Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T17:40:21.284730Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2605.04478.
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 2026-05-08T17:40:21.284730Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training In22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI 25)
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training The Llama 3 Herd of Models
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training In21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24)
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Scaling Laws for Neural Language Models
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training InProceedings of naacL-HLT, Vol
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training PyTorch Distributed: Experiences on Accelerating Data Parallel Training
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
Reference 56
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Fault-Tolerant Hybrid-Parallel Training at Scale with Reliable and Efficient In-memory Checkpointing
Reference 57
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training In2025 USENIX Annual Technical Conference (USENIX ATC 25)
Reference 60
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
Reference 61
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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Observation 25182667-3872-4dde-a06a-ededab1cf013 · outbound
CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training In19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22)
Reference 63
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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Observation f1272578-827c-4248-806c-9ddd8f8a64d2 · outbound
CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
Reference 66
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Observation e64c4e41-9bf7-4942-a36a-b26967408844 · outbound
CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Unresolved cited work
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Observation 2955fe0c-5969-4ad1-bf9f-b87e50dec2a6 · outbound
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Reference 68
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No inbound Pith citation observations are available.