Cubit: Token Mixer with Kernel Ridge Regression | Paper Citation Record

Observation 3cd32c7b-6e29-4661-a4c7-40fa0a91565f · outbound

This paper cites Gqa: Training generalized multi-query transformer models from multi-head checkpoints.

Cubit: Token Mixer with Kernel Ridge Regression Gqa: Training generalized multi-query transformer models from multi-head checkpoints

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.342105Z

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Observation 9389c036-304b-4998-a093-9f19c148d863 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Cubit: Token Mixer with Kernel Ridge Regression Neural Machine Translation by Jointly Learning to Align and Translate

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:11.028153Z

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Observation 1d0a5a9b-a046-45f9-a2e7-4a0c9afc7939 · outbound

This paper cites Effect of dimensionality on convergence rates of kernel ridge regression estimator.Journal of Statistical Planning and Inference, 236:106228.

Cubit: Token Mixer with Kernel Ridge Regression Effect of dimensionality on convergence rates of kernel ridge regression estimator.Journal of Statistical Planning and Inference, 236:106228

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.448696Z

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Observation fd870da3-8175-4266-9482-e28584ec51f8 · outbound

This paper cites Overfitting regimes of nadaraya-watson interpolators.arXiv e-prints, pages arXiv–2502.

Cubit: Token Mixer with Kernel Ridge Regression Overfitting regimes of nadaraya-watson interpolators.arXiv e-prints, pages arXiv–2502

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.302557Z

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Observation b39b649d-6937-4392-a18f-31ef0ea34d1f · outbound

This paper cites xlstm: Extended long short-term memory.Advances in Neural Information Processing Systems, 37:107547–107603.

Cubit: Token Mixer with Kernel Ridge Regression xlstm: Extended long short-term memory.Advances in Neural Information Processing Systems, 37:107547–107603

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.329690Z

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Observation 35fc128b-f9d6-4f0b-b434-7728fcb83df0 · outbound

This paper cites Sage.

Cubit: Token Mixer with Kernel Ridge Regression Sage

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.290170Z

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Observation ed13f0a1-2252-4c77-9aeb-7d697c77442f · outbound

This paper cites Piqa: Reasoning about phys- ical commonsense in natural language.

Cubit: Token Mixer with Kernel Ridge Regression Piqa: Reasoning about phys- ical commonsense in natural language

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.231787Z

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Observation 09fb5123-df84-4029-a0c2-305573e40c05 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901.

Cubit: Token Mixer with Kernel Ridge Regression Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.388273Z

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Observation 69205e0c-4348-4a69-99b6-f361030057db · outbound

This paper cites Local linear regression estimator on the boundary correction in nonparametric regression estimation.Journal of Statistical Theory and Applications, 19(3):460– 471.

Cubit: Token Mixer with Kernel Ridge Regression Local linear regression estimator on the boundary correction in nonparametric regression estimation.Journal of Statistical Theory and Applications, 19(3):460– 471

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.357953Z

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Observation a8739443-cc13-40ee-b1b2-bd93735368c3 · outbound

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

Cubit: Token Mixer with Kernel Ridge Regression Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.922193Z

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Observation 1351c7ee-03d3-407d-a125-3d4459e44969 · outbound

This paper cites Lowess: A program for smoothing scatterplots by robust locally weighted regression.The American Statistician, 35(1):54.

Cubit: Token Mixer with Kernel Ridge Regression Lowess: A program for smoothing scatterplots by robust locally weighted regression.The American Statistician, 35(1):54

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.325677Z

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Observation c0fa2640-d71c-45c1-aa2d-4410fb91c4cf · outbound

This paper cites Locally weighted regression: an approach to regression analysis by local fitting.Journal of the American statistical association, 83(403):596–610.

Cubit: Token Mixer with Kernel Ridge Regression Locally weighted regression: an approach to regression analysis by local fitting.Journal of the American statistical association, 83(403):596–610

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.274454Z

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Observation 7964a6cd-02d0-4b67-9a4f-b712f75db11b · outbound

This paper cites Smoothing by local regression: Principles and methods.

