Pith Number
pith:FUDGDQPH
pith:2021:FUDGDQPHQFNNZUDK2XPQGZX5QV
not attested
not anchored
not stored
refs pending
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
arxiv:2107.06857 v1 · 2021-07-14 · cs.MA · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FUDGDQPHQFNNZUDK2XPQGZX5QV}
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 | 2026-07-05T02:58:02.148867Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2d0661c1e7815adcd06ad5df0366fd854edae725e74a56196d3d9b7f9e211638
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FUDGDQPHQFNNZUDK2XPQGZX5QV \
| 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: 2d0661c1e7815adcd06ad5df0366fd854edae725e74a56196d3d9b7f9e211638
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "45e22d9a08b9a66d504abf6660c84482e1bfd9e96a30ca7125b98789ca00b1eb",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.MA",
"submitted_at": "2021-07-14T17:22:14Z",
"title_canon_sha256": "1bd9134067a1b4f9d901a3a4d50345083c7f1ed277c3da39758ed8de530fe39a"
},
"schema_version": "1.0",
"source": {
"id": "2107.06857",
"kind": "arxiv",
"version": 1
}
}