{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:7LBFXLEDUAAVRNZXTSBR5JGFLN","short_pith_number":"pith:7LBFXLED","canonical_record":{"source":{"id":"2605.15241","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-05-14T06:05:32Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"6f76c05cbafbf6f66ef1bdeeae6523d526f803eb97e4d83eed6a7210cf0a1f1d","abstract_canon_sha256":"3f716a590598fa93aa56e5d53b37089d0ae34db1635142735fe89fd2405dbeb4"},"schema_version":"1.0"},"canonical_sha256":"fac25bac83a00158b7379c831ea4c55b6bdc748a6b2782959449301a7d629b5e","source":{"kind":"arxiv","id":"2605.15241","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15241","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15241v1","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15241","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_12","alias_value":"7LBFXLEDUAAV","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_16","alias_value":"7LBFXLEDUAAVRNZX","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_8","alias_value":"7LBFXLED","created_at":"2026-05-20T00:00:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:7LBFXLEDUAAVRNZXTSBR5JGFLN","target":"record","payload":{"canonical_record":{"source":{"id":"2605.15241","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-05-14T06:05:32Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"6f76c05cbafbf6f66ef1bdeeae6523d526f803eb97e4d83eed6a7210cf0a1f1d","abstract_canon_sha256":"3f716a590598fa93aa56e5d53b37089d0ae34db1635142735fe89fd2405dbeb4"},"schema_version":"1.0"},"canonical_sha256":"fac25bac83a00158b7379c831ea4c55b6bdc748a6b2782959449301a7d629b5e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:00:48.056831Z","signature_b64":"ksll/KXf30LiDFrvmGR0n0chs0298CNrvARWgh0BY0EEqfLEIVfLUdP4ETb0MtKNtISqxNHF7TpeCgAnifhZBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fac25bac83a00158b7379c831ea4c55b6bdc748a6b2782959449301a7d629b5e","last_reissued_at":"2026-05-20T00:00:48.055964Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:00:48.055964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.15241","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":"2026-05-20T00:00:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PrNDSJ484sWsXpk83U40oNrWzU8QAWDyQs/tM7KYQXuRVrCF99C1J3UfQcjJwbg38P2ga7xN5fs5iY7VUNW4Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:15:02.932976Z"},"content_sha256":"53d808cde22c9d830c07e78d4272fefa517733b3d414d3b3e54d5ed5448ba724","schema_version":"1.0","event_id":"sha256:53d808cde22c9d830c07e78d4272fefa517733b3d414d3b3e54d5ed5448ba724"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:7LBFXLEDUAAVRNZXTSBR5JGFLN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Full and Partial Intraoral Scans to Crown Proposal: A Classification-Guided Restoration Assistance Pipeline","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"A classification-guided pipeline produces patient-specific crown proposals from partial intraoral scans in 2.5-3.5 minutes.","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Akio Tanaka, Amit Regmi, Dikshya Parajuli, Kennta Kashiwazaki, Kundan Siwakoti, Louis Digiorgio, Manabu Kanazawa, Masahiko Inada, Prince Panta, Rabin Kunwar, Romik Gosai, Rujal Acharya, Saugat Kafley, Shuvangi Adhikari, Yuriko Komagamine","submitted_at":"2026-05-14T06:05:32Z","abstract_excerpt":"Single-unit crown restoration is among the most common procedures in clinical dentistry, with CAD/CAM workflows now designing crowns directly from intraoral scans. Partial scans are often preferred over full-arch scans for single-unit cases due to fewer stitching errors, yet most segmentation networks trained on full arches fail on partial scans, while end-to-end generative crown methods often produce over-smoothed surfaces that lose occlusal detail. We propose an end-to-end pipeline that takes a raw intraoral scan and target FDI tooth number as input and outputs an initial, patient-specific c"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"The pipeline produces a preliminary crown shell in 2.5-3.5 minutes, offering a practical alternative to end-to-end generative approaches, with macro-average DSC 0.9249, Recall 0.8919, and Precision 0.9615 across 17 classes on 1,958 partial scans and sub-millimeter centroid errors (0.2666-0.2774 mm) for the prepared tooth and neighbors.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The retrieval step assumes that cosine similarity over DGCNN embeddings of neighboring and opposing teeth will surface geometrically suitable crown candidates for the specific patient anatomy; this premise is invoked in the context-aware retrieval and Blender fitting phase and is required for the output to be clinically usable rather than merely plausible.