Pith Number
pith:TIIZFLPT
pith:2014:TIIZFLPTBBAUQNVYC723W6AEV3
not attested
not anchored
not stored
refs pending
Estimating the average treatment effects of nutritional label use using subclassification with regression adjustment
arxiv:1412.0242 v1 · 2014-11-30 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TIIZFLPTBBAUQNVYC723W6AEV3}
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 | 2026-05-18T02:32:28.195558Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9a1192adf308414836b817f5bb7804aecbab15f4b5573643c428640f0d5269aa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TIIZFLPTBBAUQNVYC723W6AEV3 \
| 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: 9a1192adf308414836b817f5bb7804aecbab15f4b5573643c428640f0d5269aa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "505ca932556b3b82c49fc7bf1afca936f57e186e85b07e4c547aaa5144ab2d5f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2014-11-30T16:48:08Z",
"title_canon_sha256": "1b03d0dcbac81b15dabfbdeecb1b6ee513c66a0c698a253f51eb25197d1c0f5b"
},
"schema_version": "1.0",
"source": {
"id": "1412.0242",
"kind": "arxiv",
"version": 1
}
}