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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=sha256:8274f7fd55c6d2cf9c87333215abdb017a97b50ab2553ffa4a70a73947f9512a

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=sha256:7f1c7f7389b795a23dd184ab0c1822a835df40471cb2c985ef9438e78d185906

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=sha256:1763283046b3392c89d65036020b25718cad50d34976cecbb96b9a57fb273d2e

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:ad4a570711bdc76a770dd39ea338edf80b68ebe952a9cda44991ce27b14e2c4d

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=sha256:462aaa283bb90cbe6307e5334f96c370e62865c20be49f5bab01d942f08ad217

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:cd69ac9e2af2bd172b9ad592ddb7c5e46e6a9b603b9455a2d9a9e508a122d637

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:af193c1af4e391d87da331cbc15e4fe1e7b910e2687c39091f3fb313ab628fb9

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=sha256:79a6e751326b2040974532215d83a25931bf1153bb1526a7c545efe3fbb875ad

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:ffae9bd5f528c2d6abe9d90460e210d0298a7c54cc9a8e9b5a63618a1ce90de1

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=sha256:4f7d1ccf660d5cbd18e1287ca7832795cec5af8bb4358127c45a13b558f7057d

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=sha256:0fbc3b7602f65874ca571aa1108e7e50f85b1477fca30bfe6a8af594e91c5935

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:b3f1e56a4f4b09f18e19149431fb95d68395d636bdd83b2ce5f29e557913191f

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=sha256:01a82712fb74e5686f04b5e65db93c9d992451b9b95f164307eb6f3d786e67d9

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=sha256:05f2bab116c4e426e939182554037effaeb7505e1298f25007932b53c543f05d

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=sha256:4a23ecd45e9f7e7dcc4fa392490b3cdb9510cb19890110a8a42baeac8b8e8996

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:cfad3d2f42bfa82e0ee64d5ad6616bf7946f5389498f5c1261682747c4136e5c

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=sha256:5fc63c91396c93e9cf674844e710892dbabe48f1d5436bbfad6c361e2264f17f

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=sha256:124a379f20b385aca4e02fc12e7ce7af4d8c99ea61a155cafb433ec7947caebb

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:a65e12bcdce99cf22457f627d5c7dd71a93cf838fb88495776be7d752150a2ea

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=sha256:741c79edb8a03b551b217f89f2edf8172a2e2360838628dc85b90f96787655f6

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=sha256:079105cdc73b8bfcdae46ad7a993d1fe5e55fcf7dda709bc8d19b94b405e2dc5

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=sha256:9c2026007bc0d7c9a9217d2294bb00a1fc2000c9e533744429ebfc659fc2e26e

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=sha256:37a9580057cfaf37cd327e016821488d3313317f1867f82d4df20cbc0d63d16e

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=sha256:3bc852b6b9bfd21d45cfe7bbf02e555321195c66457ee654c08dec588362d8b9

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=sha256:5772ef0f0a218afb9a40706e01420521a4b4a2f00b41ec6e7053b566b817867d

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=sha256:738356c541f8dd496e92d83d03413d0cd425881802c0643fabfdf1ff2013bb6c

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=sha256:174dba38df123640bdc1f826b07582d56bc95aa231c4ed89e6641df825cff31d

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:e84a39d8155126f2abf1c44fe426855cd886c3c6118e58e8954b5601b789014a

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:a0abdd906b1a4c5ed5bb62242c87d10cf82e1bc7d57babf784330be501906ffb

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:c7e9e079e4920cc31e0c8339dbdd0228cae878f223121a92c65fdc9ddcc9c25a

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:c9bfa1bdf1c24001f15dee3dd8de9c7847663df2a575a98fdb83edcda1f6fb68

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:a453e505c809aae66f7df4253e7894019dd3777e0a8295d2c1a690f0f20c7449

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=sha256:45d79d5cdd1833c4b77f269fb1ce3ce9f552326340d2268cc28672138ee70448

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=sha256:1ca338ee9c2dc029f2d6e932f81cae6c7acc167efbe697442efea1a456c161fe

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=sha256:1d9912864b9228e780c0b775c3e4b25df31c39111e283376fffd8340b5ecadc2

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:d033ecf44a6b928dbdf2661a34f9ceb6fdd507b407781b91009ba975c99133f7

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=sha256:44f4149ccc4494882723031184f469fceae4b972c1cf32eec487e24a2b6c6d96

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=sha256:855500442c473c1e152ffc92405a6e699aef6e0d95b85910a1a7a659b6c5e741

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=sha256:61bc8fc5ae64cbf19afd91eac836de084be3df20de86ef19627f63ce35c2fb41

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=sha256:22098a4d7ee1056dfb204bd87d5b15c3933bcac211bb037ce2221f0444aa8fca

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=sha256:9d7a929f9803ceea675a22b76c24ae8a606d8309a96c4f88069737eddd18030c

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=sha256:5db26388a4270406b68ad9167f31e90afc25545bb88779db88873b246f15f3df

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:e10d9d0f63c647237434507a393658317a9c984c9f3e60ed8eab12077f31363c

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=sha256:5e9ab23fd74ca3b5dcb68ab98505a88d067c235926d899c9f2596c0e7ea15e55

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=sha256:0b0f940d6f6906ff87e130e38d7708fb554a9cba130ad948de03e42e103b4120

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:d89ca7cb0635c4a19227934080f1703c916d44055bc7d7a8505ccd0dd12b0d65