PAPERS / REPRODUCTION / ENGINEERING NOTES
Paper reading for working engineers
Structured readings that extract architecture decisions, reproducible methods, evaluation limits, and what changes when research meets a real system.
- reading notes
- 81
- research topics
- 7
- learning paths
- 3
READING LIBRARY
Paper archive — page 4
Showing notes 73–81 of 81.
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RubricRanker Deep Read: RAG Needs the Right Document Set, Not Just the Most Relevant Documents
Advanced Retrieval, memory, and production RAGA close reading of how RubricRanker uses query-specific search rubrics, SFT, and GRPO to train a document reranker, and what its deep-research and RAG benchmark results actually establish.
Understand it in 90 seconds
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OSReward Deep Read: Why Agent Success Cannot Be Judged by Another Model Alone
Advanced Agent runtime, safety, and evaluationA complete reading of OSReward's data construction, 27 VLM judges, Hard and Multi subsets, error and cost analyses, OS-Shepherd-100K training, and a deployable hybrid verification architecture.
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Beyond RAG for Agent Memory: Detailed Notes on xMemory
Intermediate Retrieval, memory, and production RAGAn interpretation of arXiv:2602.02007 covering xMemory's four-tier hierarchy, sparsity–semantics objective, two-stage top-down retrieval, and empirical results on LoCoMo/PerLTQA.
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RAG vs GraphRAG: A Systematic Evaluation and Hybrid Strategies (Detailed Notes)
Intermediate Retrieval, memory, and production RAGInterpreting the unified evaluation protocol, four types of GraphRAG, figures in Tables 1-5, efficiency trade-offs, and Selection/Integration hybrid strategies based on arXiv:2502.11371.
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RAG-Anything: Multimodal Document Retrieval Is Not Just Text Conversion
Intermediate Retrieval, memory, and production RAGA source-grounded reading of RAG-Anything's dual graph, experimental evidence, failure cases, artifact status, and engineering adoption boundary.
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RAG-MCP: Retrieve Tool Discovery, but Account for Routing Failure
Intermediate Retrieval, memory, and production RAGA source-grounded reading of RAG-MCP's tool-routing pipeline, 11,100-tool stress test, MCPBench result, scale failure, and incomplete artifacts.
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RAG without Forgetting: Writing Successful Query Expansion Back into the Index
Intermediate Retrieval, memory, and production RAGA source-grounded assessment of ERM's correctness gate, selective attribution, bounded key updates, BEIR/BRIGHT results, and missing artifacts.
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AlexNet Part 2: Turning the Training Recipe into Testable Design Choices
Intermediate Build the foundations firstA source-grounded reading of ReLU, multi-GPU splitting, overlapping pooling, augmentation, and dropout in Figure 1–3 and Sections 3–6.
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AlexNet Part 1: Reading the Evidence Behind an ImageNet Turning Point
Introductory Build the foundations firstA source-grounded rereading of AlexNet’s problem, evaluation, historical result, and evidence boundary.
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