Pith Number
pith:KSIW3BGV
pith:2021:KSIW3BGVT6DD3KVGOQYYJGJIM4
not attested
not anchored
not stored
refs pending
Generalizability of deep learning based fluence map prediction as an inverse planning approach
arxiv:2104.15032 v1 · 2021-04-30 · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KSIW3BGVT6DD3KVGOQYYJGJIM4}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:36:29.318870Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
54916d84d59f863daaa67431849928673fecdd74daa6f01bc12c2bdf3883706f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KSIW3BGVT6DD3KVGOQYYJGJIM4 \
| 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: 54916d84d59f863daaa67431849928673fecdd74daa6f01bc12c2bdf3883706f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2307a6fa8c3692f9b2608a6d5a9195b6e520b4e462be08709f3f653b835b51f0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.med-ph",
"submitted_at": "2021-04-30T14:39:35Z",
"title_canon_sha256": "6d8567c00ab51d226a588dc037d42a15fa7e8e7430ca0d0f49076cbaf476eb0c"
},
"schema_version": "1.0",
"source": {
"id": "2104.15032",
"kind": "arxiv",
"version": 1
}
}