Paper Citation Record · LEDGER

Improving Routing in Sparse Mixture of Experts with Graph of Tokens

As of 21 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 3 inbound Pith citation observations for arXiv:2505.00792.

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

pith.paper-citation-record.v1
2505.00792 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:41:49.471089Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:50:21.977570Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:06:14.781833Z

Reference resolution

51 of 51 outbound references displayed

verified exact1
verified fuzzy11
unresolved38
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23d172a2-a757-4c5d-951d-be49201300e8 · outbound

This paper cites Efficient Large Scale Language Modeling with Mixtures of Experts.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.257916Z

Source-reported events for the cited work

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Observation 4ec484d0-40e4-4490-9309-99010407acee · outbound

This paper cites L., Darrell, T., Malik, J., and Efros, A.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens L., Darrell, T., Malik, J., and Efros, A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:50.080485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation edfdad44-7cd8-4657-b019-ed497e1656ab · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens BEiT: BERT Pre-Training of Image Transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.267497Z

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Observation dc96d33c-48fc-4d01-993b-51d7ef7dc488 · outbound

This paper cites K., Aggarwal, K., Som, S., Piao, S., and Wei, F.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens K., Aggarwal, K., Som, S., Piao, S., and Wei, F

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.272533Z

Source-reported events for the cited work

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Observation bf2f5b67-05f2-4084-bb11-55b6d07bd398 · outbound

This paper cites Conditional Computation in Neural Networks for faster models.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Conditional Computation in Neural Networks for faster models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.276815Z

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Observation 1c20dbd1-8982-499f-ab47-dc4f5af57601 · outbound

This paper cites and Svensén, M.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens and Svensén, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:50.057706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 513cda42-5693-4cda-aa77-f04ea65c7034 · outbound

This paper cites Language Models are Few-Shot Learners.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Language Models are Few-Shot Learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.286518Z

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Observation 81f4cbb9-bb2a-4e83-a54a-e6a156ac5a4a · outbound

This paper cites Efficient Intent Detection with Dual Sentence Encoders.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Efficient Intent Detection with Dual Sentence Encoders

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.290923Z

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Observation 1d7d7e27-ba42-4690-bc98-9cf1bff41510 · outbound

This paper cites K., Liu, S., and Wang, Z.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens K., Liu, S., and Wang, Z

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:50.044343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9fbbd6cc-d7db-4005-b80e-8469937dbcc3 · outbound

This paper cites On the representation collapse of sparse mixture of experts.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens On the representation collapse of sparse mixture of experts

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:50.030597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ef516f5-345d-48ec-bc22-71510977fad6 · outbound

This paper cites Approximating two-layer feedforward networks for efficient transformers.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Approximating two-layer feedforward networks for efficient transformers

Reference 11

Resolution: verified exact; doi, observed 2026-08-16T04:41:49.535519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1564732f-ff9a-4194-b3ef-d3667dfa79cd · outbound

This paper cites Stablemoe: Stable routing strategy for mixture of experts.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Stablemoe: Stable routing strategy for mixture of experts

Reference 12

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Source-reported events for the cited work

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Observation fbc00eb2-95f9-4cd3-9850-7c03039d5698 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.311639Z

Source-reported events for the cited work

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Observation 1e6176cf-9ede-4272-a5e1-f83a86dc3849 · outbound

This paper cites G., Khiem, L., Pham, Q., Nguyen, T., Doan, T.-N., Nguyen, B., Liu, C., Ramasamy, S., Li, X., and Hoi, S.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens G., Khiem, L., Pham, Q., Nguyen, T., Doan, T.-N., Nguyen, B., Liu, C., Ramasamy, S., Li, X., and Hoi, S

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.315769Z

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Observation c3de1a7b-b25a-4c50-bdc4-3617550f88af · outbound

This paper cites M., Tong, S., Lepikhin, D., Xu, Y., Krikun, M., Zhou, Y., Yu, A.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens M., Tong, S., Lepikhin, D., Xu, Y., Krikun, M., Zhou, Y., Yu, A

