{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:3KSG5DT7HB65ZAL6USQONFUC2P","short_pith_number":"pith:3KSG5DT7","schema_version":"1.0","canonical_sha256":"daa46e8e7f387ddc817ea4a0e69682d3c4880d42d67ac63f60ad20d1b5746f28","source":{"kind":"arxiv","id":"2301.01902","version":1},"attestation_state":"computed","paper":{"title":"What is in a Text-to-Image Prompt: The Potential of Stable Diffusion in Visual Arts Education","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Kullathida Dehouche, Nassim Dehouche","submitted_at":"2023-01-05T04:12:54Z","abstract_excerpt":"Text-to-Image artificial intelligence (AI) recently saw a major breakthrough with the release of Dall-E and its open-source counterpart, Stable Diffusion. These programs allow anyone to create original visual art pieces by simply providing descriptions in natural language (prompts). Using a sample of 72,980 Stable Diffusion prompts, we propose a formalization of this new medium of art creation and assess its potential for teaching the history of art, aesthetics, and technique. Our findings indicate that text-to-Image AI has the potential to revolutionize the way art is taught, offering new, co"},"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":"2301.01902","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2023-01-05T04:12:54Z","cross_cats_sorted":[],"title_canon_sha256":"cfd3ab9e2c342d6c0ad8e9d0f5ffc6047f82cc4fa97ae9d4a7d6342771387698","abstract_canon_sha256":"fa1ed2b30584db2534907646bf59620435f28c4f857098960c1020a66e052029"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:30:47.839926Z","signature_b64":"raK72hHmOW01WeO70vU07YP910nxienvkdzz021Qx1o/M40yxIY3bN3qCkAbBxziWmQjQ1+lgGEa6WswNXBKAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"daa46e8e7f387ddc817ea4a0e69682d3c4880d42d67ac63f60ad20d1b5746f28","last_reissued_at":"2026-07-05T05:30:47.839457Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:30:47.839457Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"What is in a Text-to-Image Prompt: The Potential of Stable Diffusion in Visual Arts Education","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Kullathida Dehouche, Nassim Dehouche","submitted_at":"2023-01-05T04:12:54Z","abstract_excerpt":"Text-to-Image artificial intelligence (AI) recently saw a major breakthrough with the release of Dall-E and its open-source counterpart, Stable Diffusion. These programs allow anyone to create original visual art pieces by simply providing descriptions in natural language (prompts). Using a sample of 72,980 Stable Diffusion prompts, we propose a formalization of this new medium of art creation and assess its potential for teaching the history of art, aesthetics, and technique. Our findings indicate that text-to-Image AI has the potential to revolutionize the way art is taught, offering new, co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.01902","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/2301.01902/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":"2301.01902","created_at":"2026-07-05T05:30:47.839507+00:00"},{"alias_kind":"arxiv_version","alias_value":"2301.01902v1","created_at":"2026-07-05T05:30:47.839507+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.01902","created_at":"2026-07-05T05:30:47.839507+00:00"},{"alias_kind":"pith_short_12","alias_value":"3KSG5DT7HB65","created_at":"2026-07-05T05:30:47.839507+00:00"},{"alias_kind":"pith_short_16","alias_value":"3KSG5DT7HB65ZAL6","created_at":"2026-07-05T05:30:47.839507+00:00"},{"alias_kind":"pith_short_8","alias_value":"3KSG5DT7","created_at":"2026-07-05T05:30:47.839507+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3KSG5DT7HB65ZAL6USQONFUC2P","json":"https://pith.science/pith/3KSG5DT7HB65ZAL6USQONFUC2P.json","graph_json":"https://pith.science/api/pith-number/3KSG5DT7HB65ZAL6USQONFUC2P/graph.json","events_json":"https://pith.science/api/pith-number/3KSG5DT7HB65ZAL6USQONFUC2P/events.json","paper":"https://pith.science/paper/3KSG5DT7"},"agent_actions":{"view_html":"https://pith.science/pith/3KSG5DT7HB65ZAL6USQONFUC2P","download_json":"https://pith.science/pith/3KSG5DT7HB65ZAL6USQONFUC2P.json","view_paper":"https://pith.science/paper/3KSG5DT7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2301.01902&json=true","fetch_graph":"https://pith.science/api/pith-number/3KSG5DT7HB65ZAL6USQONFUC2P/graph.json","fetch_events":"https://pith.science/api/pith-number/3KSG5DT7HB65ZAL6USQONFUC2P/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3KSG5DT7HB65ZAL6USQONFUC2P/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3KSG5DT7HB65ZAL6USQONFUC2P/action/storage_attestation","attest_author":"https://pith.science/pith/3KSG5DT7HB65ZAL6USQONFUC2P/action/author_attestation","sign_citation":"https://pith.science/pith/3KSG5DT7HB65ZAL6USQONFUC2P/action/citation_signature","submit_replication":"https://pith.science/pith/3KSG5DT7HB65ZAL6USQONFUC2P/action/replication_record"}},"created_at":"2026-07-05T05:30:47.839507+00:00","updated_at":"2026-07-05T05:30:47.839507+00:00"}