Pith Number
pith:BPV3SYFP
pith:2018:BPV3SYFPASUPK27WP27CV7GCY4
not attested
not anchored
not stored
refs pending
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
arxiv:1809.11165 v6 · 2018-09-28 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BPV3SYFPASUPK27WP27CV7GCY4}
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 | 2026-07-05T02:53:49.163686Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0bebb960af04a8f56bf67ebe2afcc2c7345aca9be49c1041c3fc463eddc084ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BPV3SYFPASUPK27WP27CV7GCY4 \
| 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: 0bebb960af04a8f56bf67ebe2afcc2c7345aca9be49c1041c3fc463eddc084ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9e8ab86a418883e8f94cb3a66d7f0f0e1bad105c53cb819ea29f91c445c9ad72",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-09-28T17:55:16Z",
"title_canon_sha256": "9300474b157ac0c56449f7ca1dc19c7ee51c0e91199ff96eef94e0f5e17700be"
},
"schema_version": "1.0",
"source": {
"id": "1809.11165",
"kind": "arxiv",
"version": 6
}
}