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Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 7 inbound Pith citation observations for arXiv:2506.05566.

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

pith.paper-citation-record.v1
2506.05566 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:04.998158Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:25:20.244416Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:37:35.793348Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 200f87cc-c7c2-4b8c-9308-4dee56a96727 · outbound

This paper cites Nemotron-4 340B Technical Report.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Nemotron-4 340B Technical Report

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:56.338439Z digest=sha256:f232a39aa21116344c2711d718d13c90620ff05888c3da41721045875a5cacb4

Observation 1bac7b13-8285-49bf-9c06-28a084cd7d80 · outbound

This paper cites Claude (oct 8 version).

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Claude (oct 8 version)

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:18:56.514763Z digest=sha256:9512a0bac4744a2db6ae0913a80d0d6cfd0bdd1eded9873a4bec8ef94aacb2ca

Observation 35bab5f3-5fee-4ed1-a5b1-347f9ee91420 · outbound

This paper cites Program Synthesis with Large Language Models.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Program Synthesis with Large Language Models

Reference 3

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source=pdf_text observed=2026-08-07T10:18:56.793669Z digest=sha256:1a8c592cc5b171021153945b0cf37b26036bb0014774214b7433da9d482c7e7d

Observation e11427ce-62d7-4ca5-a136-0167e4488846 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Evaluating Large Language Models Trained on Code

Reference 4

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source=pdf_text observed=2026-08-07T10:18:56.993157Z digest=sha256:05df489a202e18889dc2559ec38c5ba837d15cc8e3a2857ef15975ea07a92159

Observation 9c57d182-b096-40a0-8b22-d1832d60ca7b · outbound

This paper cites REPLUG: Retrieval-Augmented Black-Box Language Models.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 5

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source=pdf_text observed=2026-08-07T10:18:57.148297Z digest=sha256:8d8768fa1cc954304c78798bd781cdd3ff8b50158bfe652c07ee1f2c9076b3be

Observation da9fa859-daa5-4edc-8391-0c071acebd9b · outbound

This paper cites Origen: Enhancing rtl code generation with code-to-code augmentation and self-reflection.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Origen: Enhancing rtl code generation with code-to-code augmentation and self-reflection

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:18:57.287008Z digest=sha256:674f0de412d25c8d340d0243180fca0f311f1514a73ed102110ad9d8926b5de0

Observation 2e21133f-de9e-4342-a340-1738f3805185 · outbound

This paper cites Competitive Programming with Large Reasoning Models.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Competitive Programming with Large Reasoning Models

Reference 7

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source=pdf_text observed=2026-08-07T10:18:57.485714Z digest=sha256:aee7165ecaa6b971a8d7bc4366853f71c0a06653288b08f960e19fca33ff965d

Observation c10134bc-bef6-480f-a17c-ac3eb8cb041a · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Gemini: A Family of Highly Capable Multimodal Models

Reference 8

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source=pdf_text observed=2026-08-07T10:18:57.636945Z digest=sha256:bb7df3c54ee18dbcaf730cf62a670329a534953e34bdf9ae3d22c0f33c5354b5

Observation 73294458-a928-4dfe-aa4e-f54ec1dc357d · outbound

This paper cites The Llama 3 Herd of Models.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation The Llama 3 Herd of Models

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:57.823442Z digest=sha256:fef672ae8190c817c63dee38315cbfe3d3e0d85871a0a363772113015966465d

Observation 51f1b803-696b-4087-94d3-f3b7d800aa4c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

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source=pdf_text observed=2026-08-07T10:18:57.995006Z digest=sha256:9cf6cf058c037fc65fa0a8f4eb756f728b1a54bad0c0d3d4dc3cd62d9d171457

Observation 5f9fb1d1-7e92-42b8-afe1-321d42aa8edd · outbound

This paper cites Verilogcoder: Autonomous verilog coding agents with graph-based planning and abstract syntax tree (ast)-based waveform tracing tool.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Verilogcoder: Autonomous verilog coding agents with graph-based planning and abstract syntax tree (ast)-based waveform tracing tool

Reference 11

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:18:58.121201Z digest=sha256:9f7692b0331726e5489dc9ced7556f08819c20e41b8c88e87c4e9350c8425003

