Pith Number
pith:KMGB3CW2
pith:2021:KMGB3CW2LXFJHRNMR3UFLEO2CI
not attested
not anchored
not stored
refs pending
Prediction of mandibular ORN incidence from 3D radiation dose distribution maps using deep learning
arxiv:2112.11503 v2 · 2021-12-21 · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KMGB3CW2LXFJHRNMR3UFLEO2CI}
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 | 2026-07-05T04:34:14.552787Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
530c1d8ada5dca93c5ac8ee85591da1216019e704989d2659e600fa7f60c84f9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KMGB3CW2LXFJHRNMR3UFLEO2CI \
| 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: 530c1d8ada5dca93c5ac8ee85591da1216019e704989d2659e600fa7f60c84f9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "53ce17738fb21e96e30c1d8884f0313baae2d9a4c5ef8e2b3a41608fae74f49d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.med-ph",
"submitted_at": "2021-12-21T20:08:21Z",
"title_canon_sha256": "d6ce06e97dcce9457964c42a9288771253b1d277b8393d4ce4d4f168da213c83"
},
"schema_version": "1.0",
"source": {
"id": "2112.11503",
"kind": "arxiv",
"version": 2
}
}