Pith Number
pith:VZR2HJXE
pith:2018:VZR2HJXEJSTRPLFI7YDCL7I4EA
not attested
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not stored
refs pending
A partial correlation vine based approach for modeling and forecasting multivariate volatility time-series
arxiv:1802.09585 v2 · 2018-02-26 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VZR2HJXEJSTRPLFI7YDCL7I4EA}
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 | 2026-05-17T23:53:55.837786Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ae63a3a6e44ca717aca8fe0625fd1c203ec3ac98774d0b6cca6726e253c13c48
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VZR2HJXEJSTRPLFI7YDCL7I4EA \
| 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: ae63a3a6e44ca717aca8fe0625fd1c203ec3ac98774d0b6cca6726e253c13c48
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7d09eb16e0bf613adc15cf1611b8a960367c38fbd80b0d9301e0cddb646cfbeb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2018-02-26T20:15:16Z",
"title_canon_sha256": "b3758f191d3c7e0ea34c57fda520ac14165a68b3662872eb360f3aa4c0640210"
},
"schema_version": "1.0",
"source": {
"id": "1802.09585",
"kind": "arxiv",
"version": 2
}
}