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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.437580Z digest=sha256:7b0dbb0e04a8d125edd7aedfc0ed16eae5aeda1b013232145e43f7b08c8a1f45

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.442616Z digest=sha256:1d1faa09a821f5b06a1f47e39cb906b41abc809b8c1cc9da9b37f81647d05319

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.447366Z digest=sha256:bc9ee3148273cd37912f15c81ed2825f335e7da3759b85d1ab9eaf476c9981d4

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=sha256:0c0fd0740e52a49832b1fbba7998ddbbe7cf555fa98f642d33b1b1eaab732ccc

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:b37e1744cbb8446ae078069dddac50ce7974668ce441739243513ec81352e366

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:ed5163dcca68800adaf5fa7b4ddb8f89cb947cc646f0ab133a28f70c544cc24e

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:c792dbc287821d0722ab5437e6ab045b8a7ccc272874ff7f8bdad332e00859cd

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=sha256:985b28c1c5d181a9c45ab810f862877e809b59a75254117e0bae7685b39fa08d

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:d8d66708c62915a052d190f1dbdafeb8c4e10fd8f419e23f9495ab2d6dbad1f5

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=sha256:165b241bbaddbc935afacc85ad9e95b2b1e4d0b9cbc609ff6989c2e90f406724

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:a4003664460ac75534f8e83e8921af67ae55ec5f78fd8b5d06188d11a79f1b90

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.506779Z digest=sha256:8d1a9cb6f4d605d89836c69a7b09f15622f360bc58bda6a7651b933d80ccc650

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.511079Z digest=sha256:42a617a2a94f2becf69e2115a0d198a183bee4e1fcf11bbb0c9097487c2d07d1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.515356Z digest=sha256:a195bde1015bddcbb1a0dd1d310465cf201555caaf4281ef370a286f75d94d0b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.520078Z digest=sha256:18c5f85c2efdf385a3dc7e5d01727cf80e227e13a1b5bf6b53b75c4453d90050

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=sha256:825c5f2ad90c462dd8bcbfc44e3590162285e4dae5d283e02905144adf7a3759

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.529896Z digest=sha256:33311aea8553eb19fe211268c79f0707da37814bfad8129f16395a7a38e8b2de

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=sha256:3e71bd0418df14fafe48cc09995fb3ede90d4407ca2c5c6e142e7dd829c808bc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.539798Z digest=sha256:35c24593b0859c89fa282433df53fcd8c29d02bc920f77bb347970ddff788ef4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.545124Z digest=sha256:c3555304002b559b23900e647219af650addb2992b043f13346034eb21ac325f

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=sha256:9b54b3b356e501c7572cd604a6b298769103938703a67b172a726a24cbef2761

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=sha256:5fe986db41e9ea08b151b808da95ab0ed4dda7df57585831b52c4b12ccc4397c

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:f0b882b95f4b5eaf7599ce3b04926873c6ed1e2fb3376a5881dd1597ee638349

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=sha256:842297643fe0b8a5db82b7164745125910b3f85763737a8dd21102eb8e2935e3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.569270Z digest=sha256:08d023e8b83a76cf5b7d64e40ed5fba59886fe52c13270da1ecce59198541006

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:f7e011807459a5e545d83e3396bc582bc767df10ec8a5206d2b832144903c330

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=sha256:539e233c0ee438ea7f9006f9e495f735a60b4bbd26bb9489eefbac8dc31ab979

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=sha256:71930fb01f5e5971aa0c0a0b0f8d379b5bc7afc9914bccdddaf077f14061fbd2

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=sha256:96bb1ce430f7c3d4d73e2720dd7045a54a267480126dc1222c7fca2539d83d12

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.594655Z digest=sha256:a7ad8a5253912421d668f80e5a87736b2a97882911bd196adc6baa00745e8900

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.599770Z digest=sha256:1a1b2a8c417c43fa6f914c05aa74a449d243397741742bbc7e3097e4d1efdd60

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=sha256:3eda28069dede2e4b9ccb397278393553f1260cd1f3229b2b51831e89b43b95b

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=sha256:8a9907a0d7dbbdd19955e6c12238556d88677e997e32a8cc3469ed0648628b91

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=sha256:117d0faf77500d54a97298d2a45ba0ce7131a2920def4d9a11661d450149cc87

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=sha256:0ef5b951451232708ed798b85fe6c64688eba460d14e4c318674ecd200d15565

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:c94916573ec2518da8fd2e7074779615211bd216a7dc34d7cbca693af85c73df

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:da346c04ff38423f845de89cf62a957b5895133bcda4d52e1e0ed35d351ebf14

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.637347Z digest=sha256:5b0fb50c94c67a2f40e89a64d58af2fec3275d6ae2405e0dfa748b71c55bbbfc

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:cd2de4ad44dbb5df6e39fcf239f6928cf3bc5f095da67562559c456b41190985

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.646084Z digest=sha256:fde2393470d9c6882090642d10cb25a6cfb7ff60a138a5a3321c0a86183fcb0d

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=sha256:8beb1c6fd8ca18a81e61b714fe908ebaf7fb57e82fdd6ffb257f28007273650d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.660814Z digest=sha256:e9ed697dfb28259a6cb4ff2409548573baa0f348ba72798b9d6bf60a392b60ce

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:31:00.501696Z digest=sha256:d738cd3ba20374fa47e1aeb47c5e9b0b6ae94a7ebf84b869533a1d925f45fd6a

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=sha256:161aa881da165ddfaac47b3e5ab64ec276d7ceb9289234c4ba60badb170794ac

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T03:58:14.042598Z digest=sha256:d2c68942519342598b810c49870a68cf342351da1451405e18d19a676f6cc5d7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T14:01:20.999336Z digest=sha256:c2bc3dcf1fc4a546bbebdb383592940ba3b1d34af3bc37528c4d6d59618e188c