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Dead Context Got a Reversible Grave
Blast Radius predicts which memories a coding agent will need and archives low-value transcripts without losing their bytes.
Summary
Blast Radius predicts which memories a coding agent will need and archives low-value transcripts without losing their bytes.
The proposed memory layer estimates how far a new prompt reaches through code and conversational context, then evicts material into a reversible archive. Across seven tested OpenAI models, the authors report 17 to 26 percent lower token use and the lowest overflow rate among their comparison policies. Of 450 archived records, none were recalled in the reported runs. That last result may reflect the test distribution; this is an author-defined preprint evaluation, not an independent production audit.
Why it matters
Blast Radius predicts which memories a coding agent will need and archives low-value transcripts without losing their bytes.
Limits and context
- That last result may reflect the test distribution; this is an author-defined preprint evaluation, not an independent production audit.
Key claims
Blast Radius predicts which memories a coding agent will need and archives low-value transcripts without losing their bytes.
Qualification: That last result may reflect the test distribution; this is an author-defined preprint evaluation, not an independent production audit.
Evidence: source-2026-08-10-012
Sources
- arXiv preprint 2608.07440arXiv · primary research
Corrections
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