Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:29.200146Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2505.22840.
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 2026-08-07T13:05:29.200146Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 1
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction • Real-World Utility: Consistent performance across diverse datasets positions SXI++ LNM as a reliable tool for healthcare providers
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Worldwide, around 48.9 million people are affected by sepsis annually, resulting in 11 million deaths (2, 3)
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 9
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 10
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Epic is an electronic medical record providing a predictive alert system for sepsis, the Epic Sepsis Model (ESM) Inpatient Predictive Analytic Tool
Reference 11
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 12
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 13
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 14
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction unseen data
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction It identifies septic patients approximately 12.2 hours before ICU antibiotic administration and 2.1 hours before ED interventions
Reference 16
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 17
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Reference 18
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 20
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 21
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 22
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 23
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 24
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 25
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction One critical indicator is a Systolic Blood Pressure (SBP) that exceeds 220, which may suggest a potential absence of sepsis
Reference 26
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 27
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 28
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Reference 29
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction QualityNet —inpatient hospitals specifications manual
Reference 30
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Reference 31
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction PLoS ONE 12(4): e0174708
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Crit Care Med
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction I don’t know
Reference 37
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 38
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Shashikumar, S.P
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 40
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 42
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 43
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction el Epic Sepsis Model Inpatient Predictive Analytic Tool: A Validation Study
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Kilambi (2024) Processing of Large Numerical Models (LNM) by AI2 enabled SXI
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction AutoML: A survey of the state -of-the-art,
Reference 50
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction Unresolved cited work
Reference 51
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Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction I don’t know
Reference 52
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No inbound Pith citation observations are available.