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Paper Citation Record · LEDGER

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

As of 5 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 40 inbound Pith citation observations for arXiv:2512.04678.

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

pith.paper-citation-record.v1
2512.04678 v2

Coverage vector

measured 99 of 99 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T18:17:54.943863Z

measured 139 of 139 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 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:17:50.740054Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T23:59:07.563782Z

Reference resolution

99 of 99 outbound references displayed

  • verified exact62
  • verified fuzzy32
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d71dc16-88ec-4fb1-9fa6-c2fe2453ec85 · outbound

This paper cites Qwen2.5-VL Technical Report.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Qwen2.5-VL Technical Report

Reference 1

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verified exact
local_arxiv, observed 2026-05-16T18:17:55.046758Z

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=2026-05-16T18:17:54.943863Z digest=sha256:d8ec5e14710b6c380dba9533c9f2bcfba3d3e8108cc606da4d7f3ed19d628ef9

Observation 63cad0da-3e2d-4bdd-8df8-e35fdb68cc2f · outbound

This paper cites an unresolved cited work.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-05-16T18:17:55.201238Z

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 ccd9331d-8d27-4caf-985c-b8e5fe569a69 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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verified exact
local_arxiv, observed 2026-05-16T18:17:55.108989Z

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=2026-05-16T18:17:54.943863Z digest=sha256:4be785eb90050dab515b16c6977948743eb4fa8e1695ea5193e9db017d108da4

Observation 2d943acc-5ef2-46eb-a061-27db6a5f567b · outbound

This paper cites Video generation models as world simulators.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Video generation models as world simulators

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.205862Z

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=2026-05-16T18:17:54.943863Z digest=sha256:03fa39c7e90ebe1e382ba2f4d8cab1fbbdf2091718856574c7387446a4253fc3

Observation 9f5f2eb9-e380-41f6-8387-72b8dca5ec5a · outbound

This paper cites Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

Reference 5

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verified exact
arxiv_id, observed 2026-05-16T18:17:55.112233Z

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=2026-05-16T18:17:54.943863Z digest=sha256:52a654b79ab0b71c3e7fa9355f8cb9bc45ed1218cea99a15448bdc4fffe16154

Observation f881b78e-cb67-493c-b7e8-b20d48887c07 · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffu- sion.Advances in Neural Information Processing Systems, 37:24081–24125.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Diffusion forcing: Next-token prediction meets full-sequence diffu- sion.Advances in Neural Information Processing Systems, 37:24081–24125

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.210758Z

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=2026-05-16T18:17:54.943863Z digest=sha256:ae6ad339f27aab59b1c7b417d1e7bee0cb984447c5a35f964210946b9d93e413

Observation 801166d8-bf56-4533-ad31-d01ea73124fd · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation SkyReels-V2: Infinite-length Film Generative Model

Reference 7

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local_arxiv, observed 2026-05-16T18:17:55.115616Z

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=2026-05-16T18:17:54.943863Z digest=sha256:d8e23f41e1a1362bbb809019085e3f9d3e403601019ff4f823b40cb3a659f863

Observation 4a4d34ff-8602-4496-9c66-5c01e7acaa49 · outbound

This paper cites LongAnimation: Long Animation Generation with Dynamic Global-Local Memory.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation LongAnimation: Long Animation Generation with Dynamic Global-Local Memory

Reference 8

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arxiv_id, observed 2026-05-16T18:17:55.118925Z

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=2026-05-16T18:17:54.943863Z digest=sha256:032ff25b80a2d36e24872a7ec38b722a8f9c42be7841458a52fb076a761d9138

Observation a66177f3-2990-41bb-a2ae-b7332cfa1fe3 · outbound

This paper cites Seine: Short-to-long video diffu- sion model for generative transition and prediction.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Seine: Short-to-long video diffu- sion model for generative transition and prediction

Reference 9

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verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.218337Z

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=2026-05-16T18:17:54.943863Z digest=sha256:3ad62918c92472a900813f32144a1cb839c8bb71994d78b2463f2970bb6b18bd

Observation 292e7739-69b1-4ae3-80d1-b62d4dad8a1c · outbound

This paper cites VPO: Aligning Text-to-Video Generation Models with Prompt Optimization.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation VPO: Aligning Text-to-Video Generation Models with Prompt Optimization

Reference 10

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arxiv_id, observed 2026-05-16T18:17:55.121939Z

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=2026-05-16T18:17:54.943863Z digest=sha256:705a68612f295990c0195682ddfd12d6cdeb1dc6aab7c68ceca47f8d9a9d6efe

Observation d2602082-3003-4c3f-8301-f6593be4d55c · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

Reference 11

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verified exact
local_arxiv, observed 2026-05-16T18:17:55.125698Z

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=2026-05-16T18:17:54.943863Z digest=sha256:1479c8f6fe4d67fd865139e500afbfc5a970a222bcae6cfbd6518d39c7489777

Observation d59a7fa9-2c57-446d-a3c8-b20423e3eee2 · outbound

This paper cites One-minute video generation with test-time training.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation One-minute video generation with test-time training

Reference 12

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raw_fallback, observed 2026-05-16T18:17:55.225976Z

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=2026-05-16T18:17:54.943863Z digest=sha256:ce7f717208ae38b8eae9a07ca895a48ae01b8131be6f4fa4eea6adba2792a569

Observation 751c4310-f2ca-4380-9db0-e277bdeec8e1 · outbound

This paper cites Autoregressive Video Generation without Vector Quantization.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Autoregressive Video Generation without Vector Quantization

Reference 13

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verified exact
arxiv_id, observed 2026-05-17T15:07:39.939813Z

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=2026-05-16T18:17:54.943863Z digest=sha256:b843b44be83d3ddea50cc5610e158558ffe1e13d840f9756c467a5234e3f5afd

Observation 50b465a4-ea62-4fcb-a01c-2c9c5c6f5c2f · outbound

This paper cites InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO

Reference 14

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verified exact
arxiv_id, observed 2026-05-16T18:17:55.131993Z

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=2026-05-16T18:17:54.943863Z digest=sha256:7791e62ef150470f1555f83e61f32b7c4b62d7cc5a5a11dd2eb87f9b8da757f1

Observation 388a143a-0865-4ea0-bba1-c18763e1c939 · outbound

This paper cites The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control

Reference 15

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arxiv_id, observed 2026-05-16T18:17:55.135100Z

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=2026-05-16T18:17:54.943863Z digest=sha256:f0e3fb6bf2f1b914db436b22ba389fbc038aa617831f47e2716ff92d77b47097

Observation b78a2eae-a8d6-451b-a860-74df8a60d370 · outbound

This paper cites Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback

Reference 16

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local_arxiv, observed 2026-05-16T18:17:55.138456Z

