Pith Number
pith:EHUPATW5
pith:2024:EHUPATW5KGRLI6WXBNHE44J5IJ
not attested
not anchored
not stored
refs pending
Estimating Causal Effects with Double Machine Learning -- A Method Evaluation
arxiv:2403.14385 v2 · 2024-03-21 · stat.ML · cs.LG · econ.EM · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EHUPATW5KGRLI6WXBNHE44J5IJ}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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.
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Receipt and verification
| First computed | 2026-07-05T08:13:31.227402Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
21e8f04edd51a2b47ad70b4e4e713d4249233827af4df2601c5af22527f6605c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EHUPATW5KGRLI6WXBNHE44J5IJ \
| 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: 21e8f04edd51a2b47ad70b4e4e713d4249233827af4df2601c5af22527f6605c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1fffe1bf461339e6bc1d76154ddc0869601ffc01851dd881bdc5acde77c84c1a",
"cross_cats_sorted": [
"cs.LG",
"econ.EM",
"stat.ME"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-03-21T13:21:33Z",
"title_canon_sha256": "3fd59ab5dc3527d7d812a74153b1579b231d29b6ce207f1970a1b3986f83ba43"
},
"schema_version": "1.0",
"source": {
"id": "2403.14385",
"kind": "arxiv",
"version": 2
}
}