Pith Number
pith:AKYNN34X
pith:2024:AKYNN34XBCL7XCG4JLPRK632MP
not attested
not anchored
not stored
refs pending
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles
arxiv:2410.18786 v1 · 2024-10-24 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AKYNN34XBCL7XCG4JLPRK632MP}
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 | 2026-07-05T09:25:13.683287Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
02b0d6ef970897fb88dc4adf157b7a63d87be8e41f23c2f1d2de741a355a46eb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AKYNN34XBCL7XCG4JLPRK632MP \
| 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: 02b0d6ef970897fb88dc4adf157b7a63d87be8e41f23c2f1d2de741a355a46eb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5e7fd722a392ebc845e4277bd3f406d804d8fcf7669e2a6d2d35e5679f335860",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-10-24T14:37:55Z",
"title_canon_sha256": "73d2743c48ee13805d3aecd85acfdf36773f2c2d8f27474f94999e81f73c3391"
},
"schema_version": "1.0",
"source": {
"id": "2410.18786",
"kind": "arxiv",
"version": 1
}
}