Pith Number
pith:ZWAK5V2R
pith:2018:ZWAK5V2R5OIY4PZ7Z6XD2HNMIZ
not attested
not anchored
not stored
refs pending
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning
arxiv:1805.00200 v1 · 2018-05-01 · cs.SE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZWAK5V2R5OIY4PZ7Z6XD2HNMIZ}
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 | 2026-05-18T00:10:27.862070Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd80aed751eb918e3f3fcfae3d1dac46525be7c8fbb98eb8ee100048b2069f76
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZWAK5V2R5OIY4PZ7Z6XD2HNMIZ \
| 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: cd80aed751eb918e3f3fcfae3d1dac46525be7c8fbb98eb8ee100048b2069f76
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "50719d77693d5e12fcd8d81860196c8c2b35acb666cfb8f6501fa4d43f79f6b8",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SE",
"submitted_at": "2018-05-01T06:22:54Z",
"title_canon_sha256": "c6568713ceb4bbf34a4e9b437e721aee856d0398040ff8fadd65bcfc4925a0db"
},
"schema_version": "1.0",
"source": {
"id": "1805.00200",
"kind": "arxiv",
"version": 1
}
}