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Paper Citation Record · LEDGER

Efficient Video Diffusion Models: Advancements and Challenges

As of 5 August 2026, this Paper Citation Record lists 100 of 247 outbound references and 5 inbound Pith citation observations for arXiv:2604.15911.

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

pith.paper-citation-record.v1
2604.15911 v1

Coverage vector

measured 100 of 247 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T08:28:29.706249Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:21:42.964207Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T14:44:59.784480Z

Reference resolution

100 of 247 outbound references displayed

  • verified exact74
  • verified fuzzy1
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch9

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6cb11ff-f2dd-4448-84d9-abcb3ebe1bad · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 4

Resolution
verified exact
doi, observed 2026-05-10T08:32:51.475765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5107bd16-853b-43d2-9b25-147965fd2a6d · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 16

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unresolved
raw_fallback, observed 2026-05-21T00:29:18.709573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:788e9a3eafb3c0b61a826ba24985e8b0c643a74219f782caeb4d57316d7ccfdf

Observation 0ef97cae-6400-408f-ac71-639cc673a27d · outbound

This paper cites Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model.

Efficient Video Diffusion Models: Advancements and Challenges Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model

Reference 17

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metadata mismatch
arxiv_id, observed 2026-05-16T01:35:37.953991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation cb68eb4c-3880-4601-ad05-584af3301e49 · outbound

This paper cites Flex Attention: A Programming Model for Generating Optimized Attention Kernels.

Efficient Video Diffusion Models: Advancements and Challenges Flex Attention: A Programming Model for Generating Optimized Attention Kernels

Reference 28

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verified exact
arxiv_id, observed 2026-05-17T21:27:16.810492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:b445c938061bf164adda923c20d05c2026b104543eb23fdb936e3da1a23dcac0

Observation 7e31a1cc-38ca-41e4-812e-a2425576b388 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-05-21T00:29:18.783896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:e576745e71fb38f654799cf7f006176e0d7291c2bfc145ec2f13c771b67826a5

Observation 2e2b9595-9f78-4001-81b3-0b547409d3fd · outbound

This paper cites Mean Flows for One-step Generative Modeling.

Efficient Video Diffusion Models: Advancements and Challenges Mean Flows for One-step Generative Modeling

Reference 43

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verified exact
arxiv_id, observed 2026-05-11T14:29:30.500037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:2ee3fc55593604acc6567332148df2edda5abd09eccbdde5b31ff1e33829bd3a

Observation 1b7e4abf-2769-46e4-b3c1-7cd6fd80fa02 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 49

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unresolved
raw_fallback, observed 2026-05-21T00:29:18.795972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:84f63f158de7de7be9c20a5badc79395bb38a976b325399ddab3f778bb029b42

Observation 8ae1cea2-e815-4d5a-826e-7a54ad0e3767 · outbound

This paper cites LTX-2: Efficient Joint Audio-Visual Foundation Model.

Efficient Video Diffusion Models: Advancements and Challenges LTX-2: Efficient Joint Audio-Visual Foundation Model

Reference 50

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verified exact
arxiv_id, observed 2026-05-10T09:03:26.140118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:028ec92aee44b6baff6d2285c3dc7f9c27f4435b8a9db62cc31ed55fa5849f5f

Observation d7e81850-37df-4524-858b-4414a2a9029b · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-05-21T00:29:18.737994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:8e023a11ed23e94a71bf5b032125c5a227a90ec64525553d182beaee106c79c8

Observation b46f2542-f845-4766-9fe3-de0496f15eb0 · outbound

This paper cites Emogen: Emotional image content generation with text-to-image diffusion models.

Efficient Video Diffusion Models: Advancements and Challenges Emogen: Emotional image content generation with text-to-image diffusion models

Reference 57

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metadata mismatch
arxiv_id, observed 2026-05-10T08:32:51.534134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:d5b48e4e0cc80adefb57ed68b9cc9499abf4467b8a1fed256bdb6a373c7d9ad6

Observation 997df07c-d711-4a87-882a-d2c6c07d1d76 · outbound

This paper cites VBench++: Comprehensive and versatile benchmark suite for video generative models.IEEE Transactions on Pattern Analysis and Machine Intelligence.

Efficient Video Diffusion Models: Advancements and Challenges VBench++: Comprehensive and versatile benchmark suite for video generative models.IEEE Transactions on Pattern Analysis and Machine Intelligence

Reference 58

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verified exact
arxiv_id, observed 2026-05-10T08:32:51.550670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:42e75c46b1eff03da4186f022b697b4c10594165110ae2c0ca02521cfc867ada

Observation c75c244f-abe8-46d6-85b3-429107502496 · outbound

This paper cites Memflow: Flowing adaptive memory for consistent and efficient long video narratives.

Efficient Video Diffusion Models: Advancements and Challenges Memflow: Flowing adaptive memory for consistent and efficient long video narratives

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:26.312386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:07030ce13bcbdda557bdee98d608fc8e35b8bfea86b8e0dad52c8d332f7081bf

Observation 41fb8877-9314-4e70-8168-f7d697adbe0f · outbound

This paper cites LoViC: Efficient Long Video Generation with Context Compression.

