Paper Citation Record · LEDGER

Harnessing Density Ratios for Online Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.09681.

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

pith.paper-citation-record.v1
2401.09681 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:38.975486Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:58:23.640103Z

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 2edd07fa-d3a2-4665-a39d-9a1c8bcf4e92 · inbound

Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits cites this paper.

Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits Harnessing Density Ratios for Online Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:38.975486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2fea3a5-9512-4a06-9378-3726f05d2273 · inbound

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment cites this paper.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Harnessing Density Ratios for Online Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:54.889918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76f27b68-0440-4127-ae9f-71424310b2c5 · inbound

Fitted $Q$ Evaluation Without Bellman Completeness via Stationary Weighting cites this paper.

Fitted $Q$ Evaluation Without Bellman Completeness via Stationary Weighting Harnessing Density Ratios for Online Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:08:19.141856Z

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.

Observation ae5b0cf0-4976-45d9-abec-cbd480dd938d · inbound

Stationary Reweighting Yields Local Convergence of Soft Fitted Q-Iteration cites this paper.

Stationary Reweighting Yields Local Convergence of Soft Fitted Q-Iteration Harnessing Density Ratios for Online Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:23.641976Z

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.