Pith Number
pith:JJ4QLU5Y
pith:2026:JJ4QLU5YY6T2AWPCEHW4WVO6NQ
not attested
not anchored
not stored
refs pending
GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation
arxiv:2606.05002 v1 · 2026-06-03 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JJ4QLU5YY6T2AWPCEHW4WVO6NQ}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-06-04T01:10:00.994332Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4a7905d3b8c7a7a059e221edcb55de6c09c8d0f53264255b631d31ee78ea9ccd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JJ4QLU5YY6T2AWPCEHW4WVO6NQ \
| 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: 4a7905d3b8c7a7a059e221edcb55de6c09c8d0f53264255b631d31ee78ea9ccd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fe4c0280d5a257450c2e19144519f75a4be9ebb9420fce89bd8d991bc05d7103",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-06-03T15:19:55Z",
"title_canon_sha256": "9f0036cfdf56e983787f8c4be278fc888e1381d0a774838dfb039d62039272ac"
},
"schema_version": "1.0",
"source": {
"id": "2606.05002",
"kind": "arxiv",
"version": 1
}
}