# Autoresearch Agent Memory-Debug Report

## KDD tutorial role

This run demonstrates the proposal's autonomous-research-agent loop: generate research ideas, retrieve prior experiment memories, decide keep/revise/discard, and diagnose memory failures.

## Summary

metric	value
ideas	12
kept	3
revised	3
discarded	6
mean_retrieval_precision	0.2833
mean_retrieval_recall	0.1181
memory_utilization_rate	0.5833
redundant_idea_rate	0.5
mean_novelty_score	0.3432
mean_semantic_score	0.3047
semantic_pass_rate	0.1667
failure_modes	{"low_signal_prior": 1, "none": 3, "redundant_idea": 6, "retrieval_miss": 2}
decisions	{"discard": 6, "keep": 3, "revise": 3}

## Outputs

- Raw trace: /Users/syaikhipin/Documents/Phd/Publish Paper/kdd/experiment/results/run_20260509_151732_autoresearch_agent_raw.json
- Metrics: /Users/syaikhipin/Documents/Phd/Publish Paper/kdd/experiment/results/run_20260509_151732_autoresearch_agent_metrics.json
- Summary TSV: /Users/syaikhipin/Documents/Phd/Publish Paper/kdd/experiment/results/run_20260509_151732_autoresearch_agent_summary.tsv