Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T10:47:18.426912Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 90 inbound Pith citation observations for arXiv:1710.03740.
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 2026-05-12T10:47:18.426912Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:28:42.897424Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
34 of 34 outbound references displayed
External citation measurements
881
pith, observed 2026-08-05T02:28:24.338817Z
Observation 8311298c-8d48-4159-84af-38df4c03bfdf · outbound
Mixed Precision Training Amodei, R
Reference 1
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Mixed Precision Training Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
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Mixed Precision Training Courbariaux, Y
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Mixed Precision Training Girshick
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Mixed Precision Training Tensorflow tutorial: Sequence-to-sequence models
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Mixed Precision Training Graves, S
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Mixed Precision Training Gupta, A
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Mixed Precision Training Deep Speech: Scaling up end-to-end speech recognition
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Mixed Precision Training Effective Quantization Methods for Recurrent Neural Networks
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Mixed Precision Training Long short -term memory
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Mixed Precision Training Hubara, M
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Mixed Precision Training Ioffe and C
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Mixed Precision Training Caffe: Convolutional Architecture for Fast Feature Embedding
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Mixed Precision Training Exploring the Limits of Language Modeling
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Mixed Precision Training Krizhevsky, I
Reference 18
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Mixed Precision Training Paszke, S
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Reference 27
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Mixed Precision Training ImageNet Large Scale Visual Recognition Challenge
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Mixed Precision Training Szegedy, V
Reference 32
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Reference 52
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Reference 61
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Reference 55
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