{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FZBMPPY4FYDJNZ3NAASM2LN5CY","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":"29bad57355832cdabd16be0a247154f43cd63679332ddc982c24e95eb7ee580c","cross_cats_sorted":["cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-11T11:00:39Z","title_canon_sha256":"a40c303229a5fd3f6ec937db22863b2f4b27adee904abd0de8a249ad15fbce25"},"schema_version":"1.0","source":{"id":"2412.08286","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08286","created_at":"2026-07-05T11:59:55Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08286v1","created_at":"2026-07-05T11:59:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08286","created_at":"2026-07-05T11:59:55Z"},{"alias_kind":"pith_short_12","alias_value":"FZBMPPY4FYDJ","created_at":"2026-07-05T11:59:55Z"},{"alias_kind":"pith_short_16","alias_value":"FZBMPPY4FYDJNZ3N","created_at":"2026-07-05T11:59:55Z"},{"alias_kind":"pith_short_8","alias_value":"FZBMPPY4","created_at":"2026-07-05T11:59:55Z"}],"graph_snapshots":[{"event_id":"sha256:b7f04f6c1ae3e6728018ba181f4656a6c55f3640a3f1182a0cbe58dc8bfa0ddd","target":"graph","created_at":"2026-07-05T11:59:55Z","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/2412.08286/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bolted joints are critical in engineering for maintaining structural integrity and reliability. Accurate prediction of parameters influencing their function and behavior is essential for optimal performance. Traditional methods often fail to capture the non-linear behavior of bolted joints or require significant computational resources, limiting accuracy and efficiency. This study addresses these limitations by combining empirical data with a feed-forward neural network to predict load capacity and friction coefficients. Leveraging experimental data and systematic preprocessing, the model effe","authors_text":"Andreas Wettstein, Ines Boujnah, Nehal Afifi, Sven Matthiesen","cross_cats":["cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-11T11:00:39Z","title":"Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08286","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:c66421a3e4d3290d27b2f9d306d9c94b478c102c7672580d76329122108e6d37","target":"record","created_at":"2026-07-05T11:59:55Z","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":"29bad57355832cdabd16be0a247154f43cd63679332ddc982c24e95eb7ee580c","cross_cats_sorted":["cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-11T11:00:39Z","title_canon_sha256":"a40c303229a5fd3f6ec937db22863b2f4b27adee904abd0de8a249ad15fbce25"},"schema_version":"1.0","source":{"id":"2412.08286","kind":"arxiv","version":1}},"canonical_sha256":"2e42c7bf1c2e0696e76d0024cd2dbd1626bda45f31dff2d5c3d652a9727949ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2e42c7bf1c2e0696e76d0024cd2dbd1626bda45f31dff2d5c3d652a9727949ac","first_computed_at":"2026-07-05T11:59:55.788768Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:59:55.788768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NkBu0Eazt9LK3cyuu6fHGqZr6yP68iEr3NCfxR1CnMOJG8nnVq6Vm37bTHktJQ2zxxKPqRKwZvnRlK1eCzbHCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:59:55.789203Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08286","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c66421a3e4d3290d27b2f9d306d9c94b478c102c7672580d76329122108e6d37","sha256:b7f04f6c1ae3e6728018ba181f4656a6c55f3640a3f1182a0cbe58dc8bfa0ddd"],"state_sha256":"d606d22098a6556330b0609a50e41ff7b7c8d2a08e1f2aa567f3bb0be4b9eb3c"}