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data.js

@@ -71,6 +71,7 @@ window.BENCH_DATA = {
       "Source of results. All Aligned AI scores were produced by the Aligned AI production pipeline available at joinaligned.ai, as measured in September 2026.",
       "Evaluation method. Aligned AI was evaluated on samples drawn from each benchmark’s official test set and scored using the benchmark’s official grader or reference scoring method. Sample sizes are stated on the relevant board where recorded. Each board references the benchmark’s official dataset and, where available, its original publication.",
       "Competitor data. Competitor scores are drawn from a dataset compiled by Aligned on September 28, 2026, covering leading models released in or after July 2025. Rankings reflect Aligned AI’s position relative to the models in that dataset only and are not intended as a comprehensive ranking of all available models.",
+      "Model coverage. Not every model has published or publicly available results for every benchmark, and some benchmarks are reported only for certain model versions, configurations or release dates. As a result, the set of competitor models shown differs from board to board, and a model\u2019s absence from a board should not be interpreted as an indication of its performance. Rankings are relative only to the models listed on each board.",
       "Self-reported results. All Aligned AI scores on this page are self-reported. Each evaluation was conducted by Aligned on its own infrastructure, and no independent third party has reproduced, audited or verified these results.",
       "System comparison. Aligned AI is a compound system that may combine multiple models, tools and retrieval within a single production pipeline; it is not a single standalone model. Competitor scores generally describe individual models evaluated under their publishers’ own settings. Comparisons are therefore indicative only and should not be construed as like-for-like.",
       "Sampling. Aligned AI scores are based on samples of each official test set rather than the complete test set. Sample-based results are subject to statistical uncertainty and may differ from results on a full evaluation.",