Pith Number
pith:VJW3PLOI
pith:2025:VJW3PLOIKESX6BSPEJ3ZL2LAA3
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not stored
refs pending
Causal machine learning for high-dimensional mediation analysis using interventional effects mapped to a target trial
arxiv:2504.15834 v1 · 2025-04-22 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VJW3PLOIKESX6BSPEJ3ZL2LAA3}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:52:30.784789Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aa6db7adc851257f064f227795e96006e06c8c0fbdb5918e3bc6b7c3f1af70ab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VJW3PLOIKESX6BSPEJ3ZL2LAA3 \
| 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: aa6db7adc851257f064f227795e96006e06c8c0fbdb5918e3bc6b7c3f1af70ab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "932c006a34854ec9cad9a15cba3372a95c2f88690050ee8086bea25afd507570",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2025-04-22T12:28:27Z",
"title_canon_sha256": "47c06032356138d3a70577e8995cb2e18d0ad933d7b0bde7013c53804a0a39ba"
},
"schema_version": "1.0",
"source": {
"id": "2504.15834",
"kind": "arxiv",
"version": 1
}
}