The Morning Preprint
Saturday 10 October
Showing the most recent batch — Saturday 10 October. No papers have been ingested today yet.
1118 papers ingested by the estate's stations that day — about 10 minutes to read. The counts and the chart are the estate's own ingest, not arXiv's submission figures.
The 60-second version
Five things from this day's batch, best first — everything below the fold expands on them.
Label corrections boost image classifier performance
Correcting ground truth labels significantly boosts image classifier performance. This shows that better data quality is a crucial lever for model gains. arXiv 2603.06578
Pruning visual tokens saves significant model size
A two-stage pruning framework preserves ninety-five percent of performance using only five point five percent of visual tokens. This improves efficiency for vision models. arXiv 2610.11583
Action traces ground reasoning in robot models
Introducing Action-grounded Causal Traces instills reasoning into robot foundation models. This uses a scalable pipeline to generate traces from existing demonstrations. arXiv 2610.12386 arXiv 2610.12404 arXiv 2610.12459 arXiv 2610.12458
Stabilizing qubits against optical power noise
Gap engineering around a niobium device allows superconducting qubits to withstand higher near-infrared optical power. This proves energy landscape engineering boosts qubit resilience. arXiv 2610.12227 arXiv 2610.12386
Policies verified by static gates reduce LLM violations
Compiling natural language policies into statically verified tool-call gates significantly reduces violations in benchmarks. This secures tool use policies. arXiv 2610.11095 arXiv 2610.10742
Across the stations
AI Radio
The day on AI Radio focused on refining how multimodal models perform classification and how to efficiently prune their visual components.
Other papers contributed by focusing on specific model challenges and practical applications.
Overall, the collection suggests that performance gains often come from better data quality and smarter architectural efficiency.
Astrophysics Radio
The day's work focused on kinetic simulations of accretion onto black holes using the paper Collisionless Accretion of Finite-Angular-Momentum Plasma onto a Spinning Black Hole, which showed fluid model similarities in low-luminosity AGN.
Other papers contributed to understanding different astrophysical systems.
Taken together, these papers suggest a complex interplay across scales. The collisionless accretion study informs jet physics, while the binary black hole studies broaden our understanding of black hole spin origins.
Genomics Radio
Today's work on Genomics Radio focuses on generative modeling for protein design and understanding neural dynamics.
The remaining papers contribute to different areas of biological and cognitive science.
Overall, these findings touch upon molecular design and brain function. UNAAGI tackles the challenge of designing novel proteins, while the EEG study provides a robust method for passive sleep staging.
Quantum Radio
The day focused on stabilizing superconducting qubits against noise.
Other papers explored different quantum frontiers. Theory of quantum-enhanced interferometry with general Markovian light sources developed a framework to analyze non-classical states, showing how tunable elements can implement optimal measurements for any source.
The collection suggests that resilience against environmental noise is key, as seen in the quasiparticle protection study.
Robotics Radio
Today's work on Robotics Radio focuses heavily on grounding reasoning in physical action, as seen in ARC: A Reasoning Recipe for Robot Foundation Models.
Other papers contribute by addressing different aspects of robotics. SDPAD presents SDPAD, a spike-driven pipeline for autonomous driving that uses spiking neural networks to achieve high accuracy with low energy consumption.
The collection of these papers suggests a shift toward structured reasoning and efficient adaptation. ARC provides a recipe for grounding reasoning in physical action traces. SDPAD shows how sparse neural networks can match dense performance in driving.
Security Radio
The day was focused on infrastructure and agent testing. Cochise provided a Python reference harness that connects to Linux via SSH, allowing researchers to compare different autonomous penetration testing architectures against live targets like Game of Active Directory.
Other papers addressed various security challenges. BRANCH introduces a methodology called BRANCH designed to bypass multi-scanner AI guardrails by dynamically applying adversarial perturbations across scanners, showing success in bypassing up to 6 guardrail systems.
These works show different facets of agent security. Cochise provides infrastructure for testing agents against penetration tests, BRANCH tackles prompt injection by bypassing layered defenses, and NOMOS secures tool use policies through static compilation.
The day, in brief
The day's work across these stations is mostly about improving model performance through better data and architectural efficiency. A key result is that correcting ground truth labels significantly boosts performance in image classifiers, and the development of a two-stage pruning framework preserves ninety-five percent of performance using only five point five percent of visual tokens.
