Pith Number
pith:44Q5BS46
pith:2024:44Q5BS46HKFGUPAZGML5FAJIAF
not attested
not anchored
not stored
refs pending
Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A Survey
arxiv:2404.00340 v1 · 2024-03-30 · cs.RO · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{44Q5BS46HKFGUPAZGML5FAJIAF}
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 | 2026-07-05T08:02:31.717933Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e721d0cb9e3a8a6a3c193317d28128014a6edde0f585e546eefcba2715fe2732
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/44Q5BS46HKFGUPAZGML5FAJIAF \
| 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: e721d0cb9e3a8a6a3c193317d28128014a6edde0f585e546eefcba2715fe2732
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "947ec152c4a170e0d168066553897967847869af5f21579b019edc013ac394ab",
"cross_cats_sorted": [
"cs.SY",
"eess.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-03-30T12:37:58Z",
"title_canon_sha256": "7824a91050e6fbe8a81f47efbac6b140e36bacc0f838c70561b740cef37fee11"
},
"schema_version": "1.0",
"source": {
"id": "2404.00340",
"kind": "arxiv",
"version": 1
}
}