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Paper Citation Record · LEDGER

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.06096.

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

pith.paper-citation-record.v1
2505.06096 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:51:43.780308Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd090c29-eb09-4e92-8c31-6a0695de2660 · outbound

This paper cites Attention Is All You Need,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Attention Is All You Need,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.238480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.653484Z digest=sha256:286275f5017b587764f39fa5ce1bda74caeb5bf2d850f2500e9eb900aba2888a

Observation 32e4058d-2eb0-4c59-8607-bed85493d71f · outbound

This paper cites Transformers: State- of-the-Art Natural Language Processing,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Transformers: State- of-the-Art Natural Language Processing,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.228021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.657516Z digest=sha256:e14c5983ac8af00dcc32e9dab871b8d4a9e3b64e1841a91135c9e93c40d7f168

Observation a80cbb0d-5f36-4d50-bde5-9de5304b11ac · outbound

This paper cites 12 Practical Large Language Model (LLM) Applications,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs 12 Practical Large Language Model (LLM) Applications,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.217864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.661724Z digest=sha256:94c169daf35ac9a6618830b591b851aab412b25a365f9d514ea41a76a4a24f04

Observation 0ec0cb8d-d4c9-41d6-a5c0-2bbb786b0644 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 4

Resolution
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no resolver link, observed 2026-08-15T22:51:43.665298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.665298Z digest=sha256:583cfd9a77234fec4d3df306998fc080c3ecad55c1c2388d00f1ce2cac3ecab3

Observation e155d444-e39c-477e-881b-6ff118465fc2 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Evaluating Large Language Models Trained on Code

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.669604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.669604Z digest=sha256:acc9587580415b0ee3aff26a22fc23a46c9fc16f5366af806acaf99939871359

Observation 65b6ae6f-6e06-4f47-a3e8-de82948dc3ae · outbound

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

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.673419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.673419Z digest=sha256:c05a96d9e7aa3e12d729724e9acb773554423e10717b9220478027199c73aa69

Observation 418c6c8d-fa17-4194-bada-7272cbaa08ba · outbound

This paper cites The Stack: 3 TB of permissively licensed source code.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs The Stack: 3 TB of permissively licensed source code

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.677253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.677253Z digest=sha256:0c4eb6326cdfa37793385bbec439bb03ad55a33980ab586d380a6e887b1e01f8

Observation 960f7c70-d712-4862-80ff-5bc1b3ab6227 · outbound

This paper cites An Introduction to Microsoft Copilot,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs An Introduction to Microsoft Copilot,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.207293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.681786Z digest=sha256:61844213984485e1b16ff4832373bbdfc4e9884eed9183cccc2da95892bee241

Observation be0eb067-da92-430d-8aee-d71ace00702d · outbound

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

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Code Llama: Open Foundation Models for Code

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.685004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.685004Z digest=sha256:d1b2bb3aa1fdcbf49798f65e48a5fd46f9b0a9692229a111323142ff7c3ef8d8

Observation 3922a23f-1159-47b9-aba3-f8b1b0f22f4e · outbound

This paper cites GPT-4 Technical Report.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs GPT-4 Technical Report

Reference 10

Resolution
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no resolver link, observed 2026-08-15T22:51:43.688902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.688902Z digest=sha256:efa0d18213573cab0ea4fe5e0764a3b77c73f6ddfc5b032e01dc5486203e071a

Observation 43c4a1c1-4cdf-498d-98c2-c0a797877643 · outbound

This paper cites LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.692386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.692386Z digest=sha256:9649e315a501d02fc5f38a4b4881398f02b00be48f6db38537cff0a8711e86a5

Observation cd28e480-316f-4895-aa37-fd399e30b588 · outbound

This paper cites VeriGen: A Large Language Model for Cerilog Code Generation,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs VeriGen: A Large Language Model for Cerilog Code Generation,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.196373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.696039Z digest=sha256:e6c8a23bb4ba6e17af573d8b5e89e9fa063e5ec18e1f3f4931ccdb1e5f6ecaba

