Pith Number
pith:KWETOWKZ
pith:2025:KWETOWKZYWIFEBMN74OVA7TWKC
not attested
not anchored
not stored
refs pending
The impact of allocation strategies in subset learning on the expressive power of neural networks
arxiv:2502.06300 v1 · 2025-02-10 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KWETOWKZYWIFEBMN74OVA7TWKC}
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 | 2026-07-05T10:11:50.197719Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5589375959c59052058dff1d507e7650afe4965305416005a77d5c6d13dca439
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KWETOWKZYWIFEBMN74OVA7TWKC \
| 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: 5589375959c59052058dff1d507e7650afe4965305416005a77d5c6d13dca439
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "10ffb8ed1df9052133c4d845325faa3d7367d5e0a81c887804a0b960ddf95fa0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-10T09:43:43Z",
"title_canon_sha256": "835bb575ec65f98eb39b284b44abe88ddaa26a5817ad6a69ba1e33c714f75bc3"
},
"schema_version": "1.0",
"source": {
"id": "2502.06300",
"kind": "arxiv",
"version": 1
}
}