Causal

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Period ending 2026-09-21

29 new papers

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Period ending 2026-09-07

19 new papers

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Causal Reasoning

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354 papersExplore

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Covariate Shift

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Causal Foundation Models

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Causal Inferences

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Causal Graph

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Structural Causal Model

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Heterogeneous Treatment Effects

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Latent Confounders

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Treatment

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Propensity

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40 papersExplore

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Causal Representation Learning

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33 papersExplore

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Causal Intervention

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944 papers

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Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation
May 14, 2026Min Zhao, Hongzhou Zhu, Kaiwen Zheng +6Causal Reasoning
Causal Foundation Models with Continuous Treatments
May 14, 2026Christopher Stith, Medha Barath, Vahid Balazadeh +2Causal Inferences Causal Foundation Models
Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict
May 14, 2026Yihang Chen, Pin Qian, Su Wang +4Knowledge Conflicts Compliance
GeoViSTA: Geospatial Vision-Tabular Transformer for Multimodal Environment Representation
May 14, 2026Yuhao Liu, Sadeer Al-Kindi, Ashok Veeraraghavan +1Geospatial Foundation Models Spatial Representation
When Individually Calibrated Models Become Collectively Miscalibrated
May 14, 2026Zhaohui WangGame Theory Incentives
Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
May 14, 2026Wenxin Chen, Weishen Pan, Kyra Gan +1Causal Inferences Treatment Effect
TILT: Target-induced loss tilting under covariate shift
May 14, 2026Kakei Yamamoto, Martin J. WainwrightDomain Adaptation Covariate Shift
Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling
May 13, 2026Seokha Moon, Minseung Lee, Joon Seo +2Autonomous Driving Trajectory Prediction
Causal Learning with the Invariance Principle
May 13, 2026Francesco Montagna, Francesco LocatelloStructural Causal Model Causal Graph
Towards a holistic understanding of Selection Bias for Causal Effect Identification
May 13, 2026Yiwen Qiu, Filip Kovačević, Shimeng Huang +2Selection Bias Heterogeneous Treatment Effects
Counterfactual Reasoning for Causal Responsibility Attribution in Probabilistic Multi-Agent Systems
May 13, 2026Chunyan Mu, Muhammad NajibMulti-Agent Systems Zero--Sum Differential Game
IV-ICL: Bounding Causal Effects with Instrumental Variables via In-Context Learning
May 13, 2026Vahid Balazadeh, Hamidreza Kamkari, Medha Barath +2Causal Inferences Quantile Regression
Robust Sequential Experimental Design for A/B Testing
May 13, 2026Qianglin Wen, Xiangkun Wu, Chengchun Shi +4Bayesian Experimental Design Two-Sample Testing
PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models
May 13, 2026Sridhar MahadevanCausal Reasoning Content Provenance
Digital Twins as Synthetic Controls in Single-Arm Trials
May 12, 2026Daniele Bertolini, Franklin Fuller, Aaron M. Smith +2Digital Twins Synthetic Samples
CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives
May 12, 2026Yihao Meng, Zichen Liu, Hao Ouyang +11Autoregressive Video Generation Autoregressive Generation
Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling
May 12, 2026Chenran Zhao, Dianxi Shi, Yaowen Zhang +2Cross-Task Knowledge Transfer Causal Graph
Investigating simple target-covariate relationships for Chronos-2 and TabPFN-TS
May 12, 2026Gaspard Berthelier, Mariia Baranova, Andrei-Tiberiu Pantea +4Time Series Foundation Models Covariate Shift
Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection
May 12, 2026Hui Li, Zhongquan Jian, Jinsong Su +1Misinformation Detection Natural Language Inference
Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions
May 12, 2026Jagdish Tripathy, Marcus BuckmannLarge Language Model Bias High-Stakes Decision
How Faithful Is Trajectory-Based Data Attribution? Error Sources, Remedies, and Practical Guidelines
May 12, 2026Junwei Deng, Pingbang Hu, Suliang Jin +4Training Data Attribution Causal Inferences
Learning U-Statistics with Active Inference
May 12, 2026Xiaoning Wang, Yuyang Huo, Liuhua Peng +1Generalized U-Statistics Statistical Inference
TRACE: Temporal Routing with Autoregressive Cross-channel Experts for EEG Representation Learning
May 12, 2026Fan Ma, Qier An, Peng Chen +6Electroencephalography Spatial Super-Resolution Temporal Deep Learning Framework
Causal Algorithmic Recourse: Foundations and Methods
May 12, 2026Drago Plecko, Collin Wang, Elias BareinboimCausal Reasoning Gaussian Copula
Causal Bias Detection in Generative Artificial Intelligence
May 12, 2026Drago PleckoGenerative Artificial Intelligence Causal Inferences