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=2026-05-16T18:17:54.943863Z digest=sha256:5948ab130d9973a169e27314074736afd2d1fe9ee049b457ae59b9580fede964

Observation d09e4ae7-2600-4eda-b4c2-2e12f95966e5 · outbound

This paper cites FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model

Reference 17

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arxiv_id, observed 2026-05-16T18:17:55.141954Z

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=2026-05-16T18:17:54.943863Z digest=sha256:550bd1ddc733c1883be63c51f79442f7494b8d3fe8b48263bb277bdda900f77c

Observation 32c2d84d-96ce-47c0-acd0-0c2a33656c72 · outbound

This paper cites LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation

Reference 18

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arxiv_id, observed 2026-05-16T18:17:55.145189Z

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=2026-05-16T18:17:54.943863Z digest=sha256:30255c60b24537ac859d6339425a9ffa8fed3d278df7b56d33d169a153eb022c

Observation a178e001-4b93-4b05-af1d-ad038651c2e5 · outbound

This paper cites Seedance 1.0: Exploring the Boundaries of Video Generation Models.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Seedance 1.0: Exploring the Boundaries of Video Generation Models

Reference 19

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local_arxiv, observed 2026-05-16T18:17:55.148099Z

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=2026-05-16T18:17:54.943863Z digest=sha256:a280422934f23264dc5868156d89fa746f1943e6aafb576d23775de26a580a00

Observation 88343b13-2bee-4f7e-a5fc-0549eb5a8935 · outbound

This paper cites Long-Context Autoregressive Video Modeling with Next-Frame Prediction.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Reference 20

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arxiv_id, observed 2026-05-16T23:05:17.562899Z

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=2026-05-16T18:17:54.943863Z digest=sha256:6a57c65647c5250f09288a2831488570668212a915c915ca2ef860520666620a

Observation deebd76c-ea70-4052-b8a0-fd6cc89530be · outbound

This paper cites Long Context Tuning for Video Generation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Long Context Tuning for Video Generation

Reference 21

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arxiv_id, observed 2026-05-16T18:17:55.154034Z

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=2026-05-16T18:17:54.943863Z digest=sha256:8c495f2c98031442039249a765d7c013711dfff788e4a1affd72be748c72b779

Observation 9931c735-97cd-4f46-81fc-c2c37a47fca0 · outbound

This paper cites Pre-Trained Video Generative Models as World Simulators.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Pre-Trained Video Generative Models as World Simulators

Reference 22

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arxiv_id, observed 2026-05-16T18:17:55.157621Z

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=2026-05-16T18:17:54.943863Z digest=sha256:cbffb7a20aac6a8cef67f54207f96dd82e9d6bca695edef33722078a257b3d70

Observation b194084b-6822-45dd-b7a0-a29ac612efe8 · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 23

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local_arxiv, observed 2026-05-16T18:17:55.160442Z

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=2026-05-16T18:17:54.943863Z digest=sha256:980197e423a3100583fabf7d3401da6458a1e84fa83cae347c9f78492f5c2333

Observation 0ff70ab7-0a3b-4618-8a5e-9ca616761bcf · outbound

This paper cites Streamingt2v: Con- sistent, dynamic, and extendable long video generation from text.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Streamingt2v: Con- sistent, dynamic, and extendable long video generation from text

Reference 24

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raw_fallback, observed 2026-05-16T18:17:55.253812Z

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=2026-05-16T18:17:54.943863Z digest=sha256:7dc6e8362139d8bfcaab75f828c42f3ef9924a99aece259d3d372970a7c5bb7c

Observation a036f32a-803e-4242-8f85-4a9b3e134b9a · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 25

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raw_fallback, observed 2026-05-16T18:17:55.256524Z

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=2026-05-16T18:17:54.943863Z digest=sha256:6f3f685445b7e29b9aeee5b929a05505fa8324ec165a1a1c4843e98608edfc48

Observation add7003a-6899-4b0b-b656-6b502d33c3ac · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 26

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local_arxiv, observed 2026-05-16T18:17:55.163261Z

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=2026-05-16T18:17:54.943863Z digest=sha256:87b89010dd38b00d8f5d468e66381ca3ab0ff249d067845ec0c699e2cde9cd23

Observation 97c3e2d5-ace7-4baf-838b-802d15a6ef9b · outbound

This paper cites Video dif- fusion models.Advances in neural information processing systems, 35:8633–8646.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Video dif- fusion models.Advances in neural information processing systems, 35:8633–8646

Reference 27

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raw_fallback, observed 2026-05-16T18:17:55.262547Z

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=2026-05-16T18:17:54.943863Z digest=sha256:b1f91cfaffd18b31ebd674f9f1565cd9cb3980e8d84600872d095b059085171e

Observation f2db3488-ea3a-4a14-8d9b-b4d418d8a196 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 28

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local_arxiv, observed 2026-05-16T18:17:55.166767Z

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=2026-05-16T18:17:54.943863Z digest=sha256:03ea367429c2732c4b3f6d578c0de8053a51b8beed718fa09e47d5f588c022a9

Observation 7adea609-3661-4728-baeb-984cca135954 · outbound

This paper cites A reinforcement learning-based automatic video editing method using pre-trained vision-language model.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation A reinforcement learning-based automatic video editing method using pre-trained vision-language model

Reference 29

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verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.266589Z

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=2026-05-16T18:17:54.943863Z digest=sha256:4e5bccc2bb89c8c9e19110a99237ab7356f2ec59bb9f5b1a3878a949e7e49777

Observation 0e4ec63e-f914-4354-80d3-2a61eb037f1f · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 30

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local_arxiv, observed 2026-05-16T18:17:55.169775Z

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=2026-05-16T18:17:54.943863Z digest=sha256:8a571c7649398afb9a341072cc2ad6abd00978ce78f1ea970521c4cbe586aa02

Observation 0e8d0c3a-b920-4ac7-92f7-807c458e215b · outbound

This paper cites VBench: Com- prehensive benchmark suite for video generative models.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation VBench: Com- prehensive benchmark suite for video generative models

Reference 31

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raw_fallback, observed 2026-05-16T18:17:55.271165Z

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=2026-05-16T18:17:54.943863Z digest=sha256:255954e76b0e294073999b5258378326ad43e60d3049a1e5db11331245c854f4

Observation 87f7eb7f-9834-432b-b361-dc46b78320db · outbound

This paper cites VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models

Reference 32

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arxiv_id, observed 2026-05-16T18:17:55.173190Z

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=2026-05-16T18:17:54.943863Z digest=sha256:717017c326f6cb2449c804744566eaec23dd9e54fc078382045f44cbe65c14b1

Observation 6f814813-7cc2-4aa3-b174-1cb43b457f96 · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954

Reference 33

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arxiv_id, observed 2026-05-16T18:17:55.176601Z

