Unverified50% confidenceConceptExact time
Context conflict refers to the simultaneous presence of self-contradictory information in the window (such as old notes coexisting with a corrected version), forcing the model to make judgments amid contradictions.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen two contradictory documents are retrieved simultaneously from the knowledge base, the model may synthesize an inaccurate answer or reach opposite conclusions across different sessions.77% similarUnverifiedContext poisoning refers to an error entering the context window and then being treated as fact by the model, and unlike other failure modes it is irreversible—the erroneous information gets written back into the context, forming a self-reinforcing loop.74% similarUnverifiedContinuously correcting the model stuffs more contradictory and redundant information into the context, making the model more confused, and corrections often backfire.72% similarUnverifiedWhen real information provided by a user conflicts with outdated data in the model's parameters, the model sometimes adheres to the old content with high confidence and rejects the user's input—a phenomenon referred to in academia as knowledge conflict.72% similarUnverifiedIf the knowledge base itself is chaotic, outdated, or mutually contradictory, the retrieved context will mislead the model, and output quality will instead decline.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1060772API
curl https://kongchang.com/api/v1/knowledge/claims/1060772MCP
get_claim(id=1060772)