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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 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 6 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 59 of 59 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:31:00.525028Z

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:d312b3f778e52067220fefa77837a99cda3ae2fd5fb90d0f260068965edcb682

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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raw_fallback, observed 2026-08-07T10:19:11.178621Z

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=2026-08-07T10:18:56.514763Z digest=sha256:bfe2ba574188294f02162b101326d3e799802d6a10137fc05a140cdd83059319

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=sha256:18ee0121e6b85f03bc6780ac83a4bfe9e1b4d79f854b8a21e85c859561cc173b

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=sha256:5dab9b36f06c5d1cdbed857e65c3b1b89888861360aec22cf5a14511f2b73f52

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=sha256:777f588da388c3359bb395cf56e8e34f2f72a22d81b33432b93bb13dcdfaeaf2

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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raw_fallback, observed 2026-08-07T10:19:10.906887Z

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=2026-08-07T10:18:57.287008Z digest=sha256:34a835e9dc693156ad98fd448ef2e88c1ff05147f140f9f886c4cec8a4bb61b2

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=sha256:4ed03f17389e02a9bbf993405d1c09b111f0547f4dc725474a59f1716a4ff087

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:57.636945Z digest=sha256:8d5bacfb5f30b24dc9d210434aa2c10a5ac55d68eec522444d894ea2487f0586

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:57.823442Z digest=sha256:690c72d4d72add00a84092345a5fba1df0c45c897c023953adccc986ca3a915f

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=sha256:5ab26c7bf22382871229e489f833fee6f2f53757478d39932a30e19cdcce636b

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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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=2026-08-07T10:18:58.121201Z digest=sha256:0d5e1ef23f51ec282ebd208fdd6cbe2a65e82af75d1a2937702f78a9a08a438f

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=sha256:74de6d105c2a2cd00f74282c4e1b739586f3f94015fa41725b787d0e95888609

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=sha256:159fe44f469db2396ea5ce0c129c0b673ff52675ff18afcf2aa51f4eaec10e8b

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=sha256:16272826ebca7e2a068af53b1fe74e79d74b279af81c72a2b4391739d90d4513

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=sha256:153c986479fbb5a01021f3276090a9d0ddba79a9152f5e35a2021dff606e75b1

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=sha256:3a30a50a772d3bda30712b1d71a785769dfd9c886ec4c551530e04bc838917dc

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:a5dabce3bf65a37d5160be8e298e072b8a4977407a2ee507332a08ae8d3d68f9

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=sha256:86bca76a813ec222fcfe7e19d0c7d17ddb3f33276e75f68d1c9a9416c884daa9

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

source=pdf_text observed=2026-08-07T10:18:59.244092Z digest=sha256:cb7bc9a9dd688ffdd8046a6b90724d3762c5a9c68b4d7ca44dd695e1e813ff56

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:afcd8affb71dca2105ac7ed89fd15349a0a7df8ee128a6b5c0db4dd5f110b628

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

source=pdf_text observed=2026-08-07T10:18:59.588468Z digest=sha256:6cf0d85f3285b946c827810072f8d3ef141078d397db28bf4ec981fa7d7df48f

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:d441df5fb7d17e08a53b4071f2784df5491b67def334b279a7935043f5de766a

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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raw_fallback, observed 2026-08-07T10:19:09.974289Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:19:00.033141Z digest=sha256:7c7bf9f7738cca5ac333fcca1f562f79be3ed51213aa13dc4e993c371cace7de

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=sha256:94bd18e28d9a90880e88bfa3d214d91eb45bbadf0a268914cf1deba7fe0b6208

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=sha256:2c189f505eb8701fce8e8971c5eeb41a0cffe70d3707cbc8fa856c6e24f90421

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

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=2026-08-07T10:19:00.492100Z digest=sha256:b3d971d14c4d5ea834ca9a0a7a8ce8cd5affd70940ecd6f830446d350c0bf03c

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=sha256:5520de94512dbe93e5ca6fa3de386ff8463ac0bfe3e5eeaeb7d9e9d3f27e47cc

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=sha256:0f00895ceecad8573313eefd46501aa2e51e086614a6bbdb449e11af536c90c4

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=sha256:5863ffa4e8cb6f2db91641e726e5f38dd4356484f1f1dbe02aa5ffe07a0f2ff2

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:e670105359d92e61b81b9181ce47620a1b883df88c2e965c38465649d699309b

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:ce33109277cb3dabba139ec27cb6342f7165d9c1d424af64053ebe8da2c6a828

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:f1cf260b692ff4fba2cf32afed96241ad2f3b282cbb6952a0bff05351549ec8a

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

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=2026-08-07T10:19:01.625577Z digest=sha256:f377ea0aefcad224d5fc498d4e3dcd7f6de3a636d1ac53621e6833a2632f4a9b

