Pith Number

pith:AEHJQOE6

pith:2024:AEHJQOE6AFCRCFR5FRRG4UOPIS

not attested not anchored not stored refs pending

M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Bo Zhao, Fan Bai, Max Q.-H. Meng, Tiejun Huang, Yuxin Du

arxiv:2404.00578 v1 · 2024-03-31 · 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{AEHJQOE6AFCRCFR5FRRG4UOPIS}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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

32 papers in Pith

MRI2Rep: Autoregressive Structured Report Generation for 3D Liver MRI

E-MRL: Cross-view Aligned Evidence-driven Multimodal Reinforcement Learning for Reliable 3D Tumor Analysis

CA-GCL: Cross-Anatomy Global-Local Contrastive Learning for Robust 3D Medical Image Understanding

TRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA

Receipt and verification

First computed	2026-07-05T08:02:53.792974Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

010e98389e014511163d2c626e51cf44a7f3b1eb590c6b1c677f6ddf01423963

Aliases

arxiv: 2404.00578 · arxiv_version: 2404.00578v1 · doi: 10.48550/arxiv.2404.00578 · pith_short_12: AEHJQOE6AFCR · pith_short_16: AEHJQOE6AFCRCFR5 · pith_short_8: AEHJQOE6

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/AEHJQOE6AFCRCFR5FRRG4UOPIS \
  | 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: 010e98389e014511163d2c626e51cf44a7f3b1eb590c6b1c677f6ddf01423963

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a2c6ad13c2cbf98aff5701551a2f271c6f7154f68e168cd6dc628b4c304a47fd",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-03-31T06:55:12Z",
    "title_canon_sha256": "9b9d65b487eb6059eedabb861979fe8e2b511f8cba18eec4ab820e1f9ac47c08"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2404.00578",
    "kind": "arxiv",
    "version": 1
  }
}