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Paper Citation Record · LEDGER

Machine Learning for Mechanical Ventilation Control

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2102.06779.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2102.06779 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:56:16.979140Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-24T11:19:23.181973Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aab67167-828c-43b9-8023-f95c5b93274a · inbound

Introduction to Online Control cites this paper.

Introduction to Online Control Machine Learning for Mechanical Ventilation Control

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-24T11:19:23.184825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-24T11:17:42.225451Z digest=sha256:64694fc48f88e881b9b365fcf8fcc9b33cd46a5f9a6c3dd75ea1eb6fa52e9634

Observation 7659d9af-e9a4-4de2-be8e-3567bab6e57d · inbound

Predicting Extubation Failure in Intensive Care: The Development of a Novel, End-to-End Actionable and Interpretable Prediction System cites this paper.

Predicting Extubation Failure in Intensive Care: The Development of a Novel, End-to-End Actionable and Interpretable Prediction System Machine Learning for Mechanical Ventilation Control

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T10:56:16.979140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:56:16.979140Z digest=sha256:aa7dcc4d77e2471674ba0613df64da678b676b81fb5faa0e27a9a0bf109925f8

Observation 37530aa4-4790-4ba6-98f0-c1d30dbe2862 · inbound

Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework cites this paper.

Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework Machine Learning for Mechanical Ventilation Control

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T14:00:13.274834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:00:13.274834Z digest=sha256:0ac0a5bd46edc816c59769a23f6b5628b023ceeee8e04d0852bcae6f7240f91b