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Ungrounded internal consistency can produce fluent but factually unsupported AI outputs.

The Claim

Artificial-intelligence hallucination risk can arise from excessive internal coherence without sufficient external grounding.

Verified by Lenz ·

The Short Version

Fluent, internally consistent generation can produce hallucinations when it is not adequately constrained by external evidence. Academic reviews and empirical studies support this as one recognized failure pathway, particularly when learned linguistic priors override retrieved, factual, or perceptual information. It is not the only cause of AI hallucinations.

Caveats

  • Internal coherence is one contributing pathway, not the sole cause of AI hallucinations.
  • “Excessive internal coherence” is a conceptual description rather than a universally standardized metric.
  • Some listed sources are commercial posts or unreviewed preprints, but stronger academic sources independently support the finding.

The Receipts

  1. AI Hallucinations in Retrieval-Augmented and Generative Systems: A Rigorous Review of Definitions, Failure Mechanisms, Evaluation, and Mitigation Strategies

    doi.org

  2. How Large Language Models are Designed to Hallucinate

    doi.org

  3. Is Artifical Intelligence Hallucinating? - PMC - NIH

    pmc.ncbi.nlm.nih.gov

  4. MEGA-RAG: a retrieval-augmented generation framework with ...

    pmc.ncbi.nlm.nih.gov

  5. The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination

    aclanthology.org

  6. Hallucinations in generative artificial intelligence and large ...

    link.springer.com

  7. Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering - ACL Anthology

    aclanthology.org

  8. CVPR 2026 Open Access Repository

    openaccess.thecvf.com

  9. Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification

    doi.org

  10. Hallucination to truth: a review of fact-checking and factuality ...

    link.springer.com

+ 33 more sources — see the full list on Lenz

Filed Under

artificial intelligenceDOXA Anti-Coherence Loop Module

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