Efficient Video Diffusion Models: Advancements and Challenges LoViC: Efficient Long Video Generation with Context Compression

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:26.289108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:a493db1c09a13a94c2f9e2642abeb04ef84a497bbcedd2568d605e31c5e73ded

Observation fb5036a9-917e-4597-b6e6-c6a95e92da7f · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954.

Efficient Video Diffusion Models: Advancements and Challenges Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954

Reference 61

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verified exact
arxiv_id, observed 2026-05-10T09:03:26.301417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:124dfb9fbd690ce3de05820252e74432794a0fa64934a5202030c13012c3c8e9

Observation 1eb1a56f-9037-4eef-8d29-a38996b7b4d7 · outbound

This paper cites Adaptive Caching for Faster Video Generation with Diffusion Transformers.

Efficient Video Diffusion Models: Advancements and Challenges Adaptive Caching for Faster Video Generation with Diffusion Transformers

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:26.123375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:41fc80a07ddefc8e87abbe3e48e5f4e39378bbd33543c8597263061fb2f6eef6

Observation 11fe4b24-8870-4afa-8f58-1e2c91dba338 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Efficient Video Diffusion Models: Advancements and Challenges A style-based generator architecture for generative adversarial networks

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:32:51.539455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:b9518d697c267668ab8f700cd9952956b9373b59aa4a28e60df374a663f1720e

Observation 2f294d63-0116-4b9e-bba8-7afd5bf3364b · outbound

This paper cites On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices.

Efficient Video Diffusion Models: Advancements and Challenges On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices

Reference 65

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verified exact
arxiv_id, observed 2026-05-10T09:03:26.202726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:d54c71af5bb22c57dd8639ede9f2a7446a089cc98971dca05c227ad5fb987d01

Observation 5b34ca9c-11d9-461d-ac55-bb7c9bf8a2af · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-05-21T00:29:18.811670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:33b044f7d697e48f74751bd571b4221abe8c8b8ed5f8eab849ca83071a6ca5af

Observation 602abd3d-403d-4e33-9815-ffd30f9c7ff7 · outbound

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

Efficient Video Diffusion Models: Advancements and Challenges HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 67

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verified exact
local_arxiv, observed 2026-05-10T09:03:26.207044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:6eeebcf63d3b66b5db7c28334ee7d4440ec9519c44b033c52fb157f672eaef6e

Observation 9b7b9c27-a98f-4bac-bde8-67b154ac7ef6 · outbound

This paper cites CausNVS: Autoregressive Multi-view Diffusion for Flexible 3D Novel View Synthesis.

Efficient Video Diffusion Models: Advancements and Challenges CausNVS: Autoregressive Multi-view Diffusion for Flexible 3D Novel View Synthesis

Reference 68

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verified exact
arxiv_id, observed 2026-05-10T09:03:26.190906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:8be79db9d304ec7e6e5484f5c84462c2ba0ae7bb610de921b2ff3c415bcead93

Observation cf65a83a-6753-46ee-a591-aefa94376b65 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 69

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unresolved
raw_fallback, observed 2026-05-21T00:29:18.774240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:cb95132a7f003637f0fcfed237ca588d63879178d16c7b176d50b20eabe56304

Observation bb190f0b-2231-4d00-a1aa-e98b0fff83ab · outbound

This paper cites Packcache: A training-free acceleration method for unified autoregressive video generation via compact kv-cache.arXiv preprint arXiv:2601.04359,.

Efficient Video Diffusion Models: Advancements and Challenges Packcache: A training-free acceleration method for unified autoregressive video generation via compact kv-cache.arXiv preprint arXiv:2601.04359,

Reference 70

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verified exact
arxiv_id, observed 2026-05-10T09:03:26.332142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:b8ab9a5a72802301dd8bc098c71d0ac3cfc41d72bfc257bb6392b48556a8b700

Observation c156d824-1899-4747-8656-ae0eee3595c8 · outbound

This paper cites Stable video infinity: Infinite-length video generation with error recycling.arXiv preprint arXiv:2510.09212.

Efficient Video Diffusion Models: Advancements and Challenges Stable video infinity: Infinite-length video generation with error recycling.arXiv preprint arXiv:2510.09212

Reference 71

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arxiv_id, observed 2026-05-10T09:03:25.850577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:3b5f53c5a364f2f519a483792e04c5984a79deab88593c06cb099245e96fac2f

Observation 54792a8f-8243-455d-ab20-e94c1ec3f001 · outbound

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

Efficient Video Diffusion Models: Advancements and Challenges Radial attention:O(nlogn)sparse attention with energy decay for long video generation

Reference 72

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.890937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:cc1147351b3de8ac736e2b1cc229244f4e6d184778e9af78c2b87a8f3c5cd40d

Observation caa989e9-cb56-467d-a827-597db89dda5d · outbound

This paper cites ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation.