Cubit: Token Mixer with Kernel Ridge Regression Smoothing by local regression: Principles and methods

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.413000Z

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Observation d5f68992-8558-40b8-b253-08432bdb037b · outbound

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

Cubit: Token Mixer with Kernel Ridge Regression Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:44:12.028647Z

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Observation 38d6497b-2208-4f9b-a485-673a3320c703 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Cubit: Token Mixer with Kernel Ridge Regression Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.982579Z

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Observation f86b60be-0106-43e8-94ac-982c86dad130 · outbound

This paper cites Cogview: Mastering text-to-image generation via transformers.Advances in neural information processing systems, 34:19822–19835.

Cubit: Token Mixer with Kernel Ridge Regression Cogview: Mastering text-to-image generation via transformers.Advances in neural information processing systems, 34:19822–19835

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:44:12.014619Z

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Observation e178af23-550f-457c-b14a-31ad09366cd2 · outbound

This paper cites Finding structure in time.Cognitive science, 14(2):179–211.

Cubit: Token Mixer with Kernel Ridge Regression Finding structure in time.Cognitive science, 14(2):179–211

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.417177Z

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Observation 2926d3b0-8ca5-460a-a01b-e7aa90d27672 · outbound

This paper cites Distributed representations, simple recurrent networks, and grammatical structure.Machine learning, 7(2):195–225.

Cubit: Token Mixer with Kernel Ridge Regression Distributed representations, simple recurrent networks, and grammatical structure.Machine learning, 7(2):195–225

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.206500Z

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Observation e87233df-1d01-4535-b3e1-362ffc62ebe7 · outbound

This paper cites Semiparametric estimates of the relation between weather and electricity sales.Journal of the American statistical Association, 81(394):310–320.

Cubit: Token Mixer with Kernel Ridge Regression Semiparametric estimates of the relation between weather and electricity sales.Journal of the American statistical Association, 81(394):310–320

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.452970Z

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Observation 2dd1b53e-c9f7-4988-8775-27cf105745c7 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39.

Cubit: Token Mixer with Kernel Ridge Regression Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.294611Z

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Observation 7b98e20e-8b8b-4121-81ff-af80e705d706 · outbound

This paper cites USAF school of Aviation Medicine.

Cubit: Token Mixer with Kernel Ridge Regression USAF school of Aviation Medicine

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.250249Z

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Observation aa37e564-0474-4dad-b701-172321ea2013 · outbound

This paper cites cambridge university press.

Cubit: Token Mixer with Kernel Ridge Regression cambridge university press

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.370223Z

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Observation f0619385-4431-44e4-bbfe-93cc9d11990f · outbound

This paper cites The language model evaluation harness, 07 2024.

Cubit: Token Mixer with Kernel Ridge Regression The language model evaluation harness, 07 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.315756Z

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Observation 2414bea9-e12a-46fa-b2c0-c69eaceed855 · outbound

This paper cites Transformer feed-forward layers are key-value memories.

Cubit: Token Mixer with Kernel Ridge Regression Transformer feed-forward layers are key-value memories

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.192840Z

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Observation 02054263-c05d-4ef2-8771-85d94309143f · outbound

This paper cites Long short-term memory.Supervised sequence labelling with recurrent neural networks, pages 37–45.

Cubit: Token Mixer with Kernel Ridge Regression Long short-term memory.Supervised sequence labelling with recurrent neural networks, pages 37–45

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.188156Z

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Observation 41645897-b28e-4760-a559-ffa6f1fd0814 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces.

Cubit: Token Mixer with Kernel Ridge Regression Mamba: Linear-time sequence modeling with selective state spaces

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.211702Z

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Observation 8d2ca290-e5da-4d06-a733-ac1755e99c7c · outbound

This paper cites On the parameterization and initialization of diagonal state space models.Advances in neural information processing systems, 35:35971–35983.

