Pith Number
pith:BOLNA5NU
pith:2026:BOLNA5NUIFHSJY35KD7Q7HZEVN
not attested
not anchored
not stored
refs pending
Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases
arxiv:2605.20314 v1 · 2026-05-19 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BOLNA5NUIFHSJY35KD7Q7HZEVN}
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 | 2026-05-21T00:04:25.027555Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b96d075b4414f24e37d50ff0f9f24ab654cbb7417908b9fa336ca27c2d4fd2f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BOLNA5NUIFHSJY35KD7Q7HZEVN \
| 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: 0b96d075b4414f24e37d50ff0f9f24ab654cbb7417908b9fa336ca27c2d4fd2f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ea9bfd39e3a3860c8ef2677e639ce4c505181a274763b524ef19531c921f1b67",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-19T17:28:20Z",
"title_canon_sha256": "f14390d88f84b20d83dd220e4215369308502bb5a85edabb318fc3f71dc142aa"
},
"schema_version": "1.0",
"source": {
"id": "2605.20314",
"kind": "arxiv",
"version": 1
}
}