Pith Number
pith:IPDMYQLX
pith:2014:IPDMYQLXIRNWCN42SUDCBVQ53N
not attested
not anchored
not stored
refs pending
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation
arxiv:1411.4510 v1 · 2014-11-17 · stat.ML · cs.DC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IPDMYQLXIRNWCN42SUDCBVQ53N}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-05-18T02:35:45.609469Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
43c6cc4177445b61379a950620d61ddb4868c1222cfd095b5c435d1b46b5faac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IPDMYQLXIRNWCN42SUDCBVQ53N \
| 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: 43c6cc4177445b61379a950620d61ddb4868c1222cfd095b5c435d1b46b5faac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b9d6942b5d833e764f311d04374c49a4d48edd36ac6ce7423a1c6f10495540d9",
"cross_cats_sorted": [
"cs.DC",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2014-11-17T15:31:04Z",
"title_canon_sha256": "13e0b0b8edea78f47e5284a371d8006bc8433471d343d3b118a7487bfe9ca7e4"
},
"schema_version": "1.0",
"source": {
"id": "1411.4510",
"kind": "arxiv",
"version": 1
}
}