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Paper Citation Record · LEDGER

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2504.19144.

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

pith.paper-citation-record.v1
2504.19144 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:04:29.062153Z

measured 54 of 54 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy39
  • unresolved14
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7017785a-bf48-4581-9ee9-4cab9a3b4a65 · outbound

This paper cites An agile approach to building risc-v microprocessors,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development An agile approach to building risc-v microprocessors,

Reference 1

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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.

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Observation 43849f91-fc7f-4bef-821a-717fff5263d8 · outbound

This paper cites Creating an agile hardware design flow,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Creating an agile hardware design flow,

Reference 2

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raw_fallback, observed 2026-08-16T06:04:29.926135Z

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

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Observation a89aad84-cb93-4b16-90d6-8ab96bf8fe45 · outbound

This paper cites On programming variability with large language model-based assistant,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development On programming variability with large language model-based assistant,

Reference 3

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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.

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Observation 09634e7b-9c17-453c-9298-7c0b8f0be23e · outbound

This paper cites On hardware variability and the relation to software variability,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development On hardware variability and the relation to software variability,

Reference 4

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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=2026-08-16T06:04:28.851160Z digest=sha256:264e25717c480ebb5018f6d5bd16872b3c1d6edf4a750e855fae82359d03e3e3

Observation dd1c714c-09cd-45ca-bf12-6ee9e2210796 · outbound

This paper cites Chisel: Constructing hardware in a scala embedded language,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Chisel: Constructing hardware in a scala embedded language,

Reference 5

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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.

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Observation a84867be-0fa0-4320-8268-f4610466294a · outbound

This paper cites SpinalHDL,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development SpinalHDL,

Reference 6

Resolution
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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.

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Observation ffbe9a00-4e9a-4fa8-8a3c-67feab6acf79 · outbound

This paper cites Towards Developing High Performance RISC- V Processors Using Agile Methodology,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Towards Developing High Performance RISC- V Processors Using Agile Methodology,

Reference 7

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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=2026-08-16T06:04:28.864700Z digest=sha256:99db704b3a74f685ad589604868e1722ece50f5ed987db252f1bd16b02875777

Observation 9ddf2fc0-e1e9-4076-a378-25ee14b3cd27 · outbound

This paper cites Chipsalliance/rocket-chip,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Chipsalliance/rocket-chip,

Reference 8

Resolution
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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=2026-08-16T06:04:28.868604Z digest=sha256:c3bb422534968fe5f8bd39996109ba8680d382ce0ad67f24d01f790af575cec6

Observation cd3b14f0-156b-4601-8fd7-2729b5f95483 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:28.872540Z digest=sha256:0450021e68a49229bf1a1249967d6a5922a0e06eba20aaffedd62fc770472c00

Observation 8dd6d8e1-a36e-44f6-a965-8853fb08902f · outbound

This paper cites Revisiting VerilogEval: A year of improvements in large-language models for hardware code generation,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Revisiting VerilogEval: A year of improvements in large-language models for hardware code generation,

Reference 10

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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.

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Observation 3012e6f3-7dce-4fb9-993a-2dc9e206683d · outbound

This paper cites Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution,

Reference 11

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-16T06:04:28.881204Z digest=sha256:d84d3b275042c48c687e9cb6a370ba0617c4e165996cbc64f71ae75a5643e840

Observation ed430294-3048-4dbf-895d-29128e05e8bf · outbound

This paper cites Chipgpt: How far are we from natural language hardware design,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Chipgpt: How far are we from natural language hardware design,

Reference 12

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:28.885504Z digest=sha256:69602d93a4dc3cb40e177683ece1217503fcf541dc6bb9efcedc6a6f2a898ec2

Observation 7c733476-b38f-4262-b36f-6439c9e32697 · outbound

This paper cites Rechisel: Effective automatic chisel code gen- eration by llm with reflection,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Rechisel: Effective automatic chisel code gen- eration by llm with reflection,

Reference 13

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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=2026-08-16T06:04:28.889466Z digest=sha256:24f002392a2d0c10f888c99cda169afc376e93f4621802db6fcd2cd34455d908

Observation a9669952-96f5-45e5-a44b-3affd30d33e3 · outbound

This paper cites ChatChisel: Enabling Agile Hardware Design with Large Language Models,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development ChatChisel: Enabling Agile Hardware Design with Large Language Models,

Reference 14

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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=2026-08-16T06:04:28.893494Z digest=sha256:3cd857b12ac89bd0846d98f9f67758ca7db2f51750627dc2e1ffaebe53a82cdf

Observation 9dd91e1a-9984-498e-a759-918ba092a317 · outbound

This paper cites Introducing OpenAI o1,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Introducing OpenAI o1,

