Pith Number
pith:BMWBF7M5
pith:2025:BMWBF7M5VH4OTVTF7HI37AUAFB
not attested
not anchored
not stored
refs pending
High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference
arxiv:2508.05212 v2 · 2025-08-07 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BMWBF7M5VH4OTVTF7HI37AUAFB}
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 | 2026-06-23T03:13:46.580853Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b2c12fd9da9f8e9d665f9d1bf8280284a7a36ef744161a0534ce1327ac31cd1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BMWBF7M5VH4OTVTF7HI37AUAFB \
| 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: 0b2c12fd9da9f8e9d665f9d1bf8280284a7a36ef744161a0534ce1327ac31cd1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b451eb5d1c25c560c276af5cba465e1bab32d1ae680113f6bdc2de446d20e5b8",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2025-08-07T09:47:44Z",
"title_canon_sha256": "51ddf300114116cc4b82d537f1fa07f29ea811923e3d2c10e760630e078c9d64"
},
"schema_version": "1.0",
"source": {
"id": "2508.05212",
"kind": "arxiv",
"version": 2
}
}