Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T01:36:53.029590Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 100 of 113 outbound references and 100 inbound Pith citation observations for arXiv:2506.08009.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T01:36:53.029590Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:09:13.645793Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
100 of 113 outbound references displayed
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Observation 578b8bc9-ef05-49f9-8417-281d709bf81a · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Block diffusion: Interpolating between autoregressive and diffusion language models
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d67d6f53-56bb-49a2-be07-1f0cf8980fd4 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Toward one-second latency: Evolution of live media streaming.IEEE Communications Surveys & Tutorials
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 102ac161-4c01-4a19-b371-84f71d9a07ab · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 33262d86-3ebf-4b6c-8c2e-b56daa495fc6 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Align your latents: High-resolution video synthesis with latent diffusion models
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 491d179a-3a5a-49b2-b4be-9832679a8a96 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Generating long videos of dynamic scenes.NeurIPS
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bd363c4c-597b-4d07-ae40-f73b2c87bfe6 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Video generation models as world simulators
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d2172c7a-f27f-4cb6-a377-05b46fa04bb9 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Genie: Generative interactive environments
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8127958a-1ad4-43a4-908b-739237f5c14b · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Diffusion forcing: Next-token prediction meets full-sequence diffusion
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 00682b39-ba19-4527-9dd0-83f065d3b68c · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Streaming Video Diffusion: Online Video Editing with Diffusion Models
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 47be411e-0349-4f65-be91-78a19ca8cf22 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion SkyReels-V2: Infinite-length Film Generative Model
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae2faadb-a07d-4eb5-b841-8af11526dbd8 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Oasis: A universe in a transformer
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7d5a059e-c83d-4dba-ad0f-16bf25ad7f50 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Causal Diffusion Transformers for Generative Modeling
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ef4e11c2-1293-49a2-9334-790d60d59692 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Autoregressive video generation without vector quantization
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e34f0958-36bd-4bb3-864c-96f0dd9d7b08 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Unsupervised learning of disentangled representations from video
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 91cbba34-4b26-4742-8e3f-2747bd661701 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Flex Attention: A Programming Model for Generating Optimized Attention Kernels
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4f9735f1-ae02-45dc-8a3d-0ad4c05d0e04 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation eb7c4b6d-9853-48e9-91cd-56a65320ca51 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Long video generation with time-agnostic vqgan and time-sensitive transformer
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 343d5a26-4911-470d-a41c-67b0d3961726 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Generative adversarial nets
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b9f91b42-9989-4c9f-8058-21cf8735e15f · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Mamba: Linear-time sequence modeling with selective state spaces
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8b32dd3e-5116-4066-aa54-064ff8ce043c · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Long-Context Autoregressive Video Modeling with Next-Frame Prediction
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a1b3dfd5-29ca-42fd-a9ab-c236b201591a · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6c0d6521-52c3-41c3-ad36-e9ab732fda96 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Long Context Tuning for Video Generation
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fc71d48b-529b-4e83-9108-e61b9287e9e6 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Photorealistic video generation with diffusion models
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b8bff021-56ef-4dd3-b0e8-76c5d9f66940 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion LTX-Video: Realtime Video Latent Diffusion
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9d2c2196-c7dd-43dd-bfa6-2c64d12c5592 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Imagen Video: High Definition Video Generation with Diffusion Models
