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Paper Citation Record · LEDGER

Replay across Experiments: A Natural Extension of Off-Policy RL

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.15951.

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

pith.paper-citation-record.v1
2311.15951 v2

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:03:20.791136Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:33.015744Z

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 6552865a-ad1e-42c3-b8a0-2fed49bb94d8 · inbound

Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning Approach cites this paper.

Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning Approach Replay across Experiments: A Natural Extension of Off-Policy RL

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T08:03:20.791136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:03:20.791136Z digest=sha256:40d324a629800656cfefbbcce38263aeab62c2fcba8c2f9dbf6d84da9954b038

Observation f238e665-56a9-4d77-a238-a1115da487e2 · inbound

Augmenting Game AI with Deep Reinforcement Learning cites this paper.

Augmenting Game AI with Deep Reinforcement Learning Replay across Experiments: A Natural Extension of Off-Policy RL

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:33.017864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T17:28:00.929990Z digest=sha256:cd949552629b8a964c88eacd09580036100cfaa0b03da8515b9c27a4e33883f1