Pith Number
pith:MLO4M32F
pith:2017:MLO4M32F3MVHSAF4ML75WMO4GS
not attested
not anchored
not stored
refs pending
MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks
arxiv:1705.09764 v2 · 2017-05-27 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MLO4M32F3MVHSAF4ML75WMO4GS}
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 | 2026-05-18T00:16:09.048500Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62ddc66f45db2a7900bc62ffdb31dc34b8908c1222b30a393d56a3b6a5c523f5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MLO4M32F3MVHSAF4ML75WMO4GS \
| 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: 62ddc66f45db2a7900bc62ffdb31dc34b8908c1222b30a393d56a3b6a5c523f5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aa748b5936796b63a8f5684e757e6e8d6fc07e1f543de0c67afd7ef4cf88140e",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-05-27T04:29:04Z",
"title_canon_sha256": "23014d82fc2b4487c3880d5f009d81124e7f4202bfe9b34ca1ca9a41a26bdabe"
},
"schema_version": "1.0",
"source": {
"id": "1705.09764",
"kind": "arxiv",
"version": 2
}
}