Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention | Paper Citation Record

Observation f44d5873-36fb-4851-ac53-d81815535586 · outbound

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

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 1

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This paper cites Longformer: The Long-Document Transformer.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Longformer: The Long-Document Transformer

Reference 2

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This paper cites Cambridge University Press, Cambridge, UK.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Cambridge University Press, Cambridge, UK

Reference 3

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This paper cites Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 4

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Observation a086e25c-49dc-4ec7-84e3-f2a54c8fd9f3 · outbound

This paper cites Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Reference 5

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This paper cites Generating long sequences with sparse transformers.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Generating long sequences with sparse transformers

Reference 6

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Observation de471ff5-3208-44a5-912a-c9844d360f8a · outbound

This paper cites Rethink- ing attention with performers.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Rethink- ing attention with performers

Reference 7

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This paper cites FlashAttention-2: Faster attention with better par- allelism and work partitioning.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention FlashAttention-2: Faster attention with better par- allelism and work partitioning

Reference 8

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Observation 3206fa08-ffe9-46f4-b7f6-ed32d453c940 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher R ´e.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Fu, Stefano Ermon, Atri Rudra, and Christopher R ´e

Reference 9

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Observation 6320d10c-b9b8-453d-a036-bfa0ff4e373a · outbound

This paper cites Continuous diffusion for categorical data.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Continuous diffusion for categorical data

Reference 10

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Observation 8cb6bc00-fafd-4550-9636-90f55a9e0a1e · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 11

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Observation e84dd191-f6f6-4054-aaa8-fe13afb797f5 · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 12

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Observation c1eccca5-6657-4336-a8f2-9a1b5d4d153b · outbound

This paper cites Seerattention: Learning in- trinsic sparse attention in your llms.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Seerattention: Learning in- trinsic sparse attention in your llms

Reference 13

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Observation 1791bdea-5808-45a6-bff5-00aeeaaf79da · outbound

This paper cites Discrete Flow Matching.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Discrete Flow Matching

Reference 14

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Observation 4c26f12a-11ea-4189-8222-cb08efd978a6 · outbound

This paper cites DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Reference 15

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Observation bed639e1-e0e6-486d-bf96-3d546977af23 · outbound

This paper cites Bayesian Flow Networks.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Bayesian Flow Networks

Reference 16

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Observation 92892330-67bc-4b92-bc27-67a773663d71 · outbound

This paper cites SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control

Reference 17

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Observation fc19f77b-9233-41f0-a13f-693e3ab22422 · outbound

This paper cites Ultrallada: Scaling the context length to 128k for diffusion large language models.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Ultrallada: Scaling the context length to 128k for diffusion large language models

Reference 18

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Observation f6a338e4-53ec-4200-8b14-745ec0fb30ce · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 19

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Observation c3aa4ede-cabe-4774-a929-b05c5352795e · outbound

This paper cites VBench: Com- prehensive benchmark suite for video generative models.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention VBench: Com- prehensive benchmark suite for video generative models

Reference 20

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This paper cites Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, and Lili Qiu.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, and Lili Qiu

Reference 21

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Observation 48ffb516-0d61-49ac-bbe4-c96c9321e4a6 · outbound

This paper cites DiSK: A Diffusion Model for Structured Knowledge.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention DiSK: A Diffusion Model for Structured Knowledge

Reference 22

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Observation f8ef3565-7d3e-4912-85b6-8855cae133a6 · outbound

This paper cites Flexprefill: A context-aware sparse attention mecha- nism for efficient long-sequence inference.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Flexprefill: A context-aware sparse attention mecha- nism for efficient long-sequence inference

Reference 23

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Observation 139bf43e-b641-4de4-95e2-8c48a49314cb · outbound

This paper cites Selective attention improves transformer.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Selective attention improves transformer

Reference 24

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Observation 372eae89-c2a0-4707-943a-7f7c56afae51 · outbound

This paper cites Diffusion-lm improves control- lable text generation.Advances in Neural Information Pro- cessing Systems, 35:4328–4343.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Diffusion-lm improves control- lable text generation.Advances in Neural Information Pro- cessing Systems, 35:4328–4343

Reference 25

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Observation c2027f30-6631-4cfd-be79-d162ceaffb2f · outbound

This paper cites Text generation with diffusion language models: A pre-training approach with continuous paragraph denoise.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Text generation with diffusion language models: A pre-training approach with continuous paragraph denoise

