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Paper Citation Record · LEDGER

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

As of 23 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 10 inbound Pith citation observations for arXiv:2505.14708.

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

pith.paper-citation-record.v1
2505.14708 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:31.128174Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:30:07.774458Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:41.589584Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f3de4da-0692-434a-b28c-49db220f22d3 · outbound

This paper cites Scalable Diffusion Models with Transformers.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Scalable Diffusion Models with Transformers

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 493da4af-714f-4c56-a5f6-0af4716de24a · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance U-net: Convolutional networks for biomedical image segmentation

Reference 2

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source=pdf_text observed=2026-08-15T20:50:30.971477Z digest=sha256:1f2fb257b7b866ea0450471fccaab95bddbba3f448d3699b21b401e8206af22e

Observation f092d995-d094-4e59-bce4-54d380b7f480 · outbound

This paper cites Vivit: A video vision transformer.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Vivit: A video vision transformer

Reference 3

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no resolver link, observed 2026-08-15T20:50:30.976331Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:30.976331Z digest=sha256:254a147337a25986efcc670694c66ee91c72b87a8de6a71e07b3ffe8239c154f

Observation 22c293a0-a376-46c8-92e2-ef4bd4a4a13e · outbound

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

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 4

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no resolver link, observed 2026-08-15T20:50:30.981199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:30.981199Z digest=sha256:ef72e840e5177deb580cca90fe9e2cb52cbe957c7a33a30fe5a25d5142f73f1c

Observation a576ba34-5e96-474b-8039-b95c335e99b0 · outbound

This paper cites Hunyuanvideo: A systematic framework for large video generative models, 2024.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Hunyuanvideo: A systematic framework for large video generative models, 2024

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.740510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:30.986690Z digest=sha256:aa9746f8d24cbfc0d1b598f8210a8758e21484d5ccdfbbc3a161ee8d80b0a680

Observation 512e13d4-3656-4bc6-81fd-d15ebfc023fe · outbound

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

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Wan: Open and Advanced Large-Scale Video Generative Models

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:30.991891Z digest=sha256:6fce241c5cb04fc84b50456471164e50bb7a4edb336ffec6ba530c1b83690fd6

Observation 2e52d95b-c36e-425d-950f-9fd80e99bf8f · outbound

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

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Fu, Stefano Ermon, Atri Rudra, and Christopher Ré

Reference 7

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no resolver link, observed 2026-08-15T20:50:30.998274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:30.998274Z digest=sha256:2b5cea914eac3efc2e2adda344f4ab3d39c99ad9dcbea2e9491dca4b3bb95ca1

Observation 4424cb08-a267-4ccb-bc75-e7961949bd5f · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance H2o: Heavy-hitter oracle for efficient generative inference of large language models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.713196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.003413Z digest=sha256:20a5519e0d4ada3877473ce169560ca05e4404eac8b8b043516397d36b3b9e16

Observation 29d1818c-bd04-4dca-b308-b1fcfde7eeaf · outbound

This paper cites Quest: Query-aware sparsity for efficient long-context llm inference, 2024.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Quest: Query-aware sparsity for efficient long-context llm inference, 2024

Reference 9

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raw_fallback, observed 2026-08-15T20:50:31.696572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.008271Z digest=sha256:7495dd366a08f0c87c357581db701cf30486f5bfa499e84908f5cb126e00a0a0

Observation 24772265-a706-4805-aac2-7f1ef18fc6f6 · outbound

This paper cites Efficient streaming language models with attention sinks.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Efficient streaming language models with attention sinks

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9d52f5fc-395b-4627-9971-5e8ac040f980 · outbound

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

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, and Lili Qiu

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.667615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.017734Z digest=sha256:e01ac4172b976455214f902e172f56a9a5f76a20ee568290865f8a72ff2706d2

Observation 412910e7-a262-43b5-92e2-381847fc861e · outbound

This paper cites Language models are unsupervised multitask learners.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Language models are unsupervised multitask learners

