Pith Number
pith:L7BJTIFJ
pith:2024:L7BJTIFJU7ONC3M6IFYLRNCXOW
not attested
not anchored
not stored
refs pending
A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense
arxiv:2501.00517 v1 · 2024-12-31 · cs.CR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L7BJTIFJU7ONC3M6IFYLRNCXOW}
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
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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 | 2026-07-05T09:56:07.005542Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5fc299a0a9a7dcd16d9e4170b8b457758daa1c971dd9ba33a1f0abbd31ef2998
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L7BJTIFJU7ONC3M6IFYLRNCXOW \
| 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: 5fc299a0a9a7dcd16d9e4170b8b457758daa1c971dd9ba33a1f0abbd31ef2998
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6628ad436124df05148b90864b229ab681341f59e70c9171b8d64fcadcbce7b8",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2024-12-31T16:01:25Z",
"title_canon_sha256": "d97f1bbc5588cadca7ead7756aa16c74fbb2a19c91e7f623de10bee42e24948c"
},
"schema_version": "1.0",
"source": {
"id": "2501.00517",
"kind": "arxiv",
"version": 1
}
}