Pith Number
pith:CAQ5CUXZ
pith:2024:CAQ5CUXZ275GFEB6C7PUUKN3TY
not attested
not anchored
not stored
refs pending
Patient-Specific CT Doses Using DL-based Image Segmentation and GPU-based Monte Carlo Calculations for 10,281 Subjects
arxiv:2401.11480 v2 · 2024-01-21 · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CAQ5CUXZ275GFEB6C7PUUKN3TY}
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 | 2026-07-05T10:46:36.096032Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1021d152f9d7fa62903e17df4a29bb9e3bbe3b81dbd752e1d3124a050977a12e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CAQ5CUXZ275GFEB6C7PUUKN3TY \
| 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: 1021d152f9d7fa62903e17df4a29bb9e3bbe3b81dbd752e1d3124a050977a12e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a10a2b6ed2cf5bc4689d0f2ddb2041eb83885621842567a03efc8c49bf9ef0ff",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.med-ph",
"submitted_at": "2024-01-21T12:54:54Z",
"title_canon_sha256": "4f0aa45b49c871d9bfa409a478fb4a3eced61f9cffbb8c2702a240348417fdf8"
},
"schema_version": "1.0",
"source": {
"id": "2401.11480",
"kind": "arxiv",
"version": 2
}
}