Pith Number
pith:3GHD4LC7
pith:2019:3GHD4LC7V2JG5S625QGKPQA5RS
not attested
not anchored
not stored
refs pending
The Multi-Agent Reinforcement Learning in Malm\"O (MARL\"O) Competition
arxiv:1901.08129 v2 · 2019-01-23 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3GHD4LC7V2JG5S625QGKPQA5RS}
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 | 2026-07-05T10:47:22.863920Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d98e3e2c5fae926ecbdaec0ca7c01d8ca97bb6ea14e88722654154994deb725a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3GHD4LC7V2JG5S625QGKPQA5RS \
| 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: d98e3e2c5fae926ecbdaec0ca7c01d8ca97bb6ea14e88722654154994deb725a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "de6df5111ecd4a7c70065174278bd6948cb1e699e2d575cbe27fc7bb8507c658",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2019-01-23T21:01:27Z",
"title_canon_sha256": "f4aa9d1f5e5b62353cad2f940ede6196a342dd271c4c4dd1769cd6b827beb036"
},
"schema_version": "1.0",
"source": {
"id": "1901.08129",
"kind": "arxiv",
"version": 2
}
}