Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2508.05242.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T10:40:48.632259Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T17:05:50.847043Z
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 580f43ad-e190-4243-a5c5-cc26060f8c41 · inbound
CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts cites this paper.
CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:40:48.632259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bd90871-6fa5-4941-b7e0-192da2733377 · inbound
CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment cites this paper.
CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:20:54.573655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2a36174b-1297-432d-b3fc-2b201f09ec34 · inbound
Think Anywhere in Code Generation cites this paper.
Think Anywhere in Code Generation CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:18:25.594631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 995da8a0-5520-432d-8099-f9af7e7f89e9 · inbound
Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning cites this paper.
Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:46:25.239887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 708e2a2e-c46d-4f1b-8e10-db2fce0aa453 · inbound
BashCoder-R1: Towards Robust and Explainable Bash Code Generation with Robustness-Aware Group Relative Policy Optimization cites this paper.
BashCoder-R1: Towards Robust and Explainable Bash Code Generation with Robustness-Aware Group Relative Policy Optimization CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T17:05:50.848607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.