·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
UN says AI safeguards can’t wait for certainty1h◆Amazon doesn’t trust Meta’s Muse AI agent1h◆LoRA Enhanced Contrastive Learning with SAS Vision Transformers7h◆Hallucination-R1: Robustness-Oriented Paraphrase Generation for Factual Consistency7h◆TatBLiMP: A Benchmark of Linguistic Minimal Pairs for Tatar7h◆Runtime Authorization for Resources Acquired by AI Agents7h◆JudgeSense: A Benchmark for Prompt Sensitivity in LLM-as-a-Judge Systems7h◆Multi-Domain Clustering via Measure Quantization7h◆Generative inversion for early ranking of competing geologic interpretations7h◆CaLR: Causal Latent Revision for Robust Diffusion Reasoning7h◆Can Agents Design Better Chips with a Higher Level Abstraction?7h◆SpecOpt: Contact-Diff Reasoning for Agentic Molecule Optimization Toward Binding Specificity7h◆AI-GRACE: A Use-Case Operationalization Framework for Agentic AI: From Organizational Objectives and Obligations to Deployment Capabilities and Architecture7h◆Information-Gain Rewards over Diversity-Pruned Tests: GT-Anchored Verifier Co-Training for Reliable Code Generation7h◆One Prompt Does Not Fit All: Self-Meta-Evolve for Personalized Information Extraction7h◆GUARD: Natural Forgetting in Large Reasoning Models via Guided Answer-Reasoning Distillation7h◆Listen Before You Speak: Response Planning from Listener Facial Reactions for Conversational Speech Generation7h◆World Modeling in Transformers7h◆FOCAL-VLA: Subtask-Guided Geometry Distillation and Implicit World Modeling for Vision-Language-Action Models7h◆KnowDemo: Knowledge-Guided Robot Demonstration Generation from Human Videos7h◆UN says AI safeguards can’t wait for certainty1h◆Amazon doesn’t trust Meta’s Muse AI agent1h◆LoRA Enhanced Contrastive Learning with SAS Vision Transformers7h◆Hallucination-R1: Robustness-Oriented Paraphrase Generation for Factual Consistency7h◆TatBLiMP: A Benchmark of Linguistic Minimal Pairs for Tatar7h◆Runtime Authorization for Resources Acquired by AI Agents7h◆JudgeSense: A Benchmark for Prompt Sensitivity in LLM-as-a-Judge Systems7h◆Multi-Domain Clustering via Measure Quantization7h◆Generative inversion for early ranking of competing geologic interpretations7h◆CaLR: Causal Latent Revision for Robust Diffusion Reasoning7h◆Can Agents Design Better Chips with a Higher Level Abstraction?7h◆SpecOpt: Contact-Diff Reasoning for Agentic Molecule Optimization Toward Binding Specificity7h◆AI-GRACE: A Use-Case Operationalization Framework for Agentic AI: From Organizational Objectives and Obligations to Deployment Capabilities and Architecture7h◆Information-Gain Rewards over Diversity-Pruned Tests: GT-Anchored Verifier Co-Training for Reliable Code Generation7h◆One Prompt Does Not Fit All: Self-Meta-Evolve for Personalized Information Extraction7h◆GUARD: Natural Forgetting in Large Reasoning Models via Guided Answer-Reasoning Distillation7h◆Listen Before You Speak: Response Planning from Listener Facial Reactions for Conversational Speech Generation7h◆World Modeling in Transformers7h◆FOCAL-VLA: Subtask-Guided Geometry Distillation and Implicit World Modeling for Vision-Language-Action Models7h◆KnowDemo: Knowledge-Guided Robot Demonstration Generation from Human Videos7h◆
News/MIRCID: Inferred Hub-miRNAs Drive Cross-Task Improvements in Drug Mechanistic Modeling
arxiv
PublishedSeptember 21, 2026 at 4:00 AM

MIRCID: Inferred Hub-miRNAs Drive Cross-Task Improvements in Drug Mechanistic Modeling

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

arXiv:2609.21280v1 Announce Type: new Abstract: Drug mechanism-of-action (MoA) modeling commonly relies on perturbational transcriptomes, but matched microRNA (miRNA) measurements are often unavailable. Inferred regulatory features offer a scalable way to reuse these data. Here, we present MIRCID, a

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
arxivLoRA Enhanced Contrastive Learning with SAS Vision Transformers7harxivHallucination-R1: Robustness-Oriented Paraphrase Generation for Factual Consistency7harxivTatBLiMP: A Benchmark of Linguistic Minimal Pairs for Tatar7harxivRuntime Authorization for Resources Acquired by AI Agents7h
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