MARCH: Scaling Recurrent Memory with Content-Routed State Anchors | Paper Citation Record

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

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors International Conference on Learning Representations , year =

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors , title =

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This paper cites Gated Delta Networks: Improving.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Gated Delta Networks: Improving

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors The Thirty-Fourth

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This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , YEAR =.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , YEAR =

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors The Thirty-Fourth

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This paper cites Think You Have Solved Question Answering? Try.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Think You Have Solved Question Answering? Try

Reference 8

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This paper cites Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages=.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 9

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors 2019 , doi=

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This paper cites Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=

Reference 11

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors First Conference on Language Modeling , year=

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Know What You Don

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , YEAR =

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 2019 Conference of the North

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Language

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This paper cites and Uszkoreit, Jakob and Le, Quoc and Petrov, Slav.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors and Uszkoreit, Jakob and Le, Quoc and Petrov, Slav

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This paper cites Proceedings of the 2019 Conference of the North.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 2019 Conference of the North

Reference 18

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This paper cites Dynamic Linear Attention.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Dynamic Linear Attention

Reference 19

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This paper cites A framework for few-shot language model evaluation , VERSION =.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors A framework for few-shot language model evaluation , VERSION =

Reference 20

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This paper cites Simple Linear Attention Language Models Balance the Recall-Throughput Tradeoff , booktitle =.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Simple Linear Attention Language Models Balance the Recall-Throughput Tradeoff , booktitle =

Reference 21

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This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 22

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This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 23

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This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 24

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This paper cites Transactions of the Association for Computational Linguistics , volume=.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Transactions of the Association for Computational Linguistics , volume=

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Advances in Neural Information Processing Systems , volume=

Reference 26

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This paper cites Titans: Learning to Memorize at Test Time.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Titans: Learning to Memorize at Test Time

Reference 27

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors and Kaiser, Lukasz and Polosukhin, Illia , EDITOR =

Reference 28

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention , VOLUME =

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 41st International Conference on Machine Learning , series =

Reference 30

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Mamba: Linear-Time Sequence Modeling with Selective State Spaces

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors 2021 , eprint=

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of 12th International Conference on Learning Representations (ICLR) , year=

Reference 33

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors arXiv preprint arXiv:2507.16577 , year=

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This paper cites Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors 2025 , url=

Reference 36

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Forty-third International Conference on Machine Learning , year=

Reference 37

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors 2025 , url=

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling

Reference 39

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors and Ermon, Stefano and Rudra, Atri and R

Reference 40

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors 2025 , eprint=

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors 2025 , eprint=

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors and Weller, Adrian , PUBLISHER =

Reference 43

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 44

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors 2024 , BOOKTITLE =

Reference 45

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Linear Attention Sequence Parallelism , VOLUME =

Reference 46

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Generating Long Sequences with Sparse Transformers

Reference 47

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Longformer: The Long-Document Transformer

Reference 48

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , YEAR =

Reference 49

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Efficient Content-Based Sparse Attention with Routing Transformers , VOLUME =

Reference 50

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Advances in Neural Information Processing Systems , volume=

Reference 51

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors 2024 , url=

Reference 52

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This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 53

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Reference 54

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Reference 55

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Observation 391e500e-9ef3-4bf4-90eb-6b95a3c52bdf · outbound

This paper cites Retentive network: A successor to transformer for large language models , VOLUME =.

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Reference 56

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Observation f410d33e-0bb2-4c50-9910-f19e3bdd9a46 · outbound

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Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:22:03.154009Z

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Observation a7f7e8a1-1999-445e-b7f5-c5ab34391637 · outbound

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Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:22:03.139202Z

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Observation bfa44824-93f4-4874-932a-e51ca7b6fd91 · outbound

This paper cites International Conference on Machine Learning , pages=.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors International Conference on Machine Learning , pages=

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T00:22:02.551789Z

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Observation e83b2c49-4f53-42ad-b9ee-bde46928b4be · outbound

This paper cites Longhorn: State Space Models are Amortized Online Learners.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Longhorn: State Space Models are Amortized Online Learners

Reference 60

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Observation 7f36300a-ccbb-45e3-829c-f673564ac810 · outbound

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Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:22:03.121448Z

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Observation 99977d3a-3a20-48d3-a9d6-9a3f287515b5 · outbound

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Reference 62

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Observation f2bcfa61-ac37-4241-a140-e84120bc0eda · outbound

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Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:22:03.102889Z

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Observation 2f8b738b-6245-48e8-9051-aa8d39cde067 · outbound

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors The Thirteenth International Conference on Learning Representations , YEAR =

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:22:03.090931Z

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Observation ebe7fad4-013e-4430-acb0-712638c78f25 · outbound

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Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:22:03.078815Z

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Observation 42927ffd-5ff2-4d8d-910a-8ec2d8f7a2ed · outbound

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Transformers are Multi-State RNNs , VOLUME =

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:22:03.065644Z

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Observation 44428c15-2aab-42a9-a308-b6899b850238 · outbound

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Reference 67

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Observation f193c440-47ed-4d8d-bd9a-34efe7406982 · outbound

This paper cites 2024 , eprint=.

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Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T00:22:02.587067Z

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Observation 9ee68aa5-9506-4490-a272-8436c8682d64 · outbound

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Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T00:22:02.590932Z

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Unavailable: canonical work link unavailable.

Observation b9fb66c5-1395-4f65-9c33-ce51a60c8852 · outbound

This paper cites Raven: High-Recall Sequence Modeling with Sparse Memory Routing.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Raven: High-Recall Sequence Modeling with Sparse Memory Routing

Reference 70

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

Observation 11a72d82-80f7-4dd4-b03b-88dc1808938e · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:22:03.028794Z

Source-reported events for the cited work

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

Observation e9caac64-2d3b-4c72-90c5-5a26437fbd58 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Advances in Neural Information Processing Systems , volume=

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:22:03.015368Z

Source-reported events for the cited work

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

Observation 3396f9c7-3cb7-4a24-9f8d-f14a2fee5372 · outbound

This paper cites Long Context Compression with Activation Beacon.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Long Context Compression with Activation Beacon

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T00:22:02.607055Z

Source-reported events for the cited work

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Observation e3058388-4d5e-46de-8ec9-35c71433d9c3 · outbound

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors arXiv preprint arXiv:2509.15763 , year=

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T00:22:02.611185Z

Source-reported events for the cited work

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Observation ad5ce456-ab49-4fae-9f49-bdf61bd643ea · outbound

This paper cites Long Context In-Context Compression by Getting to the Gist of Gisting.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Long Context In-Context Compression by Getting to the Gist of Gisting

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T00:22:02.614091Z

Source-reported events for the cited work

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Observation fd63c637-b0a3-494f-918a-aa379e21dcbd · outbound

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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors 2026 , eprint =

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:22:03.001079Z

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

Observation ac77e2ec-0b29-4f62-a3ad-36b9013b8d9e · outbound

This paper cites Unlocking state-tracking in linear.

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors Unlocking state-tracking in linear

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:22:02.989139Z

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

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Reference resolution

Outbound references

Pith citing papers