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Paper Citation Record · LEDGER

An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2011.11235.

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

pith.paper-citation-record.v1
2011.11235 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:05:00.531117Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T07:07:29.632722Z

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 d874b1d1-ced1-4f1c-99b2-0387aec47ed7 · inbound

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning cites this paper.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:00.531117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:05:00.531117Z digest=sha256:b41cc04adb64df0f5ce3d9cd69cd123d14e40f4bf83b646a7e7a9c88ef6356e5

Observation 01d0e037-6c80-42a1-9907-d57f2ebeb51d · inbound

MORE-CLEAR: Multimodal Offline Reinforcement learning for Clinical notes Leveraged Enhanced State Representation cites this paper.

MORE-CLEAR: Multimodal Offline Reinforcement learning for Clinical notes Leveraged Enhanced State Representation An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T22:01:41.856020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:01:41.856020Z digest=sha256:7218120b7463de285d0663564a80cd19cd266fbf003a3a171504b97ab2fbcc42

Observation ae999c9d-b19a-47b4-b869-409ebd24dffd · 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 An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-05T15:08:54.059609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:08:54.059609Z digest=sha256:757a1bcedf1a0f1dd8ba3bf793c9802ff1833e3dfd2a3e483b4e3e7816be6fe8

Observation 33b56e77-a61b-44c4-999b-d4d4d47c19d6 · inbound

The hidden risks of temporal resampling in clinical reinforcement learning cites this paper.

The hidden risks of temporal resampling in clinical reinforcement learning An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Reference 50

Resolution
malformed identifier
arxiv_id, observed 2026-05-16T07:07:29.634702Z

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=2026-05-16T07:05:16.379996Z digest=sha256:e9a0d53e63792d5055f48bfe4f05a4349d7548c1e4ab3c4d49784a6ff14e282d

Observation 8ef3aa7a-4ccd-47e6-85be-9eb558588790 · inbound

Learning Preference-Based Objectives from Clinical Narratives for Dynamic Sepsis Treatment cites this paper.

Learning Preference-Based Objectives from Clinical Narratives for Dynamic Sepsis Treatment An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:06:03.448477Z

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=2026-05-10T15:38:47.477293Z digest=sha256:05f8dfede4deb3e6eeee1259efceac5cb8f11e8be3275afd91e89c1ba4a3d7f0