Pith Number
pith:3GMP7U2L
pith:2024:3GMP7U2LPI42JT6BKGCTWDTKGX
not attested
not anchored
not stored
refs pending
Model X-Ray: Detection of Hidden Malware in AI Model Weights using Few Shot Learning
arxiv:2409.19310 v1 · 2024-09-28 · cs.CR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3GMP7U2LPI42JT6BKGCTWDTKGX}
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 | 2026-06-02T02:04:04.328600Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d998ffd34b7a39a4cfc151853b0e6a35c5229497690e6986421c9231769aeaa4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3GMP7U2LPI42JT6BKGCTWDTKGX \
| 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: d998ffd34b7a39a4cfc151853b0e6a35c5229497690e6986421c9231769aeaa4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f3e350de44a8449033465b6f19a35ed328637538706047d0862599853f510ff4",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2024-09-28T10:45:28Z",
"title_canon_sha256": "c605e0bacc42882488d15694abfcf82346753c6b3d2f617f1b0f73cef71404ea"
},
"schema_version": "1.0",
"source": {
"id": "2409.19310",
"kind": "arxiv",
"version": 1
}
}