Pith Number
pith:CXJIWFON
pith:2016:CXJIWFONFMHQ7D7RL2BRKTQG42
not attested
not anchored
not stored
refs pending
On the Calibration of Multilevel Monte Carlo Ensemble Forecasts
arxiv:1605.08701 v3 · 2016-05-27 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CXJIWFONFMHQ7D7RL2BRKTQG42}
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 | 2026-05-18T00:39:02.802421Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
15d28b15cd2b0f0f8ff15e83154e06e6bd1e01d86f8d3f11eb3b515d8e7699d7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CXJIWFONFMHQ7D7RL2BRKTQG42 \
| 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: 15d28b15cd2b0f0f8ff15e83154e06e6bd1e01d86f8d3f11eb3b515d8e7699d7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f43a90d60a9ea7f3d46fbe34692837216e95919ea3159f26a52f0db71b6196cd",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2016-05-27T16:03:18Z",
"title_canon_sha256": "727034c93e2a9fb060b11c40cbfb60e590f18f97ea387631188f9f1e1bfa9f37"
},
"schema_version": "1.0",
"source": {
"id": "1605.08701",
"kind": "arxiv",
"version": 3
}
}