Pith Number
pith:LYUX6DL5
pith:2024:LYUX6DL5PGMUWECWIATMOEHNMA
not attested
not anchored
not stored
refs pending
High-dimensional learning of narrow neural networks
arxiv:2409.13904 v2 · 2024-09-20 · stat.ML · cond-mat.dis-nn · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LYUX6DL5PGMUWECWIATMOEHNMA}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:01:00.868593Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e297f0d7d79994b10564026c710ed600115aa22cef216e4fc822a6635099153
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LYUX6DL5PGMUWECWIATMOEHNMA \
| 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: 5e297f0d7d79994b10564026c710ed600115aa22cef216e4fc822a6635099153
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4a8f372cf461804e5b74266851858967115b30eab0cda817632162b8436821b5",
"cross_cats_sorted": [
"cond-mat.dis-nn",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-09-20T21:20:04Z",
"title_canon_sha256": "0d1513198c114a5d32ac8a54877246c721eb8915c9290cf92fbaccc7833761d4"
},
"schema_version": "1.0",
"source": {
"id": "2409.13904",
"kind": "arxiv",
"version": 2
}
}