Overflow Prevention Enhances Long-Context Recurrent LLMs | Paper Citation Record

Observation 0839cd60-b2d5-40ea-ba45-77d27716ab1e · outbound

This paper cites Mechanistic evaluation of transformers and state space models.

Overflow Prevention Enhances Long-Context Recurrent LLMs Mechanistic evaluation of transformers and state space models

Reference 1

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Observation 299bcbfb-f401-40b0-af92-e1abe210d17b · outbound

This paper cites Zoology: Measuring and Improving Recall in Efficient Language Models.

Overflow Prevention Enhances Long-Context Recurrent LLMs Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 2

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Observation 4bb70cee-dead-41e2-bf03-c8d361983fe3 · outbound

This paper cites Simple linear attention language models balance the recall-throughput tradeoff.

Overflow Prevention Enhances Long-Context Recurrent LLMs Simple linear attention language models balance the recall-throughput tradeoff

Reference 3

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Observation 0430f030-7865-46a3-9a03-85e85277f11b · outbound

This paper cites Mambaextend: A training-free approach to improve long context extension of mamba.

Overflow Prevention Enhances Long-Context Recurrent LLMs Mambaextend: A training-free approach to improve long context extension of mamba

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.400766Z

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Observation c19fbd28-b18b-4691-8406-8fa8d29ab020 · outbound

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

Overflow Prevention Enhances Long-Context Recurrent LLMs Neural Machine Translation by Jointly Learning to Align and Translate

Reference 5

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Observation 4377b058-48a2-4a4a-afcf-5d6961666fa7 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

Overflow Prevention Enhances Long-Context Recurrent LLMs LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 6

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Observation a5baaf6f-ae86-4b14-b915-03e9f0196fca · outbound

This paper cites LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.

Overflow Prevention Enhances Long-Context Recurrent LLMs LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Reference 7

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Observation b49a4d34-c010-4aa6-8010-7e9cd41932e2 · outbound

This paper cites xLSTM: Extended Long Short-Term Memory.

Overflow Prevention Enhances Long-Context Recurrent LLMs xLSTM: Extended Long Short-Term Memory

Reference 8

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Observation d6e4eacb-09b0-496a-8e11-f097ab19932f · outbound

This paper cites xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference.

Overflow Prevention Enhances Long-Context Recurrent LLMs xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T22:12:59.672917Z

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Observation 510f76d6-c812-4789-9079-5f839bb82343 · outbound

This paper cites Graph mamba: Towards learning on graphs with state space models.

Overflow Prevention Enhances Long-Context Recurrent LLMs Graph mamba: Towards learning on graphs with state space models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.383707Z

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Observation f13658b8-5ef2-4715-a90d-44e7ce5040ff · outbound

This paper cites DeciMamba: Exploring the Length Extrapolation Potential of Mamba.

Overflow Prevention Enhances Long-Context Recurrent LLMs DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 11

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Observation a925740a-e3a8-4249-9275-39f8b164caa4 · outbound

This paper cites RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.

Overflow Prevention Enhances Long-Context Recurrent LLMs RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.581384Z

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Observation 42045944-50c0-49b9-8143-123d8a807cf5 · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

Overflow Prevention Enhances Long-Context Recurrent LLMs LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 13

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Observation 881262d1-bd88-4dff-ade7-61bc6f8968c3 · outbound

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

Overflow Prevention Enhances Long-Context Recurrent LLMs Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 14

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Observation 0ea116d7-d3d1-4387-9a0a-78e9ff8ada20 · outbound

This paper cites Griffin: Mixing gated linear recurrences with local attention for efficient language models.

Overflow Prevention Enhances Long-Context Recurrent LLMs Griffin: Mixing gated linear recurrences with local attention for efficient language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.366558Z

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Observation 6e606860-5a8e-47d4-8058-ddd8ec7e988d · outbound

This paper cites Hymba: A Hybrid-head Architecture for Small Language Models.

Overflow Prevention Enhances Long-Context Recurrent LLMs Hymba: A Hybrid-head Architecture for Small Language Models

Reference 16

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Observation ce9883a9-7a7d-4620-8427-3f8284b692ae · outbound

This paper cites Vision- RWKV : Efficient and scalable visual perception with RWKV -like architectures.

Overflow Prevention Enhances Long-Context Recurrent LLMs Vision- RWKV : Efficient and scalable visual perception with RWKV -like architectures

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.348686Z

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Observation 80bbf0d6-e2da-4dd6-bd91-b16bab1ff352 · outbound

This paper cites Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models.