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"A classification-routed pipeline segments partial and full intraoral scans then retrieves and fits crown proposals from neighboring teeth embeddings, reporting macro DSC 0.9249 on 1958 partial scans.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"A classification-guided pipeline produces patient-specific crown proposals from partial intraoral scans in 2.5-3.5 minutes.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"4f2e67d5cfe9a9dc2ebc2473be969708f2f5352dc170aa04fc5e8053ab248edc"},"source":{"id":"2605.15241","kind":"arxiv","version":1},"verdict":{"id":"c9fd99cc-4ba5-42a4-a8ad-ac4208e1d276","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-19T16:10:27.460117Z","strongest_claim":"The pipeline produces a preliminary crown shell in 2.5-3.5 minutes, offering a practical alternative to end-to-end generative approaches, with macro-average DSC 0.9249, Recall 0.8919, and Precision 0.9615 across 17 classes on 1,958 partial scans and sub-millimeter centroid errors (0.2666-0.2774 mm) for the prepared tooth and neighbors.","one_line_summary":"A classification-routed pipeline segments partial and full intraoral scans then retrieves and fits crown proposals from neighboring teeth embeddings, reporting macro DSC 0.9249 on 1958 partial scans.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The retrieval step assumes that cosine similarity over DGCNN embeddings of neighboring and opposing teeth will surface geometrically suitable crown candidates for the specific patient anatomy; this premise is invoked in the context-aware retrieval and Blender fitting phase and is required for the output to be clinically usable rather than merely plausible.","pith_extraction_headline":"A classification-guided pipeline produces patient-specific crown proposals from partial intraoral scans in 2.5-3.5 minutes."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.15241/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"doi_title_agreement","ran_at":"2026-05-19T16:31:18.463551Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T16:27:11.584607Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T16:01:54.837032Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T13:33:22.822746Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"f2cb5b0ae3a502fa6f58f5a558ace3f9e9e789cb9959b1ea795826e5fc52395f"},"references":{"count":32,"sample":[{"doi":"","year":2025,"title":"The transformative role of artificial intelligence in dentistry: A comprehensive overview. Part 1: Fundamentals of AI, and its contemporary applications in dentistry,","work_id":"169b2f87-1e40-4b92-b402-2ebb583e696d","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"10.1007/s10278-024-01061-6","year":2022,"title":"Dilated dynamic graph CNN for efficient point cloud learning,","work_id":"b5210199-1106-4e3c-b7c9-95ccb139103b","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2023,"title":"A critical analysis of the limitation of deep learning based 3D dental mesh segmentation methods in segmenting partial scans,","work_id":"98ae591b-e18b-4d9e-a749-43ef41f1bd61","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2016,"title":"Effect of intraoral scanner and fixed partial denture situation on the scan accuracy of multiple implants: an in vitro study,","work_id":"b318c504-7eaa-4e3f-ad00-86ebc8016301","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2016,"title":"Effect of scanned area and operator on the accuracy of dentate arch scans with a single implant,","work_id":"2cbab15d-5be5-4965-a50b-9d33411d28e3","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":32,"snapshot_sha256":"98b03809e23040b935b87a7d0b6aa04f8d2d419c4a7150c76bcb6e9486f7f160","internal_anchors":2},"formal_canon":{"evidence_count":2,"snapshot_sha256":"a9d3ab1aa0725ea240565a67909c3378002d409ddb54f35f093d4bb5b42ed7ce"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":"c9fd99cc-4ba5-42a4-a8ad-ac4208e1d276"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:00:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xFwzpwF3u7z/rZCpoC7uKWdOruQ5dQwK/6Nkj4l+mVWFiPIOTWWxamOYSyFGGZEbzBpV/VU9veEgzAmsbGxZCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:15:02.934243Z"},"content_sha256":"2801725c03ba3a06b839c04ba72012915d60a6691ebf4eda07e691674a2b64e8","schema_version":"1.0","event_id":"sha256:2801725c03ba3a06b839c04ba72012915d60a6691ebf4eda07e691674a2b64e8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7LBFXLEDUAAVRNZXTSBR5JGFLN/bundle.json","state_url":"https://pith.science/pith/7LBFXLEDUAAVRNZXTSBR5JGFLN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7LBFXLEDUAAVRNZXTSBR5JGFLN/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":"2026-05-25T21:15:02Z","links":{"resolver":"https://pith.science/pith/7LBFXLEDUAAVRNZXTSBR5JGFLN","bundle":"https://pith.science/pith/7LBFXLEDUAAVRNZXTSBR5JGFLN/bundle.json","state":"https://pith.science/pith/7LBFXLEDUAAVRNZXTSBR5JGFLN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7LBFXLEDUAAVRNZXTSBR5JGFLN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7LBFXLEDUAAVRNZXTSBR5JGFLN","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":"3f716a590598fa93aa56e5d53b37089d0ae34db1635142735fe89fd2405dbeb4","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-05-14T06:05:32Z","title_canon_sha256":"6f76c05cbafbf6f66ef1bdeeae6523d526f803eb97e4d83eed6a7210cf0a1f1d"},"schema_version":"1.0","source":{"id":"2605.15241","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15241","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15241v1","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15241","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_12","alias_value":"7LBFXLEDUAAV","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_16","alias_value":"7LBFXLEDUAAVRNZX","created_at":"2026-05-20T00:00:48Z"},{"alias_kind":"pith_short_8","alias_value":"7LBFXLED","created_at":"2026-05-20T00:00:48Z"}],"graph_snapshots":[{"event_id":"sha256:2801725c03ba3a06b839c04ba72012915d60a6691ebf4eda07e691674a2b64e8","target":"graph","created_at":"2026-05-20T00:00:48Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"The pipeline produces a preliminary crown shell in 2.5-3.5 minutes, offering a practical alternative to end-to-end generative approaches, with macro-average DSC 0.9249, Recall 0.8919, and Precision 0.9615 across 17 classes on 1,958 partial scans and sub-millimeter centroid errors (0.2666-0.2774 mm) for the prepared tooth and neighbors."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"The retrieval step assumes that cosine similarity over DGCNN embeddings of neighboring and opposing teeth will surface geometrically suitable crown candidates for the specific patient anatomy; this premise is invoked in the context-aware retrieval and Blender fitting phase and is required for the output to be clinically usable rather than merely plausible."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"A classification-routed pipeline segments partial and full intraoral scans then retrieves and fits crown proposals from neighboring teeth embeddings, reporting macro DSC 0.9249 on 1958 partial scans."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"A classification-guided pipeline produces patient-specific crown proposals from partial intraoral scans in 2.5-3.5 minutes."}],"snapshot_sha256":"4f2e67d5cfe9a9dc2ebc2473be969708f2f5352dc170aa04fc5e8053ab248edc"},"formal_canon":{"evidence_count":2,"snapshot_sha256":"a9d3ab1aa0725ea240565a67909c3378002d409ddb54f35f093d4bb5b42ed7ce"},"integrity":{"available":true,"clean":true,"detectors_run":[{"findings_count":0,"name":"doi_title_agreement","ran_at":"2026-05-19T16:31:18.463551Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"doi_compliance","ran_at":"2026-05-19T16:27:11.584607Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T16:01:54.837032Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T13:33:22.822746Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.15241/integrity.json","findings":[],"snapshot_sha256":"f2cb5b0ae3a502fa6f58f5a558ace3f9e9e789cb9959b1ea795826e5fc52395f","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Single-unit crown restoration is among the most common procedures in clinical dentistry, with CAD/CAM workflows now designing crowns directly from intraoral scans. Partial scans are often preferred over full-arch scans for single-unit cases due to fewer stitching errors, yet most segmentation networks trained on full arches fail on partial scans, while end-to-end generative crown methods often produce over-smoothed surfaces that lose occlusal detail. We propose an end-to-end pipeline that takes a raw intraoral scan and target FDI tooth number as input and outputs an initial, patient-specific c","authors_text":"Akio Tanaka, Amit Regmi, Dikshya Parajuli, Kennta Kashiwazaki, Kundan Siwakoti, Louis Digiorgio, Manabu Kanazawa, Masahiko Inada, Prince Panta, Rabin Kunwar, Romik Gosai, Rujal Acharya, Saugat Kafley, Shuvangi Adhikari, Yuriko Komagamine","cross_cats":["cs.CV","cs.LG"],"headline":"A classification-guided pipeline produces patient-specific crown proposals from partial intraoral scans in 2.5-3.5 