Pith Number
pith:YYOMJNN7
pith:2022:YYOMJNN7JL2P3G57SQMPT7D6JC
not attested
not anchored
not stored
refs pending
Robust Causal Learning for the Estimation of Average Treatment Effects
arxiv:2209.01805 v1 · 2022-09-05 · econ.EM · q-fin.RM · stat.ME · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YYOMJNN7JL2P3G57SQMPT7D6JC}
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 | 2026-07-05T05:22:10.381221Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c61cc4b5bf4af4fd9bbf9418f9fc7e48a1e44fcd1edffa2a80642071a545e703
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YYOMJNN7JL2P3G57SQMPT7D6JC \
| 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: c61cc4b5bf4af4fd9bbf9418f9fc7e48a1e44fcd1edffa2a80642071a545e703
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "84bb2cadac1e6472276cb349ec3610462be8a77b1b917ac23030deab453f5a30",
"cross_cats_sorted": [
"q-fin.RM",
"stat.ME",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "econ.EM",
"submitted_at": "2022-09-05T07:35:58Z",
"title_canon_sha256": "0a582b63a5328742c4f13dc3ba9ff2b52d4a3dbd044f008f237dca5ef8530cf8"
},
"schema_version": "1.0",
"source": {
"id": "2209.01805",
"kind": "arxiv",
"version": 1
}
}