Pith Number
pith:OXU4IBDX
pith:2021:OXU4IBDXFXTTWS7MIUIPB5BZNU
not attested
not anchored
not stored
refs pending
A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data
arxiv:2107.00856 v3 · 2021-07-02 · stat.ME · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OXU4IBDXFXTTWS7MIUIPB5BZNU}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:48:07.476267Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
75e9c404772de73b4bec4510f0f4396d0a6a098084d1418cdb5eed8b8dc79da4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OXU4IBDXFXTTWS7MIUIPB5BZNU \
| 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: 75e9c404772de73b4bec4510f0f4396d0a6a098084d1418cdb5eed8b8dc79da4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e26686a5209a7a3260a2223e63c2df960e23f09942b170334ddd3e584be8eae2",
"cross_cats_sorted": [
"stat.AP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2021-07-02T06:08:42Z",
"title_canon_sha256": "be3fdd9018b365adc5efa4ec9a3e5a8e7fc3b9433924e9eefa3a6953cdf31e86"
},
"schema_version": "1.0",
"source": {
"id": "2107.00856",
"kind": "arxiv",
"version": 3
}
}