{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:WFHWEE2KP4VZDRM2MMA6SMOGAE","short_pith_number":"pith:WFHWEE2K","canonical_record":{"source":{"id":"1809.08660","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-23T19:00:40Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"f987d3a089b957135189bf3e4a3bb0dd56da857bdd37af33d24ae94f4131c08f","abstract_canon_sha256":"02777b3a70c8b8f0aea5aa64d5267e9220aebdf57931b50539b8d1f594d4ded7"},"schema_version":"1.0"},"canonical_sha256":"b14f62134a7f2b91c59a6301e931c60119bbcf1ac190ca8af467b2f89c6333a9","source":{"kind":"arxiv","id":"1809.08660","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.08660","created_at":"2026-05-18T00:05:03Z"},{"alias_kind":"arxiv_version","alias_value":"1809.08660v1","created_at":"2026-05-18T00:05:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.08660","created_at":"2026-05-18T00:05:03Z"},{"alias_kind":"pith_short_12","alias_value":"WFHWEE2KP4VZ","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"WFHWEE2KP4VZDRM2","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"WFHWEE2K","created_at":"2026-05-18T12:32:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:WFHWEE2KP4VZDRM2MMA6SMOGAE","target":"record","payload":{"canonical_record":{"source":{"id":"1809.08660","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-23T19:00:40Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"f987d3a089b957135189bf3e4a3bb0dd56da857bdd37af33d24ae94f4131c08f","abstract_canon_sha256":"02777b3a70c8b8f0aea5aa64d5267e9220aebdf57931b50539b8d1f594d4ded7"},"schema_version":"1.0"},"canonical_sha256":"b14f62134a7f2b91c59a6301e931c60119bbcf1ac190ca8af467b2f89c6333a9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:03.864150Z","signature_b64":"vszCgysrtfzjYEJ/EsXMH52d17C2E70uxr1ALKCChvUHhuJMRiWrMmzm1J27075WMA68A9UPDeQ5LB3lVHe7Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b14f62134a7f2b91c59a6301e931c60119bbcf1ac190ca8af467b2f89c6333a9","last_reissued_at":"2026-05-18T00:05:03.863339Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:03.863339Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.08660","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:05:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jwn4/Mfeevanq8shLZEGkUW3Qcu7Swhzqh5NYELYH+RLsvC/qGjrHA45BLc8/i//zqcHbi1UiRc8U9TAfImfCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T10:10:42.889631Z"},"content_sha256":"200c934ecac8ef4bcc4dc889ace2df558fb03190a510360332ba83252ed33437","schema_version":"1.0","event_id":"sha256:200c934ecac8ef4bcc4dc889ace2df558fb03190a510360332ba83252ed33437"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:WFHWEE2KP4VZDRM2MMA6SMOGAE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","stat.ML"],"primary_cat":"cs.LG","authors_text":"Lukas Fuhrimann, Patrick Ole Ohlbrock, Pierluigi Dacunto, Vahid Moosavi","submitted_at":"2018-09-23T19:00:40Z","abstract_excerpt":"The aim of this research is to introduce a novel structural design process that allows architects and engineers to extend their typical design space horizon and thereby promoting the idea of creativity in structural design. The theoretical base of this work builds on the combination of structural form-finding and state-of-the-art machine learning algorithms. In the first step of the process, Combinatorial Equilibrium Modelling (CEM) is used to generate a large variety of spatial networks in equilibrium for given input parameters. In the second step, these networks are clustered and represented"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.08660","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:05:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tDVJmwQNq98x9V51tC6NaDp7Evmk/Y9fARstASoo+XQjNzpUY1XCUhmnCFllTkK8Ifo7pcFHN57ZcmDdOCtpDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T10:10:42.890116Z"},"content_sha256":"630e9dc3a3d9d48af82ab0da3f7f5d2ec237609cbc3351877d7523f2675816ea","schema_version":"1.0","event_id":"sha256:630e9dc3a3d9d48af82ab0da3f7f5d2ec237609cbc3351877d7523f2675816ea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WFHWEE2KP4VZDRM2MMA6SMOGAE/bundle.json","state_url":"https://