Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.04524.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T06:47:16.873682Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:39:42.243396Z
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 8a53ea4e-2d10-467b-868c-15af3475e4ae · inbound
Learning to Reason under Off-Policy Guidance cites this paper.
Learning to Reason under Off-Policy Guidance Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T23:17:02.863067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 18f62dfc-7d9f-4739-b673-f9e314a89751 · inbound
Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards cites this paper.
Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:38:22.422879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d354e495-9260-4fa8-a6ce-32bd312f9be2 · inbound
Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards cites this paper.
Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:47:16.873682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fccb151c-0cc3-4f93-83c2-cf182470efc2 · inbound
Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective cites this paper.
Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:22:54.809006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 19fedf20-ab9c-4e66-b1ab-2428440dc814 · inbound
Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective cites this paper.
Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T21:43:45.426051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7ef419e3-2fbe-40db-8337-6893563729c0 · inbound
Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model cites this paper.
Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:39:42.245665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.