{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:P4ENQTEKTBVBEHB2PKDMTBJ3Y5","short_pith_number":"pith:P4ENQTEK","schema_version":"1.0","canonical_sha256":"7f08d84c8a986a121c3a7a86c9853bc746509e2c82654d8a7773a14324e736fe","source":{"kind":"arxiv","id":"2606.13368","version":1},"attestation_state":"computed","paper":{"title":"IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.AI","authors_text":"Botian Shi, Daocheng Fu, Hairong Zhang, Hongbin Zhou, Jiaxin Ai, Licheng Wen, Nianchen Deng, Pinlong Cai, Shu Zou, Siqi Li, Tao Hu, Xinyu Cai, Xueheng Li, Xuemeng Yang, Yu Yang","submitted_at":"2026-06-11T13:53:21Z","abstract_excerpt":"Computer-Aided Design is pivotal in modern manufacturing, yet existing automated methods predominantly rely on open-loop, one-shot generation, creating a mismatch with iterative real-world practices. In this paper, we present IterCAD, a unified multimodal agent framework for closed-loop, interactive CAD generation and editing. We formulate the task as a multi-turn interaction between a multimodal agent and an executable CAD sandbox, covering three tasks: Drawing-to-Code, Text-to-Code, and Interactive Editing. To support this, we develop a data synthesis pipeline incorporating advanced industri"},"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":"2606.13368","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-11T13:53:21Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"f0212e21bc651a4c3a9768398cd2e70b815fe985fbcb4b32c0c204290b65076c","abstract_canon_sha256":"b6d0f45ee7d54e0faed12e71938fdb2229394c79666715fa8d76d9c31c628cf2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:09:57.967915Z","signature_b64":"7gt8jFdCb+hAi9JFZaA/aMMjv8PKHqeya4ZLzslGdIb6fft0evYgsECquJBZ9nmEqBQKXit9uTqdKCpsPE2lCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7f08d84c8a986a121c3a7a86c9853bc746509e2c82654d8a7773a14324e736fe","last_reissued_at":"2026-06-12T01:09:57.967222Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:09:57.967222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.AI","authors_text":"Botian Shi, Daocheng Fu, Hairong Zhang, Hongbin Zhou, Jiaxin Ai, Licheng Wen, Nianchen Deng, Pinlong Cai, Shu Zou, Siqi Li, Tao Hu, Xinyu Cai, Xueheng Li, Xuemeng Yang, Yu Yang","submitted_at":"2026-06-11T13:53:21Z","abstract_excerpt":"Computer-Aided Design is pivotal in modern manufacturing, yet existing automated methods predominantly rely on open-loop, one-shot generation, creating a mismatch with iterative real-world practices. In this paper, we present IterCAD, a unified multimodal agent framework for closed-loop, interactive CAD generation and editing. We formulate the task as a multi-turn interaction between a multimodal agent and an executable CAD sandbox, covering three tasks: Drawing-to-Code, Text-to-Code, and Interactive Editing. To support this, we develop a data synthesis pipeline incorporating advanced industri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.13368","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/2606.13368/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":"2606.13368","created_at":"2026-06-12T01:09:57.967337+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.13368v1","created_at":"2026-06-12T01:09:57.967337+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.13368","created_at":"2026-06-12T01:09:57.967337+00:00"},{"alias_kind":"pith_short_12","alias_value":"P4ENQTEKTBVB","created_at":"2026-06-12T01:09:57.967337+00:00"},{"alias_kind":"pith_short_16","alias_value":"P4ENQTEKTBVBEHB2","created_at":"2026-06-12T01:09:57.967337+00:00"},{"alias_kind":"pith_short_8","alias_value":"P4ENQTEK","created_at":"2026-06-12T01:09:57.967337+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/P4ENQTEKTBVBEHB2PKDMTBJ3Y5","json":"https://pith.science/pith/P4ENQTEKTBVBEHB2PKDMTBJ3Y5.json","graph_json":"https://pith.science/api/pith-number/P4ENQTEKTBVBEHB2PKDMTBJ3Y5/graph.json","events_json":"https://pith.science/api/pith-number/P4ENQTEKTBVBEHB2PKDMTBJ3Y5/events.json","paper":"https://pith.science/paper/P4ENQTEK"},"agent_actions":{"view_html":"https://pith.science/pith/P4ENQTEKTBVBEHB2PKDMTBJ3Y5","download_json":"https://pith.science/pith/P4ENQTEKTBVBEHB2PKDMTBJ3Y5.json","view_paper":"https://pith.science/paper/P4ENQTEK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.13368&json=true","fetch_graph":"https://pith.science/api/pith-number/P4ENQTEKTBVBEHB2PKDMTBJ3Y5/graph.json","fetch_events":"https://pith.science/api/pith-number/P4ENQTEKTBVBEHB2PKDMTBJ3Y5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P4ENQTEKTBVBEHB2PKDMTBJ3Y5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P4ENQTEKTBVBEHB2PKDMTBJ3Y5/action/storage_attestation","attest_author":"https://pith.science/pith/P4ENQTEKTBVBEHB2PKDMTBJ3Y5/action/author_attestation","sign_citation":"https://pith.science/pith/P4ENQTEKTBVBEHB2PKDMTBJ3Y5/action/citation_signature","submit_replication":"https://pith.science/pith/P4ENQTEKTBVBEHB2PKDMTBJ3Y5/action/replication_record"}},"created_at":"2026-06-12T01:09:57.967337+00:00","updated_at":"2026-06-12T01:09:57.967337+00:00"}