Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Insights from Rights and Wrongs: A Large Language Model for Solving Assertion Failures in RTL Design
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.04057.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-22T17:58:45.319714Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T18:01:54.448333Z
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 33b37b81-9c71-495c-8a62-1f0aaa3fae61 · inbound
From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification cites this paper.
From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification Insights from Rights and Wrongs: A Large Language Model for Solving Assertion Failures in RTL Design
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T18:01:54.450192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 17750a43-e15f-49fe-8069-0472dbb7bdef · inbound
Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench cites this paper.
Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench Insights from Rights and Wrongs: A Large Language Model for Solving Assertion Failures in RTL Design
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T17:52:42.987015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.