Pith Number
pith:YSUZEFJW
pith:2023:YSUZEFJWRDIO4LCL4PKGPXUPCQ
not attested
not anchored
not stored
refs pending
Provable Data Subset Selection For Efficient Neural Network Training
arxiv:2303.05151 v1 · 2023-03-09 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YSUZEFJWRDIO4LCL4PKGPXUPCQ}
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 | 2026-07-05T05:49:37.860095Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c4a992153688d0ee2c4be3d467de8f142beb1907c40d22a68c02c3f113f50c64
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YSUZEFJWRDIO4LCL4PKGPXUPCQ \
| 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: c4a992153688d0ee2c4be3d467de8f142beb1907c40d22a68c02c3f113f50c64
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "164d47e604d0262cfae5df60141fd8c55e0115b77223e995e9c0a038e370aaa5",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-03-09T10:08:34Z",
"title_canon_sha256": "56ee49743eff890a9dafe668d385510fd1af3b5b563995b348f1fd2915563b35"
},
"schema_version": "1.0",
"source": {
"id": "2303.05151",
"kind": "arxiv",
"version": 1
}
}