Pith Number
pith:AI3LFHYU
pith:2026:AI3LFHYUXHGWBAROSABYTBP6KO
not attested
not anchored
not stored
refs pending
Doubly Robust Quadratic Inference Functions for Causal Inference in Cluster Randomized Trials
arxiv:2606.26630 v1 · 2026-06-25 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AI3LFHYUXHGWBAROSABYTBP6KO}
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 | 2026-06-26T01:15:36.630996Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0236b29f14b9cd60822e90038985fe539771d7cb6f6d04b07f401cf7bd660a38
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AI3LFHYUXHGWBAROSABYTBP6KO \
| 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: 0236b29f14b9cd60822e90038985fe539771d7cb6f6d04b07f401cf7bd660a38
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0b0f4af1dda9c8bd3f6beda254e743c4e1853b4c4127b682b5fbf729dbc8da21",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2026-06-25T05:47:33Z",
"title_canon_sha256": "a91e57287612ac0bba6f1d70a5fa279b287ab8420628586b233d48792a85c73c"
},
"schema_version": "1.0",
"source": {
"id": "2606.26630",
"kind": "arxiv",
"version": 1
}
}