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3 Pith papers cite this work, alongside 1,655 external citations. Polarity classification is still indexing.

3 Pith papers citing it
1,655 external citations · external index

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years

2026 3

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UNVERDICTED 3

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representative citing papers

RNG: Flat Datacenter Networks at Scale

cs.NI · 2026-04-16 · unverdicted · novelty 7.0 · 3 refs

RNG deploys the first production flat datacenter network using quasi-random graphs, a new distributed routing protocol, and a passive optical cabling shuffle device, achieving fat-tree performance at substantially lower cost.

SCENIC: Stream Computation-Enhanced SmartNIC

cs.AR · 2026-04-16 · unverdicted · novelty 7.0

SCENIC delivers a programmable 200G SmartNIC with offloaded protocol stacks, stream compute units, and full OS transparency that matches commercial performance for custom offloads like collective communication and GPU data partitioning.

ZONOS2 Technical Report

cs.SD · 2026-06-23 · unverdicted · novelty 4.0 · 2 refs

ZONOS2 8B is a scaled MoE TTS model with 900M active parameters trained on 6M hours of data that reports competitive SOTA results on naturalness, speaker similarity, WER, and a new ZTTS1-Eval benchmark while releasing weights and code.

citing papers explorer

Showing 3 of 3 citing papers.

  • RNG: Flat Datacenter Networks at Scale cs.NI · 2026-04-16 · unverdicted · none · ref 2 · 3 links

    RNG deploys the first production flat datacenter network using quasi-random graphs, a new distributed routing protocol, and a passive optical cabling shuffle device, achieving fat-tree performance at substantially lower cost.

  • SCENIC: Stream Computation-Enhanced SmartNIC cs.AR · 2026-04-16 · unverdicted · none · ref 5

    SCENIC delivers a programmable 200G SmartNIC with offloaded protocol stacks, stream compute units, and full OS transparency that matches commercial performance for custom offloads like collective communication and GPU data partitioning.

  • ZONOS2 Technical Report cs.SD · 2026-06-23 · unverdicted · none · ref 250 · 2 links

    ZONOS2 8B is a scaled MoE TTS model with 900M active parameters trained on 6M hours of data that reports competitive SOTA results on naturalness, speaker similarity, WER, and a new ZTTS1-Eval benchmark while releasing weights and code.