Observation b97d11db-22cf-4e67-afcf-7bddecc56fef · outbound

This paper cites Training Compute-Optimal Large Language Models.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Training Compute-Optimal Large Language Models

Reference 12

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source=pdf_text observed=2026-08-07T10:18:58.298950Z digest=sha256:633d4a8f463e93bae2eca10e22d00d38a71875bd8009dfbed475305d8a1f99ed

Observation 3b6804c9-9e4b-4482-ba9a-ef7a97f30215 · outbound

This paper cites Qwen2.5-Coder Technical Report.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Qwen2.5-Coder Technical Report

Reference 13

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source=pdf_text observed=2026-08-07T10:18:58.442329Z digest=sha256:3bcac8e06bc6b453068e2fc42e206cf35f5a4e2a9f9396dff6912e16c17d583c

Observation effe6982-bee5-45e4-87ab-783df2cad06e · outbound

This paper cites GPT-4o System Card.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation GPT-4o System Card

Reference 14

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source=pdf_text observed=2026-08-07T10:18:58.570685Z digest=sha256:6f5e6b909f3761ac7cad1312ea4a7dae6b773737baabaa732aaefca357653589

Observation 929919e4-02d1-4985-bb63-5e21a4b05b34 · outbound

This paper cites Scaling Laws for Neural Language Models.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Scaling Laws for Neural Language Models

Reference 15

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source=pdf_text observed=2026-08-07T10:18:58.707015Z digest=sha256:75dd366652b36209c9280dbf10772d723dfbd7ec4c00141de6e7f12ecc6216f1

Observation f1fcdd84-5312-4afb-8315-7520f2c4d706 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Large Language Models are Zero-Shot Reasoners

Reference 16

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source=pdf_text observed=2026-08-07T10:18:58.865036Z digest=sha256:f42f8aa8ffa250b003f7c9f5f174b80dc2c39d322d642ec152de3ee792d78adf

Observation bd125714-1912-4bad-97dc-d4b7e6f6707f · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Efficient memory management for large language model serving with pagedattention

Reference 17

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source=pdf_text observed=2026-08-07T10:18:59.062833Z digest=sha256:aaf563ca79edb5718a925bbf6086de66b0274d8412b82a0e0b2e279a63891435

Observation 013f40b3-c033-419e-b65d-a3e2733194da · outbound

This paper cites S*: Test Time Scaling for Code Generation.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation S*: Test Time Scaling for Code Generation

Reference 18

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source=pdf_text observed=2026-08-07T10:18:59.138334Z digest=sha256:15e33d9bdbbd5c8667ac3caa90f9c81e00d2280694d9e2e7145507485995c847

Observation 6abc88ac-b0a4-4e35-a369-ad7127b1d423 · outbound

This paper cites Verilogeval: Evaluating large language models for verilog code generation.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Verilogeval: Evaluating large language models for verilog code generation

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:18:59.244092Z digest=sha256:735d87ee700b86488ffbae19ae9e2f13383b82e11f7c291b8490cfa5a28916a5

Observation ae946843-c748-4368-8668-7a43df3ceda5 · 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.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair

Reference 20

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source=pdf_text observed=2026-08-07T10:18:59.351726Z digest=sha256:2bbc7654525bc229c80667f0bb516d16e603d6a9046051d50585f62fb1745b89

Observation 64356431-e245-4fde-b30c-e086e908e01d · outbound

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

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Rtlcoder: Fully open-source and efficient llm-assisted rtl code generation technique

Reference 21

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raw_fallback, observed 2026-08-07T10:19:10.186835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:18:59.588468Z digest=sha256:1656018c8486b408087d665fcccc68f59015133d709ba28373186d36fecc6434

Observation 7d05f20e-b875-4654-a3cb-3d3e565dfab5 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation StarCoder 2 and The Stack v2: The Next Generation

Reference 22

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source=pdf_text observed=2026-08-07T10:18:59.814283Z digest=sha256:f1deeb146da9ee9f0fce532dbbe53d4ef656711aac58a4627ab35a01fe80addf

