Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.15804.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:54.929448Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:21:01.812135Z
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 3ec5f2a1-0732-431b-80ce-7f6d64f9296d · inbound
iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs cites this paper.
iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:21:01.949937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ab754f08-a62c-47d1-9883-98313771a904 · inbound
A Progressive Approach to Synthesizable RTL Design Generation Using LLMs cites this paper.
A Progressive Approach to Synthesizable RTL Design Generation Using LLMs Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:14:11.555202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.