Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Linear Dynamics in the RLVR Training of Large Language Models
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2601.04537.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T14:41:13.191919Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-06-29T14:43:30.547132Z
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 58fdd547-04f1-44a4-b527-fe5c2f52aa99 · inbound
Alignment Dynamics in LLM Fine-Tuning cites this paper.
Alignment Dynamics in LLM Fine-Tuning Linear Dynamics in the RLVR Training of Large Language Models
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:03:53.599274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d57c11c3-5dc4-4f5c-ad18-85729c301de2 · inbound
You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories cites this paper.
You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories Linear Dynamics in the RLVR Training of Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:03:53.599274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9598fe67-d3c8-48b7-8c83-1f38880eb22f · inbound
Extrapolative Weight Averaging Reveals Correctness-Efficiency Frontiers in Code RL cites this paper.
Extrapolative Weight Averaging Reveals Correctness-Efficiency Frontiers in Code RL Linear Dynamics in the RLVR Training of Large Language Models
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:43:30.548612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.