{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:KRHHZWSZ6KIS4EEII4CLKYS65A","short_pith_number":"pith:KRHHZWSZ","schema_version":"1.0","canonical_sha256":"544e7cda59f2912e10884704b5625ee83a42cd109eff6dbe90977f904f49f3fc","source":{"kind":"arxiv","id":"2411.17673","version":1},"attestation_state":"computed","paper":{"title":"SketchAgent: Language-Driven Sequential Sketch Generation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alex Zhao, Antonio Torralba, Judith E Fan, Kristine Zheng, Tamar Rott Shaham, Yael Vinker","submitted_at":"2024-11-26T18:32:06Z","abstract_excerpt":"Sketching serves as a versatile tool for externalizing ideas, enabling rapid exploration and visual communication that spans various disciplines. While artificial systems have driven substantial advances in content creation and human-computer interaction, capturing the dynamic and abstract nature of human sketching remains challenging. In this work, we introduce SketchAgent, a language-driven, sequential sketch generation method that enables users to create, modify, and refine sketches through dynamic, conversational interactions. Our approach requires no training or fine-tuning. Instead, we l"},"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":"2411.17673","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T18:32:06Z","cross_cats_sorted":[],"title_canon_sha256":"709d76f598eecc9ac0b6e8951059323118fb56444627c976cc88008a7a2cfb90","abstract_canon_sha256":"8da83bb44ca8375f95dbedc4e6b0d72a943541091f3712429e7d36d70c8e051e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:40:50.323848Z","signature_b64":"Xe7et/hNwtZV9ufbb1qw8NZ90R7TC8CgMf+tSgqB/7l0zioG0XFZzc9SgTsiMujCedRZrw5clk9c7u5NTOfdDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"544e7cda59f2912e10884704b5625ee83a42cd109eff6dbe90977f904f49f3fc","last_reissued_at":"2026-07-05T09:40:50.323354Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:40:50.323354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SketchAgent: Language-Driven Sequential Sketch Generation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alex Zhao, Antonio Torralba, Judith E Fan, Kristine Zheng, Tamar Rott Shaham, Yael Vinker","submitted_at":"2024-11-26T18:32:06Z","abstract_excerpt":"Sketching serves as a versatile tool for externalizing ideas, enabling rapid exploration and visual communication that spans various disciplines. While artificial systems have driven substantial advances in content creation and human-computer interaction, capturing the dynamic and abstract nature of human sketching remains challenging. In this work, we introduce SketchAgent, a language-driven, sequential sketch generation method that enables users to create, modify, and refine sketches through dynamic, conversational interactions. Our approach requires no training or fine-tuning. Instead, we l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.17673","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/2411.17673/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":"2411.17673","created_at":"2026-07-05T09:40:50.323411+00:00"},{"alias_kind":"arxiv_version","alias_value":"2411.17673v1","created_at":"2026-07-05T09:40:50.323411+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.17673","created_at":"2026-07-05T09:40:50.323411+00:00"},{"alias_kind":"pith_short_12","alias_value":"KRHHZWSZ6KIS","created_at":"2026-07-05T09:40:50.323411+00:00"},{"alias_kind":"pith_short_16","alias_value":"KRHHZWSZ6KIS4EEI","created_at":"2026-07-05T09:40:50.323411+00:00"},{"alias_kind":"pith_short_8","alias_value":"KRHHZWSZ","created_at":"2026-07-05T09:40:50.323411+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2603.19500","citing_title":"Teaching an Agent to Sketch One Part at a Time","ref_index":36,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KRHHZWSZ6KIS4EEII4CLKYS65A","json":"https://pith.science/pith/KRHHZWSZ6KIS4EEII4CLKYS65A.json","graph_json":"https://pith.science/api/pith-number/KRHHZWSZ6KIS4EEII4CLKYS65A/graph.json","events_json":"https://pith.science/api/pith-number/KRHHZWSZ6KIS4EEII4CLKYS65A/events.json","paper":"https://pith.science/paper/KRHHZWSZ"},"agent_actions":{"view_html":"https://pith.science/pith/KRHHZWSZ6KIS4EEII4CLKYS65A","download_json":"https://pith.science/pith/KRHHZWSZ6KIS4EEII4CLKYS65A.json","view_paper":"https://pith.science/paper/KRHHZWSZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2411.17673&json=true","fetch_graph":"https://pith.science/api/pith-number/KRHHZWSZ6KIS4EEII4CLKYS65A/graph.json","fetch_events":"https://pith.science/api/pith-number/KRHHZWSZ6KIS4EEII4CLKYS65A/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KRHHZWSZ6KIS4EEII4CLKYS65A/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KRHHZWSZ6KIS4EEII4CLKYS65A/action/storage_attestation","attest_author":"https://pith.science/pith/KRHHZWSZ6KIS4EEII4CLKYS65A/action/author_attestation","sign_citation":"https://pith.science/pith/KRHHZWSZ6KIS4EEII4CLKYS65A/action/citation_signature","submit_replication":"https://pith.science/pith/KRHHZWSZ6KIS4EEII4CLKYS65A/action/replication_record"}},"created_at":"2026-07-05T09:40:50.323411+00:00","updated_at":"2026-07-05T09:40:50.323411+00:00"}