Pith Number
pith:NLJNJKNN
pith:2021:NLJNJKNNGAX2PLX7QTXGDK5HAE
not attested
not anchored
not stored
refs pending
Regularizing Double Machine Learning in Partially Linear Endogenous Models
arxiv:2101.12525 v2 · 2021-01-29 · stat.ME · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NLJNJKNNGAX2PLX7QTXGDK5HAE}
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 | 2026-07-05T03:44:28.658390Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6ad2d4a9ad302fa7aeff84ee61aba70129750adf71862196185b2abdf4e9a123
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NLJNJKNNGAX2PLX7QTXGDK5HAE \
| 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: 6ad2d4a9ad302fa7aeff84ee61aba70129750adf71862196185b2abdf4e9a123
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3a74708ae47671a1c995649f34127b5a7534be80b7444840ee8927d4d37fa614",
"cross_cats_sorted": [
"math.ST",
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2021-01-29T11:24:18Z",
"title_canon_sha256": "a94a1c3d9e5fbfbc110847b104feb9e200255d9305ba0dd79384a509a301b46c"
},
"schema_version": "1.0",
"source": {
"id": "2101.12525",
"kind": "arxiv",
"version": 2
}
}