Overflow Prevention Enhances Long-Context Recurrent LLMs Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.615329Z

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Observation b351cdcb-7b58-47ed-9fe8-494dc50a4d06 · outbound

This paper cites SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval.

Overflow Prevention Enhances Long-Context Recurrent LLMs SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval

Reference 19

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Observation 449eee57-050c-4e4b-b90d-96059b3a6543 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Overflow Prevention Enhances Long-Context Recurrent LLMs Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 20

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Observation 182f5b51-3219-45e4-bfce-2c7c847df317 · outbound

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

Overflow Prevention Enhances Long-Context Recurrent LLMs Efficiently Modeling Long Sequences with Structured State Spaces

Reference 21

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Observation 49132fa4-12c5-430f-a3ef-16bec7bb9494 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

Overflow Prevention Enhances Long-Context Recurrent LLMs Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 22

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Observation 3763739d-26ce-4c6e-ad50-a6257f39e03b · outbound

This paper cites REALM: Retrieval-Augmented Language Model Pre-Training.

Overflow Prevention Enhances Long-Context Recurrent LLMs REALM: Retrieval-Augmented Language Model Pre-Training

Reference 23

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Observation 8c1e4821-50b5-49b4-9548-d19919123c3f · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

Overflow Prevention Enhances Long-Context Recurrent LLMs MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 24

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Observation ffd4e0da-cec9-4412-b236-f115483feebf · outbound

This paper cites Decision mamba: Reinforcement learning via hybrid selective sequence modeling.

Overflow Prevention Enhances Long-Context Recurrent LLMs Decision mamba: Reinforcement learning via hybrid selective sequence modeling

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.321441Z

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Observation 50a936a4-3ad9-4a8e-882f-196feba9d329 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

Overflow Prevention Enhances Long-Context Recurrent LLMs Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 26

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Observation 32d62886-2f3b-4408-978b-04702d88eb31 · outbound

This paper cites How can we know when language models know? on the calibration of language models for question answering.

Overflow Prevention Enhances Long-Context Recurrent LLMs How can we know when language models know? on the calibration of language models for question answering

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.664675Z

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Observation 6f87bfa6-3970-453a-a13b-cd526de9275b · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Overflow Prevention Enhances Long-Context Recurrent LLMs Dense Passage Retrieval for Open-Domain Question Answering

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.669718Z

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Observation a9e16972-cffe-4aa4-b133-070f4a25239f · outbound

This paper cites The impact of positional encoding on length generalization in transformers.

Overflow Prevention Enhances Long-Context Recurrent LLMs The impact of positional encoding on length generalization in transformers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.675029Z

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Observation f3afb10a-87c2-4492-b0e5-dffe6f301edd · outbound

This paper cites an unresolved cited work.

Overflow Prevention Enhances Long-Context Recurrent LLMs Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:13:00.281901Z

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Observation 9ec3d2bb-a164-47b0-84b6-42cc42036f05 · outbound

This paper cites Fast inference from transformers via speculative decoding.

Overflow Prevention Enhances Long-Context Recurrent LLMs Fast inference from transformers via speculative decoding

Reference 31

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Observation 84c50146-89a6-4254-a105-37b8c9250067 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

Overflow Prevention Enhances Long-Context Recurrent LLMs u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.691554Z

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Observation fb37c494-bfb6-41de-baab-91b2ccb8d165 · outbound

This paper cites Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach.

Overflow Prevention Enhances Long-Context Recurrent LLMs Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

Reference 33

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Observation 2887e506-eb6a-4fb8-8a32-daf36d390d8e · outbound

This paper cites How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval.

Overflow Prevention Enhances Long-Context Recurrent LLMs How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.703439Z

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Observation 79d1744f-60f6-4cd3-a592-e0ef00c04ed8 · outbound

This paper cites Lost in the middle: How language models use long contexts.

Overflow Prevention Enhances Long-Context Recurrent LLMs Lost in the middle: How language models use long contexts

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.241035Z

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Observation c30582fe-b4a1-428f-b9f0-f85452f807e0 · outbound

This paper cites VMamba: Visual State Space Model.

Overflow Prevention Enhances Long-Context Recurrent LLMs VMamba: Visual State Space Model

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.714073Z

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Observation d7b8cd42-20bd-4c66-b037-9876bd7b165a · outbound

This paper cites Focus Your Attention (with Adaptive IIR Filters).

Overflow Prevention Enhances Long-Context Recurrent LLMs Focus Your Attention (with Adaptive IIR Filters)

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.720528Z

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Observation 6c4892c3-29cf-47c2-a24f-f1cee9a2a9f1 · outbound

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Overflow Prevention Enhances Long-Context Recurrent LLMs Decision mamba: A multi-grained state space model with self-evolution regularization for offline rl

Reference 38

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Observation c69a663b-8271-4260-9d85-f259857943ed · outbound

This paper cites Uncertainty estimation in autoregressive structured prediction.

