{"publication_id":"87e015be-2295-434d-b696-f26092dd25f2","traces":[{"claim_id":"claim_1","claim":"This evidence map surveys 39 independent open source models sources drawn from the Tier-2 corpus and classified as direct findings. They vary across population, comparator, and/or endpoint and are catalogued by source in the Findings Map rather than pooled into one estimate — cross-population aggregation is not claimed. Each row records its own population, comparator, endpoint, and effect, so the spread of the literature and any tensions between findings remain explicit.","candidate_sources":[{"study":"Judicial Examination Preparation Strategies for Non-Law Undergraduates: Prompt Engineering Optimization Based on the Qwen-Max LLM","doi":"10.1109/aisns67921.2026.11440369","url":"https://doi.org/10.1109/aisns67921.2026.11440369"},{"study":"A Novel Framework for Efficient Transformation to Domain-Oriented LLM Agents","doi":"10.1109/iceic69189.2026.11386150","url":"https://doi.org/10.1109/iceic69189.2026.11386150"},{"study":"A Calibrated Three-Tiered Risk Classifier for User Prompts in Large Language Model Content Moderation","doi":"10.56738/issn29603986.geo2026.7.180","url":"https://doi.org/10.56738/issn29603986.geo2026.7.180"},{"study":"TraceLLM: Evaluating and Exploring Large Language Models on Trace Analysis in Microservice-based Web Applications","doi":"10.1145/3774904.3792164","url":"https://doi.org/10.1145/3774904.3792164"},{"study":"CoLoRA: A Collaborative Scheduling Framework for Multi-Tenant LoRA LLM Inference","doi":"10.1109/asp-dac66049.2026.11420717","url":"https://doi.org/10.1109/asp-dac66049.2026.11420717"}]},{"claim_id":"claim_2","claim":"| multi-tenant workloads with popular op… | conventional baselines | increases overall system throughput by 56.5% | 2026 doi:10.1109/asp-dac66049.2026.11420717 |","candidate_sources":[{"study":"Judicial Examination Preparation Strategies for Non-Law Undergraduates: Prompt Engineering Optimization Based on the Qwen-Max LLM","doi":"10.1109/aisns67921.2026.11440369","url":"https://doi.org/10.1109/aisns67921.2026.11440369"},{"study":"A Novel Framework for Efficient Transformation to Domain-Oriented LLM Agents","doi":"10.1109/iceic69189.2026.11386150","url":"https://doi.org/10.1109/iceic69189.2026.11386150"},{"study":"A Calibrated Three-Tiered Risk Classifier for User Prompts in Large Language Model Content Moderation","doi":"10.56738/issn29603986.geo2026.7.180","url":"https://doi.org/10.56738/issn29603986.geo2026.7.180"},{"study":"TraceLLM: Evaluating and Exploring Large Language Models on Trace Analysis in Microservice-based Web Applications","doi":"10.1145/3774904.3792164","url":"https://doi.org/10.1145/3774904.3792164"},{"study":"CoLoRA: A Collaborative Scheduling Framework for Multi-Tenant LoRA LLM Inference","doi":"10.1109/asp-dac66049.2026.11420717","url":"https://doi.org/10.1109/asp-dac66049.2026.11420717"}]}]}