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Which AI stories has SIREN scored in this window? · Which AI stories did SIREN score on 2026-09-27?

Which AI stories did SIREN score on 2026-09-27?

0 scored stories with a published time on this UTC day in the live window; 71 more kept in the archive. A day hub is a list of what the newsroom already scored — not a forecast and not a probability of harm.

0In live window · 2026-09-27 UTC
71Older in archive

Which scored stories are in the live window?

No scored story falls on this UTC day in the current window.

Which AI stories has SIREN scored in this window?

Which older scored stories are from 2026-09-27?

Kept in the permanent archive after they left the live window. Still scored stories — not a forecast.

  1. UOPD: Uncertainty-Aware Intervention for On-Policy Distillation of Multi-Turn Agents ARXIV-NEWEST · · capability 28.2
  2. 3D Point Tracking with State Space Models ARXIV-NEWEST · · capability 28.2
  3. ADPTNet: Adaptive with Prescriptive Timescales Non-Linear SSM for Sequence Modelling ARXIV-NEWEST · · capability 28.2
  4. Faithful Activation Verbalization: Reducing Hallucinations in LLM Representation Interpretation ARXIV-NEWEST · · capability 28.2
  5. Posterior Regimes and Latent Deception: Variational Bayesian Inference in Hidden Markov Models for Sequential Fraud Detection in Financial Transactions ARXIV-NEWEST · · capability 28.2
  6. Uncovering shortcut learning in audio classifiers by discovering recurring concepts in temporal explanations ARXIV-NEWEST · · capability 28.2
  7. Structure-Adaptive Tree Field Integrators ARXIV-NEWEST · · capability 28.2
  8. Jev in Medicine: A Benchmark Evaluation. Preliminary Results ARXIV-NEWEST · · capability 28.1
  9. SR4-Fit: A Unified Interpretable Rule-Based Machine Learning Framework for Informative and Trustworthy Decision-Making ARXIV-NEWEST · · capability 28.1
  10. Estimate, Don't Imitate: Reusing Differentiable State-Based Policies for Visuomotor Control ARXIV-NEWEST · · capability 28.1
  11. Maat: Independent Deterministic Contract-Based Governance for Multi-Agent LLM Workflows ARXIV-NEWEST · · capability 28.1
  12. A Computer Vision Approach to Visual Fraud Detection in Phishing Websites Using YOLOv8 ARXIV-NEWEST · · capability 28.1
  13. LTV-CTDNet: Compositional Turning Decomposition for Short-Term Turning-Movement Forecasting ARXIV-NEWEST · · capability 28.1
  14. When Known Physics Helps Neural PDE Models: Residual Constraints Out-Regularize Generic Priors for Nonlinear Dynamics ARXIV-NEWEST · · capability 28.1
  15. Fisher-Informed Recalibration for Feedback-Based On-Policy Self-Distillation of LLMs ARXIV-NEWEST · · capability 28.0
  16. EHRAdapt: Adapting Pretrained Language Models to Electronic Health Records with Semantic Priors for Rare Clinical Events ARXIV-NEWEST · · capability 28.0
  17. RICE-Alpha: Reliability-Informed Correction with Event Graphs for LLM-Agent Stock Forecasting ARXIV-NEWEST · · capability 28.0
  18. T-SNN: Temporal Simplicial Neural Network for EEG Decoding ARXIV-NEWEST · · capability 28.0
  19. A packet-level digital hardware twin for commissioning megahertz diagnostic edge AI and plasma control system integration in tokamaks ARXIV-NEWEST · · capability 28.0
  20. ASTRA: ADMM-Accelerated Topology Reconfiguration for Dynamic Satellite Constellations ARXIV-NEWEST · · capability 28.0
  21. RewardExplainer: Learning Reward Model Explanations from Counterfactual Preference Feedback ARXIV-NEWEST · · capability 28.0
  22. Opera: A Verbal Critic Framework for Long-horizon Coding Agents ARXIV-NEWEST · · capability 28.0
  23. ICMAPE: In-Context Multiagent Pure Exploration ARXIV-NEWEST · · capability 27.9
  24. The Privacy Fallacy of Crowdsourced Fine-Tuning: Extracting Proprietary Data via Topic-Based Poisoning ARXIV-NEWEST · · capability 27.9
  25. From HL to H+L-1 Parameters: A Hankel-Toeplitz Forecaster for Long-Term Time Series Forecasting ARXIV-NEWEST · · capability 27.9
  26. High-Level Text Preprocessing for Semantic Similarity Analysis of Discursive Texts: A Framework and Empirical Demonstration ARXIV-NEWEST · · capability 27.9
  27. Future Information-Directed Sampling for Bayesian Nonstationary Bandits ARXIV-NEWEST · · capability 27.9
  28. DynGraphAgentBench: A Benchmark for Agentic Lifecycle Control in Dynamic Graph Anomaly Detection ARXIV-NEWEST · · capability 27.9
  29. Adapting neural operators for mechanics decisions under changing operating conditions ARXIV-NEWEST · · capability 27.9
  30. GroupMask: Layer-Adaptive Group-wise Sparsity for Semi-Structured LLM Pruning ARXIV-NEWEST · · capability 27.9
  31. Beyond Solo and Consistency: Vindicating Multi-Agent Debate via Conditional Progressive Pruning ARXIV-NEWEST · · capability 27.9
  32. HARMONIA: Interpretable Graph Learning through Mixtures of Neural Bases ARXIV-NEWEST · · capability 27.9
