Pith Number
pith:ZOS5XKPS
pith:2026:ZOS5XKPSPJQX6RMIJRY2ZHGRXX
not attested
not anchored
not stored
refs pending
Causal Inference with Multiple Misclassified Exposures: A Control Variate-Adjusted Calibration Weighting Approach
arxiv:2606.23656 v1 · 2026-06-22 · stat.ME · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZOS5XKPSPJQX6RMIJRY2ZHGRXX}
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 | 2026-06-23T03:14:33.881490Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cba5dba9f27a617f45884c71ac9cd1bde444b1f7ae356a0e3af56ed6c832444e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZOS5XKPSPJQX6RMIJRY2ZHGRXX \
| 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: cba5dba9f27a617f45884c71ac9cd1bde444b1f7ae356a0e3af56ed6c832444e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d85d48c840bd1e186c5787cfe1879ab9d3a3d0b102f67543b7f0f1f174aff69e",
"cross_cats_sorted": [
"stat.AP"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2026-06-22T17:41:52Z",
"title_canon_sha256": "9f9256d30664681de5d9b00282103fe4bd5028ac80081800df05d599adafb0a7"
},
"schema_version": "1.0",
"source": {
"id": "2606.23656",
"kind": "arxiv",
"version": 1
}
}