Cubit: Token Mixer with Kernel Ridge Regression On the parameterization and initialization of diagonal state space models.Advances in neural information processing systems, 35:35971–35983

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.259192Z

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Observation f342ff50-70c4-46e6-be4f-b4dd48012a69 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Cubit: Token Mixer with Kernel Ridge Regression Efficiently Modeling Long Sequences with Structured State Spaces

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.848414Z

Source-reported events for the cited work

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Observation 800c1e98-2b7e-48ef-a4b3-ad615d2d4fe9 · outbound

This paper cites Local kernel ridge regression for scalable, interpolating, continuous regression.

Cubit: Token Mixer with Kernel Ridge Regression Local kernel ridge regression for scalable, interpolating, continuous regression

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.366558Z

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Observation 5a987d0d-b33c-47af-a8fb-72cb5f33bd57 · outbound

This paper cites Deep residual learning for image recognition.

Cubit: Token Mixer with Kernel Ridge Regression Deep residual learning for image recognition

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.397064Z

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Observation 650680e2-de19-446e-a946-11d541c5ec71 · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558.

Cubit: Token Mixer with Kernel Ridge Regression Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.338121Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10edbc50-ab2a-49de-85aa-afc59807009d · outbound

This paper cites Consistency of local linear regression estimator for mixtures with varying concentrations.Modern Stochastics: Theory and Applications, 11(3):359–372.

Cubit: Token Mixer with Kernel Ridge Regression Consistency of local linear regression estimator for mixtures with varying concentrations.Modern Stochastics: Theory and Applications, 11(3):359–372

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.319835Z

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Observation 2e27e45d-55d5-4f1a-853b-fb1820cddbe5 · outbound

This paper cites Densely connected convolutional networks.

Cubit: Token Mixer with Kernel Ridge Regression Densely connected convolutional networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.346025Z

Source-reported events for the cited work

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Observation d0299a44-4e38-491e-b796-bbc441d551b6 · outbound

This paper cites Adaptive mixtures of local experts.Neural computation, 3(1):79–87.

Cubit: Token Mixer with Kernel Ridge Regression Adaptive mixtures of local experts.Neural computation, 3(1):79–87

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.263248Z

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Observation d13ee1ff-60d3-4f00-aad5-895d09972037 · outbound

This paper cites Mixtral of Experts.

Cubit: Token Mixer with Kernel Ridge Regression Mixtral of Experts

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:11.033658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 77a04c9a-8de3-4633-9e76-eefd5d294483 · outbound

This paper cites Improvement of boundary bias in nonparametric regression via twicing technique.

Cubit: Token Mixer with Kernel Ridge Regression Improvement of boundary bias in nonparametric regression via twicing technique

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.457171Z

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Observation 60a44c04-53cb-44dc-a391-5ee20deea6fd · outbound

This paper cites Serial order: A parallel distributed processing approach.

Cubit: Token Mixer with Kernel Ridge Regression Serial order: A parallel distributed processing approach

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.440176Z

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Observation f0f3864a-1821-44e2-8cec-c404d9f43eca · outbound

This paper cites Finetuning pretrained transformers into rnns.

Cubit: Token Mixer with Kernel Ridge Regression Finetuning pretrained transformers into rnns

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.226207Z

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Observation 63326634-8844-44d3-9a1d-47cf3ffd071a · outbound

This paper cites Multiplicative LSTM for sequence modelling.

Cubit: Token Mixer with Kernel Ridge Regression Multiplicative LSTM for sequence modelling

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.878842Z

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Observation 69fd178a-08bc-4d84-82f8-6c41baee5027 · outbound

This paper cites Race: Large-scale reading comprehension dataset from examinations.

Cubit: Token Mixer with Kernel Ridge Regression Race: Large-scale reading comprehension dataset from examinations

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.444696Z

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Observation 1b209e28-43ad-4360-8353-c78663456bbf · outbound

This paper cites Virtual width networks.

Cubit: Token Mixer with Kernel Ridge Regression Virtual width networks

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.955873Z

Source-reported events for the cited work

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Observation 88046b56-d230-4829-befd-1e069c3c2026 · outbound

This paper cites Video-LLaVA: Learning united visual representation by alignment before projection.