Overflow Prevention Enhances Long-Context Recurrent LLMs Uncertainty estimation in autoregressive structured prediction

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.212609Z

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Observation 25db02cb-621f-41b4-ac4b-3868f7828e7b · outbound

This paper cites Pointer Sentinel Mixture Models.

Overflow Prevention Enhances Long-Context Recurrent LLMs Pointer Sentinel Mixture Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.736403Z

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Observation bcf3eacd-f84a-48e2-a2da-4b2dd547ed0e · outbound

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Overflow Prevention Enhances Long-Context Recurrent LLMs Exploring the capability of mamba in speech applications

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.195669Z

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Observation 2700c30d-4aed-491a-b41a-302523373e40 · outbound

This paper cites Landmark Attention: Random-Access Infinite Context Length for Transformers.

Overflow Prevention Enhances Long-Context Recurrent LLMs Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.747002Z

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Observation 215a8d3b-99bc-4f36-a256-828bd76566e3 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Overflow Prevention Enhances Long-Context Recurrent LLMs WebGPT: Browser-assisted question-answering with human feedback

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.752185Z

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Observation bc012940-b9ea-4361-aeb8-67e81ff403a7 · outbound

This paper cites Revisiting associative recall in modern recurrent models.

Overflow Prevention Enhances Long-Context Recurrent LLMs Revisiting associative recall in modern recurrent models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.178065Z

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Observation b8181110-ec9c-45e9-93a1-d1b30dc4dfe5 · outbound

This paper cites In-context Learning and Induction Heads.

Overflow Prevention Enhances Long-Context Recurrent LLMs In-context Learning and Induction Heads

Reference 45

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Observation 6006f1e1-4b2b-43e4-82f9-dcc8d0ad8aff · outbound

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Overflow Prevention Enhances Long-Context Recurrent LLMs Resurrecting Recurrent Neural Networks for Long Sequences

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.767596Z

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Observation 6416ef27-f4c2-497e-aa3d-1bb2432d77dd · outbound

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Overflow Prevention Enhances Long-Context Recurrent LLMs RWKV: Reinventing RNNs for the Transformer Era

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.772906Z

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Observation 6d309fdc-8af8-4738-b243-784335ffa6b6 · outbound

This paper cites Eagle and finch: RWKV with matrix-valued states and dynamic recurrence.

Overflow Prevention Enhances Long-Context Recurrent LLMs Eagle and finch: RWKV with matrix-valued states and dynamic recurrence

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.777736Z

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Observation 44be2798-a1f5-4b1b-8fd4-0cdbfa50a484 · outbound

This paper cites Mechanistic design and scaling of hybrid architectures.

Overflow Prevention Enhances Long-Context Recurrent LLMs Mechanistic design and scaling of hybrid architectures

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.148466Z

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Observation 860c4099-159e-454e-b869-39cc05f56cfd · outbound

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

Overflow Prevention Enhances Long-Context Recurrent LLMs Train short, test long: Attention with linear biases enables input length extrapolation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.130953Z

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Observation 4e911ab0-c26a-4a45-b36a-4cc7f586817e · outbound

This paper cites Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

Overflow Prevention Enhances Long-Context Recurrent LLMs Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.793431Z

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Observation 7842a8f4-3636-4956-99e9-e157b6e0d9e1 · outbound

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

Overflow Prevention Enhances Long-Context Recurrent LLMs HGRN2: Gated Linear RNNs with State Expansion

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.798549Z

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Observation 67422e54-4e1d-436c-9662-7108f593773f · outbound

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Overflow Prevention Enhances Long-Context Recurrent LLMs Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.804302Z

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Observation 37c8d3cb-b785-41b1-9418-1e664863964c · outbound

This paper cites Know what you don't know: Unanswerable questions for squad, 2018.

Overflow Prevention Enhances Long-Context Recurrent LLMs Know what you don't know: Unanswerable questions for squad, 2018

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.101332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 38ed34b6-f46b-4a6b-afda-7c1dc8ab06af · outbound

This paper cites Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling.

Overflow Prevention Enhances Long-Context Recurrent LLMs Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.815331Z

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Observation 41015505-ee9b-4f17-8b72-c12f710dd5a6 · outbound

This paper cites A study of branch prediction strategies.

