Paper Citation Record · LEDGER

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation

As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 6 inbound Pith citation observations for arXiv:2507.13369.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.13369 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:54:08.354441Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T10:18:18.439819Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T10:21:24.123010Z

Reference resolution

55 of 55 outbound references displayed

verified exact2
verified fuzzy1
unresolved49
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a10dbe5d-33bc-403b-998a-2880c8229865 · outbound

This paper cites RTL++: Graph-enhanced LLM for RTL Code Generation.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation RTL++: Graph-enhanced LLM for RTL Code Generation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:01.135603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b84afa-e999-46d3-bac9-982d151e82df · outbound

This paper cites RTL-Repo: A Benchmark for Evaluating LLMs on Large-Scale RTL Design Projects.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation RTL-Repo: A Benchmark for Evaluating LLMs on Large-Scale RTL Design Projects

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:01.267418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b2da6f3-3193-4885-890d-e075a70bd0eb · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:01.386800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a7c6b7-62ed-49fe-b687-b47f3ec86d11 · outbound

This paper cites Anisuzzaman, Jeffrey G.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Anisuzzaman, Jeffrey G

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:01.526301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a2c3bc5-dcf5-4be6-a7f3-94b4927119e8 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:54:10.737342Z

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 e09d4de7-e60b-42c5-a5d5-e4446d53403e · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:14.449011Z

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 7a63227a-4c47-4c42-a748-650d32340ace · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:02.068618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72125041-3c31-41d1-a061-b7525c0e3a05 · outbound

This paper cites OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:02.176953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f77a25ab-2fc7-4606-9063-a96fa633dcd5 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:02.329584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f22972f-0dfb-4b4d-a07d-f8a42b5ab601 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:14.175698Z

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 651476be-b7fa-4c98-a809-4d4b97d7c193 · outbound

This paper cites AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:02.632033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c5e1b1-e41a-4af5-bc85-4680b71daeff · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:02.758598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875681a2-ef83-4c90-b9dd-5109fcf347f8 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:13.894674Z

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 c3eb0603-03b0-431f-941d-8d2b6b3b85bc · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78aa2294-6bdd-4293-a63e-52b6df3efae6 · outbound

This paper cites A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:03.131339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec2bcc49-4d3d-44de-a12a-7dc6e5875562 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:03.235975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b013b2f8-21c6-4a03-bfdf-94cbcd9e66c4 · outbound

This paper cites Mistral 7B.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Mistral 7B

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:03.368425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e74ad02a-5eb3-4c34-8bf5-57c53520c96d · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:03.473036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c825cad2-ac98-47cb-a220-1184daa774f6 · outbound

This paper cites Deduplicating Training Data Makes Language Models Better.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Deduplicating Training Data Makes Language Models Better

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:03.687884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ec78f87-40c2-408d-9fb4-24fbcba1a705 · outbound

This paper cites VerilogEval: Evaluating Large Language Models for Verilog Code Generation.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation VerilogEval: Evaluating Large Language Models for Verilog Code Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:03.834957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29733efa-2f3a-4549-a08d-fd0b32e1cd78 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:13.644505Z

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 b84b810b-0b11-4318-a365-c6fdd17a71a5 · outbound

This paper cites CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:04.068314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 038280a7-181b-4f1c-a9d2-0fe6eba5fb36 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:13.449856Z

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 641fc030-1226-4efb-9fd3-cbbded337636 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:04.314064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28db3509-a7f0-4568-b70c-622af0161cc7 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:13.237041Z

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 ec42d299-06d0-47c8-bc27-75352a50b2e6 · outbound

This paper cites CoopetitiveV: Leveraging LLM-powered Coopetitive Multi-Agent Prompting for High-quality Verilog Generation.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation CoopetitiveV: Leveraging LLM-powered Coopetitive Multi-Agent Prompting for High-quality Verilog Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:04.651359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e677e4c0-b494-41c3-8ae4-741970cfba20 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:12.989185Z

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 5d29e760-4684-46fc-b3e3-5d8cc16129db · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:12.802889Z

Source-reported events for the cited work

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Observation 6a9bf15d-ea06-481d-948b-419ba7b6b314 · outbound

This paper cites The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:05.022427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae65f8f-a36b-4171-b829-ed307dbfac44 · outbound

This paper cites BetterV: Controlled Verilog Generation with Discriminative Guidance.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation BetterV: Controlled Verilog Generation with Discriminative Guidance

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:05.126668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a21e371-1cb7-42e8-bad0-27e0ff7349ba · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:12.571051Z

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Observation d676c8e8-ea71-4ffe-a917-a5057dd591b9 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:12.288318Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ae36723-9a16-40ac-a5ca-4300bcb3dbe0 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Code Llama: Open Foundation Models for Code

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:05.479690Z

Source-reported events for the cited work

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Observation ae80009f-77bb-4a72-aac3-743dd156a81a · outbound

This paper cites ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:05.579429Z

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Unavailable: canonical work link unavailable.

