Pith Number
pith:3ROGC73F
pith:2017:3ROGC73FIYB55WAWQDWVHMH72S
not attested
not anchored
not stored
refs pending
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data
arxiv:1706.03161 v2 · 2017-06-10 · cs.LG · cs.SI · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3ROGC73FIYB55WAWQDWVHMH72S}
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 | 2026-05-18T00:16:03.170744Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dc5c617f654603ded81680ed53b0ffd4ae4d6e805d034bdcd9a983acfefe53c7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3ROGC73FIYB55WAWQDWVHMH72S \
| 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: dc5c617f654603ded81680ed53b0ffd4ae4d6e805d034bdcd9a983acfefe53c7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "495c92405dcaee00336f1126d74d41fe41dff6395ee4445b9e4c841ce6580f92",
"cross_cats_sorted": [
"cs.SI",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-06-10T00:52:05Z",
"title_canon_sha256": "8e8e6fc1e7c96a0c80fe4ca5d425ab27486849708c04b2cbaf8a577e38e93a5f"
},
"schema_version": "1.0",
"source": {
"id": "1706.03161",
"kind": "arxiv",
"version": 2
}
}