Pith Number
pith:4V3KPVAL
pith:2023:4V3KPVAL43JWG7ET4JLN6BLY2C
not attested
not anchored
not stored
refs pending
DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
arxiv:2301.10574 v2 · 2023-01-25 · cs.MA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4V3KPVAL43JWG7ET4JLN6BLY2C}
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 | 2026-07-05T06:13:38.103038Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e576a7d40be6d3637c93e256df0578d0bdd143de3910c8478a79d9f87a9945c3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4V3KPVAL43JWG7ET4JLN6BLY2C \
| 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: e576a7d40be6d3637c93e256df0578d0bdd143de3910c8478a79d9f87a9945c3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "517a0ee12cfffff31f6e840e80af0aa6221cd82703b27e42188bfbe8134305a7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.MA",
"submitted_at": "2023-01-25T13:27:05Z",
"title_canon_sha256": "98afdae7b9c40779802b7b412c0c0ac2278cb19a800fea9ebbcc50da20aed8d1"
},
"schema_version": "1.0",
"source": {
"id": "2301.10574",
"kind": "arxiv",
"version": 2
}
}