Pith Number

pith:SH5XTWW2

pith:2023:SH5XTWW2WXFHXQ25ABNOSDYYF5

not attested not anchored not stored refs pending

Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling

Alexander Jaus, Constantin Seibold, Jens Kleesiek, Ken Herrmann, Matthias A. Fink, Moon Kim, Rainer Stiefelhagen, Simon Rei{\ss}

arxiv:2306.03934 v1 · 2023-06-06 · eess.IV · cs.CV · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{SH5XTWW2WXFHXQ25ABNOSDYYF5}

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

3 papers in Pith

CheXpercept: A Benchmark for Evaluating Expert-Level Lesion Perception in Chest X-rays

CheXanatomy: Anatomy-Aware Vision-Language Modeling for Chest Radiographs

RadGenome-Anatomy: A Large-Scale Anatomy-Labeled Chest Radiograph Dataset via Physically Grounded Volumetric Projection

Receipt and verification

First computed	2026-07-05T06:18:24.088701Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

91fb79dadab5ca7bc35d005ae90f182f541ec816e54dca4a96fa7817a1c70d8b

Aliases

arxiv: 2306.03934 · arxiv_version: 2306.03934v1 · doi: 10.48550/arxiv.2306.03934 · pith_short_12: SH5XTWW2WXFH · pith_short_16: SH5XTWW2WXFHXQ25 · pith_short_8: SH5XTWW2

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/SH5XTWW2WXFHXQ25ABNOSDYYF5 \
  | 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: 91fb79dadab5ca7bc35d005ae90f182f541ec816e54dca4a96fa7817a1c70d8b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "94643f7f7d058b7f1c148e5b420ae68d863f96202cf743ec7ffe027bc372854a",
    "cross_cats_sorted": [
      "cs.CV",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "eess.IV",
    "submitted_at": "2023-06-06T18:01:08Z",
    "title_canon_sha256": "80ccda618ef413cc82fa41c86ecff0c0ea37950d48b8262e184fbc5f939c11ab"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2306.03934",
    "kind": "arxiv",
    "version": 1
  }
}