{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:H2XRMQTCJD5TBQE4LA7FNY5JZ6","short_pith_number":"pith:H2XRMQTC","schema_version":"1.0","canonical_sha256":"3eaf16426248fb30c09c583e56e3a9cfb60d16725ae52c3fa57dab419ea8b5db","source":{"kind":"arxiv","id":"2401.08981","version":2},"attestation_state":"computed","paper":{"title":"Real-time generative design of diverse, \"truly\" optimized structures with controllable structural complexities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Hongzhi Luo, Wenyu Hao, Xiaoyu Zhang, Xinyu Ma, Xu Guo, Yuan Liang, Zongliang Du","submitted_at":"2024-01-17T05:25:34Z","abstract_excerpt":"Compared with traditional design methods, generative design significantly attracts engineers in various disciplines. In thiswork, howto achieve the real-time generative design of optimized structures with various diversities and controllable structural complexities is investigated. To this end, a modified Moving Morphable Component (MMC) method together with novel strategies are adopted to generate high-quality dataset. The complexity level of optimized structures is categorized by the topological invariant. By improving the cost function, the WGAN is trained to produce optimized designs with "},"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":"2401.08981","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2024-01-17T05:25:34Z","cross_cats_sorted":[],"title_canon_sha256":"5253ebc5bb2ab5f37ddd3eb1f39b44310ccaf8dcd4f3b9d53621f188d19d368c","abstract_canon_sha256":"769924ffab3ed1b0949f48b7d637a2de50e54d4175f99fb6a0b2292bac48cc2a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:35:42.484184Z","signature_b64":"QPeerZs4DOOU0RotyV5Cn3oth5zrpOC56PuQwWLS8ynUk+rIRGyx1DpweNSy8kocK2CDdCIuMrd9huhE0jzgBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3eaf16426248fb30c09c583e56e3a9cfb60d16725ae52c3fa57dab419ea8b5db","last_reissued_at":"2026-07-05T07:35:42.483761Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:35:42.483761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Real-time generative design of diverse, \"truly\" optimized structures with controllable structural complexities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Hongzhi Luo, Wenyu Hao, Xiaoyu Zhang, Xinyu Ma, Xu Guo, Yuan Liang, Zongliang Du","submitted_at":"2024-01-17T05:25:34Z","abstract_excerpt":"Compared with traditional design methods, generative design significantly attracts engineers in various disciplines. In thiswork, howto achieve the real-time generative design of optimized structures with various diversities and controllable structural complexities is investigated. To this end, a modified Moving Morphable Component (MMC) method together with novel strategies are adopted to generate high-quality dataset. The complexity level of optimized structures is categorized by the topological invariant. By improving the cost function, the WGAN is trained to produce optimized designs with "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08981","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/2401.08981/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":"2401.08981","created_at":"2026-07-05T07:35:42.483815+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.08981v2","created_at":"2026-07-05T07:35:42.483815+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08981","created_at":"2026-07-05T07:35:42.483815+00:00"},{"alias_kind":"pith_short_12","alias_value":"H2XRMQTCJD5T","created_at":"2026-07-05T07:35:42.483815+00:00"},{"alias_kind":"pith_short_16","alias_value":"H2XRMQTCJD5TBQE4","created_at":"2026-07-05T07:35:42.483815+00:00"},{"alias_kind":"pith_short_8","alias_value":"H2XRMQTC","created_at":"2026-07-05T07:35:42.483815+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/H2XRMQTCJD5TBQE4LA7FNY5JZ6","json":"https://pith.science/pith/H2XRMQTCJD5TBQE4LA7FNY5JZ6.json","graph_json":"https://pith.science/api/pith-number/H2XRMQTCJD5TBQE4LA7FNY5JZ6/graph.json","events_json":"https://pith.science/api/pith-number/H2XRMQTCJD5TBQE4LA7FNY5JZ6/events.json","paper":"https://pith.science/paper/H2XRMQTC"},"agent_actions":{"view_html":"https://pith.science/pith/H2XRMQTCJD5TBQE4LA7FNY5JZ6","download_json":"https://pith.science/pith/H2XRMQTCJD5TBQE4LA7FNY5JZ6.json","view_paper":"https://pith.science/paper/H2XRMQTC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.08981&json=true","fetch_graph":"https://pith.science/api/pith-number/H2XRMQTCJD5TBQE4LA7FNY5JZ6/graph.json","fetch_events":"https://pith.science/api/pith-number/H2XRMQTCJD5TBQE4LA7FNY5JZ6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H2XRMQTCJD5TBQE4LA7FNY5JZ6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H2XRMQTCJD5TBQE4LA7FNY5JZ6/action/storage_attestation","attest_author":"https://pith.science/pith/H2XRMQTCJD5TBQE4LA7FNY5JZ6/action/author_attestation","sign_citation":"https://pith.science/pith/H2XRMQTCJD5TBQE4LA7FNY5JZ6/action/citation_signature","submit_replication":"https://pith.science/pith/H2XRMQTCJD5TBQE4LA7FNY5JZ6/action/replication_record"}},"created_at":"2026-07-05T07:35:42.483815+00:00","updated_at":"2026-07-05T07:35:42.483815+00:00"}