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Paper Citation Record · LEDGER

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems

As of 17 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2506.13905.

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

pith.paper-citation-record.v1
2506.13905 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:31:00.660814Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T03:58:14.042598Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6316409e-7d6d-4d4d-afd8-7479181d9e30 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.562694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.437580Z digest=sha256:225060b7078e4d5447ac16e61e77a43995932315a9308b6d05645e47643dd204

Observation ff949d8b-c77f-4771-830f-bdb6de750625 · outbound

This paper cites Gpt-3.5,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Gpt-3.5,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.549132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.442616Z digest=sha256:1744d6b101331e2f86e4864f1c4cb33758cba1c8afabf9337aabd7f2a57f6df6

Observation 60c91918-1c9c-49bf-aa5c-c6634ea5b8fe · outbound

This paper cites Github copilot,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Github copilot,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.535034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.447366Z digest=sha256:309fa6c4d403d53312ca1f3513ab2ac2f89f517591eadf1b2ff2e61f48bcd6ca

Observation ebf9e119-eb7c-485a-b6b8-f21b0756c92a · outbound

This paper cites GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.452289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.452289Z digest=sha256:3fc1df4a45fc700aa60d27a7efc6a87397b0257bfbe9d59640c35867f2298ec0

Observation 7444a3c0-2d95-422e-8536-a27aff96fcef · outbound

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

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems VerilogEval: Evaluating Large Language Models for Verilog Code Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.458485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.458485Z digest=sha256:989c43c69f67213af7a4a71821f4fe1e02de4f54c3a1802bfe46a1cb6b62a35c

Observation ae9f620a-8bc0-44ee-8e46-5e8db082ebdb · outbound

This paper cites RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.464408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.464408Z digest=sha256:3c416028a58c77433d094d0a554a83765f0aaaa4e3cb0cbd742ba81c6098a74f

Observation b4a26254-788b-4076-9ea0-95cce855e9ae · outbound

This paper cites Chip-Chat: Challenges and Opportunities in Conversational Hardware Design.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Chip-Chat: Challenges and Opportunities in Conversational Hardware Design

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.470045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.470045Z digest=sha256:1acab4cc5e5015332e30197c36c096da76f0e594f0e46d00a30bcdcda651aa13

Observation d443ae1e-615b-4856-af3a-90402de4656e · outbound

This paper cites ChatEDA: A Large Language Model Powered Autonomous Agent for EDA.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems ChatEDA: A Large Language Model Powered Autonomous Agent for EDA

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.475557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.475557Z digest=sha256:2ddf244428ae0ff44dc2d00698c045d82a2e58ed3168929258061e0bc8063965

Observation 3120106e-599f-4138-a0a5-eb93bfefb473 · outbound

This paper cites Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correction.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correction

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.481281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.481281Z digest=sha256:75a3db5d5249ae557d2d6704fd7756e4ff5a9adb5b4a756b72e96b9d76cab389

Observation d9376281-9a54-4627-acda-4289cfff38d4 · 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.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.486398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.486398Z digest=sha256:c6a181ef413296cefec1e9335e9b92296c4352917077be163f4df41113ec0d6c

Observation d9e31526-002e-4763-8e01-bcc9f64d5a17 · outbound

This paper cites VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.491880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.491880Z digest=sha256:f0bacc58e251821183c08cc4a4996b33f192809055e26fee0887de9d711031a3

Observation 87a63836-3ec5-4373-aa85-4e0bfbf5530c · outbound

This paper cites Chatcpu: An agile cpu design and verification platform with llm,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Chatcpu: An agile cpu design and verification platform with llm,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.520290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.506779Z digest=sha256:9f6ae367f1e08d0057d5f40f3a223a03256f343c1750b1acdd895fe81105420c

Observation 92f955af-2749-4f8c-8a94-1660fe7643f1 · outbound

This paper cites Key stages of hardware product development,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Key stages of hardware product development,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.504137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.511079Z digest=sha256:ee87216a1f3fb7b3cd90a82ea2822a841a21f402caf44fb48eab943d24571ee6

Observation a57462de-2214-4548-9213-799abdf3418a · outbound

This paper cites Overview of the hardware product development stages: Poc,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Overview of the hardware product development stages: Poc,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.488934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.515356Z digest=sha256:1de73d7af6b09178e17d9ffdb8edf876d7be236eacbf2b2b155cac102b37aff3

Observation a884baa6-b6c4-4978-8f32-bb05b09f04d5 · outbound

This paper cites Key phases of hardware product development,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Key phases of hardware product development,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.472863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.520078Z digest=sha256:7842eb7ab3aa4fab4dd455829b91b8364acb1018940df6430c7a57bfa525295c

Observation bff2fbcb-feab-4255-9080-484364914640 · outbound

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

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.525028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.525028Z digest=sha256:f4d385cd253fd938b9a6699db9474dc00dc38bbccd3670c76440c45a04fb9b6d

