Pith Number
pith:4BCXGGDK
pith:2014:4BCXGGDKXS73P5HOJ6PZL3YJOC
not attested
not anchored
not stored
refs pending
A Bayesian partial identification approach to inferring the prevalence of accounting misconduct
arxiv:1407.8430 v3 · 2014-07-31 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4BCXGGDKXS73P5HOJ6PZL3YJOC}
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 | 2026-05-18T02:25:26.392862Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e04573186abcbfb7f4ee4f9f95ef0970b99b252d0056bc9b50e2411864867ccf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4BCXGGDKXS73P5HOJ6PZL3YJOC \
| 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: e04573186abcbfb7f4ee4f9f95ef0970b99b252d0056bc9b50e2411864867ccf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7143e3cba44fc2df0ac59aa2878e95f207576d3ff65dc2e5ff15b96fccf7c922",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2014-07-31T14:24:11Z",
"title_canon_sha256": "9708f4a5b60a8e7f9f76819599adc2b7e9991a3f967c0bacd299653dd367556d"
},
"schema_version": "1.0",
"source": {
"id": "1407.8430",
"kind": "arxiv",
"version": 3
}
}