Pith Number
pith:A6I22KBK
pith:2022:A6I22KBKRK4BH52H5W2AQA2EFQ
not attested
not anchored
not stored
refs pending
On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes
arxiv:2203.11864 v2 · 2022-03-22 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A6I22KBKRK4BH52H5W2AQA2EFQ}
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 | 2026-07-05T04:37:05.089924Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0791ad282a8ab813f747edb40803442c0914a2fa4b3ba866b4ecbcb8b6ec1e4f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A6I22KBKRK4BH52H5W2AQA2EFQ \
| 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: 0791ad282a8ab813f747edb40803442c0914a2fa4b3ba866b4ecbcb8b6ec1e4f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "82584cbf32e10161cfa10b7232c3219295d8874637e655ae46127350e8ce8775",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2022-03-22T16:40:52Z",
"title_canon_sha256": "5008163c09034f32490d7dba583d8c80e828cc77d62b5629a2aa734cb2d44cd1"
},
"schema_version": "1.0",
"source": {
"id": "2203.11864",
"kind": "arxiv",
"version": 2
}
}