Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based Batching
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.09716.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:51:06.358411Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T12:41:22.772160Z
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 cba6dd9a-1334-4b62-8995-5bc4f8427629 · inbound
MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? cites this paper.
MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based Batching
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:51:06.358411Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc2fe7a7-5b5b-427d-976b-750733ede2fe · inbound
LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers cites this paper.
LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based Batching
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:41:22.774272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e52ad1b4-c608-4412-9ef9-45558de14dae · inbound
On Harnessing Idle Compute at the Edge for Foundation Model Training cites this paper.
On Harnessing Idle Compute at the Edge for Foundation Model Training MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based Batching
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T22:31:19.190253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.