Pith Number
pith:KVIM5YYA
pith:2016:KVIM5YYA2RXTOENMYWHEPIHWVI
not attested
not anchored
not stored
refs pending
Improving Deep Neural Network with Multiple Parametric Exponential Linear Units
arxiv:1606.00305 v3 · 2016-06-01 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KVIM5YYA2RXTOENMYWHEPIHWVI}
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 | 2026-05-18T00:52:44.251389Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5550cee300d46f3711acc58e47a0f6aa37e23ca497690029c47a706a5314c8ae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KVIM5YYA2RXTOENMYWHEPIHWVI \
| 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: 5550cee300d46f3711acc58e47a0f6aa37e23ca497690029c47a706a5314c8ae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e4f16907f36c1eea08c94b285b466b5810ba4f93bb734ce8525bcf65523c204e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-06-01T14:33:17Z",
"title_canon_sha256": "1b6187e3425b7a032e450508cb8c1e2d4df282a2ee624a99c7b87c259e3b5598"
},
"schema_version": "1.0",
"source": {
"id": "1606.00305",
"kind": "arxiv",
"version": 3
}
}