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1e071fa1-718f-4ae8-87de-ecb8e19fba9c · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Video diffusion models
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 399a6983-41fe-4dc7-8b94-b4972a0c692a · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Cogvideo: Large-scale pretraining for text-to-video generation via transformers
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 101f224b-4c8b-4309-9077-2086249465a7 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Acdit: Interpolating autoregressive conditional modeling and diffusion transformer.arXiv preprint arXiv:2412.07720
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 38929b41-e337-4160-b77a-e0cf3fea77c6 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion The gan is dead; long live the gan! a modern gan baseline
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d642d901-edfb-4a69-a41a-431413feaaba · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Flow Generator Matching
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a8fb6ddb-650c-4056-8a61-6eed348891db · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion VBench: Comprehensive benchmark suite for video generative models
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7a79aa20-bc9e-42da-bb74-fec635a824c5 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion On stabilizing generative adversarial training with noise
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8172f34b-87f5-4ef5-a3b3-1ac7f0c75876 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Pyramidal flow matching for efficient video generative modeling
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b21af946-7b2f-479d-9ed1-e7f30fb733fc · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion The relativistic discriminator: a key element missing from standard gan
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2e23d623-1742-462e-b251-c5a4cc82fcd0 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Fifo-diffusion: Generating infinite videos from text without training
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 554f1112-236e-474d-a27b-6b1bdce732cd · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Variational diffusion models
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5cf920f1-7420-40fc-a61c-805c3bbe564c · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Auto-encoding variational bayes
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b12621ff-9b6e-4066-ab1d-45a2831bb9f5 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Videopoet: A large language model for zero-shot video generation
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 611dfa89-06ed-4ec1-ab3c-c1103e286331 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c9dee08a-e030-46d0-a0aa-8421be56bfcc · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Professor forcing: A new algorithm for training recurrent networks
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dadca4ad-3945-49c3-a53b-abc40088c4e0 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Latency reducing in real-time internet video transport: A survey.SSRN 4654242
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8659c518-883f-4b35-b9e0-95f9366fb765 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Unified Video Action Model
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ce8d7df8-0424-4072-a141-ba903e5fbc4c · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Autoregressive image generation without vector quantization
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 33810364-874c-4383-9762-f9f767abcb9d · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Infinitenature-zero: Learning perpetual view generation of natural scenes from single images
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 37a04a05-ab1a-47d3-bbe3-ccc29c05950a · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Arlon: Boosting diffusion transformers with autoregressive models for long video generation
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b2c22b4f-9df7-4a7d-83ba-66674e8f3bc7 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Looking backward: Streaming video-to-video translation with feature banks
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation abc0b03f-aaba-4b43-98d5-5c975cdfacd3 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Diffusion adversarial post-training for one-step video generation
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 117e8110-0349-427e-9dd7-8484d5aaa26f · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Flow matching for generative modeling
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b218aaf5-5fde-473e-bd0e-fbf63e0b5bd0 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Infinite nature: Perpetual view generation of natural scenes from a single image
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2338f9ea-a91d-416f-9df8-7d2b94a55ea3 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion MarDini: Masked Autoregressive Diffusion for Video Generation at Scale
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a3ae60f9-d43b-4366-9343-ca4f327a1397 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Flow straight and fast: Learning to generate and transfer data with rectified flow
Reference 51
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 292f8333-52fc-4a42-b2fb-25b1522f83a3 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approach
