Pith Number
pith:7DVCVZWC
pith:2017:7DVCVZWCJQQ35PIQ4G6JWOJUKP
not attested
not anchored
not stored
refs pending
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution
arxiv:1712.08048 v3 · 2017-12-21 · stat.ME · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7DVCVZWCJQQ35PIQ4G6JWOJUKP}
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 | 2026-05-17T23:48:02.171214Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f8ea2ae6c24c21bebd10e1bc9b393453f95daf8944addf25e1f0e0115e0f8c43
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7DVCVZWCJQQ35PIQ4G6JWOJUKP \
| 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: f8ea2ae6c24c21bebd10e1bc9b393453f95daf8944addf25e1f0e0115e0f8c43
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d63b9d0b6e8079d0145326a02dfebf8fffffce1815ed3b303f2fdb071dbe54e7",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2017-12-21T16:15:34Z",
"title_canon_sha256": "29d94af471ca0856fcc561a5ab43cf5b6c8ade0ac6b253e6deb64c80ba02a3ad"
},
"schema_version": "1.0",
"source": {
"id": "1712.08048",
"kind": "arxiv",
"version": 3
}
}