Causal Fairness for Survival Analysis
May 12, 2026Drago PleckoSurvival Analysis Fairness Constraints
Adaptive Policy Learning Under Unknown Network Interference
May 11, 2026Aidan Gleich, Eric Laber, Alexander VolfovskyThompson Sampling Treatment Effect
The Last Word Often Wins: A Format Confound in Chain-of-Thought Corruption Studies
May 11, 2026Gabriel GarciaChain-of-Thought Reasoning Correctness
An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum
May 11, 2026Suvi De Silva, Alfreds Lapkovskis, Alaa Saleh +2Tool Failures Causal Reasoning
A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
May 11, 2026Zheng Li, Feng Xie, Shenglan Nie +3Causal Foundation Models Conditional Independence
Amortizing Causal Sensitivity Analysis via Prior Data-Fitted Networks
May 11, 2026Emil Javurek, Dennis Frauen, Marie Brockschmidt +2Model Sensitivity Causal Inferences
CausalGS: Learning Physical Causality of 3D Dynamic Scenes with Gaussian Representations
May 11, 2026Nengbo Lu, Minghua PanFuture Video Prediction 3D Motion
ConfoundingSHAP: Quantifying confounding strength in causal inference
May 11, 2026Marie Brockschmidt, Santo M. A. R. Thies, Maresa Schröder +5Latent Confounders Causal Inferences
Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation
May 11, 2026George PanagopoulosHeterogeneous Treatment Effects Semiparametric Framework
Causal Explanations from the Geometric Properties of ReLU Neural Networks
May 11, 2026Hector Woods, Philippa Ryan, Rob AlexanderRectified Linear Unit Networks Causal Reasoning
Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality
May 11, 2026Shu Tamano, Masaaki ImaizumiCausal Inferences Conditional Distribution
Coarsening Linear Non-Gaussian Causal Models with Cycles
May 11, 2026Francisco Madaleno, Francisco C Pereira, Alex MarkhamCausal Representation Learning Structural Causal Model
Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions
May 11, 2026Tsuyoshi OkitaCausal Foundation Models Causal Reasoning
Causal state binding predicts action control in language agents
May 10, 2026Xiao JiaCausal Reasoning Next Activity Prediction
Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation
May 10, 2026Julien Lafrance, Richard Khoury, Véronique TremblayStructural Causal Model Fault Injection Experiments
Cplus2ASP: Computing Action Language C+ in Answer Set Programming
May 10, 2026Joseph Babb, Joohyung LeeAnswer Set Programming C++
Doubly Robust Proxy Causal Learning with Neural Mean Embeddings
May 10, 2026Bariscan Bozkurt, Alexandre Galashov, Dimitri Meunier +3Estimators Causal Reasoning
Hidden Error Awareness in Chain-of-Thought Reasoning: The Signal Is Diagnostic, Not Causal
May 10, 2026Aojie Yuan, Zhiyuan Julian Su, Haiyue Zhang +2Chain-of-Thought Reasoning Reasoning Errors
ACSAC: Adaptive Chunk Size Actor-Critic with Causal Transformer Q-Network
May 10, 2026Qian Chen, Junqiao Zhao, Hongtu Zhou +4Soft Actor-Critic Sparse Rewards
Learning to Bid with Unknown Private Values in Budget-Constrained First-Price Auctions
May 10, 2026Zihao Hu, Yuxiao Wen, Yuan Yao +2First-Price Auctions Primal-Dual Methods
Perception Without Engagement: Dissecting the Causal Discovery Deficit in LMMs
May 10, 2026Jiafeng Liang, Zhihao Zhu, Zihan Zhang +7Visual Evidence Causal Foundation Models
Neural Information Causality
May 10, 2026Jeongho Bang, Marcin PawłowskiInformation-Theoretic Limits Causal Representation Learning
CIVeX: Causal Intervention Verification for Language Agents
May 9, 2026Fabio RovaiCausal Intervention Causal Reasoning
CauSim: Scaling Causal Reasoning with Increasingly Complex Causal Simulators
May 9, 2026Nicolás Astorga, Anita Kriz, Mihaela van der SchaarLarge Language Model Reasoning Causal Reasoning
Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure
May 9, 2026Nilesh Sarkar, Dawar Jyoti DekaSparse Autoencoder Features Transformer Architectures
Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations
May 9, 2026Leopoldo BertossiXai Causal Reasoning
Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations
May 9, 2026Shanshan Zhu, Han Zhang, J. Doris Chi +2Epistemic Stance Causal Reasoning
Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
May 8, 2026Medha Agarwal, Alex LuedtkeHeterogeneous Treatment Effects Sinkhorn
Semiparametric Efficient Test for Interpretable Distributional Treatment Effects
May 8, 2026Houssam Zenati, Arthur GrettonHeterogeneous Treatment Effects Two-Sample Testing
Position: Mechanistic Interpretability Must Disclose Identification Assumptions for Causal Claims
May 8, 2026Zezheng Lin, Fengming LiuCausal Reasoning Mechanistic Interpretability
Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
May 8, 2026Nikita Dhawan, Daniel Shen, Leonardo Cotta +1Causal Inferences Model Sensitivity
Where's the Plan? Locating Latent Planning in Language Models with Lightweight Mechanistic Interventions
May 8, 2026Nicole Ma, Nick RuiPlanning Methods Causal Reasoning
Debiased Counterfactual Generation via Flow Matching from Observations
May 8, 2026Hugh Dance, Johnny Xi, Peter Orbanz +1Latent Confounders Conditional Distribution
Learning Large-Scale Modular Addition with an Auxiliary Modulus
May 8, 2026Hanato Kikuchi, Ryosuke Masuya, Kazuhiko Kawamoto +1Modular Addition Singular Learning Theory
Inference Time Causal Probing in LLMs
May 8, 2026Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash +1Subspace Intervention Framework Causal Reasoning