pith.science/pith/WFHWEE2KP4VZDRM2MMA6SMOGAE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WFHWEE2KP4VZDRM2MMA6SMOGAE/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-27T10:10:42Z","links":{"resolver":"https://pith.science/pith/WFHWEE2KP4VZDRM2MMA6SMOGAE","bundle":"https://pith.science/pith/WFHWEE2KP4VZDRM2MMA6SMOGAE/bundle.json","state":"https://pith.science/pith/WFHWEE2KP4VZDRM2MMA6SMOGAE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WFHWEE2KP4VZDRM2MMA6SMOGAE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WFHWEE2KP4VZDRM2MMA6SMOGAE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"02777b3a70c8b8f0aea5aa64d5267e9220aebdf57931b50539b8d1f594d4ded7","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-23T19:00:40Z","title_canon_sha256":"f987d3a089b957135189bf3e4a3bb0dd56da857bdd37af33d24ae94f4131c08f"},"schema_version":"1.0","source":{"id":"1809.08660","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.08660","created_at":"2026-05-18T00:05:03Z"},{"alias_kind":"arxiv_version","alias_value":"1809.08660v1","created_at":"2026-05-18T00:05:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.08660","created_at":"2026-05-18T00:05:03Z"},{"alias_kind":"pith_short_12","alias_value":"WFHWEE2KP4VZ","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"WFHWEE2KP4VZDRM2","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"WFHWEE2K","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:630e9dc3a3d9d48af82ab0da3f7f5d2ec237609cbc3351877d7523f2675816ea","target":"graph","created_at":"2026-05-18T00:05:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"The aim of this research is to introduce a novel structural design process that allows architects and engineers to extend their typical design space horizon and thereby promoting the idea of creativity in structural design. The theoretical base of this work builds on the combination of structural form-finding and state-of-the-art machine learning algorithms. In the first step of the process, Combinatorial Equilibrium Modelling (CEM) is used to generate a large variety of spatial networks in equilibrium for given input parameters. In the second step, these networks are clustered and represented","authors_text":"Lukas Fuhrimann, Patrick Ole Ohlbrock, Pierluigi Dacunto, Vahid Moosavi","cross_cats":["cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-23T19:00:40Z","title":"Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.08660","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:200c934ecac8ef4bcc4dc889ace2df558fb03190a510360332ba83252ed33437","target":"record","created_at":"2026-05-18T00:05:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"02777b3a70c8b8f0aea5aa64d5267e9220aebdf57931b50539b8d1f594d4ded7","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-23T19:00:40Z","title_canon_sha256":"f987d3a089b957135189bf3e4a3bb0dd56da857bdd37af33d24ae94f4131c08f"},"schema_version":"1.0","source":{"id":"1809.08660","kind":"arxiv","version":1}},"canonical_sha256":"b14f62134a7f2b91c59a6301e931c60119bbcf1ac190ca8af467b2f89c6333a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b14f62134a7f2b91c59a6301e931c60119bbcf1ac190ca8af467b2f89c6333a9","first_computed_at":"2026-05-18T00:05:03.863339Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:05:03.863339Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vszCgysrtfzjYEJ/EsXMH52d17C2E70uxr1ALKCChvUHhuJMRiWrMmzm1J27075WMA68A9UPDeQ5LB3lVHe7Cw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:05:03.864150Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.08660","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:200c934ecac8ef4bcc4dc889ace2df558fb03190a510360332ba83252ed33437","sha256:630e9dc3a3d9d48af82ab0da3f7f5d2ec237609cbc3351877d7523f2675816ea"],"state_sha256":"433cd76c6c584d84e4b551acd20e5f7e35d8b016fc64d5cf393bdebb1c946d6c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z6D438jsjbv9Qnv5Dn0/iE/Q4KXfEQVqAZWRAZUhOacFXGUBpgm/Kt7MHFDQKQkaOEvKxhPKF0zCtjD5tiLhCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T10:10:42.892634Z","bundle_sha256":"87930be37a7ebad867573b916e0390c89bf193548e7af9bc3abec10fd6db3594"}}