Pith Number
pith:6DTJ5J2H
pith:2026:6DTJ5J2HBDNE6F2P636R5N36AJ
not attested
not anchored
not stored
refs pending
Multi-agent imitation learning with function approximation: Linear Markov games and beyond
arxiv:2602.22810 v2 · 2026-02-26 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6DTJ5J2HBDNE6F2P636R5N36AJ}
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 | 2026-06-24T01:14:26.569930Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f0e69ea74708da4f174ff6fd1eb77e0254127722731d366ed2a99a698b7b945e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6DTJ5J2HBDNE6F2P636R5N36AJ \
| 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: f0e69ea74708da4f174ff6fd1eb77e0254127722731d366ed2a99a698b7b945e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "12929d5661c72427b7ab071680ba66b7cb28a98f671af455234dc981915d62de",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-02-26T09:50:15Z",
"title_canon_sha256": "892b6390987311f6e9e48b88e1f7a9677b8ba538f3eb1ff4c8bb77f5dc3c8fab"
},
"schema_version": "1.0",
"source": {
"id": "2602.22810",
"kind": "arxiv",
"version": 2
}
}