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pith:EF6RETMQ

pith:2026:EF6RETMQ5LFB4VWFNPXQ6TPOEU
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SpaceMoE: Realizing Distributed Mixture-of-Experts Inference over Space Networks

Huiling Yang, Kaibin Huang, Khaled B. Letaief, Min Sheng, Zhanwei Wang

A ring-subnet architecture for mixture-of-experts models in satellite constellations cuts token-generation latency by at least threefold.

arxiv:2605.00515 v2 · 2026-05-01 · cs.DC · cs.AI · cs.NI

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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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.

Claims

C1strongest claim

Experiments over a thousand-satellite constellation show that Space-XNet achieves at least a threefold latency reduction compared with conventional random and ablation-based placement strategies.

C2weakest assumption

The assumption that autoregressive inference follows a ring-like communication pattern that can be directly exploited by partitioning the constellation into ring subnets, and that the intra-layer optimization based on activation probabilities and expected latency fully captures real performance without hidden costs such as accuracy degradation or unmodeled interference.

C3one line summary

Space-XNet partitions satellite constellations into ring subnets for MoE layers and maps high-activation experts to low-latency satellites, yielding at least 3x lower inference latency than random or ablation placements in 1000-satellite simulations.

Receipt and verification
First computed 2026-05-22T01:04:03.892545Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

217d124d90eaca1e56c56bef0f4dee25331376b2e2eb478ccb6213219fb3de32

Aliases

arxiv: 2605.00515 · arxiv_version: 2605.00515v2 · doi: 10.48550/arxiv.2605.00515 · pith_short_12: EF6RETMQ5LFB · pith_short_16: EF6RETMQ5LFB4VWF · pith_short_8: EF6RETMQ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EF6RETMQ5LFB4VWFNPXQ6TPOEU \
  | 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: 217d124d90eaca1e56c56bef0f4dee25331376b2e2eb478ccb6213219fb3de32
Canonical record JSON
{
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    "abstract_canon_sha256": "c3fad34bd5d6d07988cf3576409b9be56d828a22dba24785c01de24d61b24511",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.NI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.DC",
    "submitted_at": "2026-05-01T08:40:31Z",
    "title_canon_sha256": "af9f99fd9350ecf365cc4e93c4e6ecc912e5b389057aed7e45038791725d7a96"
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  "source": {
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    "kind": "arxiv",
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