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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 20 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 2026-08-19T06:32:44.657259+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:f4e862f9e5dd2251449750b6bafc052ec447ff0941713d3fcf6b92209c3b8416

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:18:56.514763Z digest=sha256:dbf68b991eb23423f4ae934e4798c69bef411f690bec8b867583ecacfaf6a667

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=sha256:544796e1eeea3ac4599f19347a3bfe12ec3efde7cbb4997373976061aa719fb7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:18:57.287008Z digest=sha256:42a929c6dbaea76be1209996e3e7b20c65d3083329bbde114087effeafc2000b

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:b2ac00782360a0f51febe9a1d4f845dd93e40e40c4a1abff41b983b8dbc8f361

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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:18:58.121201Z digest=sha256:1e9e84f76275bbaf74d711c4273e84eda8b26f9245b4d8208d33679db3ec0826

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:a4e94e6bca351a6ebb409e88f5dd43e1a78cd5e5fb7cc3030ba4d081e44d1a7a

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:fe7088313865ff11b56533b64d40e82742dec2c86a8611c7fd1f95d12c690bc1

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=sha256:85ded43b4865743748857e7a2a09301df244e5916f87f1bda077af1c9ce2b20e

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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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:18:59.244092Z digest=sha256:9efa55ed91d7ac95eabb0a9d554a7a139436bd70673300d44027c7df3a5935c6

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

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:18:59.588468Z digest=sha256:1d85610661d173977b5b4f35e9790dbc31f1d44df83e5f37f722fa39ad51d3ec

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:00.033141Z digest=sha256:3b3dafbd43b20c549b3871380d3da5b7910026eef994b08a6f8d8e62de98fe6b

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:ffdb465a2238606196c0d45004e0ac6ae4d83a2c15542d1aa510ecbe304acdf1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:00.492100Z digest=sha256:4b0d089503dd0c1651946ede455ecb4fb55df9f12f8fa3015eccec84fa65e736

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:01.625577Z digest=sha256:fda0ee9f1463cc6ac3fab0130e195f06ad06f2d5d837292a1c95274e2a239389

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:02.072693Z digest=sha256:41848d656c0f1a07c970b71dd4e7df585bd2dd2c0a33e2ced8c7c5f0fa24743b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:02.275573Z digest=sha256:c4fc64f1997bfd9b6c8105bf3bcb4b8a59af8f3e234e4ef195e26ec9b5d820ef

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:02.467037Z digest=sha256:a4fbd3c07cfbc96b16b8c012ed4c470e8cc3e8bcaaa4effa457c58c11d2e9260

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:02.654550Z digest=sha256:14252ec69a5ff816cfdbe2e815fa36d19c5ed6a73664db4b5b0cd3806c03594e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:02.927095Z digest=sha256:9c6b0637673a83822e432281381e070fe0cea8cce616371f3b699edc8947e9d8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:03.076903Z digest=sha256:d6d318106779651e3227c4934bb524c3b8921a03c9c09a043a9d56fd8b79b6ea

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:03.207039Z digest=sha256:2c6d1481581aaa81f151dfc846c3455aaa59ce63ac317c35ec098d14f406e496

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:03.389048Z digest=sha256:859147a6f869cf49aa6ba0ba116652380f2c31c718bd1cf424f6390c3aa76139

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:03.567124Z digest=sha256:5fbe6c5e93e4343d2f6b62bf0e3efbbff0196ccbb0788f6e4cfbfb6a57b1fcdc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:03.751026Z digest=sha256:d3039065ba7ded277e9d8e8367542a8e6978538e48b3a95f3295fc0d38c68443

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:03.926613Z digest=sha256:458b5a2ee30aa7cf42e3dd2120e8733f831a371225ae2e7ec73753d9090d8532

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:04.082738Z digest=sha256:a1f874bcb801b1dc78fd4d16251d76e111633421ad8c988afbf484a1d621450f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:04.294628Z digest=sha256:ae271245ab998ca59e550a464500ccc146596648162da620aad58b6748591bca

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:04.444025Z digest=sha256:04a1b40326f773661681f36c6e5ba90e8d09b14ff220cee8ae2aab241448703f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:04.572501Z digest=sha256:45bef2b04ee19b704e9f68c14145b3b22acd66b23265b63ccaaad1d63575edd9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:04.727028Z digest=sha256:4f7faf3e19c67ac119d3e7c577ae9a8f82f6796cbd846d5da135bebd16957d6e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:04.870525Z digest=sha256:3761422b2efca7d3caacc3a914d17d1dc284d9acb2a31715828da16ba28564d3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:19:04.998158Z digest=sha256:2b52b39064ab345ed8c139ad6ab6f2454952eda14f9634063d035fa897192de4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T23:06:44.339563Z digest=sha256:435c422872ddd5d0187f207038112d0384d36fd247830a02507e2508766b9d0b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T15:02:42.299863Z digest=sha256:dcb819df30f7d2526c9712f2b7029213d93a77686622aa43ff0a1bdc204a7e9a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T01:49:07.838897Z digest=sha256:9ca1f13b99ebb52be65095ecfb80cab9c37da6ed75124b7ab8a8eacb7287e18c

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