Unverified50% confidenceFactExact time
The agent used PHREEQC to answer 158 execution-verified multiple-choice questions, in order to precisely measure the impact of retrieval on accuracy.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/20/2026
First Seen
Valid until: 1/18/2027
Sources
Related Entities
Related Claims
UnverifiedA benchmarking mechanism should be established that uses standard questions with known answers to continuously verify the accuracy of Agent outputs.70% similarUnverifiedThe experiment scale reached 440 runs, with the evaluation criterion being the answer + evidence contract, meaning results must be correct and accompanied by complete, verifiable evidence.68% similarUnverifiedThe test ran a total of 130 variants, covering different levels of reasoning effort, called via OpenRouter with official endpoints for each lab locked in wherever possible.68% similarUnverifiedThe experiment used balanced accuracy as the evaluation metric, covering 8 classification datasets.68% similarUnverifiedExperiments show that the gated objective achieved the highest average accuracy on both datasets, verifying that objective reliability and evaluation priority can be optimized independently67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1073401API
curl https://kongchang.com/api/v1/knowledge/claims/1073401MCP
get_claim(id=1073401)