Cover Image

Explicit Cognitive Allocation: A Principle for Governed and Auditable Inference in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Manzanilla-Granados, Héctor Manuel, Navarrete-Cazales, Zaira, Pescador-Rojas, Miriam, Ramírez-Romero, Tonahtiu
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

¿OTRA VEZ LA IDENTIDAD? Un concepto necesario pero imposible
by: Zaira Navarrete-Cazales
Published: (2015)

PANORAMA DE LA EDUCACIÓN A DISTANCIA EN MÉXICO
by: Zaira Navarrete-Cazales
Published: (2017)

La tutoría en la educación superior. Una aproximación histórica
by: Zaira Navarrete-Cazales
Published: (2022)

Educación, formación y pedagogía
by: Zaira Navarrete Cazales
Published: (2013)

Construcción de una identidad profesional: los pedagogos de la Universidad Nacional Autónoma de México y de la Universidad Veracruzana
by: Zaira Navarrete Cazales
Published: (2008)

Políticas educativas para la integración de las TIC en el sistema educativo nacional mexicano
by: Zaira Navarrete Cazales
Published: (2023)

La carrera de Pedagogía en la Universidad Veracruzana. Historia fundacional y curricular 1954-2000
by: Zaira Navarrete-Cazales
Published: (2018)

Políticas implementadas por el gobierno mexicano frente al Covid-19. El caso de la educación básica
by: Zaira Navarrete Cazales
Published: (2020)

La universidad como espacio de Formación profesional y constructora de identidades
by: Zaira Navarrete Cazales
Published: (2013)

La educación después de la pandemia: propuesta de implementación de un modelo de Educación Básica a Distancia
by: Zaira Navarrete Cazales
Published: (2021)

Agendas supranacionales de políticas educativas para la educación secundaria en Latinoamérica
by: Zaira Navarrete Cazales
Published: (2024)

Creación de una profesión. La carrera de Pedagogía en la Universidad Nacional Autónoma de México
by: Zaira Navarrete-Cazales
Published: (2018)

La telesecundaria en México
by: Zaira Navarrete-Cazales
Published: (2022)

Universidades interculturales e indígenas en México: desafíos académicos e institucionales
by: Zaira Navarrete-Cazales
Published: (2015)

Políticas para la educación secundaria en argentina 1990-2020
by: Zaira Navarrete-Cazales
Published: (2022)

Formación de profesores en las Escuelas Normales de México. Siglo XX
by: Zaira Navarrete-Cazales
Published: (2015)

Auditing Pay-Per-Token in Large Language Models
by: Velasco, Ander Artola, et al.
Published: (2025)

AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach
by: Amirizaniani, Maryam, et al.
Published: (2024)

AuditWen:An Open-Source Large Language Model for Audit
by: Huang, Jiajia, et al.
Published: (2024)

Audit-of-Understanding: Posterior-Constrained Inference for Mathematical Reasoning in Language Models
by: Abdaljalil, Samir, et al.
Published: (2025)

Privacy Auditing of Large Language Models
by: Panda, Ashwinee, et al.
Published: (2025)

Implicit Probabilistic Reasoning Does Not Reflect Explicit Answers in Large Language Models
by: Mondal, Manuel, et al.
Published: (2024)

TRUST: A Decentralized Framework for Auditing Large Language Model Reasoning
by: Huang, Morris Yu-Chao, et al.
Published: (2025)

CALM: Curiosity-Driven Auditing for Large Language Models
by: Zheng, Xiang, et al.
Published: (2025)

Optimizing Resource Allocation for Geographically-Distributed Inference by Large Language Models
by: Sun, Tingyang, et al.
Published: (2025)

The Refusal--Compliance Tradeoff: A Large-Scale Safety Behavior Audit of Large Language Models
by: Hasan, Alif Al, et al.
Published: (2026)

LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop
by: Amirizaniani, Maryam, et al.
Published: (2024)

Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models
by: Pasten, Hector, et al.
Published: (2025)

Output Scouting: Auditing Large Language Models for Catastrophic Responses
by: Bell, Andrew, et al.
Published: (2024)

Structural Rigidity and the 57-Token Predictive Window: A Physical Framework for Inference-Layer Governability in Large Language Models
by: Ruddell, Gregory M.
Published: (2026)

Active Testing of Large Language Models via Approximate Neyman Allocation
by: Liu, Zeli, et al.
Published: (2026)

Electronic Circuit Principles of Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)

Evaluating Neural Language Models as Cognitive Models of Language Acquisition
by: Martínez, Héctor Javier Vázquez, et al.
Published: (2023)

Large Language Model based Smart Contract Auditing with LLMBugScanner
by: Yuan, Yining, et al.
Published: (2025)

Auditing Disability Representation in Vision-Language Models
by: Panda, Srikant, et al.
Published: (2026)

Cognitive Effects in Large Language Models
by: Shaki, Jonathan, et al.
Published: (2023)

Cognitive Memory in Large Language Models
by: Shan, Lianlei, et al.
Published: (2025)

From Implicit to Explicit: Enhancing Self-Recognition in Large Language Models
by: Zhou, Yinghan, et al.
Published: (2025)

Global AI Bias Audit for Technical Governance
by: Hung, Jason
Published: (2026)

SymGPT: Auditing Smart Contracts via Combining Symbolic Execution with Large Language Models
by: Xia, Shihao, et al.
Published: (2025)