TruthSplit: Operationalizing Conditional Validity in Arguments Through Multi-Perspective Reasoning
On the map: LLM reasoning → Reasoning for agents, planning and code
Abstract (arXiv)
We present TruthSplit, an interactive system for multi-perspective argument analysis. Existing argumentation tools typically analyze properties of the argument itself, such as structure, quality, stance, or persuasiveness, while leaving perspective-specific background knowledge implicit. TruthSplit addresses this gap by supporting an exploratory analysis of how the same claim can lead to different conclusions when interpreted through worldview-specific values, assumptions, and conceptual definitions. We refer to this perspective-dependent analysis as conditional validity. Given an input argumentative text, TruthSplit extracts claims and premises, applies a three-layer natural language inference (NLI) approach to assess both logical and worldview-specific normative consistency, and conditions large language model (LLM) reasoning on structured worldview profiles that encode core values and decision principles. The system then generates perspective-specific interpretations, identifies value conflicts and assumption gaps, and visualizes divergence through interactive analytical interfaces.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Reasoning for agents, planning and code, one of 17 directions in LLM reasoning. Builds on 4 of its 32 references that are in the map. First posted on arXiv 8 Jun 2026.
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4 of 32 references.
References · 4
- 2017A Broad-Coverage Challenge Corpus for Sentence Understanding through Inferencecited by 2,665
- 2016Argumentation Mining in User-Generated Web Discoursecited by 69
- 2024Are Large Language Models Reliable Argument Quality Annotators?cited by 24
- 2024"Let's Argue Both Sides": Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilitiescited by 4
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- 2026Graphionale: How Graph Visualizations of LLM Rationales Affect Human Decision Making
- 2025Can LLMs Judge Debates? Evaluating Non-Linear Reasoning via Argumentation Theory Semantics
- 2023BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability
- 2024SocraSynth: Multi-LLM Reasoning with Conditional Statistics
- 2023Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate