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Paper Citation Record · LEDGER

A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.00494.

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

pith.paper-citation-record.v1
2101.00494 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:01.315074Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:16:05.084282Z

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 b1d2a57e-f7af-4e2e-81f8-98e72c58d1c5 · inbound

Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation cites this paper.

Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:01.315074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:37:01.315074Z digest=sha256:ef58a5404c58b426e52df7c12352849304cd52572faeda02ebbcd74dbc0501e3

Observation 07d71cca-270a-49d1-a6ec-2b6c65ca593a · inbound

Model-Based Reinforcement Learning with Double Oracle Efficiency in Policy Optimization and Offline Estimation cites this paper.

Model-Based Reinforcement Learning with Double Oracle Efficiency in Policy Optimization and Offline Estimation A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:16:05.093549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T20:27:03.746672Z digest=sha256:1d48db66e8f846150209445a6dc1814a0f940c5d0ecb9d5f2a2c424fae7170c1