Observation 3b468d12-d922-4a8e-8312-52e8b8f9686c · outbound

This paper cites Rtllm: An open-source benchmark for design rtl generation with large language model.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Rtllm: An open-source benchmark for design rtl generation with large language model

Reference 23

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:00.033141Z digest=sha256:e3f1839dd5e4b77c3b0f497d3d5dfd253a01e7c3b101d5f5811f34cb416a2490

Observation 7cf9fb04-820d-46e4-a53a-fd4c4ed2491f · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Self-Refine: Iterative Refinement with Self-Feedback

Reference 24

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source=pdf_text observed=2026-08-07T10:19:00.175157Z digest=sha256:60826b2502c2a93b88ee031af172590497727621f6c0e6f40935f9f0d0df84af

Observation 4b4951ca-5df6-4def-bad0-6f5a77a09e52 · outbound

This paper cites s1: Simple test-time scaling.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation s1: Simple test-time scaling

Reference 25

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source=pdf_text observed=2026-08-07T10:19:00.321791Z digest=sha256:432c1d32d5221af50e677130f561dab525f5ef94720bd9cba6e31c455974633c

Observation dbc8a275-2870-4aa1-99f3-97f701307836 · outbound

This paper cites Gpt-3.5 models.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Gpt-3.5 models

Reference 26

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raw_fallback, observed 2026-08-07T10:19:09.752108Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:00.492100Z digest=sha256:5454664584583743c706e3072713003092e95f55ecbdef32ec3def26566176b5

Observation 594a4331-9d66-4295-a72f-489abba25a20 · outbound

This paper cites GPT-4 Technical Report.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation GPT-4 Technical Report

Reference 27

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source=pdf_text observed=2026-08-07T10:19:00.649463Z digest=sha256:04fd7c5694756ddad84cbef23dd907ae6214811bf98b0a4c6289d96563c4d213

Observation 46619f58-befa-47df-8bf0-42e566178bfb · outbound

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

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation BetterV: Controlled Verilog Generation with Discriminative Guidance

Reference 28

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source=pdf_text observed=2026-08-07T10:19:00.756053Z digest=sha256:4c28d1724654912c714e36110bd557de45fad4d4bcab492d104f3514e9908f58

Observation 97fe1ceb-f769-4b49-8555-ebf45d34707d · outbound

This paper cites Code Llama: Open Foundation Models for Code.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Code Llama: Open Foundation Models for Code

Reference 29

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source=pdf_text observed=2026-08-07T10:19:00.878974Z digest=sha256:de0ba1f0fcc4b1c7d41cc393e01564ad0c4a5c6d1a02c1c211fe831e328aa2f3

Observation c82ae771-28fb-4cad-909e-2798a63c63c5 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 30

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source=pdf_text observed=2026-08-07T10:19:01.015038Z digest=sha256:54ea585dbd20897b8653bd56696d69b9c83d2a61e44b228bf80e759c7f3a7310

Observation d4649ebf-4125-4746-9cc0-08b07efc5a65 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 31

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source=pdf_text observed=2026-08-07T10:19:01.197473Z digest=sha256:9e6273f1798dee65253f1920389385f76029185e1d6a626e0cb77d813fce513f

Observation 7d553c97-edc5-4c31-be44-01aa18b4d3da · outbound

This paper cites Magicoder: Empowering Code Generation with OSS-Instruct.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Magicoder: Empowering Code Generation with OSS-Instruct

Reference 32

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source=pdf_text observed=2026-08-07T10:19:01.376438Z digest=sha256:5dd183032890862bac836ed7a8d3af08b808ed9b732d171f886e6578ba4f3305

Observation ef8f7826-8e2a-4d0b-b299-6704f952b9a4 · outbound

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

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Mg-verilog: Multi-grained dataset towards enhanced llm-assisted verilog generation

Reference 33

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raw_fallback, observed 2026-08-07T10:19:09.563912Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:01.625577Z digest=sha256:704f3cadcf81a8d3b250419635fe99ea2d1d8bf71ebfbb64dc98d89f4ca6f459

