Paper Citation Record · LEDGER

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones

As of 23 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2607.17419.

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

pith.paper-citation-record.v1
2607.17419 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:06:56.342744Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:24:22.150540Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T14:24:22.492108Z

Reference resolution

67 of 67 outbound references displayed

verified exact1
verified fuzzy0
unresolved66
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f243787-640d-4949-b53d-bbe6544ae9f7 · outbound

This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , pages =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , pages =

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:48.618561Z

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Observation 8561567c-1148-4b58-8b74-7905142eab7b · outbound

This paper cites Transformers are RNNs: fast autoregressive transformers with linear attention , year =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Transformers are RNNs: fast autoregressive transformers with linear attention , year =

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:48.683349Z

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Observation 3bf73d91-3635-400a-acfe-bd3472daf7de · outbound

This paper cites Advances in neural information processing systems , volume=.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Advances in neural information processing systems , volume=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:48.778220Z

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Observation 86d98c18-52eb-4932-92da-eaadab7a7c71 · outbound

This paper cites Repeat After Me: Transformers are Better than State Space Models at Copying.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Repeat After Me: Transformers are Better than State Space Models at Copying

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:48.827702Z

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Observation df674fbe-a514-4f02-98a8-2e2d0c8aaf60 · outbound

This paper cites arXiv preprint arXiv:2502.13685 , year=.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones arXiv preprint arXiv:2502.13685 , year=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:48.911567Z

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Observation a105e73d-5409-48ef-93d3-0e172810b052 · outbound

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

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Retentive Network: A Successor to Transformer for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:49.038541Z

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Observation 0d7376ba-0539-4024-aafb-acac5f8f53a9 · outbound

This paper cites International Conference on Learning Representations , year=.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones International Conference on Learning Representations , year=

Reference 7

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Observation 5683e727-bf51-4783-9163-e745329bb6e0 · outbound

This paper cites Linear Transformers Are Secretly Fast Weight Programmers , booktitle =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Linear Transformers Are Secretly Fast Weight Programmers , booktitle =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:49.273536Z

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Observation 22e4d873-59a4-4713-bf8c-0c708b73d4d1 · outbound

This paper cites International Conference on Learning Representations , year=.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones International Conference on Learning Representations , year=

Reference 9

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Observation 1d819147-8faf-4ead-a132-95fcee381911 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , articleno =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:49.592063Z

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Observation 99656b9e-84f9-414c-9f7c-39a503c42eea · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , articleno =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:49.749443Z

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Observation 93df1d03-2f50-4297-9a87-224210c23e8e · outbound

This paper cites Parallelizing Linear Transformers with the Delta Rule over Sequence Length , url =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Parallelizing Linear Transformers with the Delta Rule over Sequence Length , url =

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:49.929389Z

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Observation 7afa7047-622a-4878-a55c-03fc4dc33eef · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones The Thirteenth International Conference on Learning Representations , year=

Reference 13

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Observation 90fd81d2-a94f-4806-9a67-b59af8170f79 · outbound

This paper cites SIAM Journal on Scientific and Statistical Computing , volume =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones SIAM Journal on Scientific and Statistical Computing , volume =

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:50.343651Z

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Observation d2bea531-8d76-4a98-ae55-5a9ec3acb5f6 · outbound

This paper cites American Journal of Mathematics , volume =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones American Journal of Mathematics , volume =

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:50.535931Z

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Observation a2f044aa-57d8-4571-b729-bed956f45b6f · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Unresolved cited work

Reference 16

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Observation f3bb7302-eb9c-45fe-87d7-2970b825c95f · outbound

This paper cites Analysis on Symmetric Cones , series =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Analysis on Symmetric Cones , series =

Reference 17

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Observation efdc987c-f1ce-4742-a6bf-f0a7bc158e3c · outbound

This paper cites and Majumdar, Satya N.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones and Majumdar, Satya N

Reference 18

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Observation 5b014494-c39b-4291-8b39-aa4126742201 · outbound

This paper cites Israel Journal of Mathematics , volume =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Israel Journal of Mathematics , volume =

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:51.285276Z

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Observation 993372cf-07e4-4088-86b5-d31b9b73ed02 · outbound

This paper cites Hopfield Networks Is All You Need , booktitle =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Hopfield Networks Is All You Need , booktitle =

Reference 20

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Observation 839db26a-4311-4cdc-92ca-ca2501ed38bb · outbound

This paper cites , title =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones , title =

Reference 21

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Observation 7cae7320-66c8-46f0-95da-fd8b646a451a · outbound

