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Paper Citation Record · LEDGER

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models

As of 9 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 3 inbound Pith citation observations for arXiv:2506.16054.

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

pith.paper-citation-record.v1
2506.16054 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:05.625977Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:22:55.731241Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.827683Z

Reference resolution

70 of 70 outbound references displayed

  • verified exact0
  • verified fuzzy37
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40f13473-88e0-492b-8552-0051ecffe199 · outbound

This paper cites https://resources.nvidia.com/en-us-tensor-core ,.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models https://resources.nvidia.com/en-us-tensor-core ,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:07.245372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:04.489965Z digest=sha256:339a1aac961ce706d47418ac82b35e53aca98c9d8882dca754d0472a4cfe3fc6

Observation 22107bba-3e60-458f-8b00-34068849c014 · outbound

This paper cites https://docs.amd.com/r/2021.2-English/ug1483-model-composer-sys-gen-user-guide/ DSP48E,.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models https://docs.amd.com/r/2021.2-English/ug1483-model-composer-sys-gen-user-guide/ DSP48E,

Reference 2

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raw_fallback, observed 2026-08-06T23:51:07.228724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:04.595686Z digest=sha256:04e3fe03a8e8e413a01ac896d6d41eff399f9c17021382a7db1d8364f1dd92ce

Observation be31a550-e543-4b19-a6c7-9dca606affdf · outbound

This paper cites Moba: Mixture of block attention.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Moba: Mixture of block attention

Reference 3

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raw_fallback, observed 2026-08-06T23:51:07.211648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:04.682196Z digest=sha256:be28d86bdf3dff5b62bcd652a1007101382a411832a519e696959b173a92510a

Observation ac339383-4460-4ea8-8591-a194a701b9e7 · outbound

This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:04.792773Z digest=sha256:d19a65113963cd1f2675b902aeb179a9dcb8bb60ace5919044b208be525eacd7

Observation bf589556-c1e2-4d91-8b0d-f413ca89f1fc · outbound

This paper cites RainFusion: Adaptive Video Generation Acceleration via Multi-Dimensional Visual Redundancy.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models RainFusion: Adaptive Video Generation Acceleration via Multi-Dimensional Visual Redundancy

Reference 5

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no resolver link, observed 2026-08-06T23:51:04.877354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:04.877354Z digest=sha256:1b357a6f79c39a57ac50cac4950bef4d89d88366f545bf5fb01e0ad1d01c7211

Observation 81a09fc4-af98-4d86-a281-ec2dce407603 · outbound

This paper cites Pixart- α: Fast training of diffusion transformer for photorealistic text-to-image synthesis, 2023.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Pixart- α: Fast training of diffusion transformer for photorealistic text-to-image synthesis, 2023

Reference 6

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raw_fallback, observed 2026-08-06T23:51:07.195285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.017856Z digest=sha256:69a5f0a0813455d3b120c8c0c989430d1b9ec2a18a2561849612a146208a7929

Observation 65439646-eafa-4f93-8680-4b93e0e56dcf · outbound

This paper cites Hardware acceleration of sparse and irregular tensor computations of ml models: A survey and insights.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Hardware acceleration of sparse and irregular tensor computations of ml models: A survey and insights

Reference 7

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raw_fallback, observed 2026-08-06T23:51:07.179828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.053929Z digest=sha256:3cb455c3a83e1b272140bdaa30b2a368212df99b8d274d9af6536e21b30c49a4

Observation 9862f58b-5461-4252-ae6a-b5497ede07ed · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:51:05.186517Z digest=sha256:475bbbc7a2730f561f061e452549ff4475400d2069cf39e1a1fe4acb23771b5c

Observation 8e6ea537-b7fc-4a28-acc5-ad995ed85e24 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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source=pdf_text observed=2026-08-06T23:51:05.296552Z digest=sha256:181c248772527982b55ddaf1ed026742d893e20b73f6e74d62c6d97cb0758f7c

