Paper Citation Record · LEDGER

Rolling Diffusion Models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2402.09470.

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

pith.paper-citation-record.v1
2402.09470 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T03:20:56.762717Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T03:24:28.750000Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ec195cdd-5671-4751-8376-87ac07353922 · inbound

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation cites this paper.

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation Rolling Diffusion Models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:39:54.209098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef5f3189-282d-4fa1-abb8-16c3f9e13aa3 · inbound

End-to-End Training for Autoregressive Video Diffusion via Self-Resampling cites this paper.

End-to-End Training for Autoregressive Video Diffusion via Self-Resampling Rolling Diffusion Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T15:46:10.512613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca9fe629-feed-4c68-b29e-b773d41fc0e9 · inbound

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing cites this paper.

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing Rolling Diffusion Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:23:21.458251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e1481e73-2c88-49f6-89d6-41fa18d114fc · inbound

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing cites this paper.

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing Rolling Diffusion Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-13T14:19:58.645410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90d9a69d-d89f-44e0-958d-e27e4a075ad9 · inbound

Autoregressive One-Step Generative Modeling for Dynamical System Forecasting cites this paper.

Autoregressive One-Step Generative Modeling for Dynamical System Forecasting Rolling Diffusion Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T14:48:34.936700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b60744d-91f1-4156-90dc-dfc1ed862159 · inbound

Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling cites this paper.

Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling Rolling Diffusion Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:12:50.831069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 262315a4-471a-45eb-b3a0-abbc2c0a2d77 · inbound

Recursive Flow Matching cites this paper.

Recursive Flow Matching Rolling Diffusion Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:23:53.869833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c89ce3c-a532-402a-b31d-37243d54f4e8 · inbound

AR Forcing: Towards Long-Horizon Robot Navigation World Model cites this paper.

AR Forcing: Towards Long-Horizon Robot Navigation World Model Rolling Diffusion Models

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:56:10.900098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 996f3190-71e4-437a-b65f-ef83daac4121 · inbound

AsyncPatch Diffusion: spatially-flexible image generation cites this paper.

AsyncPatch Diffusion: spatially-flexible image generation Rolling Diffusion Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:37:09.227681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 80f8d99a-2fba-4a62-af00-1fa453169347 · inbound

Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions cites this paper.

Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions Rolling Diffusion Models

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:37:29.766272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c59d415-ebb5-473f-ba93-f0830ce8abed · inbound

FacePlex: Full-Duplex Joint Speech-Facial Motion Generation for Conversational Avatars cites this paper.

FacePlex: Full-Duplex Joint Speech-Facial Motion Generation for Conversational Avatars Rolling Diffusion Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:44:19.379717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ead17ed3-e128-4a5f-9a27-20dda97a04a5 · inbound

DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation cites this paper.

DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation Rolling Diffusion Models

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:55:42.280505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 957a5aa0-1267-4d93-9bbd-daf764aac92b · inbound

DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation cites this paper.

DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation Rolling Diffusion Models

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T21:58:58.425437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c2e79794-6b87-4dda-ad37-fe9f8ecbfa55 · inbound

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation cites this paper.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Rolling Diffusion Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.751474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ec96f945-ee90-42ba-a3ea-e6999b021228 · inbound

Surprise Forcing: What to Remember, When to Skip in Long Video Generation cites this paper.

Surprise Forcing: What to Remember, When to Skip in Long Video Generation Rolling Diffusion Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T15:29:45.335870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 072925ff-0fba-4e55-bee1-b6c25448317f · inbound

Diffusion ReRoll: Revisable Denoising for Robotic Sequential Prediction cites this paper.

Diffusion ReRoll: Revisable Denoising for Robotic Sequential Prediction Rolling Diffusion Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T11:24:27.713695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25941fc5-7713-4c98-b0c5-57b0b8c6f187 · inbound

FreqForcing: Autoregressive Long Video Generation via Spectral Self-Anchoring cites this paper.

FreqForcing: Autoregressive Long Video Generation via Spectral Self-Anchoring Rolling Diffusion Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-30T11:31:16.393596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7674eb9-ba3c-462d-9a3b-e7615ff33ef1 · inbound

FreqForcing: Autoregressive Long Video Generation via Spectral Self-Anchoring cites this paper.

FreqForcing: Autoregressive Long Video Generation via Spectral Self-Anchoring Rolling Diffusion Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T03:20:56.762717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b3fee9-2457-4ce0-9825-a8d09c95a90d · inbound

Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens cites this paper.

Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens Rolling Diffusion Models

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-03T08:35:54.343141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2783eda-e28c-4f76-aa87-1de30a366a63 · inbound

LeapTalk: Breaking the Latency-Quality Trade-off in Talking Head Generation cites this paper.

LeapTalk: Breaking the Latency-Quality Trade-off in Talking Head Generation Rolling Diffusion Models

Reference 116

Resolution: unresolved; no resolver link, observed 2026-08-04T01:32:13.155371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.