Pith Number
pith:O2DRTY44
pith:2023:O2DRTY44AY5OGKMJ77TU6ST3DY
not attested
not anchored
not stored
refs pending
A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models
arxiv:2308.00452 v2 · 2023-08-01 · cs.LG · cs.CV · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O2DRTY44AY5OGKMJ77TU6ST3DY}
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 | 2026-07-05T06:48:36.055182Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
768719e39c063ae32989ffe74f4a7b1e18a06bc9c2a24a5c824eaadc3b679fdb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O2DRTY44AY5OGKMJ77TU6ST3DY \
| 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: 768719e39c063ae32989ffe74f4a7b1e18a06bc9c2a24a5c824eaadc3b679fdb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f92676c29c09d20f1ac11f8d706f0506859f155ed2bc7b90991a579fd67f1819",
"cross_cats_sorted": [
"cs.CV",
"cs.SE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-08-01T11:05:13Z",
"title_canon_sha256": "ba61884b70ec5e5008cf35e34c23598f3a7e4ea28a8812e51f23610ec571b9f5"
},
"schema_version": "1.0",
"source": {
"id": "2308.00452",
"kind": "arxiv",
"version": 2
}
}