Reference 15

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Observation 16ca6e7b-0172-4d75-b825-44897b7bfbcd · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.323771Z

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Observation 42e4d662-7bc6-4cd4-b679-c85c0865159f · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.328106Z

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Observation 73a0f427-1f63-4f15-9e7e-e25108356697 · outbound

This paper cites J., Prasad, M., Ramabhadran, B., and Zhu, Y.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens J., Prasad, M., Ramabhadran, B., and Zhu, Y

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:49.991461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 957cf370-fb1a-4110-ae3c-91cb635096b3 · outbound

This paper cites an unresolved cited work.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation 1dba21a0-4bae-4d44-9cd0-6404ab2e0119 · outbound

This paper cites The elements of statistical learning: data mining, inference, and prediction, 2009.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens The elements of statistical learning: data mining, inference, and prediction, 2009

Reference 20

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Source-reported events for the cited work

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Observation 98b30599-6ab8-49fc-ab05-16de505eb8fc · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.344601Z

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Observation 5f9e1791-0bc9-4922-a123-ebbe533a1144 · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.348797Z

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Observation a047196a-3ebe-4383-87c4-3235dafc592d · outbound

This paper cites Natural adversarial examples.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Natural adversarial examples

Reference 23

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Source-reported events for the cited work

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Observation c926046c-2596-4e17-9527-110298cb8ce0 · outbound

This paper cites A., Jordan, M.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens A., Jordan, M

Reference 24

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Source-reported events for the cited work

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Observation 0f491505-d430-46f3-babb-060f223958f5 · outbound

This paper cites an unresolved cited work.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Unresolved cited work

Reference 25

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Source-reported events for the cited work

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Observation 426087ba-cedf-4afc-8029-89f5cc844366 · outbound

This paper cites Scaling Laws for Neural Language Models.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Scaling Laws for Neural Language Models

Reference 26

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Source-reported events for the cited work

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Observation 4a77115f-3c83-475b-818c-3c219107f5dc · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.368162Z

Source-reported events for the cited work

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Observation 6f14c2d6-2c07-44cb-afaf-74cd402ebbc6 · outbound

This paper cites Base layers: Simplifying training of large, sparse models.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Base layers: Simplifying training of large, sparse models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:49.920036Z

Source-reported events for the cited work

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Observation c174c9ad-56b1-47f3-87d5-adda57024036 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 29

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Observation c8b3506c-5a14-4f7b-91b1-176519a4802c · outbound

This paper cites Sparsity-constrained optimal transport.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Sparsity-constrained optimal transport

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:49.898528Z

Source-reported events for the cited work

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Observation c1bfdb5b-04ff-48bc-b22c-434db0a51333 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Swin transformer: Hierarchical vision transformer using shifted windows

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:49.884648Z

Source-reported events for the cited work

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Observation e1e34477-c18a-485c-9fa5-9ce15a9f582a · outbound

This paper cites Pointer Sentinel Mixture Models.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Pointer Sentinel Mixture Models

Reference 32

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Observation 8f6847ba-bca2-4b42-86d5-5839ccfc19f2 · outbound

This paper cites TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.390654Z

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Observation a886e4e1-41ab-462b-b3a2-0b137b38cd83 · outbound

This paper cites and Dirk, W.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens and Dirk, W

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:49.872044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45268bf7-d89e-4381-8509-e04344eb0a69 · outbound

This paper cites LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models

Reference 35

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Observation f513e85c-e0ab-48ba-89c5-a0d1606cb661 · outbound

This paper cites T., Ramasamy, S., Li, X., Hoi, S., and Ho, N.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens T., Ramasamy, S., Li, X., Hoi, S., and Ho, N

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:49.859218Z

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Observation 1c772cb6-b7c5-4312-a532-6fb4a7d7a301 · outbound

This paper cites A., and Levy, O.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens A., and Levy, O

Reference 37

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Observation ac473c5d-26fc-4572-86b0-d1d6ebc826c3 · outbound

