Vol. 1 (2026): Archive

Published: 2026-10-29

Methods Review

Causal Discovery with Foundation Models: Evidence, Assumptions, and Evaluation

Paul Hughes (Author)
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Research Article

Inventory Pledge Risk Prediction for Industrial Enterprises Using Warehouse Knowledge Graph Inference

Hiroshi Tanaka, Yuki Nakamura (Author)
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Review

Small Language Models for Resource-Constrained Applied AI

Peter Simmons (Author)
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Evaluating Tool-Using Language Agents in Open-Ended Environments

Richard Foster (Author)
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Fairness Under Distribution Shift: From Static Metrics to Adaptive Assurance

Sean Bryant (Author)
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Reproducible Multimodal Benchmarking Beyond Aggregate Accuracy

Seth Griffin (Author)
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Review Article

Enhancing Multi-Modal Relation Extraction with Reinforcement Learning Guided Graph Diffusion Framework: Deployment and Systems Integration

Russell Coleman, Trent Richardson, Warren Harrison (Author)
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Temporal Changes in Affiliation and Emotion in MOOC Discussion Forum Discourse: Risk Stratification and Threshold Selection

Jared Marshall, Kieran Bailey, Landon Reynolds (Author)
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Open cotton boll detection using LiDAR point clouds and RGB images from unmanned aerial systems: Scalability and Operational Maintainability

Miles Spencer, Nolan Freeman, Preston Woods (Author)
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Automated Molecular Concept Generation and Labeling with Large Language Models: Human Oversight and Decision Accountability

Tanner Lawson, Troy Johnston, Wade Gardner (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Provenance, Traceability, and Auditability

Bryce Carlson, Carson Newman, Chase Morrison (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Failure Modes and Error Containment

Dalton Franklin, Drew Pearson, Elliott Barrett (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Resource Efficiency and Performance Trade-offs

Felix Fletcher, Graham Burke, Heath Armstrong (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Interface Design and Evidence Communication

Lance Keller, Mitchell Wagner, Parker Robertson (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Attributing Performance to Model Components

Reed Harper, Russell Bishop, Trent Montgomery (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Robustness Under Distribution Shift

Warren Hudson, Zach Wheeler, Abram Perkins (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Deployment and Systems Integration

Brooks Fleming, Clayton Chandler, Dawson Stevenson (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Uncertainty and Sensitivity Analysis

Emmett Henderson, Finn Stewart, Grayson Phillips (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Reproducibility and Reporting Standards

Holden Bennett, Jared Parker, Kieran Foster (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Monitoring Performance and Model Drift

Landon Wallace, Miles Morgan, Nolan Turner (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Risk Stratification and Threshold Selection

Preston Collins, Reid Walker, Sawyer Carter (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Scalability and Operational Maintainability

Spencer Mitchell, Tanner Sullivan, Troy Campbell (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Evaluation Design and Construct Validity

Wade Hayes, Wyatt Coleman, Alec Richardson (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Human Oversight and Decision Accountability

Brett Harrison, Bryce Murphy, Carson Peterson (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: From Benchmark Results to External Validity

Chase Griffin, Dalton Powell, Drew Edwards (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Causal Claims and Confounding

Elliott Sanders, Felix Hughes, Graham Fisher (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Adaptation and Calibration Across Domains

Heath Chapman, Ivan Marshall, Jake Bailey (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Multimodal Alignment and Information Fusion

Kent Reynolds, Lance Spencer, Mitchell Freeman (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Open Science and Comparative Benchmarking

Parker Woods, Reed Patterson, Russell Jenkins (Author)
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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Provenance, Traceability, and Auditability

Trent Crawford, Warren Lawson, Zach Johnston (Author)
AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Failure Modes and Error Containment

Abram Gardner, Brooks Hoffman, Clayton Schmidt (Author)
AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Interface Design and Evidence Communication

Kieran Barrett, Landon Fletcher, Miles Burke (Author)
Critical Roles of Chalcogenide Anion on Strengthening Stability of Ni 2 Mo 6 Te 8 for Almost Exclusive Electrocatalysts Nitrate to Ammonia Conversion: Multimodal Alignment and Information Fusion

Bryce Gardner, Carson Hoffman, Chase Schmidt (Author)
EEFOLLM - LLM-guided reward shaping for electric eel foraging optimization in robot path planning: Evaluation Design and Construct Validity

Holden Stevenson, Jared Henderson, Kieran Stewart (Author)
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EEFOLLM - LLM-guided reward shaping for electric eel foraging optimization in robot path planning: From Benchmark Results to External Validity

Preston Foster, Reid Wallace, Sawyer Morgan (Author)
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Simulations of Tapered Channel in Multilayer Graphene as Reverse Osmosis Membrane for Desalination: Multimodal Alignment and Information Fusion

Reid Hughes, Sawyer Fisher, Spencer Chapman (Author)
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Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning: Evaluation Design and Construct Validity

Dalton Lawson, Drew Johnston, Elliott Gardner (Author)
PhysEditWorld - A Large-Scale Dataset Toward Physics-Editable World Models: From Benchmark Results to External Validity

Ivan Carlson, Jake Newman, Kent Morrison (Author)
Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning: Multimodal Alignment and Information Fusion

Warren Davidson, Zach Holland, Abram Hawkins (Author)
PhysEditWorld - A Large-Scale Dataset Toward Physics-Editable World Models: Provenance, Traceability, and Auditability

Emmett Harper, Finn Bishop, Grayson Montgomery (Author)
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Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning: Interface Design and Evidence Communication

Spencer Bennett, Tanner Parker, Troy Foster (Author)
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Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning: Robustness Under Distribution Shift

Brett Collins, Bryce Walker, Carson Carter (Author)
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