Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Zero-Shot RTL Code Generation with Attention Sink Augmented Large Language Models
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.08683.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T19:49:55.659753Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:05:57.960848Z
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 e0ee390f-ac15-48b2-b3a6-e96972f52c8c · inbound
A Survey of Research in Large Language Models for Electronic Design Automation cites this paper.
A Survey of Research in Large Language Models for Electronic Design Automation Zero-Shot RTL Code Generation with Attention Sink Augmented Large Language Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:49:55.659753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8341d2bb-aaf1-402a-aac9-89cdec1b34ba · inbound
Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation cites this paper.
Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation Zero-Shot RTL Code Generation with Attention Sink Augmented Large Language Models
Reference 158
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:05:57.963151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.