Efficient Video Diffusion Models: Advancements and Challenges ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation

Reference 73

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.811343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:98b282dcd8cf6b6acf64b8fc28a9249caf55e6f632f2249551ae2c10503b0d69

Observation 17aa3bef-3de4-4335-823e-366d209ab586 · outbound

This paper cites Dvd-quant: Data-free video diffusion transformers quantization.

Efficient Video Diffusion Models: Advancements and Challenges Dvd-quant: Data-free video diffusion transformers quantization

Reference 74

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.766359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:9a9dd4403830ffb75bfcb2b012ce8e407b3bba4396770d1052743626e90ae676

Observation c3de68ca-2e53-448f-942d-f5eea42d0157 · outbound

This paper cites WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model.

Efficient Video Diffusion Models: Advancements and Challenges WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model

Reference 75

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.968671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:74c33eba48a69d1df2dbd41fc6c824500b6463262958a1a4e3b99f1f65083fac

Observation 749c4cec-7c25-4444-a4de-6381a8210bb0 · outbound

This paper cites Looking Backward: Streaming Video-to-Video Translation with Feature Banks.

Efficient Video Diffusion Models: Advancements and Challenges Looking Backward: Streaming Video-to-Video Translation with Feature Banks

Reference 76

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.783549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:27be7e784476203388236d08643396c4921e47b304a7229e4a41f5ea11d02877

Observation 9d7c7380-ac01-48cf-b742-e0a37b4d50c3 · outbound

This paper cites Diffusion adversarial post-training for one-step video generation.

Efficient Video Diffusion Models: Advancements and Challenges Diffusion adversarial post-training for one-step video generation

Reference 77

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.752356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:462701fded0c46e6b22730b82a720a970850cce88ef04a7e812b0d5cd9379e52

Observation 1599b5b1-74cd-45aa-acd8-ed782ac19fa2 · outbound

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

Efficient Video Diffusion Models: Advancements and Challenges FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion

Reference 78

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.773291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:ef333cf1dd77c095dc0c6c42846b223b358f1f12c93feb32c17b4755552d73a9

Observation 6fc5c324-c1af-4d14-9009-04bf10550042 · outbound

This paper cites Kwok, Sumi Helal, and Zeke Xie.

Efficient Video Diffusion Models: Advancements and Challenges Kwok, Sumi Helal, and Zeke Xie

Reference 79

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verified exact
doi, observed 2026-05-10T08:32:51.471564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:d30854e0f66591514617e6a3ad6e315cf158b2f3419253850f0fa661723da791

Observation 8d68663c-09fc-4a21-a73c-9b14a00e2174 · outbound

This paper cites Equivdm: Equivariant video diffusion models with temporally consistent noise.

Efficient Video Diffusion Models: Advancements and Challenges Equivdm: Equivariant video diffusion models with temporally consistent noise

Reference 80

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.758857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:6bb879dfcf5af565e3d93964a9b4b9b1d6752a60db12fe22bb72c02c71c55489

Observation 9506cb25-ab48-4296-a6a2-15da9791a2d5 · outbound

This paper cites arXiv preprint arXiv:2505.20353 (2025).

Efficient Video Diffusion Models: Advancements and Challenges arXiv preprint arXiv:2505.20353 (2025)

Reference 81

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arxiv_id, observed 2026-05-10T09:03:25.709352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:b4eb4bc5c975a1578381bc9dec61bf75040c09397e6efdcf5664e6981af0d13d

Observation 9f41f1c0-914a-48b3-8afa-8cbfaaee3650 · outbound

This paper cites Astraea: A token-wise acceleration framework for video diffusion transformers.arXiv preprint arXiv:2506.05096, 2025.

Efficient Video Diffusion Models: Advancements and Challenges Astraea: A token-wise acceleration framework for video diffusion transformers.arXiv preprint arXiv:2506.05096, 2025

Reference 82

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.675774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:7ccfc7f27ba67f197cb5a59d31fb596c41e83c8584eb272f91927366bf0af2fa

Observation 93334b1f-358c-4739-b607-536b83363fdb · outbound

This paper cites Hi-VAE: Efficient Video Autoencoding with Global and Detailed Motion.

Efficient Video Diffusion Models: Advancements and Challenges Hi-VAE: Efficient Video Autoencoding with Global and Detailed Motion

Reference 83

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arxiv_id, observed 2026-05-10T09:03:25.635122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:6db5eb8a888c7d37601c3c31dac353eab214bccd8487fae60f7da99c485dfe43

Observation 6f3af851-a7d0-4e89-b664-c0491ef7974c · outbound

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

Efficient Video Diffusion Models: Advancements and Challenges From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers

Reference 84

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.755645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:3e53053086e9cdd3043bc120834e32bcd098d907c795b45097a4ed196c7ff7c1

Observation f16359ef-6730-49e6-8aec-5d56aa8c7561 · outbound

This paper cites Rolling Forcing: Autoregressive Long Video Diffusion in Real Time.

