Pith Number
pith:YPE2S33G
pith:2026:YPE2S33GBUW3RUT6BKKXDD3BBY
not attested
not anchored
not stored
refs pending
Tensor-Based Batch Fuzzing with Adaptive Perturbation Scaling for Deep Neural Networks
arxiv:2606.25239 v1 · 2026-06-23 · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YPE2S33GBUW3RUT6BKKXDD3BBY}
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
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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 | 2026-06-25T00:18:21.877666Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c3c9a96f660d2db8d27e0a95718f610e2e979f4c525d623991bf5f28ab8b24f2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YPE2S33GBUW3RUT6BKKXDD3BBY \
| 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: c3c9a96f660d2db8d27e0a95718f610e2e979f4c525d623991bf5f28ab8b24f2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a7fa5f48d114da3d101a96e35cbf8987113e6a8d8944ba9bdafcfec70e4f7f3c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2026-06-23T23:56:21Z",
"title_canon_sha256": "912439cb19a10aafbe1416cff8bfabf68e3a49b30a179fe54037e1c8f2e9b080"
},
"schema_version": "1.0",
"source": {
"id": "2606.25239",
"kind": "arxiv",
"version": 1
}
}