Paper Citation Record · LEDGER

A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2405.16646.

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

pith.paper-citation-record.v1
2405.16646 v3

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 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:45:12.119688Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3f4913c2-b64e-48ee-ac41-693744a62138 · 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 A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T12:44:35.157741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a47a333e-07c6-4081-a2f7-b1d752c1d7cd · inbound

QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration cites this paper.

QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T22:45:12.119688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95b9765b-2cbc-470f-9d58-511eb55402c1 · inbound

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation cites this paper.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:33.689143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 937ebf75-9781-49e1-bfa1-9f6ce591e767 · inbound

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs cites this paper.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.024965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6e82fef-548f-4019-a623-0cce6f6c968a · inbound

How Can Mamba Learn In Context with Outliers and Generalize Provably? cites this paper.

How Can Mamba Learn In Context with Outliers and Generalize Provably? A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T13:29:29.934738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30e99c09-9094-4aff-a492-71706c79fae8 · inbound

FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving cites this paper.

FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:18:13.323445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c9fc6343-9ead-4f99-9632-abb0e3d61ffc · inbound

Does a Global Perspective Help Prune Sparse MoEs Elegantly? cites this paper.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:50.727393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3bc4c394-8b2b-4471-9367-b887d33043e3 · inbound

dMoE: dLLMs with Learnable Block Experts cites this paper.

dMoE: dLLMs with Learnable Block Experts A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:52:45.130360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 92d8cf16-0219-4059-809a-acae09d3989c · inbound

Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression cites this paper.

Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T02:10:21.746719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 164b1113-6ea3-45ad-ac30-944bf5ec555a · inbound

Communication-Aware Placement and Pruning for Efficient Mixture-of-Experts Inference cites this paper.

Communication-Aware Placement and Pruning for Efficient Mixture-of-Experts Inference A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-11T08:35:22.347459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.