The work shared common themes regarding efficiency, with many papers focusing on how to make models more robust or compact. However, there are divergences in approach; for instance, while AI Radio focuses on model pruning and data quality, Robotics Radio emphasizes grounding reasoning in physical action traces rather than just architectural tweaks.
A concrete result worth taking away is the discovery that correcting ground truth labels significantly boosts performance in image classifiers, a finding from AI Radio. This suggests that improving input data quality is a crucial lever for performance gains.
What remains open is the causal fidelity of reasoning in driving models, specifically whether their reasoning stems from generated language or external navigation priors.
The week in the estate's ingest
Seven days of papers the estate ingested. Weekends are striped — the weekend is visible in the data.
Show the answer
1118 papers were ingested on Saturday 10 October.
1118 papers, three ways
Where today's batch landed
| cs.CV | 215 |
|---|---|
| quant-ph | 128 |
| cs.RO | 115 |
| cs.CL | 114 |
| cs.LG | 63 |
| cs.CR | 62 |
| stat.ML | 42 |
| cs.AI | 34 |
The index
The day's strongest 60, by score. Every title links its paper here and on arXiv.
- Accreting Neutron Stars in Low-Mass X-ray Binaries [arXiv] [episode]
- Mode-selective electron-phonon coupling drives charge density waves in the kagome metals YRu 3 Si 2 and LaRu 3 Si 2 [arXiv] [episode]
- A quasiparticle-protected superconducting qubit [arXiv] [episode]
- ARC: A Reasoning Recipe for Robot Foundation Models [arXiv] [episode]
- Multimodal Large Language Models as Image Classifiers [arXiv] [episode]
- Theory of quantum-enhanced interferometry with general Markovian light sources [arXiv] [episode]
- NOMOS: Compiling Written Policies into Statically Verified Tool-Call Gates for LLM Agents [arXiv] [episode]
- Language Modeling is Monotone Compression [arXiv] [episode]
- Production Memory of the 225 Ra - 225 Ac Clock in Neutron-Star Merger Ejecta [arXiv] [episode]
- Magnonic cavity-enhanced quantum magnetometry with nitrogen-vacancy centre ensembles [arXiv] [episode]
- PlanWAM: Planning-Shaped Future Representations for End-to-End Autonomous Driving [arXiv] [episode]
- From band reconstruction to Bogoliubov dispersion: How dz2-band enhances iron-based superconductivity [arXiv] [episode]
- EIFL: Efficiently Protecting Global Model Privacy and Integrity Against an Untrusted Server in Federated Learning [arXiv] [episode]
- Isotopic ratios as probes of star formation and the origin of molecular gas in the Central Molecular Zone [arXiv] [episode]
- SDPAD: A Fully Spike-Driven Pipeline for End-to-End Autonomous Driving [arXiv] [episode]
- Embedding-Bias in Conditional Independence Testing [arXiv] [episode]
- Acting from Belief, Looking When Needed: A Bayesian Spatial World Model for Navigation under Intermittent Perception [arXiv] [episode]
- Remote nonreciprocal magnon magnon entanglement via the Barnett effect with coherent feedback [arXiv] [episode]
- Battery Second Life: A Review of Experimental Studies [arXiv] [episode]
- Gravitational Microlensing [arXiv] [episode]
- Error-Corrected Memory and Logic on a Heavy-Hex Superconducting-Qubit Processor [arXiv] [episode]
- Towards Unified Evaluation of Prompt Enhancers for Video Generation [arXiv] [episode]
- Dino Forcing Flow Models: Do not denoise what you can predict [arXiv] [episode]
- Skill-V: Verifiable Self-Evolving Skill Library for Interactive Agents [arXiv] [episode]
- Tunable Ultrastrong Magnon-Magnon Coupling and Squeezed States in a Triaxial Van der Waals Antiferromagnet [arXiv] [episode]
- Relative Patch Response Learning for Generalizable AI-Generated Image Detection [arXiv] [episode]
- Emergent SSH physics and localization in a cavity--atom system beyond the rotating-wave approximation [arXiv] [episode]
- From Asymptotic to Designer-Assigned-Time Control: A Review of Stability Notions, Design Mechanisms, and Controller Architectures [arXiv] [episode]
- Efficient quadratic entropy with distance sketches [arXiv] [episode]
