Pith Number
pith:SKMM2ZWY
pith:2019:SKMM2ZWYPUKZOQ4TL3BPV5ZIMS
not attested
not anchored
not stored
refs pending
Eficient Monte Carlo Simulation of the Left Tail of Positive Gaussian Quadratic Forms
arxiv:1901.09174 v1 · 2019-01-26 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SKMM2ZWYPUKZOQ4TL3BPV5ZIMS}
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 | 2026-05-17T23:55:26.693221Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9298cd66d87d159743935ec2faf7286498927b09d2acb19276ef72e3df042be2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SKMM2ZWYPUKZOQ4TL3BPV5ZIMS \
| 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: 9298cd66d87d159743935ec2faf7286498927b09d2acb19276ef72e3df042be2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "58d9916ccba980ef1f95df0fb4e96ef18bb7641bcb65c07e4bb88db28da3587c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2019-01-26T08:11:34Z",
"title_canon_sha256": "457f6b7e2564f4a93de5bc676f97d7bb1814fd86a9ecd1eb7f4e5e911d9ca16f"
},
"schema_version": "1.0",
"source": {
"id": "1901.09174",
"kind": "arxiv",
"version": 1
}
}