Pith Number
pith:3ENXUT7Q
pith:2014:3ENXUT7QQT5RNHQZBYYXMRM7DW
not attested
not anchored
not stored
refs pending
Optimality of Poisson processes intensity learning with Gaussian processes
arxiv:1409.5103 v2 · 2014-09-17 · math.ST · stat.ML · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3ENXUT7QQT5RNHQZBYYXMRM7DW}
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 | 2026-05-18T02:25:55.912393Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d91b7a4ff084fb169e190e3176459f1d9f3689bbf7fdc5d204be1d218bed2bea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3ENXUT7QQT5RNHQZBYYXMRM7DW \
| 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: d91b7a4ff084fb169e190e3176459f1d9f3689bbf7fdc5d204be1d218bed2bea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b5a47b2ad0de5070d7c546a82e73f221c5823fe858fdef8c6f835ed845faca05",
"cross_cats_sorted": [
"stat.ML",
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.ST",
"submitted_at": "2014-09-17T19:06:50Z",
"title_canon_sha256": "bd1dfc2f993ef7ae956f83e3f8dfa8db7fd4722e1204daf922ddd7155ba1d209"
},
"schema_version": "1.0",
"source": {
"id": "1409.5103",
"kind": "arxiv",
"version": 2
}
}