Observation 35edc0f1-42d0-4bba-88db-b80ba96dc7b4 · outbound

This paper cites R2r: Efficiently navigating divergent reasoning paths with small-large model token routing.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models R2r: Efficiently navigating divergent reasoning paths with small-large model token routing

Reference 10

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source=pdf_text observed=2026-08-06T23:51:05.307908Z digest=sha256:ecca14c369af4f05a2249951091b444016e61c400fad34f44aed304f76a60b36

Observation ff253678-ee5e-475b-9449-27e353da9db6 · outbound

This paper cites Moa: Mixture of sparse attention for automatic large language model compression, 2024.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Moa: Mixture of sparse attention for automatic large language model compression, 2024

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:07.163791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.312568Z digest=sha256:13719662c9f146c954523955da9635e4fd52447a1d143b9e74aa6d0e1a9d6e3c

Observation ca7d1ebe-c8c2-49ed-9433-75b741fd4dc1 · outbound

This paper cites FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models

Reference 12

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no resolver link, observed 2026-08-06T23:51:05.316975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.316975Z digest=sha256:d2e0cd57928e8d14af034d8fecc7154665524aa2d78022c005632e815df1800e

Observation 1c53dc3a-6247-42a8-bf01-82c913187c3f · outbound

This paper cites Clipscore: A reference-free evaluation metric for image captioning.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Clipscore: A reference-free evaluation metric for image captioning

Reference 13

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raw_fallback, observed 2026-08-06T23:51:07.147052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.322466Z digest=sha256:3b39393c13d1e39c8734aa6b78be8498da6a038b3ec54818146d2645bf554c63

Observation 70c0bf38-4b18-49e2-b9ee-402b1413667b · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 14

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raw_fallback, observed 2026-08-06T23:51:07.131021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.327560Z digest=sha256:81c92ca245997ec933ebad8d2ce13d42f2ec9d6a6a0abde2ad51ccc99004be17

Observation 197f0536-f34e-4010-b0c7-9506d72aa179 · outbound

This paper cites Open-Sora.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Open-Sora

Reference 15

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raw_fallback, observed 2026-08-06T23:51:07.114317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.331841Z digest=sha256:91e35fba4153267fc15cafbfc93d519efabef8d5d4b000f89c29274df7b953a4

Observation 6065c072-55c3-458e-b9f3-fb4b310eef5b · outbound

This paper cites Qvgen: Pushing the limit of quantized video generative models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Qvgen: Pushing the limit of quantized video generative models

Reference 16

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source=pdf_text observed=2026-08-06T23:51:05.336621Z digest=sha256:bbb04d5a99928f914bede54d3dc10e5fd92c0fb2289309d404af1d058e31d4e7

Observation f320bd9e-5f10-4597-96fe-2cd2ae9cb08e · outbound

This paper cites VBench: Comprehensive Benchmark Suite for Video Generative Models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models VBench: Comprehensive Benchmark Suite for Video Generative Models

Reference 17

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source=pdf_text observed=2026-08-06T23:51:05.341299Z digest=sha256:b81754a582c1d3eedcd9b95835d6e9641efa55f3357421b2dc61a14381446a45

Observation 74f81c97-9fdd-443a-ac6a-295c489b7551 · outbound

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

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, and Lili Qiu

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.346754Z digest=sha256:8a4634c24b504c72211ac861d8de0a1bf24131a9034e07c2d19e7537db6f68ad

Observation e0d75ec8-a19c-4fd9-af8a-34f25fd55248 · outbound

This paper cites Flux.1: A high-quality text-to-image model.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Flux.1: A high-quality text-to-image model

Reference 19

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raw_fallback, observed 2026-08-06T23:51:07.080670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.351284Z digest=sha256:39fef94836b6fcb53a74c5843ebcd74dc22cabe05849c0e7c782e8bd9a13e3ba

