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Paper Citation Record · LEDGER

Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.02581.

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

pith.paper-citation-record.v1
2310.02581 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:41.567710Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:17:03.403559Z

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 25183d71-fd7f-4130-8817-1822819b9378 · inbound

Semi-pessimistic Reinforcement Learning cites this paper.

Semi-pessimistic Reinforcement Learning Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:41.567710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:41.567710Z digest=sha256:c28cebbe6553278600fb8da4a634de3eea9c190e0ab85416d9fb5648aeb6e16d

Observation b6029ff5-5b9f-48b3-9947-4d1d444ba384 · inbound

Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation cites this paper.

Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:17:03.551774Z

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=arxiv_source observed=2026-08-07T13:16:56.834090Z digest=sha256:0d73b1dd0d017a28ceb400fa7692d0a894d6ea887d414e2ecee1b63da81fa676