Pith Number
pith:VMENRIV7
pith:2025:VMENRIV7JKWGZUDQK4JQYNGC2Y
not attested
not anchored
not stored
refs pending
DualSparse-MoE: Coordinating Tensor/Neuron-Level Sparsity with Expert Partition and Reconstruction
arxiv:2508.18376 v1 · 2025-08-25 · cs.LG · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VMENRIV7JKWGZUDQK4JQYNGC2Y}
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.
Receipt and verification
| First computed | 2026-07-05T11:59:23.184006Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ab08d8a2bf4aac6cd07057130c34c2d62acc07351f7f04259c3e049bd9bc94e4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VMENRIV7JKWGZUDQK4JQYNGC2Y \
| 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: ab08d8a2bf4aac6cd07057130c34c2d62acc07351f7f04259c3e049bd9bc94e4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "12f92a99c7c01979f3ef81e6059a839643a42031ee6ee82665f9987b92b4fd75",
"cross_cats_sorted": [
"cs.DC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-25T18:08:32Z",
"title_canon_sha256": "6282317535488039b77d7634b4b574beb3e435d193e139d1515bbf053d7f017b"
},
"schema_version": "1.0",
"source": {
"id": "2508.18376",
"kind": "arxiv",
"version": 1
}
}