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Paper Citation Record · LEDGER

Counterfactual Risk Minimization: Learning from Logged Bandit Feedback

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1502.02362.

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

pith.paper-citation-record.v1
1502.02362 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 2026-08-05T00:28:25.991755Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:16:32.885338Z

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 71412fdf-9f0f-470f-be84-ad3cc5d8f4f6 · inbound

Concrete Problems in AI Safety cites this paper.

Concrete Problems in AI Safety Counterfactual Risk Minimization: Learning from Logged Bandit Feedback

Reference 152

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:44:05.158840Z

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=2026-05-11T05:16:31.970352Z digest=sha256:be9484d47d5bb73ad0d0a10a9d5ca6e669a7a312bf40025bc2199feda076dbf4

Observation 64229d29-411d-45c4-beff-db359364cd2d · inbound

Hierarchical Residual Policy Optimization for Generative Recommendations cites this paper.

Hierarchical Residual Policy Optimization for Generative Recommendations Counterfactual Risk Minimization: Learning from Logged Bandit Feedback

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T00:28:25.991755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:28:25.991755Z digest=sha256:3b36fffc64c896bf1a9081fdd342b0bc7477ea0266d38717a4147d62e860f634