Reference 15

Resolution
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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=2026-08-16T06:04:28.897427Z digest=sha256:948ef563e9bba1aec5403f1f11e33f797e5ffa9dd4e69202253a728d98e02513

Observation bb15ce1c-35de-4184-b396-1a11ec620c00 · outbound

This paper cites DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning,

Reference 16

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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=2026-08-16T06:04:28.901358Z digest=sha256:95ca1ea3e4990899f6f9d08e16ba48daa35798d2fa11b0a5938df9a04b223e40

Observation dbff614d-1e68-46eb-98f7-a46d00856536 · outbound

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

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 17

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source=pdf_text observed=2026-08-16T06:04:28.905395Z digest=sha256:b790502abb4261039020cb7b014b0e3ea06a78bcb112cd300288ebb21136fcf6

Observation 4c0728a9-2997-44b0-a4b0-80e78bcfb403 · outbound

This paper cites From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 18

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source=pdf_text observed=2026-08-16T06:04:28.910024Z digest=sha256:e201ad6b6c45e74e6efdccf451ea4d9cc27a151b942bfcf7abd78a08fcf5fecc

Observation f151767a-c15c-4e61-ba02-73f25741d732 · outbound

This paper cites O1 tops aider’s new polyglot leaderboard,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development O1 tops aider’s new polyglot leaderboard,

Reference 19

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

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Observation b060c981-0261-40b9-bdec-ebb14ca4b02f · outbound

This paper cites S*: Test time scaling for code generation,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development S*: Test time scaling for code generation,

Reference 20

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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=2026-08-16T06:04:28.918940Z digest=sha256:a071b6c609a83e149ac4a55809b617124b9064a630e27065d5e4421db9f8b627

Observation 68637fd3-e512-48a3-833e-56ea9b1552d5 · outbound

This paper cites Qwen2.5-Coder Technical Report.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Qwen2.5-Coder Technical Report

Reference 21

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source=pdf_text observed=2026-08-16T06:04:28.927957Z digest=sha256:2b86d1bb9b34e4e5173cdc1b1de9c1d9832d330fc84a3da2cfa4a4d449d114a3

Observation 142918b5-3258-499d-ba0a-c8daa4ac7036 · outbound

This paper cites Chip multi-processor generator,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Chip multi-processor generator,

Reference 22

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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=2026-08-16T06:04:28.932596Z digest=sha256:f0b6988f70b81c66cc154e277633a9f63627d7241982d5548d7ae0ed2e4f0c85

Observation e8c4edce-7557-4b96-893c-adf4c9994918 · outbound

This paper cites A pythonic approach for rapid hardware prototyping and instrumentation,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development A pythonic approach for rapid hardware prototyping and instrumentation,

Reference 23

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

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Observation aafac4cf-e008-4c92-b3ad-958de1e6bec1 · outbound

This paper cites Motivation of chisel,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Motivation of chisel,

Reference 24

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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=2026-08-16T06:04:28.940796Z digest=sha256:b80f5d20353c99000ebd5d8d94cbe573aa9c1a45687a8f488004f92a193382a0

Observation e5c1b01b-1deb-4bcc-aece-6e077c1fc7a2 · outbound

This paper cites Riscv-boom/riscv-boom: SonicBOOM: The berkeley out-of-order ma- chine,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Riscv-boom/riscv-boom: SonicBOOM: The berkeley out-of-order ma- chine,

Reference 25

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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=2026-08-16T06:04:28.944940Z digest=sha256:b5fe99080a40943c89b5c978a6d701bcfd95f6332fda0189e07f1e76403f0baf

Observation 93f55548-24d1-407d-915d-15ccae6751b2 · outbound

This paper cites LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:28.949695Z digest=sha256:9b0fe9a134887b31b52884d079520544d724e639ece4f8886b740c0e8c7c453a

Observation 5486c9b2-1e5e-4a00-bcb0-46464ae7edbe · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Chain-of-thought prompting elicits reasoning in large language models,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.693381Z

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.

