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Paper Citation Record · LEDGER

On the Sample Complexity of Reinforcement Learning with Policy Space Generalization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2008.07353.

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

pith.paper-citation-record.v1
2008.07353 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:41.882921Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:53:53.640352Z

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 73aa90c8-ba05-405b-b920-f852d6bc3aa3 · inbound

Semi-pessimistic Reinforcement Learning cites this paper.

Semi-pessimistic Reinforcement Learning On the Sample Complexity of Reinforcement Learning with Policy Space Generalization

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:41.882921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:41.882921Z digest=sha256:f52a6bef5b2fbbcba67a9fd70c05ffe605ba2c681047a5b39cb8447f5fcda9a9

Observation bd5a3d6c-21ac-4d2e-a107-12af7358e728 · inbound

The Space Complexity of Learning-Unlearning Algorithms cites this paper.

The Space Complexity of Learning-Unlearning Algorithms On the Sample Complexity of Reinforcement Learning with Policy Space Generalization

Reference 74

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:53:53.699191Z

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=2026-08-07T00:53:50.889556Z digest=sha256:64489bc76b9a892079116050aba7adf7e43c7f716c30f8134b2b8722482f7360