Unverified50% confidenceBenchmarkExact time
The source-anchored variant proposed in the paper further reduces source feature displacement by 47.7% to 83.6% compared to purely learned transfer, while preserving most of the alignment gains
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Long-term
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10/8/2026
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UnverifiedThe learned transfer map reduces the average feature distance from target to source by 16.3% to 38.5% compared to the original embeddings77% similarUnverifiedThe 44% reduction in inference tokens is a self-reported figure from the author and has not been verified by third-party reproduction; the original materials do not disclose the data construction method, training algorithm, sampling scale, or benchmark test details.67% similarUnverifiedExperimental results show that rehearsal reduced the observed identity degradation but simultaneously decreased cross-domain transfer performance.65% similarUnverifiedThe paired 95% confidence interval for the strict score gain from evidence replacement is [8.77, 10.43].65% similarUnverifiedIn a two-phase coordination-proxy development comparison, both the baseline and the source-author-written candidate completed 180/180 trials; the candidate used 37.11% fewer tokens, reduced estimated endpoint cost by 33.84%, and decreased steps by 11.63%, but improvement in quality, latency, or production-environment behavior cannot be demonstrated.65% similar
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