Pith Number
pith:7YMIYPI2
pith:2022:7YMIYPI2VU65YY5NUCI67ZWSMW
not attested
not anchored
not stored
refs pending
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
arxiv:2205.14953 v3 · 2022-05-30 · cs.MA · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7YMIYPI2VU65YY5NUCI67ZWSMW}
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 | 2026-07-05T05:11:22.267239Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe188c3d1aad3ddc63ada091efe6d265b502cd13a949f20ef685b7cb85f6b8ae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7YMIYPI2VU65YY5NUCI67ZWSMW \
| 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: fe188c3d1aad3ddc63ada091efe6d265b502cd13a949f20ef685b7cb85f6b8ae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b0f8fc7e48bb1749e4f99819c4a054de0db85d2c64b7bea785786d78d6b4c085",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.MA",
"submitted_at": "2022-05-30T09:39:45Z",
"title_canon_sha256": "67c7a2ad79c85d528d9c1acedae1295271d0a0f3a5064ee1cea859110d56ea1f"
},
"schema_version": "1.0",
"source": {
"id": "2205.14953",
"kind": "arxiv",
"version": 3
}
}