Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Expectation-Maximization Perspective on Reinforcement Learning for LLM Reasoning
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.18587.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:49:05.199743Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T19:52:35.528605Z
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 4dd15b6d-ed00-430b-b9bf-739dc07bb09e · inbound
Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning cites this paper.
Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning An Expectation-Maximization Perspective on Reinforcement Learning for LLM Reasoning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:49:05.199743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f747e75b-63c4-466f-9683-25d39e9aacff · inbound
Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs cites this paper.
Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs An Expectation-Maximization Perspective on Reinforcement Learning for LLM Reasoning
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T01:24:25.674220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.