Pith Number
pith:BK7TWXMM
pith:2017:BK7TWXMMHZ54X3LRWKFQ7BBSFN
not attested
not anchored
not stored
refs pending
Classification of MRI data using Deep Learning and Gaussian Process-based Model Selection
arxiv:1701.04355 v1 · 2017-01-16 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BK7TWXMMHZ54X3LRWKFQ7BBSFN}
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 | 2026-05-18T00:52:46.987805Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0abf3b5d8c3e7bcbed71b28b0f84322b5ad5e94264f4ce46df40a3b3e1076a13
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BK7TWXMMHZ54X3LRWKFQ7BBSFN \
| 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: 0abf3b5d8c3e7bcbed71b28b0f84322b5ad5e94264f4ce46df40a3b3e1076a13
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8987c5dfe55f9ac99792cf40db6fca7ab6d0191b193bc67991f500a0a133721c",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-01-16T17:02:31Z",
"title_canon_sha256": "69bd75b1f9f6a60396fc3b6446ce1ee201b3c578a5f3f0d4c806b698a626f1fb"
},
"schema_version": "1.0",
"source": {
"id": "1701.04355",
"kind": "arxiv",
"version": 1
}
}