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Paper Citation Record · LEDGER

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification

As of 5 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.24027.

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

pith.paper-citation-record.v1
2607.24027 v1

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measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:18:25.154970Z

measured 52 of 52 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

52 of 52 outbound references displayed

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Outbound references

Observation d3fcb42d-4df4-41f2-9cef-4d52bb821a7c · outbound

This paper cites Scalable diffusion models with transformers.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Scalable diffusion models with transformers

Reference 1

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source=pdf_text observed=2026-07-31T23:18:25.043094Z digest=sha256:44b589d6b807cb734e12bc46a62629834e903904028538bcc589bedca1f03888

Observation 1541a1c4-3c16-4ae6-b0a5-3a264bfc5a22 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Wan: Open and Advanced Large-Scale Video Generative Models

Reference 2

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Observation fb1ec3ed-a732-470f-8328-a844bf982535 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 3

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Observation acb61bc1-abb3-4e79-9b56-d43b0f4543f4 · outbound

This paper cites LTX-Video: Realtime Video Latent Diffusion.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification LTX-Video: Realtime Video Latent Diffusion

Reference 4

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Observation 832ab346-283f-429b-927e-ced71769d193 · outbound

This paper cites LTX-2.3 Model Card.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification LTX-2.3 Model Card

Reference 5

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Observation de100b1b-32d7-4f31-953b-d86a1aa7ae46 · outbound

This paper cites MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model

Reference 6

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Observation 2ce8c061-9569-46cd-a21b-6e5ddf743c59 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 7

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Observation 4eb0677d-e64b-4ed5-9ab9-f629d79d1248 · outbound

This paper cites Sparse VideoGen2: Accelerate video generation with sparse attention via semantic-aware permutation.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Sparse VideoGen2: Accelerate video generation with sparse attention via semantic-aware permutation

Reference 8

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source=pdf_text observed=2026-07-31T23:18:25.061350Z digest=sha256:c8250dce45aafb6817acbde8d7883f64e95b79e55cf3620ed1ba52578efa9327

Observation e2f4544a-ebb0-495a-9f92-ea7028eb54c9 · outbound

This paper cites SpargeAttention: Accurate and training-free sparse attention accelerating any model inference.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification SpargeAttention: Accurate and training-free sparse attention accelerating any model inference

Reference 9

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source=pdf_text observed=2026-07-31T23:18:25.063422Z digest=sha256:44545ed147bf1065bcb28edc8933c38b39568549ac01dde26538b6ad74977387

Observation 7224edef-c8d0-4f00-93d5-35e3ddca1c17 · outbound

This paper cites XAttention: Block sparse attention with antidiagonal scoring.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification XAttention: Block sparse attention with antidiagonal scoring

Reference 10

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Observation 3501a7eb-148a-4f40-814e-f423a54b239b · outbound

This paper cites PISA: Piecewise sparse attention is wiser for efficient diffusion transformers.arXiv preprint arXiv:2602.01077, 2026.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification PISA: Piecewise sparse attention is wiser for efficient diffusion transformers.arXiv preprint arXiv:2602.01077, 2026

Reference 11

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Observation 3533da2c-cdd0-4f28-9d02-81ecb344dc86 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Fu, Stefano Ermon, Atri Rudra, and Christopher Ré

Reference 12

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Observation 54ee9e97-2425-451d-bf08-ee12bb49ba61 · outbound

This paper cites LIVEditor-14B: Lightning unified video editing via in-context sparse attention.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification LIVEditor-14B: Lightning unified video editing via in-context sparse attention

Reference 13

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Observation 683926f1-9870-4be4-95bc-344ba50fae4d · outbound

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

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, and Lili Qiu

Reference 14

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Observation 96b84db7-c5d4-4cc2-a945-99b7e811bf8c · outbound

This paper cites Optimizing mixture of block attention.arXiv preprint arXiv:2511.11571, 2025.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Optimizing mixture of block attention.arXiv preprint arXiv:2511.11571, 2025

Reference 15

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Observation 83483f21-e69b-427d-aa65-24b24fb608d6 · outbound

This paper cites Bernini: Latent Semantic Planning for Video Diffusion.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Bernini: Latent Semantic Planning for Video Diffusion

Reference 16

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Observation 31e28a19-dbe4-4ed1-bc30-540ec11f0d91 · outbound

This paper cites SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer

Reference 17

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Observation 8f919d37-0d40-4b0c-85db-48cad58168b7 · outbound

This paper cites Ideogram 4.https://ideogram.ai/blog/ideogram-4.0/, 2026.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Ideogram 4.https://ideogram.ai/blog/ideogram-4.0/, 2026

Reference 18

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Observation ab2b203e-2d67-4d1c-a1f7-4efa589157a0 · outbound

This paper cites VBench: Comprehensive benchmark suite for video generative models.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification VBench: Comprehensive benchmark suite for video generative models

Reference 19

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Observation c64ac7b5-84d1-435c-8694-d160c18970d3 · outbound

This paper cites Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation

Reference 20

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Observation a43b9576-f702-4671-8e59-2eb181d79493 · outbound

This paper cites FlashAttention-3: Fast and accurate attention with asynchrony and low-precision.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification FlashAttention-3: Fast and accurate attention with asynchrony and low-precision

Reference 21

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Observation 262c25b3-48ab-4029-922c-c7a9cb80b297 · outbound

This paper cites FlashAttention-4: Algorithm and kernel pipelining co-design for asymmetric hardware scaling.arXiv preprint arXiv:2603.05451, 2026.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification FlashAttention-4: Algorithm and kernel pipelining co-design for asymmetric hardware scaling.arXiv preprint arXiv:2603.05451, 2026

Reference 22

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Observation a4bdc148-4a71-40a0-9059-007ce0831a5c · outbound

This paper cites Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching

Reference 23

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Observation 8519c4e9-cdec-487a-b603-07932f114f93 · outbound

This paper cites Timestep embedding tells: It’s time to cache for video diffusion model.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Timestep embedding tells: It’s time to cache for video diffusion model

Reference 24

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Observation eb1589cd-19d9-407f-a8ed-49bf188d7a36 · outbound

This paper cites From reusing to forecasting: Accelerating diffusion models with TaylorSeers.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification From reusing to forecasting: Accelerating diffusion models with TaylorSeers

Reference 25

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Observation 97b2ca5d-4735-4231-858f-85bd5eb2e954 · outbound

This paper cites Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation

Reference 26

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Observation e26f0c16-6cc2-4f51-9583-b72cd8fbf110 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Generating Long Sequences with Sparse Transformers

Reference 27

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Observation 497f7ef4-ded1-4fe1-b023-75a7a179efae · outbound

This paper cites Longformer: The Long-Document Transformer.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Longformer: The Long-Document Transformer

Reference 28

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Observation 962a8905-2dbc-4fac-82de-cb36f0a2c1f5 · outbound

This paper cites Big bird: Transformers for longer sequences.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Big bird: Transformers for longer sequences

Reference 29

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Observation f77cb24f-3fe2-4c50-9904-341560c67805 · outbound

This paper cites Reformer: The efficient transformer.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Reformer: The efficient transformer

Reference 30

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source=pdf_text observed=2026-07-31T23:18:25.108978Z digest=sha256:96b1f36c66077de6f675083898e37ec7fc6d291624ffe2b4ebedeac3d6b678af

Observation b89c33f3-0d75-4781-8932-11456f65adef · outbound

This paper cites Efficient content-based sparse attention with routing transformers.Transactions of the Association for Computational Linguistics, 9:53–68, 2021.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Efficient content-based sparse attention with routing transformers.Transactions of the Association for Computational Linguistics, 9:53–68, 2021

Reference 31

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Observation bcd9f100-c347-4724-8917-23ff22381c18 · outbound

This paper cites SeerAttention: Self-distilled attention gating for efficient long-context prefilling.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification SeerAttention: Self-distilled attention gating for efficient long-context prefilling

Reference 32

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Observation 7b341715-e828-4377-8162-bb15b3787322 · outbound

