{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:N5LF7DBBREWEBNCYTP6HNQUTI7","short_pith_number":"pith:N5LF7DBB","schema_version":"1.0","canonical_sha256":"6f565f8c21892c40b4589bfc76c29347d3ad490ddb4708766c90424c70be68c2","source":{"kind":"arxiv","id":"1707.04768","version":1},"attestation_state":"computed","paper":{"title":"Robust optimal component design under consideration of local material defects","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Jannis Greifenstein, Michael Stingl","submitted_at":"2017-07-15T17:46:06Z","abstract_excerpt":"An important issue in additive manufacturing is the reliability and reproducibility of parts. One major problem in achieving this are uncontrolled local variations in the obtained material properties which arise in the complex manufacturing process and are usually not taken into account in the design of components.\n  We consider the optimal layout of a part to withstand a given loading, under the assumption that the local material properties are not precisely known. The material uncertainties are treated by a worst case approach. This means that for each layout a given amount of defects in mat"},"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":"1707.04768","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-07-15T17:46:06Z","cross_cats_sorted":[],"title_canon_sha256":"6739250316248f208e171a2953592e9489fc2447869ec37d1c1834bb3533cb9b","abstract_canon_sha256":"c7f219039b2acbccd73c92640a61ec19b1b9ab33570852a55ceb3ede61a1a7c2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:12.323512Z","signature_b64":"Uux9u/53xSHRvLZUNClDXiluEpk6AkY9GeJjntfMJbipZWGGRoettHI7RmRiBp2Wh7slM2SWl2LfdzF+M5glAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6f565f8c21892c40b4589bfc76c29347d3ad490ddb4708766c90424c70be68c2","last_reissued_at":"2026-05-18T00:40:12.322661Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:12.322661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Robust optimal component design under consideration of local material defects","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Jannis Greifenstein, Michael Stingl","submitted_at":"2017-07-15T17:46:06Z","abstract_excerpt":"An important issue in additive manufacturing is the reliability and reproducibility of parts. One major problem in achieving this are uncontrolled local variations in the obtained material properties which arise in the complex manufacturing process and are usually not taken into account in the design of components.\n  We consider the optimal layout of a part to withstand a given loading, under the assumption that the local material properties are not precisely known. The material uncertainties are treated by a worst case approach. This means that for each layout a given amount of defects in mat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.04768","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":""},"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":"1707.04768","created_at":"2026-05-18T00:40:12.322779+00:00"},{"alias_kind":"arxiv_version","alias_value":"1707.04768v1","created_at":"2026-05-18T00:40:12.322779+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.04768","created_at":"2026-05-18T00:40:12.322779+00:00"},{"alias_kind":"pith_short_12","alias_value":"N5LF7DBBREWE","created_at":"2026-05-18T12:31:31.346846+00:00"},{"alias_kind":"pith_short_16","alias_value":"N5LF7DBBREWEBNCY","created_at":"2026-05-18T12:31:31.346846+00:00"},{"alias_kind":"pith_short_8","alias_value":"N5LF7DBB","created_at":"2026-05-18T12:31:31.346846+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/N5LF7DBBREWEBNCYTP6HNQUTI7","json":"https://pith.science/pith/N5LF7DBBREWEBNCYTP6HNQUTI7.json","graph_json":"https://pith.science/api/pith-number/N5LF7DBBREWEBNCYTP6HNQUTI7/graph.json","events_json":"https://pith.science/api/pith-number/N5LF7DBBREWEBNCYTP6HNQUTI7/events.json","paper":"https://pith.science/paper/N5LF7DBB"},"agent_actions":{"view_html":"https://pith.science/pith/N5LF7DBBREWEBNCYTP6HNQUTI7","download_json":"https://pith.science/pith/N5LF7DBBREWEBNCYTP6HNQUTI7.json","view_paper":"https://pith.science/paper/N5LF7DBB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1707.04768&json=true","fetch_graph":"https://pith.science/api/pith-number/N5LF7DBBREWEBNCYTP6HNQUTI7/graph.json","fetch_events":"https://pith.science/api/pith-number/N5LF7DBBREWEBNCYTP6HNQUTI7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/N5LF7DBBREWEBNCYTP6HNQUTI7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/N5LF7DBBREWEBNCYTP6HNQUTI7/action/storage_attestation","attest_author":"https://pith.science/pith/N5LF7DBBREWEBNCYTP6HNQUTI7/action/author_attestation","sign_citation":"https://pith.science/pith/N5LF7DBBREWEBNCYTP6HNQUTI7/action/citation_signature","submit_replication":"https://pith.science/pith/N5LF7DBBREWEBNCYTP6HNQUTI7/action/replication_record"}},"created_at":"2026-05-18T00:40:12.322779+00:00","updated_at":"2026-05-18T00:40:12.322779+00:00"}