Pith Number
pith:XVMRQJF2
pith:2018:XVMRQJF2UQQG2APUYKAV4SPT6I
not attested
not anchored
not stored
refs pending
Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection
arxiv:1809.09527 v2 · 2018-09-25 · econ.EM · stat.ME · stat.OT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XVMRQJF2UQQG2APUYKAV4SPT6I}
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 | 2026-05-17T23:48:22.442899Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd591824baa4206d01f4c2815e49f3f22e39db01bbe0d6553f7c3a931bc1043d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XVMRQJF2UQQG2APUYKAV4SPT6I \
| 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: bd591824baa4206d01f4c2815e49f3f22e39db01bbe0d6553f7c3a931bc1043d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "36b99b1e0a583cedac6a19ffab17205b6bc51762c253866c1cf5c1c4def85be6",
"cross_cats_sorted": [
"stat.ME",
"stat.OT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "econ.EM",
"submitted_at": "2018-09-25T14:54:11Z",
"title_canon_sha256": "3eade85383e96643bfa03da4e7c5b188837be0987a60d5a182b7db1a06caa85a"
},
"schema_version": "1.0",
"source": {
"id": "1809.09527",
"kind": "arxiv",
"version": 2
}
}