Pith Number
pith:2ZJVILXQ
pith:2024:2ZJVILXQCN6WNYSLJPF24YRWYR
not attested
not anchored
not stored
refs pending
Why you don't overfit, and don't need Bayes if you only train for one epoch
arxiv:2411.14478 v1 · 2024-11-19 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2ZJVILXQCN6WNYSLJPF24YRWYR}
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 | 2026-07-05T09:38:51.817965Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d653542ef0137d66e24b4bcbae6236c45ddef76fd2e01205e8b8e93f564792ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2ZJVILXQCN6WNYSLJPF24YRWYR \
| 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: d653542ef0137d66e24b4bcbae6236c45ddef76fd2e01205e8b8e93f564792ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fd93cdde09527b09c445a2c63bddb5b92120b9f021aa93d79282c738f1ca38c7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-19T09:36:48Z",
"title_canon_sha256": "efb045632858922f2b5e36aa309737638880c8ebe47ec5e689a6fc58cf8ea722"
},
"schema_version": "1.0",
"source": {
"id": "2411.14478",
"kind": "arxiv",
"version": 1
}
}