Unverified50% confidenceFactExact time
Poor retention typically manifests in two forms: omission loss (fields cleared or reverted to default values) and incidental mutation (fields changed to unrelated values).
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIncidental mutation is an independent metric measuring the severity of retention failures, counting how many fields that should have remained unchanged the model changed in a single state update.64% similarUnverifiedThe missingness patterns of missing data are often not random but systematic, and ignoring them can lead to serious inferential bias.64% similarUnverifiedIf the Switch node has no fallback branch configured, data that does not match any case is silently discarded — neither triggering an error nor continuing to flow.63% similarUnverifiedThe basic skill of sanitization is to preserve the exception type and line number while dropping headers, query strings, and the body.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1007758API
curl https://kongchang.com/api/v1/knowledge/claims/1007758MCP
get_claim(id=1007758)