Pith Number
pith:VXP7PRW4
pith:2023:VXP7PRW4MVY3AJGJQFJX3BQQTI
not attested
not anchored
not stored
refs pending
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining
arxiv:2309.17123 v1 · 2023-09-29 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VXP7PRW4MVY3AJGJQFJX3BQQTI}
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
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claim
4
Citations
5
Replications
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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.
Receipt and verification
| First computed | 2026-07-05T06:55:41.832780Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
addff7c6dc6571b024c981537d86109a37dbf40200253fce8215c01de64819d0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VXP7PRW4MVY3AJGJQFJX3BQQTI \
| 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: addff7c6dc6571b024c981537d86109a37dbf40200253fce8215c01de64819d0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6e73c89b8410214cc452742656aeb633ae6bfbf145bbc4f39ccef65f7958354c",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-09-29T10:38:08Z",
"title_canon_sha256": "809286be4522fbf3c2bc16c386cb1675340231cba7852354727215d815b174aa"
},
"schema_version": "1.0",
"source": {
"id": "2309.17123",
"kind": "arxiv",
"version": 1
}
}