Cubit: Token Mixer with Kernel Ridge Regression Video-LLaVA: Learning united visual representation by alignment before projection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.241009Z

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Observation f8a73630-c9ae-413f-a5f3-1443e2188ac8 · outbound

This paper cites an unresolved cited work.

Cubit: Token Mixer with Kernel Ridge Regression Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-20T22:54:11.379149Z

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Observation 9a1859d0-1182-4540-b5c8-ed1bbb324ab2 · outbound

This paper cites DeepSeek-V3 Technical Report.

Cubit: Token Mixer with Kernel Ridge Regression DeepSeek-V3 Technical Report

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.942676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b328801-37d7-4899-87c8-845b70bb08c6 · outbound

This paper cites Optimal Rates and Saturation for Noiseless Kernel Ridge Regression.

Cubit: Token Mixer with Kernel Ridge Regression Optimal Rates and Saturation for Noiseless Kernel Ridge Regression

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.930614Z

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Observation fde5c969-e598-49db-b1ea-530b2aa845a5 · outbound

This paper cites Fineweb-edu: the finest collection of educational content.

Cubit: Token Mixer with Kernel Ridge Regression Fineweb-edu: the finest collection of educational content

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.216749Z

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Observation d705d7dd-1f16-4931-bb8a-3814b3d7a5ac · outbound

This paper cites Megalodon: Efficient llm pretraining and inference with unlimited context length.Advances in Neural Information Processing Systems, 37:71831–71854.

Cubit: Token Mixer with Kernel Ridge Regression Megalodon: Efficient llm pretraining and inference with unlimited context length.Advances in Neural Information Processing Systems, 37:71831–71854

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.353622Z

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Observation d557d13e-a8fa-48e1-aba7-b224d8bd2e18 · outbound

This paper cites the smoothing of time series.

Cubit: Token Mixer with Kernel Ridge Regression the smoothing of time series

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.362683Z

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Observation 310d9d7b-ac17-407c-998e-587e1a9acc9b · outbound

This paper cites Parallelizing spectrally regularized kernel algorithms.

Cubit: Token Mixer with Kernel Ridge Regression Parallelizing spectrally regularized kernel algorithms

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.307047Z

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Observation 8c4a84ed-1eae-46bf-aa11-788dcff512c5 · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation.

Cubit: Token Mixer with Kernel Ridge Regression The llama 4 herd: The beginning of a new era of natively multimodal ai innovation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:44:12.036697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3c0e1cce-5dc4-4edc-bcd3-ac30f1443fa2 · outbound

This paper cites Regularized least squares learning with heavy-tailed noise is minimax optimal.

Cubit: Token Mixer with Kernel Ridge Regression Regularized least squares learning with heavy-tailed noise is minimax optimal

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.894490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 616e536d-e283-46ce-a189-8016a4d51f82 · outbound

This paper cites MIT press.

Cubit: Token Mixer with Kernel Ridge Regression MIT press

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:44:12.032608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 85aa1e2c-3834-4b2d-8321-b9ab3da7dd08 · outbound

This paper cites Wf sheppard’s smoothing method: A precursor to local polynomial regression.International Statistical Review, 87(3):604–612.

Cubit: Token Mixer with Kernel Ridge Regression Wf sheppard’s smoothing method: A precursor to local polynomial regression.International Statistical Review, 87(3):604–612

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:44:12.024146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a24552d1-c512-4680-9ccd-f4c74819c880 · outbound

This paper cites On estimating regression.Theory of Probability & Its Applications, 9(1):141–142.

Cubit: Token Mixer with Kernel Ridge Regression On estimating regression.Theory of Probability & Its Applications, 9(1):141–142

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:44:12.019693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b4be7a0f-dde4-4604-8231-7098c160c48b · outbound

This paper cites Generalized linear models.Journal of the Royal Statistical Society Series A: Statistics in Society, 135(3):370–384.

Cubit: Token Mixer with Kernel Ridge Regression Generalized linear models.Journal of the Royal Statistical Society Series A: Statistics in Society, 135(3):370–384

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:44:12.008517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 195a5180-2c46-4349-ab53-468d6b51cb04 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32.

