527/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":"2026-07-05T10:36:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"moBDj7IWQdjgGTKvWZAhfe3QdrbDpycN1zxGZws1+H+IsJCd7In/sbhFoXVOtNYiYEf5f242JY6+YqYH+UoADQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T16:32:35.326016Z"},"content_sha256":"cd224ac4f048ba8e5bfe08f3a0a8b621cfb3816c1733c201cf7b391cfdfd931a","schema_version":"1.0","event_id":"sha256:cd224ac4f048ba8e5bfe08f3a0a8b621cfb3816c1733c201cf7b391cfdfd931a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CSMOOQQRLPKTJKMZPCH6WMEBFH/bundle.json","state_url":"https://pith.science/pith/CSMOOQQRLPKTJKMZPCH6WMEBFH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CSMOOQQRLPKTJKMZPCH6WMEBFH/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":"2026-08-02T16:32:35Z","links":{"resolver":"https://pith.science/pith/CSMOOQQRLPKTJKMZPCH6WMEBFH","bundle":"https://pith.science/pith/CSMOOQQRLPKTJKMZPCH6WMEBFH/bundle.json","state":"https://pith.science/pith/CSMOOQQRLPKTJKMZPCH6WMEBFH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CSMOOQQRLPKTJKMZPCH6WMEBFH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CSMOOQQRLPKTJKMZPCH6WMEBFH","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":"4785a6df5e8272467839d462acdab22c5df0761a3b28a32a0c24a2bc3e3c5a3f","cross_cats_sorted":["cs.AI","cs.CY","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-18T03:11:27Z","title_canon_sha256":"49e80a3cb60ea334eee45f17d17f709f9403a1175db5ea93249655560ec7ab1e"},"schema_version":"1.0","source":{"id":"2503.16527","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.16527","created_at":"2026-07-05T10:36:43Z"},{"alias_kind":"arxiv_version","alias_value":"2503.16527v1","created_at":"2026-07-05T10:36:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.16527","created_at":"2026-07-05T10:36:43Z"},{"alias_kind":"pith_short_12","alias_value":"CSMOOQQRLPKT","created_at":"2026-07-05T10:36:43Z"},{"alias_kind":"pith_short_16","alias_value":"CSMOOQQRLPKTJKMZ","created_at":"2026-07-05T10:36:43Z"},{"alias_kind":"pith_short_8","alias_value":"CSMOOQQR","created_at":"2026-07-05T10:36:43Z"}],"graph_snapshots":[{"event_id":"sha256:cd224ac4f048ba8e5bfe08f3a0a8b621cfb3816c1733c201cf7b391cfdfd931a","target":"graph","created_at":"2026-07-05T10:36:43Z","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/2503.16527/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The use of large language models (LLMs) to simulate human behavior has gained significant attention, particularly through personas that approximate individual characteristics. Persona-based simulations hold promise for transforming disciplines that rely on population-level feedback, including social science, economic analysis, marketing research, and business operations. Traditional methods to collect realistic persona data face significant challenges. They are prohibitively expensive and logistically challenging due to privacy constraints, and often fail to capture multi-dimensional attribute","authors_text":"Ang Li, Haozhe Chen, Hongseok Namkoong, Tianyi Peng","cross_cats":["cs.AI","cs.CY","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-18T03:11:27Z","title":"LLM Generated Persona is a Promise with a Catch"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.16527","kind":"arxiv","version":1},"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:ee112fa3b3483e9a66d8a19b8d9a5793d14868d9ff5b3f855fa278299fd1a296","target":"record","created_at":"2026-07-05T10:36:43Z","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":"4785a6df5e8272467839d462acdab22c5df0761a3b28a32a0c24a2bc3e3c5a3f","cross_cats_sorted":["cs.AI","cs.CY","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-18T03:11:27Z","title_canon_sha256":"49e80a3cb60ea334eee45f17d17f709f9403a1175db5ea93249655560ec7ab1e"},"schema_version":"1.0","source":{"id":"2503.16527","kind":"arxiv","version":1}},"canonical_sha256":"1498e742115bd534a999788feb308129ec5a702b4863ec47747c7e8aa2a442de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1498e742115bd534a999788feb308129ec5a702b4863ec47747c7e8aa2a442de","first_computed_at":"2026-07-05T10:36:43.079785Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:43.079785Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Oob3UOIU75CjdA9q+RHLCrAK6/bz58CbqQ6nd3tDLc/Xw+Y0hDveSKTehvDwxnlZyqxFq80JU3MppaEUVAESBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:43.080408Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.16527","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee112fa3b3483e9a66d8a19b8d9a5793d14868d9ff5b3f855fa278299fd1a296","sha256:cd224ac4f048ba8e5bfe08f3a0a8b621cfb3816c1733c201cf7b391cfdfd931a"],"state_sha256":"562ab74489182fa53e741529500c9bbf413a5743cfdef9118ef5cf6a69b32bdd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uaT5tg5jJJlBPdt0p9vDcbWT9kuH6uvAcgZLN4qx7oJVU/dYOBhkzD2JbEXKZV1777JRbRzIs8d1VKRqS1DgCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T16:32:35.331264Z","bundle_sha256":"e60457d4b58a2a8fadf5031b3afbdfa4822a3f4b30f5e5b3c03df782e56a4340"}}