Pith Number
pith:MLIFDBD5
pith:2025:MLIFDBD5GSQWNAK7GKD3X3KCCN
not attested
not anchored
not stored
refs pending
Efficient Semiparametric Inference for Distributed Data with Blockwise Missingness
arxiv:2508.16902 v1 · 2025-08-23 · stat.ME · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MLIFDBD5GSQWNAK7GKD3X3KCCN}
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 | 2026-07-05T11:58:06.021410Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62d051847d34a166815f3287bbed4213444c7c8513af46830f58a59c7ad1bbc5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MLIFDBD5GSQWNAK7GKD3X3KCCN \
| 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: 62d051847d34a166815f3287bbed4213444c7c8513af46830f58a59c7ad1bbc5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "19f9f45ab6b45d34bee90f16ea7ef7a1a478dd1f8a4410ee973650b7f955571c",
"cross_cats_sorted": [
"math.ST",
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2025-08-23T05:27:24Z",
"title_canon_sha256": "34ad4bdf420e7d2ddb22de7154c97e202b93b82801466ab615509ae8f367c2ea"
},
"schema_version": "1.0",
"source": {
"id": "2508.16902",
"kind": "arxiv",
"version": 1
}
}