Pith Number
pith:2YP7UZAB
pith:2026:2YP7UZABBD6YWBJMF7RJAMPDF2
not attested
not anchored
not stored
refs pending
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
arxiv:2606.09125 v1 · 2026-06-08 · cs.CR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2YP7UZABBD6YWBJMF7RJAMPDF2}
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 | 2026-06-09T02:08:00.629657Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d61ffa640108fd8b052c2fe29031e32eb6bdeb5068e3e8140a7749f0988b6805
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2YP7UZABBD6YWBJMF7RJAMPDF2 \
| 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: d61ffa640108fd8b052c2fe29031e32eb6bdeb5068e3e8140a7749f0988b6805
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6ecf055a2b6947c25f29fe72e9f233474dbf924e0bd189f6f0ba6a40e09350f7",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2026-06-08T07:19:42Z",
"title_canon_sha256": "9eba2b9ae769c85121b4f33e38c6931b34f1c8e78c59319793423fa5431eab31"
},
"schema_version": "1.0",
"source": {
"id": "2606.09125",
"kind": "arxiv",
"version": 1
}
}