Paper Citation Record · LEDGER

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts

As of 8 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2506.09351.

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

pith.paper-citation-record.v1
2506.09351 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:59:18.904741Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:09:33.923627Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

verified exact3
verified fuzzy0
unresolved56
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37bb7594-ad75-4074-a5da-e7bed7a47b9d · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Deep Learning using Rectified Linear Units (ReLU)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:13.489818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0317fc8-f6e7-41c0-82e5-89a3a2878695 · outbound

This paper cites Khatamifard, Minsik Cho, Carlo C Del Mundo, Mohammad Rastegari, and Mehrdad Farajtabar.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Khatamifard, Minsik Cho, Carlo C Del Mundo, Mohammad Rastegari, and Mehrdad Farajtabar

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:13.638648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8947c231-69b6-4036-8705-0ef4500d6af4 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:13.756394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d27e84bd-baa8-45b5-b6f9-91ccfeb3d09f · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:13.877208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b72537c-c43e-4b78-b3df-9ada06448ac6 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:59:21.815095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3dd5ae3-1a26-47cc-acb0-30f0de724ee0 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:14.164066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6a8421c-1077-409b-9583-f88003c00e48 · outbound

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

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:14.289861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab7bcf53-64f5-4f3d-955b-7d36302d8d7d · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Training Verifiers to Solve Math Word Problems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:14.407448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bea11bf4-e279-4190-9a23-52cc0acec178 · outbound

This paper cites Smith, and Matt Gardner.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Smith, and Matt Gardner

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:14.497381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4905ae9-ab05-421f-bcd0-23469d277d8a · outbound

This paper cites SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:14.591057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bbae2ab-6eb4-4670-99c1-d2dad5a30f13 · outbound

This paper cites Dolan and Chris Brockett.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Dolan and Chris Brockett

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:14.708247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5104f6f-56c2-4918-8b24-ad045525579c · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:14.820033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67ea4802-e668-4bd2-89b9-bbcc9e3d19cf · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:14.902196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77bbb43f-5e79-4fb1-a519-e08769290fb0 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:59:21.582905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a6555135-76ab-42be-9d3a-eb989a28f791 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:15.116910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00148325-c4a5-4cce-af20-e0d1be6754cc · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:15.219941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 127eaace-2b71-4175-9da8-cc202d6a6819 · outbound

This paper cites Mixtral of Experts.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Mixtral of Experts

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:15.311729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14606bf8-8a88-42aa-8175-d6ad549c56bf · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:15.380273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cec1d0f5-1f4a-4e2a-8237-5f67467dcfed · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:59:21.351536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 373b1bed-98de-430f-b395-f4be64b731b7 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:15.504085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eab4b33-21e0-4f20-820e-b6bd5cc734f8 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:15.596728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d496967-6a9b-4cc0-a0d6-dcc132602958 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:59:21.090739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e8821c06-531e-4ec1-aa9b-97c8b76f9fed · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:15.780729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 507896b2-42e8-4640-839c-6544806c7c16 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 24

Resolution: verified exact; raw_fallback, observed 2026-08-07T04:59:19.856135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1e397bac-483b-487e-8883-22e20db0990a · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:59:20.841792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e9bb0155-7a2f-422c-8eeb-80d23a0dfbec · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:16.044795Z

Source-reported events for the cited work

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Observation 639d2781-f0e7-4677-b073-d7c61d207ed0 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:16.104181Z

Source-reported events for the cited work

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Observation ed48d32f-b813-4ac7-b731-fcf30222ab31 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:16.195901Z

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Observation 8b6e8ff8-9cb9-4f5e-ae4b-b3e7894e2b56 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:16.274506Z

Source-reported events for the cited work

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Observation ba791935-a2fe-4609-8983-43893dc6aa51 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:16.367208Z

Source-reported events for the cited work

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Observation 4cdad05e-7c6b-462e-ae20-8333b5309e94 · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:16.447110Z

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Observation 8a87c8c3-8b8e-47d3-972a-5c9f13f42391 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:16.541348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4b0e29-31ef-4716-bc19-588a553b3fe2 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:16.652218Z

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Observation 202082f7-e1c0-415b-9674-14260c160e2f · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:59:20.605616Z

Source-reported events for the cited work

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Observation 9959500b-304c-453f-aa2f-239419bc37b8 · outbound

This paper cites GLU Variants Improve Transformer.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts GLU Variants Improve Transformer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:16.799983Z

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Unavailable: canonical work link unavailable.

Observation 25385227-8afc-453e-bb22-ef1ecad93448 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 36

Resolution: verified exact; doi, observed 2026-08-07T04:59:19.324843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c4a0bc8f-37a6-482e-8dcb-7e208ec523a6 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 06a38402-679c-43c9-9178-4730d80ee0ac · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:59:20.439941Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f2dd55a-a5a3-479f-9664-2302e9a9cb30 · outbound

This paper cites Manning, Andrew Ng, and Christopher Potts.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Manning, Andrew Ng, and Christopher Potts

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:17.102585Z

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Observation 8865263a-8f4e-44a8-b067-b61b5be100ea · outbound

This paper cites PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:17.159468Z

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Unavailable: canonical work link unavailable.

Observation 179497e8-1703-414d-be4b-4956a247b389 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:17.279742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 015f93ed-a837-4aaf-9d22-679c7fa42053 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:17.372100Z

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Observation 2a2f30e5-d289-42f7-a748-48f268459595 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:17.460031Z

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Observation 3d98011d-74f5-4087-8cc7-c93b55c577b7 · outbound

This paper cites Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:17.558603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cb146da-910f-4031-9220-88a847a704dd · outbound

This paper cites Liu, and Matt Gardner.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Liu, and Matt Gardner

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:17.649112Z

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Unavailable: canonical work link unavailable.

Observation 14cd0d54-fa17-4c12-8bca-33db0bb199da · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:17.764546Z

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Observation 1f36ad3c-02cf-465a-a4f1-d1acab38fb97 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:17.859068Z

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Observation 94b988c2-4b57-4531-8303-699529022377 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 48

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Observation 0fdb92f5-4082-44ad-a6cd-7d7b05258912 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6af74b8a-00e2-4fe4-9dec-a48a499e844f · outbound

This paper cites PowerInfer-2: Fast Large Language Model Inference on a Smartphone.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts PowerInfer-2: Fast Large Language Model Inference on a Smartphone

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:18.087086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b20e2450-e9a1-44e0-97fa-7ab776a8b854 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:18.178728Z

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Unavailable: canonical work link unavailable.

Observation b2a25bf7-fac3-435e-96c7-4f03b93e6421 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts TinyLlama: An Open-Source Small Language Model

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:18.228663Z

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Observation d265852a-c670-4958-b0d4-57d518d5f8ab · outbound

This paper cites ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T04:59:18.333558Z

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Observation 289adcfe-583f-4bc6-a0c9-759b92a659da · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:59:20.155012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4dcdbeb0-2f3a-4efe-950b-aa2c16006ab6 · outbound

This paper cites an unresolved cited work.

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

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DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts Unresolved cited work

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DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts A Survey on Model Compression for Large Language Models

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DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts write newline

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Blink: Dynamic Visual Token Resolution for Enhanced Multimodal Understanding DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts

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