{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SCRI4GRIQRSDLXSIC7CPEA65B7","short_pith_number":"pith:SCRI4GRI","canonical_record":{"source":{"id":"2502.05248","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-07T16:12:52Z","cross_cats_sorted":["cs.AI","cs.MA"],"title_canon_sha256":"97fc28f191b007189868bbde2ef38ddf92ec1b3b766907fab9bb9a9a678f7a62","abstract_canon_sha256":"62f4c0c4e12930ab6ce060cb7c04393b334d0828a8265d200a66f0bcaa725d56"},"schema_version":"1.0"},"canonical_sha256":"90a28e1a28846435de4817c4f203dd0fea97de2e6ebc975e630de351d9b79737","source":{"kind":"arxiv","id":"2502.05248","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05248","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05248v1","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05248","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_12","alias_value":"SCRI4GRIQRSD","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_16","alias_value":"SCRI4GRIQRSDLXSI","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_8","alias_value":"SCRI4GRI","created_at":"2026-07-05T10:11:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SCRI4GRIQRSDLXSIC7CPEA65B7","target":"record","payload":{"canonical_record":{"source":{"id":"2502.05248","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-07T16:12:52Z","cross_cats_sorted":["cs.AI","cs.MA"],"title_canon_sha256":"97fc28f191b007189868bbde2ef38ddf92ec1b3b766907fab9bb9a9a678f7a62","abstract_canon_sha256":"62f4c0c4e12930ab6ce060cb7c04393b334d0828a8265d200a66f0bcaa725d56"},"schema_version":"1.0"},"canonical_sha256":"90a28e1a28846435de4817c4f203dd0fea97de2e6ebc975e630de351d9b79737","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:11:34.827370Z","signature_b64":"9LIGR04BjykEO+K1hRhugWk/hsNWFRIDzOcnJ1N6HFIq6hXXYmrpc+6IQ6+5JnvJ9cWvk/xs5BI6knMTbU0XBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"90a28e1a28846435de4817c4f203dd0fea97de2e6ebc975e630de351d9b79737","last_reissued_at":"2026-07-05T10:11:34.826858Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:11:34.826858Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.05248","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":"2026-07-05T10:11:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g4jC26nYZ4WmqpocTcNzwa+7bBp5zPgHtWdF5Q9NFczAWKv31VpnW2zAk3fq9eqgf2C7ei7RduygfK4GduaqDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T05:42:18.354975Z"},"content_sha256":"f8d69028ae332866b63e22210c08966a1e07d06716c42b69519125a8744c3d90","schema_version":"1.0","event_id":"sha256:f8d69028ae332866b63e22210c08966a1e07d06716c42b69519125a8744c3d90"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SCRI4GRIQRSDLXSIC7CPEA65B7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluating Personality Traits in Large Language Models: Insights from Psychological Questionnaires","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.MA"],"primary_cat":"cs.CL","authors_text":"Amitava Datta, Mehwish Nasim, Nicolas Fay, Pranav Bhandari, Usman Naseem","submitted_at":"2025-02-07T16:12:52Z","abstract_excerpt":"Psychological assessment tools have long helped humans understand behavioural patterns. While Large Language Models (LLMs) can generate content comparable to that of humans, we explore whether they exhibit personality traits. To this end, this work applies psychological tools to LLMs in diverse scenarios to generate personality profiles. Using established trait-based questionnaires such as the Big Five Inventory and by addressing the possibility of training data contamination, we examine the dimensional variability and dominance of LLMs across five core personality dimensions: Openness, Consci"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05248","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/2502.05248/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":"2026-07-05T10:11:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1PuCNEbnqFMx2jbQVX2ktyVdjwPeGsWqPoXPr2QG319oob4Hs1iTsf4YuAOOIIxC9x/INZqpZiBS3CVEX22KDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T05:42:18.355391Z"},"content_sha256":"4b418093f9f80380a40bd56cacdab93dd970bd67d6bc4defad958cfab000e806","schema_version":"1.0","event_id":"sha256:4b418093f9f80380a40bd56cacdab93dd970bd67d6bc4defad958cfab000e806"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SCRI4GRIQRSDLXSIC7CPEA65B7/bundle.json","state_url":"https://pith