Pith Number
pith:TVDR4Z7C
pith:2023:TVDR4Z7C4UG4FTKEGPOPM6RSQF
not attested
not anchored
not stored
refs pending
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
arxiv:2302.03429 v1 · 2023-02-07 · cs.AI · cs.LG · cs.MA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TVDR4Z7C4UG4FTKEGPOPM6RSQF}
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
✓
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 | 2026-07-05T05:39:37.046099Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9d471e67e2e50dc2cd4433dcf67a32817823eeb38174abb95790c9b6e8ebaeea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TVDR4Z7C4UG4FTKEGPOPM6RSQF \
| 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: 9d471e67e2e50dc2cd4433dcf67a32817823eeb38174abb95790c9b6e8ebaeea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9bbcaf676e9395ece0da422ddbf5deacbfe6b071e086803590defd476992a529",
"cross_cats_sorted": [
"cs.LG",
"cs.MA"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2023-02-07T12:30:52Z",
"title_canon_sha256": "b4920756fb79fd90ff0b550f8049b0706bee3c459a01f88023d6a837dd4c99ff"
},
"schema_version": "1.0",
"source": {
"id": "2302.03429",
"kind": "arxiv",
"version": 1
}
}