Observation d85b7bbf-d45f-4ca2-90db-e93fe302d280 · outbound

This paper cites Flexprefill: A context-aware sparse attention mechanism for efficient long-sequence inference, 2025.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Flexprefill: A context-aware sparse attention mechanism for efficient long-sequence inference, 2025

Reference 20

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raw_fallback, observed 2026-08-06T23:51:07.064891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.355637Z digest=sha256:3ef9f4891f156995b9366857105ca0e8b5829cec98c7f15cff6c2028c637527a

Observation e10f7041-f47d-4b42-b356-5e4dd725026e · outbound

This paper cites Svdqunat: Absorbing outliers by low-rank components for 4-bit diffusion models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Svdqunat: Absorbing outliers by low-rank components for 4-bit diffusion models

Reference 21

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source=pdf_text observed=2026-08-06T23:51:05.359947Z digest=sha256:6ddeae7bb9ee846424c61d34b8549754f4237f9f6d4df72eda5f857f2d97641e

Observation d8411e65-4afe-4107-9b81-5b0f96ab574d · outbound

This paper cites Mbq: Modality-balanced quantization for large vision-language models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Mbq: Modality-balanced quantization for large vision-language models

Reference 22

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raw_fallback, observed 2026-08-06T23:51:07.048138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.364491Z digest=sha256:c12127b4059aff8b0662b051c1ed8a6e4fef77294af64a333c7790d18d6e8c0f

Observation cd399d00-fa43-4ec2-ac3c-053644d1f619 · outbound

This paper cites Evaluating quantized large language models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Evaluating quantized large language models

Reference 23

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raw_fallback, observed 2026-08-06T23:51:07.029985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.368760Z digest=sha256:59ce987bb122cd0bc5e4df0726ce8ae490af6000cdf94cad53608ce75fcf3bbf

Observation c9fbb866-6e7e-4ac0-8923-1eec75bee05f · outbound

This paper cites Q-diffusion: Quantizing diffusion models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Q-diffusion: Quantizing diffusion models

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:07.013456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.373045Z digest=sha256:ed5b0409ce38e624d520fd68d1e0f4c5ba11ac644e4b8c9e247aaac85d11fcd1

Observation f3e3e0be-b8e7-4a3a-a3bd-34492836fef8 · outbound

This paper cites TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 25

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no resolver link, observed 2026-08-06T23:51:05.377160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.377160Z digest=sha256:efc3221d5aac1f152d3af0c75aaf3b9edf33dd9ad31b4a76b97cdce0fef85756

Observation 97fd9b32-a573-4da2-9428-7d2c82926f23 · outbound

This paper cites Duquant: Distributing outliers via dual transformation makes stronger quantized llms.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Duquant: Distributing outliers via dual transformation makes stronger quantized llms

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.996393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.382277Z digest=sha256:388baf53225d8db2e7b2a832554f01be8d3bda406bcf121045cc125e4c080a48

Observation c16a4583-0fd7-4fb4-9790-2f02c162bd6d · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 27

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source=pdf_text observed=2026-08-06T23:51:05.387096Z digest=sha256:70a52f97c8ad2ae5bf069ac90880db9d181f995004280e8026665cff321f869f

Observation 83de083e-ed3f-4d35-a19f-aa8be04c7895 · outbound

This paper cites Lawrence Zitnick, and Piotr Dollár.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Lawrence Zitnick, and Piotr Dollár

Reference 28

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raw_fallback, observed 2026-08-06T23:51:06.980247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.391787Z digest=sha256:ba508dd2772b891f00e8eeb5fae6aa0915f5e88346cbbead2d8042dfcbe5a439

Observation 0c7bfd5d-7842-4cd9-8446-a2f147022ddb · outbound

This paper cites FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.396844Z digest=sha256:de9dd104df4edc045905771117d6d0f1bd196a2c1897a1e17f2265af49898fad

Observation 8f1e34e4-af45-4e1e-a329-a8bf8030d791 · outbound

This paper cites From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.401910Z digest=sha256:69983fe398fae382fdd30ed5e06f15ff30bd4a8acbbf31872afcbaf6f0f5f388