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.650692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.022312Z digest=sha256:684bc860f26998a99776b7ef197f2461446f0db246b155738e1e277fe273a84a

Observation de03da2c-88b1-49e8-be49-bf062c0ad3f7 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance LLaMA: Open and Efficient Foundation Language Models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.027495Z digest=sha256:6466b52495db48b53c396c3895e481bc1e959bc389de5c8b399c188d52c8ba16

Observation 6d3f8f8f-4d9b-437d-b10b-5cd4528da883 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 14

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no resolver link, observed 2026-08-15T20:50:31.032615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.032615Z digest=sha256:e6f1d9bd41a7cda539b614a13a38cc14dad3d496c999ef747097a5741a559257

Observation 687329a7-687a-43ea-a736-77a82c2c45df · outbound

This paper cites The Llama 3 Herd of Models.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance The Llama 3 Herd of Models

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.037606Z digest=sha256:f5af164e0b6bb13b22674d3fd9d6220353dd07d110bf17e12b9d9de1b5d6e4ef

Observation 597935ef-4702-4e8c-b2f5-bb0c2900a916 · outbound

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

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.042863Z digest=sha256:030d1aa793ace14537c3002feca9b82243b70dd1777795f9690171965831623e

Observation 4cb213a9-7a32-433a-a981-7d6f6409ecc6 · outbound

This paper cites Training-free and Adaptive Sparse Attention for Efficient Long Video Generation.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 17

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no resolver link, observed 2026-08-15T20:50:31.048052Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.048052Z digest=sha256:bd4bc06479bab8cca4ff472755a2baa24088b309db404f3cc55adbf1da0e431d

Observation 59dc8912-081c-490d-a5d9-a1b6f3e46a44 · outbound

This paper cites Block Sparse Attention.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Block Sparse Attention

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.052823Z digest=sha256:6f1f698084b43a806f04941249c9cd992718d73db92fe67cf8b9001347cf3b5b

Observation 961c7a2d-26af-45d4-9584-5dcc57c83b39 · outbound

This paper cites Q-diffusion: Quantizing diffusion models.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Q-diffusion: Quantizing diffusion models

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.624441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.057507Z digest=sha256:a3f1bf633af7f999541560583f72b09db1029d25bd2ca4a491757cc1c9826163

Observation e90f4b9d-ed5e-4411-a1c6-950cd3ee37b0 · outbound

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

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Sageattention: Accurate 8-bit attention for plug-and-play inference acceleration

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.608210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.062262Z digest=sha256:9cba7bf853622b6dade828c228732c2a850b6974675366d7bbf6b6c72db59e44

Observation 99e64d2e-afde-414d-82f3-61f5b1a06155 · outbound

This paper cites Sageatten- tion2: Efficient attention with thorough outlier smoothing and per-thread int4 quantization.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Sageatten- tion2: Efficient attention with thorough outlier smoothing and per-thread int4 quantization

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.591431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.067099Z digest=sha256:c15dd9520c0dd3729ca652c979ebd76ee452ae7b1a90e43be1adaadc225e4543

Observation e22102af-95e1-494e-9a89-828e3895b042 · outbound

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

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Svdquant: Absorbing outliers by low-rank components for 4-bit diffusion models

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.071830Z digest=sha256:7c6d353719c95258ce6871ff00dcc8fb6c7f6303e8dd1113efc20990c7d2305c

Observation c0580a01-4866-4907-9945-ebefb0a0366b · outbound

This paper cites SANA: Efficient high-resolution text-to-image synthesis with linear diffusion transformers.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance SANA: Efficient high-resolution text-to-image synthesis with linear diffusion transformers

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.076330Z digest=sha256:f4103cc9d837c0407fbbabe3fbb10fe4428697dae03bbd8dcaafbcaef2e6b614

Observation b28a0591-054b-47ff-8f09-2bc21f72aa48 · outbound

This paper cites Deep compression autoencoder for efficient high-resolution diffusion models.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Deep compression autoencoder for efficient high-resolution diffusion models

