Pith Number
pith:HPV5IM3O
pith:2016:HPV5IM3ODLJJPVIITFVXX3G3IS
not attested
not anchored
not stored
refs pending
The empirical size of trained neural networks
arxiv:1611.09444 v1 · 2016-11-29 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HPV5IM3ODLJJPVIITFVXX3G3IS}
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 | 2026-05-18T00:56:18.512991Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3bebd4336e1ad297d508996b7becdb4498a03a8d384497e21dbd3acea0c4c2ae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HPV5IM3ODLJJPVIITFVXX3G3IS \
| 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: 3bebd4336e1ad297d508996b7becdb4498a03a8d384497e21dbd3acea0c4c2ae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "883d13c00cf8eae25c7448f569c0c589d1f30f4943042d8c15c696006339711f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2016-11-29T00:39:45Z",
"title_canon_sha256": "4db0e7d7a80bff998149c8b2315196e3adb391b342c598d3509ea1d1877a5c1f"
},
"schema_version": "1.0",
"source": {
"id": "1611.09444",
"kind": "arxiv",
"version": 1
}
}