Pith Number
pith:2GTQP54P
pith:2025:2GTQP54PE5MBJV3SXTBV3MNILB
not attested
not anchored
not stored
refs pending
On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations
arxiv:2507.22398 v3 · 2025-07-30 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2GTQP54PE5MBJV3SXTBV3MNILB}
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.
Receipt and verification
| First computed | 2026-07-05T11:53:06.228099Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d1a707f78f275814d772bcc35db1a8586f100d19e493c6e9e34bc3a94e6ba1d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2GTQP54PE5MBJV3SXTBV3MNILB \
| 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: d1a707f78f275814d772bcc35db1a8586f100d19e493c6e9e34bc3a94e6ba1d1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "59a26ca20147ab0cbe82abe63e11fbd8caa3037fa6ce68edecf0a193118a0a29",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-30T05:41:29Z",
"title_canon_sha256": "93425c2bfa20a3f09f01c083f920f898dee6aaee4fb2e5d8d1109f744b88f9dd"
},
"schema_version": "1.0",
"source": {
"id": "2507.22398",
"kind": "arxiv",
"version": 3
}
}