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=2026-05-16T18:17:54.943863Z digest=sha256:dca5a408960400be685b3226353015bf839f4d15b9cb951394dfe9a3228e2afe

Observation ffd571df-65a1-4cc0-ac5b-afc35fb6af74 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577

Reference 34

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verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.278380Z

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=2026-05-16T18:17:54.943863Z digest=sha256:0b829cbffb2771dfcabdfc2426eccf5cd3351a4de8c5b92f863f29548147b114

Observation 278f3a87-a6b8-4e2d-9912-f6b13a983c72 · outbound

This paper cites Vip: Iterative online pref- erence distillation for efficient video diffusion models.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Vip: Iterative online pref- erence distillation for efficient video diffusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.280459Z

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=2026-05-16T18:17:54.943863Z digest=sha256:4c21fa2c1784d73225c82a1ea461e0c19a31dc6d53456329e715c39073028c73

Observation 24bcf826-7078-4417-9f1d-5409024a8806 · outbound

This paper cites Auto-Encoding Variational Bayes.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Auto-Encoding Variational Bayes

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.179200Z

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=2026-05-16T18:17:54.943863Z digest=sha256:7278cbc27ee8cff1bbf3fb7cd5fd29f39517ebcc1e3ccdf42d201511024abebc

Observation ee29985e-7d6e-4b31-93ed-5d24e60c9a78 · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.181751Z

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=2026-05-16T18:17:54.943863Z digest=sha256:741d6f7156eda5de966356e0a28fd83e9cde9cdc8ba395f9e7c72e534c1710c8

Observation 2c1d4a57-6535-4a46-8ddb-10a262d355db · outbound

This paper cites Aligning Text-to-Image Models using Human Feedback.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Aligning Text-to-Image Models using Human Feedback

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.184622Z

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=2026-05-16T18:17:54.943863Z digest=sha256:f079001ec7973a33843f9fc68b7974efe76a31a7f4c051d66329c6a31b6af718

Observation adaaaf58-53e2-49d3-88e8-ad8bc7786d15 · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Stable video infinity: Infinite-length video generation with error recycling.arXiv preprint arXiv:2510.09212

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.187646Z

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=2026-05-16T18:17:54.943863Z digest=sha256:5d1eb608cc83306cc5718660491ae7269d77ea0377195c83d9f313fa1deb4a33

Observation 91adbb46-3923-4cf1-b182-efd37378e8f5 · outbound

This paper cites Open-Sora Plan: Open-Source Large Video Generation Model.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Open-Sora Plan: Open-Source Large Video Generation Model

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.190470Z

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=2026-05-16T18:17:54.943863Z digest=sha256:db3772bc19f533084e321a1a838d1b0be833b68a9c55f07f1c3875ce01d69d7b

Observation bf36057a-21d1-421f-84d5-1186df62bb9b · outbound

This paper cites Autoregressive adversarial post- training for real-time interactive video generation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Autoregressive adversarial post- training for real-time interactive video generation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.193690Z

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=2026-05-16T18:17:54.943863Z digest=sha256:d914dd45b97c3022ed7cd559ca3b8f07745d0436239dcbc890a1d4f8effdb4ac

Observation 6c90a294-7a08-440b-87b0-0bd1d5d7ac41 · outbound

This paper cites ContentV: Efficient Training of Video Generation Models with Limited Compute.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation ContentV: Efficient Training of Video Generation Models with Limited Compute

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.196671Z

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=2026-05-16T18:17:54.943863Z digest=sha256:95b8b9e90f29c8b52950a450d1372d6b3e929911e397c815c4ddfc36f4650413

Observation 612df535-8f39-4275-b41e-ef1e869cc002 · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Flow-GRPO: Training Flow Matching Models via Online RL

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.199152Z

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=2026-05-16T18:17:54.943863Z digest=sha256:f170fba20aae2de5cd9010ddae4d058a63a9707acfc7d82625833d3b1d2241c7

Observation 5422bf9e-f8b2-40a6-9b61-f91ce81cb346 · outbound

This paper cites Improving Video Generation with Human Feedback.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Improving Video Generation with Human Feedback

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:54.987782Z

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=2026-05-16T18:17:54.943863Z digest=sha256:debcdf21a05af97822a2dba82c2ccb93c99dd422620a10c15380ff90416f893f

Observation 70e6c632-f2e5-4f8c-be86-183240cd2c5a · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:54.991741Z

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=2026-05-16T18:17:54.943863Z digest=sha256:8c276efe64ea952a607bb6a2c0b7f069747f8732e737a6a33ddd14a709d3cdf9

Observation b8cc9a8c-9eea-4baa-af5b-afeb8d579468 · outbound

This paper cites Videodpo: Omni- preference alignment for video diffusion generation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Videodpo: Omni- preference alignment for video diffusion generation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.237158Z

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=2026-05-16T18:17:54.943863Z digest=sha256:9c0ca82ddd475836390bd01c4c8cc213605cb24bbb36eeb86a3729c02990bcc2

Observation 5c12066a-4cea-4359-957e-431809e6618f · outbound

This paper cites Freelong: Training-free long video generation with spectralblend tem- poral attention.Advances in Neural Information Processing Systems, 37:131434–131455.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Freelong: Training-free long video generation with spectralblend tem- poral attention.Advances in Neural Information Processing Systems, 37:131434–131455

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.239757Z

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=2026-05-16T18:17:54.943863Z digest=sha256:9a6437b0eea62128cf81e2bea32be432f12b48f8d2465125de2ea1fc9f623745

Observation d93bb7fd-a7d1-402d-920f-8af98a638575 · outbound

This paper cites Inpo: Inversion preference optimization with reparametrized ddim for efficient diffusion model alignment.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Inpo: Inversion preference optimization with reparametrized ddim for efficient diffusion model alignment

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.241969Z

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=2026-05-16T18:17:54.943863Z digest=sha256:1c1d8ffec553154647180f874985fb74253d62b82b47ac4be3149c1d421b49d7

Observation dd186e3b-3c85-4d42-abdf-4aacb1d173a4 · outbound

This paper cites Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:54.995620Z

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=2026-05-16T18:17:54.943863Z digest=sha256:b7c6f453a07a8eba6f5074c89af877d0eaff7a00e39c6d1a5af2d993b624c83b

Observation 426bd102-ae35-4942-9039-7005013e153f · outbound

This paper cites Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:54.999617Z

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=2026-05-16T18:17:54.943863Z digest=sha256:4246786fb04ab9327fc68e772ceed50677852b9d64b67bd326389581755ddcad

Observation 626c0f9d-91bd-433f-8d54-a2c107725941 · outbound

This paper cites an unresolved cited work.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:17:55.248888Z

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=2026-05-16T18:17:54.943863Z digest=sha256:4617442c937deb924ab30c0a9a53174bb6dc5dce733e17babda019d10994440e