Observation df4693bc-bdfd-4a6e-9a8a-910229384ab7 · outbound

This paper cites PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.406333Z digest=sha256:46db0c4893bede1dfdce2b0f2737ef399005b7d88390072c6e97cc404c8a0d2a

Observation a626de08-5c20-40af-b665-ff05536d79cd · outbound

This paper cites EvalCrafter: Benchmarking and Evaluating Large Video Generation Models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.411761Z digest=sha256:d4166feb8722c262f379a5b4e33b55f5b24a39800ef9a94fb2d9fbdcea9b2025

Observation 2726c9ee-4f9c-4433-9cb6-3123e886caca · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Swin transformer: Hierarchical vision transformer using shifted windows

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.964518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.417257Z digest=sha256:7b222eff90d48369917751cd49d6eb0afdfb3ff12b42691eef312acede707116

Observation 9718ddbe-77f1-4a6b-a1a1-f470422cf245 · outbound

This paper cites A White Paper on Neural Network Quantization.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models A White Paper on Neural Network Quantization

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.422860Z digest=sha256:81db9205218a6c0aeac11150c2eeb3a2da6c37fbf683aa85af471f68b6ef40be

Observation fcc726ad-e46c-4467-9e50-78d7eddffe88 · outbound

This paper cites Scalable diffusion models with transformers, 2023.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Scalable diffusion models with transformers, 2023

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.948857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.428034Z digest=sha256:062dfdfc9595d29f20496335c49d6da356e7d9d8a066a1c538c1fa40f9d9f935

Observation 5fb43c8e-3ffa-4a87-888f-fcaed390b982 · outbound

This paper cites Post-training quantization on diffusion models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Post-training quantization on diffusion models

Reference 36

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raw_fallback, observed 2026-08-06T23:51:06.932492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.433628Z digest=sha256:199419b4a61d3b39f254e44ef9cf9fe89752a2fce5b559d3192e4ef1bbcd03d2

Observation 1abf0676-b877-419c-b657-b294733098e2 · outbound

This paper cites Plug-and-play 1.x-bit kv cache quantization for video large language models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Plug-and-play 1.x-bit kv cache quantization for video large language models

Reference 37

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source=pdf_text observed=2026-08-06T23:51:05.438352Z digest=sha256:ac5e7d2caa58f0a29f04c3b2c3d3eb94105a6fbeca4785b08791c1f02583ca1d

Observation e6335c5e-33c0-4c9e-ba5a-8e43da91cdbe · outbound

This paper cites Cogvideox-5b.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Cogvideox-5b

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.916858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.443100Z digest=sha256:81ba6afb6390c38591013b82f5546f5760770ae86184b84368ad1eebd709c596

Observation 808c4c4b-90b4-474a-92b2-8006f8100529 · outbound

This paper cites Fvd: A new metric for video generation.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Fvd: A new metric for video generation

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.899504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.448387Z digest=sha256:5f635226c1a4cf7e935ada6d48e0e160632958f72f0a5dea366c6e2b807a9e3e

Observation 797fc8e3-7acc-4280-a230-e06fbc66ead9 · outbound

This paper cites Attention is all you need.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Attention is all you need

Reference 40

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raw_fallback, observed 2026-08-06T23:51:06.882181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.453549Z digest=sha256:9d82b2eccbb6705160a9bc583f298a340de07339e932f0618762fc58a0d0a178

Observation d09bb5e1-0b16-4106-b61c-d2c1abc95514 · outbound

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

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.459083Z digest=sha256:571e7a80439db400d4b02545e58243f43aa4e479b756f93c906cc604a6145956

Observation ba9e7812-4aeb-47e3-969c-81bb70d6c717 · outbound

This paper cites Image quality assessment: From error visibility to structural similarity.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Image quality assessment: From error visibility to structural similarity