Efficient Video Diffusion Models: Advancements and Challenges Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Reference 85

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verified exact
arxiv_id, observed 2026-05-16T11:15:29.350628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:e6f986df36ae3dd91e160c499ae2a7d3d5142bd9cf406d98462536c3bc7893be

Observation 8fc7cd8d-79f9-4927-af4a-0475c48f5877 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 86

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.907167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:1bf162689a6b8d539d69de51e508d5aa2a618cf60326ba54736725bb67b4b395

Observation ba5a6af6-328f-45a1-a722-b88ed70e78bb · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.745826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:9567eaac20a68d7850202f8c2a41e2e07412992be370290b7ce0d23d8725e97b

Observation 849f5c4b-d811-4d25-b4b8-aac49d5622ae · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-05-21T00:29:18.726742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:1f46c54601e8e2612eb2ba1627e0944624aef501ffe5e0c2fbcf3eab218b4b8b

Observation c435b7dd-636b-4ab6-b79c-d721cec01556 · outbound

This paper cites Free4D: Tuning-free 4D Scene Generation with Spatial-Temporal Consistency.

Efficient Video Diffusion Models: Advancements and Challenges Free4D: Tuning-free 4D Scene Generation with Spatial-Temporal Consistency

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.840232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:c03ffb25e9ded158bf1b74537489f49c27debe4bcc19c86c6b810466b53559d6

Observation 3c8ac99e-cda4-4ce9-a885-8e28b7882d5f · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Efficient Video Diffusion Models: Advancements and Challenges Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 90

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verified exact
arxiv_id, observed 2026-05-10T13:17:51.864594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:dadd0bf97d4a3539b762893981cc55a8fa4feb9e7684a37a0862ba24f069c17e

Observation b65c7fcf-188e-4c2e-acbe-ed8c85796e8a · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:32:51.519257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:4839034c5154408cccc3256ea83f307970547371b76390d0ac7db7a11f71f2b4

Observation e6efc42e-c1dd-427b-bd38-792a28a085c9 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:32:51.521723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:63268cc0f894c2991d6e56a42ca1a4ab8183fd7dbdf7d56d8843f7bc3d4eed54

Observation 89931edb-4006-4421-83fe-abdf5621cfe1 · outbound

This paper cites TalkingMachines: Real-Time Audio-Driven FaceTime-Style Video via Autoregressive Diffusion Models.

Efficient Video Diffusion Models: Advancements and Challenges TalkingMachines: Real-Time Audio-Driven FaceTime-Style Video via Autoregressive Diffusion Models

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.925005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:ff72d41915fb41010b7424edafa202c7274258e82e9a0f9db54d1c7ba81863a6

Observation 560ea10d-3f32-42cb-8721-53fb6e0358e0 · outbound

This paper cites 2025 , isbn =.

Efficient Video Diffusion Models: Advancements and Challenges 2025 , isbn =

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:32:51.512363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:8e3f15d1b1e935d21e80e7c7127950b79d09ff771a19656bbb3c4aa04052f4c3

Observation 94126aea-6a43-43dd-a8b7-8709866aa72b · outbound

This paper cites ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation.

Efficient Video Diffusion Models: Advancements and Challenges ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.689417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:d86de0077683f9d4c4bd4687fd05f13cf5c4e0fe3f3f17537f5c79d97b59e68d

Observation 18d3ac30-ebb6-4fab-9279-364752f364f7 · outbound

This paper cites Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation.

Efficient Video Diffusion Models: Advancements and Challenges Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.281442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:71dd8c18083696e0a36b8456d293ab8d61c2f57805f78a37eddcbcd26aaacaa4

Observation cac9cbc2-50fa-4c77-8bea-4e857f02dfdd · outbound

This paper cites Learning Few-Step Diffusion Models by Trajectory Distribution Matching.

Efficient Video Diffusion Models: Advancements and Challenges Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.737707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:7a3c5b0fb385c241d3bb4f183a42a166f0564ab9a34798e4eec16b34cc39e9ae

Observation 156551de-b836-402d-8b83-fbffec077739 · outbound

This paper cites Dual-Expert Consistency Model for Efficient and High-Quality Video Generation.

Efficient Video Diffusion Models: Advancements and Challenges Dual-Expert Consistency Model for Efficient and High-Quality Video Generation

Reference 98

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.933847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:788fc1e60eb915331334a342911256b1d0eaf540d40cd3d85d7e0b96773babfc

Observation b629b2a7-56d0-4cd0-8123-68a8811b1410 · outbound

This paper cites FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality.

Efficient Video Diffusion Models: Advancements and Challenges FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.780170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:7c3ae578e75f37eeb8ad268fd601834c1f39560d512588e74f3971ad3152e47e

Observation a0c1f447-6ba6-4461-a89f-a9e5ca911a87 · outbound

This paper cites Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model.

