Pith Number
pith:4Z7YCLNG
pith:2015:4Z7YCLNGWQI3MSVEGX23AQZZEM
not attested
not anchored
not stored
refs pending
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process
arxiv:1506.03768 v1 · 2015-06-11 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4Z7YCLNGWQI3MSVEGX23AQZZEM}
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 | 2026-05-18T01:53:03.345912Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e67f812da6b411b64aa435f5b043392329b851887fe304f25aa0641568ae39ae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4Z7YCLNGWQI3MSVEGX23AQZZEM \
| 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: e67f812da6b411b64aa435f5b043392329b851887fe304f25aa0641568ae39ae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f27e396e48a69674537cd7dfefedb20155e5c7619fd2b5de5d8aa289b768e3ce",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2015-06-11T18:27:19Z",
"title_canon_sha256": "e9d8cd483bd1e4f27c31930493dc1817dc405300b9028d6f7b205dfccedef187"
},
"schema_version": "1.0",
"source": {
"id": "1506.03768",
"kind": "arxiv",
"version": 1
}
}