Paper Citation Record · LEDGER

Paradigm-Based Automatic HDL Code Generation Using LLMs

As of 11 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2501.12702.

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

pith.paper-citation-record.v1
2501.12702 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:56:25.028777Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:51:34.468268Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:51:34.763865Z

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy20
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7f87e6d-2ce2-4bde-9a47-27d31be645af · outbound

This paper cites Llm- aided efficient hardware design automation,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Llm- aided efficient hardware design automation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.665954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ccfe25ac-1b55-4d92-821f-b72962823dbd · outbound

This paper cites Machine learning in advanced ic design: A methodological survey,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Machine learning in advanced ic design: A methodological survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.649951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32a413d4-82d4-4ab8-8236-aedcf249c6e0 · outbound

This paper cites Prompting large language model for machine translation: A case study,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Prompting large language model for machine translation: A case study,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.633964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 154f7708-458e-4c7b-a45f-cd0e813b69a4 · outbound

This paper cites Tidybot: Personalized robot assis- tance with large language models,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Tidybot: Personalized robot assis- tance with large language models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.895339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6de3add-4cfb-406f-a476-b6aff5eaa049 · outbound

This paper cites The programmer’s assistant: Conversational interaction with a large language model for software development,.

Paradigm-Based Automatic HDL Code Generation Using LLMs The programmer’s assistant: Conversational interaction with a large language model for software development,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.607167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56da2583-5eb0-47b3-bef3-ee1b29c479d5 · outbound

This paper cites Autobench: Automatic testbench generation and evaluation using llms for hdl design,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Autobench: Automatic testbench generation and evaluation using llms for hdl design,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.592283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3248a29-ee1a-432d-bfce-fe3f433b9541 · outbound

This paper cites Au- tomated c/c++ program repair for high-level synthesis via large language models,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Au- tomated c/c++ program repair for high-level synthesis via large language models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.577264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 72e33f9a-7ce0-4f1c-b6da-d604b68801a2 · outbound

This paper cites Cor- rectbench: Automatic testbench generation with functional self-correction using llms for hdl design,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Cor- rectbench: Automatic testbench generation with functional self-correction using llms for hdl design,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.563089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15b9f622-73aa-4d49-b19b-e986aad896f9 · outbound

This paper cites Machine learning in advanced ic design: A methodological survey,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Machine learning in advanced ic design: A methodological survey,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.549474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a783b11-d5b6-4a85-8082-64d46494dfcd · outbound

This paper cites Benchmarking large language models for automated Verilog RTL code generation,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Benchmarking large language models for automated Verilog RTL code generation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.536295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 306b5856-5d08-42fe-9795-c877e6fb19f4 · outbound

This paper cites CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification.

Paradigm-Based Automatic HDL Code Generation Using LLMs CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.926034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec8528f-7fc4-4c7e-a48f-dd3cc3c7821a · outbound

This paper cites Chip-chat: Challenges and opportunities in conversational hardware design,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Chip-chat: Challenges and opportunities in conversational hardware design,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.522213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 048ec5db-0bc3-4810-9337-7d7c54c608c7 · outbound

This paper cites ChipNeMo: Domain-Adapted LLMs for Chip Design.

Paradigm-Based Automatic HDL Code Generation Using LLMs ChipNeMo: Domain-Adapted LLMs for Chip Design

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.934730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a8946fd-69f0-46a4-a104-b45bfc2fd493 · outbound

This paper cites RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution.

Paradigm-Based Automatic HDL Code Generation Using LLMs RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.939610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad6252c-8bb7-4e89-a9db-c423f26d0e1e · outbound

This paper cites VeriGen: A large language model for Verilog code generation,.

Paradigm-Based Automatic HDL Code Generation Using LLMs VeriGen: A large language model for Verilog code generation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.508590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1b89990-05e1-436d-8da3-6cd395464b61 · outbound

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

Paradigm-Based Automatic HDL Code Generation Using LLMs BetterV: Controlled Verilog Generation with Discriminative Guidance

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.948769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67785e7-a57a-4001-8599-d7732befea2e · outbound

This paper cites Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework.

Paradigm-Based Automatic HDL Code Generation Using LLMs Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.953362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e13f782-467f-42db-9370-2e5196326770 · outbound

This paper cites GPT-4 Technical Report.

Paradigm-Based Automatic HDL Code Generation Using LLMs GPT-4 Technical Report

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.957909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0479448-b951-425c-aa51-ec2a8742bdbd · outbound

This paper cites Rethinking the role of demonstrations: What makes in- context learning work?.

