Pith Number
pith:LC42PP7X
pith:2025:LC42PP7XGST3IRSXZHK3Y3F5BO
not attested
not anchored
not stored
refs pending
The power of fine-grained experts: Granularity boosts expressivity in Mixture of Experts
arxiv:2505.06839 v1 · 2025-05-11 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LC42PP7XGST3IRSXZHK3Y3F5BO}
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 | 2026-07-05T11:01:37.683979Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
58b9a7bff734a7b44657c9d5bc6cbd0ba63375b6e0ca2a8d0d39884bbb50a3e9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LC42PP7XGST3IRSXZHK3Y3F5BO \
| 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: 58b9a7bff734a7b44657c9d5bc6cbd0ba63375b6e0ca2a8d0d39884bbb50a3e9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8cc5b12c41f8d3bfecc276bb5c80990bf83fc3dc99f88ff3d278b1c691047be9",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-11T04:35:40Z",
"title_canon_sha256": "8e9e0b9a322006eb1ea97667decbb8b8d25432febf910a32136ad03381ad303f"
},
"schema_version": "1.0",
"source": {
"id": "2505.06839",
"kind": "arxiv",
"version": 1
}
}