Pith Number
pith:6MZMVRW4
pith:2018:6MZMVRW4FVYQRP3OVBRFEEW24N
not attested
not anchored
not stored
refs pending
Covariance-based Dissimilarity Measures Applied to Clustering Wide-sense Stationary Ergodic Processes
arxiv:1801.09049 v4 · 2018-01-27 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6MZMVRW4FVYQRP3OVBRFEEW24N}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-17T23:41:46.870683Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f332cac6dc2d7108bf6ea8625212dae351f921b360dfe790dfbd4800b99328f5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6MZMVRW4FVYQRP3OVBRFEEW24N \
| 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: f332cac6dc2d7108bf6ea8625212dae351f921b360dfe790dfbd4800b99328f5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5c2c41100f76e4d193a1ef48384b66191c6a0ee57f91ad9a1d254fba725df689",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-01-27T07:37:41Z",
"title_canon_sha256": "f20843cb84242c110a719b8e26c1278c967164a535c60445ac9c964c485bd220"
},
"schema_version": "1.0",
"source": {
"id": "1801.09049",
"kind": "arxiv",
"version": 4
}
}