Pith Number
pith:RXYXFEVF
pith:2018:RXYXFEVF67A6XAFTAYOTYUH7MT
not attested
not anchored
not stored
refs pending
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression
arxiv:1811.10866 v1 · 2018-11-27 · cs.DS · cs.LG · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RXYXFEVF67A6XAFTAYOTYUH7MT}
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 | 2026-05-17T23:59:47.289794Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8df17292a5f7c1eb80b3061d3c50ff64fa347cb627540b2eca378ce501686723
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RXYXFEVF67A6XAFTAYOTYUH7MT \
| 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: 8df17292a5f7c1eb80b3061d3c50ff64fa347cb627540b2eca378ce501686723
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b7d0784a1827b024f635cb2265a009d8f68042c562632ed7aba2126fc1cfbfa7",
"cross_cats_sorted": [
"cs.LG",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DS",
"submitted_at": "2018-11-27T08:22:54Z",
"title_canon_sha256": "aadddc9c520dafcaff407fe4d8da20c3d03d0263ae6f6f4a7b782aa71bdcca38"
},
"schema_version": "1.0",
"source": {
"id": "1811.10866",
"kind": "arxiv",
"version": 1
}
}