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Observation 8cb40318-6833-44a8-86f1-248433e2d0df · outbound

This paper cites Introducing OpenAI o3 and o4-mini,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Introducing OpenAI o3 and o4-mini,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.680883Z

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=2026-08-16T06:04:28.959197Z digest=sha256:a89913aeaaf2a98395f639a0ac07f785f0e4d21f44e0461ee520205673fd6473

Observation 0c209693-1644-4f03-b666-7a1c8a761afb · outbound

This paper cites Claude 3.7 sonnet and claude code,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Claude 3.7 sonnet and claude code,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.668035Z

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=2026-08-16T06:04:28.963498Z digest=sha256:3d68f5df2f70dbd184c0744779621bb3c4ecca7c7b74e5c9e6f677e8039e639d

Observation 73b8cc86-7c74-48ed-aa37-344a7cb9a2ad · outbound

This paper cites Gemini 2.5: Our most intelligent AI model,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Gemini 2.5: Our most intelligent AI model,

Reference 30

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raw_fallback, observed 2026-08-16T06:04:29.654636Z

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=2026-08-16T06:04:28.968073Z digest=sha256:d51cc4a943b41f88cfdddfbe679f80042dd0ab3b34332b0c78cec907bd58418a

Observation 885391fa-4930-4c13-b5f6-092f4dac01e1 · outbound

This paper cites Introducing SWE-bench verified,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Introducing SWE-bench verified,

Reference 31

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raw_fallback, observed 2026-08-16T06:04:29.642110Z

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=2026-08-16T06:04:28.971970Z digest=sha256:170509dbd91510c91aaef3ba98e7018c6e036c8eac6946bd001a787621256670

Observation 3f1dc596-e385-4e3d-b9db-8bdbe3b5f86a · outbound

This paper cites On the effectiveness of large language models in domain-specific code generation,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development On the effectiveness of large language models in domain-specific code generation,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T06:04:28.976176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:28.976176Z digest=sha256:c3583cf459836849677816c9702d112963815da14cad0dc59db8970509838748

Observation 6d9b41e5-b059-45c5-8a64-028370dc98aa · outbound

This paper cites A survey on LLM-based code generation for low-resource and domain-specific programming languages,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development A survey on LLM-based code generation for low-resource and domain-specific programming languages,

Reference 33

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raw_fallback, observed 2026-08-16T06:04:29.628899Z

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=2026-08-16T06:04:28.980717Z digest=sha256:1ad23e39f6fa57d7b0d6cfe7e0895e6f68b7ead72c83b375c099c186d253b070

Observation a069a054-32cc-49ad-ba0e-218f29ea6bc1 · outbound

This paper cites Manifesto for agile software development,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Manifesto for agile software development,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.615625Z

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=2026-08-16T06:04:28.984566Z digest=sha256:aa028d01dab8ce3db1131546fc036f705f6f12b736a107a1387795f5eb9b5a9c

Observation 01acf2a9-f808-476d-8182-69e3aec5849f · outbound

This paper cites Cortellessa and D.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Cortellessa and D

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.601128Z

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=2026-08-16T06:04:28.988724Z digest=sha256:7e224a97d8a8b7f8d2945169c8bd2bc99db75621650080cc98753bbf812b9220

Observation b6a566d0-1def-459a-9354-21e8c998a606 · outbound

This paper cites (system)verilog to chisel translation for faster hardware design,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development (system)verilog to chisel translation for faster hardware design,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.587962Z

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=2026-08-16T06:04:28.992601Z digest=sha256:dd06cc255ac7a62d029691f46fb08fc764c6f54c4654b8a4b224c7fb9b10fc0c

Observation 8c1b1dc2-2718-4516-87a6-b84cd8b59ebd · outbound

This paper cites Towards agile hardware designs with chisel: A network use-case,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Towards agile hardware designs with chisel: A network use-case,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.574690Z

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=2026-08-16T06:04:28.996423Z digest=sha256:96cf3d6a3a4e586e92d903bfaaf4d5cbb5581d8a2795f8c8997cb3b7e0289381

Observation 478a862d-9e11-4661-8fb4-64a5eb7b179f · outbound

This paper cites Starcoder 2 and the stack v2: The next generation,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Starcoder 2 and the stack v2: The next generation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.560518Z

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=2026-08-16T06:04:29.000366Z digest=sha256:b9bea645f9ac01c714be7ef19265e90877cd85ab5d235da364b68e7c4ea812c9

Observation b354d6a7-bf5d-4883-8483-13a2f4434301 · outbound

This paper cites Ucb-bar/chiseltest,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Ucb-bar/chiseltest,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.546654Z

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=2026-08-16T06:04:29.004352Z digest=sha256:6627459b3763d920e3868006571243cbbe0a24aeae8e443bba071069d6f79b75

Observation 149258d3-a9fa-4b2e-9dba-ac2f9e548c20 · outbound

This paper cites LIMA: Less is more for alignment,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development LIMA: Less is more for alignment,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.531317Z

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=2026-08-16T06:04:29.008236Z digest=sha256:278dafdb672a1ab9e114dc6bfc70c81346d5a48d2b5669b7aeb2c053ca8e04a1

Observation 435998b6-be56-4627-bcfa-fde28a612f8c · outbound

This paper cites Codeforces cots,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Codeforces cots,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.516983Z

