Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:36:25.257526Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 11 inbound Pith citation observations for arXiv:2505.13479.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:36:25.257526Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:40:15.702642Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T03:56:34.651017Z
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 77ab3b03-1b8b-4bed-b088-49ea7fe3e3d0 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Unresolved cited work
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RTL++: Graph-enhanced LLM for RTL Code Generation Language Models are Few-Shot Learners
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RTL++: Graph-enhanced LLM for RTL Code Generation CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
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Observation 55998e7f-d39a-4c93-9dd8-a192d6067b00 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Evaluating large language models trained on code,
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Observation 6be11f3a-62dc-421b-a322-c5784d94c2d7 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Competition-level code generation with alphacode,
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Observation 98ed9788-4c22-483d-8c86-06199167d0c4 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation PaLM 2 Technical Report
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Observation 23d6a493-ba50-4819-898c-2d8c935c8288 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Claude: An ai assistant built by anthropic,
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RTL++: Graph-enhanced LLM for RTL Code Generation OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection
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RTL++: Graph-enhanced LLM for RTL Code Generation Simeval: Investigating the similarity obstacle in llm-based hardware code generation,
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Observation aaf6f6ca-410b-45b4-bcae-3968e507b2f6 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution,
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RTL++: Graph-enhanced LLM for RTL Code Generation LLM-IFT: LLM-Powered Information Flow Tracking for Secure Hardware
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Observation 95477ae3-0a13-49c5-810a-fb95b949ea99 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Self-hwdebug: Automation of llm self-instructing for hardware security verification,
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RTL++: Graph-enhanced LLM for RTL Code Generation Gpt4aigchip: Towards next-generation ai accelerator design automation via large language models,
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Observation a02be447-db27-4fc4-84b2-62540e9bd02f · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Evolutionary large language models for hardware security: A comparative survey,
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Observation e3d0a2eb-df63-425d-a350-a62d35ea0ad6 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation VeriGen: A Large Language Model for Verilog Code Generation
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Observation e6d5a876-ea64-400d-b6e9-b201a5ba5048 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation BetterV: Controlled Verilog Generation with Discriminative Guidance
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Observation 77c14e65-df97-4d60-a528-14ad3aef5f53 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs
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Observation 93b73ae5-1fb0-494b-ad83-cc189df9f6aa · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair
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Observation 0b8d7427-da3a-496b-86ca-6bb24e9f957e · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Let your graph do the talking: Encoding structured data for llms,
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RTL++: Graph-enhanced LLM for RTL Code Generation REALM: Retrieval-Augmented Language Model Pre-Training
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Observation 88c1a8e4-ee73-48ff-b71a-2b30d8b3e16c · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Graphllm: Boosting graph reasoning ability of large language model,
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RTL++: Graph-enhanced LLM for RTL Code Generation G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
Reference 23
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Observation 87bf4140-9d89-427a-895c-9e58d3cdfed5 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Talk like a Graph: Encoding Graphs for Large Language Models
Reference 24
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Observation 9ed00215-cc97-4008-91b1-f3c84a173b2e · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization
Reference 25
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Observation bf4d0259-9c38-4104-9530-139bf18e52e7 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation ChipNeMo: Domain-Adapted LLMs for Chip Design
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Observation b452a824-98ff-4768-96d3-7a60c464cabe · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Data is all you need: Finetuning llms for chip design via an automated design-data augmentation framework,
Reference 27
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Observation 03acc1df-d7ed-4f31-933c-51e29b9225da · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Chateda: A large language model powered autonomous agent for eda,
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RTL++: Graph-enhanced LLM for RTL Code Generation MAGE: A Multi-Agent Engine for Automated RTL Code Generation
Reference 29
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Observation 76f5b5e0-d301-40f9-a547-3ea939dbb492 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation CodeGraph: Enhancing Graph Reasoning of LLMs with Code
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Observation 494a654b-63b5-486f-b366-2ce34cae114a · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
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Observation a98db5ba-769e-4874-8269-0d5d522aeb0f · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Graphinstruct: Empowering large language models with graph understanding and reasoning capability,
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Observation 1675e897-4d64-448c-adff-7c42379a155d · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Graph convolutional networks in language and vision: A survey,
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RTL++: Graph-enhanced LLM for RTL Code Generation Yosys-a free verilog synthesis suite,
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RTL++: Graph-enhanced LLM for RTL Code Generation Bounded model checking using satisfiability solving,
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RTL++: Graph-enhanced LLM for RTL Code Generation A Survey on In-context Learning
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Observation 40b96f99-4b3f-4429-bd69-7c81f734e511 · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation Code llama: Open foundation models for code,
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Observation c0364602-f2d4-4f3b-8b12-db9a1112934d · outbound
RTL++: Graph-enhanced LLM for RTL Code Generation DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
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RTL++: Graph-enhanced LLM for RTL Code Generation Verilogeval: Evaluating large language models for verilog code generation,
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RTL++: Graph-enhanced LLM for RTL Code Generation Revisiting VerilogEval: A Year of Improvements in Large-Language Models for Hardware Code Generation
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RTL++: Graph-enhanced LLM for RTL Code Generation RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model
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RTL++: Graph-enhanced LLM for RTL Code Generation Lora: Low-rank adaptation of large language models,
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RTL++: Graph-enhanced LLM for RTL Code Generation LoRA: Low-Rank Adaptation of Large Language Models
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RTL++: Graph-enhanced LLM for RTL Code Generation Evaluating Large Language Models Trained on Code
Reference 2021
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RTL++: Graph-enhanced LLM for RTL Code Generation Code Llama: Open Foundation Models for Code
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DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs RTL++: Graph-enhanced LLM for RTL Code Generation
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