{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:F44I5VMVQODLOB3KQ6EI6TS5U7","short_pith_number":"pith:F44I5VMV","canonical_record":{"source":{"id":"1808.08914","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-08-27T16:34:51Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"f89f3642ed636e36b67e7737c59deba84843121594d5526ef40f302cb120549e","abstract_canon_sha256":"9d5db28f468521934b70a981851efaba209f483aa94ce7edc2dc4f28012abead"},"schema_version":"1.0"},"canonical_sha256":"2f388ed5958386b7076a87888f4e5da7e6d27d57f172980597af024b921b89f8","source":{"kind":"arxiv","id":"1808.08914","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.08914","created_at":"2026-05-17T23:41:53Z"},{"alias_kind":"arxiv_version","alias_value":"1808.08914v3","created_at":"2026-05-17T23:41:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08914","created_at":"2026-05-17T23:41:53Z"},{"alias_kind":"pith_short_12","alias_value":"F44I5VMVQODL","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"F44I5VMVQODLOB3K","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"F44I5VMV","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:F44I5VMVQODLOB3KQ6EI6TS5U7","target":"record","payload":{"canonical_record":{"source":{"id":"1808.08914","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-08-27T16:34:51Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"f89f3642ed636e36b67e7737c59deba84843121594d5526ef40f302cb120549e","abstract_canon_sha256":"9d5db28f468521934b70a981851efaba209f483aa94ce7edc2dc4f28012abead"},"schema_version":"1.0"},"canonical_sha256":"2f388ed5958386b7076a87888f4e5da7e6d27d57f172980597af024b921b89f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:53.889622Z","signature_b64":"IgepJZDFMao/GjGXaBU67MYu2hN77mXM04/Hq39QZisM5rxuOdou5E0gCSjU7kqbb58k5WAUbPCiKj7mLg0yBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f388ed5958386b7076a87888f4e5da7e6d27d57f172980597af024b921b89f8","last_reissued_at":"2026-05-17T23:41:53.889213Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:53.889213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.08914","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:41:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"APm++8YePtF/IlpSQ2qvjHOwHXx1mvew2RZK4+osqpsWHjkhgP2L2iL51N6wgsgcTUkralf6uGxcvwqzAnd4DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T13:32:38.875639Z"},"content_sha256":"13dc586b489332038c54808aba821dcdd9cb7d7c5fcc89a86683efc1ec8d0f98","schema_version":"1.0","event_id":"sha256:13dc586b489332038c54808aba821dcdd9cb7d7c5fcc89a86683efc1ec8d0f98"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:F44I5VMVQODLOB3KQ6EI6TS5U7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Haoliang Jiang, Levent Burak Kara, Zhenguo Nie","submitted_at":"2018-08-27T16:34:51Z","abstract_excerpt":"The demand for fast and accurate structural analysis is becoming increasingly more prevalent with the advance of generative design and topology optimization technologies. As one step toward accelerating structural analysis, this work explores a deep learning based approach for predicting the stress fields in 2D linear elastic cantilevered structures subjected to external static loads at its free end using convolutional neural networks (CNN). Two different architectures are implemented that take as input the structure geometry, external loads, and displacement boundary conditions, and output th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08914","kind":"arxiv","version":3},"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":"2026-05-17T23:41:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lgpc1h3UyJ78XNJuJ2ol+83+LJj23QEG9fj/QWSi0BQukxm9Tttf55n6hgCusxnC9x5ElmKJpgKE2khSxfGHBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T13:32:38.875989Z"},"content_sha256":"1bff8ebf6d72e3e2f2a9de40032d8c2cecb1a257c03de0ef645476c2da4f2905","schema_version":"1.0","event_id":"sha256:1bff8ebf6d72e3e2f2a9de40032d8c2cecb1a257c03de0ef645476c2da4f2905"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F44I5VMVQODLOB3KQ6EI6TS5U7/bundle.json","state_url":"https://pith.science/pith/F44I5VMVQODLOB3KQ6EI6TS5U7