Paper Citation Record · LEDGER

A Survey on Inference Optimization Techniques for Mixture of Experts Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2412.14219.

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

pith.paper-citation-record.v1
2412.14219 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:32.448368Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:14:57.408873Z

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 cad36c35-3160-41bb-8775-127ade344a8c · inbound

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models cites this paper.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:32.448368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40b3f56d-e59a-4592-a9b2-cb357d70bb9d · inbound

Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning cites this paper.

Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:02.481239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bc7d5a6-7732-4bbb-8062-79122b652db5 · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-05T16:20:59.357958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f47d478-6a7e-47f2-ac81-c96d1a6ac6a8 · 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? A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T21:51:05.392303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e59b19-0dac-4a67-b59a-07493690a00c · inbound

EvoESAP: Non-Uniform Expert Pruning for Sparse MoE cites this paper.

EvoESAP: Non-Uniform Expert Pruning for Sparse MoE A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:35:55.537658Z

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 92e6bf66-b973-4c95-a353-024bfdd4950d · inbound

Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey cites this paper.

Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:25:58.553707Z

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 abaf544c-2bfd-4e3a-ba8c-ba2a145de1a2 · inbound

GEM: Graph-Enhanced Mixture-of-Experts with ReAct Agents for Dialogue State Tracking cites this paper.

GEM: Graph-Enhanced Mixture-of-Experts with ReAct Agents for Dialogue State Tracking A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:26:06.281507Z

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 c25c1e7d-5234-41d2-8bdd-00651eb5c059 · inbound

Fast MoE Inference via Predictive Prefetching and Expert Replication cites this paper.

Fast MoE Inference via Predictive Prefetching and Expert Replication A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:27:06.960946Z

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 626f439a-51d7-48d7-9930-d0c856a573a6 · inbound

CoX-MoE: Coalesced Expert Execution for High-Throughput MoE Inference with AMX-Enabled CPU-GPU Co-Execution cites this paper.

CoX-MoE: Coalesced Expert Execution for High-Throughput MoE Inference with AMX-Enabled CPU-GPU Co-Execution A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:08:15.414393Z

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 c389cbba-d360-4036-8a3b-84c8ab9d75bd · 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 A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:14:57.410397Z

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.