PreprintNot peer reviewedQuantum ComputingResearchers report a risk signal that targets costly decoding search in qLDPC codesOriginal title: Adaptive decoding of quantum LDPC codes through decoder disagreementA preprint proposes using disagreement between two decoder estimates to decide which quantum error-correction syndromes need expensive extra search.Maida Wang et al. · Added 7 Oct 2026
PreprintNot peer reviewedQuantum ComputingPreprint details quantum-walker qRAM design cutting active hardware needsOriginal title: Technical analysis of the Resource-efficient Quantum Walkers Quantum Random Access MemoryA preprint gives a full technical breakdown of a quantum-walker qRAM that the authors say needs far fewer active components than earlier designs.Giuseppe De Riso et al. · Added 7 Oct 2026
PreprintNot peer reviewedQuantum ComputingPreprint reports syndrome motif method boosting matching-based quantum error decodersOriginal title: SMP: A General Hyperedge-Based Framework for Circuit-Level Quantum Error CorrectionA preprint presents SMP, a lightweight add-on that helps fast matching decoders handle correlated hyperedge faults in quantum error correction.Siying Wang et al. · Added 7 Oct 2026
PreprintNot peer reviewedimecArtificial IntelligenceResearchers report a tool that audits model specs for internal contradictionsOriginal title: Detecting Inconsistencies in Model Specifications with LLM-as-Verifier ReasoningA preprint describes VeriSpec, which uses an LLM verifier to find conflicting rules in OpenAI's Model Spec.Added 7 Oct 2026
PreprintNot peer reviewedFrom IQM Quantum ComputersQuantum ComputingResearchers report compact quantum circuits for molecular ground-state preparationOriginal title: Hardware-Efficient Ground-State Preparation using Variational Imaginary-Time Majorana EvolutionA preprint describes a classical pre-training method, VIME, that prepares molecular ground states with far fewer quantum gates than prior approaches.Added 7 Oct 2026
PreprintNot peer reviewedArtificial IntelligenceResearchers report reinforcement learning fixes an AI theorem-falsification blind spotOriginal title: Counterexample Generation via Per-Theorem Symbolic Verifiers: When Imitation Hurts and Reinforcement RepairsA preprint finds that counterexample-only imitation training harms false-theorem detection, while reinforcement learning with a verifier reward repairs and improves it.Omar Farouk Zouak et al. · Added 7 Oct 2026
PreprintNot peer reviewedFrom PleIAsArtificial IntelligenceResearchers report a fully synthetic Wikipedia-derived corpus trains competitive small LLMsOriginal title: It's All Training: A Fully Synthetic Single-Stage Recipe for LLMsA preprint reports that models trained only on a synthetic corpus derived from Wikipedia can match similarly sized open models using far fewer tokens.Added 7 Oct 2026
Conference paperReview status unknownFrom IBMArtificial IntelligenceLLM-based tool flags Linux kernel patches fixing serious memory bugsOriginal title: What Do They Fix? LLM-Aided Categorization of Security Patches for Critical Memory BugsA conference paper presents DualLM, a tool combining an LLM and a fine-tuned small model to spot Linux patches fixing out-of-bounds and use-after-free bugs.Added 7 Oct 2026 · Released Jan 2026
PreprintNot peer reviewedFrom xDotsQuantum ComputingPreprint compares quantum circuit layouts for noisy single and distributed processorsOriginal title: Constant-Per-Layer-Depth MPS-Pretrained Ansatz for Noisy Distributed Quantum ProcessorsA preprint reports that a shallow brick-wall circuit design outperforms deeper alternatives under noise, and extends this to modular quantum processors.Added 7 Oct 2026
PreprintNot peer reviewedArtificial IntelligenceA preprint proposes a framework to test whether LLMs reflect group differences in surveysOriginal title: Population Fidelity: Evaluating Population Representativeness in LLMsResearchers introduce Population Fidelity, a framework separating accuracy, variation and structure to evaluate how well LLMs represent subgroup differences in survey responses.Neemias B. da Silva et al. · Added 7 Oct 2026
