Veridical Tech

// 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.