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Paper Citation Record · LEDGER

AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.10284.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2408.10284 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:05:57.621573Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T22:52:51.910857Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bfddae65-1f7c-44ad-b77a-40c15ff29960 · inbound

Task Scheduling for Efficient Inference of Large Language Models on Single Moderate GPU Systems cites this paper.

Task Scheduling for Efficient Inference of Large Language Models on Single Moderate GPU Systems AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T14:05:57.621573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:05:57.621573Z digest=sha256:c2b13aa7e81857e8a9485eef2bf6b1ee7d0c32aba8cda69fbf73ddc27bacc120

Observation 5ca58ef2-9640-4fb5-afef-1267dbefc362 · inbound

Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference cites this paper.

Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T11:05:46.992400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:05:46.992400Z digest=sha256:0b7aeefde71ef8d40251c6244c458ee83502348fe00cf5de31a8db212dd571ea

Observation 5b6af33f-b7e2-404f-a2f6-3dd14e0d92e0 · inbound

A Survey on Inference Optimization Techniques for Mixture of Experts Models cites this paper.

A Survey on Inference Optimization Techniques for Mixture of Experts Models AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference

Reference 226

Resolution
unresolved
no resolver link, observed 2026-08-11T12:44:36.212007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:44:36.212007Z digest=sha256:71c61050b8d4a512a64aaa5ef139c1b3ac4c36a00b83a90affc75ab19633382a

Observation 91c32161-0484-4cd7-88be-11e5b78f1e3f · inbound

Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement cites this paper.

Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:52:51.914141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T22:52:39.416575Z digest=sha256:d1b2f2e9f9fb157f0377cb3db4aabaffdc7f90a6d2427d2272547a84c453011d