{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:TFOHGQAT3DLJBK2QSG6YCM4QLO","short_pith_number":"pith:TFOHGQAT","canonical_record":{"source":{"id":"2007.08506","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-16T17:56:25Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"17907dbe376f305291ecfb4b56c31934dca268c3f3a84813f10dc555c6d808ea","abstract_canon_sha256":"cbd0bc789241cf4546664e88a183ca759d69fc45a4b9b79c7654327b1de0edef"},"schema_version":"1.0"},"canonical_sha256":"995c734013d8d690ab5091bd8133905b976665302bf8b06ce9985e882b5dcd9e","source":{"kind":"arxiv","id":"2007.08506","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:TFOHGQAT3DLJBK2QSG6YCM4QLO","target":"record","payload":{"canonical_record":{"source":{"id":"2007.08506","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-07-16T17:56:25Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"17907dbe376f305291ecfb4b56c31934dca268c3f3a84813f10dc555c6d808ea","abstract_canon_sha256":"cbd0bc789241cf4546664e88a183ca759d69fc45a4b9b79c7654327b1de0edef"},"schema_version":"1.0"},"canonical_sha256":"995c734013d8d690ab5091bd8133905b976665302bf8b06ce9985e882b5dcd9e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:19:48.258275Z","signature_b64":"rwSCkDfKV7Qh1j7Ns6Gt5wLrirngxwzMPJe0egGIVJD/rns0Vx7eOimUpWLt+c0SKBuJXV7+cvtOEFzeyWq+CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"995c734013d8d690ab5091bd8133905b976665302bf8b06ce9985e882b5dcd9e","last_reissued_at":"2026-07-05T01:19:48.257786Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:19:48.257786Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.08506","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:19:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F2phovyFWsLuR0dnQJ4SZnBT6vPtaZitWVIMHvwCrYpRqtMHiD7A3uY3mKWufkQZehgMEy5G2Wn/lltaxhS5BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:15:07.172398Z"},"content_sha256":"5f1a4dafab6cad9e417a90c553bcc6f06754195d115b7b1abb248de905ef547f","schema_version":"1.0","event_id":"sha256:5f1a4dafab6cad9e417a90c553bcc6f06754195d115b7b1abb248de905ef547f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:TFOHGQAT3DLJBK2QSG6YCM4QLO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Ari Seff, Ryan P. Adams, Wenda Zhou, Yaniv Ovadia","submitted_at":"2020-07-16T17:56:25Z","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 "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.08506","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2007.08506/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:19:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hsrb7D+rAZbyTSHj4ipZLf1rMZUGDgrvJ3RkjkWokiSVL3V6cGGd8DL4Tx9t48RllXy3YZocJRltE0Y++7D3CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:15:07.172890Z"},"content_sha256":"3aaf9edef2b36f0dd9bf9b62a08612ee5c38bb96a82be5c108480e6cb0716f8a","schema_version":"1.0","event_id":"sha256:3aaf9edef2b36f0dd9bf9b62a08612ee5c38bb96a82be5c108480e6cb0716f8a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TFOHGQAT3DLJBK2QSG6YCM4QLO/bundle.json","state_url":"https://pith.science/pith/TFOHGQAT3DLJBK2QSG6YCM4QLO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TFOHGQAT3DLJBK2QSG6YCM4QLO/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T08:15:07Z","links":{"resolver":"https://pith.science/pith/TFOHGQAT3DLJBK2QSG6YCM4QLO","bundle":"https://pith.science/pith/TFOHGQAT3DLJBK2QSG6YCM4QLO/bundle.json","state":"https://pith.science/pith/TFOHGQAT3DLJBK2QSG6YCM4QLO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TFOHGQAT3DLJBK2QSG6YCM4QLO/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pqSZEl7Q5iAB05XjWAhLDcMfLoP20lg1SMcf4hFTjRFcswDrz+nt0vWivmzSUzmf2L9pzaacJmAvSUgMat03Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T08:15:07.176342Z","bundle_sha256":"dab1f770214b5315bbfa5f3a77b4c29986a720c7ac2efdfc1b242b3977694183"}}