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F44I5VMVQODLOB3KQ6EI6TS5U7/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":"2026-06-01T13:32:38Z","links":{"resolver":"https://pith.science/pith/F44I5VMVQODLOB3KQ6EI6TS5U7","bundle":"https://pith.science/pith/F44I5VMVQODLOB3KQ6EI6TS5U7/bundle.json","state":"https://pith.science/pith/F44I5VMVQODLOB3KQ6EI6TS5U7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F44I5VMVQODLOB3KQ6EI6TS5U7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:F44I5VMVQODLOB3KQ6EI6TS5U7","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":"9d5db28f468521934b70a981851efaba209f483aa94ce7edc2dc4f28012abead","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-08-27T16:34:51Z","title_canon_sha256":"f89f3642ed636e36b67e7737c59deba84843121594d5526ef40f302cb120549e"},"schema_version":"1.0","source":{"id":"1808.08914","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.08914","created_at":"2026-05-17T23:41:53Z"},{"alias_kind":"arxiv_version","alias_value":"1808.08914v3","created_at":"2026-05-17T23:41:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.08914","created_at":"2026-05-17T23:41:53Z"},{"alias_kind":"pith_short_12","alias_value":"F44I5VMVQODL","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"F44I5VMVQODLOB3K","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"F44I5VMV","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:1bff8ebf6d72e3e2f2a9de40032d8c2cecb1a257c03de0ef645476c2da4f2905","target":"graph","created_at":"2026-05-17T23:41:53Z","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 demand for fast and accurate structural analysis is becoming increasingly more prevalent with the advance of generative design and topology optimization technologies. As one step toward accelerating structural analysis, this work explores a deep learning based approach for predicting the stress fields in 2D linear elastic cantilevered structures subjected to external static loads at its free end using convolutional neural networks (CNN). Two different architectures are implemented that take as input the structure geometry, external loads, and displacement boundary conditions, and output th","authors_text":"Haoliang Jiang, Levent Burak Kara, Zhenguo Nie","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-08-27T16:34:51Z","title":"Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.08914","kind":"arxiv","version":3},"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":"sha256:13dc586b489332038c54808aba821dcdd9cb7d7c5fcc89a86683efc1ec8d0f98","target":"record","created_at":"2026-05-17T23:41:53Z","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":"9d5db28f468521934b70a981851efaba209f483aa94ce7edc2dc4f28012abead","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-08-27T16:34:51Z","title_canon_sha256":"f89f3642ed636e36b67e7737c59deba84843121594d5526ef40f302cb120549e"},"schema_version":"1.0","source":{"id":"1808.08914","kind":"arxiv","version":3}},"canonical_sha256":"2f388ed5958386b7076a87888f4e5da7e6d27d57f172980597af024b921b89f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f388ed5958386b7076a87888f4e5da7e6d27d57f172980597af024b921b89f8","first_computed_at":"2026-05-17T23:41:53.889213Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:41:53.889213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IgepJZDFMao/GjGXaBU67MYu2hN77mXM04/Hq39QZisM5rxuOdou5E0gCSjU7kqbb58k5WAUbPCiKj7mLg0yBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:41:53.889622Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.08914","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:13dc586b489332038c54808aba821dcdd9cb7d7c5fcc89a86683efc1ec8d0f98","sha256:1bff8ebf6d72e3e2f2a9de40032d8c2cecb1a257c03de0ef645476c2da4f2905"],"state_sha256":"293b04430e5e40e320ab7bee37dca5283bb9b76ee07d81551251744cb09ef923"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PGwyfnqGaO78erQs1N7gopNbGhFLHcLc5NQLlRfxDCivdX0L0dd2LxEaeWF39j68uajMK/OFkvNNn5NEeApeCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T13:32:38.877940Z","bundle_sha256":"5e7b84a5cb4b17cadbcb49ce5318356ab49e72bf7009480778fa735fc167e79c"}}