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Paper Citation Record · LEDGER

The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.13493.

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

pith.paper-citation-record.v1
2302.13493 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:18:39.898864Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T21:40:21.013234Z

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 0468167d-bdc4-4e3a-8b6a-eb989e5aefb8 · inbound

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning cites this paper.

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:39.898864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:39.898864Z digest=sha256:5e3447c295cab18b549cb21a29691d026b372622ccb06855d32a9cc58be027bb

Observation 1ea56f35-615a-414a-955a-a882361e6c3d · inbound

OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration cites this paper.

OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:40:21.017280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-15T21:38:53.792221Z digest=sha256:aa2d3eb4753b1a2c2df25cba04c9ad70a6d939ab48e37a1973e308defda91659