·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Neil Rimer thinks the AI money is coming back out2h◆The Steering Budget: Examples beat Knobs3h◆Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs3h◆RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination3h◆When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models3h◆SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation3h◆ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System3h◆LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets3h◆Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility3h◆Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation3h◆LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks3h◆OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios3h◆When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration3h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents3h◆Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoors3h◆ANet Patu-1: The Value of Connection in the Agent Network3h◆Automatically Evolving Prompt Guidelines for Task-Specific Optimization3h◆MAPS: Modeling Co-Existing Subjective Perspectives and Shared Meaning in Multi-Agent Cognitive Dialogue3h◆Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation3h◆Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions3h◆Neil Rimer thinks the AI money is coming back out2h◆The Steering Budget: Examples beat Knobs3h◆Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs3h◆RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination3h◆When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models3h◆SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation3h◆ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System3h◆LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets3h◆Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility3h◆Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation3h◆LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks3h◆OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios3h◆When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration3h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents3h◆Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoors3h◆ANet Patu-1: The Value of Connection in the Agent Network3h◆Automatically Evolving Prompt Guidelines for Task-Specific Optimization3h◆MAPS: Modeling Co-Existing Subjective Perspectives and Shared Meaning in Multi-Agent Cognitive Dialogue3h◆Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation3h◆Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions3h◆
News/Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions
arxiv
PublishedJuly 10, 2026 at 4:00 AM
—neutral

Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions

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

arXiv:2603.02204v2 Announce Type: replace Abstract: Selective conformal prediction can yield substantially tighter uncertainty sets when we can identify calibration examples that are exchangeable with the test example. In interventional settings, such as perturbation experiments in genomics, exchang

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
arxivThe Steering Budget: Examples beat Knobs3harxivPolestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs3harxivRxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination3harxivWhen a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models3h
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