Overflow Prevention Enhances Long-Context Recurrent LLMs A study of branch prediction strategies

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.084217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation da91294c-a82f-4f65-ba97-5f4eaf756049 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Overflow Prevention Enhances Long-Context Recurrent LLMs Roformer: Enhanced transformer with rotary position embedding

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.827097Z

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Observation 57353519-5423-4925-b935-c0010f195994 · outbound

This paper cites Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

Overflow Prevention Enhances Long-Context Recurrent LLMs Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.833037Z

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Observation 580fc529-7685-48bc-800f-524c5fa2c8b5 · outbound

This paper cites The falcon 3 family of open models, December 2024.

Overflow Prevention Enhances Long-Context Recurrent LLMs The falcon 3 family of open models, December 2024

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.052450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 613c8566-c94f-4c2d-a684-b228bccd8610 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Overflow Prevention Enhances Long-Context Recurrent LLMs Gemma: Open Models Based on Gemini Research and Technology

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation addbb256-ed53-4c87-8d7b-92dc86554052 · outbound

This paper cites Jamba-1.5: Hybrid Transformer-Mamba Models at Scale.

Overflow Prevention Enhances Long-Context Recurrent LLMs Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.848466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b218ec04-a458-490f-87ab-b013833a6c48 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

Overflow Prevention Enhances Long-Context Recurrent LLMs BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.853959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84abae5f-b81a-4ec0-ae4c-336ecc00fcab · outbound

This paper cites Attention Is All You Need.

Overflow Prevention Enhances Long-Context Recurrent LLMs Attention Is All You Need

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.859395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d15eccbc-6ae3-46c7-9d78-89c5c9206bd8 · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

Overflow Prevention Enhances Long-Context Recurrent LLMs An Empirical Study of Mamba-based Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.864401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c2e74e8-34f5-4793-aedd-e6fe54a970fe · outbound

This paper cites Mambabyte: Token-free selective state space model.

Overflow Prevention Enhances Long-Context Recurrent LLMs Mambabyte: Token-free selective state space model

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.033825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 121b702b-bdb1-49fd-b28e-92b8bbcdc7f2 · outbound

This paper cites Unlocking efficiency in large language model inference: A comprehensive survey of speculative decoding.

Overflow Prevention Enhances Long-Context Recurrent LLMs Unlocking efficiency in large language model inference: A comprehensive survey of speculative decoding

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:13:00.015448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a198b541-807f-4073-baa9-925cc26c7a05 · outbound

This paper cites Retrieval meets Long Context Large Language Models.

Overflow Prevention Enhances Long-Context Recurrent LLMs Retrieval meets Long Context Large Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.880191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 405011f3-6c05-4d92-9fa2-30ea7f7a40a9 · outbound

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

Overflow Prevention Enhances Long-Context Recurrent LLMs Gated Delta Networks: Improving Mamba2 with Delta Rule

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.885874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86eb18fd-360c-42d9-9557-0754a52e247c · outbound

This paper cites Longmamba: Enhancing mamba's long-context capabilities via training-free receptive field enlargement.

Overflow Prevention Enhances Long-Context Recurrent LLMs Longmamba: Enhancing mamba's long-context capabilities via training-free receptive field enlargement

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:12:59.997031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0bfe843f-0ae5-44a5-ba0c-144c7ce52a93 · outbound

This paper cites Useful confidence measures: Beyond the max score.

Overflow Prevention Enhances Long-Context Recurrent LLMs Useful confidence measures: Beyond the max score

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:12:59.978790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 736774dc-445e-49dd-b7af-a0680b598b84 · outbound

This paper cites $\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens.

Overflow Prevention Enhances Long-Context Recurrent LLMs $\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.904457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48f3ac94-d8f0-4e05-b061-028589427d13 · outbound

This paper cites LLM$\times$MapReduce: Simplified Long-Sequence Processing using Large Language Models.

Overflow Prevention Enhances Long-Context Recurrent LLMs LLM$\times$MapReduce: Simplified Long-Sequence Processing using Large Language Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.909939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 089b4a14-c8b6-49d2-9b12-125b17f78c72 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Overflow Prevention Enhances Long-Context Recurrent LLMs Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.915776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea9d758-9b54-491d-82d8-b94c74b1c1be · outbound

This paper cites Falcon Mamba: The First Competitive Attention-free 7B Language Model.

Overflow Prevention Enhances Long-Context Recurrent LLMs Falcon Mamba: The First Competitive Attention-free 7B Language Model

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.924215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f40453bd-2316-45d6-a23a-4037b3920b6f · outbound

This paper cites write newline.

Overflow Prevention Enhances Long-Context Recurrent LLMs write newline

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.929907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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