Pith Number
pith:K4ESCZH7
pith:2026:K4ESCZH7PCMYU6MDVKOJX6GKRY
not attested
not anchored
not stored
refs pending
Robustness of neural networks to random noise perturbations of their inputs
arxiv:2606.31581 v1 · 2026-06-30 · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K4ESCZH7PCMYU6MDVKOJX6GKRY}
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 | 2026-07-01T01:18:08.300267Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
57092164ff78998a7983aa9c9bf8ca8e123caf6c88cd23068b23ff6fd055e548
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K4ESCZH7PCMYU6MDVKOJX6GKRY \
| 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: 57092164ff78998a7983aa9c9bf8ca8e123caf6c88cd23068b23ff6fd055e548
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c14543df93d345da70f2bc4e80c66a7826c2d41d42e6c48ef6d11a6d771c2be5",
"cross_cats_sorted": [
"cs.NE"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-30T12:36:21Z",
"title_canon_sha256": "4c9cb9064a9134700ccacf3273a99336408203f9846af5398024018254f60813"
},
"schema_version": "1.0",
"source": {
"id": "2606.31581",
"kind": "arxiv",
"version": 1
}
}