Pith Number
pith:JN7UP5WX
pith:2026:JN7UP5WXLB5GNGZF2LG6BAESN2
not attested
not anchored
not stored
refs pending
DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models
arxiv:2605.18868 v1 · 2026-05-15 · cs.CR · cs.AI · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JN7UP5WXLB5GNGZF2LG6BAESN2}
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 | 2026-05-20T00:06:29.477717Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4b7f47f6d7587a669b25d2cde080926eb9a968da19343eb23428fa7f02dc8808
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JN7UP5WXLB5GNGZF2LG6BAESN2 \
| 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: 4b7f47f6d7587a669b25d2cde080926eb9a968da19343eb23428fa7f02dc8808
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "22a4eea1a2e90c21ef878111270814524fd0af3a61fb42caa5b4a5624538f65e",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2026-05-15T12:28:16Z",
"title_canon_sha256": "57d863f1130ad3bc21e9bbd1e6e4fd32830cf20148ac0b8afa78cf47de44dbaa"
},
"schema_version": "1.0",
"source": {
"id": "2605.18868",
"kind": "arxiv",
"version": 1
}
}