Pith Number
pith:QICTWJAI
pith:2018:QICTWJAIL2LOP4HH5FJ3L62UNJ
not attested
not anchored
not stored
refs pending
Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
arxiv:1812.05477 v1 · 2018-12-13 · stat.ML · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QICTWJAIL2LOP4HH5FJ3L62UNJ}
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
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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 | 2026-05-17T23:58:20.135293Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
82053b24085e96e7f0e7e953b5fb546a7cd32d294bbdade21cc6418c2cc3fdaa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QICTWJAIL2LOP4HH5FJ3L62UNJ \
| 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: 82053b24085e96e7f0e7e953b5fb546a7cd32d294bbdade21cc6418c2cc3fdaa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9d5fe3e771599fde8ca523b2ce5da4f4595996131d91d50b90ea25736e9abe0a",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-12-13T15:25:40Z",
"title_canon_sha256": "ef6ab3337ae7bc1eca7ebd3f510757dd0127cc452811ed4ca695fa7dfdad872e"
},
"schema_version": "1.0",
"source": {
"id": "1812.05477",
"kind": "arxiv",
"version": 1
}
}