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cda5b317-bf10-4a5b-9491-bd3be58499d9 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Autoregressive Diffusion Transformer for Text-to-Speech Synthesis
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b7037612-5123-46bb-a9fb-9c4cf779d2ec · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Diff-instruct: A universal approach for transferring knowledge from pre-trained diffusion models
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 983eb2a2-275c-4d1e-ab60-57ab3f01dfa6 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion One-step diffusion distillation through score implicit matching.NeurIPS
Reference 55
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3f7af2ee-2f59-4648-b7ed-d2dcae36eb1b · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Osv: One step is enough for high-quality image to video generation
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d8465a89-4596-4f38-a887-e8364e504d10 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion The parallelism tradeoff: Limitations of log-precision transformers
Reference 57
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 83bcb66f-9bcb-40fa-9157-d651503fca81 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Which training methods for gans do actually converge? InICML
Reference 58
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 03b976e2-9cc8-4901-bbb0-4a0dfa934104 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion X-Fusion: Introducing New Modality to Frozen Large Language Models
Reference 59
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 220e4f4e-c64e-415d-b524-c4d9be409050 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Elucidating the exposure bias in diffusion models
Reference 60
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2d5885e6-95a0-44e4-a7b4-dd2b6534ac10 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Genie 2: A large-scale foundation world model
Reference 61
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 651630fb-a745-42f4-a81e-da46e64fd150 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Scalable diffusion models with transformers
Reference 62
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1773a11a-af1e-4a1a-bcd0-d78ee8101786 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Long-Context State-Space Video World Models
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9ef452e8-00bb-4656-8cfa-3fb41a957153 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Movie Gen: A Cast of Media Foundation Models
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 916f331a-be55-4cc5-819c-3341c42ac6a2 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Sequence level training with recurrent neural networks
Reference 65
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 299005e7-5dae-43e3-a942-e23d7afb4a41 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Next Block Prediction: Video Generation via Semi-Autoregressive Modeling
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 98cd7701-8b35-48a6-9df4-a52742177621 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Rolling diffusion models
Reference 67
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5b63dcc8-4c1e-4621-8adc-2bde9313c94a · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Temporal generative adversarial nets with singular value clipping
Reference 68
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1947f5b0-f4f9-45ea-a750-4f59853e09a4 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Magi-1: Autoregressive video generation at scale
Reference 69
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 68d7fe07-af11-469b-ab76-228fe8095649 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Fast high-resolution image synthesis with latent adversarial diffusion distillation
Reference 70
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1d02ec0b-3299-48dd-ab03-8fc7d3e483ac · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Generalization in generation: A closer look at exposure bias.EMNLP-IJCNLP 2019, page 157
Reference 71
Source-reported events for the cited work
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Observation f3c4ddbf-60ee-4b7e-8bca-fe0a1dade102 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Flashattention-3: Fast and accurate attention with asynchrony and low-precision
Reference 72
Source-reported events for the cited work
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Observation 1777d8df-4bcd-49fc-a8af-bb5eacbbf7a3 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion History-Guided Video Diffusion
Reference 73
Source-reported events for the cited work
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Observation 3e98f328-1a98-4216-b28a-6815cceb434c · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Consistency models
Reference 74
Source-reported events for the cited work
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Observation ee582ce0-91b3-46f8-bb0f-c66d3250575e · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Maximum likelihood training of score-based diffusion models
Reference 75
Source-reported events for the cited work