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.866356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.465393Z digest=sha256:b1c27f6919e4288704dbcb920305e1255eacbc5a66df65a927bedfde637942bb

Observation 2af81003-62fb-4016-98e5-7c1841e560db · outbound

This paper cites GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.470756Z digest=sha256:4766ee1c4a7b3c94de002dcf9137ba7feef6478dfb50fc9cccba19b8d9aaa66c

Observation 29025d51-14d7-49c4-a750-8bbf77ac3595 · outbound

This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Exploring video quality assessment on user generated contents from aesthetic and technical perspectives

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.850114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.476900Z digest=sha256:9fc181f077e8fdcaf3d85080af2ae62db238a717d66974d4aa52790295c9f81d

Observation 09f3f71e-2c8f-4692-ab8c-41ecd814d9a4 · outbound

This paper cites Sparse videogen: Accelerating video diffusion transformers with spatial-temporal sparsity, 2025.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Sparse videogen: Accelerating video diffusion transformers with spatial-temporal sparsity, 2025

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.831953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.483035Z digest=sha256:ac47320794f3c0593e89cc58ad5da194f63148ee08766cfb68200603bf347a83

Observation eb3176f0-b26e-4050-811a-2033d5ee0502 · outbound

This paper cites Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 46

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.488394Z digest=sha256:f875d541d38bfe556c86399e3902c8362ef0561d6eaa47ec8614cac603b4b0b9

Observation edb0e63f-bca9-4cf9-a086-445fad910dfb · outbound

This paper cites Efficient multi-task llm quantization and serving for multiple lora adapters.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Efficient multi-task llm quantization and serving for multiple lora adapters

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.815417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.493901Z digest=sha256:36fc451b800a1ad83b4c55fed99c4ca03715045ea5fed33b0381b55da77ee7b5

Observation 19a7852d-479e-450c-9889-535fd0a746c6 · outbound

This paper cites Training-free and adaptive sparse attention for efficient long video generation, 2025.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Training-free and adaptive sparse attention for efficient long video generation, 2025

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.500128Z digest=sha256:f4d174bffb8b650865b78cc4b32e979f0d8c15bc981d4ca3d4edb5594b0fee62

Observation f3d561b9-8361-4088-926b-c1aa386268e3 · outbound

This paper cites Infllm: Training-free long-context extrapolation for llms with an efficient context memory,.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Infllm: Training-free long-context extrapolation for llms with an efficient context memory,

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.505477Z digest=sha256:6e1be846992e3348b750f6b5e167e4b23bb0326f8e696f10b97276468eaf4c3c

Observation 987a1a00-881e-42f3-a533-a9ddfce3622f · outbound

This paper cites DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.511335Z digest=sha256:d41d8b216332ab37d75c69d96309354c558fa273a3f9944b01dd224f51fcefdc

Observation f8155a58-580c-469e-b3ec-98da7a163cb0 · outbound

This paper cites Efficient streaming language models with attention sinks, 2024.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Efficient streaming language models with attention sinks, 2024

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.778691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.517451Z digest=sha256:d1e8a49c996c6b136efe9c7fe9a5cc8511dc94bbc3887baf52d24a0d0296ca8d

Observation fe5c8862-117c-40f9-a117-ba5ddff78986 · outbound

This paper cites EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models

Reference 52

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.522354Z digest=sha256:fbdc7b0ac87f7116b58cf5c58e22f699f5541ad195c3f3815ede9ffceb39ca7a

Observation 6810644c-df25-4459-ba20-0086de6a5fd9 · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation, 2023.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Imagereward: Learning and evaluating human preferences for text-to-image generation, 2023

Reference 53

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raw_fallback, observed 2026-08-06T23:51:06.762134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.527741Z digest=sha256:47356497dafabd9695b6e5b3c184bca0c5db9cfdee168aaa0f46255b0b537993

