{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6BZ4BHCCF6ZIVRJ5TCNQRWRD76","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":"1bbcb4c875cf6d2f72e6b4d69630253c4d58a1b0cbfa0bd3f416a635a5954af9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T08:17:48Z","title_canon_sha256":"bd99eec9016caa9ed1178b30ab7a3d6ea5a5e525ac9bda50ce1efcd4b772e71f"},"schema_version":"1.0","source":{"id":"2606.19921","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19921","created_at":"2026-06-19T16:12:38Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19921v1","created_at":"2026-06-19T16:12:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19921","created_at":"2026-06-19T16:12:38Z"},{"alias_kind":"pith_short_12","alias_value":"6BZ4BHCCF6ZI","created_at":"2026-06-19T16:12:38Z"},{"alias_kind":"pith_short_16","alias_value":"6BZ4BHCCF6ZIVRJ5","created_at":"2026-06-19T16:12:38Z"},{"alias_kind":"pith_short_8","alias_value":"6BZ4BHCC","created_at":"2026-06-19T16:12:38Z"}],"graph_snapshots":[{"event_id":"sha256:7c229e1a55dcc385fc9f149aad2d73f5e125cc5d581da4f02a4a9a6b279ea5cd","target":"graph","created_at":"2026-06-19T16:12:38Z","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/2606.19921/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work proposes an element-based Convolutional Neural Network (CNN) to accelerate density-based Topology Optimization (TO), termed eCNNTO. TO generally undergoes a large number of iterations, where finite element analysis is performed in every iteration, leading to the efficiency bottleneck especially when dense meshes are used to achieve high-resolution designs. To address this limitation, eCNNTO is proposed to build upon Kallioras et al. (2020), where a Deep Belief Network (DBN) was trained for every element to predict its near-optimal density from its early history, thereby skipping the ","authors_text":"Shengbiao Lu, Xiaodong Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T08:17:48Z","title":"eCNNTO: A Highly Generalizable ConvNet for Accelerating Topology Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19921","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":"sha256:728ff83c0832965d82e920e12ffe00b5338fec7ac3a64fb5bfc11afac85e08be","target":"record","created_at":"2026-06-19T16:12:38Z","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":"1bbcb4c875cf6d2f72e6b4d69630253c4d58a1b0cbfa0bd3f416a635a5954af9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-18T08:17:48Z","title_canon_sha256":"bd99eec9016caa9ed1178b30ab7a3d6ea5a5e525ac9bda50ce1efcd4b772e71f"},"schema_version":"1.0","source":{"id":"2606.19921","kind":"arxiv","version":1}},"canonical_sha256":"f073c09c422fb28ac53d989b08da23ff9869b824871f3ec26e5d501915922b71","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f073c09c422fb28ac53d989b08da23ff9869b824871f3ec26e5d501915922b71","first_computed_at":"2026-06-19T16:12:38.752494Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:38.752494Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hZRAzdRZPwAnlphpTE/UiF24Zqn9Gl5m4z73UeUe3XNCozFFwKWHQAwGQ5afUqUPAI09y6hS+r6OjEWS5/xQCA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:38.752946Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19921","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:728ff83c0832965d82e920e12ffe00b5338fec7ac3a64fb5bfc11afac85e08be","sha256:7c229e1a55dcc385fc9f149aad2d73f5e125cc5d581da4f02a4a9a6b279ea5cd"],"state_sha256":"7b7f47dcb89b272b58b6131e77534489b4756cc4d9ef29877301dc0514526573"}