Observation 9344ee08-656b-4539-badc-d0506c4ad5ec · outbound

This paper cites CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 34

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source=pdf_text observed=2026-08-07T10:19:01.791486Z digest=sha256:f7ebec42ed9ff8971a03b37e235bbb989559691f2e71253d9514416029f62c02

Observation efcfeecc-5bae-4786-84f6-0dacf2ebd3a3 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:01.930888Z digest=sha256:e54018d44d12003d889fc8795790146d36b2fab5ff9959499fb9b3c6f1bbf9c5

Observation 5fff743a-2e5b-4000-ae1b-13e15a1d031c · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:09.362605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:02.072693Z digest=sha256:94af805f7744a34de40e01ff5c5c5871840a042228276df839806425710d214f

Observation 8ee5bf07-b355-41de-942c-8a80d2e621dd · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:09.146654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:02.275573Z digest=sha256:9ac5b791d41d170d7f39eea2cc41bcf701101ad1ef490fd020d8eae7d006c1d5

Observation 6e2b4932-2c6a-47fd-aae4-af9deed5057b · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:08.923657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:02.467037Z digest=sha256:bd35b4489f2d9c533d6e8d849a55ea118b31cc60d65d59a5643e472dde77b3c9

Observation c97b5402-7b27-4f72-b46e-95d05dca0e91 · outbound

This paper cites Here is an example: • Guidelines for the problem description format: The problem description section should be enclosed within <PROBLEM> </PROBLEM> tags.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Here is an example: • Guidelines for the problem description format: The problem description section should be enclosed within <PROBLEM> </PROBLEM> tags

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:08.679601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:02.654550Z digest=sha256:52a330efcda94041b00eb8967c9bee4164303435fc756a50071410534c07c1a2

Observation 782021bb-02eb-4c91-a8e9-f6b997d36832 · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:08.464818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:02.927095Z digest=sha256:492bac4bb085691fcd338fac0b6e4cc9f71b4c52003df29c5e50e245d7802838

Observation 4947ba01-9c36-4f39-8f2a-4be2993ce3bd · outbound

This paper cites If you do have a reset method that is synchronous to a clock, make sure to add the clock signal to the problem module input.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation If you do have a reset method that is synchronous to a clock, make sure to add the clock signal to the problem module input

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:08.276633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:03.076903Z digest=sha256:485da9979af07f4aff6c29b6446afe710cde5474eb3efdc8b60fb001e3ee7ddb

Observation 4c66df16-ff35-49f6-8b68-163c200959ca · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:08.038364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:03.207039Z digest=sha256:661c3caa2682850415b1f82759e86a053395d6d80ca3791a8a9c3b06ac985a33

Observation c184106a-222e-4bc9-8bc7-4150744384dc · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:07.837287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:03.389048Z digest=sha256:493518eb43ed0110a2f0c9da7e62a977b060ed00fb869fcec5ad78e5d23d325f

Observation 58c2a5ed-779e-4e50-bbda-a7ab1559f6cd · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:07.618960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:03.567124Z digest=sha256:ce550fbc567077e81499117667f25090a33cb4f7eefde5acc6523e675103fd3a

Observation a4e72cce-7b1f-4c24-8114-146996b6d9aa · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:07.429594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:03.751026Z digest=sha256:1de2d0ee03996d18229684f47adcdf740ad1b868287a1312161f37440cca9ffd

Observation 3e0ca757-988b-4873-8568-2fcab3f7e8be · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:07.196455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:03.926613Z digest=sha256:e94a9092779ac04a46ff46f088dce40d623b183859cf916729ca7cbdb813521c

Observation 1291ff5d-53ae-4337-a906-3c594c00fd52 · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:07.027119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:04.082738Z digest=sha256:0b669cac026e7315c59783e8607d36ae0c41c09443bc2f97f5b4702fa06fc52c

Observation e0915c80-b274-44c8-ae6d-0f3662a4c94c · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:06.827543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:04.294628Z digest=sha256:2d373bd2dce715367644fa0f976fea5ee069924ad2dcbba267e223204a440c72

Observation 62205528-d15f-4689-a4b0-873280a92154 · outbound

This paper cites • Below shows an example: Problem description: Build a counter that counts from 0 to 999, inclusive, with a period of 1000 cycles.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation • Below shows an example: Problem description: Build a counter that counts from 0 to 999, inclusive, with a period of 1000 cycles