Observation 0efd39d8-cc40-4a05-8a2e-8b76aae7c15b · outbound

This paper cites Improved denoising diffusion probabilistic models.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Improved denoising diffusion probabilistic models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.251462Z

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=2026-05-16T18:17:54.943863Z digest=sha256:20de2fbf11873eabf991f0df77400f456246d7b621652eb75ba53c4dcdd5d373

Observation 538319a1-53ac-42d5-936a-bee366811d5b · outbound

This paper cites Scalable diffusion models with transformers.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Scalable diffusion models with transformers

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.260067Z

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=2026-05-16T18:17:54.943863Z digest=sha256:733709d5426b1ef8f2e4440596096f113f5a310ffcb2001dc85ea6a07a6aec00

Observation 1da3a196-7aca-4791-b5d8-209301dc8cb5 · outbound

This paper cites Reinforcement learning by reward-weighted regression for operational space control.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Reinforcement learning by reward-weighted regression for operational space control

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.264554Z

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=2026-05-16T18:17:54.943863Z digest=sha256:7d4725d67594d1539e39e22d825a1e0a50e36a95ff64b9c006b9e29618bd544e

Observation 3d666953-9a2e-456b-bd4e-4adcb8db919d · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Movie Gen: A Cast of Media Foundation Models

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.002890Z

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=2026-05-16T18:17:54.943863Z digest=sha256:d1032e0f0b7a3e2f0c62d9bd16727b44fb26d5acee8bd9f5da6558a51099b098

Observation 26e8ef0c-1ac0-4713-a3de-1333b066897f · outbound

This paper cites Video Diffusion Alignment via Reward Gradients.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Video Diffusion Alignment via Reward Gradients

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.006639Z

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=2026-05-16T18:17:54.943863Z digest=sha256:fcf11a508ce7aeb8cb6702ffe80fefe6b3623ead5b7633d9b52a8266e4518bd6

Observation 38bd10e6-4abc-4af2-801f-a4f6ba3d6e00 · outbound

This paper cites WorldSimBench: Towards Video Generation Models as World Simulators.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation WorldSimBench: Towards Video Generation Models as World Simulators

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.010296Z

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=2026-05-16T18:17:54.943863Z digest=sha256:156c9eaa738f3ddef61ef565023d594da321c7e6647cc06b5d96f243f494f263

Observation 5b57d5f8-7a01-46d9-99c3-4fe0b20e2717 · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.014787Z

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=2026-05-16T18:17:54.943863Z digest=sha256:46ccfaadb8d732611873309534bcac802b28e25e9367e44c9c73d01bcb5d2f5f

Observation 98c13ac6-64cc-49e4-a972-7262397145ba · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Learning transferable visual models from natural language supervi- sion

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.208322Z

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=2026-05-16T18:17:54.943863Z digest=sha256:51e6855bbb74b9227b2a111d809372158aca079a8cf450ce77d2a72b49b5efd2

Observation f51d4caf-593c-4773-bc31-be980868e14c · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.213452Z

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=2026-05-16T18:17:54.943863Z digest=sha256:3b35d0b417103c8dd05931433e7f3407dd9a6fda79e896bf8d74eacc01d2ef58

Observation 250492a7-afdb-4551-b469-6082bab8cae3 · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation U- net: Convolutional networks for biomedical image segmen- tation

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.215939Z

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=2026-05-16T18:17:54.943863Z digest=sha256:d1e756505f6d19d9090f5e6a81ce0c5ccb06a54fdbfc399daf99c04c697d6416

Observation 0de14b20-cb69-49d7-bca2-fe991a864ed1 · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Motionstream: Real-time video gen- eration with interactive motion controls.arXiv preprint arXiv:2511.01266

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.018954Z

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=2026-05-16T18:17:54.943863Z digest=sha256:6bed82ce35b430e34eb3a7e287d7ef5698bce017d5c71d80ed64d470e0d4f0df

Observation b63c833a-fdd3-470f-a076-db1d7437c526 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.022177Z

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=2026-05-16T18:17:54.943863Z digest=sha256:cd3f99b8b15d4ff131cec936aed860475be8b9cd6bcd0eb6f977b8177e0b2e0f

Observation e3c8cee1-4adf-4ed8-b9f2-bd9b3afecd28 · outbound

This paper cites History-Guided Video Diffusion.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation History-Guided Video Diffusion

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.025276Z

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=2026-05-16T18:17:54.943863Z digest=sha256:c539957d14de624de0bad87ad849c3c75b7506778196f21c52c9a9169822ea5d

Observation ff2fc249-2514-40ea-a0ca-2303e6ddf5f3 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.230981Z

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=2026-05-16T18:17:54.943863Z digest=sha256:49b039d9516c2ce3caaccb13a63f8d55099c62b4235a5a8a22b704c63db45171

Observation a7d32562-2317-4a9d-93b1-30eb77501927 · outbound

This paper cites Swiftvideo: A unified framework for few-step video generation through trajectory-distribution alignment.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Swiftvideo: A unified framework for few-step video generation through trajectory-distribution alignment

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.028819Z

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=2026-05-16T18:17:54.943863Z digest=sha256:bc42705e040b7b373ace205ccbe9bb6d1cdf1d44945a81fcae52e0160a219e0a

Observation 666c9e55-d6d3-4114-adfd-1f249d6bc48a · outbound

This paper cites Sutton and A.G.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Sutton and A.G

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.235110Z

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=2026-05-16T18:17:54.943863Z digest=sha256:146aa4557ab8a742f97084b54be2a8b386274beb074fa8702b0f152ccf78df1e

Observation d04eff8e-abd3-4151-b3e1-534ab6ad2239 · outbound

This paper cites Longcat-video technical report.arXiv preprint arXiv:2510.22200.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Longcat-video technical report.arXiv preprint arXiv:2510.22200

Reference 68

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verified exact
arxiv_id, observed 2026-05-16T18:17:55.032764Z

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=2026-05-16T18:17:54.943863Z digest=sha256:3b75d4713601e673e8213370d3efdb81fe604b3574af57acfe0646173c94fae5

Observation c61e4b2b-a080-455b-981b-3049682ffea4 · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation MAGI-1: Autoregressive Video Generation at Scale

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.036128Z

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=2026-05-16T18:17:54.943863Z digest=sha256:d0aa09f48ad063b27de9e4d714dfdc6c2346dd697562ba9c3db0f1b04625dcd3

Observation bb993bc7-230f-49bc-ab8a-75a5c440a0e9 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Attention is all you need.Advances in neural information processing systems, 30

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.269002Z

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=2026-05-16T18:17:54.943863Z digest=sha256:c233c8917a148bd44137ef5fa112a4e0d8ffe9a1fe5045eff365d026dd41d7a1

