Paper Citation Record · LEDGER

RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models

As of 13 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 3 inbound Pith citation observations for arXiv:2508.01174.

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

pith.paper-citation-record.v1
2508.01174 v1

Coverage vector

measured 1 of 1 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:52:13.962991Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:44:16.198117Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:05:00.410095Z

Reference resolution

1 of 1 outbound references displayed

verified exact1
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba3c9b84-f6f2-4add-9c1a-b47eedb7755c · outbound

This paper cites Advancing the Foundation Model for Music Understanding.

RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models Advancing the Foundation Model for Music Understanding

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:52:14.004767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 16b6b28c-1a41-4a9c-b0fd-005498e23914 · inbound

Leveraging Error Diversity in Group Rollouts for Reinforcement Learning cites this paper.

Leveraging Error Diversity in Group Rollouts for Reinforcement Learning RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:53:23.300233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 522341bc-f461-4681-81fb-fff501ead888 · inbound

Leveraging Error Diversity in Group Rollouts for Reinforcement Learning cites this paper.

Leveraging Error Diversity in Group Rollouts for Reinforcement Learning RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:00.411604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bc930beb-58cd-4ecc-a2ad-d273e66721c7 · inbound

Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective cites this paper.

Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-$K$ Objective RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T06:44:16.198117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.