This paper cites Native sparse attention: Hardware-aligned and natively trainable sparse attention.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Native sparse attention: Hardware-aligned and natively trainable sparse attention

Reference 33

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Observation 7b475d8f-4a69-4a1b-9d10-5a85a8e3626a · outbound

This paper cites MoBA: Mixture of block attention for long-context LLMs.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification MoBA: Mixture of block attention for long-context LLMs

Reference 34

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Observation bcb66a47-6d8e-40fd-b8ac-4e69ba8fef5f · outbound

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

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Sparse video-gen: Accelerating video diffusion transformers with spatial-temporal sparsity

Reference 35

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Observation d42b402b-cbb8-405d-9b4d-a3c00cc5d0ae · outbound

This paper cites Radial attention:𝒪(𝑛log𝑛)sparse attention with energy decay for long video generation.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Radial attention:𝒪(𝑛log𝑛)sparse attention with energy decay for long video generation

Reference 36

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source=pdf_text observed=2026-07-31T23:18:25.121332Z digest=sha256:f4ffeccfbfb3661cb97f2599a9f0cc29bf02e87e975b5ac44a476b93c2d32196

Observation d9470a0a-e4ec-49a1-a963-489726405f4d · outbound

This paper cites Fast video generation with sliding tile attention.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Fast video generation with sliding tile attention

Reference 37

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source=pdf_text observed=2026-07-31T23:18:25.123340Z digest=sha256:06b944719cc3372fe6128e1fabda62a16fa32b8953c70997e3bbe2eafcae1286

Observation b516180d-5f5e-4fd3-a58c-c9c2fd40664f · outbound

This paper cites Sparse-vDiT: Unleashing the power of sparse attention to accelerate video diffusion transformers.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Sparse-vDiT: Unleashing the power of sparse attention to accelerate video diffusion transformers

Reference 38

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source=pdf_text observed=2026-07-31T23:18:25.125454Z digest=sha256:b152e6adafef5a83d436823248d6af896a7268643aa471c17e86140ec50d4ef1

Observation d9020c76-95b3-44bf-a946-9b7ae024d817 · outbound

This paper cites Xing, and Hao Zhang.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Xing, and Hao Zhang

Reference 39

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source=pdf_text observed=2026-07-31T23:18:25.127847Z digest=sha256:08a5ade0448936440339d07ea7bb0edfdf14586dee242e86108380382c7286c1

Observation 8161ade0-ec56-4605-8d72-05134b2dc158 · outbound

This paper cites DFSAttn: Dynamic fine-grained sparse attention for efficient video generation.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification DFSAttn: Dynamic fine-grained sparse attention for efficient video generation

Reference 40

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source=pdf_text observed=2026-07-31T23:18:25.130080Z digest=sha256:aa592e879e021b2c146e57ad92dc05b7b412647f6da80eba316d012cdc9f0418

Observation af357fef-8760-4890-8a37-aa28196bbf83 · outbound

This paper cites FPSAttention: Training-aware FP8 and sparsity co-design for fast video diffusion.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification FPSAttention: Training-aware FP8 and sparsity co-design for fast video diffusion

Reference 41

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source=pdf_text observed=2026-07-31T23:18:25.131959Z digest=sha256:5317370fd923f28b209f2468bc0781ae9a2c148019e96f355431222a6d150320

Observation 7a0825ac-0098-42e4-ac79-0a74c00c5f2a · outbound

This paper cites SpargeAttention2: Trainable sparse attention via hybrid top-𝑘+top-𝑝 masking and distillation fine-tuning.arXiv preprint arXiv:2602.13515, 2026.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification SpargeAttention2: Trainable sparse attention via hybrid top-𝑘+top-𝑝 masking and distillation fine-tuning.arXiv preprint arXiv:2602.13515, 2026

Reference 42

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source=pdf_text observed=2026-07-31T23:18:25.133988Z digest=sha256:11cced6c7e3d10823346cfd6d9a2c47f77810d11423bb909d5b92a3d193b51e8

Observation 8b9325c0-87f4-4556-9b21-f4ab4820ab4d · outbound

This paper cites Twilight: Adaptive attention sparsity with hierarchical top-𝑝 pruning.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Twilight: Adaptive attention sparsity with hierarchical top-𝑝 pruning

