Pith Number
pith:J5CX4YTI
pith:2020:J5CX4YTI3XLFLPILTMSGZW4DUT
not attested
not anchored
not stored
refs pending
Robustly Learning Mixtures of $k$ Arbitrary Gaussians
arxiv:2012.02119 v3 · 2020-12-03 · cs.DS · cs.LG · math.ST · stat.ML · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J5CX4YTI3XLFLPILTMSGZW4DUT}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:46:43.283034Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4f457e6268ddd655bd0b9b246cdb83a4d859e0fa1d3fbebabdbb2a0ff1f8d145
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J5CX4YTI3XLFLPILTMSGZW4DUT \
| 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: 4f457e6268ddd655bd0b9b246cdb83a4d859e0fa1d3fbebabdbb2a0ff1f8d145
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2c2e131adbeb99ff39a06d7ad3683d8e437b0bf94eaca3d80d14cae0b8cd701d",
"cross_cats_sorted": [
"cs.LG",
"math.ST",
"stat.ML",
"stat.TH"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.DS",
"submitted_at": "2020-12-03T17:54:03Z",
"title_canon_sha256": "c6ba7647b1f80aabd7665d12390a2989f02ac472cf19d9bda7fc0e71e33afb6e"
},
"schema_version": "1.0",
"source": {
"id": "2012.02119",
"kind": "arxiv",
"version": 3
}
}