Pith Number
pith:YVSZ5RA5
pith:2023:YVSZ5RA5MHZQPYOYMCUY7I6WC4
not attested
not anchored
not stored
refs pending
Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems
arxiv:2312.06659 v2 · 2023-12-11 · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YVSZ5RA5MHZQPYOYMCUY7I6WC4}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:14:02.700984Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c5659ec41d61f307e1d860a98fa3d61722a8274322da0420d38a7ba49830f0cf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YVSZ5RA5MHZQPYOYMCUY7I6WC4 \
| 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: c5659ec41d61f307e1d860a98fa3d61722a8274322da0420d38a7ba49830f0cf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "404b47ce52d72ec7bea594be907492e25282819b911a322965f0c44ee8eab392",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.OC",
"submitted_at": "2023-12-11T18:59:51Z",
"title_canon_sha256": "f9f380dba321bf6ac6d0d47e04b968576fe3976deb5e03539330819c8ba4708e"
},
"schema_version": "1.0",
"source": {
"id": "2312.06659",
"kind": "arxiv",
"version": 2
}
}