Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:41:49.471089Z
Paper Citation Record · LEDGER
Improving Routing in Sparse Mixture of Experts with Graph of Tokens
As of 19 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T00:50:21.977570Z
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-19T06:32:44.657259+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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3889dfe5-278a-4791-be5a-6ec13acf2478 · outbound
This paper cites an unresolved cited work.
Improving Routing in Sparse Mixture of Experts with Graph of Tokens Unresolved cited work
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 710b93d8-5638-4cf1-b985-d283d656fea2 · outbound
This paper cites Hash layers for large sparse models.
Improving Routing in Sparse Mixture of Experts with Graph of Tokens Hash layers for large sparse models
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68130f9e-97e9-4416-b0a4-57e8cbf423c5 · outbound
This paper cites D., Ng, A., and Potts, C.
Improving Routing in Sparse Mixture of Experts with Graph of Tokens D., Ng, A., and Potts, C
Reference 43
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 637516eb-f620-47d3-8e10-c2fb903c6228 · outbound
This paper cites W., and Gholami, A.
Improving Routing in Sparse Mixture of Experts with Graph of Tokens W., and Gholami, A
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52583df4-7607-4081-a8c2-755b67dc95c4 · outbound
This paper cites Open and efficient foundation language models.
Improving Routing in Sparse Mixture of Experts with Graph of Tokens Open and efficient foundation language models
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 454c4dcf-a6fd-41cf-94e8-4d904121c53f · outbound
This paper cites write newline.
Improving Routing in Sparse Mixture of Experts with Graph of Tokens write newline
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dab9066e-411f-475e-85ac-3a84faef658d · outbound
This paper cites an unresolved cited work.
Improving Routing in Sparse Mixture of Experts with Graph of Tokens Unresolved cited work
Reference 50
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cf6e69d-da46-4b9d-9ca4-048135bd3a12 · outbound
This paper cites an unresolved cited work.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
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
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
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
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