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diffusion models

2,130 papers

#large language models Open access Sep 2026

Narrative Hysteresis: The Presumption Gap, Gendered Epistemic Risk, and Reputational Non-Reversibility After Public Accusation

Legal systems can reverse convictions, dismiss charges, and acquit defendants, but public narratives are not designed to reverse with comparable speed or precision. This article develops narrative hysteresis as a theory of reputational path dependence after public accusation. It integrates the continued influence effec...

Kwan Hong TAN · 0 citations
#data science Open access Sep 2026

The Status-Punishment Paradox: Status-Amplified Schadenfreude, Moralized Reputational Aggression, and the Digital Afterlife of Punishment

Why can prior achievement become a liability after wrongdoing? This conceptual article integrates research on tall-poppy effects, social comparison, schadenfreude, moral outrage, public shaming, news values, and criminal-record stigma into a theory of the Status-Punishment Paradox. Status ordinarily increases social va...

Kwan Hong TAN · 0 citations
#data science Open access Sep 2026

The Status-Punishment Paradox: Status-Amplified Schadenfreude, Moralized Reputational Aggression, and the Digital Afterlife of Punishment

Why can prior achievement become a liability after wrongdoing? This conceptual article integrates research on tall-poppy effects, social comparison, schadenfreude, moral outrage, public shaming, news values, and criminal-record stigma into a theory of the Status-Punishment Paradox. Status ordinarily increases social va...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Sep 2026

Hermeneutic Sovereignty under Generative AI: A Humanities Framework for Protecting Human Meaning-Making from Interpretive Foreclosure

Generative artificial intelligence increasingly mediates not only what institutions decide, but how institutions interpret people. Large language models draft case summaries, student feedback, performance reviews, clinical notes, policy briefs, creative text and administrative explanations. Existing AI governance frame...

Kwan Hong TAN · 0 citations
#natural language process... Open access Sep 2026

The Liminal Ontology: A New Framework for Consciousness, Identity, and the So-Called Supernatural

This thesis introduces a novel theoretical framework, the Liminal Ontology, to address the enduring philosophical and scientific challenges posed by consciousness, identity, and anomalous experiences. Moving beyond the traditional dualism of mind and matter and the limitations of materialism, the Liminal Ontology posit...

Kwan Hong TAN · 0 citations
#natural language process... Open access Sep 2026

The Liminal Ontology: A New Framework for Consciousness, Identity, and the So-Called Supernatural

This thesis introduces a novel theoretical framework, the Liminal Ontology, to address the enduring philosophical and scientific challenges posed by consciousness, identity, and anomalous experiences. Moving beyond the traditional dualism of mind and matter and the limitations of materialism, the Liminal Ontology posit...

Kwan Hong TAN · 0 citations
#machine learning Open access Aug 2026

Are Our Current Rational Decision-Making Models Truly Rational? A Critical Analysis and a New Neurobiological Framework

This paper critically examines the foundational assumptions of rational decision-making models and finds them to be systematically and comprehensively flawed. Through a rigorous analysis of empirical evidence from behavioral economics and neuroscience, we demonstrate that traditional models, such as Expected Utility Th...

Kwan Hong TAN · 0 citations
#machine learning Open access Aug 2026

Are Our Current Rational Decision-Making Models Truly Rational? A Critical Analysis and a New Neurobiological Framework

This paper critically examines the foundational assumptions of rational decision-making models and finds them to be systematically and comprehensively flawed. Through a rigorous analysis of empirical evidence from behavioral economics and neuroscience, we demonstrate that traditional models, such as Expected Utility Th...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

Are Predictive Models Epistemically Superior to Causal Ones?

This thesis investigates the complex and often contentious question of whether predictive models are epistemically superior to causal models. It challenges the simplistic dichotomy that often frames this debate, arguing that the epistemic superiority of a model is not an intrinsic property but is contingent upon the sp...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

Are Predictive Models Epistemically Superior to Causal Ones?

This thesis investigates the complex and often contentious question of whether predictive models are epistemically superior to causal models. It challenges the simplistic dichotomy that often frames this debate, arguing that the epistemic superiority of a model is not an intrinsic property but is contingent upon the sp...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

How Should We Understand Truth in Fluctuational Epistemology?

This paper develops a novel account of truth grounded in fluctuational epistemology, a framework that situates knowledge within the ontological instability of reality. Traditional theories—correspondence, coherence, pragmatic, and deflationary—assume varying degrees of stability in the relation between propositions and...

Kwan Hong TAN · 0 citations
#computer vision Open access Aug 2026

How Should We Understand Truth in Fluctuational Epistemology?

This paper develops a novel account of truth grounded in fluctuational epistemology, a framework that situates knowledge within the ontological instability of reality. Traditional theories—correspondence, coherence, pragmatic, and deflationary—assume varying degrees of stability in the relation between propositions and...

Kwan Hong TAN · 0 citations

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