Observation 8c4491b8-3d5d-4c53-880a-fd36e9b476b8 · outbound

This paper cites Mg-verilog: Multi- grained dataset towards enhanced llm-assisted verilog generation,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Mg-verilog: Multi- grained dataset towards enhanced llm-assisted verilog generation,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.456957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.529896Z digest=sha256:8101de98c13b913693d6f1672f0e7d2990bb6771071840fe150548a39812afea

Observation 7457b8ea-3bfe-48f0-b7e6-974eca57251e · outbound

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

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems ChipNeMo: Domain-Adapted LLMs for Chip Design

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.534847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.534847Z digest=sha256:20ce5211c7643a74f77c5a046e39275b5eb5f8372b0484cf4a8a46dae7464e4d

Observation 07f317d7-91f4-4f6c-a8d0-7476bbe860d0 · outbound

This paper cites ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:31:01.052482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.539798Z digest=sha256:565f0a5efef5bdb71a9f98bb32a56c3c2a62cd03d8b2cbf8607f6b4539c8c808

Observation 9556f938-ae7c-4605-a472-3e12c98cb13b · outbound

This paper cites Rtl- coder: Fully open-source and efficient llm-assisted rtl code generation technique,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Rtl- coder: Fully open-source and efficient llm-assisted rtl code generation technique,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.441524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.545124Z digest=sha256:347c99132ca49d2efb04dabcb5108851e5c4965175220f0070b79abbd524ab8f

Observation 2c564388-327f-4f48-99e5-dd0350149105 · outbound

This paper cites HLSPilot: LLM-based High-Level Synthesis.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems HLSPilot: LLM-based High-Level Synthesis

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.549355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.549355Z digest=sha256:6073643920f3a81eb885dfe42b2890f3ab006eeccbebd0c8526072356b899cf1

Observation 0ce3fab5-8d44-4723-98fa-6967ca215c9b · outbound

This paper cites Evaluating Large Language Models for Automatic Register Transfer Logic Generation via High-Level Synthesis.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Evaluating Large Language Models for Automatic Register Transfer Logic Generation via High-Level Synthesis

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.553945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.553945Z digest=sha256:a91b65a602d022b949b9f3bc9077ff62aadd5a23aba3f48e876b9f6c721d6393

Observation 0fc942f1-574a-46f0-98d2-2cde3d4be9b3 · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems AutoAgents: A Framework for Automatic Agent Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.559117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.559117Z digest=sha256:f1f5318457d8fbf5f253acad707fa81f67cf562bfcdf0c67abac2262328efddf

Observation b2220afa-3bb4-4e75-90ac-389905e7eca5 · outbound

This paper cites EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.564263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.564263Z digest=sha256:db82521c325394d1085d0d0a2d56c3b419fb16a814dc8284ae640013ff1cecd1

Observation e9817ff6-cc02-4aef-ab3d-e48b806bd0da · outbound

This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversations,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Autogen: Enabling next-gen llm applications via multi-agent conversations,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.425966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.569270Z digest=sha256:180a5c8496135045459c55bf5fc7d7e4dc6885bf883c8a070fb66814b7179c0b

Observation f2dc5034-96ba-4d83-9797-f28f804bcf37 · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.573591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.573591Z digest=sha256:563577f8a9cd2fcaea6b033299e03f313353ff18291dd26eaf11b9f83f92b9cd

Observation cde82a84-731a-41ac-a7e0-9915fe5e9db7 · outbound

This paper cites Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.578651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.578651Z digest=sha256:65fe6c81d6795ca65b91239fef5c7db786e822af2df0b196a06819b58cbfe0df

Observation bb96d805-076e-4d38-97a3-f2ac2f10c8ea · outbound

This paper cites AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.583804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.583804Z digest=sha256:abd421cddb78ae59172a3bb64bbaf2e367504e9c571a25655921bb1f6d0cb0a2

Observation 60f25f09-5c38-4b63-b90b-874471d97132 · outbound

This paper cites AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.589929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.589929Z digest=sha256:e32d3ff1450fcd09f20879aaa1cc62f2c20c09f5caf4999e44d7b6284955e9ce

Observation 15e583c6-84ee-4b26-9511-9118f28068bc · outbound

This paper cites Autodse: Enabling software programmers to design efficient fpga accelerators,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Autodse: Enabling software programmers to design efficient fpga accelerators,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.409161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.594655Z digest=sha256:ae9061e97166b3a81fa2e5928e7efdfa359a34b0198d781ee47be8c0840060a4

Observation 159479a6-7eb1-4453-8cfe-dd035967fec0 · outbound

This paper cites an unresolved cited work.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:31:01.394274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.599770Z digest=sha256:e1c9dba01abe0fa88a1aee03b27ddffd0bcf4f96947c7582411f7553af26698c

Observation a4cd23b8-8757-4de2-8ac0-2e0d9c9567ce · outbound

This paper cites Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.604728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.604728Z digest=sha256:ea62cc012b52cbdc94a6188c52475706c09c17dece607a4653d4d9173da7fd5c

