{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:KO7NLUOSFTO6XUPIJD3BNLQCGZ","short_pith_number":"pith:KO7NLUOS","schema_version":"1.0","canonical_sha256":"53bed5d1d22cddebd1e848f616ae0236554c011d87246761f95f44e1aef19249","source":{"kind":"arxiv","id":"2305.11064","version":1},"attestation_state":"computed","paper":{"title":"Bits of Grass: Does GPT already know how to write like Whitman?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Aisha Khatun, Dan Brown, Fabricio Goes, Marek Grzes, Max Peeperkorn, Piotr Sawicki","submitted_at":"2023-05-10T09:02:34Z","abstract_excerpt":"This study examines the ability of GPT-3.5, GPT-3.5-turbo (ChatGPT) and GPT-4 models to generate poems in the style of specific authors using zero-shot and many-shot prompts (which use the maximum context length of 8192 tokens). We assess the performance of models that are not fine-tuned for generating poetry in the style of specific authors, via automated evaluation. Our findings indicate that without fine-tuning, even when provided with the maximum number of 17 poem examples (8192 tokens) in the prompt, these models do not generate poetry in the desired style."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2305.11064","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-10T09:02:34Z","cross_cats_sorted":[],"title_canon_sha256":"8a9077da86a328f8c90477f69626521abd2b68b56a5523eb3d8d2b8c231bffcf","abstract_canon_sha256":"0a4323bc85f7e58d432179d276ef0351651b151ca9a8862b8f5fd7ed92226737"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:11:30.020977Z","signature_b64":"5XrglcyOBYwxwdprEpLEuyHpFVQsdQ+/4b1alp0LfPVBb4h85JrJoPIF3IkOlD9A11igyFRb109tajOFKKlNCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53bed5d1d22cddebd1e848f616ae0236554c011d87246761f95f44e1aef19249","last_reissued_at":"2026-07-05T06:11:30.020607Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:11:30.020607Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bits of Grass: Does GPT already know how to write like Whitman?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Aisha Khatun, Dan Brown, Fabricio Goes, Marek Grzes, Max Peeperkorn, Piotr Sawicki","submitted_at":"2023-05-10T09:02:34Z","abstract_excerpt":"This study examines the ability of GPT-3.5, GPT-3.5-turbo (ChatGPT) and GPT-4 models to generate poems in the style of specific authors using zero-shot and many-shot prompts (which use the maximum context length of 8192 tokens). We assess the performance of models that are not fine-tuned for generating poetry in the style of specific authors, via automated evaluation. Our findings indicate that without fine-tuning, even when provided with the maximum number of 17 poem examples (8192 tokens) in the prompt, these models do not generate poetry in the desired style."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11064","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/2305.11064/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2305.11064","created_at":"2026-07-05T06:11:30.020670+00:00"},{"alias_kind":"arxiv_version","alias_value":"2305.11064v1","created_at":"2026-07-05T06:11:30.020670+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11064","created_at":"2026-07-05T06:11:30.020670+00:00"},{"alias_kind":"pith_short_12","alias_value":"KO7NLUOSFTO6","created_at":"2026-07-05T06:11:30.020670+00:00"},{"alias_kind":"pith_short_16","alias_value":"KO7NLUOSFTO6XUPI","created_at":"2026-07-05T06:11:30.020670+00:00"},{"alias_kind":"pith_short_8","alias_value":"KO7NLUOS","created_at":"2026-07-05T06:11:30.020670+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2411.13237","citing_title":"BIPro: Zero-shot Chinese Poem Generation via Block Inverse Prompting Constrained Generation Framework","ref_index":18,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KO7NLUOSFTO6XUPIJD3BNLQCGZ","json":"https://pith.science/pith/KO7NLUOSFTO6XUPIJD3BNLQCGZ.json","graph_json":"https://pith.science/api/pith-number/KO7NLUOSFTO6XUPIJD3BNLQCGZ/graph.json","events_json":"https://pith.science/api/pith-number/KO7NLUOSFTO6XUPIJD3BNLQCGZ/events.json","paper":"https://pith.science/paper/KO7NLUOS"},"agent_actions":{"view_html":"https://pith.science/pith/KO7NLUOSFTO6XUPIJD3BNLQCGZ","download_json":"https://pith.science/pith/KO7NLUOSFTO6XUPIJD3BNLQCGZ.json","view_paper":"https://pith.science/paper/KO7NLUOS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2305.11064&json=true","fetch_graph":"https://pith.science/api/pith-number/KO7NLUOSFTO6XUPIJD3BNLQCGZ/graph.json","fetch_events":"https://pith.science/api/pith-number/KO7NLUOSFTO6XUPIJD3BNLQCGZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KO7NLUOSFTO6XUPIJD3BNLQCGZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KO7NLUOSFTO6XUPIJD3BNLQCGZ/action/storage_attestation","attest_author":"https://pith.science/pith/KO7NLUOSFTO6XUPIJD3BNLQCGZ/action/author_attestation","sign_citation":"https://pith.science/pith/KO7NLUOSFTO6XUPIJD3BNLQCGZ/action/citation_signature","submit_replication":"https://pith.science/pith/KO7NLUOSFTO6XUPIJD3BNLQCGZ/action/replication_record"}},"created_at":"2026-07-05T06:11:30.020670+00:00","updated_at":"2026-07-05T06:11:30.020670+00:00"}