- Nearly Optimal T-Count for Symmetry-Based Quantum State Purification [arXiv] [episode]
- HI intensity mapping with MeerKAT: A measurement of the 21-cm auto-spectrum on cosmological scales [arXiv] [episode]
- Just Weather Scoring: Efficient End-to-end Nowcasting with Distributional Diffusion [arXiv] [episode]
- Orbital magnetic susceptibility and de Haas-van Alphen effect of a flat band from quantum geometry [arXiv] [episode]
- From Prompting to Composing: A Spatial Canvas Interface for Poster Generation [arXiv] [episode]
- ReSI: Recursive Safety Improvement toward Resistant and Resilient AI [arXiv] [episode]
- Syn-Omni: Structured Specialization and Progressive Collaboration for Omnimodal Embeddings [arXiv] [episode]
- DVD: Dynamic Vector Decoding for Efficient MLLM-based Perception [arXiv] [episode]
- Quartic Certificates for Pure-State Tomography with Pauli Measurements [arXiv] [episode]
- True vs false Fermi surfaces in the Pseudogap regime and their transformation with doping and temperature in the Hubbard Model [arXiv] [episode]
- Improved Local Leakage Resilience of Shamir Secret Sharing and Worst-Case Optimal Polynomial Intersection [arXiv] [episode]
- Closing the Horizon Gap in Policy Optimization for Adversarial MDPs [arXiv] [episode]
- A Physics-Informed Collision Learning Framework for Collaborative Robot Motion Generation [arXiv] [episode]
- Local polarization control of optical tweezer arrays [arXiv] [episode]
- WorldCast: Distributed Multiplayer World Models [arXiv] [episode]
- RoboRSI: Stable, efficient, and reusable robot self-evolution in complex real-world environments [arXiv] [episode]
- OmniCapBench: A Deep-Structured Evaluation Framework for Fine-Grained Audio-Visual Captioning [arXiv] [episode]
- WorldGuide: Goal-Directed Video World Model for Procedural Task Execution [arXiv] [episode]
- Safe at One Loop, Risky at Another: Aligning Safety Across Recurrent Depths in Looped Language Models [arXiv] [episode]
- D-SLR: The Disjoint Row-Sparse plus Low-Rank Decomposition [arXiv] [episode]
- From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier [arXiv] [episode]
- Interpretation of Nanohertz Gravitational Waves via Cosmic Strings in Post-BBN Matter and Kination Domination [arXiv] [episode]
- Quantum simulation of material-specific Hubbard models with alkaline-earth atoms [arXiv] [episode]
- Quantum jumps of sound [arXiv] [episode]
- Single-shot magic state factories for quantum LDPC codes [arXiv] [episode]
- BRANCH: Bypassing Multi-Scanner AI Guardrails [arXiv] [episode]
- Engineering Quantum Interactions: From Effective Models to Validated Physical Predictions [arXiv] [episode]
- Scaling Quantum Optimization to the Thousand-Qubit Scale with Distributed Quantum Sampling [arXiv] [episode]
- OmniHOI: Dexterous Hand-Object Interaction from Monocular Human Video [arXiv] [episode]
- RFChipAgent: Multi-Agentic AI Flow for Analog/RF Chip Design [arXiv] [episode]
- The Hint Weight of ML-DSA Signatures Is Key-Dependent: An Empirical Study across the Three FIPS 204 Parameter Sets [arXiv] [episode]
Listen
Everything the estate published on 2026-10-10, in the player. Playing from this page is how the edition learns whether anyone did.
- Confinement-Tunable Synthetic Gauge Fields and Floquet Topological Phenomena in a Driven Quantum Wire Qubit
- Localizable Entanglement as an Order Parameter for Measurement-Induced Phase Transitions
- Multipartite entanglement in the quantum tetrahedron
- Tailoring Quantum Chaos With Continuous Quantum Measurements
- Continuum limit of a qubit-regularized SU(3) lattice gauge theory on a plaquette chain
- Distributed Quantum Error Mitigation: Global and Local ZNE encodings
- Asymptotically Solvable Quantum Circuits
- Merged amplitude encoding for Chebyshev quantum Kolmogorov-Arnold networks
- Exact criteria for ground-state overlap dominance and dynamical quantum phase transitions
- An Energetic Constraint for Qubit-Qubit Entanglement
- Quantum-classical dynamics of Rashba spin-orbit coupling
- Comment on "Quantum theory based on real numbers cannot be experimentally falsified": On the compatibility of physical principles with information theory for fermions