Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models and Attention-Based AI for Hardware Design and Security: Progress, Challenges, and Opportunities
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.08854.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:20:07.049247Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4b6c1872-2e44-4e81-a831-00341193c28d · inbound
AI Agents for Photonic Integrated Circuit Design Automation cites this paper.
AI Agents for Photonic Integrated Circuit Design Automation Large Language Models and Attention-Based AI for Hardware Design and Security: Progress, Challenges, and Opportunities
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:20:07.049247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8167a1db-5ae7-49cf-970c-248f3a33be0d · inbound
RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring cites this paper.
RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring Large Language Models and Attention-Based AI for Hardware Design and Security: Progress, Challenges, and Opportunities
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.236282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37f646a9-e5c9-40f4-88a5-5fda82e369c3 · inbound
Surveying GenAI-based Automation in Printed Circuit Board Design and Test cites this paper.
Surveying GenAI-based Automation in Printed Circuit Board Design and Test Large Language Models and Attention-Based AI for Hardware Design and Security: Progress, Challenges, and Opportunities
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-29T00:24:31.099035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ebed98c8-64a4-49b9-bfe4-eb1cad9e5a3a · inbound
LIB-TRAP: Standard Cell Library Hardware Trojan Risk Assessment and Prevention cites this paper.
LIB-TRAP: Standard Cell Library Hardware Trojan Risk Assessment and Prevention Large Language Models and Attention-Based AI for Hardware Design and Security: Progress, Challenges, and Opportunities
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-29T00:24:31.099035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.