Pith Number
pith:QAP4KQN3
pith:2017:QAP4KQN3LUYZOXJF7C2XL3Z6ZA
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Honest data-adaptive inference for the average treatment effect under model misspecification using penalised bias-reduced double-robust estimation
arxiv:1708.03787 v1 · 2017-08-12 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QAP4KQN3LUYZOXJF7C2XL3Z6ZA}
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
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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 | 2026-05-18T00:38:07.906748Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
801fc541bb5d31975d25f8b575ef3ec83ae35a809178c96f223af113a74a90a8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QAP4KQN3LUYZOXJF7C2XL3Z6ZA \
| 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: 801fc541bb5d31975d25f8b575ef3ec83ae35a809178c96f223af113a74a90a8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a4b40fb1e5a834392ec36fc5250441cb47143e29d394cc2a03b2d76d6a847d7a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2017-08-12T15:07:37Z",
"title_canon_sha256": "f8375243406ed9e70e0645501801576d23aba171f1469c8da21c6934e7b93b24"
},
"schema_version": "1.0",
"source": {
"id": "1708.03787",
"kind": "arxiv",
"version": 1
}
}