Observation e89ccf27-81f0-47fa-897b-42b273e38716 · outbound

This paper cites Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 54

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.533597Z digest=sha256:92ce8d191b2d0d1901b3659fb91cad63e133aa3a978f2c77a6110168e55ec76c

Observation 2a90d210-1879-4f2c-afd9-77c390433939 · outbound

This paper cites SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 55

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no resolver link, observed 2026-08-06T23:51:05.539269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.539269Z digest=sha256:8e44117b2c130a079034524e6c04479d235fed8333ee9d3a5d1c3e108d292036

Observation 85e7ca4c-4869-4314-98fc-344ac48e69ca · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 56

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no resolver link, observed 2026-08-06T23:51:05.544820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.544820Z digest=sha256:9f6774a4a54aa3ac6592e8fae9ada40d72b7fe4828759a4da6a0a6a35b0a867d

Observation bd4237d9-5bba-4b84-a7cf-ff57294490ee · outbound

This paper cites DiTFastattn: Attention compression for diffusion transformer models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models DiTFastattn: Attention compression for diffusion transformer models

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.745330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.550531Z digest=sha256:af49c1fea74afafd88b0148920c223bebb0e60720bf6139d9166b4e596186628

Observation 28ea73ba-e42d-477b-946b-9fa96788e2d1 · outbound

This paper cites Big Bird: Transformers for Longer Sequences.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Big Bird: Transformers for Longer Sequences

Reference 58

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no resolver link, observed 2026-08-06T23:51:05.556548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.556548Z digest=sha256:e250690169189919621b4f974be5958b36aca925f8235fd8313081f845c1aa03

Observation a9c8e80f-e931-49cb-8794-66e87f536836 · outbound

This paper cites Sageattention2: Efficient attention with thorough outlier smoothing and per-thread int4 quantization, 2024.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Sageattention2: Efficient attention with thorough outlier smoothing and per-thread int4 quantization, 2024

Reference 59

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.728865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.561782Z digest=sha256:49712534226705f065e229d0fc44941f5fd1e0bcc0dc44562800e5949b49b235

Observation 1cfd8fa2-48a5-49cf-8675-dcebbfd6e4d8 · outbound

This paper cites Sageattention3: Microscaling fp4 attention for inference and an exploration of 8-bit training.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Sageattention3: Microscaling fp4 attention for inference and an exploration of 8-bit training

Reference 60

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no resolver link, observed 2026-08-06T23:51:05.567177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.567177Z digest=sha256:702c6af3a960278707c277b639c574b8638b7aad19e1bcea96e3039b6bd2e677

Observation 772340de-aba6-4585-a1ad-545d2404a0b1 · outbound

This paper cites Sageattention: Accurate 8-bit attention for plug-and-play inference acceleration.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Sageattention: Accurate 8-bit attention for plug-and-play inference acceleration

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.711021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.572050Z digest=sha256:0efd5fbe20f9a2b9c0e1815304e046e4d4e90f972031ea5f16375f34f7f66382

Observation 60dd34f0-429e-45f0-aca4-0ccce2511578 · outbound

This paper cites Spargeattn: Accurate sparse attention accelerating any model inference.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Spargeattn: Accurate sparse attention accelerating any model inference

Reference 62

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no resolver link, observed 2026-08-06T23:51:05.577632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.577632Z digest=sha256:dee4607ccb1cb69ab454b036df1a5e23d0c603caea972a38d26544ea7284bcd1

Observation 73e653c1-61fc-4678-b41a-9fb4739bcccf · outbound

This paper cites Spargeattn: Accurate sparse attention accelerating any model inference, 2025.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Spargeattn: Accurate sparse attention accelerating any model inference, 2025

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.692804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.583348Z digest=sha256:da082097f7eb06f53f3ea2cea8bf367504b327abf010bf1932a36b938c1901fd

Observation bf026bb8-1c7a-4a69-91ea-331b455d0370 · outbound

This paper cites Fast Video Generation with Sliding Tile Attention.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Fast Video Generation with Sliding Tile Attention