May 14, 2026 · cs.CVJ/K move · Enter open · S save

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

Min Zhao, Hongzhou Zhu, Kaiwen Zheng, Zihan Zhou+5

Tsinghua University · ShengShu · Renmin University of China

Real-time interactive video generation requires low-latency, streaming, and controllable rollout. Existing autoregressive (AR) diffusion distillation methods have achieved strong results in the chunk-wise 4-step regime by distilling bidirectional base models into few-step AR students, but they remain limited by coarse response granularity and non-negligible sampling latency. In this paper, we study a more aggressive setting: frame-wise autoregression with only 1--2 sampling steps. In this regime, we identify the initialization of a few-step AR student as the key bottleneck: existing strategies are either target-misaligned, incapable of few-step generation, or too costly to scale. We propose \textbf{Causal Forcing++}, a principled and scalable pipeline that uses \emph{causal consistency distillation} (causal CD) for few-step AR initialization. The core idea is that causal CD learns the same AR-conditional flow map as causal ODE distillation, but obtains supervision from a single online teacher ODE step between adjacent timesteps, avoiding the need to precompute and store full PF-ODE trajectories. This makes the initialization both more efficient and easier to optimize. The resulting pipeline, \ours, surpasses the SOTA 4-step chunk-wise Causal Forcing under the \textit{\textbf{frame-wise 2-step setting}} by 0.1 in VBench Total, 0.3 in VBench Quality, and 0.335 in VisionReward, while reducing first-frame latency by 50% and Stage 2 training cost by

\sim$$4\times

. We further extend the pipeline to action-conditioned world model generation in the spirit of Genie3. Project Page: https://github.com/thu-ml/Causal-Forcing and https://github.com/shengshu-ai/minWM .

Causal Reasoning

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