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Paper Citation Record · LEDGER

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.02584.

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

pith.paper-citation-record.v1
2607.02584 v2

Coverage vector

measured 57 of 57 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T16:53:34.398685Z

measured 57 of 57 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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57 of 57 outbound references displayed

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Outbound references

Observation 59f73a8c-e2fa-4656-bd6d-89b419ff74ef · outbound

This paper cites Advances in Neural Information Processing Systems37, 100213–100240 (2024).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Advances in Neural Information Processing Systems37, 100213–100240 (2024)

Reference 1

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Observation f81c0d0d-901b-418c-bf2b-bff90bf5bbf0 · outbound

This paper cites FPTQuant: Function-Preserving Transforms for LLM Quantization.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation FPTQuant: Function-Preserving Transforms for LLM Quantization

Reference 2

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Observation e0af4660-6233-4587-926d-c000be701d43 · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2024).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Twelfth International Conference on Learning Representations (2024)

Reference 3

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Observation 99585379-98bb-42e8-9088-ff8decfad699 · outbound

This paper cites Advances in neural information processing systems34, 9355–9366 (2021).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Advances in neural information processing systems34, 9355–9366 (2021)

Reference 4

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Observation 7bc3f075-ae24-4a32-95cd-dc869fd18fba · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2024).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Twelfth International Conference on Learning Representations (2024)

Reference 5

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Observation 9ccc5562-fdad-46df-8d42-6d8464fa71e9 · outbound

This paper cites Advances in neural information pro- cessing systems35, 16344–16359 (2022).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Advances in neural information pro- cessing systems35, 16344–16359 (2022)

Reference 6

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Observation 9f3b583e-3466-4e8d-9483-a0504c656165 · outbound

This paper cites int8 (): 8-bit matrix multiplication for transformers at scale.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation int8 (): 8-bit matrix multiplication for transformers at scale

Reference 7

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Observation e72e2d2f-39f7-40b0-aaf9-b4988c258b8e · outbound

This paper cites arXiv preprint arXiv:2510.27684 (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation arXiv preprint arXiv:2510.27684 (2025)

Reference 8

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Observation 03ad4511-1d6b-4d46-bb1b-4b7714d2a426 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 9

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Observation 0f81de6a-5770-4826-a9f4-53045818dd85 · outbound

This paper cites arXiv preprint arXiv:2505.11497 (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation arXiv preprint arXiv:2505.11497 (2025)

Reference 10

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Observation 26114948-0773-4021-8498-f959c5277292 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 11

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Observation 9c610368-d266-4829-8996-92de6564c6dc · outbound

This paper cites In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024)

Reference 12

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Observation 4daeec85-1137-4f9c-b350-373754a104fb · outbound

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

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 13

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Observation a030661d-ae45-4691-8e0b-14624f4d0796 · outbound

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Unresolved cited work

Reference 14

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Observation 2d069d02-d1a6-4df9-9da0-0af32f7bf899 · outbound

This paper cites arXiv preprint arXiv:2411.05007 (2024) 16 Y.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation arXiv preprint arXiv:2411.05007 (2024) 16 Y

Reference 15

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Observation 266ecf2c-0150-46c0-bd48-4480f082a89c · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 16

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Observation 13746470-56da-4898-abb1-b7208f7d3c48 · outbound

This paper cites In: Forty-first International Confer- ence on Machine Learning (2024).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: Forty-first International Confer- ence on Machine Learning (2024)

Reference 17

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Observation 1904ca98-8284-4f88-95b6-47a930f6a06b · outbound

This paper cites In: Proceedings of the IEEE/CVF Inter- national Conference on Computer Vision.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: Proceedings of the IEEE/CVF Inter- national Conference on Computer Vision

Reference 18

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Observation ec5ea1d8-8755-48b8-b656-ecce93d6ca8e · outbound

This paper cites In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024)

