·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Deezer’s new tool can identify AI music from Spotify, Apple Music, and others1h◆Pool’s new app turns your screenshots into something useful2h◆DoorDash’s new AI chatbot lets you order with prompts and photos3h◆Anthropic apologizes for invisible Claude Fable guardrails6h◆Google DeepMind is worried about what happens when millions of agents start to interact6h◆Deezer launches an AI music detector for other streaming services9h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing13h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning13h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!13h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation13h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions13h◆The Impossibility of Eliciting Latent Knowledge13h◆Mapping Scientific Literature with Large Language Models and Topic Modeling13h◆Grounding Computer Use Agents on Human Demonstrations13h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models13h◆LSTM based IoT Device Identification13h◆StanceNakba Shared Task: Actor and Topic-Aware Stance Detection in Public Discourse13h◆Breaking the Ice: Analyzing Cold Start Latency in vLLM13h◆Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models13h◆DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?13h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others1h◆Pool’s new app turns your screenshots into something useful2h◆DoorDash’s new AI chatbot lets you order with prompts and photos3h◆Anthropic apologizes for invisible Claude Fable guardrails6h◆Google DeepMind is worried about what happens when millions of agents start to interact6h◆Deezer launches an AI music detector for other streaming services9h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing13h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning13h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!13h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation13h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions13h◆The Impossibility of Eliciting Latent Knowledge13h◆Mapping Scientific Literature with Large Language Models and Topic Modeling13h◆Grounding Computer Use Agents on Human Demonstrations13h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models13h◆LSTM based IoT Device Identification13h◆StanceNakba Shared Task: Actor and Topic-Aware Stance Detection in Public Discourse13h◆Breaking the Ice: Analyzing Cold Start Latency in vLLM13h◆Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models13h◆DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?13h◆
News/BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression
arxiv
PublishedJune 10, 2026 at 4:00 AM
—neutral

BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.10135v1 Announce Type: cross Abstract: Transitioning bidirectional video diffusion models into an autoregressive paradigm improves the interactivity of video world models, but existing causal pipelines need many stages (control fine-tuning, autoregressive training, causal initialization,

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivMODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning13harxivPosition: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!13harxivARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation13harxivGeneralizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions13h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews