Pith Number
pith:3VNQSI6Z
pith:2026:3VNQSI6ZYCDYT7FDEEJWDICOM7
not attested
not anchored
not stored
refs pending
Design-based edge-level causal inference with machine learning assisted covariate adjustment
arxiv:2606.00965 v1 · 2026-05-31 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3VNQSI6ZYCDYT7FDEEJWDICOM7}
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 | 2026-06-02T01:04:10.611706Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dd5b0923d9c08789fca3211361a04e67cc2771f1f3de93a4ca4a6cb16734e1d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3VNQSI6ZYCDYT7FDEEJWDICOM7 \
| 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: dd5b0923d9c08789fca3211361a04e67cc2771f1f3de93a4ca4a6cb16734e1d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "07e3c6ae5d4b33ef35ad2907885838031ffa3594e28bc156add9ac2a3f448aad",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2026-05-31T02:47:56Z",
"title_canon_sha256": "ce72d19e128aea99e36183b098cd4490dba264ae2f36bd86156df439132b5c82"
},
"schema_version": "1.0",
"source": {
"id": "2606.00965",
"kind": "arxiv",
"version": 1
}
}