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Paper Citation Record · LEDGER

A Closer Look into Mixture-of-Experts in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.18219.

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

pith.paper-citation-record.v1
2406.18219 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:21:00.819871Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:37.881836Z

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 86a159af-e51a-4f7d-8607-56031be5fcbe · inbound

Scaling Laws for Upcycling Mixture-of-Experts Language Models cites this paper.

Scaling Laws for Upcycling Mixture-of-Experts Language Models A Closer Look into Mixture-of-Experts in Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T10:21:00.819871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:21:00.819871Z digest=sha256:fcd026c4b16c45f047f76a52ace956533b2b3e1686d9ec7e5251c3de34cd7dae

Observation ec443fce-a8f8-4549-9e04-c940d73cd137 · inbound

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction cites this paper.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction A Closer Look into Mixture-of-Experts in Large Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:25.948999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:25.948999Z digest=sha256:d1bb0dc090738e1a1b1f8261762f2265b7ecbc8cc9d116567d05a4906973fa74

Observation 7c5d21b5-ee39-46db-9910-25539fd7d7f2 · inbound

SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities cites this paper.

SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities A Closer Look into Mixture-of-Experts in Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T06:07:18.709996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:07:18.709996Z digest=sha256:2e97b69dbb84dd844ff126a710afd2253424c5e78c8b493d8ae189f7483fa136

Observation e6474934-de1e-434c-a960-ef13542efa22 · inbound

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource cites this paper.

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource A Closer Look into Mixture-of-Experts in Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:05:47.615634Z

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.

source=pdf_text observed=2026-05-22T00:05:08.916339Z digest=sha256:80f8e6ed6731c9c8b1a7d5bbdc696ff34e2dd373c57556407d3e888eb865f85c

Observation 10d452d0-ad48-457a-9e2f-2a8516dd405b · inbound

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security cites this paper.

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security A Closer Look into Mixture-of-Experts in Large Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-04T23:09:41.548125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:09:41.548125Z digest=sha256:5e77cc3d36f992276ea2f85aa7f01bfd796b66679bf56baa0b457e0151a4bfc1

Observation 339fbb8d-4a5f-44cb-8f36-47fdd420d8e1 · 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 Closer Look into Mixture-of-Experts in Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:25.153185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:25.153185Z digest=sha256:91c686ade53992f2060bfe5b95595ae54fcfee60d0be8d7479559b0a2d9b5802

Observation a68fe7f1-95c8-46f6-8f5e-d2d02eae5b13 · inbound

Beyond Routing: Characterising Expert Tuning and Representation in Vision Mixture-of-Experts cites this paper.

Beyond Routing: Characterising Expert Tuning and Representation in Vision Mixture-of-Experts A Closer Look into Mixture-of-Experts in Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:59:41.014829Z

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.

source=pdf_text observed=2026-05-21T05:56:18.498128Z digest=sha256:1327990a28850dbe2c07adbced4c32e783ef1f27e01d69f809ada275ffd0e26b

Observation febd5a1b-5426-4163-8507-3f86ff78040e · inbound

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models cites this paper.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models A Closer Look into Mixture-of-Experts in Large Language Models

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:39:37.883108Z

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.

source=arxiv_source observed=2026-06-26T14:18:11.215278Z digest=sha256:1292c522fe778cf105216db20b857368e2ea06a996ce707d8e2ff419596959f9