Pith Number
pith:KGT3YGQH
pith:2018:KGT3YGQHZ3COPBY54AMO2USH62
not attested
not anchored
not stored
refs pending
Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations
arxiv:1804.09137 v2 · 2018-04-24 · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KGT3YGQHZ3COPBY54AMO2USH62}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-17T23:39:41.843817Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
51a7bc1a07cec4e7871de018ed5247f695766d8423d2b59c8dba548dbd637ef4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KGT3YGQHZ3COPBY54AMO2USH62 \
| 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: 51a7bc1a07cec4e7871de018ed5247f695766d8423d2b59c8dba548dbd637ef4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1c03a5b32f68e43413f30ec75b20690723bc7c43fcf848f1c18e819bb641ead7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NA",
"submitted_at": "2018-04-24T17:02:25Z",
"title_canon_sha256": "e60404941a58d42a21308da2950d18307c093771f02656f551e07d05a246a63c"
},
"schema_version": "1.0",
"source": {
"id": "1804.09137",
"kind": "arxiv",
"version": 2
}
}