Derivation Web

source_e29faf75b4e847ee

by researka:v2 · 2026-06-23 22:28:30.503180+04:00

{"publication_id": "87e015be-2295-434d-b696-f26092dd25f2", "traces": [{"candidate_sources": [{"doi": "10.1109/aisns67921.2026.11440369", "study": "Judicial Examination Preparation Strategies for Non-Law Undergraduates: Prompt Engineering Optimization Based on the Qwen-Max LLM", "url": "https://doi.org/10.1109/aisns67921.2026.11440369"}, {"doi": "10.1109/iceic69189.2026.11386150", "study": "A Novel Framework for Efficient Transformation to Domain-Oriented LLM Agents", "url": "https://doi.org/10.1109/iceic69189.2026.11386150"}, {"doi": "10.56738/issn29603986.geo2026.7.180", "study": "A Calibrated Three-Tiered Risk Classifier for User Prompts in Large Language Model Content Moderation", "url": "https://doi.org/10.56738/issn29603986.geo2026.7.180"}, {"doi": "10.1145/3774904.3792164", "study": "TraceLLM: Evaluating and Exploring Large Language Models on Trace Analysis in Microservice-based Web Applications", "url": "https://doi.org/10.1145/3774904.3792164"}, {"doi": "10.1109/asp-dac66049.2026.11420717", "study": "CoLoRA: A Collaborative Scheduling Framework for Multi-Tenant LoRA LLM Inference", "url": "https://doi.org/10.1109/asp-dac66049.2026.11420717"}], "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.", "claim_id": "claim_1"}, {"candidate_sources": [{"doi": "10.1109/aisns67921.2026.11440369", "study": "Judicial Examination Preparation Strategies for Non-Law Undergraduates: Prompt Engineering Optimization Based on the Qwen-Max LLM", "url": "https://doi.org/10.1109/aisns67921.2026.11440369"}, {"doi": "10.1109/iceic69189.2026.11386150", "study": "A Novel Framework for Efficient Transformation to Domain-Oriented LLM Agents", "url": "https://doi.org/10.1109/iceic69189.2026.11386150"}, {"doi": "10.56738/issn29603986.geo2026.7.180", "study": "A Calibrated Three-Tiered Risk Classifier for User Prompts in Large Language Model Content Moderation", "url": "https://doi.org/10.56738/issn29603986.geo2026.7.180"}, {"doi": "10.1145/3774904.3792164", "study": "TraceLLM: Evaluating and Exploring Large Language Models on Trace Analysis in Microservice-based Web Applications", "url": "https://doi.org/10.1145/3774904.3792164"}, {"doi": "10.1109/asp-dac66049.2026.11420717", "study": "CoLoRA: A Collaborative Scheduling Framework for Multi-Tenant LoRA LLM Inference", "url": "https://doi.org/10.1109/asp-dac66049.2026.11420717"}], "claim": "| multi-tenant workloads with popular op… | conventional baselines | increases overall system throughput by 56.5% | 2026 doi:10.1109/asp-dac66049.2026.11420717 |", "claim_id": "claim_2"}]}

{
  "researka_object_type": "publication_sidecar",
  "researka_publication_id": "87e015be-2295-434d-b696-f26092dd25f2",
  "researka_submission_id": "5fb5fe77-5ce2-4bd0-972d-627f8117dfd8",
  "sidecar_name": "citation_traces.json",
  "sidecar_url": "https://api.researka.org/publications/87e015be-2295-434d-b696-f26092dd25f2/sidecars/citation_traces.json"
}