Pith Number
pith:57AGYSW2
pith:2023:57AGYSW24QBC6JAHUAE7NRSW4T
not attested
not anchored
not stored
refs pending
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control
arxiv:2310.02435 v1 · 2023-10-03 · cs.MA · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{57AGYSW24QBC6JAHUAE7NRSW4T}
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 | 2026-07-05T06:56:57.310165Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
efc06c4adae4022f2407a009f6c656e4c2a4a1951ad9e24e29a18b5bedd84ec2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/57AGYSW24QBC6JAHUAE7NRSW4T \
| 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: efc06c4adae4022f2407a009f6c656e4c2a4a1951ad9e24e29a18b5bedd84ec2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "61fd50da728f21e29f647b77f9511385870dd7f8737c71b1bdc586a05f2eb9f5",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.MA",
"submitted_at": "2023-10-03T21:06:51Z",
"title_canon_sha256": "a313b14c6d5d19a57d180f35c8fbd8ad59cc9f03cf93cfc10ece05611dadc4c8"
},
"schema_version": "1.0",
"source": {
"id": "2310.02435",
"kind": "arxiv",
"version": 1
}
}