{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:Q2CN5JKA2CZLA77TLAZJZLXYHV","short_pith_number":"pith:Q2CN5JKA","schema_version":"1.0","canonical_sha256":"8684dea540d0b2b07ff358329caef83d659dd7b3a5698f4d528fffc5d039a0b8","source":{"kind":"arxiv","id":"2105.00162","version":2},"attestation_state":"computed","paper":{"title":"Generative Art Using Neural Visual Grammars and Dual Encoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE"],"primary_cat":"cs.AI","authors_text":"Chrisantha Fernando, Dylan Banarse, Jean-Baptiste Alayrac, Piotr Mirowski, Simon Osindero, S. M. Ali Eslami","submitted_at":"2021-05-01T04:21:52Z","abstract_excerpt":"Whilst there are perhaps only a few scientific methods, there seem to be almost as many artistic methods as there are artists. Artistic processes appear to inhabit the highest order of open-endedness. To begin to understand some of the processes of art making it is helpful to try to automate them even partially. In this paper, a novel algorithm for producing generative art is described which allows a user to input a text string, and which in a creative response to this string, outputs an image which interprets that string. It does so by evolving images using a hierarchical neural Lindenmeyer s"},"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":"2105.00162","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-05-01T04:21:52Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"2d90e3d8e09a7b870573f1bc91535bcc20c491647ab1b7c815ead429f1018d9b","abstract_canon_sha256":"dda9a0c31246514264b07d03f9b6a14c158f3af7870a17b9122453b95015bbdc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:37:12.990636Z","signature_b64":"YxARlM9zW69/nVj1dF9/HTVEv+wRqPlQo//oy3D4bvGHRv3nODWSflq6dyy3G5IOE+8E6+TqEfFpkNv9B3+uDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8684dea540d0b2b07ff358329caef83d659dd7b3a5698f4d528fffc5d039a0b8","last_reissued_at":"2026-07-05T02:37:12.990183Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:37:12.990183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Generative Art Using Neural Visual Grammars and Dual Encoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE"],"primary_cat":"cs.AI","authors_text":"Chrisantha Fernando, Dylan Banarse, Jean-Baptiste Alayrac, Piotr Mirowski, Simon Osindero, S. M. Ali Eslami","submitted_at":"2021-05-01T04:21:52Z","abstract_excerpt":"Whilst there are perhaps only a few scientific methods, there seem to be almost as many artistic methods as there are artists. Artistic processes appear to inhabit the highest order of open-endedness. To begin to understand some of the processes of art making it is helpful to try to automate them even partially. In this paper, a novel algorithm for producing generative art is described which allows a user to input a text string, and which in a creative response to this string, outputs an image which interprets that string. It does so by evolving images using a hierarchical neural Lindenmeyer s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.00162","kind":"arxiv","version":2},"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/2105.00162/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":"2105.00162","created_at":"2026-07-05T02:37:12.990245+00:00"},{"alias_kind":"arxiv_version","alias_value":"2105.00162v2","created_at":"2026-07-05T02:37:12.990245+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.00162","created_at":"2026-07-05T02:37:12.990245+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q2CN5JKA2CZL","created_at":"2026-07-05T02:37:12.990245+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q2CN5JKA2CZLA77T","created_at":"2026-07-05T02:37:12.990245+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q2CN5JKA","created_at":"2026-07-05T02:37:12.990245+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.16849","citing_title":"Evolution & Foundation: AI Shares Creative Control","ref_index":23,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q2CN5JKA2CZLA77TLAZJZLXYHV","json":"https://pith.science/pith/Q2CN5JKA2CZLA77TLAZJZLXYHV.json","graph_json":"https://pith.science/api/pith-number/Q2CN5JKA2CZLA77TLAZJZLXYHV/graph.json","events_json":"https://pith.science/api/pith-number/Q2CN5JKA2CZLA77TLAZJZLXYHV/events.json","paper":"https://pith.science/paper/Q2CN5JKA"},"agent_actions":{"view_html":"https://pith.science/pith/Q2CN5JKA2CZLA77TLAZJZLXYHV","download_json":"https://pith.science/pith/Q2CN5JKA2CZLA77TLAZJZLXYHV.json","view_paper":"https://pith.science/paper/Q2CN5JKA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2105.00162&json=true","fetch_graph":"https://pith.science/api/pith-number/Q2CN5JKA2CZLA77TLAZJZLXYHV/graph.json","fetch_events":"https://pith.science/api/pith-number/Q2CN5JKA2CZLA77TLAZJZLXYHV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q2CN5JKA2CZLA77TLAZJZLXYHV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q2CN5JKA2CZLA77TLAZJZLXYHV/action/storage_attestation","attest_author":"https://pith.science/pith/Q2CN5JKA2CZLA77TLAZJZLXYHV/action/author_attestation","sign_citation":"https://pith.science/pith/Q2CN5JKA2CZLA77TLAZJZLXYHV/action/citation_signature","submit_replication":"https://pith.science/pith/Q2CN5JKA2CZLA77TLAZJZLXYHV/action/replication_record"}},"created_at":"2026-07-05T02:37:12.990245+00:00","updated_at":"2026-07-05T02:37:12.990245+00:00"}