Pith Number
pith:7GNXYX4A
pith:2013:7GNXYX4AN6I4SGHUFBCDCCSWCR
not attested
not anchored
not stored
refs pending
A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow
arxiv:1303.7343 v2 · 2013-03-29 · math.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7GNXYX4AN6I4SGHUFBCDCCSWCR}
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 | 2026-05-18T01:35:37.222910Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f99b7c5f806f91c918f42844310a56147410690c77191ed9c14eea1ad8115c0f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7GNXYX4AN6I4SGHUFBCDCCSWCR \
| 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: f99b7c5f806f91c918f42844310a56147410690c77191ed9c14eea1ad8115c0f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "744eadd347f17276b782ef3a0c481ed57d856dd3fe7e1ffe66af7eed6542f7b1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2013-03-29T09:59:55Z",
"title_canon_sha256": "53af7ea7198fe6f08ded36f44b24372091abae6492bdf6a7583477291506334e"
},
"schema_version": "1.0",
"source": {
"id": "1303.7343",
"kind": "arxiv",
"version": 2
}
}