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Observation ca27b528-d215-4009-80b1-4922d894c60b · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Ar-diffusion: Asynchronous video generation with auto-regressive diffusion
Reference 76
Source-reported events for the cited work
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Observation 0bd09ef1-6f36-417b-884c-0158f601fb02 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Mocogan: Decomposing motion and content for video generation
Reference 77
Source-reported events for the cited work
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Observation 55d1d800-fc8a-4dc1-a84c-7fa6ccaaeb2a · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Diffusion models are real-time game engines
Reference 78
Source-reported events for the cited work
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Observation 56d7bea6-d033-49e2-a94f-98d43347a0d9 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Neural discrete representation learning
Reference 79
Source-reported events for the cited work
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Observation 4455c6c9-c8c0-43c3-8a74-dd695ee4d22b · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Phenaki: Variable length video generation from open domain textual descriptions
Reference 80
Source-reported events for the cited work
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Observation b1e4912e-2f5c-4ee9-bd7d-f14b4d0df936 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Decomposing motion and content for natural video sequence prediction
Reference 81
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 685f6623-835b-49fb-a1e5-5b86b80d4eb3 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Generating videos with scene dynamics
Reference 82
Source-reported events for the cited work
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Observation 4de981b9-8abe-4236-8e5c-d11887423ac7 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Wan: Open and Advanced Large-Scale Video Generative Models
Reference 83
Source-reported events for the cited work
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Observation 60d57355-b178-4658-abad-247a631237e4 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Error analyses of auto-regressive video diffusion models: A unified framework
Reference 84
Source-reported events for the cited work
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Observation 7737c95b-35ad-4a98-93be-f369df4416a4 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Vidprom: A million-scale real prompt-gallery dataset for text-to-video diffusion models
Reference 85
Source-reported events for the cited work
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Observation 4dad1b58-0de1-4a3d-a9d1-2327fcd5b564 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Loong: Generating Minute-level Long Videos with Autoregressive Language Models
Reference 86
Source-reported events for the cited work
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Observation ef434170-3596-45f4-8e82-cfa23c33adb9 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation.NeurIPS
Reference 87
Source-reported events for the cited work
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Observation 3248f5ef-1dfa-4a65-9ec5-bafca809dabe · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Scaling autoregressive video models
Reference 88
Source-reported events for the cited work
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Observation 69c18a36-2a55-4cd2-9266-4e300e9b039a · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Art-v: Auto-regressive text-to-video generation with diffusion models
Reference 89
Source-reported events for the cited work
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Observation 8e4c3dc0-b0b4-49cd-b975-d52a80857da8 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Ar-diffusion: Auto-regressive diffusion model for text generation
Reference 90
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f786153b-a237-454b-95bf-7deba8ddc8c9 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Snapgen-v: Generating a five-second video within five seconds on a mobile device
Reference 91
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5420f233-904a-4f68-9178-aa32c62964c2 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Efficient streaming language models with attention sinks
Reference 92
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d325a6a4-0c08-4fc1-a512-a76d20bc2f51 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Progressive Autoregressive Video Diffusion Models
Reference 93
Source-reported events for the cited work
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Observation 299e0be9-4709-4616-915b-6c0875ffcf4d · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion VideoGPT: Video Generation using VQ-VAE and Transformers
Reference 94
Source-reported events for the cited work
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Observation c6de5ddb-aaaf-4b27-9d49-93d8baaf8f71 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Qwen2.5 Technical Report
Reference 95
Source-reported events for the cited work
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Observation 4666ea00-a484-401c-9d8b-f11ee11cff2d · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Learning interactive real-world simulators
Reference 96
Source-reported events for the cited work