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.554348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.080880Z digest=sha256:c0f195d668232b48d09429851dbbdfbcc1e59392dc53f0da8357d55218839053

Observation c716df06-ed97-407a-8934-e3af949a710b · outbound

This paper cites Snapfusion: Text-to-image diffusion model on mobile devices within two seconds.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Snapfusion: Text-to-image diffusion model on mobile devices within two seconds

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.538166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.085688Z digest=sha256:c6c2ac7042c1d482fe713ede80adb57080caea7b0ce981012a09203f0b4bc0a5

Observation 5c0f02b2-4f81-4183-ab62-25a98edae6d3 · outbound

This paper cites an unresolved cited work.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Unresolved cited work

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.090253Z digest=sha256:f56ca3bcfe1ce60baedb7ef96117cd487e14164e6bbbd5cb649c167af2ba46bc

Observation 85484885-488b-4a8c-8243-fdbeeae1fc99 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Generating Long Sequences with Sparse Transformers

Reference 27

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unresolved
no resolver link, observed 2026-08-15T20:50:31.094913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.094913Z digest=sha256:bf6120a591bad36f0cd9717a1a382703039931d353f82f5bae6c0b32e12a2a4a

Observation 7d3f0099-cf8a-4be4-92c9-346f8259db42 · outbound

This paper cites Duoattention: Efficient long-context LLM inference with retrieval and streaming heads.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Duoattention: Efficient long-context LLM inference with retrieval and streaming heads

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.510435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.099672Z digest=sha256:31e95aaa24b5164c20411cc48e03c6a6d123deabe281316eb9dbdfa11a42e841

Observation 9e154d41-5717-4ca3-aacd-d8873b40a9f1 · outbound

This paper cites XAttention: Block Sparse Attention with Antidiagonal Scoring.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance XAttention: Block Sparse Attention with Antidiagonal Scoring

Reference 29

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unresolved
no resolver link, observed 2026-08-15T20:50:31.104438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.104438Z digest=sha256:896a8401c2c6e00c71b0c4d7e9dba214c2a737c38c55b97fccb59e491f2353db

Observation ee4e5578-9194-4214-bf70-f0d09f4a9abe · outbound

This paper cites Distrifusion: Distributed parallel inference for high-resolution diffusion models.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Distrifusion: Distributed parallel inference for high-resolution diffusion models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.492756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.109702Z digest=sha256:00603eb21d1102905ba7f932094e4dcf69ecc8adb827a9e0f38f2bbddfd88c9f

Observation 76c31ee4-b838-4783-b1a6-e6b412a0e4f3 · outbound

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

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Svdqunat: Absorbing outliers by low-rank components for 4-bit diffusion models

Reference 31

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unresolved
no resolver link, observed 2026-08-15T20:50:31.114338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.114338Z digest=sha256:3e85716d8f3f178fbd9f269c6df6fed0a9f830a615d44e92692d89c6ca8c7a84

Observation 00bfca70-7b8c-44b5-9cdb-50f3ed11287b · outbound

This paper cites Timestep embedding tells: It’s time to cache for video diffusion model, 2024.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance Timestep embedding tells: It’s time to cache for video diffusion model, 2024

Reference 32

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unresolved
no resolver link, observed 2026-08-15T20:50:31.118995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.118995Z digest=sha256:4c88e83b7085a74c6fc9ba21010978ea00f11b42236f5f9a023da244e8a5d54c

Observation 419b60f1-e004-4429-985a-74b444da528f · outbound

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

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance VBench: Comprehensive benchmark suite for video generative models

Reference 33

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unresolved
no resolver link, observed 2026-08-15T20:50:31.123644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:31.123644Z digest=sha256:8f98e51dbb633a5d07874b76845c0c56e7a1f613cf3ed7c4ad241cce9328216d

Observation 584c3368-9945-4976-8870-65db8930f688 · outbound

This paper cites The unreason- able effectiveness of deep features as a perceptual metric.