Cubit: Token Mixer with Kernel Ridge Regression Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.270552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e2ad8673-ef16-4239-85b6-e54f2f35623a · outbound

This paper cites The fineweb datasets: Decanting the web for the finest text data at scale.

Cubit: Token Mixer with Kernel Ridge Regression The fineweb datasets: Decanting the web for the finest text data at scale

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.461431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc457ba4-ca7a-41dc-a11c-836b0d4a9cf5 · outbound

This paper cites RWKV-7 "Goose" with Expressive Dynamic State Evolution.

Cubit: Token Mixer with Kernel Ridge Regression RWKV-7 "Goose" with Expressive Dynamic State Evolution

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.989589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5a5bf37-9851-417f-a212-f60baa66dd19 · outbound

This paper cites Train short, test long: Attention with linear biases enables input length extrapolation.

Cubit: Token Mixer with Kernel Ridge Regression Train short, test long: Attention with linear biases enables input length extrapolation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.409686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e93f9185-481f-4b1f-9899-1e2165c989ea · outbound

This paper cites From sparse to soft mixtures of experts.

Cubit: Token Mixer with Kernel Ridge Regression From sparse to soft mixtures of experts

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.431275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c8242dce-7d6d-41ea-ac26-ad571e9917a8 · outbound

This paper cites HGRN2: Gated Linear RNNs with State Expansion.

Cubit: Token Mixer with Kernel Ridge Regression HGRN2: Gated Linear RNNs with State Expansion

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:11.022749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ec011d2a-6ed9-4e90-98af-c8e53f0e38ff · outbound

This paper cites Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free.

Cubit: Token Mixer with Kernel Ridge Regression Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:11.014913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b7950fc4-5026-4447-862f-bced4a513992 · outbound

This paper cites Theory, Analysis, and Best Practices for Sigmoid Self-Attention.

Cubit: Token Mixer with Kernel Ridge Regression Theory, Analysis, and Best Practices for Sigmoid Self-Attention

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:39:11.009258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b6a8c579-8b2b-416b-825d-85ab548119e3 · outbound

This paper cites Decoder-hybrid-decoder architecture for efficient reasoning with long generation.

Cubit: Token Mixer with Kernel Ridge Regression Decoder-hybrid-decoder architecture for efficient reasoning with long generation

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:11.003131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 15f80da7-1427-450e-aa32-62395b065def · outbound

This paper cites Scaling vision with sparse mixture of experts.

Cubit: Token Mixer with Kernel Ridge Regression Scaling vision with sparse mixture of experts

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.266880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10d5efbc-2b0c-400b-a13b-3a61f805bda5 · outbound

This paper cites Hash layers for large sparse models.

Cubit: Token Mixer with Kernel Ridge Regression Hash layers for large sparse models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.423016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7de02987-c30b-4942-a52a-a9fa3481b70b · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106.

Cubit: Token Mixer with Kernel Ridge Regression Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.197231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 93dfce1b-899c-49ab-b6b8-3a0a9da2c894 · outbound

This paper cites Social iqa: Commonsense reasoning about social interactions.

Cubit: Token Mixer with Kernel Ridge Regression Social iqa: Commonsense reasoning about social interactions

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.278339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cec03fcc-7bed-4876-a52b-5bc46f282596 · outbound

This paper cites Learning to control fast-weight memories: An alternative to dynamic recurrent networks.Neural Computation, 4(1):131–139.

Cubit: Token Mixer with Kernel Ridge Regression Learning to control fast-weight memories: An alternative to dynamic recurrent networks.Neural Computation, 4(1):131–139

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.183479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation defbe0e4-c9bd-42e6-8add-6a53020fbcee · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Cubit: Token Mixer with Kernel Ridge Regression Fast Transformer Decoding: One Write-Head is All You Need

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.856411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 718b8f28-9fb2-4714-9ac8-63d6d0d31d70 · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer.

Cubit: Token Mixer with Kernel Ridge Regression Outrageously large neural networks: The sparsely-gated mixture-of-experts layer

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.282255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9db86f0c-b663-41c0-94b8-a06e1f43af34 · outbound

This paper cites JetMoE: Reaching Llama2 Performance with 0.1M Dollars.