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Observation 4ec8584c-f7a4-4a12-9425-39dbb2c54a0c · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Cogvideox: Text-to-video diffusion models with an expert transformer
Reference 97
Source-reported events for the cited work
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Observation f0a305a6-890c-4c82-84cc-2202cb18daf5 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Improved distribution matching distillation for fast image synthesis.NeurIPS
Reference 98
Source-reported events for the cited work
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Observation 463b37c1-a6ae-40c8-9478-409b3bb78dac · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion One-step diffusion with distribution matching distillation
Reference 99
Source-reported events for the cited work
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Observation c711562d-03a8-44db-8caa-ead485d0be32 · outbound
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion From slow bidirectional to fast autoregressive video diffusion models
Reference 100
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 54c4999a-b2e9-4b94-8672-a54342520c57 · inbound
Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0fd06437-33d2-472f-b709-377e3c43767c · inbound
Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 2021
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d9c8bfd-9578-4c35-ad8f-a267699440f4 · inbound
LoViC: Efficient Long Video Generation with Context Compression Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3549a2f9-caa9-48b2-966b-6d7b27cc6f5d · inbound
Pusa V1.0: Unlocking Temporal Control in Pretrained Video Diffusion Models via Vectorized Timestep Adaptation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b1d41bd-ba2d-4e04-802a-1fcb01ba7dbf · inbound
Matrix-game 2.0: An open-source real-time and streaming interactive world model Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 18
Source-reported events for the cited work
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Observation ba5f92c1-72e2-4b84-bedc-659cd488f886 · inbound
Flow marching for a generative PDE foundation model Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 27
Source-reported events for the cited work
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Observation 441c9f73-9846-43bc-9667-77bb96220295 · inbound
LongLive: Real-time Interactive Long Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1f701f3b-434b-4010-a4c7-c7beb56e0a46 · inbound
Rolling Forcing: Autoregressive Long Video Diffusion in Real Time Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 70
Source-reported events for the cited work
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Observation 18c1d836-f672-4126-b9ca-e7cfac754ca5 · inbound
Self-Forcing++: Towards Minute-Scale High-Quality Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 21
Source-reported events for the cited work
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Observation b3fbeacd-022b-46e7-af9c-7e69dc82dee6 · inbound
Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime! Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9da87e67-4fcf-494e-96c0-f0f61b6eeb93 · inbound
Control-Augmented Autoregressive Diffusion for Data Assimilation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2a330b6f-a18b-4580-adc2-ad69dd53a828 · inbound
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 10
Source-reported events for the cited work
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Observation 513b40a9-42de-4561-9786-3ab5d6693b6b · inbound
Cloning Deterministic Worlds: The Critical Role of Latent Geometry in Long-Horizon World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d9f66215-8139-4c13-9f9d-4de44b3a0649 · inbound
Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8b72514e-b85a-4576-a79e-d343757eee97 · inbound
BIFE: Better Interaction, Fewer Errors for Minute-Long Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bbd5641-707d-4e84-9ae0-8f849cf8d0bb · inbound
Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cfbac149-1467-4cb7-b140-b48b69acd3e4 · inbound
Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e4ec63e-f914-4354-80d3-2a61eb037f1f · inbound
Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 30
Source-reported events for the cited work
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Observation 3a6ea606-cd11-4f47-b833-e4eb3313b7c3 · inbound
Distribution Matching Variational AutoEncoder Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d06dde71-6ff5-44d4-a0cd-c9768ce582bc · inbound
WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3defc845-6b14-46a8-af97-b4b7b2ac0b2a · inbound
STARCaster: Spatio-Temporal AutoRegressive Video Diffusion for Identity- and View-Aware Talking Portraits Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0024932-e629-4f7a-8fc3-7123fb162a36 · inbound
WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b79fb749-b6f3-4e83-8ba4-393e169ba84c · inbound
WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61111f2f-fc98-4202-8e54-689eeb1f8696 · inbound
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b095d61-5880-4d6c-9a71-6f08c31b7a3c · inbound
Large Video Planner Enables Generalizable Robot Control Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 930e776f-fb83-4eca-88aa-fb1a9ed46c67 · inbound
Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bf95d7f-8626-4faf-9050-0149749af736 · inbound
SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8da3fbd-8283-4042-895a-d9c6577377e3 · inbound
Transition Matching Distillation for Fast Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfb10b01-e54a-432c-93df-13319eb5ab9f · inbound
Advancing Open-source World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3b606d9d-06d7-43d0-8c47-f44da136f992 · inbound
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c9da6182-d1dd-44c2-b84e-c6c1e16e5992 · inbound
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 28dd4b54-ef7d-4bad-9e1a-941f5f5ac44a · inbound
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 344d57a0-3b84-445f-b9f4-d73cb2e147a9 · inbound
Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 00870348-5122-4d80-9a2b-13afb686843c · inbound
Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2126c9aa-8825-4e67-91a7-ad84018ea083 · inbound
Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7656c70-6a2a-4a09-8c50-63ae29857d0e · inbound
SynthForensics: Benchmarking and Evaluating People-Centric Synthetic Video Deepfakes Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0e62bd52-2d15-480a-bbfb-50601633d2a4 · inbound
Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 83cdffda-753c-467b-85c2-6817a9d57bf5 · inbound
RISE: Self-Improving Robot Policy with Compositional World Model Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cb43ca7b-8642-4ed0-b9d1-39661d434e96 · inbound
Latent Generative Solvers for Generalizable Long-Term Physics Simulation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 32cf6f5a-9fd5-4e50-9be7-f15357e5127a · inbound
EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 51656547-767d-408f-8411-4c131d1cd1a8 · inbound
WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a11e67e2-907b-4cdf-893e-6c169d6b9f97 · inbound
World Action Models are Zero-shot Policies Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3ecd02e1-5725-4e8f-b0f5-e458e778e781 · inbound
UCM: Unified Modeling of Camera Control and Memory with Time-aware Positional Encoding Warping for World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34df3ac6-001d-4bfe-b725-74839451b061 · inbound
GeoWorld: Geometric World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a3f216af-b4b9-4324-a2f6-64810069be24 · inbound
ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08b39d50-d12d-4255-ae7b-04dcc988592b · inbound
VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12879bd4-a172-43d0-9b92-4658eab2ce44 · inbound
AR-CoPO: Align Autoregressive Video Generation with Contrastive Policy Optimization Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b1f0287-47c8-460d-b0b4-3aa35361f9b8 · inbound
ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 75102867-81bb-447d-940e-4d724eac8954 · inbound
MuSteerNet: Human Reaction Generation from Videos via Observation-Reaction Mutual Steering Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a423a6e7-f48a-4c20-a9b6-83c9e2bff728 · inbound
I3DM: Implicit 3D-aware Memory Retrieval and Injection for Consistent Video Scene Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cdc0ceb-0d57-49a2-8e89-8598b6527a75 · inbound
Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 21cfc8df-0d6a-40dc-8f2c-615a7029aa4d · inbound
Evolution of Video Generative Foundations Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 92
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8d778f67-cedf-479b-a24b-8193469cee74 · inbound
Grounded Forcing: Bridging Time-Independent Semantics and Proximal Dynamics in Autoregressive Video Synthesis Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b832f390-1a62-491a-b268-798f8a467844 · inbound
INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 99f41c3e-a70a-448e-b9b1-936e18295cd7 · inbound
LPM 1.0: Video-based Character Performance Model Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 69
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 66d3b328-18d6-41f6-bcaf-a0c28c9a973d · inbound
ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cbaa8a7f-c5f3-45df-bd3b-886ed8f2df7e · inbound
Lighting-grounded Video Generation with Renderer-based Agent Reasoning Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 357e4927-7a2e-4e73-ade0-63a223780f9e · inbound
Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83fbd391-dc06-4c2e-994a-4cbf3871dbf0 · inbound
DiV-INR: Extreme Low-Bitrate Diffusion Video Compression with INR Conditioning Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 53b60662-929e-4b12-bc56-29732c98dda7 · inbound
Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2a1491a6-ed61-42e0-942a-78a47701fb9d · inbound
Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bf83eb8c-ca66-440f-8a53-5685ac55a413 · inbound
Lyra 2.0: Explorable Generative 3D Worlds Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8eb0e04e-c812-4373-adfc-e026746e6d05 · inbound
DiT as Real-Time Rerenderer: Streaming Video Stylization with Autoregressive Diffusion Transformer Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1c62217c-2e22-4ff5-b158-714a72d3e312 · inbound
From Synchrony to Sequence: Exo-to-Ego Generation via Interpolation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation caa3b6ee-941c-421b-a5b9-7535765fe2d3 · inbound
