Pith Number
pith:YKNN26FL
pith:2016:YKNN26FL5XDXD7YXENFDXI3T27
not attested
not anchored
not stored
refs pending
Exponential expressivity in deep neural networks through transient chaos
arxiv:1606.05340 v2 · 2016-06-16 · stat.ML · cond-mat.dis-nn · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YKNN26FL5XDXD7YXENFDXI3T27}
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 | 2026-05-18T01:12:11.321470Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c29add78abedc771ff17234a3ba373d7c9aa28c26457669d3da4f7a19aefb6e1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YKNN26FL5XDXD7YXENFDXI3T27 \
| 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: c29add78abedc771ff17234a3ba373d7c9aa28c26457669d3da4f7a19aefb6e1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ada722806730540472d186a8b49f05a6a7899866b79685891b27a677f89e470e",
"cross_cats_sorted": [
"cond-mat.dis-nn",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2016-06-16T19:59:57Z",
"title_canon_sha256": "db6eade9e497ca57b1167d74ae260b9066d61e1c5ef03607c4df1a416d04b6e9"
},
"schema_version": "1.0",
"source": {
"id": "1606.05340",
"kind": "arxiv",
"version": 2
}
}