Cubit: Token Mixer with Kernel Ridge Regression JetMoE: Reaching Llama2 Performance with 0.1M Dollars

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.975946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ebeb6227-9c2d-478b-b7a5-1d381f7f72dd · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Cubit: Token Mixer with Kernel Ridge Regression Simplified State Space Layers for Sequence Modeling

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.969061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d6746456-1a6b-4a34-ba52-d3cc78acd95c · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Cubit: Token Mixer with Kernel Ridge Regression Retentive Network: A Successor to Transformer for Large Language Models

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.997266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d5e3de93-eb54-40b9-9173-757be0431f15 · outbound

This paper cites Sequence to sequence learning with neural networks.Advances in neural information processing systems, 27.

Cubit: Token Mixer with Kernel Ridge Regression Sequence to sequence learning with neural networks.Advances in neural information processing systems, 27

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.383901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cb53f748-1269-425b-975c-75dcb193c036 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Cubit: Token Mixer with Kernel Ridge Regression Kimi K2: Open Agentic Intelligence

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.871268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 952ccb53-69f2-43d9-a6c4-4079a02d0cc9 · outbound

This paper cites Attention Residuals.

Cubit: Token Mixer with Kernel Ridge Regression Attention Residuals

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:39:04.582456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1cbba18b-3e12-482b-8d73-703075019f0e · outbound

This paper cites A rank-invariant method of linear and polynomial regression analysis.Indagationes mathematicae, 12(85):173.

Cubit: Token Mixer with Kernel Ridge Regression A rank-invariant method of linear and polynomial regression analysis.Indagationes mathematicae, 12(85):173

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.392418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67fe9d9d-fa6a-437d-b6e3-d15402c30ed6 · outbound

This paper cites Logistic regression: relating patient characteristics to outcomes.Jama, 316(5):533–534.

Cubit: Token Mixer with Kernel Ridge Regression Logistic regression: relating patient characteristics to outcomes.Jama, 316(5):533–534

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.201821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1a7e072c-d18a-4830-88f4-217d31dbe3b1 · outbound

This paper cites Mlp- mixer: An all-mlp architecture for vision.Advances in neural information processing systems, 34:24261–24272.

Cubit: Token Mixer with Kernel Ridge Regression Mlp- mixer: An all-mlp architecture for vision.Advances in neural information processing systems, 34:24261–24272

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.435888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b8dfbc3f-ffd8-43a6-b3fc-23fdfdd79d09 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

Cubit: Token Mixer with Kernel Ridge Regression Attention is all you need.Advances in neural information processing systems, 30

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.178539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 352d925d-2289-4644-8ee0-88a4866d2f6b · outbound

This paper cites Deepnet: Scaling transformers to 1,000 layers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(10):6761–6774.

Cubit: Token Mixer with Kernel Ridge Regression Deepnet: Scaling transformers to 1,000 layers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(10):6761–6774

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.404380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e2e83dab-d4e8-4aab-bdf6-e35a6072ba2d · outbound

This paper cites Smooth regression analysis.Sankhy¯ a: The Indian Journal of Statistics, Series A, pages 359–372.

Cubit: Token Mixer with Kernel Ridge Regression Smooth regression analysis.Sankhy¯ a: The Indian Journal of Statistics, Series A, pages 359–372

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.245460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8f8df168-f0c3-4042-bdab-f7d9e1aa6e96 · outbound

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

Cubit: Token Mixer with Kernel Ridge Regression Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.948948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32e68478-eb56-4032-8d4e-74b1f762345b · outbound

This paper cites Liu, and Matt Gardner.

Cubit: Token Mixer with Kernel Ridge Regression Liu, and Matt Gardner

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.349730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d90216d-44cd-4480-b360-b45ee303d573 · outbound

This paper cites On the Robustness of Kernel Ridge Regression Using the Cauchy Loss Function.

Cubit: Token Mixer with Kernel Ridge Regression On the Robustness of Kernel Ridge Regression Using the Cauchy Loss Function

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.901406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f634dbee-fb28-4121-b038-777a0fc80738 · outbound

This paper cites Gaussian processes for regression.Advances in neural information processing systems, 8.