Reference 26

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Observation 8ba109ee-81e0-48d2-8876-9b46d9d05411 · outbound

This paper cites Longllada: Unlocking long con- text capabilities in diffusion llms.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Longllada: Unlocking long con- text capabilities in diffusion llms

Reference 27

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Observation 7b9d2878-48b9-45d8-af21-ca5aef48d043 · outbound

This paper cites Reflected diffusion models.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Reflected diffusion models

Reference 28

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Observation 8662358e-a180-4e19-85ae-350b8737b0f8 · outbound

This paper cites Zhang, Zhilin Yang, Xinyu Zhou, Mingxing Zhang, and Jiezhong Qiu.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Zhang, Zhilin Yang, Xinyu Zhou, Mingxing Zhang, and Jiezhong Qiu

Reference 29

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Observation 7e15e67f-8f08-48b1-8991-fd8fdeec01b2 · outbound

This paper cites Peters, and Ar- man Cohan.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Peters, and Ar- man Cohan

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:53:22.630043Z

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Observation aeae9016-9c2c-4f4a-8aae-716676c076f8 · outbound

This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 31

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Observation 4ce251a0-6281-403b-80bb-0485249cfc92 · outbound

This paper cites Docvqa: A dataset for vqa on document images.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Docvqa: A dataset for vqa on document images

Reference 32

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Observation 972e793e-f5b5-4360-a6da-cc438b4e51e0 · outbound

This paper cites Infographicvqa.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Infographicvqa

Reference 33

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Observation 51ddba6a-17ed-4693-9049-0968a5b4ae1e · outbound

This paper cites Transformers are multi-state rnns.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Transformers are multi-state rnns

Reference 34

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Observation 2aea28ad-dcfb-4887-9d5d-5fad38e3c165 · outbound

This paper cites Hellendoorn, and Graham Neubig.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Hellendoorn, and Graham Neubig

Reference 35

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Observation b57561d9-3e4f-471c-a4b1-88f584a766a7 · outbound

This paper cites Richemond, Sander Dieleman, and Arnaud Doucet.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Richemond, Sander Dieleman, and Arnaud Doucet

Reference 36

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Observation 050dd22b-395d-42a4-a3ec-0e84eb97451f · outbound

This paper cites Self-conditioned Embedding Diffusion for Text Generation.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Self-conditioned Embedding Diffusion for Text Generation

Reference 37

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Observation dc335636-39dd-4710-9460-634b734f6426 · outbound

This paper cites Score-based Continuous-time Discrete Diffusion Models.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Score-based Continuous-time Discrete Diffusion Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:04.644680Z

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Observation d18bdf79-ebb4-4e6e-8b83-54c86c46969b · outbound

This paper cites an unresolved cited work.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Unresolved cited work

Reference 39

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Observation 2b9251ad-dcf6-4cef-af05-9510bf6f98bc · outbound

This paper cites Wan: Open and advanced large-scale video generative models.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Wan: Open and advanced large-scale video generative models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:53:22.601367Z

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Observation 2b463ede-dc0d-4298-937e-c05f1b0ea842 · outbound

This paper cites MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-20T05:53:04.647464Z

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Observation 55ee2001-1347-4f03-9fb9-69f3d0c19996 · outbound

This paper cites Fast-dllm: Training-free acceleration of diffusion llm by enabling kv cache and parallel decoding.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Fast-dllm: Training-free acceleration of diffusion llm by enabling kv cache and parallel decoding

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:53:22.604840Z

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Observation 1dee2a00-6f63-4237-980a-0442770d4cac · outbound

This paper cites Ar-diffusion: Auto-regressive diffusion model for text generation.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Ar-diffusion: Auto-regressive diffusion model for text generation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:53:22.608986Z

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Observation bc915e6d-0599-460d-8791-f54d93edcb6b · outbound

This paper cites Grok-1.5 vision preview.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Grok-1.5 vision preview

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:53:22.642394Z

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Observation e6048583-dd94-4a6e-aa18-2eca0ff3333b · outbound

This paper cites Sparse videogen: Accelerating video diffusion transformers with spatial-temporal sparsity.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Sparse videogen: Accelerating video diffusion transformers with spatial-temporal sparsity

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:53:22.645895Z

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Observation 5955d4cf-688d-492e-952c-3b73c1f9d9bf · outbound

This paper cites Efficient streaming language models with attention sinks.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Efficient streaming language models with attention sinks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:53:22.638569Z

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Observation 47060cb4-dd3e-4965-8a4e-90f609cfbb44 · outbound

This paper cites Efficient streaming language models with attention sinks.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Efficient streaming language models with attention sinks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:53:22.636307Z

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Observation 7c93b1b7-59cf-429c-9fb1-f6e69f1c7d11 · outbound

This paper cites Xattention: Block sparse attention with an- tidiagonal scoring.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Xattention: Block sparse attention with an- tidiagonal scoring

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:53:22.636796Z

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Observation c1ceb7d8-81fb-418e-b237-110b0c5c9b93 · outbound

This paper cites Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:04.606868Z

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Observation 243a22f3-2542-4e0e-85b1-c29637ee70a2 · outbound

This paper cites Sparse videogen2: Accelerate video generation with sparse attention via semantic-aware permutation.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Sparse videogen2: Accelerate video generation with sparse attention via semantic-aware permutation

Reference 50

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This paper cites Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 51

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This paper cites DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises

Reference 52

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This paper cites Cascade infer- ence: Memory bandwidth efficient shared prefix batch de- coding.https://flashinfer.ai/2024/01/08/ cascade-inference.html.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Cascade infer- ence: Memory bandwidth efficient shared prefix batch de- coding.https://flashinfer.ai/2024/01/08/ cascade-inference.html

Reference 53

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Observation beed53e4-85af-421d-9d05-ddb0d5ece317 · outbound

This paper cites Llada-v: Large language diffusion models with visual instruction tuning.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Llada-v: Large language diffusion models with visual instruction tuning

Reference 54

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Observation c1d940b2-e13c-4c05-ad96-d82fe73c21a6 · outbound

This paper cites an unresolved cited work.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Unresolved cited work

Reference 55

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Observation 1a39369b-b86e-429d-aeaf-08408be870d2 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi

Reference 56

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Observation a82bbf69-7e34-4c6c-98b5-af8865ed88a1 · outbound

This paper cites MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Reference 57

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Observation 1a4265dd-352d-4d95-82b1-446fe221e3fa · outbound

This paper cites Big bird: Transformers for longer sequences.Advances in Neu- ral Information Processing Systems, 33.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Big bird: Transformers for longer sequences.Advances in Neu- ral Information Processing Systems, 33

Reference 58

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This paper cites Fast video gen- eration with sliding tile attention.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Fast video gen- eration with sliding tile attention

Reference 59

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Observation 10d35052-eebe-4e30-b4f6-29425426dc86 · outbound

This paper cites Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:04.618418Z

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Observation 89a97160-6e4c-44e7-9dd0-36db950be0ed · outbound

This paper cites Planner: Generating diversified paragraph via latent language diffusion model.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Planner: Generating diversified paragraph via latent language diffusion model

Reference 61

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Observation 2fe0e7ea-afb9-4351-bc77-e0facf748ef0 · outbound

This paper cites H 2o: Heavy-hitter oracle for efficient generative in- ference of large language models.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention H 2o: Heavy-hitter oracle for efficient generative in- ference of large language models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:53:22.612950Z

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Observation a6dba996-c5dc-415e-96f5-721060a8b143 · outbound

This paper cites Masked diffusion models are secretly time-agnostic masked models and exploit inaccurate categorical sampling.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Masked diffusion models are secretly time-agnostic masked models and exploit inaccurate categorical sampling

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:53:22.617891Z

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Observation 4cb48701-5e40-47d4-96bf-cbf4fc4ec25b · outbound

This paper cites A Reparameterized Discrete Diffusion Model for Text Generation.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention A Reparameterized Discrete Diffusion Model for Text Generation

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:04.636431Z

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Observation 404b5d4c-185c-4e52-85c9-89bf2f6c93bb · outbound

This paper cites MLVU: Benchmarking Multi-task Long Video Understanding.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention MLVU: Benchmarking Multi-task Long Video Understanding

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-05-20T05:53:04.623711Z

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Observation 79e754ac-e453-4edc-8d6a-ffae300cdf69 · outbound

This paper cites Llada 1.5: Variance- reduced preference optimization for large language diffusion models.

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention Llada 1.5: Variance- reduced preference optimization for large language diffusion models

Reference 66

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