Efficient Video Diffusion Models: Advancements and Challenges Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:e9c154bd424d6ad9b75a010b6f06ac52951c17e0026a21afd92dd55683d24550

Observation 6c760191-0027-4b82-bc84-4c8e599f6881 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 101

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verified exact
arxiv_id, observed 2026-05-10T08:32:51.536656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:138d8a60a68d27e67d1d226cb3c9009e25367b40692328e29b0b2ba2d13d91d9

Observation 5396f2dd-b018-419b-b0a0-18c5ee5fb908 · outbound

This paper cites Magcache: Fast video generation with magnitude- aware cache.ArXiv, abs/2506.09045.

Efficient Video Diffusion Models: Advancements and Challenges Magcache: Fast video generation with magnitude- aware cache.ArXiv, abs/2506.09045

Reference 102

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arxiv_id, observed 2026-05-10T09:03:25.938229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:6cf348b7e347c7ec569b68a1cf773b808903716d6ccaeef23247e8c609e46c40

Observation 5c9ad3c7-7b3b-4fc5-b8c8-65c5e113bb72 · outbound

This paper cites 2025.Krea Realtime 14B: Real-time Video Generation.

Efficient Video Diffusion Models: Advancements and Challenges 2025.Krea Realtime 14B: Real-time Video Generation

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:29:18.714101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:e15ac8035a78907a79d5b5ca0535a12d04bb8c82fc0137883d54be72447b54b2

Observation 019c4449-42a8-41ed-bbb1-cfbc9c7401dd · outbound

This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

Efficient Video Diffusion Models: Advancements and Challenges OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 104

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verified exact
arxiv_id, observed 2026-05-14T20:34:53.267725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:a7d27bdafb7cfc18c08671eaf399b8a588379b2d61cffd5ae89f64162ad10dfd

Observation 8a93883f-9cc9-4f05-8644-369fa635d903 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 105

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unresolved
raw_fallback, observed 2026-05-21T00:29:18.807740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:54e3828c6d0495d637ae42ffe4238f1447385c35852aa29d981ec05db31c0bac

Observation fe266d65-184d-4c3d-bb29-5a3cdd3fffbf · outbound

This paper cites In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Efficient Video Diffusion Models: Advancements and Challenges In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 106

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metadata mismatch
arxiv_id, observed 2026-05-10T08:32:51.544816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:6f98918b83f85a76fef5d6ea1538452c8563e6b2e82e3cada4c1fe7f084fcdcb

Observation ea6f4825-5825-42d5-a8fd-c88688105fee · outbound

This paper cites Ertacache: Error rectification and timesteps adjustment for efficient diffusion.

Efficient Video Diffusion Models: Advancements and Challenges Ertacache: Error rectification and timesteps adjustment for efficient diffusion

Reference 107

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.698001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:ea91ee4b521ebb5281e5bb98f475f757cd16d81c8acd6751c2f3f0a5d6c43adf

Observation 893413e3-93b1-417b-970d-5fb97cfec91c · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 108

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.667493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:bda4158500f563c9cbbf674d179f4d23a2dcb667ed0a3a4aaaebd24dc44b2201

Observation ab2fe3a2-98d1-40f3-ac3c-19c0b4dc2073 · outbound

This paper cites FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling.

Efficient Video Diffusion Models: Advancements and Challenges FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.803970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:b973a26768b31b4c052262fb56740a74f1cc845d717753a7d1ceb1a357527138

Observation a1252ef0-c61f-4411-b75a-250093626758 · outbound

This paper cites Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers.

Efficient Video Diffusion Models: Advancements and Challenges Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers

Reference 110

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.769904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:1249aaee075d2136133036552685d69293f9388c789a56333787d949400edcfa

Observation 62c882f0-d359-480b-bcde-5af595441de4 · outbound

This paper cites Align Your Steps: Optimizing Sampling Schedules in Diffusion Models.

Efficient Video Diffusion Models: Advancements and Challenges Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Reference 111

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.886288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:ddfed09a1006aea99bba534bf28c4560af97887ec6cdd1143cf0df4723e2749d

Observation 00e59bb4-52eb-4042-bb7c-fed485920765 · outbound

This paper cites 2024 , isbn =.

Efficient Video Diffusion Models: Advancements and Challenges 2024 , isbn =

Reference 112

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:32:51.542243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:fae5d9538424a592cd87ee122a673f2687e4376de70b2a36bc5218b951d0f116

Observation 149b5e37-b45a-46de-a6a1-99cc36ab449b · outbound

This paper cites Adversarial diffusion distillation.

Efficient Video Diffusion Models: Advancements and Challenges Adversarial diffusion distillation

Reference 113

Resolution
verified exact
doi, observed 2026-05-10T08:32:51.546634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:51cefd95f2246e3ab4afd54cad61de52054859aaa566cb78db61c5ab67e98d34

Observation 26731457-b28b-4a3e-92e1-be8fc63bbef8 · outbound

This paper cites MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis.