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=2026-08-16T06:04:29.012196Z digest=sha256:c34e41fd32f00af80cb852baa645039cb6f3f83733d7850a6ca49a6296f1fb72

Observation 22418726-c47f-410a-a13a-34e6a1d45061 · outbound

This paper cites Open thoughts,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Open thoughts,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.503641Z

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=2026-08-16T06:04:29.015973Z digest=sha256:d9babf2f1024fe9c5a0c3124438b24890c0a773a3b3fa1d819e84a5e49b205fc

Observation d54489ad-a1ce-48cd-bcf0-11241105f4d4 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T06:04:29.020233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:29.020233Z digest=sha256:e19d272392c5e05ffbd4487cd1122299e4b29c56df6e6573912130472041cc82

Observation 41716b14-ac8c-43ab-b1a4-d4ac4692ed68 · outbound

This paper cites OpenLLM-RTL: Open Dataset and Benchmark for LLM-Aided Design RTL Generation.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development OpenLLM-RTL: Open Dataset and Benchmark for LLM-Aided Design RTL Generation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.489311Z

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=2026-08-16T06:04:29.024414Z digest=sha256:3549123ef6f3e2fc3a3d4ec7ccedc508ced7f4f0c164e7fc92519abfa4177a2e

Observation 05e0cfea-7c8d-40b6-b45b-65d895752f0d · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T06:04:29.028521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:29.028521Z digest=sha256:bb20c92ea17aa2d0d74935a1ac02f3d54962f69c973ddd9ad0cce9b832314d63

Observation 5d3680a1-0378-4025-9565-150ba6a520c4 · outbound

This paper cites Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.475671Z

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=2026-08-16T06:04:29.033047Z digest=sha256:70933906ebece4d05af5bf05320ae8fdadaf893b2bcce2d075425276f174985a

Observation 6f61fbbb-87d5-44cd-9170-72dcd78bf0c1 · outbound

This paper cites Qwen2.5 Technical Report.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Qwen2.5 Technical Report

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T06:04:29.036924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:29.036924Z digest=sha256:d09da6fa853452e7226259242c4295fe160bc3e74567ee0a3eaa7a28a657c2b3

Observation af223721-93c3-4a02-a38b-d114e4f4e83f · outbound

This paper cites The Llama 3 Herd of Models.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development The Llama 3 Herd of Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T06:04:29.041062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:29.041062Z digest=sha256:9ce98f2512e87f15d11664546a7f5481c203b1700a847e491286c89643b0dc93

Observation c404a9c3-d46d-4dce-9762-917a621d739d · outbound

This paper cites DeepSeek-V3 Technical Report.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development DeepSeek-V3 Technical Report

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T06:04:29.045284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:29.045284Z digest=sha256:4eb698568b61a88ee402830e6ee24b8e9b7c3735d9153c4196c8c704fc41959c

Observation c617f327-94f8-4250-94f6-0af61279010e · outbound

This paper cites Hello GPT-4o,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Hello GPT-4o,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.462275Z

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=2026-08-16T06:04:29.049319Z digest=sha256:06c9e60507b5b7ed34da21802b2a8afd5d19ad953b72f2c480321cad13073bef

Observation e7b07fca-6a5c-470e-af65-411b5cf34170 · outbound

This paper cites Huggingface/open-r1: Fully open reproduction of DeepSeek-R1,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development Huggingface/open-r1: Fully open reproduction of DeepSeek-R1,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.448627Z

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=2026-08-16T06:04:29.053719Z digest=sha256:08667fcc75a625aba6cc88bc604a54431bdf6d2773b3cbdba4bdbd78669f2da6

Observation 2493ded0-3a11-4729-98a4-3086340e9660 · outbound

This paper cites CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization,.

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T06:04:29.434302Z

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=2026-08-16T06:04:29.057911Z digest=sha256:f808494394e7b80c9aa2bbe3784292632c3eb9bfea9b2cb98d525976e4ff9c7c

Observation aed11fcb-9c04-4561-a283-a538e0c3d412 · outbound

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

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development BetterV: Controlled Verilog Generation with Discriminative Guidance

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T06:04:29.062153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:29.062153Z digest=sha256:f2875e6e3ea0a1d55be4233948c618284bca93e49d77c33c099799961622ee35

Observation 8cf68497-6c1b-4562-af19-1c155b77d5f6 · outbound

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

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development S*: Test Time Scaling for Code Generation

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-16T06:04:28.923140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:28.923140Z digest=sha256:8c60c379f40bb65e3817ea2dae5a70d7c57baff69295f60d7fe2f9d9fb9ba2a2

Pith citing papers

No inbound Pith citation observations are available.