Paper Citation Record · LEDGER

Q-ARVD: Quantizing Autoregressive Video Diffusion Models

As of 5 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.21072.

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

pith.paper-citation-record.v1
2605.21072 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T05:29:04.061943Z

measured 31 of 31 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact5
verified fuzzy2
unresolved2
parse uncertain0
malformed identifier2
metadata mismatch20

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7ac2361-7180-4690-8853-4d754572d966 · outbound

This paper cites SkyReels-V2: Infinite-length Film Generative Model.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models SkyReels-V2: Infinite-length Film Generative Model

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.457025Z

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.

Observation 99bf7e73-df68-4971-a985-86a39cc4a11f · outbound

This paper cites InThe Thirteenth International Conference on Learning Representations.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models InThe Thirteenth International Conference on Learning Representations

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:29:39.460266Z

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.

Observation 85f50e8a-7243-45a5-ac8c-3b3dedc555c4 · outbound

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

Q-ARVD: Quantizing Autoregressive Video Diffusion Models LTX-Video: Realtime Video Latent Diffusion

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.465975Z

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.

Observation b6042bcc-01ff-4fc9-a603-dcc6c5036c85 · outbound

This paper cites PTQD: Accurate Post-Training Quantization for Diffusion Models.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models PTQD: Accurate Post-Training Quantization for Diffusion Models

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:29:39.448589Z

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.

Observation 923af81a-1624-447d-b4cb-532fb14a8e2a · outbound

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

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:29:39.469102Z

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.

Observation 7da8b877-a267-4473-9bd6-e776ccb75509 · outbound

This paper cites Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-02T02:03:37.193094Z

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.

Observation 36c512e7-a8bb-418b-8411-5205e685ccd6 · outbound

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

Q-ARVD: Quantizing Autoregressive Video Diffusion Models HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.451192Z

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.

Observation 3fcf69e8-06d1-4710-9ee2-357404c9365f · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.454191Z

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.

Observation 07be5c85-1f6c-434c-b1f2-1c1289355b5e · outbound

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

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Dvd-quant: Data-free video diffusion transformers quantization

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:29:39.472237Z

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.

Observation f7c5f622-ed2e-4fc1-ad29-fe7992a28057 · outbound

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

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.445707Z

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.

Observation 238d85dc-435c-4028-843a-ae66148cde3f · outbound

This paper cites Xiaofeng Mao, Zhen Li, Chuanhao Li, Xiaojie Xu, Kaining Ying, Tong He, Jiangmiao Pang, Yu Qiao, and Kaipeng Zhang.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Xiaofeng Mao, Zhen Li, Chuanhao Li, Xiaojie Xu, Kaining Ying, Tong He, Jiangmiao Pang, Yu Qiao, and Kaipeng Zhang

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:29:39.475264Z

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.

Observation 1e42b807-d31f-4410-a73c-9b5df5081d1e · outbound

This paper cites Yume-1.5: A text-controlled interactive world generation model.arXiv preprint arXiv:2512.22096.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Yume-1.5: A text-controlled interactive world generation model.arXiv preprint arXiv:2512.22096

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:29:39.514300Z

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.

Observation 8b7212af-f110-4f18-8364-3c194179c61f · outbound

This paper cites A White Paper on Neural Network Quantization.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models A White Paper on Neural Network Quantization

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:29:39.504794Z

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.

Observation b8426a55-3b22-4968-9e73-43c51b78afdd · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Movie Gen: A Cast of Media Foundation Models

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.518104Z

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.

Observation 518ebbd9-c1f3-47ef-bc78-a412c3032184 · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 1972–1981.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 1972–1981

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:29:40.285149Z

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.

Observation 7b532c1c-a222-4aba-92e3-7a6228e5c9dd · outbound

This paper cites Motionstream: Real-time video gen- eration with interactive motion controls.arXiv preprint arXiv:2511.01266.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Motionstream: Real-time video gen- eration with interactive motion controls.arXiv preprint arXiv:2511.01266

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:29:39.478469Z

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.

Observation 17f1d7ab-dfdf-4753-b6b8-d0a6683e3f1a · outbound

This paper cites Temporal Dynamic Quantization for Diffusion Models.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Temporal Dynamic Quantization for Diffusion Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:29:39.493277Z

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.

Observation 296701d5-0db2-4557-88f2-8af03a364c97 · outbound

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

Q-ARVD: Quantizing Autoregressive Video Diffusion Models WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.510945Z

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.

Observation 0e60f7e5-98c6-4166-ab6c-e4c7bf580d4d · outbound

This paper cites MAGI-1: Autoregressive Video Generation at Scale.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models MAGI-1: Autoregressive Video Generation at Scale

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.507959Z

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.

Observation b798abff-29a6-45ee-b9ef-c8fab17edf48 · outbound

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

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.481183Z

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.

Observation 17e664f2-8260-4796-a977-a035cee96cff · outbound

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

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.484155Z

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.

Observation a7a83167-a7b5-4fea-8bc1-4c19df01d55f · outbound

This paper cites HunyuanVideo 1.5 Technical Report.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models HunyuanVideo 1.5 Technical Report

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.498841Z

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.

Observation dc02fc6d-5f3f-4462-953d-68ec58fafe33 · outbound

This paper cites LongLive: Real-time Interactive Long Video Generation.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models LongLive: Real-time Interactive Long Video Generation

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:29:39.502080Z

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.

Observation 4bf0b093-2224-434f-8ce1-c039d1add5b9 · outbound

This paper cites Infinity-RoPE: Action-controllable infinite video generation emerges from autoregressive self- rollout.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Infinity-RoPE: Action-controllable infinite video generation emerges from autoregressive self- rollout

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:29:39.496418Z

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.

Observation b5e1f27a-af40-45fa-a6d5-150a64238f4b · outbound

This paper cites H., Nam, J., Yoon, H., and Kim, S.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models H., Nam, J., Yoon, H., and Kim, S

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:29:39.487058Z

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.

Observation 6c6d10a3-229d-477f-87d3-cd845f84843e · outbound

This paper cites Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T17:32:01.900965Z

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.

Observation c7ca833f-19cf-4abe-859c-cfc3c41ef301 · outbound

This paper cites an unresolved cited work.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Unresolved cited work

Reference 27

Resolution: malformed identifier; raw_fallback, observed 2026-05-21T05:29:40.283224Z

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.

Observation a95160b5-e446-458e-8f16-242b75468488 · outbound

This paper cites an unresolved cited work.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Unresolved cited work

Reference 28

Resolution: malformed identifier; raw_fallback, observed 2026-05-21T05:29:40.286778Z

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.

Observation d686f022-729f-499a-9b5f-cd7ccef0333d · outbound

This paper cites an unresolved cited work.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-21T05:29:40.288458Z

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.

Observation bb364d94-e0a6-4617-bfb1-0ba8279e3df4 · outbound

This paper cites We divide the quantization into two kernels.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models We divide the quantization into two kernels

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:29:40.281634Z

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.

Observation 9d7597ae-a6d1-4273-9e44-0f2b6299ae67 · outbound

This paper cites an unresolved cited work.

Q-ARVD: Quantizing Autoregressive Video Diffusion Models Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-21T05:29:40.279978Z

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.

Pith citing papers

No inbound Pith citation observations are available.