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance The unreason- able effectiveness of deep features as a perceptual metric

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:50:31.454496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:50:31.128174Z digest=sha256:0876b73c1622595e8ae0604fad1415a112cb35448978672890980f5cc74be7ed

Pith citing papers

Observation 50e23bfc-c5d3-4358-aabe-afd98c177cb8 · inbound

Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering cites this paper.

Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:59:53.203881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T08:55:52.757489Z digest=sha256:0f639b0178319143ef3fce2e35bbc1e1015ee42f09f7ba1a92840f9d6e00eca0

Observation 180eb550-7228-4090-ac56-6fe410e950f9 · inbound

Ride the Wave: Precision-Allocated Sparse Attention for Smooth Video Generation cites this paper.

Ride the Wave: Precision-Allocated Sparse Attention for Smooth Video Generation DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:46:02.541898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T15:20:29.350915Z digest=sha256:71346dd944a1d90888fcb9e95e5a5f42b50dc202cc6a502f75e1d349a328d829

Observation 7c887364-5077-4b3d-8792-34b68027c946 · inbound

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

Efficient Video Diffusion Models: Advancements and Challenges DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Reference 118

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:03:25.830755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:34ab388819c355c0d80cec0c010bf0e36c7a30e59e526722ea8e4800a1194a36

Observation 2b99bcc8-7d6c-406a-9745-0c1b1af6d4e4 · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Reference 151

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:12:26.203599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:01c1d762ced0dd4ac83ad8463c696b65654b6526339fb29d057c6bb1b3103d80

Observation da10acec-124e-4ec7-bb8d-8c6b1dce5c42 · inbound

HEART: Exploiting Head Heterogeneity in Sparse Attention for Video Diffusion cites this paper.

HEART: Exploiting Head Heterogeneity in Sparse Attention for Video Diffusion DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T05:19:46.144604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T05:17:48.403406Z digest=sha256:20f38fc8778dcc3676fcd571f10582532e1f54ce9e24f7e9fa6e5ab6cf789bd4

Observation 6c3d4565-b009-4334-bb60-b7943576a7d3 · inbound

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation cites this paper.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:45:20.079705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:bf2e96a2af26d214797f3a6df67a3ff6c6443732758033c4d2664712e08b6f1d

Observation a44d3c0f-d115-40fe-bd0d-d46b0f72b286 · inbound

OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation cites this paper.

OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:03:14.480379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T07:56:40.001739Z digest=sha256:72716225a23add9fe9467062f7bd86858d02b2feb51c14859e797195413d3ca3

Observation f9ccb5cf-bbe5-4bf6-a3b0-9248869c1a6b · inbound

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

Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:41.591210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T11:05:44.972128Z digest=sha256:624cf7cb026bc01a27e2483a927ca93d283aca4a4ea1f05b8335150fcf7a249a

Observation 3160b14f-1b90-49be-90a6-baa026e53852 · inbound

ScAle: Attention Head Scaling as a Minimal Adapter for Spatial Reasoning in Vision Language Models cites this paper.

ScAle: Attention Head Scaling as a Minimal Adapter for Spatial Reasoning in Vision Language Models DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T07:14:21.592655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T07:06:36.599771Z digest=sha256:4837f766f01f1f6bf585b16e350cdbe817ffcbcf4c17eb6b5f373f3e9577ed09

Observation 72a11d85-c79c-4db8-9df3-262c0d805b44 · inbound

SCOPE: Subspace Clustering with Online Per-Head Top-K Estimation for Sparse Video Attention cites this paper.

SCOPE: Subspace Clustering with Online Per-Head Top-K Estimation for Sparse Video Attention DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T23:30:07.774458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:30:07.774458Z digest=sha256:7a718e0ef948371fcac732af127ad7e6bd11bfebc7c17c648836186b6d3dcabc