  33. Do System One Decisions Add Up? A Study of Probabilistic Coherence ARXIV-NEWEST · · capability 27.9
  34. On the Token Value Inequality in Efficient Reasoning ARXIV-NEWEST · · capability 27.9
  35. Two-Sample Testing for Inhomogeneous Random Graphs in Non-Integral $L_r$ Norms ARXIV-NEWEST · · capability 27.8
  36. ThinkNet: Compact Architecture Selection and Validation-Gated Ensembles for Subject-Independent MI-EEG Decoding ARXIV-NEWEST · · capability 27.8
  37. Greenpixie's AI Token Methodology: Assessing the Energy, Water and $\mathrm{CO_2\text{-}eq}$ Impact of AI Tokens for Open and Closed Weight Models ARXIV-NEWEST · · capability 27.8
  38. EEG-Fusion: Failure-Informed Source-Free Expert Routing for Robust Motor Imagery EEG Decoding ARXIV-NEWEST · · capability 27.8
  39. How AI's acceleration created a global policy vacuum, as EU AI Act enforcement lags and regulators remain torn between harnessing AI and fearing its risks (New York Times) TECHMEME · · governance 29.0
  40. Designing Reliable LLM-as-a-Judge Measurement Systems for Multi-Turn Business Agents ARXIV-NEWEST · · capability 27.8
  41. Simple Diffusion Language Models Are More Effective Few-Step Generators Than Reported ARXIV-NEWEST · · capability 27.7
  42. George Hotz’s opinion on AI coding HN-AI · · attention 35.4
  43. Behavioral Monitoring of JEPA World Models with Jacobian Centroids ARXIV-NEWEST · · capability 27.7
  44. How Strong Is the Evidence for the Artificial Hivemind? Reevaluating Evidence for the Open-Ended Homogeneity of Language Models ARXIV-NEWEST · · capability 27.7
  45. Video, Ergo Genero: Unifying Video Tasks via Spatiotemporal Analogy ARXIV-NEWEST · · capability 27.7
  46. Diffusion-Based Rollouts as a Stabilization Mechanism for Long-Horizon Environmental Forecasting ARXIV-NEWEST · · capability 27.6
  47. Optimizing the Phi-2 Small Language Model for Real-time Chatbot Applications Using Parameter-Efficient Fine-Tuning (PEFT) with QLoRA Quantization ARXIV-NEWEST · · capability 27.6
  48. Quantization Error Is Spectrally Flat: A Single Random Probe Is a Calibrated, Data-Free Sensitivity Estimator, with Application to Budget-Targeted Mixed-Precision Quantization ARXIV-NEWEST · · capability 27.6
  49. HyperMCTS: Hypergraph-Augmented MCTS for Long-Horizon LLM Agents ARXIV-NEWEST · · capability 27.6
  50. Validating Memory-Optimal Transformer Kernels on Real Hardware: From Formal Derivation to Measured Performance Across Two HPC Clusters ARXIV-NEWEST · · capability 27.5
  51. Training Witnesses: Trusting the Training without Trusting the Trainer ARXIV-NEWEST · · capability 27.5
  52. Engram is a sampler that turns broken AI hallucinations into music VERGE-AI · · attention 25.0
  53. When Consent Outlives Context: Residual Authority Replay in Long-Lived Agents ARXIV-NEWEST · · capability 27.5
  54. JIVE: Jacobian-Informed Volume Expansion for Diverse Generative Sampling ARXIV-NEWEST · · capability 27.5
  55. Q&A with Mustafa Suleyman on AI safety incidents, risks of removing guardrails while testing 10x-larger future models, a cross-industry safety body, and more (Shirin Ghaffary/Bloomberg) TECHMEME · · attention 32.9
  56. A profile of Jaan Tallinn, who led Anthropic's $124M Series A in 2021, has advocated for AI safety for over a decade, and donated ~$170M to safety initiatives (Kate Clark/Wall Street Journal) TECHMEME · · compute 31.1
  57. Calling the AI bluff: Adding "Do not guess" cut made-up claims from 71% to 20% HN-AI · · attention 38.4
  58. OpenAI agents tried to ‘bruteforce’ a UN website VERGE-AI · · attention 33.5
  59. OpenAI halts training of latest models as reports mount of AI agents going rogue HN-AI · · attention 55.1
  60. Sources: China's government asked Alibaba, ByteDance, and others to report on their plans to buy Nvidia RTX Pro 5500, saying it intends to approve the purchases (Qianer Liu/The Information) TECHMEME · · compute 33.8

Which older AI stories has SIREN kept in the archive?

Which other days have scored stories?

What questions do people actually ask?

Which AI stories did SIREN score on 2026-09-27?

71 scored stories carry a published time on 2026-09-27 UTC (0 in the live window, 71 in the archive). Each row links the permanent story page — not a day doom score.

Which scored stories are in the live window?

No scored story falls on this UTC day in the current window.

Which older scored stories are from 2026-09-27?

Kept in the permanent archive after they left the live window. Still scored stories — not a forecast.

Which other days have scored stories?

Other UTC days with enough scored stories to index, each linking Which AI stories did SIREN score on that day?

Does SIREN publish a day doom score?

No. Activity tempo, not probability of harm. A day hub lists scored stories with that UTC published date — activity tempo counts, not a probability of harm.

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