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Observable symptom: A model that critiques its own answer can agree with its own mistake — a reflection loop converges, confidently, on something wrong. Suitable correction: Anchor judgement to an external check: an executable test, an oracle, or a human — not another sample of the same model. Context: The failure the reflection layer of the Decision Heurist…
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Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
Self-graded hallucination is the risk that a model unreliably judges its own possibly fabricated answer as correct.
The term belongs to anti-patterns for agentic and generative systems. The referenced pattern collection describes it as a limitation of self-evaluating model outputs.
A model first generates an answer and then evaluates it with the same or a similar process. Shared knowledge and evaluation limits can let errors pass; independent sources, tests, or human review provide a counter-check.
A model's own judgment is not independent evidence that its answer is correct.
Shared knowledge and evaluation errors can affect generation and checking together.
External evidence, reproducible tests, and independent reviews reduce undetected hallucination risk.
This pattern helps teams frame model self-critique correctly and provide independent quality assurance.
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