Observation b6c69067-5cf2-43ce-a8e1-93591dc56d45 · outbound

This paper cites Phenaki: Variable Length Video Generation From Open Domain Textual Description.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Phenaki: Variable Length Video Generation From Open Domain Textual Description

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:43:34.268786Z

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=2026-05-16T18:17:54.943863Z digest=sha256:b6a3db270dd8c72b0c17b425ce15f65630217e7edf91c95dc1b660ccfd36a9bd

Observation 2e6356c5-ca4c-4364-89d7-8afcf9dc1abe · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.043478Z

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=2026-05-16T18:17:54.943863Z digest=sha256:fe05ac4ee8689f6fd6111716e74b442983bfc9ffdc204fd168286f704a683ab2

Observation ba148add-9790-4cb0-b303-bedf26e4d2bd · outbound

This paper cites Vidprom: A million-scale real prompt-gallery dataset for text-to-video diffusion mod- els.Advances in Neural Information Processing Systems, 37: 65618–65642.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Vidprom: A million-scale real prompt-gallery dataset for text-to-video diffusion mod- els.Advances in Neural Information Processing Systems, 37: 65618–65642

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.203561Z

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=2026-05-16T18:17:54.943863Z digest=sha256:f4324ed05231ecebfb62c2f0ca88667684e699415427496274d3510e47aa8252

Observation 32b7b5be-47de-4386-be2a-eb4e71e146f9 · outbound

This paper cites Lavie: High-quality video generation with cascaded latent diffusion models.International Journal of Computer Vision, 133(5):3059–3078.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Lavie: High-quality video generation with cascaded latent diffusion models.International Journal of Computer Vision, 133(5):3059–3078

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.220991Z

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=2026-05-16T18:17:54.943863Z digest=sha256:37cee536ba1632f0bf954256bf59ca54957c00960ee93b7e23c529c7fc42d167

Observation 6f813df5-c7cc-4512-b4c1-33f644176ea4 · outbound

This paper cites Unified Reward Model for Multimodal Understanding and Generation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Unified Reward Model for Multimodal Understanding and Generation

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:54.983856Z

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=2026-05-16T18:17:54.943863Z digest=sha256:4de998ff3b3472ba1eeb2041eaff9c2d02fca08d3080aed447f40df18d2cf880

Observation 0aeee703-2ac3-4b4b-beac-aedc66bd6505 · outbound

This paper cites Video models are zero-shot learners and reasoners.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Video models are zero-shot learners and reasoners

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.050614Z

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=2026-05-16T18:17:54.943863Z digest=sha256:11e5eae9f22ff56b1409fc81ce3dd6e34a9cdd09af44f1a0e7263a4a206befcc

Observation 53be49cc-2695-4ae0-a27a-2e225b9edff9 · outbound

This paper cites RewardDance: Reward Scaling in Visual Generation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation RewardDance: Reward Scaling in Visual Generation

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.054498Z

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=2026-05-16T18:17:54.943863Z digest=sha256:96aa5fdc9ca4a15eb0ba4ce658a8526c65564e03503242b6d5233af64b549cb6

Observation 93a50d2c-98e6-4fcf-9462-c5daa2ba6b77 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Efficient Streaming Language Models with Attention Sinks

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.059116Z

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=2026-05-16T18:17:54.943863Z digest=sha256:e30494bc8d483b2edf4a99cf88ae636c0d6e60c586b2754480104c22945b4723

Observation a965ff27-ef15-4f0f-b61d-36b2203b39fa · outbound

This paper cites VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.062827Z

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=2026-05-16T18:17:54.943863Z digest=sha256:65b367876fd2ccce32dcc314998858f0917a9ad3a18328b13330a08302ad5cd3

Observation f095ed45-5c07-41a7-967a-cb9ab8de1b9a · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation DanceGRPO: Unleashing GRPO on Visual Generation

Reference 80

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.066796Z

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=2026-05-16T18:17:54.943863Z digest=sha256:3f94cbb15a261959ce438e743334118d61f8a9b68de46d9a4478d9a1d693c242

Observation 65ae0f18-bf55-48bc-aa07-1376be01125c · outbound

This paper cites Qwen3 Technical Report.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Qwen3 Technical Report

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.070231Z

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=2026-05-16T18:17:54.943863Z digest=sha256:73835b53cff92f07a7a1ca712e6703c2ce4cac2dc333d9891f453d9e436cf014

Observation fb1001c4-8441-411a-a518-df8c05fcb90a · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation LongLive: Real-time Interactive Long Video Generation

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.073322Z

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=2026-05-16T18:17:54.943863Z digest=sha256:9ccc3c81fe221775cb0c180386e6f6e3de7489c20f1d7f617aeaba7e2a3b5eac

Observation 942e1294-2723-4b07-a359-a20cb1bba4db · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:17:55.076778Z

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=2026-05-16T18:17:54.943863Z digest=sha256:e4d7c26a7b491e19fa12751b1924e5873de2680dd5bceffddca0f31e7d86b297

Observation 9af48155-6e79-49a0-b66c-f23cbf9709c7 · outbound

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

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Infinity-RoPE: Action-controllable infinite video generation emerges from autoregressive self- rollout

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.080236Z

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=2026-05-16T18:17:54.943863Z digest=sha256:486122faae9069b55ea5628ee83524002885fca2a165c18df31530afceb8aec0

Observation 62fc0696-e5cb-4d80-9c05-0aa56f0bede0 · outbound

This paper cites NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.083407Z

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=2026-05-16T18:17:54.943863Z digest=sha256:3ec35484c9831b3e0021f771253b9dec2a1762bd7f9b8903e6fce0e8b7dc21f0

Observation da5c2111-4dab-4669-90bf-83b3da949f3b · outbound

This paper cites Im- proved distribution matching distillation for fast image syn- thesis.Advances in neural information processing systems, 37:47455–47487.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Im- proved distribution matching distillation for fast image syn- thesis.Advances in neural information processing systems, 37:47455–47487

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.246639Z

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=2026-05-16T18:17:54.943863Z digest=sha256:2abf01dcfbb39e18c26598e378954241121b57dc63346cebe1c7c5aa8f637fdd

Observation 0769e1ce-0c1c-4293-aa95-748226974934 · outbound

This paper cites One-step diffusion with distribution matching distillation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation One-step diffusion with distribution matching distillation

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.273330Z

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=2026-05-16T18:17:54.943863Z digest=sha256:f1890b29dc1f70565c1dfe9ff8314571be8ee4cd60d7af57e9c9fe8ab5aecacf

Observation 6db0488d-084c-4dc6-8110-7f59e07c09ca · outbound

This paper cites One-step diffusion with distribution matching distillation.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation One-step diffusion with distribution matching distillation

