Pith Number
pith:MKYDJWZV
pith:2025:MKYDJWZVGOBLTDAORCEGYX25ZJ
not attested
not anchored
not stored
refs pending
SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
arxiv:2502.12562 v3 · 2025-02-18 · cs.CL · cs.CR · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MKYDJWZVGOBLTDAORCEGYX25ZJ}
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 | 2026-07-05T11:14:27.485858Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62b034db353382b98c0e88886c5f5dca514f9ea6ede1150a851aa355c8fdc495
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MKYDJWZVGOBLTDAORCEGYX25ZJ \
| 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: 62b034db353382b98c0e88886c5f5dca514f9ea6ede1150a851aa355c8fdc495
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f1bfa86162459e8dbf4a89a94c484057b866071e377b0261deb928c1bf7d85f5",
"cross_cats_sorted": [
"cs.CR",
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-02-18T05:57:35Z",
"title_canon_sha256": "2c1321939ebbd65755af23d35da3ebdbf2ac4a7518504d6093bf82a10f6e07d6"
},
"schema_version": "1.0",
"source": {
"id": "2502.12562",
"kind": "arxiv",
"version": 3
}
}