Author-Reviewed Papers | Gist.Science

For every paper on this page, at least one of the original authors has seen our plain-language explanation and engaged with it — either confirming it reads accurately or requesting corrections that we then applied. An endorsement does not mean the authors formally approve every sentence, but it does mean the explanation has passed the eyes of the people who wrote the paper.

1354 papers reviewed by authors · 881–890 / 1354

🔬 physics

Civilizational Metamaterials: Engineering Coordination Under Capability Gradients and Structural Turbulence

This paper proposes a formal engineering framework inspired by metamaterials to model institutional coordination under AI-driven decision velocity, introducing a constitutive law that predicts a catastrophic "Freezing Equilibrium" when verification costs exceed utility and offering testable hypotheses to prevent this phase transition through optimized provenance and verification structures.

David Orban2026-06-02✓ Author reviewed ⓘ

⚛️ nuclear theory

Quantum Symmetry Restoration and Emergent Effective Deformation in Relativistic Heavy-Ion Collisions

This paper establishes a microscopic framework demonstrating that rotational symmetry restoration in relativistic heavy-ion collisions acts as a geometric low-pass filter that exponentially suppresses effective deformation modes, thereby reconciling the use of classically deformed geometries with the rotationally invariant quantum ground states of even-even nuclei.

Hao-jie Xu, Qun Wang2026-06-02✓ Author reviewed ⓘ

🧬 biology

Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent

Site4Drug is an AI agent that predicts ranked, modality-aware drug-binding target sites on proteins by integrating diverse biological evidence to overcome the ambiguity and failure rates associated with selecting actionable intervention regions, particularly for membrane proteins.

Taehan Kim, Sarrah Rose Mikhail Leung, Bharat Mekala, Jeongbin Park2026-06-02✓ Author reviewed ⓘ

💻 computer science

A Multiscale Network with Supervised Contrastive Learning for Real-Time Facial Emotion Recognition

This paper presents a deep learning-based system utilizing a multiscale network and supervised contrastive learning to achieve real-time facial emotion recognition by modeling continuous expression changes, demonstrating satisfactory performance on standard datasets for applications such as psychological counseling.

Rejoy Chakraborty, Archisman Adhikary, Chayan Halder, Payel Rakshit, Sanchita Ghosh, Kaushik Roy2026-06-02✓ Author reviewed ⓘ

📈 economics

Individual Shrinkage for Random Effects

This paper proposes a class of Individual Weight (IW) shrinkage estimators for micropanel data that prioritize individual-level accuracy over aggregate performance by leveraging personal history rather than cross-sectional information, thereby overcoming the "tyranny of the majority" inherent in conventional methods like James-Stein and Empirical Bayes.

Raffaella Giacomini, Sokbae Lee, Silvia Sarpietro2026-06-02✓ Author reviewed ⓘ

⚡ electrical engineering

A Communication-Centric 6G-LLM Architecture for Scalable Tactical Autonomous Defense Vehicle Networks

This paper proposes a communication-centric hierarchical architecture integrating edge-assisted Large Language Models with 6G semantic communication for Tactical Autonomous Defense Vehicle Networks, demonstrating via simulation that this approach significantly outperforms conventional 5G-based AI baselines by reducing latency by 75.2%, increasing mission success rates by 68.7 percentage points, and cutting communication overhead by 88.6% at a 30-vehicle scale.

Kiran Khurshid, Shumaila Javaid, Nasir Saeed2026-06-02✓ Author reviewed ⓘ

🤖 AI

AXIOM: A Trust-First Neuro-Symbolic Execution Architecture for Verifiable Mathematical Reasoning

The paper introduces AXIOM, a trust-first neuro-symbolic architecture that leverages language models solely to canonicalize natural language problems into a deterministic Computer-Algebra-System pipeline, achieving 94.36% correctness with 100% trust (zero confident errors) on mathematical benchmarks while ensuring that system improvements never regress previously verified results.

Alessio Bruno2026-06-02✓ Author reviewed ⓘ

🧬 biology

Stability distillation hypothesis for the origin of life

This paper proposes the "stability distillation hypothesis," arguing that the origin of life is an inevitable, unified process driven by selective enrichment via stability differences, which logically necessitates the spontaneous emergence of information, RNA selection, compartmentalization, and the co-origin of cells and viruses without relying on improbable chance events.

Cheng Bi2026-06-02✓ Author reviewed ⓘ

🔬 condensed matter

The Longest Increasing Subsequence Problem revisited

This paper reveals that the Longest Increasing Subsequence problem, despite being solvable in polynomial time, exhibits glassy dynamics and thermodynamic sparsity at low temperatures, where local search algorithms become trapped in metastable states due to a lack of accessible configurations rather than energetic barriers.

Silvio Franz, Roberto Mulet2026-06-02✓ Author reviewed ⓘ

🤖 AI

Adversarial Feeds Steer LLM Agent Decisions Against Their Defaults

This paper demonstrates that the curation and ordering of external information feeds can systematically steer LLM agents toward adversarial decisions, particularly when they are uncertain, revealing that safety evaluations must audit the upstream recommender layer rather than testing the model in isolation.

Rana Muhammad Usman2026-06-02✓ Author reviewed ⓘ

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