Paper Citation Record · LEDGER

ProMoE: Fast MoE-based LLM Serving using Proactive Caching

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.22134.

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

pith.paper-citation-record.v1
2410.22134 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:46:15.078213Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:27:44.459721Z

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 a6dc91f9-957d-438f-8e46-7b78ec8f0fbc · inbound

Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts cites this paper.

Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:15.078213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d50aedab-b725-489a-87cb-8be51474aea7 · 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? ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T21:51:06.016351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 855ece60-d6b3-4437-b6bd-63e77f029413 · inbound

Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism cites this paper.

Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:19.359511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f64535d-0e59-46db-ae31-eba51dcde300 · 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 ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:41:22.745261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7119ae19-3e12-406a-86fd-0a1c9fa275af · inbound

ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling cites this paper.

ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:45:29.252877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3dbee879-8023-4d58-a15d-3086a7dae9e4 · inbound

Temporally Extended Mixture-of-Experts Models cites this paper.

Temporally Extended Mixture-of-Experts Models ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:39:48.324290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a1bb4852-31c2-4416-b71c-805ff9f87276 · inbound

VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading cites this paper.

VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:06.399730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae460152-48ab-48cd-84bb-02d502516c10 · inbound

Achieving Cloud-Grade SLOs for Local Mixture-of-Experts Inference through CPU-GPU Hybrid Design cites this paper.

Achieving Cloud-Grade SLOs for Local Mixture-of-Experts Inference through CPU-GPU Hybrid Design ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:27:44.461341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eaa7f72a-2b64-4111-8605-cbe558a0c518 · inbound

Beyond Uniform Experts: Cost-Aware Expert Execution for Efficient Multi-Device MoE Inference cites this paper.

Beyond Uniform Experts: Cost-Aware Expert Execution for Efficient Multi-Device MoE Inference ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:14:57.462165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d6f8ac5a-8ebb-4edb-886f-778d1fef8cbb · inbound

Automated Tensor Scheduling for Hybrid CPU-GPU LLM Inference on Consumer Devices cites this paper.

Automated Tensor Scheduling for Hybrid CPU-GPU LLM Inference on Consumer Devices ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-14T13:40:50.742149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cfbefed-9f17-491f-9a37-310b09dbe662 · inbound

SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding cites this paper.

SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T04:28:24.860819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.