CSLV: Cross-Source Logical Validation for Reducing Source-Induced Reasoning Bias in Large Language Models
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2026
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| _version_ | 1866902124858703872 |
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| author | Khan, Alim ul haq |
| author_facet | Khan, Alim ul haq |
| contents | <p>This work introduces CSLV (Cross-Source Logical Validation), a framework designed to detect and mitigate source-induced reasoning bias in large language models. The approach evaluates the logical consistency between the original query, provided examples, and the model's generated reasoning.</p> <p>The report also evaluates ANIMA, a cognitive architecture concept that integrates identity-based memory structures and validation layers to enhance reasoning reliability in AI systems.</p> <p>Experimental validation and conceptual analysis are provided to demonstrate how cross-source validation can reduce hallucination and example-dependency in LLM outputs.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18965451 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | CSLV: Cross-Source Logical Validation for Reducing Source-Induced Reasoning Bias in Large Language Models Khan, Alim ul haq Artificial Intelligence Large Language Models Hallucination Reasoning Validation CSLV ANIMA AI Safety Cognitive Architecture <p>This work introduces CSLV (Cross-Source Logical Validation), a framework designed to detect and mitigate source-induced reasoning bias in large language models. The approach evaluates the logical consistency between the original query, provided examples, and the model's generated reasoning.</p> <p>The report also evaluates ANIMA, a cognitive architecture concept that integrates identity-based memory structures and validation layers to enhance reasoning reliability in AI systems.</p> <p>Experimental validation and conceptual analysis are provided to demonstrate how cross-source validation can reduce hallucination and example-dependency in LLM outputs.</p> |
| title | CSLV: Cross-Source Logical Validation for Reducing Source-Induced Reasoning Bias in Large Language Models |
| topic | Artificial Intelligence Large Language Models Hallucination Reasoning Validation CSLV ANIMA AI Safety Cognitive Architecture |
| url | https://doi.org/10.5281/zenodo.18965451 |