Observation b0fa4bf3-d8d0-4fed-b6be-c724899d14dd · outbound

This paper cites Chip-Chat: Chal- lenges and Opportunities in Conversational Hardware Design,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Chip-Chat: Chal- lenges and Opportunities in Conversational Hardware Design,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.185680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.699795Z digest=sha256:67fb3e336a201c906c6b1be092b6f3ac138e0a07d0d6518478a9e861e6c0aa46

Observation 84c610c4-4da1-4eb5-9dcf-11d490ad49a9 · outbound

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

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs ChipGPT: How far are we from natural language hardware design,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.703428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.703428Z digest=sha256:33f3d73a2fd0bf27202e9f5af56c6c51b3db57acf9427d0f0e68f9c77e7a27b5

Observation 11fccd4a-aa20-4d6e-8ca8-b79bc7e4474e · outbound

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

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.706606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.706606Z digest=sha256:8af266cd8f1c2888a285ecdc9ab9cd8bd667dd2b5ea057f5265da26ce7d670bb

Observation 1d927ec2-41e9-4e18-8215-44defa485480 · outbound

This paper cites RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open- Source Dataset and Lightweight Solution,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open- Source Dataset and Lightweight Solution,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.173157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.710007Z digest=sha256:567888379b1cfc75cf33b072c70a4d411db6e3ad9ddd2b2da806d40a3ace219b

Observation 1fd0b58e-57a0-4f39-8278-e9d937cc789c · outbound

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

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs BetterV: Controlled Verilog Generation with Discriminative Guidance

Reference 17

Resolution
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no resolver link, observed 2026-08-15T22:51:43.713325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.713325Z digest=sha256:76bd762c5d843258638877a0537a36ee276c291cc0a5be50093f49f30864567f

Observation e689daf8-3357-4ab3-8f78-b9e4b0775f40 · outbound

This paper cites Large Language Model for Verilog Generation with Code-Structure-Guided Reinforcement Learning.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Large Language Model for Verilog Generation with Code-Structure-Guided Reinforcement Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.716862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.716862Z digest=sha256:c046ec9f63baa3b5691ce50c97af4c3f37423aef709c34a0d970412e92c3dc34

Observation d0021637-78e9-473e-8172-c6f5225591c5 · outbound

This paper cites AutoChip: Automating HDL Generation Using LLM Feedback.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs AutoChip: Automating HDL Generation Using LLM Feedback

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.720426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.720426Z digest=sha256:fe96002960fbeb3bd11425fcfc309f2d61c6e2f3101f955950d26b8ae1b44de7

Observation 3316d6eb-05fc-418b-b462-6d9b0caeff19 · outbound

This paper cites RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.162507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.723834Z digest=sha256:4081c7aaee222a5334fc1e4d7c49d8c9657d05fa3de6f46bd6bc5477e2066487

Observation b6529a4a-b049-4c0e-b13c-58b1405a2b39 · outbound

This paper cites OpenAI, Microsoft want court to toss lawsuit accusing them of abusing open-source code,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs OpenAI, Microsoft want court to toss lawsuit accusing them of abusing open-source code,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.151317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.727302Z digest=sha256:78603e6a7c33c4c0bb903443a35dfff2aa55c6a0831cbd636d77c06880012c8a

Observation 90a73e50-359e-4396-8e09-d758f719abb1 · outbound

This paper cites RTL Hardware IP Protection Using Key-Based Control and Data Flow Obfuscation,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs RTL Hardware IP Protection Using Key-Based Control and Data Flow Obfuscation,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.129864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.734169Z digest=sha256:103a24630ccbdd4e6bddc9863faf664030ba2a39336ad2cead78445d64dbcb43

Observation 1f2837d5-946d-44c9-b09b-752a7f27fb26 · outbound

This paper cites Copyright Traps for Large Language Models.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Copyright Traps for Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.737597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.737597Z digest=sha256:2425091defc7da8f55c7147a7fe518910405e55e86f619663c358ead62341e4a

Observation e4cebff8-44d3-43bd-bc92-276f1f76ee86 · outbound

This paper cites Beyond Fair Use: Legal Risk Evaluation for Training LLMs on Copyrighted Text,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Beyond Fair Use: Legal Risk Evaluation for Training LLMs on Copyrighted Text,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.117315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.741184Z digest=sha256:cf027011c0c13a34d0f84009379ed175409d2f7c408a0cbe458f62bc8ddb925f

