Pith Number
pith:SO4TAI6X
pith:2026:SO4TAI6XDWNQTOECGJBZUVNMQR
not attested
not anchored
not stored
refs pending
Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking
arxiv:2603.06607 v2 · 2026-02-18 · cs.MA · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SO4TAI6XDWNQTOECGJBZUVNMQR}
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 | 2026-07-07T03:18:54.545819Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
93b93023d71d9b09b88232439a55ac845203f9a01730839587d5b499c666c1ea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SO4TAI6XDWNQTOECGJBZUVNMQR \
| 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: 93b93023d71d9b09b88232439a55ac845203f9a01730839587d5b499c666c1ea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0da86dd3c5e111313c3d7ff9277962fc1e9e7ee2888f8f6ab6e4b71394590305",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.MA",
"submitted_at": "2026-02-18T14:46:56Z",
"title_canon_sha256": "655fe3984ff6dc8732f920295e6654b02da207d723e1807f1d6bb7bf2ec9f01a"
},
"schema_version": "1.0",
"source": {
"id": "2603.06607",
"kind": "arxiv",
"version": 2
}
}