This paper cites On a Model of Associative Memory with Huge Storage Capacity , journal =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones On a Model of Associative Memory with Huge Storage Capacity , journal =

Reference 22

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Observation f54ea753-a79b-4721-90c9-ab9c0e0a2d88 · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones First Conference on Language Modeling (

Reference 23

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Observation 579e1025-61d7-40cf-a056-0032bbf7d3a9 · outbound

This paper cites Findings of the Association for Computational Linguistics:.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Findings of the Association for Computational Linguistics:

Reference 24

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Observation f2d1598d-99be-4603-b1e7-77f6745e6fe9 · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones and Kong, Lingpeng , title =

Reference 25

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Observation 2237979d-7cff-42c2-8038-6902b1201aad · outbound

This paper cites The Tenth International Conference on Learning Representations (.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones The Tenth International Conference on Learning Representations (

Reference 26

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Observation df390231-abcb-4d22-ac83-8e152c14974b · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Transformer Circuits Thread , year =

Reference 27

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Observation 866056da-88a2-4898-9c64-fcb3b4d6f22e · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Unresolved cited work

Reference 28

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Observation 40b13eaf-b4db-41fd-812f-aabf1e054584 · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones , title =

Reference 29

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Observation 60f6c8f3-3d7d-4c49-acab-34fae7611585 · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones , title =

Reference 30

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Observation 742fb5cf-0969-4d8d-afe5-f2fc0d02ccaf · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones , title =

Reference 31

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Observation b57aca37-303e-47ba-bb31-2263a2a427e8 · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones , title =

Reference 32

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Observation db4ea769-0503-4da2-8433-aaed46616ad8 · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2023 , eprint=

Reference 33

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Observation 29ea9a28-8101-4065-a007-7b9516d5cee2 · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2025 , eprint=

Reference 34

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Observation a5e45b83-f51d-477f-a082-c1a1c9799930 · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 35

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2024 , eprint =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2024 , eprint =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones arXiv preprint arXiv:2505.23666 , year=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2025 , eprint=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones arXiv preprint arXiv:2510.01450 , year=

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Observation dcd6c85e-7039-4e3f-8195-9aad8580147f · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Annals of Physics , volume =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Algorithmica , volume =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Journal of Complexity , volume =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2024 , url =

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Observation 89b98638-f75a-4fdd-818e-817e75c60638 · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Proceedings of the 39th International Conference on Machine Learning (

Reference 45

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2025 , eprint=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2025 , eprint=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2026 , eprint=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Differential Transformer

Reference 49

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Copy Suppression: Comprehensively Understanding an Attention Head

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Selective Attention Improves Transformer

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones More Expressive Attention with Negative Weights

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Efficient Streaming Language Models with Attention Sinks

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones First Conference on Language Modeling , year=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2023 , howpublished=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones TinyLlama: An Open-Source Small Language Model

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2016 , eprint =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 1993 , issn =

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Observation 407319d9-a453-4a3f-98c1-e8eae492fda1 · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Physical Review Letters , volume =

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Observation e9666520-d856-4334-9e4a-f9b4c294938b · outbound

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2026 , eprint =

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Unavailable: canonical work link unavailable.

Observation 170521ef-5649-4364-bc8c-08f7b7eb98ff · outbound

This paper cites and Lindenstrauss, Joram , title =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones and Lindenstrauss, Joram , title =

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:55.840416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 178fb62d-6981-47eb-957a-2835c080c40f · outbound

This paper cites Journal of Computer and System Sciences , volume =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Journal of Computer and System Sciences , volume =

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:55.988053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a29d6b50-d049-4c11-8816-9be5bd4e87e9 · outbound

This paper cites Combinatorics, Probability and Computing , volume =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Combinatorics, Probability and Computing , volume =

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:56.062522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02582b04-9665-4a71-99b4-626511c535ac · outbound

This paper cites and Elad, Michael , title =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones and Elad, Michael , title =

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:56.121665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf6b149d-75c0-4cd4-be5d-8a77ebcc2222 · outbound

This paper cites 2025 , eprint=.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2025 , eprint=

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:56.232421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9978a0a-6b71-4930-b568-2b7e9acb5510 · outbound

This paper cites 2023 , eprint=.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2023 , eprint=

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:56.342744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 54b02d68-075d-4fdd-889d-1095ebacb8c7 · inbound

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention cites this paper.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T14:24:22.501399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.