Reference 43

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source=pdf_text observed=2026-07-31T23:18:25.136021Z digest=sha256:b32c2bbf397416a19c2a43c9f3aa924719542924b0165bad94c64759cfd8b435

Observation 8b35a45f-0f7c-48f5-878c-567b3cc2581f · outbound

This paper cites VecAttention: Vector- wise sparse attention for accelerating long context inference.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification VecAttention: Vector- wise sparse attention for accelerating long context inference

Reference 44

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source=pdf_text observed=2026-07-31T23:18:25.137951Z digest=sha256:ac037229053f9660fb3580967fc736d1ebb52e965bbdbf51d161fb8a9beaf293

Observation 14a6b053-c9f2-4a87-a878-fd2d63dd0b97 · outbound

This paper cites QUEST: Query-aware sparsity for efficient long-context LLM inference.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification QUEST: Query-aware sparsity for efficient long-context LLM inference

Reference 45

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source=pdf_text observed=2026-07-31T23:18:25.140412Z digest=sha256:b80e3de0c9ab4e42ffb54983e88c202fecde13e01a4e4994fb1b65b3379b679f

Observation 76f3cee2-d2bc-416b-a272-f743ca1f91df · outbound

This paper cites A training-free sub-quadratic cost transformer model serving framework with hierarchically pruned attention.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification A training-free sub-quadratic cost transformer model serving framework with hierarchically pruned attention

Reference 46

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source=pdf_text observed=2026-07-31T23:18:25.142801Z digest=sha256:f3ea89df4303e7ea21bf12efe59998bc3b57da950de1546a9c2cc5217362e60c

Observation 559a0cb8-5967-4956-958b-9cfa9b633298 · outbound

This paper cites FlexPrefill: A context-aware sparse attention mechanism for efficient long-sequence inference.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification FlexPrefill: A context-aware sparse attention mechanism for efficient long-sequence inference

Reference 47

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source=pdf_text observed=2026-07-31T23:18:25.144814Z digest=sha256:607db164b5803d5c9bccb2486b06959cb7fd16f888deb66a9189cc685e73e1f7

Observation 2d8d46fd-fc07-48c8-8ada-297bd02b9f7d · outbound

This paper cites Gonzalez, and Ion Stoica.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Gonzalez, and Ion Stoica

Reference 48

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source=pdf_text observed=2026-07-31T23:18:25.146747Z digest=sha256:d8265575a68d0718890639e0cbfb19c8142f764bcb1bd5498c7739d2a56f40b9

Observation 84761b5d-e111-49ee-818d-b2ec4c12a083 · outbound

This paper cites SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing

Reference 49

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source=pdf_text observed=2026-07-31T23:18:25.148667Z digest=sha256:ecfdb29854ebbd636d550dad28f1d6c36df3397f1a064f213abb1c6bade88de3

Observation 3caa674b-9cd1-41ee-a30d-f8a9d2f4623b · outbound

This paper cites Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention

Reference 50

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source=pdf_text observed=2026-07-31T23:18:25.150782Z digest=sha256:de22fd0caebd58f5a09177bc5f20631e8a76bfb68053fa14186c856c88124561

Observation e8f91928-27e3-48e5-8b75-baf199657299 · outbound

This paper cites Gonzalez, Jianfei Chen, and Jun Zhu.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Gonzalez, Jianfei Chen, and Jun Zhu

Reference 51

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source=pdf_text observed=2026-07-31T23:18:25.152788Z digest=sha256:d18b52785ce95a84804ede40271a1d5fe768947933726394f9adb46eab5cc74e

Observation 86fc9978-6cf5-435d-9268-b962eb144bb0 · outbound

This paper cites Gonzalez.

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification Gonzalez

Reference 52

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source=pdf_text observed=2026-07-31T23:18:25.154970Z digest=sha256:78db07d0110c8c342a3af86d2520cc7abd83378b4c37fbcf0e251e0ae7b2c642

Pith citing papers

No inbound Pith citation observations are available.