Pith Number
pith:UF5RR27I
pith:2017:UF5RR27IZXZCMWUQDQVQ4GVC2W
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Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science
arxiv:1707.04780 v2 · 2017-07-15 · cs.NE · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UF5RR27IZXZCMWUQDQVQ4GVC2W}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:12:48.781932Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a17b18ebe8cdf2265a901c2b0e1aa2d5a99107bc45973f272685bf7eaecc813c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UF5RR27IZXZCMWUQDQVQ4GVC2W \
| 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: a17b18ebe8cdf2265a901c2b0e1aa2d5a99107bc45973f272685bf7eaecc813c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "41e16a463553565e825b2fbe0e5f5807ae07fa9a35977d2b7710e6c5ddad6b60",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2017-07-15T19:46:25Z",
"title_canon_sha256": "eb77806e6019508630b0d0c7244b6e2a36cff4d2bdd2189307c0c4367f6762d5"
},
"schema_version": "1.0",
"source": {
"id": "1707.04780",
"kind": "arxiv",
"version": 2
}
}