Pith Number
pith:B6M6JMTF
pith:2018:B6M6JMTFBNMMOEIIJS5W65DNFY
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not stored
refs pending
An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models
arxiv:1810.11893 v1 · 2018-10-28 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B6M6JMTFBNMMOEIIJS5W65DNFY}
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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 | 2026-05-18T00:02:07.124994Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f99e4b2650b58c711084cbb6f746d2e0768f7c05eea605932818e4e4949cf4e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B6M6JMTFBNMMOEIIJS5W65DNFY \
| 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: 0f99e4b2650b58c711084cbb6f746d2e0768f7c05eea605932818e4e4949cf4e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a2367922a50cbdae6d6d554cd3fffa2a366bff1671fc92aaaab86ac167006c42",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-10-28T22:10:26Z",
"title_canon_sha256": "b72336f302bfa9050779c63687cd272059e558acc43e97ee7eda88ee3140db5f"
},
"schema_version": "1.0",
"source": {
"id": "1810.11893",
"kind": "arxiv",
"version": 1
}
}