Paper Citation Record · LEDGER

A Review of Sparse Expert Models in Deep Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2209.01667.

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

pith.paper-citation-record.v1
2209.01667 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:19:20.933334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:27:44.891031Z

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 412772af-49fd-4e38-813c-6eef8003d0c7 · inbound

Toy Models of Superposition cites this paper.

Toy Models of Superposition A Review of Sparse Expert Models in Deep Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:44:43.527186Z

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.

Observation cfd35418-3585-4bb2-9fc1-385be9269781 · inbound

ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth cites this paper.

ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth A Review of Sparse Expert Models in Deep Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:12:47.158450Z

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.

Observation 2753fb62-ed43-4c9e-aef8-5244b97c4a18 · inbound

Mixtral of Experts cites this paper.

Mixtral of Experts A Review of Sparse Expert Models in Deep Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:13:53.783980Z

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.

Observation 0966d0a9-e78f-40b9-9156-fba11bb8aafa · inbound

Position: AI Scaling: From Up to Down and Out cites this paper.

Position: AI Scaling: From Up to Down and Out A Review of Sparse Expert Models in Deep Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T18:19:20.933334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11e84925-235f-4796-9d8d-0207ad581f70 · inbound

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging cites this paper.

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging A Review of Sparse Expert Models in Deep Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T14:27:57.438208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b684e82b-4a9c-4bc9-afad-96d4871aec55 · inbound

(GG) MoE vs. MLP on Tabular Data cites this paper.

(GG) MoE vs. MLP on Tabular Data A Review of Sparse Expert Models in Deep Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T04:26:41.665208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4847de52-59c6-4dc9-aa59-2d41afcbefc8 · inbound

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data A Review of Sparse Expert Models in Deep Learning

Reference 148

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:35:02.304664Z

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.

Observation 91f0d248-9aef-40d8-9c19-0510544ff2f5 · inbound

RAP: Runtime Adaptive Pruning for LLM Inference cites this paper.

RAP: Runtime Adaptive Pruning for LLM Inference A Review of Sparse Expert Models in Deep Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:21:35.549452Z

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.

Observation c4a517d0-399d-418b-81c2-606ef490a7b0 · inbound

RetroMotion: Retrocausal Motion Forecasting Models are Instructable cites this paper.

RetroMotion: Retrocausal Motion Forecasting Models are Instructable A Review of Sparse Expert Models in Deep Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:47:18.061773Z

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.

Observation bcdfe397-d5fa-4263-ba00-8530d7bed3f7 · inbound

Mixture of LoRA Experts with Multi-Modal and Multi-Granularity LLM Generative Error Correction for Accented Speech Recognition cites this paper.

Mixture of LoRA Experts with Multi-Modal and Multi-Granularity LLM Generative Error Correction for Accented Speech Recognition A Review of Sparse Expert Models in Deep Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:16.494580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3b01d2f-e6ea-4c7e-a2b9-25110fbedf6e · inbound

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

Fast MoE Inference via Predictive Prefetching and Expert Replication A Review of Sparse Expert Models in Deep Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:27:06.996924Z

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.

Observation 1c8343b7-81fb-46ad-97e9-dee61aa7b0ab · inbound

ArchSIBench: Benchmarking the Architectural Spatial Intelligence of Vision-Language Models cites this paper.

ArchSIBench: Benchmarking the Architectural Spatial Intelligence of Vision-Language Models A Review of Sparse Expert Models in Deep Learning

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:59:36.526723Z

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.

Observation 853883d4-73a3-490c-bf79-dee95f806f9f · inbound

Safety-Oriented Routing Analysis of Mixtral MoE Under Benign and Harmful Prompts cites this paper.

Safety-Oriented Routing Analysis of Mixtral MoE Under Benign and Harmful Prompts A Review of Sparse Expert Models in Deep Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:24:49.922964Z

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.

Observation 633bee3b-8504-426f-b7e5-026009c523e4 · inbound

Vision-Assisted Foundation Model for Solving Multi-Task Vehicle Routing Problems cites this paper.

Vision-Assisted Foundation Model for Solving Multi-Task Vehicle Routing Problems A Review of Sparse Expert Models in Deep Learning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:07:36.623619Z

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.

Observation ca9cf9a4-b8fc-45d3-8129-57c96c1d1b17 · inbound

Entropy-Aware Domain-Routed Mixture-of-Experts Speech-LLM Framework: A Case Study of Multi-Domain Child-Adult ASR cites this paper.

Entropy-Aware Domain-Routed Mixture-of-Experts Speech-LLM Framework: A Case Study of Multi-Domain Child-Adult ASR A Review of Sparse Expert Models in Deep Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:27:44.892697Z

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.

Observation ba270090-370a-4cb6-9b5d-8aec0d983220 · inbound

EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation cites this paper.

EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation A Review of Sparse Expert Models in Deep Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T13:48:36.708969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d4ffdbe-8efb-4b92-871e-ce13caae012b · inbound

Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study cites this paper.

Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study A Review of Sparse Expert Models in Deep Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T05:25:15.269411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.