// Evidence
Long-Context Validation
Public summary of how SPM performs under increasing history size, including the ultra-long validation surface.
Layered long-context buckets
The public layered set is used to keep task type roughly stable while baseline history size grows through 10k, 50k, 100k, 300k, and 800k+ token buckets.
infrastructure recall
configuration value recall
environment separation
planning target recall
Ultra-long validation
The ultra-long set is the narrowest and most extreme public surface. It answers whether SPM still compresses aggressively without visible collapse in factual retention when baseline history becomes operationally extreme.
Cases
4
Baseline size
0.8M+ tokens
Reported final prompt
about 1.5k–1.6k tokens
Compression ratio
>500×
Public takeaway
The long-context story on this site is simple: SPM is not only described through small benchmark cases. It is also presented against very large baseline histories where factual usefulness must survive extreme context length.