Efficient Video Diffusion Models: Advancements and Challenges MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis

Reference 114

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.826164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:ca54ed5732285030a7ac51e5c1d260e6b615b391090ee71309348258497f5de4

Observation 97528e2b-d79c-4829-a2aa-19f5bc907da0 · outbound

This paper cites TR-DQ: Time-Rotation Diffusion Quantization.

Efficient Video Diffusion Models: Advancements and Challenges TR-DQ: Time-Rotation Diffusion Quantization

Reference 115

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.796783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:35a25436d5d9c597a39bc590994afd682a9f91bb7ea1c6490b53d227790817f5

Observation 1a01716f-2d60-4b9f-b518-08823d62c411 · outbound

This paper cites Fastvid: Dynamic density pruning for fast video large language models.

Efficient Video Diffusion Models: Advancements and Challenges Fastvid: Dynamic density pruning for fast video large language models

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.776761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:c8ae5ba4300102a3ed399ba5f9cfed938442fe2eec1efbe6bb668bf414dadc64

Observation d6d50871-b019-47a9-b4ea-769db90f72f6 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 117

Resolution
unresolved
raw_fallback, observed 2026-05-21T00:29:18.800438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:d5dd36de631ce842c904e19f47c39cae026c2fcaba23b9146928b196f69d0b06

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

This paper cites DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance.

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

Reference 118

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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 2026-08-05T06:32:48.257954+00:00.

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Observation 9d93b6f5-2923-4139-a5e9-b0ea822decaf · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 119

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raw_fallback, observed 2026-05-21T00:29:18.760902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:7bec56e2ec67fcde5a418149e3d784e2c71b1e9d26deac4a36e257ffacf662ae

Observation 441085f4-7e05-4e18-a359-50638c4f4840 · outbound

This paper cites In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, W A, USA, June 16-22.

Efficient Video Diffusion Models: Advancements and Challenges In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, W A, USA, June 16-22

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doi, observed 2026-05-10T08:32:51.485673Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:5542fab21905c4d6ac225eb149c0062ea1d92720f67f8de3b59d1e638f27f076

Observation e855573d-a003-4fec-b3d2-f0f4899bd09e · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 121

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:9b57a163f5ae61e21bf97502f4569e24f57865e763f75b4e04d01643e9142444

Observation ac10daa0-8ffd-44d2-a8ad-376540aad55d · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 122

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raw_fallback, observed 2026-05-21T00:29:18.767963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:c21b725c3b169a1c032ee371c6e07cf36fbf1b6fd6d54426e8e3dfcc5d02324a

Observation f0336dfd-f741-4152-83ba-31375a187677 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 123

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raw_fallback, observed 2026-05-21T00:29:18.815435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:464528bc8858815451094f9fc919e51ec5fd24f351cbf6d5f917eccb08fdf9d7

Observation d2311d1d-ae2a-4d2c-8ab3-e1adbd85de50 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Efficient Video Diffusion Models: Advancements and Challenges UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 124

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arxiv_id, observed 2026-05-11T01:25:00.378223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:7cbb9f0360c933af1b58ed310cafc2dc052874885a24b1a7a23acf6d3058f881

Observation b062e6b7-b05b-4781-842c-ebd89b9d1edd · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 125

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unresolved
raw_fallback, observed 2026-05-21T00:29:18.734236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:091800525d522912a170d3c22b6d526c9e7bf4c402faf3bc2878206997e5fff8

Observation 5a2dd052-a741-4c05-a9ba-5aa205d86d06 · outbound

This paper cites In: Pro- ceedings of the 7th ACM International Conference on Multimedia in Asia, pp.

Efficient Video Diffusion Models: Advancements and Challenges In: Pro- ceedings of the 7th ACM International Conference on Multimedia in Asia, pp

Reference 126

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arxiv_id, observed 2026-05-10T08:32:51.474083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:4a01bfc09bab3d7edd7b393310ed0f91e8b1b00112ac9a6d41e3465865a1469d

Observation ca5b3d42-cff2-4217-ac81-0fa9e7d0672c · outbound

This paper cites V orta: Efficient video diffusion via routing sparse attention.arXiv preprint arXiv:2505.18809.

Efficient Video Diffusion Models: Advancements and Challenges V orta: Efficient video diffusion via routing sparse attention.arXiv preprint arXiv:2505.18809

Reference 127

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arxiv_id, observed 2026-05-10T09:03:25.663093Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:fd78798bb354b7186d35fd7925902727b2447deb78d7089a5b2501cb2a9ad38e

Observation 68636bdb-7d7a-4d41-b92e-b1d75b1451df · outbound

This paper cites AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration.

Efficient Video Diffusion Models: Advancements and Challenges AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration

Reference 128

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arxiv_id, observed 2026-05-10T09:03:25.818393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:91d765d06ca55229787f5d7338b53b3312a3cd6babe80f2cb6a08e6c56759d5d

Observation 815d1ffe-c078-4b43-a980-9e999279368c · outbound

This paper cites WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling.

