{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PDGXW56F2WXIEVBKBZVWXDAR6Q","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":"1102458064a705b24a179ca975ce332513337c0713efc28286efe32ddb1e1b2d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-12T15:17:30Z","title_canon_sha256":"d89390f662f8adb15b67a9de5b7341d327742f98726c04b6b7c4c6c07f2eda79"},"schema_version":"1.0","source":{"id":"2508.09005","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.09005","created_at":"2026-07-05T11:52:38Z"},{"alias_kind":"arxiv_version","alias_value":"2508.09005v1","created_at":"2026-07-05T11:52:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.09005","created_at":"2026-07-05T11:52:38Z"},{"alias_kind":"pith_short_12","alias_value":"PDGXW56F2WXI","created_at":"2026-07-05T11:52:38Z"},{"alias_kind":"pith_short_16","alias_value":"PDGXW56F2WXIEVBK","created_at":"2026-07-05T11:52:38Z"},{"alias_kind":"pith_short_8","alias_value":"PDGXW56F","created_at":"2026-07-05T11:52:38Z"}],"graph_snapshots":[{"event_id":"sha256:108f8739bd1c18e509380a34f4980ac97ed21fff86b9d3bb12d8622b628fc718","target":"graph","created_at":"2026-07-05T11:52:38Z","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/2508.09005/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Designing mechanical mechanisms to trace specific paths is a classic yet notoriously difficult engineering problem, characterized by a vast and complex search space of discrete topologies and continuous parameters. We introduce MechaFormer, a Transformer-based model that tackles this challenge by treating mechanism design as a conditional sequence generation task. Our model learns to translate a target curve into a domain-specific language (DSL) string, simultaneously determining the mechanism's topology and geometric parameters in a single, unified process. MechaFormer significantly outperfor","authors_text":"Diana Bolanos, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-12T15:17:30Z","title":"MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.09005","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":"sha256:0fd3ccfe51d6f0b3f073232008bd2170c863ecfdedbf6b570a101ae4715e21e0","target":"record","created_at":"2026-07-05T11:52:38Z","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":"1102458064a705b24a179ca975ce332513337c0713efc28286efe32ddb1e1b2d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-12T15:17:30Z","title_canon_sha256":"d89390f662f8adb15b67a9de5b7341d327742f98726c04b6b7c4c6c07f2eda79"},"schema_version":"1.0","source":{"id":"2508.09005","kind":"arxiv","version":1}},"canonical_sha256":"78cd7b77c5d5ae82542a0e6b6b8c11f405a5d9807258a4671e6313616cfe9988","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78cd7b77c5d5ae82542a0e6b6b8c11f405a5d9807258a4671e6313616cfe9988","first_computed_at":"2026-07-05T11:52:38.227024Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:52:38.227024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tNtmJm4zsGVE97CcYwL9P8CaUQR9RXslMn5/MDCU5Dgl6Hc1SvPD7cGDKubu/NuAvJsBfeOt7xO+ToiFBxhJCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:52:38.227513Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.09005","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0fd3ccfe51d6f0b3f073232008bd2170c863ecfdedbf6b570a101ae4715e21e0","sha256:108f8739bd1c18e509380a34f4980ac97ed21fff86b9d3bb12d8622b628fc718"],"state_sha256":"a7738661c431e0e9b76d3cbb933e12ab1a5365d4b9314f9189eef9f15569a9fa"}