{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:C6K6YT5BMPR3KJPM3MWDIBPWIB","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":"98cc0f9c1abf2dc36ebee48845f428f7734c1a9f70be6e5801f89c8931ffe5e9","cross_cats_sorted":["cs.LG","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-11-21T20:21:28Z","title_canon_sha256":"0a084e19e63ccbbffdc3ffcf3556039082c8b4ea8ffb5a7af91a3b02920cb46f"},"schema_version":"1.0","source":{"id":"2011.10861","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.10861","created_at":"2026-07-05T01:53:26Z"},{"alias_kind":"arxiv_version","alias_value":"2011.10861v1","created_at":"2026-07-05T01:53:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.10861","created_at":"2026-07-05T01:53:26Z"},{"alias_kind":"pith_short_12","alias_value":"C6K6YT5BMPR3","created_at":"2026-07-05T01:53:26Z"},{"alias_kind":"pith_short_16","alias_value":"C6K6YT5BMPR3KJPM","created_at":"2026-07-05T01:53:26Z"},{"alias_kind":"pith_short_8","alias_value":"C6K6YT5B","created_at":"2026-07-05T01:53:26Z"}],"graph_snapshots":[{"event_id":"sha256:01e14ed6e162e4e695034ddd7d5a23cc4e14df7d7de0f4f34d37610b9b7081f1","target":"graph","created_at":"2026-07-05T01:53:26Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2011.10861/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Developing machine learning enabled smart manufacturing is promising for composite structures assembly process. To improve production quality and efficiency of the assembly process, accurate predictive analysis on dimensional deviations and residual stress of the composite structures is required. The novel composite structures assembly involves two challenges: (i) the highly nonlinear and anisotropic properties of composite materials; and (ii) inevitable uncertainty in the assembly process. To overcome those problems, we propose a neural network Gaussian process model considering input uncerta","authors_text":"Cheolhei Lee, Jianguo Wu, Wenjia Wang, Xiaowei Yue","cross_cats":["cs.LG","stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-11-21T20:21:28Z","title":"Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.10861","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:d0d770fe45f57906a5e7550d56249c2f7842f6fb62dddb937d408c4f8b164d01","target":"record","created_at":"2026-07-05T01:53:26Z","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":"98cc0f9c1abf2dc36ebee48845f428f7734c1a9f70be6e5801f89c8931ffe5e9","cross_cats_sorted":["cs.LG","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-11-21T20:21:28Z","title_canon_sha256":"0a084e19e63ccbbffdc3ffcf3556039082c8b4ea8ffb5a7af91a3b02920cb46f"},"schema_version":"1.0","source":{"id":"2011.10861","kind":"arxiv","version":1}},"canonical_sha256":"1795ec4fa163e3b525ecdb2c3405f64054e069e3b2be7e9f79e7434aadac0ef8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1795ec4fa163e3b525ecdb2c3405f64054e069e3b2be7e9f79e7434aadac0ef8","first_computed_at":"2026-07-05T01:53:26.725257Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:53:26.725257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"miivn2rIW9WGpqaaxKUbzH3JVXS2GYFPykT5y3XvOyOTv6QocFuRt8BYNKvs6eD60+tKEMxYuee+s+imJvcfBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:53:26.725679Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.10861","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d0d770fe45f57906a5e7550d56249c2f7842f6fb62dddb937d408c4f8b164d01","sha256:01e14ed6e162e4e695034ddd7d5a23cc4e14df7d7de0f4f34d37610b9b7081f1"],"state_sha256":"c660a79e070e6a9cbe62b18134ae482de72ede0c01bec56db02186f5e18f7351"}