Pith Number
pith:AV3HWIGG
pith:2015:AV3HWIGGBZOFVXZL5EX6LJI6N3
not attested
not anchored
not stored
refs pending
Longitudinal high-dimensional principal components analysis with application to diffusion tensor imaging of multiple sclerosis
arxiv:1501.04420 v1 · 2015-01-19 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AV3HWIGGBZOFVXZL5EX6LJI6N3}
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 | 2026-05-18T02:29:09.044813Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
05767b20c60e5c5adf2be92fe5a51e6eecd0eea8e2b25009cfa8ee206360833f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AV3HWIGGBZOFVXZL5EX6LJI6N3 \
| 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: 05767b20c60e5c5adf2be92fe5a51e6eecd0eea8e2b25009cfa8ee206360833f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ce09328affe7bda4935d5d4e8e1009db891629194053c4b9a65507990e07cecc",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2015-01-19T08:48:45Z",
"title_canon_sha256": "5b52213fe9d5bb61a8efc1d7e1d38e48cb32cf6adc57d3752c8eb3e1a55674a1"
},
"schema_version": "1.0",
"source": {
"id": "1501.04420",
"kind": "arxiv",
"version": 1
}
}