Observation fdc722ba-38e0-4edb-8f49-89719eb46b7d · outbound

This paper cites Ongoing lawsuits could affect everyone who uses generative AI,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Ongoing lawsuits could affect everyone who uses generative AI,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.105083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.744390Z digest=sha256:d4e65a85d6c45ae13958b25129fb4db51bdf6d60d721ee197713e445ee916e69

Observation 4fc04375-7e64-4d51-b3e1-57c668ba7cea · outbound

This paper cites Ex- ploring Memorization and Copyright Violation in Frontier LLMs: A Study of the New York Times v. OpenAI 2023 Lawsuit,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Ex- ploring Memorization and Copyright Violation in Frontier LLMs: A Study of the New York Times v. OpenAI 2023 Lawsuit,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.093635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.747741Z digest=sha256:400caaee6f9a80a2a9935f2faca7b15f78acd34657a38f2443e52393e39be41f

Observation f5f49f02-ffca-4675-8691-cc3007278d67 · outbound

This paper cites Digger: Detecting Copyright Content Mis-usage in Large Language Model Training.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Digger: Detecting Copyright Content Mis-usage in Large Language Model Training

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.751139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.751139Z digest=sha256:9b27c0ebe11a4d49cde86a9af4d6999350c67493028bf75e0030b0727d488c1b

Observation a82ffeb2-6c12-4269-95e3-314ae6dc2ca2 · outbound

This paper cites SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.755089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.755089Z digest=sha256:ef595f9ff7782e27c2789ff7d0e593024751611c2d2b74ce8b27aa1395fa28b4

Observation fcf7d3ba-9508-4e30-952e-36c64297413a · outbound

This paper cites RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.082192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.758917Z digest=sha256:4a79ac65372a5e9550657a838db4afa33ad5bd455aa351a9ca6d10a7e2247d73

Observation e7c2f607-8075-41d9-8bef-abd5e200b38d · outbound

This paper cites (Security) Assertions by Large Language Models.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs (Security) Assertions by Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.762513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.762513Z digest=sha256:ff6d9c730f3360d6f3b7b0c0097126fa7ce41d4222304495a7ef254f5905bcab

Observation 2384d7af-efa1-4a07-8624-76b90a74115f · outbound

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

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs OpenLLM-RTL: Open Dataset and Benchmark for LLM-Aided Design RTL Generation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.071228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.766105Z digest=sha256:30a1a5d1b4ade6918fff0847aa260a641308476e819d719e7372b787d5907d8f

Observation 2f8462ce-1e04-469e-b16c-869cb2530b21 · outbound

This paper cites Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.769340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.769340Z digest=sha256:43de9abdde94aec7063230a898bebed03270b903360fd55cc11485adb8295dee

Observation 7b72accb-96ea-4b8d-b311-cf5b0536a3c0 · 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.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.773049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.773049Z digest=sha256:5d37fced64c67e00a4e3c2ffefe8db4ccd1f756336bc5dc48a90137ac998080b

Observation 1ffe184e-cef1-4348-a5bc-ed7966828962 · outbound

This paper cites OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:43.776823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:43.776823Z digest=sha256:9f6678015ff74dfaf4311cd6b5dadd6e0a998648713a33a721d8864add054264

Observation 1a22c5ef-95d6-4c4c-99ee-7e58fbf619ec · outbound

This paper cites GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detec- tion,.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detec- tion,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.059392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.780308Z digest=sha256:1141dbb7fb04900fa7dd8c48331fbe08f97599356779f61d35c3a111508111f6

Observation e0f3a494-29c1-4bf3-afe3-f1f9df99c72b · outbound

This paper cites Available: https://www.reuters.com/legal/litigation/ openai-microsoft-want-court-toss-lawsuit-accusing-them-abusing-open-source-code-2023-01-27/.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Available: https://www.reuters.com/legal/litigation/ openai-microsoft-want-court-toss-lawsuit-accusing-them-abusing-open-source-code-2023-01-27/

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:44.140437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:51:43.730840Z digest=sha256:2df2b007831dfa671738169fa8a3836056c77fee068a0f997ca937cdeeed158c

Pith citing papers

No inbound Pith citation observations are available.