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The Invisible Editorial Layer: Formalizing Undisclosed Inference-Time Steering, Probability Placement, and the Attribution Problem in Deployed Language Models

arXiv:2608.24662v1 Announce Type: new Abstract: Large language models (LLMs) are commonly evaluated under the assumption that their observable behavior is primarily determined by model weights, traini

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26 Aug 2026

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Inference Headroom Ratio: A Diagnostic and Control Framework for Inference Stability Under Constraint

Amortized Factor Inference Networks for Posterior Inference

Post-ADC Inference: Valid Inference After Active Data Collection

The Economics of AI Inference: Inflation Dynamics, Welfare Costs, and Optimal Monetary Policy under the Inference-Cost Phillips Curve

From Inference Engine to Inference Control Plane: Connecting vLLM, llm-d, and the Evolution of Efficient Distributed LLM Serving

What Type of Inference is Active Inference?

High-Dimensional Simulation-Based Inference in Latent Spaces

Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling

From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models

Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference

Inference-Layer Security: Defending Against Adversarial Inference and Infrastructure Abuse

Joint Optimization of Memory and Computing Frequency for Energy-Efficient DNN Inference

Flying by Inference: Active Inference World Models for Adaptive UAV Swarms

Spectra: Exact Component Transport for Test-Time Prior Adaptation in Simulation-Based Inference

Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States

DART-FL: Burst-Aware Multitask Federated Learning under Dynamic Inference Demand at the Edge

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design

Agree on the Model, Verify the Inference: GKR Protocols for HND-Based Transformer Inference

Enabling Scalable Topology Inference in Distribution Systems via Constrained Multi-Source Inference

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models

DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference

The Invisible Editorial Layer: Formalizing Undisclosed Inference-Time Steering, Probability Placement, and the Attribution Problem in Deployed Language Models

Algorithm-Architecture Co-Design for Efficient VLA Inference via Speculative Inference and Verification

BALANCE: Hybrid Autoregressive-Speculative LLM Inference in Wireless Edge Networks

Deltoris: Enabling Real-time VLA Inference in Embodied AI via Bit-level Sparsity and Speculative Inference

The Right Inference Strategy Is All You Need: Nearly Training-Free Domain-Wise Inference for EgoCross Challenge

Optimal Model Activation Policies for Inference Networks of Large Language Models

Beyond Token-Level Guidance: Inference-Time Alignment of Specialized LLMs via Cross-Family Representation Steering

GreenBench: Benchmarking Energy Efficiency and Carbon Footprint of Open-Source LLM Inference on Apple Silicon

Characterization of Request and Token Energy Costs for LLM Inference Workloads on GPU Platforms

EcoVLA: Energy-Efficient Device-Edge Co-Inference for Vision-Language-Action Models under Real-Time Constraints

Exponential-Family Membership Inference: From LiRA and RMIA to BaVarIA

AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework

NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium

Amortized Variational Inference of Latent Intensities from Replicated Point Patterns

GitSwarm: Decentralized Compounding Inference

Pushing CPU Speech Synthesis to the Wall: Extreme Inference Tuning under Serverless Architecture and Billing

Hybrid Neural Simulation-Based Inference for Robust Applications and Limited-Budget Scenarios

Variational Mixtures and Multi-Marginal Flow Matching: Advancing Statistical Inference with Biological Applications

Dynamic Semantic Compression for Efficient Latent-Space Inference in Large Language Models

Black-Box Membership Inference via Word-Level Probability Estimation

Empirical Evaluation of Membership Inference Attacks on NLP Text Classifiers: A Baseline Study on SST-2

LeanStream: A Speculate-and-Refine Streaming Framework for Efficient on-Device LLM Inference

Training and Agentic Inference Strategies for LLM-based Manim Animation Generation

Cross-simulator transfer with foundation model summaries: Towards robust SKA-era reionization inference

Pushing the Envelope of LLM Inference with Ultra-Low-Bit Quantized Models

Causal inference for group-contaminated structured outcomes: observable quotients, lossless reduction and exact randomization inference