Pith Number
pith:GNOAYPEA
pith:2018:GNOAYPEAMAMEBZCJFUTC6ZE5BH
not attested
not anchored
not stored
refs pending
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator
arxiv:1805.07194 v1 · 2018-05-18 · math.OC · q-fin.PM · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GNOAYPEAMAMEBZCJFUTC6ZE5BH}
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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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 | 2026-05-18T00:15:38.979272Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
335c0c3c80601840e4492d262f649d09d0bfbcd6872616d9e25aa9df9fa97abc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GNOAYPEAMAMEBZCJFUTC6ZE5BH \
| 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: 335c0c3c80601840e4492d262f649d09d0bfbcd6872616d9e25aa9df9fa97abc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "78c99010bf7692983819dafd2c8cad22a6f17f801b6c1103d6bd63206bca8e00",
"cross_cats_sorted": [
"q-fin.PM",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2018-05-18T13:24:53Z",
"title_canon_sha256": "f78619911e4cce64acc194dfa4000c1fb077cedafd25ba18222f49b32fedaaeb"
},
"schema_version": "1.0",
"source": {
"id": "1805.07194",
"kind": "arxiv",
"version": 1
}
}