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Paper Citation Record · LEDGER

More Robust Doubly Robust Off-policy Evaluation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1802.03493.

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

pith.paper-citation-record.v1
1802.03493 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:16:54.617714Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:33:21.689476Z

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 95d68fd1-244a-4b52-9428-d3add5951dfd · inbound

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems More Robust Doubly Robust Off-policy Evaluation

Reference 298

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:47:50.637184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-11T11:33:20.892688Z digest=sha256:23590034a2cdd8c882988fcfd00b65fae5b5d45e993cc907c127bd19d19cdc14

Observation 25caa724-aca7-4a07-b9f0-dda5c47cd091 · 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 More Robust Doubly Robust Off-policy Evaluation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:16:54.617714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:16:54.617714Z digest=sha256:137912d2fa2561032d786bc2a1382bedc3d27c032cf003e24e3c5e1c7c5522c6

Observation 85a0a03f-7b3d-454b-9cec-9b6d0fb1eb43 · inbound

A General Framework for Off-Policy Learning with Partially-Observed Reward cites this paper.

A General Framework for Off-Policy Learning with Partially-Observed Reward More Robust Doubly Robust Off-policy Evaluation

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T00:26:27.859288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:26:27.859288Z digest=sha256:84173d5f56e1ea7902cc3a2d637d6954e720590367684d664ebc0cdba4abfa78