Cubit: Token Mixer with Kernel Ridge Regression Gaussian processes for regression.Advances in neural information processing systems, 8

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.221717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 54e895b0-6801-4a01-87a6-df709161e991 · outbound

This paper cites Replacing softmax with ReLU in Vision Transformers.

Cubit: Token Mixer with Kernel Ridge Regression Replacing softmax with ReLU in Vision Transformers

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.962423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e43b6a37-a611-4b71-8116-cea945a3f584 · outbound

This paper cites mHC: Manifold-Constrained Hyper-Connections.

Cubit: Token Mixer with Kernel Ridge Regression mHC: Manifold-Constrained Hyper-Connections

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.937054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9080210a-ffbe-41d8-8c8a-9ff953fa547d · outbound

This paper cites Understanding and improving layer normalization.Advances in neural information processing systems, 32.

Cubit: Token Mixer with Kernel Ridge Regression Understanding and improving layer normalization.Advances in neural information processing systems, 32

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.311378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 03006b32-27e3-472b-bc61-cc3e4ef2366f · outbound

This paper cites Deltaformer: Unlock the state space of transformer.

Cubit: Token Mixer with Kernel Ridge Regression Deltaformer: Unlock the state space of transformer

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.427098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 766af756-d052-4823-b303-541d8a7cb09d · outbound

This paper cites Gated Delta Networks: Improving Mamba2 with Delta Rule.

Cubit: Token Mixer with Kernel Ridge Regression Gated Delta Networks: Improving Mamba2 with Delta Rule

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.916537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e99e3dc2-0bbc-401e-a7da-2be6e3d3c398 · outbound

This paper cites Semiparametric models for longitudinal data with application to cd4 cell numbers in hiv seroconverters.Biometrics, pages 689–699.

Cubit: Token Mixer with Kernel Ridge Regression Semiparametric models for longitudinal data with application to cd4 cell numbers in hiv seroconverters.Biometrics, pages 689–699

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.254492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ff9d1fb7-b61f-47ba-af44-83ef23c72749 · outbound

This paper cites an unresolved cited work.

Cubit: Token Mixer with Kernel Ridge Regression Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-05-20T22:54:11.298581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fdc9e446-71af-4b62-8c99-262cff4578e6 · outbound

This paper cites Root mean square layer normalization.Advances in neural information processing systems, 32.

Cubit: Token Mixer with Kernel Ridge Regression Root mean square layer normalization.Advances in neural information processing systems, 32

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.236851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 57b2f63f-ef2b-44c6-8156-6769f954d6da · outbound

This paper cites Tensor product attention is all you need.

Cubit: Token Mixer with Kernel Ridge Regression Tensor product attention is all you need

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.909381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f1753e26-6a93-4c92-ac4e-ffd41425cd67 · outbound

This paper cites Understanding the mixture-of- experts with nadaraya-watson kernel.

Cubit: Token Mixer with Kernel Ridge Regression Understanding the mixture-of- experts with nadaraya-watson kernel

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.286590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 45e32308-178d-4820-8ba3-a45d1ad62925 · outbound

This paper cites Hyper-Connections.

Cubit: Token Mixer with Kernel Ridge Regression Hyper-Connections

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.887046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96a57284-24d4-4743-9006-30ebf982b81f · outbound

This paper cites In matrix form: Z LLR,(h) =S (h)V (h),whereS (h) =e ⊤ 1 X ⊤ i WiXi −1 X ⊤ i Wi,(15) with Xi = [1 , (xj −x i)N j=1]the design matrix and Wi = diag(K (h) i1.

Cubit: Token Mixer with Kernel Ridge Regression In matrix form: Z LLR,(h) =S (h)V (h),whereS (h) =e ⊤ 1 X ⊤ i WiXi −1 X ⊤ i Wi,(15) with Xi = [1 , (xj −x i)N j=1]the design matrix and Wi = diag(K (h) i1

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T22:54:11.334272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers