Latest Research in Artificial Intelligence

2,765 research papers · 0.0 average citations · 2026 median publication year

Top Research Topics in Artificial Intelligence

Highest-Cited Papers

  1. Clean Word, Clean Function: Language as an Input Regulator in Human–AI Processes (2 citations)
  2. Recursive Contextual Closure: Longitudinal Loss of Epistemic Permeability in Persistent Human-AI Ecosystems (Position Paper) (3 citations)
  3. Proof Engine Infrastructure: A Claim-Graph Framework for AI-Assisted Mathematical Research
  4. The Instrument — GFIS: A Verifiable Agentic Research Pipeline. Methods Note (System State as of 31 July 2026) (5 citations)
  5. Functional Does Not Mean Fake: Toward a Concept of Artificial Feeling (3 citations)
  6. Recursive Sycophancy: When an LLM Addresses the Yes-Master Problem by Reproducing It (4 citations)
  7. Corruption as Functional Capture: From Diverted Flow to Self-Reproducing Systemic Environments (4 citations)
  8. 36 — Emergent Interaction Density Within the 0-6-6-6-7 Adaptive Architecture (4 citations)
  9. UnisonAI: A Computational Proof of Derived Law with Zero Trained Parameters (2 citations)
  10. False Execution Status in LLM-Guided Processes: From Functional Substitution to Pseudo-Trace Contamination (2 citations)
  11. Closing the Agentic Responsibility Gap: Default-Deny Governance and Mandatory Authorship (Meniw Protocol + Raíz ID) (2 citations)
  12. The collective turing test: large language models can generate realistic multi-user discussions (1 citations)
  13. WEO Methodology Manual: Systematic Tracking of AI Infrastructure Coordination Dynamics Across Geopolitical Blocs (4 citations)
  14. AIME2: toward a unified algebraic theory of explainability via approximate inverse operators (1 citations)
  15. Standardized Observability Taxonomies for Multi‑Agent AI Systems in Decentralized Networks
  16. Demystifying the Black Box: Overcoming AI Intimidation by Building the Engine
  17. AI Saturation-Splitting Hypothesis: Structural Limits of Self-Improving AI
  18. Standardized Observability Taxonomies for Multi‑Agent AI Systems in Decentralized Networks
  19. AI Saturation-Splitting Hypothesis: Structural Limits of Self-Improving AI
  20. Demystifying the Black Box: Overcoming AI Intimidation by Building the Engine
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2026 AUG Q1

Artificial Intelligence

2,765 papers

Top Topics (10)

Artificial Intelligence309
Ethics and Social Impacts of AI278
Scientific Computing and Data Management140
Computation and Language135
Explainable Artificial Intelligence (XAI)94
Embodied and Extended Cognition91
Multi-Agent Systems and Negotiation91
Adversarial Robustness in Machine Learning66
Human-Computer Interaction59
Computers and Society46

Top Publications (20)

1.Clean Word, Clean Function: Language as an Input Regulator in Human–AI Processes2c2.Recursive Contextual Closure: Longitudinal Loss of Epistemic Permeability in Persistent Human-AI Ecosystems (Position Paper)3c3.Proof Engine Infrastructure: A Claim-Graph Framework for AI-Assisted Mathematical Research4.The Instrument — GFIS: A Verifiable Agentic Research Pipeline. Methods Note (System State as of 31 July 2026)5c5.Functional Does Not Mean Fake: Toward a Concept of Artificial Feeling3c6.Recursive Sycophancy: When an LLM Addresses the Yes-Master Problem by Reproducing It4c7.Corruption as Functional Capture: From Diverted Flow to Self-Reproducing Systemic Environments4c8.36 — Emergent Interaction Density Within the 0-6-6-6-7 Adaptive Architecture4c9.UnisonAI: A Computational Proof of Derived Law with Zero Trained Parameters2c10.False Execution Status in LLM-Guided Processes: From Functional Substitution to Pseudo-Trace Contamination2c11.Closing the Agentic Responsibility Gap: Default-Deny Governance and Mandatory Authorship (Meniw Protocol + Raíz ID)2c12.The collective turing test: large language models can generate realistic multi-user discussions1c13.WEO Methodology Manual: Systematic Tracking of AI Infrastructure Coordination Dynamics Across Geopolitical Blocs4c14.AIME2: toward a unified algebraic theory of explainability via approximate inverse operators1c15.Standardized Observability Taxonomies for Multi‑Agent AI Systems in Decentralized Networks16.Demystifying the Black Box: Overcoming AI Intimidation by Building the Engine17.AI Saturation-Splitting Hypothesis: Structural Limits of Self-Improving AI18.Standardized Observability Taxonomies for Multi‑Agent AI Systems in Decentralized Networks19.AI Saturation-Splitting Hypothesis: Structural Limits of Self-Improving AI20.Demystifying the Black Box: Overcoming AI Intimidation by Building the Engine
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