Pith Number
pith:XG2LM6VV
pith:2017:XG2LM6VVLPTI65OLBFVZ4R6HGM
not attested
not anchored
not stored
refs pending
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
arxiv:1711.00832 v2 · 2017-11-02 · cs.AI · cs.GT · cs.LG · cs.MA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XG2LM6VVLPTI65OLBFVZ4R6HGM}
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 | 2026-05-18T00:31:11.077389Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9b4b67ab55be68f75cb096b9e47c73331777de7b75d7eb4a75e5b095a45e355
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XG2LM6VVLPTI65OLBFVZ4R6HGM \
| 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: b9b4b67ab55be68f75cb096b9e47c73331777de7b75d7eb4a75e5b095a45e355
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0910678a956fa472a96117be2b53ea47f7e22de5ae22ba94e6affbf8bd2a8126",
"cross_cats_sorted": [
"cs.GT",
"cs.LG",
"cs.MA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2017-11-02T17:34:24Z",
"title_canon_sha256": "5c7b5fd148ac7cf758015b946784b6137d965e231888160d2e1174fc3e35f296"
},
"schema_version": "1.0",
"source": {
"id": "1711.00832",
"kind": "arxiv",
"version": 2
}
}