Pith Number
pith:7J6KBZNK
pith:2016:7J6KBZNKNMFH4Q5BEPTUAAZ2CU
not attested
not anchored
not stored
refs pending
Improving the Robustness of Deep Neural Networks via Stability Training
arxiv:1604.04326 v1 · 2016-04-15 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7J6KBZNKNMFH4Q5BEPTUAAZ2CU}
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 | 2026-05-18T01:17:04.501223Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fa7ca0e5aa6b0a7e43a123e740033a150d92db17a1365e58b9b4151008667c7c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7J6KBZNKNMFH4Q5BEPTUAAZ2CU \
| 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: fa7ca0e5aa6b0a7e43a123e740033a150d92db17a1365e58b9b4151008667c7c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a3e2b7c31cca78e88746f59514cfd801607c9be7c4105e7c79dd57a455259aac",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-04-15T01:15:18Z",
"title_canon_sha256": "001af2b99876c8dc9107de7416ee17ffc06171db380e200f179c75512e83c2ec"
},
"schema_version": "1.0",
"source": {
"id": "1604.04326",
"kind": "arxiv",
"version": 1
}
}