Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.06508.
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 2026-08-04T18:53:02.770333Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:56:29.951632Z
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 beefff04-48de-4cf9-b381-03c75111e970 · inbound
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models cites this paper.
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:53:02.770333Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2352f16-e9ff-4379-9aaf-4d06f4f24489 · inbound
Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling cites this paper.
Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:56:29.953706Z
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.