Pith Number
pith:4YE7VOIW
pith:2012:4YE7VOIWDT5ZQSD6A7CZAUZNDX
not attested
not anchored
not stored
refs pending
A sequential Monte Carlo approach to computing tail probabilities in stochastic models
arxiv:1202.4582 v1 · 2012-02-21 · math.PR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4YE7VOIWDT5ZQSD6A7CZAUZNDX}
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 | 2026-05-18T04:01:50.357989Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e609fab9161cfb98487e07c590532d1deaa5489aa18ab755307ada11a0514177
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4YE7VOIWDT5ZQSD6A7CZAUZNDX \
| 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: e609fab9161cfb98487e07c590532d1deaa5489aa18ab755307ada11a0514177
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "07f37f75fec7d9e7896c1a850d0e93e0b5a42c2da33a89520659d20014256fe7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.PR",
"submitted_at": "2012-02-21T10:09:38Z",
"title_canon_sha256": "5f444f8c9238f8431d99fc69375c1cb879625c2fa8de8b88d6287d4c83a784ce"
},
"schema_version": "1.0",
"source": {
"id": "1202.4582",
"kind": "arxiv",
"version": 1
}
}