Pith Number
pith:JBZP6UTX
pith:2025:JBZP6UTXLODYEDYXNRTN5LC5IZ
not attested
not anchored
not stored
refs pending
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents
arxiv:2504.19956 v2 · 2025-04-28 · cs.CR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JBZP6UTXLODYEDYXNRTN5LC5IZ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:57:57.284875Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4872ff52775b87820f176c66deac5d465153faf6dc6ea1f61813c3a1738a2df4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JBZP6UTXLODYEDYXNRTN5LC5IZ \
| 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: 4872ff52775b87820f176c66deac5d465153faf6dc6ea1f61813c3a1738a2df4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0a4e06333ba37d1a7c38973941795d55b0cd11aa066d19e22873a51c71d33dc3",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2025-04-28T16:29:24Z",
"title_canon_sha256": "a777235e5b709a584c60eab521ca5cb87787d7abce5d9c3d7b5a549a456430cd"
},
"schema_version": "1.0",
"source": {
"id": "2504.19956",
"kind": "arxiv",
"version": 2
}
}