From Synchrony to Sequence: Exo-to-Ego Generation via Interpolation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b93cd7fa-d3b0-4901-94b3-81c7add578a8 · inbound
HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b37966fc-e6c7-44f0-9909-c4b307c00b10 · inbound
TurboTalk: Progressive Distillation for One-Step Audio-Driven Talking Avatar Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 32019b4a-72f4-4457-8982-91b7bf59a90f · inbound
Efficient Video Diffusion Models: Advancements and Challenges Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 297
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0f447374-8d99-4fb6-9616-90fc977ac98b · inbound
Repurposing 3D Generative Model for Autoregressive Layout Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a67ce22a-459d-4326-a356-923c0e085dc4 · inbound
Human Cognition in Machines: A Unified Perspective of World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 71
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f1aae549-6382-4a31-8eec-c09459df0f6f · inbound
Speculative Decoding for Autoregressive Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8844f294-d861-4043-aadb-5c4bb320bed4 · inbound
Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 152fc266-e4a2-4b25-ac6a-109ddffa4dec · inbound
MultiWorld: Scalable Multi-Agent Multi-View Video World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3fccc004-b223-446e-b585-879e26e18665 · inbound
PortraitDirector: A Hierarchical Disentanglement Framework for Controllable and Real-time Facial Reenactment Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0692e593-6002-4dfe-841f-c907c9d10e36 · inbound
CityRAG: Stepping Into a City via Spatially-Grounded Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 166990e0-61ce-4b93-a422-f010cbaed368 · inbound
X-Cache: Cross-Chunk Block Caching for Few-Step Autoregressive World Models Inference Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9069cd3b-5865-4702-bcb0-7128b31aaff7 · inbound
Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 21241ca2-7b16-48ae-97d7-2da3470ee5b6 · inbound
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 155
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation be963475-1a69-4c46-bcb0-a0b6561be7d3 · inbound
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 155
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0d1901f3-6911-45e9-a7ce-09e36467ce6c · inbound
Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation with Asynchronous Dual-Stream and Human-Centric Preference Distillation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 89be9538-ebd0-4085-9823-8a620f7ee2e8 · inbound
A Systematic Post-Train Framework for Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ee8c4a9c-1b08-4428-9553-2b28688cab89 · inbound
Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4f4ee25b-536b-491f-8b82-73a8ac3f2495 · inbound
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d6831395-87f5-447f-ae13-daa5a933fc9f · inbound
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a69dbc51-67f2-4b6a-9975-3fc625b83bff · inbound
AsymTalker: Identity-Consistent Long-Term Talking Head Generation via Asymmetric Distillation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c3d78d1d-3c7e-4c31-b38e-7203400c4b0d · inbound
AsymTalker: Identity-Consistent Long-Term Talking Head Generation via Asymmetric Distillation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ecba1afa-6e99-4a87-b56f-9a2335b6f74d · inbound
Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e0127b0a-35f7-4e7e-9a01-0c0503386fb4 · inbound
Stream-T1: Test-Time Scaling for Streaming Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 38ff8182-cb1a-46b5-ab65-69412d05fc42 · inbound
D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 44243efc-bede-42db-9e84-1649d295bf85 · inbound
D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 305b9139-d664-40a2-a70d-565efc2005b9 · inbound
D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d33539ee-4185-4895-899a-4bf7ab8fbf27 · inbound
RealCam: Real-Time Novel-View Video Generation with Interactive Camera Control Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e2db436d-e6de-455e-98f7-65eee5e27e9e · inbound
FreeSpec: Training-Free Long Video Generation via Singular-Spectrum Reconstruction Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 85a5eb79-c4e9-4422-bc7a-4707e91b9caf · inbound
FlashMol: High-Quality Molecule Generation in as Few as Four Steps Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2f4720bc-1bb9-4f6f-9803-64edf7fd90b1 · inbound
Sword: Style-Robust World Models as Simulators via Dynamic Latent Bootstrapping for VLA Policy Post-Training Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 55e756c5-8acb-4f63-9d1a-33f93c0b7a9f · inbound
ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3671d792-ab5c-40a0-b0e5-8f24434c72e5 · inbound
ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d2dd4fd6-b2d8-482a-8673-38f75d11cb1b · inbound
Unison: Harmonizing Motion, Speech, and Sound for Human-Centric Audio-Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a4ff9e15-f28c-4930-aec3-f6a4c4a9c6c4 · inbound
Unison: Harmonizing Motion, Speech, and Sound for Human-Centric Audio-Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 78bff942-2c9e-4f44-8a1d-d267b3ced9ee · inbound
SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.