Pith Number
pith:NYPVPQZG
pith:2022:NYPVPQZGDHYET6DNGJLPLZ7NNH
not attested
not anchored
not stored
refs pending
Gaussian Pre-Activations in Neural Networks: Myth or Reality?
arxiv:2205.12379 v4 · 2022-05-24 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NYPVPQZGDHYET6DNGJLPLZ7NNH}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:55:15.235334Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6e1f57c32619f049f86d3256f5e7ed69d703d190f1c23c5fa6b7bd26ad6180cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NYPVPQZGDHYET6DNGJLPLZ7NNH \
| 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: 6e1f57c32619f049f86d3256f5e7ed69d703d190f1c23c5fa6b7bd26ad6180cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e329f744a291ad450305b69f81af023735b4341859aa0579ffa3e015bdaec26c",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-05-24T21:52:23Z",
"title_canon_sha256": "f7e8b1c54a789a2672d5949aede259c87e9df699c807d698b414bc6d5c70f7e5"
},
"schema_version": "1.0",
"source": {
"id": "2205.12379",
"kind": "arxiv",
"version": 4
}
}