Pith Number
pith:DMEYUW4D
pith:2019:DMEYUW4DLYBQGVHI45EU7ZROFZ
not attested
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not stored
refs pending
DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy
arxiv:1908.04437 v1 · 2019-08-12 · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DMEYUW4DLYBQGVHI45EU7ZROFZ}
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 | 2026-07-04T23:55:13.769792Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b098a5b835e030354e8e7494fe62e2e474b5a730349b397f587f4b712cb5031
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DMEYUW4DLYBQGVHI45EU7ZROFZ \
| 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: 1b098a5b835e030354e8e7494fe62e2e474b5a730349b397f587f4b712cb5031
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e3ccf49b7076135666924a48fe91901ccd82debd048256b8857ea68528b7d2ba",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.med-ph",
"submitted_at": "2019-08-12T23:28:25Z",
"title_canon_sha256": "d5a32121710cc90b949221c820fd395f29e63ad1d5ab77b0b888acd33d6d7bf9"
},
"schema_version": "1.0",
"source": {
"id": "1908.04437",
"kind": "arxiv",
"version": 1
}
}