Pith Number
pith:PKDJULGA
pith:2019:PKDJULGAIUJ3BPQ7VGZM7RLPWK
not attested
not anchored
not stored
refs pending
h- and p-refined Multilevel Monte Carlo Methods for Uncertainty Quantification in Structural Engineering
arxiv:1906.11077 v1 · 2019-06-25 · math.NA · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PKDJULGAIUJ3BPQ7VGZM7RLPWK}
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 | 2026-05-17T23:42:09.969805Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7a869a2cc04513b0be1fa9b2cfc56fb284380c3f878000d6143edb730415b5ab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PKDJULGAIUJ3BPQ7VGZM7RLPWK \
| 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: 7a869a2cc04513b0be1fa9b2cfc56fb284380c3f878000d6143edb730415b5ab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "46cc1109bbbf0a9926e055b86c6de86c5a2163282159f64a485ada45c7c678ae",
"cross_cats_sorted": [
"cs.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2019-06-25T08:57:41Z",
"title_canon_sha256": "e1287405833cff27e7afbf381ddb10786c004b7581b842416ee8f4d127b4c9e8"
},
"schema_version": "1.0",
"source": {
"id": "1906.11077",
"kind": "arxiv",
"version": 1
}
}