PreprintNot peer reviewedQuantum ComputingResearchers report full logical gate set for high-rate quantum codes without extra qubitsOriginal title: Construction of the full logical Clifford group for high-rate quantum Reed-Muller codes using only transversal and fold-transversal gatesA preprint describes building every logical Clifford gate for a family of quantum Reed-Muller codes using only transversal and fold-transversal operations.Theerapat Tansuwannont et al. · Added 7 Oct 2026
PreprintNot peer reviewedArtificial IntelligenceResearchers report a method blending RL and distillation for LLM post-trainingOriginal title: Distilled Reinforcement Learning for LLM Post-trainingA preprint proposes Distilled RL, which folds teacher guidance into reinforcement learning to help student models learn new skills more selectively.Chen Wang et al. · Added 7 Oct 2026
PreprintNot peer reviewedArtificial IntelligenceA preprint reports a gating method to separate number IDs from maths in LLMsOriginal title: ANI: Adaptive Numerical Injection for Unifying Semantic and Arithmetic Representations in Numerical ReasoningResearchers propose ANI, which selectively injects numerical embeddings into LLMs only when a number is used arithmetically, not as an ID.Jinsung Jeon et al. · Added 7 Oct 2026
PreprintNot peer reviewedArtificial IntelligenceResearchers report LLMs’ reasoning text often doesn’t match their internal computationsOriginal title: Making LLMs Say What They Think: Measuring and Improving CoT-Interpretability AlignmentA preprint introduces a metric to measure whether an LLM's chain-of-thought matches what the model actually computes internally, and shows post-training can improve this.Yihuai Hong et al. · Added 7 Oct 2026
PreprintNot peer reviewedFrom Alice & BobQuantum ComputingA preprint proposes an entropy-based shortcut to estimate quantum error correction thresholdsOriginal title: Entropy threshold: A simple proxy for performance of quantum error correctionResearchers report a simple entropy-based proxy that estimates QEC thresholds without heavy simulations, matching numerical results fairly well.Added 7 Oct 2026
PreprintNot peer reviewedArtificial IntelligencePreprint proposes dependency graphs to give RL agents step-by-step creditOriginal title: Dependency-Aware Reward Shaping for Agentic Reinforcement LearningA preprint reports a reward-shaping method that tracks task prerequisites to assign step-level credit in agentic reinforcement learning.Ziyi Chen et al. · Added 7 Oct 2026
PreprintNot peer reviewedFrom BaiduArtificial IntelligenceResearchers propose highlight-then-summarize method to improve long-context LLM reasoningOriginal title: Highlight-Then-Summarize: Learning to Compress Evidence for Long-Context UnderstandingA preprint introduces H2S, a method that extracts evidence then summarises it before answering, reportedly boosting long-context benchmark scores.Added 7 Oct 2026
PreprintNot peer reviewedFrom QuEra ComputingQuantum ComputingNew method efficiently simulates fidelity of large non-Clifford quantum circuitsOriginal title: Efficient fidelity simulation of high-rate magic distillation circuitsA preprint presents classical algorithms to efficiently estimate fidelity of fault-tolerant circuits with many non-Clifford gates.Added 7 Oct 2026
PreprintNot peer reviewedArtificial IntelligencePreprint: cheap open-weight judge panels can often stand in for costly AI judgesOriginal title: RAIM: Robust Aggregation of Inexpensive Models for Hallucination DetectionA preprint reports that aggregating ten small open-weight language models can approach a frontier model's performance at a fraction of the cost for detecting hallucinations.Elia Onofri et al. · Added 7 Oct 2026
PreprintNot peer reviewedQuantum ComputingResearchers report quantum algorithm shortcut for simulating multi-exciton states in materialsOriginal title: Quasiparticle quantum simulation of materials with the Bethe-Salpeter equationA preprint reports a quasiparticle-based quantum algorithm that could sharply cut the computing cost of simulating multi-exciton states in semiconductors.Jielun Chen et al. · Added 7 Oct 2026