.science/pith/SCRI4GRIQRSDLXSIC7CPEA65B7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SCRI4GRIQRSDLXSIC7CPEA65B7/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":"2026-07-06T05:42:18Z","links":{"resolver":"https://pith.science/pith/SCRI4GRIQRSDLXSIC7CPEA65B7","bundle":"https://pith.science/pith/SCRI4GRIQRSDLXSIC7CPEA65B7/bundle.json","state":"https://pith.science/pith/SCRI4GRIQRSDLXSIC7CPEA65B7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SCRI4GRIQRSDLXSIC7CPEA65B7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SCRI4GRIQRSDLXSIC7CPEA65B7","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":"62f4c0c4e12930ab6ce060cb7c04393b334d0828a8265d200a66f0bcaa725d56","cross_cats_sorted":["cs.AI","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-07T16:12:52Z","title_canon_sha256":"97fc28f191b007189868bbde2ef38ddf92ec1b3b766907fab9bb9a9a678f7a62"},"schema_version":"1.0","source":{"id":"2502.05248","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05248","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05248v1","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05248","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_12","alias_value":"SCRI4GRIQRSD","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_16","alias_value":"SCRI4GRIQRSDLXSI","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_8","alias_value":"SCRI4GRI","created_at":"2026-07-05T10:11:34Z"}],"graph_snapshots":[{"event_id":"sha256:4b418093f9f80380a40bd56cacdab93dd970bd67d6bc4defad958cfab000e806","target":"graph","created_at":"2026-07-05T10:11:34Z","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/2502.05248/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Psychological assessment tools have long helped humans understand behavioural patterns. While Large Language Models (LLMs) can generate content comparable to that of humans, we explore whether they exhibit personality traits. To this end, this work applies psychological tools to LLMs in diverse scenarios to generate personality profiles. Using established trait-based questionnaires such as the Big Five Inventory and by addressing the possibility of training data contamination, we examine the dimensional variability and dominance of LLMs across five core personality dimensions: Openness, Consci","authors_text":"Amitava Datta, Mehwish Nasim, Nicolas Fay, Pranav Bhandari, Usman Naseem","cross_cats":["cs.AI","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-07T16:12:52Z","title":"Evaluating Personality Traits in Large Language Models: Insights from Psychological Questionnaires"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05248","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:f8d69028ae332866b63e22210c08966a1e07d06716c42b69519125a8744c3d90","target":"record","created_at":"2026-07-05T10:11:34Z","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":"62f4c0c4e12930ab6ce060cb7c04393b334d0828a8265d200a66f0bcaa725d56","cross_cats_sorted":["cs.AI","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-07T16:12:52Z","title_canon_sha256":"97fc28f191b007189868bbde2ef38ddf92ec1b3b766907fab9bb9a9a678f7a62"},"schema_version":"1.0","source":{"id":"2502.05248","kind":"arxiv","version":1}},"canonical_sha256":"90a28e1a28846435de4817c4f203dd0fea97de2e6ebc975e630de351d9b79737","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90a28e1a28846435de4817c4f203dd0fea97de2e6ebc975e630de351d9b79737","first_computed_at":"2026-07-05T10:11:34.826858Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:34.826858Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9LIGR04BjykEO+K1hRhugWk/hsNWFRIDzOcnJ1N6HFIq6hXXYmrpc+6IQ6+5JnvJ9cWvk/xs5BI6knMTbU0XBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:34.827370Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.05248","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f8d69028ae332866b63e22210c08966a1e07d06716c42b69519125a8744c3d90","sha256:4b418093f9f80380a40bd56cacdab93dd970bd67d6bc4defad958cfab000e806"],"state_sha256":"cb02a627397cbaf96ff88220792efbef24aa5c7ccd6d5b48d46ac5a6fd49745a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Af38uXz9XiPa+zEUJoyxXSFni3CtxjLWDT8+o2jSAcW2ApwmWFnCRhDRWpq/YDPZ8daZRcEVl5Vj1REXA9zuDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T05:42:18.357328Z","bundle_sha256":"4eb8c8af59d129e02bb4397e0dd92b623df2407104ab6bc5c313a6bdedcda832"}}