Reference 19

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This paper cites Proceedings of machine learning and systems6, 87–100 (2024).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Proceedings of machine learning and systems6, 87–100 (2024)

Reference 20

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This paper cites In: The Fourteenth International Conference on Learning Repre- sentations (2026).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Fourteenth International Conference on Learning Repre- sentations (2026)

Reference 21

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Unresolved cited work

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This paper cites In: The Thirteenth International Conference on Learning Representations (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Thirteenth International Conference on Learning Representations (2025)

Reference 24

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA)

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Unresolved cited work

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation ACM Transactions on Storage (2024)

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Thirty-eighth Annual Conference on Neural Information Processing Sys- tems (2024) RotateAttention 17

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Neurocomputing568, 127063 (2024)

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Advances in Neural Information Processing Systems37, 76775–76818 (2024)

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This paper cites In: Forty-second International Conference on Machine Learning (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: Forty-second International Conference on Machine Learning (2025)

Reference 33

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: European Conference on Computer Vision

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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation x-bit kv cache quan- tization for video large language models

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Observation 54df6afe-b674-414c-95bb-02fe71c889a3 · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2024).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Twelfth International Conference on Learning Representations (2024)

Reference 36

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:5cc85430de1743c4004fd0eeba9b3f589f2d3b46360ce6f023e4263a03e22758

Observation 24ef16c5-b2c1-490c-98c2-89384c1590e5 · outbound

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

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 37

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:2cff25c6c3c8422c52242d4ef63634fd4f2d93990c8e48a8db4925896000174b

Observation 8aabfc79-03de-404a-89e9-7ceb0285db45 · outbound

This paper cites TileLang: A Composable Tiled Programming Model for AI Systems.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation TileLang: A Composable Tiled Programming Model for AI Systems

Reference 38

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:077eaf15944380c7dd4a05b17cc5b012180aa8b248733c0970f20bb17cdc4cb1

Observation e518a842-edb7-4ebb-9151-49865fc90eac · outbound

This paper cites IEEE transactions on image processing 13(4), 600–612 (2004).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation IEEE transactions on image processing 13(4), 600–612 (2004)

Reference 39

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:1f203bdd46319c96cec6a70e66d62e5de29dd9600559f728594a77a52b115cf7

Observation f0a29273-20c0-473f-8c5b-90684f9aeed7 · outbound

This paper cites In: Forty-second International Conference on Machine Learning (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: Forty-second International Conference on Machine Learning (2025)

Reference 40

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:d550c9b0f5b3cbe20f71f29abba74cde70484a1329d781fd9646c3a416074fc7

Observation 9f678a16-7f1b-4abd-a392-f2592e174e49 · outbound

This paper cites Advances in neural information processing systems37, 119638–119661 (2024).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Advances in neural information processing systems37, 119638–119661 (2024)

Reference 41

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:672a84a6df593db910d02c59fca2cc140f1dfacbcbf68cf64d28efd1b1e4872e

Observation cad5688f-9587-40c3-aa0a-35986090cabe · outbound

This paper cites In: International conference on machine learning.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: International conference on machine learning

Reference 42

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:35964734d0a2f491861bd2590d6cad12d4ba7c80c07c0353f1002123812c95d7

Observation 2bdab7d0-fa57-43c8-9247-47e8079b6361 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Efficient Streaming Language Models with Attention Sinks

Reference 43

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:9e88d7617279c2c190ffecc864cf81bd3c21f2de7123f8e181b5aabdc4793b58

Observation de2d06f0-6db3-40bf-9d96-ee8bdc6217d5 · outbound

This paper cites In: The Thirty-ninth Annual Conference on Neural Information Processing Systems (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Thirty-ninth Annual Conference on Neural Information Processing Systems (2025)

Reference 44

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:538f5b166a53dea1f6351e81a9b3570535630084b070442e8e58a4ce389bd714