Reference 64

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no resolver link, observed 2026-08-06T23:51:05.591383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.591383Z digest=sha256:f01ae0f1a9c668cf46dcd6c0f10173a5940fded16cc2fe28b8934f8f63e94a27

Observation aab87744-35e6-4f3a-93dd-d848650de30b · outbound

This paper cites Faster video diffusion with trainable sparse attention.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Faster video diffusion with trainable sparse attention

Reference 65

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no resolver link, observed 2026-08-06T23:51:05.597518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.597518Z digest=sha256:f1d32447e79f7c9496c8f18472adf9f8de68e48a8982a0746bbc3375b3eeb005

Observation 4dba0caa-bad5-4e6c-a16a-752d4abd5ae4 · outbound

This paper cites Accurate INT8 Training Through Dynamic Block-Level Fallback.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Accurate INT8 Training Through Dynamic Block-Level Fallback

Reference 66

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no resolver link, observed 2026-08-06T23:51:05.603947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.603947Z digest=sha256:0f400e513130a5736ed123fdfd1f7f18060ba1c159b4812e0be2aeef6be716f8

Observation e12275ef-9160-4cc3-98c6-b137af8d12c5 · outbound

This paper cites H 2o: Heavy-hitter oracle for efficient generative inference of large language models, 2023.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models H 2o: Heavy-hitter oracle for efficient generative inference of large language models, 2023

Reference 67

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.676321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.609964Z digest=sha256:e7f5329414b3819e5daafd45a6dd17c47b3480b76c49c17a2ae6ce6ca3dc7c3d

Observation f4bf25be-015c-4fb9-8fb7-bf10ef0c9d89 · outbound

This paper cites Flasheval: Towards fast and accurate evaluation of text-to-image diffusion generative models.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Flasheval: Towards fast and accurate evaluation of text-to-image diffusion generative models

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.659813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.615547Z digest=sha256:7b29b7dd217f9a8a5c86f2a79389a19fdcff7ff9c84746115b290a9b5246d7d9

Observation e062e1eb-31cd-48cf-a5f8-934d6f50ca8c · outbound

This paper cites Vidit-q: Efficient and accurate quantization of diffusion transformers for image and video generation, 2025.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Vidit-q: Efficient and accurate quantization of diffusion transformers for image and video generation, 2025

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.642445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.620696Z digest=sha256:9609f085802de2477bd55d4b0d5b81112c154f4f9c68bd6cd9bc21434c143143

Observation c4419178-731a-45bf-a357-94885e91fdc7 · outbound

This paper cites skipping.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models skipping

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:06.624107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:51:05.625977Z digest=sha256:b7b4c561d2adab26229380313695b3ccf200f9ae87c0e190a3d60488770d3d9b

Pith citing papers

Observation dac1cfcd-a98a-4114-982a-36d5e4c07256 · inbound

Efficient Video Diffusion Models: Advancements and Challenges cites this paper.

Efficient Video Diffusion Models: Advancements and Challenges PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models

Reference 194

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:26.339861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:a79fe186ddbe3c239176b25b68360ab61d72b35b792a624204d8dc67228fc541

Observation 908e6438-6909-4813-a979-f17ceb788497 · inbound

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention cites this paper.

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:19:46.176449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T05:17:48.403406Z digest=sha256:654e5f47cb65902e0464f3b353f00fdba1872e62f5255339a36cd4cc7fb92db4

Observation 057ba5b3-7239-453d-aa50-9d73c6ab6b97 · inbound

ScalingAttention: Discovering Intrinsic Sparse Attention Topology for Video Diffusion Transformers cites this paper.

ScalingAttention: Discovering Intrinsic Sparse Attention Topology for Video Diffusion Transformers PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:49:44.829010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T09:22:55.731241Z digest=sha256:dd614a8feb632f62e088e3a3cb05d6c56b386c6af37cba34effd4431d83d58ff