minutes.","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-05-14T06:05:32Z","title":"From Full and Partial Intraoral Scans to Crown Proposal: A Classification-Guided Restoration Assistance Pipeline"},"references":{"count":32,"internal_anchors":2,"resolved_work":32,"sample":[{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":1,"title":"The transformative role of artificial intelligence in dentistry: A comprehensive overview. Part 1: Fundamentals of AI, and its contemporary applications in dentistry,","work_id":"169b2f87-1e40-4b92-b402-2ebb583e696d","year":2025},{"cited_arxiv_id":"","doi":"10.1007/s10278-024-01061-6","is_internal_anchor":false,"ref_index":2,"title":"Dilated dynamic graph CNN for efficient point cloud learning,","work_id":"b5210199-1106-4e3c-b7c9-95ccb139103b","year":2022},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"A critical analysis of the limitation of deep learning based 3D dental mesh segmentation methods in segmenting partial scans,","work_id":"98ae591b-e18b-4d9e-a749-43ef41f1bd61","year":2023},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"Effect of intraoral scanner and fixed partial denture situation on the scan accuracy of multiple implants: an in vitro study,","work_id":"b318c504-7eaa-4e3f-ad00-86ebc8016301","year":2016},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"Effect of scanned area and operator on the accuracy of dentate arch scans with a single implant,","work_id":"2cbab15d-5be5-4965-a50b-9d33411d28e3","year":2016}],"snapshot_sha256":"98b03809e23040b935b87a7d0b6aa04f8d2d419c4a7150c76bcb6e9486f7f160"},"source":{"id":"2605.15241","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-19T16:10:27.460117Z","id":"c9fd99cc-4ba5-42a4-a8ad-ac4208e1d276","model_set":{"reader":"grok-4.3"},"one_line_summary":"A classification-routed pipeline segments partial and full intraoral scans then retrieves and fits crown proposals from neighboring teeth embeddings, reporting macro DSC 0.9249 on 1958 partial scans.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"A classification-guided pipeline produces patient-specific crown proposals from partial intraoral scans in 2.5-3.5 minutes.","strongest_claim":"The pipeline produces a preliminary crown shell in 2.5-3.5 minutes, offering a practical alternative to end-to-end generative approaches, with macro-average DSC 0.9249, Recall 0.8919, and Precision 0.9615 across 17 classes on 1,958 partial scans and sub-millimeter centroid errors (0.2666-0.2774 mm) for the prepared tooth and neighbors.","weakest_assumption":"The retrieval step assumes that cosine similarity over DGCNN embeddings of neighboring and opposing teeth will surface geometrically suitable crown candidates for the specific patient anatomy; this premise is invoked in the context-aware retrieval and Blender fitting phase and is required for the output to be clinically usable rather than merely plausible."}},"verdict_id":"c9fd99cc-4ba5-42a4-a8ad-ac4208e1d276"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:53d808cde22c9d830c07e78d4272fefa517733b3d414d3b3e54d5ed5448ba724","target":"record","created_at":"2026-05-20T00:00:48Z","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":"3f716a590598fa93aa56e5d53b37089d0ae34db1635142735fe89fd2405dbeb4","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-05-14T06:05:32Z","title_canon_sha256":"6f76c05cbafbf6f66ef1bdeeae6523d526f803eb97e4d83eed6a7210cf0a1f1d"},"schema_version":"1.0","source":{"id":"2605.15241","kind":"arxiv","version":1}},"canonical_sha256":"fac25bac83a00158b7379c831ea4c55b6bdc748a6b2782959449301a7d629b5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fac25bac83a00158b7379c831ea4c55b6bdc748a6b2782959449301a7d629b5e","first_computed_at":"2026-05-20T00:00:48.055964Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:00:48.055964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ksll/KXf30LiDFrvmGR0n0chs0298CNrvARWgh0BY0EEqfLEIVfLUdP4ETb0MtKNtISqxNHF7TpeCgAnifhZBw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:00:48.056831Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15241","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53d808cde22c9d830c07e78d4272fefa517733b3d414d3b3e54d5ed5448ba724","sha256:2801725c03ba3a06b839c04ba72012915d60a6691ebf4eda07e691674a2b64e8"],"state_sha256":"70284fa08ef0c8ee70d760ebc5db85db961ffdc983072382b58ca9934f0b1f21"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UYKy8IDrHOE+L0317SwpjmBdHVco/IGQ3nfmO07ql2poM0ZZCcu2Og7p7GoDvh4l1STT58nN+uGSD6IJA3auAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T21:15:02.939261Z","bundle_sha256":"8ac5c7bcee13397019f2890cb2d4cbb6193dc4d16051c2abaa55810479bc0927"}}