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Pyro · temporal intelligence

Pyro Time-Aware LLM

Report data checked: September 20, 2026

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Programme overview

Pyro explores whether a language model can use the time that actually passes between events. If the text stays the same but the timing changes, can the model change its answer correctly? We study interval selection and duration comparison in separate experiments on a small model.

  • Provide elapsed time directly as numerical input
  • Compare correct timing with randomly mixed and zeroed timing
  • Measure performance on time intervals that differ from training conditions

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About this report

These are technical research reports, not peer-reviewed publications. Each report identifies its source, measurement conditions and limitations. The evidence section explains what can be downloaded or reproduced.

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Pyro Time-Aware LLM | Mindtro | Intelligence, Engineered