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.275515Z

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=2026-05-16T18:17:54.943863Z digest=sha256:c0cd8892f90840fa2dbe946116d8017a4d0a4d26057294824f5eb09f4c8cf0e1

Observation 0b4b7593-8abb-4cde-b355-b42836401674 · outbound

This paper cites From slow bidirectional to fast autoregressive video diffusion mod- els.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation From slow bidirectional to fast autoregressive video diffusion mod- els

Reference 89

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verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.223326Z

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=2026-05-16T18:17:54.943863Z digest=sha256:68dcc6798ef1ee8f7254588b936fea542f570247d904479838fc6581597dcf4d

Observation 29a3199e-1614-4847-b309-f235a7303537 · outbound

This paper cites Instructvideo: Instructing video dif- fusion models with human feedback.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Instructvideo: Instructing video dif- fusion models with human feedback

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.228214Z

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=2026-05-16T18:17:54.943863Z digest=sha256:9ddacce17c648a96f65c53dcd867bff64fa6678b2dbc389146ce784e5721b398

Observation c0bba8a1-b0f3-4ef2-88e5-6a1bb918331f · outbound

This paper cites Lumos-1: On autoregressive video generation from a unified model perspective.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Lumos-1: On autoregressive video generation from a unified model perspective

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.086418Z

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=2026-05-16T18:17:54.943863Z digest=sha256:ac4bd5a83fc3563080ade4c36588499b002a874eabe76766bc8dd3b6d6e097fc

Observation 49101610-aba0-49c0-807b-b1a3ef453f86 · outbound

This paper cites AdaDiff: Adaptive Step Selection for Fast Diffusion Models.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation AdaDiff: Adaptive Step Selection for Fast Diffusion Models

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.089633Z

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=2026-05-16T18:17:54.943863Z digest=sha256:59dc94246c8c9ab0010f53d23ec0d024d2248e934ba64be0d650191923b39afa

Observation 8bbbc47d-c70f-4b8d-b48d-d34f0cc54432 · outbound

This paper cites Onlinevpo: Align video diffusion model with online video-centric preference optimization.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Onlinevpo: Align video diffusion model with online video-centric preference optimization

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.093187Z

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=2026-05-16T18:17:54.943863Z digest=sha256:867a6d5b71a5fe01c0519eec76bd21079a7d3a5c03d089165274b5936c046879

Observation 39a944e5-6dfb-4d5b-b5d1-ac9b9b4e0eb1 · outbound

This paper cites Lvmin Zhang, Shengqu Cai, Muyang Li, Chong Zeng, Beijia Lu, Anyi Rao, Song Han, Gordon Wetzstein, and Maneesh Agrawala.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Lvmin Zhang, Shengqu Cai, Muyang Li, Chong Zeng, Beijia Lu, Anyi Rao, Song Han, Gordon Wetzstein, and Maneesh Agrawala

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T18:17:55.096659Z

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=2026-05-16T18:17:54.943863Z digest=sha256:9e94f469eef181442c245bb21f04947717e6d360025af40ec833f8717e2b0beb

Observation 71cd15de-a94c-46bf-bfd4-54ab6736de9e · outbound

This paper cites DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:17:55.099971Z

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=2026-05-16T18:17:54.943863Z digest=sha256:4f4f7771d6b103bc767e01425b333d2f5f26db15b577edf04c8471920322f72b

Observation 36cf27da-e0a5-4a44-8f81-1739b54e66e1 · outbound

This paper cites RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers

Reference 96

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T18:17:55.102957Z

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=2026-05-16T18:17:54.943863Z digest=sha256:670a0a2254f578b9b75343b5ee982b9007953b13c8aed8ea752fa2da8a388e8c

Observation c8f14385-d47a-4ca8-97e6-3053d3051221 · outbound

This paper cites - 1: Completely Irrelevant - Content is unrelated or severely contradicts the description.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation - 1: Completely Irrelevant - Content is unrelated or severely contradicts the description

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.233107Z

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=2026-05-16T18:17:54.943863Z digest=sha256:92df00e6b23efcfffdbf385abd43c40582545ee35014c03d7b403d1d1fd42594

Observation f63db688-93a2-4b2e-aa0c-e9bfdc73693a · outbound

This paper cites - 1: Static / Disjointed - Little to no dynamic elements; or motion is severely broken and incoherent.

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation - 1: Static / Disjointed - Little to no dynamic elements; or motion is severely broken and incoherent

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:17:55.244218Z

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=2026-05-16T18:17:54.943863Z digest=sha256:edc33281fcbb4bb34e57490392f8d7c5ac6e9059008c3526b42b5111c20281d1

Observation d0f1fdf8-5926-4090-8619-3a0736eb5dd7 · outbound

This paper cites - 1: Very Poor - Severely blurry, heavy visual artifacts (e.g., distortion, tearing), and/or extreme color issues (e.g., over-saturation, color banding).

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation - 1: Very Poor - Severely blurry, heavy visual artifacts (e.g., distortion, tearing), and/or extreme color issues (e.g., over-saturation, color banding)

Reference 99

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verified exact
arxiv_id, observed 2026-05-16T18:17:55.106156Z

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=2026-05-16T18:17:54.943863Z digest=sha256:c226d875a775db88429054ca10db26ddca0d33ae02ea1355b6c5b60a33d9818c

Pith citing papers

Observation 5f6de0fb-0792-4dd1-80d1-b1b2203d0d27 · inbound

Advancing Open-source World Models cites this paper.

Advancing Open-source World Models Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 43

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=2026-05-16T09:07:00.904794Z digest=sha256:4f874480933c900b1264055a3b61d07a2be93697f3c47c7c8bcc699aceced06d

Observation 7493b0ef-f593-4cbc-a1c3-0ca9ec501584 · inbound

Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion cites this paper.

Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 66

Resolution
metadata mismatch
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=2026-05-16T07:02:38.876518Z digest=sha256:bfa6e9527c62132eeb55756127fff51770beb1448a0465220c4e0d4e11503d88

Observation 261fe4a5-52e3-4342-927e-5afeca316271 · inbound

EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation cites this paper.

EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 95

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=2026-05-15T22:20:16.320171Z digest=sha256:349245d26ec28ab8d67689344a5bb6802bf8e5b973e6c5e4e82ab0fabec9f3c8

Observation e4b207ba-8a87-49f2-9973-2d49699a635c · inbound

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL cites this paper.

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T23:23:53.986033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:23:53.986033Z digest=sha256:4988eacb2360dca67099f20587ab13ace5fec63ffad6551bf9aabefa707cd913

Observation 917d6606-bd45-4f83-9dd4-ab46991f8807 · inbound

VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment cites this paper.

VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-13T23:54:26.281624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:54:26.281624Z digest=sha256:fdf7e28a36ea8aea8b7bc4393e4d97a940836d7ea3ba0cdf202250b7f8b2990a

Observation e30031bb-0dcb-47c0-8c8e-34ab89a56a77 · inbound

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms cites this paper.

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 74

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=2026-05-14T01:35:14.878069Z digest=sha256:2b353805489aec96089eef05dd239926d0a25b9a8df3b2762ef11e54d240c1f9

Observation 9df8de80-895d-449f-9a0e-91a618d975a2 · inbound

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation cites this paper.

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 26

Resolution
metadata mismatch
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=2026-05-13T19:38:54.942114Z digest=sha256:5b8d313d6245ca2437457b7eb2308f991b90e8a994bc6ead6f9d30ebea87300a

Observation a07508d1-eb78-4489-aa4d-43a21cce1175 · inbound

Grounded Forcing: Bridging Time-Independent Semantics and Proximal Dynamics in Autoregressive Video Synthesis cites this paper.

Grounded Forcing: Bridging Time-Independent Semantics and Proximal Dynamics in Autoregressive Video Synthesis Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 16

Resolution
metadata mismatch
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=2026-05-10T18:32:01.665435Z digest=sha256:f7dc42ea7f4c194d8741dc0f2dd8fd2653fdd00b04ed9ac7cf43065a24c93288

Observation c4a9fac9-2fb8-44f4-afe2-492c8721d000 · inbound

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation cites this paper.

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 128

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=2026-05-10T16:17:09.834609Z digest=sha256:1edcc0088e75aa9763c61538d12f5ebecab1161b65980a91fb5574dde86bb7d8

Observation a446632d-5f2a-4da2-962d-2d3be36d8b33 · inbound

Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation cites this paper.

Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 31

Resolution
metadata mismatch
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=2026-05-10T16:10:54.363560Z digest=sha256:1e12ffc54feb80f95c94c30e94c8c1ed2e3ef3b17655579e1d70548889f15b00

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

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

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 3c000e87-9d15-4844-acd7-cc8a9ad82f34 · inbound

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

Human Cognition in Machines: A Unified Perspective of World Models Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 115

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=2026-05-10T08:12:15.663761Z digest=sha256:1dfdc841299eb473cd58fefc77e20a2cd226683de3bbd6c35b44ae409a469ac5

Observation 003f43f7-5683-4d76-ab62-5a62423cfc85 · inbound

Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation with Asynchronous Dual-Stream and Human-Centric Preference Distillation cites this paper.

Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation with Asynchronous Dual-Stream and Human-Centric Preference Distillation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 22

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=2026-05-08T06:56:19.795651Z digest=sha256:9d77553b78e08ec2a0c548388ff2a00c08358fe9c5d05ebbd6b3015e1b605877

Observation 3aef4272-07d1-4863-9299-f69bcdaed419 · inbound

Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation cites this paper.

Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 25

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=2026-05-07T17:38:08.199955Z digest=sha256:b53d7dc664953989d357f2a7bff18c106e930fc1967f751f0916f37dba6e5e37

Observation 9b2efc5d-ff2d-4696-bdf5-ca259364878f · inbound

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models cites this paper.

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 41

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=2026-05-07T17:42:00.634333Z digest=sha256:9518df6b65b84006d663fb130b151f15d1c8d96612b59427d24a03980fcfc7f1

Observation 3c65e886-ca8e-42a6-8e6b-7a87b8ed35e0 · inbound

Stream-T1: Test-Time Scaling for Streaming Video Generation cites this paper.

Stream-T1: Test-Time Scaling for Streaming Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 25

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=2026-05-08T18:16:14.985693Z digest=sha256:8d5f51958a546800bc4559838f72d4bbdc58823a154e91f759b729db3562e6b7

Observation 31eb82be-5eee-4799-ad85-fe61bc08c8d8 · inbound

PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation cites this paper.

PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 10

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=2026-05-15T02:49:21.291716Z digest=sha256:98741b671f8e2590e8b5a7ff38f377dd9c2d9b8400056b27b851fb7cda1a5f80

Observation ac1741de-86a7-47de-8460-0a0119e6a294 · inbound

KVPO: ODE-Native GRPO for Autoregressive Video Alignment via KV Semantic Exploration cites this paper.

KVPO: ODE-Native GRPO for Autoregressive Video Alignment via KV Semantic Exploration Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 12

Resolution
metadata mismatch
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=2026-05-15T02:38:14.180433Z digest=sha256:b2980c5ec31af3a4d571d3b37cba6cf7ec442d3d8e796078f64537a0ea8896d9

Observation 3f888746-e27a-43e9-b78f-821daafa2d09 · inbound

Head Forcing: Long Autoregressive Video Generation via Head Heterogeneity cites this paper.

Head Forcing: Long Autoregressive Video Generation via Head Heterogeneity Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 37

Resolution
metadata mismatch
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=2026-05-15T02:31:48.593354Z digest=sha256:4927db70441d9b080a227983af95d6c1f3b8d68380c4d9232867f0005df31066

Observation 59f098d3-388a-4ce0-af0b-c35836981c05 · inbound

Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation cites this paper.

Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:05:04.372673Z

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=2026-06-30T20:59:34.847496Z digest=sha256:90672b633686a8a71d2ad01b36e1e1d47bb6e7897fed5b68da992523a4f1cd87

Observation 39873a25-cf51-4731-843e-c7e5c1a66b54 · inbound

FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization cites this paper.

FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-20T20:13:43.522225Z

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=2026-05-20T20:11:33.277349Z digest=sha256:9a284c359b51ba8b7ff450cc7625c28a7dcf8206e7f99a2fdc481e3fbb899e7e

Observation 1685d500-133c-4f8d-bdfc-88c5b371a6fb · inbound

FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization cites this paper.

FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-06-30T19:25:00.556450Z

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=2026-06-30T19:23:07.044659Z digest=sha256:b804d7815ce07e0f336abfa5c024cdbadae0fbfb68b80dbdd24842a470fabd1d

Observation cf9f371a-6bd3-4912-ad93-3e70533698aa · inbound

Echo-Forcing: A Scene Memory Framework for Interactive Long Video Generation cites this paper.

Echo-Forcing: A Scene Memory Framework for Interactive Long Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-20T20:03:43.444278Z

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=2026-05-20T20:02:45.505404Z digest=sha256:d8ef1d6394b7a2098f124a680928950381a0eaaa62274041bfd9bf117e36c779

Observation d323e2c1-56fa-4d5c-8b5a-00321816f9c7 · inbound

Enhancing Train-Free Infinite-Frame Generation for Consistent Long Videos cites this paper.

