Paper Citation Record · LEDGER

From Sparse to Soft Mixtures of Experts

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2308.00951.

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

pith.paper-citation-record.v1
2308.00951 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 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 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:27:01.462063Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:39:56.509576Z

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 89f4c747-4b63-4fa8-8b5c-dd63fc5ed48f · inbound

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

(GG) MoE vs. MLP on Tabular Data From Sparse to Soft Mixtures of Experts

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T04:26:41.688700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f65a9190-f25b-4d3a-9d2f-01f9e0ac3562 · inbound

Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM cites this paper.

Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM From Sparse to Soft Mixtures of Experts

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T14:50:58.853117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f0bb31-750d-4e81-9fc5-3c3826d06023 · inbound

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach cites this paper.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach From Sparse to Soft Mixtures of Experts

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T04:27:01.462063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13152973-2e14-40b2-a8ae-aed3fe2f2708 · inbound

Tight Clusters Make Specialized Experts cites this paper.

Tight Clusters Make Specialized Experts From Sparse to Soft Mixtures of Experts

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:55:19.531795Z

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 c1a987f1-b60b-4593-831b-0e420031a924 · inbound

Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing cites this paper.

Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing From Sparse to Soft Mixtures of Experts

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:35.205550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8015542-df26-4d4a-a1ad-cf5adccf0d39 · inbound

Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts cites this paper.

Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts From Sparse to Soft Mixtures of Experts

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:56:26.259692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b1d85a2-228a-4a2d-ab42-36fab4ff35b4 · inbound

NaSh: Guardrails for an LLM-Powered Natural Language Shell cites this paper.

NaSh: Guardrails for an LLM-Powered Natural Language Shell From Sparse to Soft Mixtures of Experts

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:35.120771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb3f2271-e40c-4456-a191-fc9c05a58007 · inbound

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations cites this paper.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations From Sparse to Soft Mixtures of Experts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:59:17.450359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e39d32b-2240-4c27-8163-23d429404113 · inbound

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models cites this paper.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models From Sparse to Soft Mixtures of Experts

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:51.252763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9b30a42-7534-45c3-a6b9-c85f4cd04e63 · inbound

HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap cites this paper.

HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap From Sparse to Soft Mixtures of Experts

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T21:04:51.415891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c0d25c-bfd3-4f25-8c3d-a220e5435a37 · inbound

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection cites this paper.

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection From Sparse to Soft Mixtures of Experts

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T13:44:08.081983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7926735-5601-427d-a8ee-b908ce7165a1 · inbound

Path-Constrained Mixture-of-Experts cites this paper.

Path-Constrained Mixture-of-Experts From Sparse to Soft Mixtures of Experts

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:19:54.289329Z

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 f33d753c-3f83-4a11-8319-589c3d0cb773 · inbound

B-MoE: A Body-Part-Aware Mixture-of-Experts "All Parts Matter" Approach to Micro-Action Recognition cites this paper.

B-MoE: A Body-Part-Aware Mixture-of-Experts "All Parts Matter" Approach to Micro-Action Recognition From Sparse to Soft Mixtures of Experts

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:29:35.643808Z

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 a3f0049e-ef7b-4848-b11c-6483dbd50786 · inbound

Design and Behavior of Sparse Mixture-of-Experts Layers in CNN-based Semantic Segmentation cites this paper.

Design and Behavior of Sparse Mixture-of-Experts Layers in CNN-based Semantic Segmentation From Sparse to Soft Mixtures of Experts

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:26.987468Z

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 ae3d0395-5e80-45cb-867b-e52643afdeaa · inbound

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations From Sparse to Soft Mixtures of Experts

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:21:49.347934Z

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 b9bc0e76-6ccb-4ee0-b25f-d30dad3295d0 · inbound

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations From Sparse to Soft Mixtures of Experts

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:49.837183Z

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 ac11bf97-213c-4289-bd5f-48f8723c4984 · inbound

AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs cites this paper.

AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs From Sparse to Soft Mixtures of Experts

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:31:18.126388Z

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 d2a6515c-cc2c-4876-9777-54f8a74f7df1 · inbound

AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs cites this paper.

AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs From Sparse to Soft Mixtures of Experts

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:21:30.651879Z

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 88aaa5fe-7a34-437e-a879-38ce25bfe2b4 · inbound

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning cites this paper.

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning From Sparse to Soft Mixtures of Experts

Reference 150

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:01:11.251068Z

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 890ef04f-fe37-4cec-9700-5df28c300bec · inbound

When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models cites this paper.

When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models From Sparse to Soft Mixtures of Experts

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:50:51.077679Z

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 d5b8f625-0d7f-45f8-b819-3d1d10cad90d · inbound

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis cites this paper.

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis From Sparse to Soft Mixtures of Experts

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:35:57.923923Z

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 0871bf51-f1ca-4f8d-a620-595a327690f2 · inbound

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis cites this paper.

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis From Sparse to Soft Mixtures of Experts

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:44:47.386893Z

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 b525316b-a790-4ef5-bd84-8a84b6b54be0 · inbound

Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey cites this paper.

Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey From Sparse to Soft Mixtures of Experts

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.331743Z

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 6d5eab58-d593-441f-8cd8-d9fb51189395 · inbound

GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models cites this paper.

GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models From Sparse to Soft Mixtures of Experts

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:39:56.510834Z

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 6fff8aa0-57d2-4e22-a3e6-b7d48ddd7051 · inbound

FaceMoE: Mixture of Experts for Low-Resolution Face Recognition cites this paper.

FaceMoE: Mixture of Experts for Low-Resolution Face Recognition From Sparse to Soft Mixtures of Experts

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:35:42.199447Z

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 251602e5-9cf8-4393-b4af-d9439acc1f38 · inbound

Mixture of Cognitive Experts in Large Vision-Language Models cites this paper.

Mixture of Cognitive Experts in Large Vision-Language Models From Sparse to Soft Mixtures of Experts

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-14T09:13:07.507164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 163732c0-7845-4fe9-8db5-0f2350bf1679 · inbound

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text From Sparse to Soft Mixtures of Experts

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T13:37:00.571260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.