Pith Number

pith:7LBFXLED

pith:2026:7LBFXLEDUAAVRNZXTSBR5JGFLN

not attested not anchored not stored refs resolved

From Full and Partial Intraoral Scans to Crown Proposal: A Classification-Guided Restoration Assistance Pipeline

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

A classification-guided pipeline produces patient-specific crown proposals from partial intraoral scans in 2.5-3.5 minutes.

arxiv:2605.15241 v1 · 2026-05-14 · eess.IV · cs.CV · cs.LG

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\usepackage{pith}
\pithnumber{7LBFXLEDUAAVRNZXTSBR5JGFLN}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest 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.

C2weakest 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.

C3one 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.

References

32 extracted · 32 resolved · 2 Pith anchors

[1] The transformative role of artificial intelligence in dentistry: A comprehensive overview. Part 1: Fundamentals of AI, and its contemporary applications in dentistry, 2025

[2] Dilated dynamic graph CNN for efficient point cloud learning, 2022 · doi:10.1007/s10278-024-01061-6

[3] A critical analysis of the limitation of deep learning based 3D dental mesh segmentation methods in segmenting partial scans, 2023

[4] Effect of intraoral scanner and fixed partial denture situation on the scan accuracy of multiple implants: an in vitro study, 2016

[5] Effect of scanned area and operator on the accuracy of dentate arch scans with a single implant, 2016

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:00:48.055964Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

fac25bac83a00158b7379c831ea4c55b6bdc748a6b2782959449301a7d629b5e

Aliases

arxiv: 2605.15241 · arxiv_version: 2605.15241v1 · doi: 10.48550/arxiv.2605.15241 · pith_short_12: 7LBFXLEDUAAV · pith_short_16: 7LBFXLEDUAAVRNZX · pith_short_8: 7LBFXLED

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/7LBFXLEDUAAVRNZXTSBR5JGFLN \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: fac25bac83a00158b7379c831ea4c55b6bdc748a6b2782959449301a7d629b5e

Canonical record JSON

{
  "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
  }
}