Pith Number
pith:5Y5VTYXG
pith:2016:5Y5VTYXGZNXVFY2XYMUQHUELLN
not attested
not anchored
not stored
refs pending
Covariate adjustment in randomization-based causal inference for 2K factorial designs
arxiv:1606.05418 v2 · 2016-06-17 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5Y5VTYXGZNXVFY2XYMUQHUELLN}
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 | 2026-05-18T01:11:09.906231Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ee3b59e2e6cb6f52e357c32903d08b5b50fd8d60e5ae4cc8f32099b334c31dcb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5Y5VTYXGZNXVFY2XYMUQHUELLN \
| 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: ee3b59e2e6cb6f52e357c32903d08b5b50fd8d60e5ae4cc8f32099b334c31dcb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2fd21d36f31e2b3d7b549c38fcaee23b1c83977ce216a85ef09f54b48d177942",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2016-06-17T05:00:11Z",
"title_canon_sha256": "12c59a6633ff05a66a007d39a7da5a42e3e007a7a36f660b770d8924c7024862"
},
"schema_version": "1.0",
"source": {
"id": "1606.05418",
"kind": "arxiv",
"version": 2
}
}