Paper Citation Record · LEDGER

EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.12247.

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

pith.paper-citation-record.v1
2410.12247 v2

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:16:55.123761Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T17:47:41.972078Z

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 863dbd24-f1b2-4d47-8830-6895e417b805 · inbound

Chameleon: Adaptive Fault Tolerance for Distributed Training via Real-time Policy Selection cites this paper.

Chameleon: Adaptive Fault Tolerance for Distributed Training via Real-time Policy Selection EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:41:50.608867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 39938ced-e2cb-4a12-b64c-37d5f53e01ee · inbound

HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing cites this paper.

HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T19:16:55.123761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 109fcd4f-6f0f-4d9f-809c-22ea72e6a632 · inbound

MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving cites this paper.

MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:50:26.988908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68f0ece7-a0a0-439d-87df-3107f92fc308 · inbound

MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving cites this paper.

MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:47:41.973781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.