Paper Citation Record · LEDGER

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning

As of 18 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2509.10513.

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

pith.paper-citation-record.v1
2509.10513 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:36:50.447487Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T23:45:19.279268Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T23:49:15.450399Z

Reference resolution

53 of 53 outbound references displayed

verified exact1
verified fuzzy0
unresolved52
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ffae220-67e1-46b6-aa93-15c0eb37a678 · outbound

This paper cites online" 'onlinestring :=.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.235799Z

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Observation 9cc0e8cb-19c4-4700-824c-82db968ed28e · outbound

This paper cites write newline.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.240889Z

Source-reported events for the cited work

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Observation 482e8043-ed4d-486c-8cf2-07cddfe1a429 · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.245551Z

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Observation 9f8e8478-43c4-4f0e-adb3-0ac7484cb721 · outbound

This paper cites Program Synthesis with Large Language Models.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Program Synthesis with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.249812Z

Source-reported events for the cited work

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Observation 6284c5ca-2977-46f9-abac-73bed05fc6b4 · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation f5889ef3-2c20-4e26-a13a-384063181e98 · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.258173Z

Source-reported events for the cited work

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Observation 8119f35d-7010-4110-a370-461966d38b9b · outbound

This paper cites A Survey on Mixture of Experts in Large Language Models.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning A Survey on Mixture of Experts in Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.261926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a113532-3456-4b09-a956-4cd3c626a789 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Evaluating Large Language Models Trained on Code

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.265922Z

Source-reported events for the cited work

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Observation 0851fe0a-770e-4369-8098-2cbc62fbf05a · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation e1ee7e08-ba46-4b9d-a461-b5a853eb30fb · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.274041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2497cd1-e18d-490f-88cd-69cfb18dc0d9 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Training Verifiers to Solve Math Word Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.278163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10573cd3-1df9-4c01-8f79-e322d51421a3 · outbound

This paper cites Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.282520Z

Source-reported events for the cited work

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Observation 77aaa8c6-8490-4ad2-8c1c-e98ac8d8bf52 · outbound

This paper cites One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code

Reference 13

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Source-reported events for the cited work

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Observation 3a732358-014d-4bc3-9c90-1d08a09ea162 · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Observation dc128b3e-92d2-48b2-94cb-cad57c2a7c2f · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c066b49-d147-44c8-a4cd-989386b9c9e2 · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation c1ca2dd4-04d8-444d-97b0-59047ba91fb5 · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d6dc96b-e6bb-470b-90fa-1533a46f0918 · outbound

This paper cites Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.305511Z

Source-reported events for the cited work

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Observation c87327c8-afe9-4e43-b269-a70c16b80f4d · outbound

This paper cites Smith, and Luke Zettlemoyer.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Smith, and Luke Zettlemoyer

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.309812Z

Source-reported events for the cited work

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Observation 260bcfb3-d314-4c4b-a643-af7ac7f87a9e · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.313610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 087514fa-2d42-4f15-b226-27ec83944322 · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Mixtral of Experts

Reference 21

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Observation ebf4f247-fb94-4dd6-83de-21ea083c7cbc · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

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Observation c9f83832-05df-4d17-9732-bb203ff268cc · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 24

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Observation 8b1b2c54-12e9-4afe-9bb5-7c7dafdd49b2 · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

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Observation 165fa70b-b1e1-4009-9289-83ae5d3b4bc2 · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

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Observation fa09086e-5520-4c2b-be7c-227f79451882 · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 27

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Source-reported events for the cited work

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Observation 45cd535b-38aa-4896-8fbb-8b71c8ae6626 · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:36:50.907057Z

Source-reported events for the cited work

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Observation 2852ddc5-fb5e-49c0-97d3-13b0fdb70cea · outbound

This paper cites Instruction Tuning with GPT-4.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Instruction Tuning with GPT-4

Reference 29

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Observation a95d1216-da27-432c-9349-f3074f49d229 · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

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Observation 809fe16f-75c2-42b7-a9f7-b2baf10c330b · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 31

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Observation d4f9ec71-2ff4-4ae9-b6eb-66e4b6769594 · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Reference 32

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Observation 9bb6017e-f413-4026-b2ec-c9767e88ebc1 · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

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Observation f8b2e5a6-da3f-4725-9089-e75ba701cc4d · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning

Reference 34

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

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Observation d2c5fe3f-143b-4d6b-b275-a9e6d1bc1d0c · outbound

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Observation a405f648-1f55-44fc-94f4-39cbcae16290 · outbound

This paper cites Smith, Luke Zettlemoyer, and Tao Yu.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Smith, Luke Zettlemoyer, and Tao Yu

Reference 37

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

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Observation da67a0a1-d9ee-4317-b55d-42857f03321e · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 41

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

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Observation 39394248-7c1c-4238-8cd3-e2cf3e49bcee · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 44

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks

Reference 46

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Observation a12dcd96-e63a-4e1e-983d-a655e87cd725 · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

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Observation dec2604d-4126-407d-859f-dd871c803708 · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 48

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This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 50

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Observation f3d838a4-7bda-4bec-a30a-8f3511f55785 · outbound

This paper cites an unresolved cited work.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Unresolved cited work

Reference 51

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Observation af2a2846-6f1b-4689-ad35-bca8e2e2d71b · outbound

This paper cites Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts.

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts

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Observation 70494478-6be3-419b-9f4b-55f9e1fc4723 · outbound

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Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T16:36:50.447487Z

Source-reported events for the cited work

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Pith citing papers

Observation 2a06419d-e714-40d8-9619-9fbbfd3233d9 · inbound

Geometric Asymmetry in MoE Specialization: Functional Decorrelation and Representational Overlap cites this paper.

Geometric Asymmetry in MoE Specialization: Functional Decorrelation and Representational Overlap Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning

Reference 19

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