{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WROZCHKVJLEZJN36JHGC3YOJNH","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":"70d3ca02dec5f0b52ed8124f7cab4b605f3e9a5e645278becace0da4b98ce008","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-08T06:20:01Z","title_canon_sha256":"e3c8bed904c4e03cc6fb82b5046152a03aea7bf0fcd90272f6f9aabf2ffc71db"},"schema_version":"1.0","source":{"id":"2402.05435","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.05435","created_at":"2026-07-05T08:43:08Z"},{"alias_kind":"arxiv_version","alias_value":"2402.05435v2","created_at":"2026-07-05T08:43:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.05435","created_at":"2026-07-05T08:43:08Z"},{"alias_kind":"pith_short_12","alias_value":"WROZCHKVJLEZ","created_at":"2026-07-05T08:43:08Z"},{"alias_kind":"pith_short_16","alias_value":"WROZCHKVJLEZJN36","created_at":"2026-07-05T08:43:08Z"},{"alias_kind":"pith_short_8","alias_value":"WROZCHKV","created_at":"2026-07-05T08:43:08Z"}],"graph_snapshots":[{"event_id":"sha256:90ddc932e0d831579981c57f6bb425d4323825e457f48bbb21a1ab784b862983","target":"graph","created_at":"2026-07-05T08:43:08Z","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/2402.05435/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) play a pivotal role in generating vast arrays of narratives, facilitating a systematic exploration of their effectiveness for communicating life events in narrative form. In this study, we employ a zero-shot structured narrative prompt to generate 24,000 narratives using OpenAI's GPT-4. From this dataset, we manually classify 2,880 narratives and evaluate their validity in conveying birth, death, hiring, and firing events. Remarkably, 87.43% of the narratives sufficiently convey the intention of the structured prompt. To automate the identification of valid and inv","authors_text":"Ann Marie Reinhold, Brandon Feldhaus, Christopher J. Lynch, Erik Jensen, Joseph Martinez, Katherine Smith, Kevin O'Brien, Madison H. Munro, Ross Gore, Virginia Zamponi","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-08T06:20:01Z","title":"GPT-4 Generated Narratives of Life Events using a Structured Narrative Prompt: A Validation Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.05435","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":"sha256:932bf24ebc9e7343534e5254d595e0cbd46c806d4dcbfaf770437483d0b87cce","target":"record","created_at":"2026-07-05T08:43:08Z","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":"70d3ca02dec5f0b52ed8124f7cab4b605f3e9a5e645278becace0da4b98ce008","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-08T06:20:01Z","title_canon_sha256":"e3c8bed904c4e03cc6fb82b5046152a03aea7bf0fcd90272f6f9aabf2ffc71db"},"schema_version":"1.0","source":{"id":"2402.05435","kind":"arxiv","version":2}},"canonical_sha256":"b45d911d554ac994b77e49cc2de1c969fca802701820c195a150dda53d3fde6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b45d911d554ac994b77e49cc2de1c969fca802701820c195a150dda53d3fde6e","first_computed_at":"2026-07-05T08:43:08.400784Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:43:08.400784Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nYuNR2mekSWgK0dx6m7VTD4xeO0WI5fYKD+8ivie8nTVjx8SrDYx5sdB1/auxULcVkWoChzN3dNQS8k78L9RBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:43:08.401217Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.05435","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:932bf24ebc9e7343534e5254d595e0cbd46c806d4dcbfaf770437483d0b87cce","sha256:90ddc932e0d831579981c57f6bb425d4323825e457f48bbb21a1ab784b862983"],"state_sha256":"1c2c7022456287ffa1c49edf94e40b180f2957c1666cc8d08e05ff3a4b1063b6"}