Pith Number
pith:DWDDCERY
pith:2025:DWDDCERYNRLWLCCIJPYJYWFRNJ
not attested
not anchored
not stored
refs pending
HeterMoE: Efficient Training of Mixture-of-Experts Models on Heterogeneous GPUs
arxiv:2504.03871 v1 · 2025-04-04 · cs.DC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DWDDCERYNRLWLCCIJPYJYWFRNJ}
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
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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 | 2026-07-05T10:44:50.079737Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1d863112386c576588484bf09c58b16a598053d4d4dce1a757a36ca1f64b56de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DWDDCERYNRLWLCCIJPYJYWFRNJ \
| 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: 1d863112386c576588484bf09c58b16a598053d4d4dce1a757a36ca1f64b56de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e1c517fb921c983e20754f72765af064ecec621c1b609b9144cbfb6b16e63168",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2025-04-04T18:55:52Z",
"title_canon_sha256": "e8e18e3810a2fd09d8ba2290539816f63782e77d1f59f51dbef4abdb4ac66a8b"
},
"schema_version": "1.0",
"source": {
"id": "2504.03871",
"kind": "arxiv",
"version": 1
}
}