Enhancing Train-Free Infinite-Frame Generation for Consistent Long Videos Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T10:58:13.910955Z

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=2026-05-20T10:56:16.054496Z digest=sha256:d083c7b537e6f1052f7432e6649eb9930c18c7c816b98ad5495eff1c4eb928d2

Observation 00a271ad-406a-4cf4-99b3-521036f2669b · inbound

Advancing Narrative Long Video Generation via Training-Free Identity-Aware Memory cites this paper.

Advancing Narrative Long Video Generation via Training-Free Identity-Aware Memory Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:23:13.947789Z

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=2026-05-20T11:22:27.209556Z digest=sha256:abbba09831dc054cade48a299e1ea2472f495758e5b7076dc42df6b15bbb47aa

Observation 4dde6682-66ee-4bb7-8f1c-25faa5da3bb0 · inbound

Goodbye Drift: Anchored Tree Sampling for Long-Horizon Video-to-Video Generation cites this paper.

Goodbye Drift: Anchored Tree Sampling for Long-Horizon Video-to-Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-21T07:19:46.872567Z

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=2026-05-21T07:17:58.742306Z digest=sha256:e228098e45831fc58c1ba2ae6960138863a2efa8af3968952d95eb4f1717ab96

Observation bfd9a537-d9f9-417b-80a9-5ebec0a3d84c · inbound

DySink: Dynamic Frame Sinks for Autoregressive Long Video Generation cites this paper.

DySink: Dynamic Frame Sinks for Autoregressive Long Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T02:17:50.740054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T02:17:50.740054Z digest=sha256:aeebdf00052f54d223779c6b44af40cf8a5a37ce81df733edbce00d02e056a6d

Observation 1ff24acb-f5d7-406e-a36d-ddfb58d2e9b6 · inbound

One-Forcing: Towards Stable One-Step Autoregressive Video Generation cites this paper.

One-Forcing: Towards Stable One-Step Autoregressive Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:40:23.623877Z

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=2026-05-25T04:38:41.949350Z digest=sha256:58ea521a70c4561350870205392c240cb2b5ef2082dcbfc72889b72f032df109

Observation 7812328c-6d9c-4b87-90f3-69c65e34d116 · inbound

Future Forcing: Future-aware Training-free KV Cache Policy for Autoregressive Video Generation cites this paper.

Future Forcing: Future-aware Training-free KV Cache Policy for Autoregressive Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:33:15.114124Z

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=2026-06-29T08:30:00.438334Z digest=sha256:085817dd68895416d2b7d45ab8ca42bf3f04cb7284da5c815714ebc8a6a6c74d

Observation ad3735ba-5ec3-4e80-83be-3fb0261ea6a3 · inbound

AdaState: Self-Evolving Anchors for Streaming Video Generation cites this paper.

AdaState: Self-Evolving Anchors for Streaming Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:33:15.907937Z

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=2026-06-29T08:23:36.042003Z digest=sha256:2d9f25cb4a6e4bc0cd2841b835c6f83a84f38bc39162db5f11d2467d577b7fe4

Observation f4d46c0a-fa58-4715-87c2-c02c28721b30 · inbound

VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion cites this paper.

VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T08:23:15.442551Z

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=2026-06-29T08:17:30.660009Z digest=sha256:105d167022794960464280e465b1b429096e4043b4f34b99bcf4bcc5fb6a26ab

Observation 2a247fad-3c42-4a5b-b4df-7d473c9a5a14 · inbound

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation cites this paper.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:16:17.128441Z

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=2026-06-28T15:28:41.932618Z digest=sha256:d30c52c81d37dc6fcdddfff77c97bc1f0240fc6cc2f741022b830d47f2d6cbae

Observation 49fcf995-7fe0-4775-9686-c92463a9afc7 · inbound

AAD-1: Asymmetric Adversarial Distillation for One-Step Autoregressive Video Generation cites this paper.

AAD-1: Asymmetric Adversarial Distillation for One-Step Autoregressive Video Generation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T03:06:29.344818Z

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=2026-06-28T10:24:32.525652Z digest=sha256:fd397ebc48b8bcb50d719094c66bc6802279e60e336f01031e90f15ec2974571

Observation afbd6fbe-7d8f-42be-b153-aff2c1e3328d · inbound

DisCo: World Models with Discrete Camera Motion Control cites this paper.

DisCo: World Models with Discrete Camera Motion Control Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-02T20:37:22.463690Z

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=2026-06-27T20:21:20.257532Z digest=sha256:1f42fab4a04e4504ca2e2a90e9a9a226be7de65d1e29a28f6bd4e02b46570842

Observation 41c56d40-d823-4547-9292-dbc863c3c474 · 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 Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T00:37:29.780382Z

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=2026-06-27T17:07:57.743780Z digest=sha256:4616ce1289cbb5e9e7b64cb1db76beb709429757aaf1771e4e1682499190bb31

Observation f6e418fe-504d-4b1b-b1db-d9a5eb51e7d5 · inbound

Lip Forcing: Few-Step Autoregressive Diffusion for Real-time Lip Synchronization cites this paper.

Lip Forcing: Few-Step Autoregressive Diffusion for Real-time Lip Synchronization Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-03T04:47:38.052196Z

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=2026-06-27T13:40:14.506288Z digest=sha256:7c594a83d4ba17f7476c22c941dd2177519150ebf34893e499c5a3484c320304

Observation c9b7a260-9aea-494e-9ada-776cfef5a079 · inbound

UniTemp: Unlocking Video Generation in Any Temporal Order via Bidirectional Distillation cites this paper.

UniTemp: Unlocking Video Generation in Any Temporal Order via Bidirectional Distillation Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T23:59:07.565826Z

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=2026-06-26T21:31:48.844536Z digest=sha256:1a1f7b7a14ebe6071e2651b42a89060da0e7280f4a56fa7f851ac19d55b7852f

Observation 33c41ff0-1576-4900-91df-f2ed14cb93f2 · inbound

Towards Memory-Efficient Autoregressive Video Generation via Instance-Specific Parametric Absorption cites this paper.

Towards Memory-Efficient Autoregressive Video Generation via Instance-Specific Parametric Absorption Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T14:17:02.595190Z

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=2026-07-02T14:12:29.528065Z digest=sha256:7ec84b355e1d6a441d3ec24f6ad8be881e87ed7953f939c38521fafca23f65a3

Observation 4917b50f-6f35-4b29-a0d0-58d904216787 · inbound

Thinking in Video: Can Video Generators Really Reason About the Real World? cites this paper.

Thinking in Video: Can Video Generators Really Reason About the Real World? Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T17:47:12.237328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:47:12.237328Z digest=sha256:dd980bbf331c0b87ee2cb5457f3a9974ba744ce0445b4dc274c10a5555a01a8c

Observation 004c16ca-8efe-415b-b3d1-1cf14721d7eb · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:44.576266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:44.576266Z digest=sha256:018fe8ce092b2ae193f93cbedab1aad8d9322965f9502a09ed6ef6839f9fcac7