This paper cites Language models are unsupervised multitask learners.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Language models are unsupervised multitask learners

Reference 38

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Observation 3889dfe5-278a-4791-be5a-6ec13acf2478 · outbound

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Improving Routing in Sparse Mixture of Experts with Graph of Tokens Unresolved cited work

Reference 39

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Source-reported events for the cited work

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Observation 11915f05-2819-44e8-b1e9-bd07e47430ae · outbound

This paper cites Scaling vision with sparse mixture of experts.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Scaling vision with sparse mixture of experts

Reference 40

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Source-reported events for the cited work

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Observation 710b93d8-5638-4cf1-b985-d283d656fea2 · outbound

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Improving Routing in Sparse Mixture of Experts with Graph of Tokens Hash layers for large sparse models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:49.821877Z

Source-reported events for the cited work

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Observation 7c768ff8-7bc5-4a52-b381-687c19e78335 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.430656Z

Source-reported events for the cited work

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Observation 68130f9e-97e9-4416-b0a4-57e8cbf423c5 · outbound

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Improving Routing in Sparse Mixture of Experts with Graph of Tokens D., Ng, A., and Potts, C

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.435169Z

Source-reported events for the cited work

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Observation 1904b808-0b12-40dc-9745-fd0543cd9fa8 · outbound

This paper cites MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.439539Z

Source-reported events for the cited work

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Observation 637516eb-f620-47d3-8e10-c2fb903c6228 · outbound

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Improving Routing in Sparse Mixture of Experts with Graph of Tokens W., and Gholami, A

Reference 45

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Observation 52583df4-7607-4081-a8c2-755b67dc95c4 · outbound

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Improving Routing in Sparse Mixture of Experts with Graph of Tokens Open and efficient foundation language models

Reference 46

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Observation ab945936-77cb-49d1-9189-410bafbe265d · outbound

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

Improving Routing in Sparse Mixture of Experts with Graph of Tokens ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 47

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Observation 454c4dcf-a6fd-41cf-94e8-4d904121c53f · outbound

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Improving Routing in Sparse Mixture of Experts with Graph of Tokens write newline

Reference 48

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Observation f39ae6b2-0c51-4699-8da3-cd486cf3c9f4 · outbound

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Improving Routing in Sparse Mixture of Experts with Graph of Tokens @esa (Ref

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:49.462470Z

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Observation dab9066e-411f-475e-85ac-3a84faef658d · outbound

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Improving Routing in Sparse Mixture of Experts with Graph of Tokens Unresolved cited work

Reference 50

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Observation 2cf6e69d-da46-4b9d-9ca4-048135bd3a12 · outbound

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Improving Routing in Sparse Mixture of Experts with Graph of Tokens Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:41:49.763846Z

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Pith citing papers

Observation fab87040-c301-4cc4-86bc-988da245064b · inbound

Region-Graph Optimal Transport Routing for Mixture-of-Experts Whole-Slide Image Classification cites this paper.

Region-Graph Optimal Transport Routing for Mixture-of-Experts Whole-Slide Image Classification Improving Routing in Sparse Mixture of Experts with Graph of Tokens

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:49.824512Z

Source-reported events for the cited work

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Observation 25f7e56a-d0e9-436f-953d-d05851d0457b · inbound

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation cites this paper.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation Improving Routing in Sparse Mixture of Experts with Graph of Tokens

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.784737Z

Source-reported events for the cited work

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Observation 1c31456a-2839-4b42-93af-c031c34fedca · inbound

Hierarchical Copula-Gumbel-Top-K Routing: Two-Sided Dependence Control for Frozen Mixture-of-Experts at Fixed Per-Token Routing Laws cites this paper.

Hierarchical Copula-Gumbel-Top-K Routing: Two-Sided Dependence Control for Frozen Mixture-of-Experts at Fixed Per-Token Routing Laws Improving Routing in Sparse Mixture of Experts with Graph of Tokens

Reference 10

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Source-reported events for the cited work

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