Pith Number
pith:5P2IBTY2
pith:2025:5P2IBTY2E2GLXM3GS77ILPM45Q
not attested
not anchored
not stored
refs pending
A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games
arxiv:2509.03682 v1 · 2025-09-03 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5P2IBTY2E2GLXM3GS77ILPM45Q}
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 | 2026-07-05T12:04:44.262159Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ebf480cf1a268cbbb36697fe85bd9cec0fc95841afb77a74ed1be634b1a90aaa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5P2IBTY2E2GLXM3GS77ILPM45Q \
| 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: ebf480cf1a268cbbb36697fe85bd9cec0fc95841afb77a74ed1be634b1a90aaa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "121cf4d244b13280d5211485d7c0713db0e3ac4dbfe1fd8c6170d1ff9ad7b579",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-09-03T20:05:58Z",
"title_canon_sha256": "fd7ee6927077779674adb9dc826fec0e449c3cd20c816c75199b240aef06bcc5"
},
"schema_version": "1.0",
"source": {
"id": "2509.03682",
"kind": "arxiv",
"version": 1
}
}