Unverified50% confidenceFactExact time
For the Skyvista Altura project in the demo data, Khoj computed 10 paths, summed to K=1.87, and a risk score of 84.6/100.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
Related Entities
Related Claims
UnverifiedOn 200 test projects that appeared clean on the surface but actually hid risks, the method that only looks at the project's own records had a detection rate of 0%, while Khoj's graph method reached a detection rate of 81% with zero false positives.63% similarUnverifiedSubstituting the strategy's data (55% × 2.4R − 45% × 1R) yields an expected value of +0.87R, meaning a long-term average net gain of 0.87 units for every 1 unit of risk taken.63% similarUnverifiedAn analysis of 600 public coding agent trajectories found that the number of turns explains 84% of the variance in log trajectory cost, while the average observation size explains only 4%.62% similarUnverifiedIn the specific experimental case, the overlapping-anchor scheme (n=912) showed the model at 55.2% versus the majority class at 51.1%, a net advantage of +4.1pp, about 2.4 standard errors; the non-overlapping-anchor scheme (n=163) showed 59.5% versus 54.0%, a net advantage of +5.5pp, about 1.4 standard errors.59% similarUnverifiedRanked by question difficulty, persistence rate was 91.4% on the 60 questions that all models answered correctly, but only 73.5% on the 52 questions that at least one model got wrong, indicating that sycophancy tracks uncertainty.58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1062672API
curl https://kongchang.com/api/v1/knowledge/claims/1062672MCP
get_claim(id=1062672)