Pith Number
pith:STU5327F
pith:2025:STU5327F7XWZQ6K7DQBSBHAOYS
not attested
not anchored
not stored
refs pending
From Learning to Unlearning: Biomedical Security Protection in Multimodal Large Language Models
arxiv:2508.04192 v1 · 2025-08-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{STU5327F7XWZQ6K7DQBSBHAOYS}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:49:22.442868Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
94e9ddebe5fded98795f1c03209c0ec4b926d87835dc1dfd1769747cbdb7c00b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/STU5327F7XWZQ6K7DQBSBHAOYS \
| 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: 94e9ddebe5fded98795f1c03209c0ec4b926d87835dc1dfd1769747cbdb7c00b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ecdbca433c6df437e04c0ea168397199ee3ad11a097531723a6e2ec2125f5f31",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-06T08:22:55Z",
"title_canon_sha256": "f36b9d784f80a82e450733eb939ef13dbf6ab13c70484622484ca72c6604a581"
},
"schema_version": "1.0",
"source": {
"id": "2508.04192",
"kind": "arxiv",
"version": 1
}
}