Pith Number

pith:Y46AJAL4

pith:2025:Y46AJAL477SAB43RDBSDMQX74G

not attested not anchored not stored refs pending

A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model

Cheng Jin, Fengtao Zhou, Fuxiang Huang, Hao Chen, Jiabo Ma, Junlin Hou, Li Liang, Ronald Cheong Kin Chan, Xi Wang, Yihui Wang, Yingxue Xu, Zhengrui Guo, Zhengyu Zhang, Zhe Xu, Zhixuan Chen, Ziyi Liu

arxiv:2507.17303 v2 · 2025-07-23 · eess.IV · cs.AI · cs.CV

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{Y46AJAL477SAB43RDBSDMQX74G}

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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

✓ Portable graph bundle live · download bundle · merged state

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.

Cited by

6 papers in Pith

Enhancing Pathological VLMs with Cross-scale Reasoning

A Multi-modal Agentic Co-pilot for Evidence Grounded Computational Pathology

PathoSage: Towards Multi-Source Evidence Adjudication in Pathology via Experience-Aware Agentic Workflow

Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling

DALPHIN: Benchmarking Digital Pathology AI Copilots Against Pathologists on an Open Multicentric Dataset

Receipt and verification

First computed	2026-07-05T11:55:41.552034Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c73c04817cffe400f37118643642ffe189ca21bae3c5a9f83afde6fcc1dc04a6

Aliases

arxiv: 2507.17303 · arxiv_version: 2507.17303v2 · doi: 10.48550/arxiv.2507.17303 · pith_short_12: Y46AJAL477SA · pith_short_16: Y46AJAL477SAB43R · pith_short_8: Y46AJAL4

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/Y46AJAL477SAB43RDBSDMQX74G \
  | 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: c73c04817cffe400f37118643642ffe189ca21bae3c5a9f83afde6fcc1dc04a6

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d65710ed4788e3c721bc5076144d138e315502842e85e866e4e3338974fe3e8d",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "eess.IV",
    "submitted_at": "2025-07-23T08:09:42Z",
    "title_canon_sha256": "5924f23225c48a57024e7f535e091bc9e85a161bfd85923f3e88ddecab432f5f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2507.17303",
    "kind": "arxiv",
    "version": 2
  }
}