Pith Number
pith:JOROJ6QC
pith:2024:JOROJ6QCGJ5JFB5LC2OARRLZNJ
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Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN
arxiv:2407.15656 v1 · 2024-07-22 · cs.CR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JOROJ6QCGJ5JFB5LC2OARRLZNJ}
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Record completeness
1
Bitcoin timestamp
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Internet Archive
3
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4
Citations
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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 | 2026-07-05T08:46:59.386613Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4ba2e4fa02327a9287ab169c08c5796a4c4e2e78e6523e69f296f643554fe38c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JOROJ6QCGJ5JFB5LC2OARRLZNJ \
| 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: 4ba2e4fa02327a9287ab169c08c5796a4c4e2e78e6523e69f296f643554fe38c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ee60dc0ea08b3fb584af7b5c60550b7d4964221c66df69f390e7760369269c22",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2024-07-22T14:17:29Z",
"title_canon_sha256": "d00a71c7039f8a9362ee5bb8b4c18c73255f4c3921cb5c2403e403c81944c1ce"
},
"schema_version": "1.0",
"source": {
"id": "2407.15656",
"kind": "arxiv",
"version": 1
}
}