Pith Number
pith:J7Y77Y75
pith:2026:J7Y77Y75T2VWZK37FUYZCD3VCD
not attested
not anchored
not stored
refs pending
Expert Knowledge-driven Reinforcement Learning for Autonomous Racing via Trajectory Guidance and Dynamics Constraints
arxiv:2603.05842 v2 · 2026-03-06 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J7Y77Y75T2VWZK37FUYZCD3VCD}
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 | 2026-07-15T01:21:51.087390Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4ff1ffe3fd9eab6cab7f2d31910f7510efaffba2535e430d8d4bc4cece408051
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J7Y77Y75T2VWZK37FUYZCD3VCD \
| 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: 4ff1ffe3fd9eab6cab7f2d31910f7510efaffba2535e430d8d4bc4cece408051
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "358181ee2c766bd26f6551b9249625c14b87474043d16c6d7f9e70bc8042bddf",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2026-03-06T02:51:54Z",
"title_canon_sha256": "249ee222b23a13974052e38b92f826d8f69970326bad013fce03a96996a60cba"
},
"schema_version": "1.0",
"source": {
"id": "2603.05842",
"kind": "arxiv",
"version": 2
}
}