{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QRTKL3RJDHGDA22PNTB5S4MPYB","short_pith_number":"pith:QRTKL3RJ","canonical_record":{"source":{"id":"2409.17106","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-25T17:19:33Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"641fe181724e81c26158108cfde207df5d0f41e81e0ee6f114ee10b3b29e636b","abstract_canon_sha256":"dc249fecf7474d1d6a3060c8d7b3cb86fca57978b5cebba9c7992ba59645f2b8"},"schema_version":"1.0"},"canonical_sha256":"8466a5ee2919cc306b4f6cc3d9718fc079f81899706681835e544895d9bf6e8b","source":{"kind":"arxiv","id":"2409.17106","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.17106","created_at":"2026-07-05T09:11:44Z"},{"alias_kind":"arxiv_version","alias_value":"2409.17106v1","created_at":"2026-07-05T09:11:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17106","created_at":"2026-07-05T09:11:44Z"},{"alias_kind":"pith_short_12","alias_value":"QRTKL3RJDHGD","created_at":"2026-07-05T09:11:44Z"},{"alias_kind":"pith_short_16","alias_value":"QRTKL3RJDHGDA22P","created_at":"2026-07-05T09:11:44Z"},{"alias_kind":"pith_short_8","alias_value":"QRTKL3RJ","created_at":"2026-07-05T09:11:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QRTKL3RJDHGDA22PNTB5S4MPYB","target":"record","payload":{"canonical_record":{"source":{"id":"2409.17106","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-25T17:19:33Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"641fe181724e81c26158108cfde207df5d0f41e81e0ee6f114ee10b3b29e636b","abstract_canon_sha256":"dc249fecf7474d1d6a3060c8d7b3cb86fca57978b5cebba9c7992ba59645f2b8"},"schema_version":"1.0"},"canonical_sha256":"8466a5ee2919cc306b4f6cc3d9718fc079f81899706681835e544895d9bf6e8b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:11:44.223796Z","signature_b64":"zuTT08NigzKctgGr0MYASSeEOpPpmmGyYui0ZTuwRnGlYJLIpSr+sK8EYm8HtC0qeNKzwpUt7TyaOX2hRm+nCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8466a5ee2919cc306b4f6cc3d9718fc079f81899706681835e544895d9bf6e8b","last_reissued_at":"2026-07-05T09:11:44.223307Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:11:44.223307Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.17106","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":"2026-07-05T09:11:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bdpxDf4ctgzQA9w/1zVNuFQau7uvwJ5rbFT6ItImdmN2qLzlwM4VJwM7f26er9CZr03XnOVQ7wR7rSHVadQoDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:13:22.817821Z"},"content_sha256":"a36dc84e06197ed0c987b466053f3b3e457ddad6064e02fb16573c82d9a08216","schema_version":"1.0","event_id":"sha256:a36dc84e06197ed0c987b466053f3b3e457ddad6064e02fb16573c82d9a08216"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QRTKL3RJDHGDA22PNTB5S4MPYB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Didier Stricker, Mohammad Sadil Khan, Muhammad Zeshan Afzal, Sankalp Sinha, Sk Aziz Ali, Talha Uddin Sheikh","submitted_at":"2024-09-25T17:19:33Z","abstract_excerpt":"Prototyping complex computer-aided design (CAD) models in modern softwares can be very time-consuming. This is due to the lack of intelligent systems that can quickly generate simpler intermediate parts. We propose Text2CAD, the first AI framework for generating text-to-parametric CAD models using designer-friendly instructions for all skill levels. Furthermore, we introduce a data annotation pipeline for generating text prompts based on natural language instructions for the DeepCAD dataset using Mistral and LLaVA-NeXT. The dataset contains $\\sim170$K models and $\\sim660$K text annotations, fr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17106","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/2409.17106/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":"2026-07-05T09:11:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zQeyzvGpCH7ER9WmTiZglCHDQjNdvy00hM3suBs11HYL86SXqPA2W/pVNk9WbcatrG1rEyL9FfK8zF+XnSTZBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:13:22.818237Z"},"content_sha256":"c3f2facf005f2f2ab2beefbf2e71af1048eeebf7c0bf01a085fd6bc9dab556c5","schema_version":"1.0","event_id":"sha256:c3f2facf005f2f2ab2beefbf2e71af1048eeebf7c0bf01a085fd6bc9dab556c5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QRTKL3RJDHGDA22PNTB5S4MPYB/bundle.json","state_url":"https://pith.science/pith/QRTKL3RJDHGDA22PNTB5S4MPYB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QRTKL3RJDHGDA22PNTB5S4MPYB/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":"2026-07-07T06:13:22Z","links":{"resolver":"https://pith.science/pith/QRTKL3RJDHGDA22PNTB5S4MPYB","bundle":"https://pith.science/pith/QRTKL3RJDHGDA22PNTB5S4MPYB/bundle.json","state":"https://pith.science/pith/QRTKL3RJDHGDA22PNTB5S4MPYB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QRTKL3RJDHGDA22PNTB5S4MPYB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QRTKL3RJDHGDA22PNTB5S4MPYB","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":"dc249fecf7474d1d6a3060c8d7b3cb86fca57978b5cebba9c7992ba59645f2b8","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-25T17:19:33Z","title_canon_sha256":"641fe181724e81c26158108cfde207df5d0f41e81e0ee6f114ee10b3b29e636b"},"schema_version":"1.0","source":{"id":"2409.17106","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.17106","created_at":"2026-07-05T09:11:44Z"},{"alias_kind":"arxiv_version","alias_value":"2409.17106v1","created_at":"2026-07-05T09:11:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17106","created_at":"2026-07-05T09:11:44Z"},{"alias_kind":"pith_short_12","alias_value":"QRTKL3RJDHGD","created_at":"2026-07-05T09:11:44Z"},{"alias_kind":"pith_short_16","alias_value":"QRTKL3RJDHGDA22P","created_at":"2026-07-05T09:11:44Z"},{"alias_kind":"pith_short_8","alias_value":"QRTKL3RJ","created_at":"2026-07-05T09:11:44Z"}],"graph_snapshots":[{"event_id":"sha256:c3f2facf005f2f2ab2beefbf2e71af1048eeebf7c0bf01a085fd6bc9dab556c5","target":"graph","created_at":"2026-07-05T09:11:44Z","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/2409.17106/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prototyping complex computer-aided design (CAD) models in modern softwares can be very time-consuming. This is due to the lack of intelligent systems that can quickly generate simpler intermediate parts. We propose Text2CAD, the first AI framework for generating text-to-parametric CAD models using designer-friendly instructions for all skill levels. Furthermore, we introduce a data annotation pipeline for generating text prompts based on natural language instructions for the DeepCAD dataset using Mistral and LLaVA-NeXT. The dataset contains $\\sim170$K models and $\\sim660$K text annotations, fr","authors_text":"Didier Stricker, Mohammad Sadil Khan, Muhammad Zeshan Afzal, Sankalp Sinha, Sk Aziz Ali, Talha Uddin Sheikh","cross_cats":["cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-25T17:19:33Z","title":"Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17106","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:a36dc84e06197ed0c987b466053f3b3e457ddad6064e02fb16573c82d9a08216","target":"record","created_at":"2026-07-05T09:11:44Z","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":"dc249fecf7474d1d6a3060c8d7b3cb86fca57978b5cebba9c7992ba59645f2b8","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-25T17:19:33Z","title_canon_sha256":"641fe181724e81c26158108cfde207df5d0f41e81e0ee6f114ee10b3b29e636b"},"schema_version":"1.0","source":{"id":"2409.17106","kind":"arxiv","version":1}},"canonical_sha256":"8466a5ee2919cc306b4f6cc3d9718fc079f81899706681835e544895d9bf6e8b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8466a5ee2919cc306b4f6cc3d9718fc079f81899706681835e544895d9bf6e8b","first_computed_at":"2026-07-05T09:11:44.223307Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:11:44.223307Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zuTT08NigzKctgGr0MYASSeEOpPpmmGyYui0ZTuwRnGlYJLIpSr+sK8EYm8HtC0qeNKzwpUt7TyaOX2hRm+nCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:11:44.223796Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.17106","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a36dc84e06197ed0c987b466053f3b3e457ddad6064e02fb16573c82d9a08216","sha256:c3f2facf005f2f2ab2beefbf2e71af1048eeebf7c0bf01a085fd6bc9dab556c5"],"state_sha256":"e3a2e8df0965c75ad7a4e98f0d9600b1dbcc10ce0ecf4b03d5f4fb3e161c7f82"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SZhgUjs2rYmH++aIz1+BptYg8V88xYzPN5e+H6eShS+pHa5wiHtea+efoQM0kFGe1TLXtiJPEmUd8qJKa2/1Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T06:13:22.820376Z","bundle_sha256":"e6fd5668098c3c37656bde735017c8f027c56e9794bf119feea595264e77a55c"}}