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:06.625079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:04.444025Z digest=sha256:58de98cbacd19a01751121f0100c1558f478d06fdd7aa35922f7298bca286920

Observation a13d2621-4311-4c5d-b352-2b0c930f959d · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:06.438541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:04.572501Z digest=sha256:9ec682399a57f05f956471a7056825b79b7fae0d36ea71e448b5b3613c25c4ba

Observation ab85396e-5789-43cd-ad82-43f5b3b7a068 · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:06.209755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:04.727028Z digest=sha256:a8da365f58963139e3aa706ef2ccc3b1b9ab08aa1b76469c7e985122116488e1

Observation 85311b94-c921-4418-b471-43e7101cd0cf · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:06.018299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:04.870525Z digest=sha256:dd81b04ea5d91dbf714e0e63f46c742e5cb8a14d73447e910c5f3c505ba40abd

Observation 75af742b-01c9-4256-8fbe-78d3cb7ef758 · outbound

This paper cites an unresolved cited work.

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:19:05.692194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:19:04.998158Z digest=sha256:1adef9dd8fde2ed74bf28d37d4a214e0c227c6a779a1f25108885a19993fbc7b

Pith citing papers

Observation 6330ca1d-9a2d-4be3-86d4-85542c43abe7 · inbound

VeriCoder: Enhancing LLM-Based RTL Code Generation through Functional Correctness Validation cites this paper.

VeriCoder: Enhancing LLM-Based RTL Code Generation through Functional Correctness Validation ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:20.244416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:20.244416Z digest=sha256:d01e0b5bddc5a61885d6b04af726aa3517a7a668bd740f0fa1b66ab2697b873f

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

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems cites this paper.

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=sha256:7819dc1ac29bec74472bc340578ef19c08f6756c7848b6b10387d3ec0dde0ed3

Observation c8740064-f8ff-4952-915a-68fbccb8163c · inbound

CASS-RTL: Correctness-Aware Subspace Steering for RTL Generation with LLMs cites this paper.

CASS-RTL: Correctness-Aware Subspace Steering for RTL Generation with LLMs ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:57:07.375327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T23:06:44.339563Z digest=sha256:4ca433a9ead4209eba1418b8fe6740b874178bac0f369dded46a1be5acf5ee27

Observation e3a5b2d3-ecbf-4677-8490-a86ef3d33040 · inbound

LongRTL: Graph-Similarity-Guided LLM-driven Long Context RTL Optimization cites this paper.

LongRTL: Graph-Similarity-Guided LLM-driven Long Context RTL Optimization ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:37:35.794807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T15:02:42.299863Z digest=sha256:7d5934a1b55cc5d29bab36172df69718d92ed0e5fc0681208cc3256b50c11de4

Observation 3074b87c-f7ba-43d8-9c49-8bd85d3b1c07 · inbound

Agentic Hardware Design as Repository-Level Code Evolution cites this paper.

Agentic Hardware Design as Repository-Level Code Evolution ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:45:58.336486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T01:49:07.838897Z digest=sha256:a17d9430830298d23d6d48044c106fd7fd62024ca36960cad2e7aba381e6e93c

Observation 33850d85-f626-446a-932c-b76da9938d46 · inbound

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

A Progressive Approach to Synthesizable RTL Design Generation Using LLMs ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T15:14:08.913455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:14:08.913455Z digest=sha256:ae393fc2ca684eaa81ec42620cbfd8a6944a2fd47841c9ff8ea43fbc397979e8

Observation 291e250f-f2ed-451d-925c-398b3074cd1c · inbound

SCALE: Self-Supervised Constraint-Aware Layout GEneration for Local P&R DRV Fixing at Advanced Nodes cites this paper.

SCALE: Self-Supervised Constraint-Aware Layout GEneration for Local P&R DRV Fixing at Advanced Nodes ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T06:36:59.249142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:36:59.249142Z digest=sha256:185428ceb7dd5aed255aaf24e9d0ebfce1820a76a2931b23dd010bca3a676f96