Paradigm-Based Automatic HDL Code Generation Using LLMs Rethinking the role of demonstrations: What makes in- context learning work?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.494942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e8eb1dc-d81d-40bb-b68a-b69639071828 · outbound

This paper cites Generation- augmented retrieval for open-domain question answering,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Generation- augmented retrieval for open-domain question answering,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.481498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee923d0d-106a-4cf2-99e7-3988d44d92d6 · outbound

This paper cites GPT4AIGChip: Towards next-generation ai accelerator design automation via large language models,.

Paradigm-Based Automatic HDL Code Generation Using LLMs GPT4AIGChip: Towards next-generation ai accelerator design automation via large language models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.466467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 09405cb9-79db-40bb-bd3b-7e96b459fb00 · outbound

This paper cites RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models.

Paradigm-Based Automatic HDL Code Generation Using LLMs RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.976202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00e55f1-787e-437f-9976-5035768fb84d · outbound

This paper cites HDLdebugger: Streamlining HDL debugging with Large Language Models.

Paradigm-Based Automatic HDL Code Generation Using LLMs HDLdebugger: Streamlining HDL debugging with Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.980840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de03a1db-27e3-46c4-b3e4-1bc2bf78edbb · outbound

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

Paradigm-Based Automatic HDL Code Generation Using LLMs AutoChip: Automating HDL Generation Using LLM Feedback

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.985879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5afa7c1-52e0-4c26-afbd-04787ef3989e · outbound

This paper cites VerilogEval: Evaluating large language models for Verilog code generation,.

Paradigm-Based Automatic HDL Code Generation Using LLMs VerilogEval: Evaluating large language models for Verilog code generation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.450882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ee4facd-2769-43bd-b3b7-8cfd541e1edc · outbound

This paper cites Do Large Language Models Latently Perform Multi-Hop Reasoning?.

Paradigm-Based Automatic HDL Code Generation Using LLMs Do Large Language Models Latently Perform Multi-Hop Reasoning?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.995196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf808edf-1b51-4bfc-8e85-3ad957092da7 · outbound

This paper cites Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process.

Paradigm-Based Automatic HDL Code Generation Using LLMs Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:24.999856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5695a7f-7741-40ff-a643-b95410af5770 · outbound

This paper cites Chain-of-Thought prompting elicits reasoning in large language models,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Chain-of-Thought prompting elicits reasoning in large language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.433716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 343f4688-8b86-475a-9d66-4ac2494f7117 · outbound

This paper cites To Believe or Not to Believe Your LLM.

Paradigm-Based Automatic HDL Code Generation Using LLMs To Believe or Not to Believe Your LLM

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:25.008733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bc00af6-c1ed-4809-971d-4ab31c613412 · outbound

This paper cites Coding techniques in verilog for finite state machine designs in FPGA,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Coding techniques in verilog for finite state machine designs in FPGA,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.418671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3e9fbf2-62be-4a57-afa0-c2a9f26c8620 · outbound

This paper cites GPT-3.5 turbo: Language models,.

Paradigm-Based Automatic HDL Code Generation Using LLMs GPT-3.5 turbo: Language models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.403035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 43d87bab-65c7-46bb-9785-6f54e72c0df5 · outbound

This paper cites GPT-4o mini: advancing cost-efficient intelligence,.

Paradigm-Based Automatic HDL Code Generation Using LLMs GPT-4o mini: advancing cost-efficient intelligence,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.387575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2c75609-4dbf-40da-bcb4-5b2f363dea8a · outbound

This paper cites Icarus Verilog: open-source Verilog more than a year later,.

Paradigm-Based Automatic HDL Code Generation Using LLMs Icarus Verilog: open-source Verilog more than a year later,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:25.371571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a614c6b9-1cf8-4f97-af9b-cc890f1acc2d · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Paradigm-Based Automatic HDL Code Generation Using LLMs Evaluating Large Language Models Trained on Code

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:25.028777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b92a209b-ba91-484e-b4fd-738d23884364 · inbound

VeriOpt: PPA-Aware High-Quality Verilog Generation via Multi-Role LLMs cites this paper.

VeriOpt: PPA-Aware High-Quality Verilog Generation via Multi-Role LLMs Paradigm-Based Automatic HDL Code Generation Using LLMs

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:51:34.767015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d7ee864-ebd9-487f-987d-96fdb7070ac2 · inbound

A Progressive Approach to Synthesizable RTL Design Generation Using LLMs cites this paper.

A Progressive Approach to Synthesizable RTL Design Generation Using LLMs Paradigm-Based Automatic HDL Code Generation Using LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T15:14:11.153759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.