Pith Number
pith:7AMWH6UP
pith:2017:7AMWH6UPHT4BV7DUKG3NOAWTFP
not attested
not anchored
not stored
refs pending
A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields
arxiv:1707.00892 v3 · 2017-07-04 · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7AMWH6UPHT4BV7DUKG3NOAWTFP}
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 | 2026-05-18T00:24:10.051335Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f81963fa8f3cf81afc7451b6d702d32bf07fbdd48d707638cafd17564b2ccd41
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7AMWH6UPHT4BV7DUKG3NOAWTFP \
| 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: f81963fa8f3cf81afc7451b6d702d32bf07fbdd48d707638cafd17564b2ccd41
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6902706f3eaccadb25634c5622a3b620d9b0301d46c4d089bddc5d5b95b61806",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2017-07-04T10:15:01Z",
"title_canon_sha256": "958ce6a5aa3613dc92dbd497aad00f3293511e89b4182d2d46a7c4326ca3fa16"
},
"schema_version": "1.0",
"source": {
"id": "1707.00892",
"kind": "arxiv",
"version": 3
}
}