Pith Number
pith:QGPAYUXF
pith:2022:QGPAYUXF7JDGITOBNYTCQII57K
not attested
not anchored
not stored
refs pending
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?
arxiv:2201.06086 v2 · 2022-01-16 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QGPAYUXF7JDGITOBNYTCQII57K}
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 | 2026-07-05T04:00:21.853640Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
819e0c52e5fa46644dc16e2628211dfa86f6647acd6c3009d869b1c6bb56379a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QGPAYUXF7JDGITOBNYTCQII57K \
| 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: 819e0c52e5fa46644dc16e2628211dfa86f6647acd6c3009d869b1c6bb56379a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "696785ad2b85c4d2fd169c478df7619eec23810c459a40f56753e30b18bf8158",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-01-16T16:44:21Z",
"title_canon_sha256": "74610d12e124c40bdf59bb16ef26fe771d02f4e618327bd585f0220d2825068c"
},
"schema_version": "1.0",
"source": {
"id": "2201.06086",
"kind": "arxiv",
"version": 2
}
}