Thanks

Agreed. The real trade-off is between freshness and stability. Without a solid invalidation model, you either serve stale data or lose the benefits of caching.

Exactly. The problem is that most of those signals are indirect or delayed, so the system is always working with partial observability. That’s where most caching strategies start to break down. How would you define a practical boundary for “safe reuse” in that kind of partially observable setup?

Agree. The real issue isn’t caching itself, but modeling context stability and defining reliable invalidation triggers without over-invalidating.