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This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 36

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Source-reported events for the cited work

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Observation d6fad484-4ac1-4ff1-af72-b1b07ec3f331 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:05.873365Z

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Observation 9e0dc599-a63e-4ccd-9e4b-7f45005a1f7c · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:06.032638Z

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Unavailable: canonical work link unavailable.

Observation 8b3b766e-921c-46a0-b12a-97caff4b233d · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:06.152908Z

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Unavailable: canonical work link unavailable.

Observation 6303fa18-1193-4166-89e7-27f0ff8b424e · outbound

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VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:12.026342Z

Source-reported events for the cited work

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Observation 19fc6238-5e88-4662-9a20-8881acd9c77b · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 41

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Source-reported events for the cited work

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Observation cc20c690-7cbc-4f2f-8bcd-3b073fbfec4f · outbound

This paper cites 2003–2024.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation 2003–2024

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:54:11.823313Z

Source-reported events for the cited work

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Observation 1ff4b7ea-e1b9-449d-af46-9787d53ee2a8 · outbound

This paper cites Code Needs Comments: Enhancing Code LLMs with Comment Augmentation.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Code Needs Comments: Enhancing Code LLMs with Comment Augmentation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:06.711807Z

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Unavailable: canonical work link unavailable.

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VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 44

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Unavailable: canonical work link unavailable.

Observation 4b89ba3f-243e-4fd6-8fae-89894c62bb6a · outbound

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VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 45

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Observation 2c03ee3c-32d0-430b-bc7f-c4a82d542620 · outbound

This paper cites AutoChip: Automating HDL Generation Using LLM Feedback.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation AutoChip: Automating HDL Generation Using LLM Feedback

Reference 46

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Observation e54a1fef-7684-4dfd-a8f9-c9e708825b15 · outbound

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VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Large Language Model for Verilog Generation with Code-Structure-Guided Reinforcement Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:07.258005Z

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Observation 45348d40-ec93-427d-8a98-3b048dc9e23b · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:11.574193Z

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 a6144f9d-f69d-4ead-a482-f14a22559935 · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:11.332938Z

Source-reported events for the cited work

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Observation ab364fab-2a32-4f43-8a27-3d407ce5fa63 · outbound

This paper cites ITERTL: An Iterative Framework for Fine-tuning LLMs for RTL Code Generation.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation ITERTL: An Iterative Framework for Fine-tuning LLMs for RTL Code Generation

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:54:09.072292Z

Source-reported events for the cited work

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Observation 67568d7d-35d0-4bb2-856c-7a63343b9357 · outbound

This paper cites Retrieval-Augmented Generation for Natural Language Processing: A Survey.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Retrieval-Augmented Generation for Natural Language Processing: A Survey

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:07.751758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc096ab0-8289-426f-a591-649eb41ab63e · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 52

Resolution: verified exact; doi, observed 2026-08-06T18:54:08.637092Z

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 5dbe9fa7-301c-4d5f-b311-a3cb74c2e5de · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 53

Resolution: malformed identifier; no resolver link, observed 2026-08-06T18:54:07.992463Z

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Unavailable: canonical work link unavailable.

Observation 1028c840-b1d7-4b8c-9d81-23d983744f2e · outbound

This paper cites an unresolved cited work.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:54:11.022788Z

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 2d72072e-4d8f-4835-8b7e-93e9bc60ead6 · outbound

This paper cites LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:08.228759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8b12cfa-3e10-49b9-8573-2cc9f09ee628 · outbound

This paper cites CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:08.354441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f542bc07-2733-46a0-a9bd-5283cddce09d · inbound

Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware logic design automation cites this paper.

Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware logic design automation VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T05:29:05.111153Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8d6578da-4638-40d0-acab-a4918decab0b · inbound

ATLAS: AI-Assisted Threat-to-Assertion Learning for System-on-Chip Security Verification cites this paper.

ATLAS: AI-Assisted Threat-to-Assertion Learning for System-on-Chip Security Verification VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T18:26:27.136638Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6342c292-8912-405d-8da7-ca419b50713d · inbound

Emulation-based System-on-Chip Security Verification: Challenges and Opportunities cites this paper.

Emulation-based System-on-Chip Security Verification: Challenges and Opportunities VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:55:04.352291Z

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 4c35b439-34a9-461e-be6a-9035c7e6c33a · inbound

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs cites this paper.

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:17:37.532032Z

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 ebbaf50f-f652-4051-8d51-4af596f142ec · inbound

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs cites this paper.

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:21:24.127246Z

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 674020dc-82a0-4147-8590-785a8cbbae44 · inbound

Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models cites this paper.

Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:04:17.774525Z

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.