{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:TFOHGQAT3DLJBK2QSG6YCM4QLO","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":"cbd0bc789241cf4546664e88a183ca759d69fc45a4b9b79c7654327b1de0edef","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-16T17:56:25Z","title_canon_sha256":"17907dbe376f305291ecfb4b56c31934dca268c3f3a84813f10dc555c6d808ea"},"schema_version":"1.0","source":{"id":"2007.08506","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.08506","created_at":"2026-07-05T01:19:48Z"},{"alias_kind":"arxiv_version","alias_value":"2007.08506v1","created_at":"2026-07-05T01:19:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.08506","created_at":"2026-07-05T01:19:48Z"},{"alias_kind":"pith_short_12","alias_value":"TFOHGQAT3DLJ","created_at":"2026-07-05T01:19:48Z"},{"alias_kind":"pith_short_16","alias_value":"TFOHGQAT3DLJBK2Q","created_at":"2026-07-05T01:19:48Z"},{"alias_kind":"pith_short_8","alias_value":"TFOHGQAT","created_at":"2026-07-05T01:19:48Z"}],"graph_snapshots":[{"event_id":"sha256:3aaf9edef2b36f0dd9bf9b62a08612ee5c38bb96a82be5c108480e6cb0716f8a","target":"graph","created_at":"2026-07-05T01:19:48Z","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/2007.08506/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parametric computer-aided design (CAD) is the dominant paradigm in mechanical engineering for physical design. Distinguished by relational geometry, parametric CAD models begin as two-dimensional sketches consisting of geometric primitives (e.g., line segments, arcs) and explicit constraints between them (e.g., coincidence, perpendicularity) that form the basis for three-dimensional construction operations. Training machine learning models to reason about and synthesize parametric CAD designs has the potential to reduce design time and enable new design workflows. Additionally, parametric CAD ","authors_text":"Ari Seff, Ryan P. Adams, Wenda Zhou, Yaniv Ovadia","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-16T17:56:25Z","title":"SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.08506","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":"sha256:5f1a4dafab6cad9e417a90c553bcc6f06754195d115b7b1abb248de905ef547f","target":"record","created_at":"2026-07-05T01:19:48Z","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":"cbd0bc789241cf4546664e88a183ca759d69fc45a4b9b79c7654327b1de0edef","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-16T17:56:25Z","title_canon_sha256":"17907dbe376f305291ecfb4b56c31934dca268c3f3a84813f10dc555c6d808ea"},"schema_version":"1.0","source":{"id":"2007.08506","kind":"arxiv","version":1}},"canonical_sha256":"995c734013d8d690ab5091bd8133905b976665302bf8b06ce9985e882b5dcd9e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"995c734013d8d690ab5091bd8133905b976665302bf8b06ce9985e882b5dcd9e","first_computed_at":"2026-07-05T01:19:48.257786Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:19:48.257786Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rwSCkDfKV7Qh1j7Ns6Gt5wLrirngxwzMPJe0egGIVJD/rns0Vx7eOimUpWLt+c0SKBuJXV7+cvtOEFzeyWq+CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:19:48.258275Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.08506","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f1a4dafab6cad9e417a90c553bcc6f06754195d115b7b1abb248de905ef547f","sha256:3aaf9edef2b36f0dd9bf9b62a08612ee5c38bb96a82be5c108480e6cb0716f8a"],"state_sha256":"434fb5f71e3b28f76907d19f9d8be3e9eab898c719cd51736c91c8e9f9346e61"}