Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating Large Language Models for Automatic Register Transfer Logic Generation via High-Level Synthesis
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.02793.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:36.151403Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T20:32:57.095809Z
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 04278365-2610-4d17-b8bd-c3e561e715ff · inbound
ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols cites this paper.
ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols Evaluating Large Language Models for Automatic Register Transfer Logic Generation via High-Level Synthesis
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:36.151403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ce3fab5-8d44-4723-98fa-6967ca215c9b · inbound
Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems cites this paper.
Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Evaluating Large Language Models for Automatic Register Transfer Logic Generation via High-Level Synthesis
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:31:00.553945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bc92dcf-36b7-4490-ba7f-addce36672a4 · inbound
HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning cites this paper.
HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning Evaluating Large Language Models for Automatic Register Transfer Logic Generation via High-Level Synthesis
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:32:57.098956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.