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=sha256:88254dbb1b8a480a71445601abb0b6e359d0742fd8559da5f75a47b7b0999642

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:01.930888Z digest=sha256:737aa6d05c575893c03261369e2b550f94d1162d7dbd848579db3b4a8b9e93e2

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

source=pdf_text observed=2026-08-07T10:19:02.072693Z digest=sha256:e72329b6f1a40c618db9462bf26006abb57d94aba5b1d14bdfee06d8362cb2b9

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

source=pdf_text observed=2026-08-07T10:19:02.275573Z digest=sha256:6a093b6b9af5da333e37a4c8df11da9435407bf2d9c589847bade8d358443f2e

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

source=pdf_text observed=2026-08-07T10:19:02.467037Z digest=sha256:846ff9d0900a290472a70f051edf4006276af9077aa3f12044bc9d0c8b6a89c1

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

source=pdf_text observed=2026-08-07T10:19:02.654550Z digest=sha256:08eaf2695194060773363d8f5c6acc0cdbac5921619c422b32fae3ed1e7f50cc

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

source=pdf_text observed=2026-08-07T10:19:02.927095Z digest=sha256:43b5f614984650d0bc0f78759ccc3a0d09d2fa95f54f1c6a04a17d912968342c

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

source=pdf_text observed=2026-08-07T10:19:03.076903Z digest=sha256:522a1c7226485cd3e29cf84673ff5ee0ffb8d1d04eb100b7e03dcc9485da8136

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

source=pdf_text observed=2026-08-07T10:19:03.207039Z digest=sha256:ecc1072f42c3536f819a3bb58ce11983a75f1ab36249c9ac4a5f413df1e17383

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

source=pdf_text observed=2026-08-07T10:19:03.389048Z digest=sha256:6fa7fa6494da97fa4ad8d16a6d32a0616a85f15a522537cd1d0822a640203181

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

source=pdf_text observed=2026-08-07T10:19:03.567124Z digest=sha256:c23ed85871fcb104088dc01cfc04fccb4ca1fe9d173ccbf79b8df156cc6c262e

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

source=pdf_text observed=2026-08-07T10:19:03.751026Z digest=sha256:fafe2b946fe2a5d26796d78a08ac918d6ada2bf04a32839ba33105ef09c47bd7

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

source=pdf_text observed=2026-08-07T10:19:03.926613Z digest=sha256:4eeb9ae91336b1b7ec6751d0036a1203282945c418df36e3370c24922da3bb93

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

source=pdf_text observed=2026-08-07T10:19:04.082738Z digest=sha256:5f2e27eb7fda0ed881aae1a73ca24122a95f912738bfebdd790accf783c17d29

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

source=pdf_text observed=2026-08-07T10:19:04.294628Z digest=sha256:3329c353be6c12502d57b5ba5f9d0a4ca6647c96e43469235765b481dd7b5687

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

source=pdf_text observed=2026-08-07T10:19:04.444025Z digest=sha256:f739881296aa133fe8dec62d7974cadcc22a3dbad82f3b83ea3e61067b18331b

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

source=pdf_text observed=2026-08-07T10:19:04.572501Z digest=sha256:1b1f4d2453a5a1c2a08dd17925a89162237f847c0d302162f8dcb92cc347e3eb

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

source=pdf_text observed=2026-08-07T10:19:04.727028Z digest=sha256:f2a6cbbb39f99f9c16807ab931d1508bedcaac23cd9ad28f3207f24b0baf94ad

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

source=pdf_text observed=2026-08-07T10:19:04.870525Z digest=sha256:1e34bbaf2a83b26736185390207bf697c0b1a7e02043895dc982405160c86b57

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

source=pdf_text observed=2026-08-07T10:19:04.998158Z digest=sha256:7381ab454a0e69d095a081439a6da9b80ea6f157bc98409dc0a2ab87e547a1a0

Pith citing papers

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:cfad3d2f42bfa82e0ee64d5ad6616bf7946f5389498f5c1261682747c4136e5c

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

source=pdf_text observed=2026-06-27T23:06:44.339563Z digest=sha256:5fd554a0845008497c3e2bc0c8805200fab9334356e4f0b65ee05d73f5f27e6f

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

source=pdf_text observed=2026-06-27T15:02:42.299863Z digest=sha256:fad796b45cc1f03357022f560521fd358c78f13eb465b7675a2ec816ab51cda8

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

source=pdf_text observed=2026-06-29T01:49:07.838897Z digest=sha256:3f7edb6b971249bff898543068db2b93e3316a08279f54aeef6373ca35ab3d1f

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:ed9538d4ec7aa5637426114ae6fb4183d089c2b489c3bf59761b581842af9838

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=sha256:9a9bf4c6bbb2b0c9424d43ca5145662b8b3bf4aae1fe993b4d8e59e82122152b