Pith Number
pith:UJQORM4G
pith:2016:UJQORM4GSJHPO2IM62JBCABUNK
not attested
not anchored
not stored
refs pending
Empirical study of PROXTONE and PROXTONE$^+$ for Fast Learning of Large Scale Sparse Models
arxiv:1604.05024 v1 · 2016-04-18 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UJQORM4GSJHPO2IM62JBCABUNK}
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
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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 | 2026-05-18T01:16:56.002800Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a260e8b386924ef7690cf6921100346a964d2abf548f21538c6ba52a8474a17b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UJQORM4GSJHPO2IM62JBCABUNK \
| 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: a260e8b386924ef7690cf6921100346a964d2abf548f21538c6ba52a8474a17b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4e84ba7691a9dc5e87c94c2ddc431c81084a12a06671354e2050af8743da75af",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-04-18T08:01:02Z",
"title_canon_sha256": "94582e8c0f3af79daefc9d04fec337eeea2fb950b714d5e96526952d53ef5330"
},
"schema_version": "1.0",
"source": {
"id": "1604.05024",
"kind": "arxiv",
"version": 1
}
}