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Paper Citation Record · LEDGER

Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1705.08422.

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

pith.paper-citation-record.v1
1705.08422 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:33.102625Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T17:56:17.212885Z

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 a98e0f58-631e-49a7-acad-11747880ed25 · inbound

Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey cites this paper.

Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-24T17:56:17.215275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T17:56:05.264485Z digest=sha256:7ea646b7eac961814ffefe0d622b94cc1667818b5c6ae6b773200c2f9d041968

Observation 4dd9737b-3f1c-41da-9bfb-6167f17be180 · inbound

On Fisher Consistency of Surrogate Losses for Optimal Dynamic Treatment Regimes with Multiple Categorical Treatments per Stage cites this paper.

On Fisher Consistency of Surrogate Losses for Optimal Dynamic Treatment Regimes with Multiple Categorical Treatments per Stage Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T15:08:33.102625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:08:33.102625Z digest=sha256:355bdccd8a8e0a9a2963662948636b69f6243bd182c141782f0707e4366ef367

Observation 897065b6-e129-4fd3-9174-3724a2e17df3 · inbound

SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes cites this paper.

SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:55.317007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:55.317007Z digest=sha256:f806ac7b28e10d6485eed41ad859b1077fa6ce54faf0b0b9b3b34a6079b16485

Observation 6a1615f3-e4bd-46a4-b87e-7d949ed7ebd5 · inbound

Treatment, evidence, imitation, and chat cites this paper.

Treatment, evidence, imitation, and chat Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:22:10.877220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T08:21:05.698812Z digest=sha256:5abc722e191774a41322f2b81324a1efec75711ffb361a879e2bde3f97f5157c

Observation 289f03d1-ebb2-4d68-9273-99c481038818 · inbound

Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI cites this paper.

Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

Reference 153

Resolution
unresolved
no resolver link, observed 2026-08-05T15:08:54.226961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:08:54.226961Z digest=sha256:0f886dfa4a98eb6799c5ac5d9d8f559b8aa75478b2ee3bbe038f46da05150d88

Observation 9662e4d8-02c2-423c-b4b0-603fd6362c5b · inbound

An adaptive variance estimator for relative sparsity cites this paper.

An adaptive variance estimator for relative sparsity Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

Reference 204

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T05:45:22.527945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T19:35:46.097113Z digest=sha256:f06d3855d27cf31ef77f3787bf06258b2d8437fceb67e625f5318f8fbabd0ddb