Efficient Video Diffusion Models: Advancements and Challenges WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Reference 129

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arxiv_id, observed 2026-05-15T14:29:56.653297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:e92a9ac82d92f2f597045bf51b0501a6891d7830d303f3699a4390f47c5860ef

Observation 9e6101d5-ac58-4c64-9795-24e7914e882f · outbound

This paper cites Unveiling Redundancy in Diffusion Transformers (DiTs): A Systematic Study.

Efficient Video Diffusion Models: Advancements and Challenges Unveiling Redundancy in Diffusion Transformers (DiTs): A Systematic Study

Reference 130

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arxiv_id, observed 2026-05-10T09:03:25.728051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:07c549723fc4c6ff4d63a657f1ba5e5e02d1593c05520d3cc502e491b6cddfde

Observation 676e08a0-3ba4-4252-91fe-ea6fea5f4500 · outbound

This paper cites arXiv preprint arXiv:2511.06953 (2025).

Efficient Video Diffusion Models: Advancements and Challenges arXiv preprint arXiv:2511.06953 (2025)

Reference 131

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arxiv_id, observed 2026-05-10T09:03:25.947527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:26e09495a5845732a3e000c7fea9560318780aef5504c39939b13ff6add94167

Observation d661c461-812d-4a69-ac57-6ba9e3a2af71 · outbound

This paper cites Training-free Diffusion Acceleration with Bottleneck Sampling.

Efficient Video Diffusion Models: Advancements and Challenges Training-free Diffusion Acceleration with Bottleneck Sampling

Reference 132

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arxiv_id, observed 2026-05-10T09:03:25.858218Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:29f2e8e83e6e5300ae9ae2ce9ee80e3e5c5e582c8ab4431d6c54c321aff1e546

Observation c3a96f83-9281-40c7-acd6-b881f1407ff1 · outbound

This paper cites T., and Cox, D.

Efficient Video Diffusion Models: Advancements and Challenges T., and Cox, D

Reference 133

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arxiv_id, observed 2026-05-10T08:32:51.478559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:5a0d50d0ddf3a18cc730415fc8b26d4d7cd62a2102c51b701fd80b232409bfa6

Observation 320eda9b-99b7-44db-a0f3-2dcc350bdbb5 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Efficient Video Diffusion Models: Advancements and Challenges Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 134

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arxiv_id, observed 2026-05-11T07:21:21.605786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:c30b09203ceda59b092ddbb3ad060e45c10d57fa7344d837e973ae995b765c2d

Observation 659cf9aa-8f94-4876-a963-0adb95dd01a8 · outbound

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

Efficient Video Diffusion Models: Advancements and Challenges TileLang: A Composable Tiled Programming Model for AI Systems

Reference 135

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arxiv_id, observed 2026-05-10T09:03:25.980485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:b2296cde0c3acfa31353e235667aeb53f2293120aa690a4d117eb10ee26d7311

Observation ae101fc0-a01b-4ba8-9089-b4ddaeb207f5 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 136

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.929074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:b7edc29b2a47a77ee3f3b5bc88b928c9e8aeefe91c185599d26ef6b0f4971fbc

Observation 454a408e-0199-4c18-ba13-ae1c39c62372 · outbound

This paper cites LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s.

Efficient Video Diffusion Models: Advancements and Challenges LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s

Reference 137

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arxiv_id, observed 2026-05-10T09:03:25.623144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:d4166eb080416ca19690800e7ec4466b63645726678b49ebb9ff5e99d7d12535

Observation 9880a889-de83-448c-9605-0b528956d1c3 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 138

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doi, observed 2026-05-10T08:32:51.493241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:c9328e42d8fab1b19bf3a330faa806a25eee5b5a6ead73109e80395dc81eb1ec

Observation 514e6c50-0250-4130-b241-8ae01fe55418 · outbound

This paper cites VideoLCM: Video Latent Consistency Model.

Efficient Video Diffusion Models: Advancements and Challenges VideoLCM: Video Latent Consistency Model

Reference 139

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arxiv_id, observed 2026-05-10T09:03:25.942840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:13dd39da38eb2de0570b4ed8cf0374b9e82582a258283d38458328893c8046ce

Observation 5fdbd807-95c1-4a22-bf73-1d5f98be957a · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 140

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unresolved
raw_fallback, observed 2026-05-21T00:29:18.741739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:d6a764bc452f38a174cbce5ed4ac4997c212a910128fd2f670233302145b6001

Observation 268f6835-4f35-4178-81fc-2da50be427f4 · outbound

This paper cites Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation.

Efficient Video Diffusion Models: Advancements and Challenges Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation

Reference 141

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arxiv_id, observed 2026-05-10T09:03:25.693919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:95f5d61ecda4dea55260e4d362024ee1bd5e9769df80382f4050df6a53378e16

Observation 298f3ad6-da76-4d13-960c-343e4a84a0fd · outbound

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

Efficient Video Diffusion Models: Advancements and Challenges Wan: Open and Advanced Large-Scale Video Generative Models

Reference 142

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local_arxiv, observed 2026-05-10T09:03:25.871293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:dc545148e799c73925cd554c157ed401557c9415e6af736f420a7874d4d70dfb

Observation 71ec50c7-d51f-4c10-9d6c-52f61c2d2d2e · outbound

This paper cites Adaptive hybrid caching for efficient text-to-video diffusion model acceleration.

