Pith Number
pith:MCTSN7A4
pith:2016:MCTSN7A47KGKDVMYOCVC2TKTOK
not attested
not anchored
not stored
refs pending
Sketching for Large-Scale Learning of Mixture Models
arxiv:1606.02838 v2 · 2016-06-09 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MCTSN7A47KGKDVMYOCVC2TKTOK}
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 | 2026-05-18T00:45:01.627151Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
60a726fc1cfa8ca1d59870aa2d4d5372b747bfba0f1458961b96d1c03c5a8cff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MCTSN7A47KGKDVMYOCVC2TKTOK \
| 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: 60a726fc1cfa8ca1d59870aa2d4d5372b747bfba0f1458961b96d1c03c5a8cff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7efca99b6dad28f2e487e35fea7af1d2aad0fdd793b68a4edaa7dbfa8cf3e607",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-06-09T06:59:19Z",
"title_canon_sha256": "97551906e7750745e571237eee3b67c51ce161165f247c9dd9adddaa36662dc2"
},
"schema_version": "1.0",
"source": {
"id": "1606.02838",
"kind": "arxiv",
"version": 2
}
}