Pith Number
pith:67FOXHHX
pith:2024:67FOXHHXW747GICZ3QUH4D3DE4
not attested
not anchored
not stored
refs pending
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code?
arxiv:2412.07538 v2 · 2024-12-10 · cs.CR · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{67FOXHHXW747GICZ3QUH4D3DE4}
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.
Receipt and verification
| First computed | 2026-07-05T10:41:18.672420Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f7caeb9cf7b7f9f32059dc287e0f6327051f4decfa76e6d5fef29c2d7b0762a9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/67FOXHHXW747GICZ3QUH4D3DE4 \
| 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: f7caeb9cf7b7f9f32059dc287e0f6327051f4decfa76e6d5fef29c2d7b0762a9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "63cc518db28023f3981c1c5e8d852443def65973c1d30ee4fc77826bfcf65de2",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2024-12-10T14:17:14Z",
"title_canon_sha256": "45d15fd8064d6b565022d0c8c88f337a31f09c76ee9a6c2da6ea0157b26867dd"
},
"schema_version": "1.0",
"source": {
"id": "2412.07538",
"kind": "arxiv",
"version": 2
}
}