·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Neil Rimer thinks the AI money is coming back out7h◆The Steering Budget: Examples beat Knobs8h◆Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs8h◆RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination8h◆When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models8h◆SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation8h◆ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System8h◆LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets8h◆Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility8h◆Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation8h◆LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks8h◆OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios8h◆When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration8h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents8h◆Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoors8h◆Large Audio Language Models for Spoofing-Aware Speaker Verification8h◆ANet Patu-1: The Value of Connection in the Agent Network8h◆Automatically Evolving Prompt Guidelines for Task-Specific Optimization8h◆MAPS: Modeling Co-Existing Subjective Perspectives and Shared Meaning in Multi-Agent Cognitive Dialogue8h◆Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation8h◆Neil Rimer thinks the AI money is coming back out7h◆The Steering Budget: Examples beat Knobs8h◆Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs8h◆RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination8h◆When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models8h◆SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation8h◆ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System8h◆LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets8h◆Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility8h◆Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation8h◆LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks8h◆OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios8h◆When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration8h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents8h◆Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoors8h◆Large Audio Language Models for Spoofing-Aware Speaker Verification8h◆ANet Patu-1: The Value of Connection in the Agent Network8h◆Automatically Evolving Prompt Guidelines for Task-Specific Optimization8h◆MAPS: Modeling Co-Existing Subjective Perspectives and Shared Meaning in Multi-Agent Cognitive Dialogue8h◆Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation8h◆
News/Seed Hijacking of LLM Sampling and Quantum Random Number Defense
arxiv
PublishedMay 13, 2026 at 4:00 AM

Seed Hijacking of LLM Sampling and Quantum Random Number Defense

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

arXiv:2605.08313v1 Announce Type: cross Abstract: Large language models (LLMs) rely on deterministic pseudorandom number generators (PRNGs) for autoregressive sampling, creating a critical supply-chain attack surface overlooked by existing defenses. We present SeedHijack, a backdoor attack that mani

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 Knobs8harxivPolestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs8harxivRxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination8harxivWhen a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models8h
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