Paper Citation Record · LEDGER

CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:2407.10424.

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

pith.paper-citation-record.v1
2407.10424 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:50:20.321110Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.579871Z

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 b5e7a5e6-a702-46a8-9aff-71c216955778 · inbound

EDA-Aware RTL Generation with Large Language Models cites this paper.

EDA-Aware RTL Generation with Large Language Models CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T15:59:15.145225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fe13fd3-e20c-4a72-83b7-08f5a104424a · inbound

MAGE: A Multi-Agent Engine for Automated RTL Code Generation cites this paper.

MAGE: A Multi-Agent Engine for Automated RTL Code Generation CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T18:27:06.490769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbdd189e-8ce1-4fd5-b991-cad91e302892 · inbound

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

CoopetitiveV: Leveraging LLM-powered Coopetitive Multi-Agent Prompting for High-quality Verilog Generation CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T15:27:03.686852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eab1210-ce69-40b4-9d55-d803e0ff730e · inbound

VRank: Enhancing Verilog Code Generation from Large Language Models via Self-Consistency cites this paper.

VRank: Enhancing Verilog Code Generation from Large Language Models via Self-Consistency CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T16:58:06.922350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fbbbfda-276f-4ef0-8e81-d7e34b71a737 · inbound

ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model cites this paper.

ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:50:20.321110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e5fbf4-a662-4324-8cb6-dc373464e236 · inbound

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence cites this paper.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.561073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0bcd161-aed8-4d82-bb37-6f7587a6a80d · inbound

Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback cites this paper.

Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:22:02.411161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b84e97d2-6764-44b1-9228-228b01f3de66 · inbound

SysVCoder: An LLM-Driven Framework for Systematic Generation of System-Level Design cites this paper.

SysVCoder: An LLM-Driven Framework for Systematic Generation of System-Level Design CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T05:29:32.674369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11fccd4a-aa20-4d6e-8ca8-b79bc7e4474e · inbound

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs cites this paper.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:51:43.706606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed00215-cc97-4008-91b1-f3c84a173b2e · inbound

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

RTL++: Graph-enhanced LLM for RTL Code Generation CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T22:36:25.170036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03b2f517-8ef1-4471-a8f4-84c3b56e0632 · inbound

Generalizing Large Language Model Usability Across Resource-Constrained cites this paper.

Generalizing Large Language Model Usability Across Resource-Constrained CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 174

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:56.165183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3241580-6cfb-49c4-bb12-31ae92cd9c3c · inbound

QiMeng: Fully Automated Hardware and Software Design for Processor Chip cites this paper.

QiMeng: Fully Automated Hardware and Software Design for Processor Chip CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T10:34:04.440105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9344ee08-656b-4539-badc-d0506c4ad5ec · inbound

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation cites this paper.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:01.791486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 520549f3-3cdb-4526-b9ef-f95cbc7af926 · inbound

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code cites this paper.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:45.891832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c12281d2-3c50-493a-8fe9-498fe59291f2 · inbound

DeepRTL2: A Versatile Model for RTL-Related Tasks cites this paper.

DeepRTL2: A Versatile Model for RTL-Related Tasks CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:18:33.157835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64c55f0-354c-4805-bc63-d4b833adf4a1 · inbound

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs cites this paper.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:18.024044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d5e0224-7642-48d0-933a-ffad530752a2 · inbound

ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning cites this paper.

ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:52:08.299671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

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

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.

Observation eb763f17-06c6-48d0-b171-5590dbc2d541 · inbound

VeriRAG: A Retrieval-Augmented Framework for Automated RTL Testability Repair cites this paper.

VeriRAG: A Retrieval-Augmented Framework for Automated RTL Testability Repair CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:12:02.209092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 892fc982-7977-4821-90dc-29c55e5fc431 · inbound

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs cites this paper.

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:19:52.497138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f81ea3dc-cd62-4d29-91e5-6213f4b06e55 · inbound

Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph Learning cites this paper.

Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph Learning CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T16:21:02.223190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 011bea9b-692c-4736-9de7-212f8604c569 · inbound

Large Language Models (LLMs) for Electronic Design Automation (EDA) cites this paper.

Large Language Models (LLMs) for Electronic Design Automation (EDA) CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T15:17:26.718735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b421b10-a84c-46b8-a9d8-30b342218a20 · 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 CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.103851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c5d4d52-04c6-4add-96de-9499b0f039ca · inbound

HWE-Bench: Benchmarking LLM Agents on Real-World Hardware Bug Repair Tasks cites this paper.

HWE-Bench: Benchmarking LLM Agents on Real-World Hardware Bug Repair Tasks CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:30:18.921558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf86cddd-4bab-443a-b8c8-640df5c947e6 · inbound

Dr. RTL: Autonomous Agentic RTL Optimization through Tool-Grounded Self-Improvement cites this paper.

Dr. RTL: Autonomous Agentic RTL Optimization through Tool-Grounded Self-Improvement CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:49:56.222769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0d6ba6b6-b1c6-4ade-815e-97e6020feda3 · inbound

ChipCraftBrain: Validation-First RTL Generation via Multi-Agent Orchestration cites this paper.

ChipCraftBrain: Validation-First RTL Generation via Multi-Agent Orchestration CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:36:08.297773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6c8ef86-10b7-4913-9dd3-fd0bcf07c3c5 · inbound

RTL-BenchMT: Dynamic Maintenance of RTL Generation Benchmark Through Agent-Assisted Analysis and Revision cites this paper.

RTL-BenchMT: Dynamic Maintenance of RTL Generation Benchmark Through Agent-Assisted Analysis and Revision CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:42:37.314756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b666e4e6-8cdb-42e7-ad85-3229f4631567 · inbound

Fine-Tuning and Serving Gemma 4 31B on Google Cloud TPU: A Technical Comparison with GPU Baselines cites this paper.

Fine-Tuning and Serving Gemma 4 31B on Google Cloud TPU: A Technical Comparison with GPU Baselines CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:44:02.238453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1bd2af05-0bed-4e29-944b-48a62446152f · inbound

Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation cites this paper.

Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:53:51.292619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a705916c-4410-4083-98f1-8da729de60d1 · inbound

StepPRM-RTL: Stepwise Process-Reward Guided LLM Fine-Tuning for Enhanced RTL Synthesis cites this paper.

StepPRM-RTL: Stepwise Process-Reward Guided LLM Fine-Tuning for Enhanced RTL Synthesis CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:56:34.644611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d53de3cd-0c63-4e63-9177-4943b3098bae · inbound

CASS-RTL: Correctness-Aware Subspace Steering for RTL Generation with LLMs cites this paper.

CASS-RTL: Correctness-Aware Subspace Steering for RTL Generation with LLMs CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:57:07.370387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 395356ed-b272-477a-a96b-ff5822e40d56 · inbound

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards cites this paper.

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:27:22.726396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40800197-a8a7-4c84-a4ba-df4b90c1bf01 · inbound

EstRTL: Functional Estimation Guided RTL Code Generation cites this paper.

EstRTL: Functional Estimation Guided RTL Code Generation CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:06:24.837494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8af5ae9e-cc30-40e6-8807-5f5f0a8d851c · inbound

VeriPilot: An LLM-Powered Verilog Debugging Framework cites this paper.

VeriPilot: An LLM-Powered Verilog Debugging Framework CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:39:49.544465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1af5f32f-ad87-40bf-8541-5a983a74f0ab · inbound

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research cites this paper.

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 116

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:55.581949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8db45597-cc1a-4865-8dd6-e2800e16bf3b · inbound

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research cites this paper.

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:44:39.762438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 073632ca-d4c3-4310-891f-7401bfc85ec8 · inbound

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research cites this paper.

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-02T10:03:40.527135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c890de6-b127-4db1-8764-e36269405178 · inbound

RTLCurator: Label-Efficient Data Curation for RTL Generation cites this paper.

RTLCurator: Label-Efficient Data Curation for RTL Generation CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T10:08:39.950560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.