Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:34:55.499701Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 0 inbound Pith citation observations for arXiv:2506.11117.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:34:55.499701Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
92 of 92 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, and Huan Sun
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unsupervised Dense Information Retrieval with Contrastive Learning
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
Reference 22
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research AgentInstruct: Toward Generative Teaching with Agentic Flows
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Hashimoto
Reference 28
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Galactica: A Large Language Model for Science
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Text Embeddings by Weakly-Supervised Contrastive Pre-training
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research none" - The abstract and introduction sections should be combined into
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Requirements: - State the research motivation, explaining why this study is important and what drives the inquiry
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research Unresolved cited work
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