Pith Number
pith:LVM7EVDY
pith:2026:LVM7EVDYJG7PH4VS6Y6I6J3NVS
not attested
not anchored
not stored
refs pending
From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression
arxiv:2605.24316 v1 · 2026-05-23 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LVM7EVDYJG7PH4VS6Y6I6J3NVS}
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 | 2026-05-26T01:02:59.376429Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5d59f2547849bef3f2b2f63c8f276dac8c65e4e161469e965894f583b49bb334
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LVM7EVDYJG7PH4VS6Y6I6J3NVS \
| 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: 5d59f2547849bef3f2b2f63c8f276dac8c65e4e161469e965894f583b49bb334
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4559e696d6144c1dce34f3fc775f25e56d64d2d15554569b4c90d90d391189a5",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-23T00:48:36Z",
"title_canon_sha256": "d7c732dccf16368acbf3bf615b6de556256838ca28c6a2f3e2b71af3517d31bf"
},
"schema_version": "1.0",
"source": {
"id": "2605.24316",
"kind": "arxiv",
"version": 1
}
}