Pith Number

pith:QLDTSKSH

pith:2026:QLDTSKSHI5P42FVJENT6STKLKP

not attested not anchored not stored refs resolved

SpaceMoE: Towards Orbital General Intelligence with Distributed Mixture-of-Experts Inference

Kaibin Huang, Min Sheng, Qian Chen, Xianhao Chen

Mixture-of-experts models can be distributed across satellite networks to run large language models despite strict onboard limits.

arxiv:2605.16849 v1 · 2026-05-16 · cs.NI

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\usepackage{pith}
\pithnumber{QLDTSKSHI5P42FVJENT6STKLKP}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ 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.

Claims

C1strongest claim

By harnessing the architectural advantages of MoE, this article provides a comprehensive overview of SpaceMoE, a new paradigm for distributed MoE inference in satellite networks.

C2weakest assumption

The assumption that satellite-specific factors such as dynamic topology, battery degradation, and thermal limits can be incorporated into expert placement, selection, and routing solutions without introducing prohibitive overhead or accuracy loss (stated in the abstract when introducing the three design problems).

C3one line summary

SpaceMoE is presented as a new paradigm for distributed MoE inference in satellite networks, with satellite-specific constraints reshaping expert placement, selection, and hidden-state routing.

References

15 extracted · 15 resolved · 3 Pith anchors

[1] 6G wireless networks: Vision, requirements, architecture, and key technologies, 2019

[2] Federated learning in satellite constellations, 2024

[3] Towards intelligent SAGIN: Leveraging big AI models and SDN for end-to-end automation, 2025

[4] Mobile edge intelligence for large language models: A contemporary survey, 2025

[5] Aerospace integrated networks innovation for empowering 6G: A survey and future challenges, 2023

Receipt and verification

First computed	2026-05-20T00:03:26.052397Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

82c7392a47475fcd16a92367e94d4b53c3daac7b2cb7bc08d9643c9c8a1627e0

Aliases

arxiv: 2605.16849 · arxiv_version: 2605.16849v1 · doi: 10.48550/arxiv.2605.16849 · pith_short_12: QLDTSKSHI5P4 · pith_short_16: QLDTSKSHI5P42FVJ · pith_short_8: QLDTSKSH

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/QLDTSKSHI5P42FVJENT6STKLKP \
  | 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: 82c7392a47475fcd16a92367e94d4b53c3daac7b2cb7bc08d9643c9c8a1627e0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4be73e05d4fb58d2f11e57be24af20a40a03cba6a1e802587db878c68dc9915e",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.NI",
    "submitted_at": "2026-05-16T07:15:47Z",
    "title_canon_sha256": "0c649d59a0b466094b4131bdc627a023fc3db45e6941133387fcf9fc6729fdcf"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.16849",
    "kind": "arxiv",
    "version": 1
  }
}