Pith Number
pith:IBXMEMXB
pith:2023:IBXMEMXBC5P6SLFVOSOYNWEG2Y
not attested
not anchored
not stored
refs pending
Node Perturbation Can Effectively Train Multi-Layer Neural Networks
arxiv:2310.00965 v8 · 2023-10-02 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IBXMEMXBC5P6SLFVOSOYNWEG2Y}
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 | 2026-06-03T01:05:42.444180Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
406ec232e1175fe92cb5749d86d886d63ac1746dda92df7bf9d3da590c7ce114
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IBXMEMXBC5P6SLFVOSOYNWEG2Y \
| 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: 406ec232e1175fe92cb5749d86d886d63ac1746dda92df7bf9d3da590c7ce114
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "246df41eaa3678088ac3d0968028574b30a9626ddaa400c22c6b88c16438e142",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-02T08:12:51Z",
"title_canon_sha256": "c8e8037545c61ec7863003f6ef767ae36c204100faa6adc17d881cffdb5c21a3"
},
"schema_version": "1.0",
"source": {
"id": "2310.00965",
"kind": "arxiv",
"version": 8
}
}