Pith Number
pith:H7PW6OJM
pith:2016:H7PW6OJMH4LLIR4ZXQCYJKQT2S
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A New Training Method for Feedforward Neural Networks Based on Geometric Contraction Property of Activation Functions
arxiv:1606.05990 v2 · 2016-06-20 · cs.NE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H7PW6OJMH4LLIR4ZXQCYJKQT2S}
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Record completeness
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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 | 2026-05-18T00:08:24.004589Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3fdf6f392c3f16b44799bc0584aa13d48a01d13c432cabd8ca35307540e874e8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H7PW6OJMH4LLIR4ZXQCYJKQT2S \
| 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: 3fdf6f392c3f16b44799bc0584aa13d48a01d13c432cabd8ca35307540e874e8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "98b64715fc315a7ab97375e684c53d7f2f4c6e147b925f0fc0b80aacde97f896",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2016-06-20T07:05:14Z",
"title_canon_sha256": "888f8d90f9bf8e5dc3cdee837644c957156060b3e931d6f234cebeadaa371752"
},
"schema_version": "1.0",
"source": {
"id": "1606.05990",
"kind": "arxiv",
"version": 2
}
}