Efficient Video Diffusion Models: Advancements and Challenges Adaptive hybrid caching for efficient text-to-video diffusion model acceleration

Reference 143

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arxiv_id, observed 2026-05-10T09:03:25.742061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:f95d5be03b2508486e9c6d1ba824bed08490b15c2112e1264847c0e559e9d307

Observation dbfd3aa6-ccf0-4b84-a10c-9040a5ecd5e8 · outbound

This paper cites HunyuanVideo 1.5 Technical Report.

Efficient Video Diffusion Models: Advancements and Challenges HunyuanVideo 1.5 Technical Report

Reference 145

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arxiv_id, observed 2026-05-15T02:31:35.128127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:ad219b4f7a4180d2c3ff800ee7ffe7d79d2b98ac437d8c64ef661468ad23a016

Observation 39148f5e-8828-4305-8274-2f9fa89e7d78 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 146

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doi, observed 2026-05-10T08:32:51.531962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:342ee1fe0fb6aa73ba1b85123b5a6edd39f07d870cca66ccdb87ff18decbc097

Observation 4fc7915a-b5ad-48dd-b56a-7297a6536bb5 · outbound

This paper cites In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Efficient Video Diffusion Models: Advancements and Challenges In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 147

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metadata mismatch
arxiv_id, observed 2026-05-10T08:32:51.508323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:e37a86043f3472d5889574144bff964870586ede32ce895d91f4bf900cab70db

Observation 0308f0f6-c276-4cb3-9e70-bcfcf18b8ce4 · outbound

This paper cites VMoBA: Mixture-of-Block Attention for Video Diffusion Models.

Efficient Video Diffusion Models: Advancements and Challenges VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 148

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arxiv_id, observed 2026-05-10T09:03:25.899156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:993e1bb371debc8952565060738c04aa83c2ce945c8037a6abc00db52da3c67d

Observation b0ad13d7-c0c1-4cdf-9fc3-103c26a0c331 · outbound

This paper cites an unresolved cited work.

Efficient Video Diffusion Models: Advancements and Challenges Unresolved cited work

Reference 149

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unresolved
raw_fallback, observed 2026-05-21T00:29:18.749126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:8fff17a49d12ca7ea3aa70a3cddccfe2d39a69cde44a94f656be916612730a96

Pith citing papers

Observation fdd7e628-8c1a-400d-8899-e23f24b0717f · inbound

Exploring Data-Free LoRA Transferability for Video Diffusion Models cites this paper.

Exploring Data-Free LoRA Transferability for Video Diffusion Models Efficient Video Diffusion Models: Advancements and Challenges

Reference 41

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metadata mismatch
local_arxiv, observed 2026-05-11T16:21:10.306782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-09T17:12:59.632210Z digest=sha256:6fbf02e837d8f9ed24948afbc8fa8fdbd857722f7b7b848edbb639d2e320f9c3

Observation 1044ce48-1973-4d22-ba89-b59f248a7086 · inbound

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention cites this paper.

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention Efficient Video Diffusion Models: Advancements and Challenges

Reference 37

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verified exact
local_arxiv, observed 2026-07-01T00:25:09.328133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-01T00:24:30.573122Z digest=sha256:2ef9e7f08ca14debb504da691e6b482823827b94acf7f2b1b08e60af0ffba25f

Observation e670727a-1949-46f3-b617-4c777b83d4e4 · inbound

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

MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model Efficient Video Diffusion Models: Advancements and Challenges

Reference 38

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verified exact
local_arxiv, observed 2026-07-03T20:48:55.745991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T01:09:02.214590Z digest=sha256:e9ee3cb7d4216f4da4f400e156c519804e37871028a03ca47faaaa380001e8b3

Observation e56bb1e5-207c-4aa5-832a-efde5ef760fd · inbound

MobileWan: Closing the Quality Gap for Mobile Video Diffusion cites this paper.

MobileWan: Closing the Quality Gap for Mobile Video Diffusion Efficient Video Diffusion Models: Advancements and Challenges

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-08T14:44:59.785701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-08T14:37:46.957265Z digest=sha256:220a6d05c5d422f0399f9e3a04b9a970e87af027b7bd354444e25b903a654452

Observation c1bb6a8d-a37d-4065-9b0e-01ac40fccbad · inbound

MobileWan: Closing the Quality Gap for Mobile Video Diffusion cites this paper.

MobileWan: Closing the Quality Gap for Mobile Video Diffusion Efficient Video Diffusion Models: Advancements and Challenges

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T08:21:42.964207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:21:42.964207Z digest=sha256:c2fb943a2034a906a8dc14b7116f3ae6ee5b3aff8ab4958e6f5f3d129714b89c