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pith:QVBGNOBZ

pith:2026:QVBGNOBZUWII24Y4WOHSG7S2UO
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TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents

Guangshun Wei, Lu Yin, Shaojie Zhuang, Xilu Wang, Yuanfeng Zhou, Yunpeng Li

TSegAgent achieves zero-shot tooth segmentation in 3D dental scans by turning the task into geometry-grounded reasoning with vision-language agents.

arxiv:2603.19684 v3 · 2026-03-20 · cs.CV

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4 Citations open
5 Replications open
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Claims

C1strongest claim

Experimental results demonstrate that this reasoning-oriented formulation enables accurate and reliable tooth segmentation and identification with low computational and annotation cost, while exhibiting strong generalization across diverse and previously unseen dental scans.

C2weakest assumption

That multi-view visual abstraction combined with geometry-grounded reasoning from general foundation models can reliably infer tooth instances and identities solely from encoded dental anatomy constraints such as arch organization and volumetric relationships, without any task-specific training.

C3one line summary

TSegAgent achieves accurate zero-shot tooth segmentation on 3D dental scans via geometry-aware vision-language reasoning without task-specific training.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-06-24T01:14:27.087724Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

854266b839a5908d731cb38f237e5aa38ec0703c21f9e864355c1fd9dc8d957f

Aliases

arxiv: 2603.19684 · arxiv_version: 2603.19684v3 · doi: 10.48550/arxiv.2603.19684 · pith_short_12: QVBGNOBZUWII · pith_short_16: QVBGNOBZUWII24Y4 · pith_short_8: QVBGNOBZ
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QVBGNOBZUWII24Y4WOHSG7S2UO \
  | 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: 854266b839a5908d731cb38f237e5aa38ec0703c21f9e864355c1fd9dc8d957f
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-03-20T06:32:16Z",
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