Observation 3f1a4fe0-a4b3-4ebf-a038-785f8326e3e9 · outbound

This paper cites Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.609981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.609981Z digest=sha256:c92f100d574321214506b14b27de6b1f266b58666adf8daba56f949374c344ce

Observation 8e7a7596-27ef-4b05-b8a1-7a4acc857e74 · outbound

This paper cites Chipgpt: How far are we from natural language hardware design,.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Chipgpt: How far are we from natural language hardware design,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.615864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.615864Z digest=sha256:02a5e61f6eea4745a823490c8a034745bc796835598b6038d70c86f1395c49d9

Observation 3410bccd-51a3-40cd-af65-aa5f632687bd · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Efficient Streaming Language Models with Attention Sinks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.621489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.621489Z digest=sha256:c368637f9d473bc72fda6d89fb04cc9aad027d800a36f11631b882f47cbdc202

Observation fa7a095f-75cf-4e6f-8ed9-6d5a035d9df4 · outbound

This paper cites DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.627278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.627278Z digest=sha256:cbc31d099e2017bae24108f965e585cf1e468a632d010ae0f7859454e0106694

Observation 6cdab1f7-5e1d-4df2-bcd0-ede9a6a58596 · outbound

This paper cites MEIC: Re-thinking RTL Debug Automation using LLMs.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems MEIC: Re-thinking RTL Debug Automation using LLMs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.632550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.632550Z digest=sha256:3140d0475282c4285a330e63d16f8afaa54f157316fdec0e79c5f36a6f5361c2

Observation 84c548e7-c4b0-4139-86f6-13c22bd05be9 · outbound

This paper cites [Online].

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems [Online]

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.379720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.637347Z digest=sha256:f50e46f82943fb0cda52896c545f91c94744a99cdf37f6a167e2f4e547b06627

Observation 0bb417cc-ff3c-46df-afb8-62b64ceb1125 · outbound

This paper cites Advanced encryption standard (aes),.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Advanced encryption standard (aes),

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.641589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.641589Z digest=sha256:0e1443b467efcf1ea14787dc1420d67a4708d84787fbde0df4d8a4e6230b7b24

Observation 85ef0baf-c1a3-438c-b28c-af832d0184e1 · outbound

This paper cites Digital signature standard (dss),.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Digital signature standard (dss),

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:01.365081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.646084Z digest=sha256:2c7217d784d1d8feb7ba6bf3f2bdf9ddc45e594bd289039323698a8cf0885478

Observation acc89014-ba45-4064-9594-36773c812c57 · outbound

This paper cites The keyed-hash message authentication code (hmac),.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems The keyed-hash message authentication code (hmac),

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.655507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.655507Z digest=sha256:cc66218c1c48ce984462b5983e276546d1b0abc5819144558ae634896431dfcf

Observation 3df4464a-52a1-490c-b74e-76b26f34921d · outbound

This paper cites an unresolved cited work.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:31:01.349224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.660814Z digest=sha256:b9a88ab57363e7188f0ef0df1aecdd584a883b2c4752b4aa5696b0175e111f56

Observation 77a6934d-8859-46d9-9cbd-544f4b3130ba · outbound

This paper cites AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs

Reference 2020

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:31:01.110371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:31:00.501696Z digest=sha256:58036e5300810ddc3166f33d9196083f8fddf8ebbddaafc57b24be8f6786e79f

Observation 247b5341-5b2c-4e97-9e94-65e2c34f800e · outbound

This paper cites Available: https://doi.org/10.6028/NIST.FIPS.186-5.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Available: https://doi.org/10.6028/NIST.FIPS.186-5

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.651010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.651010Z digest=sha256:cbe25ddc341bf4cfcf4a2c5328aa90fb24b30e668619f24233094ada805587a6

Pith citing papers

Observation 2814be19-9faf-476c-9b7a-b3823715978e · inbound

RTLScout: Joint Agentic Code and Synthesis Optimization for Efficient Digital Circuits cites this paper.

RTLScout: Joint Agentic Code and Synthesis Optimization for Efficient Digital Circuits Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-06-28T04:01:36.782943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T03:58:14.042598Z digest=sha256:76bec041f7ed6b4a5f4dde521fde3baee96f90306907858c99d6cd38bd0e6913

Observation 20ce80e6-d589-4d9e-8de4-6f6072df6ec1 · inbound

SwiftCTS: Fast Cross-Design Prediction and Pareto Optimization of Clock Tree Metrics via Few-Shot Calibration cites this paper.

SwiftCTS: Fast Cross-Design Prediction and Pareto Optimization of Clock Tree Metrics via Few-Shot Calibration Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:17:37.554414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T14:01:20.999336Z digest=sha256:e661bcdeb0cdc4c8b73710c1837be53e56aa0441eaa91331452a6f3f659c6b40