Paper Citation Record · LEDGER

Scaling Vision with Sparse Mixture of Experts

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2106.05974.

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

pith.paper-citation-record.v1
2106.05974 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:54.239188Z

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

29
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 c915cc5b-534e-4c98-9d39-6b8a973cb7ec · inbound

ST-MoE: Designing Stable and Transferable Sparse Expert Models cites this paper.

ST-MoE: Designing Stable and Transferable Sparse Expert Models Scaling Vision with Sparse Mixture of Experts

Reference 188

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:14:25.764191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f8e90cd-4b80-463e-bf46-cb21a68ee1df · inbound

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs cites this paper.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Scaling Vision with Sparse Mixture of Experts

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:54.239188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c64192ec-c6f4-4ddf-8afb-6c4c77c63b57 · inbound

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models cites this paper.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models Scaling Vision with Sparse Mixture of Experts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:33.600109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c06995b4-02c6-4d4f-8ca4-dd057eb5add5 · inbound

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cites this paper.

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities Scaling Vision with Sparse Mixture of Experts

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:52:07.868072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad811100-9941-4acf-a886-3415dbdd2f97 · inbound

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration cites this paper.

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration Scaling Vision with Sparse Mixture of Experts

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:24:12.596666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 877a10e7-cf35-419b-8f04-389115cd3f4b · 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 Scaling Vision with Sparse Mixture of Experts

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:59:41.005168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.