Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:50.477143Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 100 of 187 outbound references and 2 inbound Pith citation observations for arXiv:2504.15300.
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 2026-08-16T12:28:50.477143Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:06:48.455887Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T11:51:03.772459Z
100 of 187 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5ab16612-773a-4062-896d-8abac2a08e9f · outbound
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Unresolved cited work
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Unresolved cited work
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Unresolved cited work
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Unresolved cited work
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Brendan McMahan, Virginia Smith, and Ameet Talwalkar
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Accelerating Large Language Model Decoding with Speculative Sampling
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Federated Meta-Learning with Fast Convergence and Efficient Communication
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Kwok, and Yu Zhang
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, and Arvind Krishnamurthy
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Gonzalez, Ion Stoica, and Eric P
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Unresolved cited work
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions On-Device Model Fine-Tuning with Label Correction in Recommender Systems
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models
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Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
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