Pith Number

pith:K7ZDWONQ

pith:2026:K7ZDWONQWSV36SEUY2QJBJB7QY

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Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images

Ankita Shukla, Chandra Krishnan, Hairong Wang, Jian Yu, Jinrui Fang, Joakim Nguyen, Nicholas Konz, Sanjay Krishnan, Tianlong Chen, Ying Ding

Expert-guided contrastive fine-tuning improves fine-grained pediatric brain tumor classification from whole-slide images in low-data settings.

arxiv:2604.21060 v2 · 2026-04-22 · cs.CV

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\pithnumber{K7ZDWONQWSV36SEUY2QJBJB7QY}

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Record completeness

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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

Through comprehensive experiments on pediatric brain tumor WSI classification under realistic low-sample and class-imbalanced conditions, we demonstrate that contrastive fine-tuning yields measurable improvements in fine-grained diagnostic distinctions.

C2weakest assumption

That the expert-identified hard negatives correctly target diagnostically confusable subtypes and that any observed gains in representation geometry and classification metrics are attributable to the contrastive regularization rather than other training choices or dataset artifacts.

C3one line summary

An expert-guided contrastive fine-tuning framework improves fine-grained slide-level classification of pediatric brain tumors under low-data and class-imbalanced conditions by regularizing representations with clinically informed hard negatives.

Receipt and verification

First computed	2026-05-21T01:04:26.043086Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

57f23b39b0b4abbf4894c6a090a43f8624a920aa88fcd8eaaf5d88a3aee57805

Aliases

arxiv: 2604.21060 · arxiv_version: 2604.21060v2 · doi: 10.48550/arxiv.2604.21060 · pith_short_12: K7ZDWONQWSV3 · pith_short_16: K7ZDWONQWSV36SEU · pith_short_8: K7ZDWONQ

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/K7ZDWONQWSV36SEUY2QJBJB7QY \
  | 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: 57f23b39b0b4abbf4894c6a090a43f8624a920aa88fcd8eaaf5d88a3aee57805

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "67cd796bcb3e79c704f6991d432a322b3ba25b94b87337fe55e32265988f39d5",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-22T20:04:09Z",
    "title_canon_sha256": "933c394f5eba2a57eaab785b06a1a76e6428b6824ca5ba3c25665faacfb17389"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.21060",
    "kind": "arxiv",
    "version": 2
  }
}