{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:3BRR5ZIJWJUBAFNHPKIPH2QA66","short_pith_number":"pith:3BRR5ZIJ","schema_version":"1.0","canonical_sha256":"d8631ee509b2681015a77a90f3ea00f7a6f6224f148be08ef673da1cb6f9802b","source":{"kind":"arxiv","id":"2607.21928","version":1},"attestation_state":"computed","paper":{"title":"TG-Diff: Coupling Discrete Topology Diffusion and Topology-conditioned Geometry Diffusions for B-Rep Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CG","authors_text":"Bingchen Yang, Haiyong Jiang, Haoxuan Song, Jun Xiao, Mingze Sun, Peter Wonka, Yidi Li","submitted_at":"2026-07-24T03:03:55Z","abstract_excerpt":"Boundary representation (B-rep) is the standard format for computer-aided design (CAD). This article proposes a lightweight two-stage diffusion-based B-rep generation framework, TG-Diff, that achieves efficient, high-quality B-rep generation by decoupling topology and geometric modeling.\n  In contrast to previous work that generates topology as a collection of vertices, edges, and surfaces together with their relationships, TG-Diff represents topology only as a collection of surfaces and their adjacency relationships. This surface-centric representation inherently alleviates the geometric and "},"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":"2607.21928","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CG","submitted_at":"2026-07-24T03:03:55Z","cross_cats_sorted":[],"title_canon_sha256":"0589a2c9d8003b8682264c939af82e0d000e48686dce1f49286944afaaedb51f","abstract_canon_sha256":"4de48c18b7556a5aed2cef7a424be37b8f5379f4345f4f32ef27569c0b01c7e2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-27T00:20:28.287148Z","signature_b64":"9MnXYvhBCeKVDpVe704WuiuCLUb9E8wwDnhfQxK2txyoXvkFZeXUEBO27SJXa1RXb3N1ZIMQ9Y1Gc/5KhSz8BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d8631ee509b2681015a77a90f3ea00f7a6f6224f148be08ef673da1cb6f9802b","last_reissued_at":"2026-07-27T00:20:28.286291Z","signature_status":"signed_v1","first_computed_at":"2026-07-27T00:20:28.286291Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TG-Diff: Coupling Discrete Topology Diffusion and Topology-conditioned Geometry Diffusions for B-Rep Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CG","authors_text":"Bingchen Yang, Haiyong Jiang, Haoxuan Song, Jun Xiao, Mingze Sun, Peter Wonka, Yidi Li","submitted_at":"2026-07-24T03:03:55Z","abstract_excerpt":"Boundary representation (B-rep) is the standard format for computer-aided design (CAD). This article proposes a lightweight two-stage diffusion-based B-rep generation framework, TG-Diff, that achieves efficient, high-quality B-rep generation by decoupling topology and geometric modeling.\n  In contrast to previous work that generates topology as a collection of vertices, edges, and surfaces together with their relationships, TG-Diff represents topology only as a collection of surfaces and their adjacency relationships. This surface-centric representation inherently alleviates the geometric and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21928","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/2607.21928/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":"2607.21928","created_at":"2026-07-27T00:20:28.286739+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.21928v1","created_at":"2026-07-27T00:20:28.286739+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21928","created_at":"2026-07-27T00:20:28.286739+00:00"},{"alias_kind":"pith_short_12","alias_value":"3BRR5ZIJWJUB","created_at":"2026-07-27T00:20:28.286739+00:00"},{"alias_kind":"pith_short_16","alias_value":"3BRR5ZIJWJUBAFNH","created_at":"2026-07-27T00:20:28.286739+00:00"},{"alias_kind":"pith_short_8","alias_value":"3BRR5ZIJ","created_at":"2026-07-27T00:20:28.286739+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/3BRR5ZIJWJUBAFNHPKIPH2QA66","json":"https://pith.science/pith/3BRR5ZIJWJUBAFNHPKIPH2QA66.json","graph_json":"https://pith.science/api/pith-number/3BRR5ZIJWJUBAFNHPKIPH2QA66/graph.json","events_json":"https://pith.science/api/pith-number/3BRR5ZIJWJUBAFNHPKIPH2QA66/events.json","paper":"https://pith.science/paper/3BRR5ZIJ"},"agent_actions":{"view_html":"https://pith.science/pith/3BRR5ZIJWJUBAFNHPKIPH2QA66","download_json":"https://pith.science/pith/3BRR5ZIJWJUBAFNHPKIPH2QA66.json","view_paper":"https://pith.science/paper/3BRR5ZIJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.21928&json=true","fetch_graph":"https://pith.science/api/pith-number/3BRR5ZIJWJUBAFNHPKIPH2QA66/graph.json","fetch_events":"https://pith.science/api/pith-number/3BRR5ZIJWJUBAFNHPKIPH2QA66/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3BRR5ZIJWJUBAFNHPKIPH2QA66/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3BRR5ZIJWJUBAFNHPKIPH2QA66/action/storage_attestation","attest_author":"https://pith.science/pith/3BRR5ZIJWJUBAFNHPKIPH2QA66/action/author_attestation","sign_citation":"https://pith.science/pith/3BRR5ZIJWJUBAFNHPKIPH2QA66/action/citation_signature","submit_replication":"https://pith.science/pith/3BRR5ZIJWJUBAFNHPKIPH2QA66/action/replication_record"}},"created_at":"2026-07-27T00:20:28.286739+00:00","updated_at":"2026-07-27T00:20:28.286739+00:00"}