Observation 59ca7d24-486c-4cc0-ada1-9cbb2805d715 · outbound

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

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 45

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:fd500a37dd561cc9fe4ac0afbcb76b11acbf763f32c49dc5e4b8d92550bd8f07

Observation aa667d09-ad2f-44d7-9cfc-b7aabc40b975 · outbound

This paper cites Advances in Neural Information Processing Systems37, 1196–1219 (2024) 18 Y.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Advances in Neural Information Processing Systems37, 1196–1219 (2024) 18 Y

Reference 46

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:e2f3287d41505eb893ba8e6504eb0675bce79d4c46fc97a95e66ff40fcaa5ba6

Observation c5a4b618-687a-4904-bf0c-dbe0a606e52d · outbound

This paper cites In: First Workshop on Scalable Optimization for Efficient and Adaptive Foundation Models (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: First Workshop on Scalable Optimization for Efficient and Adaptive Foundation Models (2025)

Reference 47

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:f5abdca7cc4385e5d0ebec8f6f41c8ef9280b2311342b4a4eb0e8863d95ff25f

Observation 78812013-4780-439f-972b-64ce9aa88439 · outbound

This paper cites arXiv preprint arXiv:2509.24006 (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation arXiv preprint arXiv:2509.24006 (2025)

Reference 48

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:69d4a8d10dde57dad1960c257d809a982c2160046451ba3050d55ecf3db8a4b5

Observation 7df3051c-0b65-40e8-81fc-3b8348e1e7d5 · outbound

This paper cites In: The Thirty-ninth Annual Conference on Neural Information Processing Systems (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Thirty-ninth Annual Conference on Neural Information Processing Systems (2025)

Reference 49

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:e0659e271f7fa9435c3e329fae54c81688a150ed1fd8e65372fb07fbe12bb945

Observation 84f1a08d-6a5c-4de7-a0fa-31b980631346 · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Thirteenth International Conference on Learning Representations (2025)

Reference 50

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Observation 932f0ae8-a076-4133-b20b-867a82cd855c · outbound

This paper cites In: Forty-second International Conference on Machine Learning (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: Forty-second International Conference on Machine Learning (2025)

Reference 51

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:14541d95613c2a681af5604b215235433886fab4df21968b9035e48e912a8782

Observation eb850a62-36fb-4568-abc5-e98ef82162d3 · outbound

This paper cites Fast Video Generation with Sliding Tile Attention.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Fast Video Generation with Sliding Tile Attention

Reference 52

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Observation d2a8d7d1-c69e-4f13-83f3-6ff86af49541 · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Thirteenth International Conference on Learning Representations (2025)

Reference 53

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Observation 6fa09179-1fdc-4e5d-a296-85dc879fcdd2 · outbound

This paper cites In: The Thirty-ninth Annual Conference on Neural Information Processing Systems (2025).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: The Thirty-ninth Annual Conference on Neural Information Processing Systems (2025)

Reference 54

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:f22e5599ed75643953dce75b9d2ad9a1bff01499e67b87048033d9338ab33bb8

Observation e7049878-e2e0-4aad-b2c7-e938e3c1be87 · outbound

This paper cites In: European Conference on Computer Vision.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: European Conference on Computer Vision

Reference 55

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:4dbc1c1dc2d2339c44197fa503dd9154e82bd4f7ed94fd64c10856266b01efba

Observation 9a6d3f22-6e14-4e91-aa5e-042df8d46f05 · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation Open-Sora: Democratizing Efficient Video Production for All

Reference 56

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Observation 92d64997-ca4a-4fc6-a288-15c824622f5e · outbound

This paper cites In: 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 24).

RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation In: 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 24)

Reference 57

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source=pdf_text observed=2026-07-14T16:53:34.398685Z digest=sha256:c863d3f1bebee58497bfaad72a5b9d5728012cd1f0896f7a039bdc14043fd449

Pith citing papers

No inbound Pith citation observations are available.