Paper Citation Record · LEDGER

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2507.02226.

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

pith.paper-citation-record.v1
2507.02226 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:40:19.452636Z

measured 38 of 38 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:06:44.339563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:57:07.367092Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy9
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 80555db1-a028-4bc1-a57b-e6fda1888c54 · outbound

This paper cites an unresolved cited work.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:40:21.799496Z

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.

Observation 0316c418-eb0b-4484-9793-646fbb4f5c32 · outbound

This paper cites Machine learning for electronic design automation: A survey,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Machine learning for electronic design automation: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:21.556140Z

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.

Observation 04c2de58-91d2-428b-9560-85ca451016c1 · outbound

This paper cites Chateda: A large language model powered autonomous agent for eda,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Chateda: A large language model powered autonomous agent for eda,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:15.441024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da2e2443-043f-4c14-8680-b9ebe93f4ef5 · outbound

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

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Chipgpt: How far are we from natural language hardware design,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:15.548173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c521f759-385d-44f5-8fd0-a304e89ce12c · outbound

This paper cites Evolutionary large language models for hardware security: A comparative survey,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Evolutionary large language models for hardware security: A comparative survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:21.374224Z

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.

Observation 4002d0c8-0195-4812-8013-d651e65399ab · outbound

This paper cites RTL++: Graph-enhanced LLM for RTL Code Generation.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs RTL++: Graph-enhanced LLM for RTL Code Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:15.702642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54b1ee55-1bf2-47a1-b874-da1be65568ec · outbound

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

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:15.769229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8782d138-4cdb-4346-b746-19d5abf4c236 · outbound

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

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Rtl- coder: Fully open-source and efficient llm-assisted rtl code generation technique,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:15.850622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9897cab5-df3d-447a-a288-76fb1a2a82ad · outbound

This paper cites Hot or cold? adaptive temperature sampling for code generation with large language models,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Hot or cold? adaptive temperature sampling for code generation with large language models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:21.179672Z

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.

Observation 861740e6-a271-49c2-a797-6ecb7bd727c9 · outbound

This paper cites Simeval: Investigating the similarity obstacle in llm-based hardware code generation,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Simeval: Investigating the similarity obstacle in llm-based hardware code generation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:16.042192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a583d47f-007f-462e-b679-4f997da72f1f · outbound

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

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Verilogeval: Evaluating large language models for verilog code generation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:16.163072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de1d41b-c355-4624-9aac-6939d2d8e2a7 · outbound

This paper cites Evaluating large language models trained on code,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Evaluating large language models trained on code,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:21.050895Z

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.

Observation 331686df-ffb8-4fa6-8787-e7840f9fd24d · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:16.607811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3555a23b-ed7f-422b-af9e-c872260bc4a3 · outbound

This paper cites Competition-level code generation with alphacode,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Competition-level code generation with alphacode,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:16.704786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41fb7512-be8f-41a9-ab41-a3a2da3a4e2a · outbound

This paper cites Diverse beam search for improved description of complex scenes,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Diverse beam search for improved description of complex scenes,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:20.891668Z

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.

Observation 52c5a751-77e7-4c02-8864-e7cad0af8ae3 · outbound

This paper cites Hierarchical neural story generation,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Hierarchical neural story generation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:20.717651Z

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.

Observation 159afa08-7ae4-4b08-8cdc-bfa3296fb328 · outbound

This paper cites Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correction.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:17.027402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01bb3927-ee07-4999-b435-5411213d6122 · outbound

This paper cites RTLRewriter: Methodologies for Large Models aided RTL Code Optimization.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs RTLRewriter: Methodologies for Large Models aided RTL Code Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:17.127598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 057b0560-79dd-434b-89b5-4e5f97288eea · outbound

This paper cites Self-hwdebug: Automation of llm self- instructing for hardware security verification,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Self-hwdebug: Automation of llm self- instructing for hardware security verification,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:20.528191Z

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.

Observation e08ad78f-d71b-4c0a-99b0-2783a52f5167 · outbound

This paper cites Llm-ift: Llm- powered information flow tracking for secure hardware,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Llm-ift: Llm- powered information flow tracking for secure hardware,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:20.356083Z

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.

Observation 02e5c71c-1e9a-416f-85af-901f9478471c · outbound

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

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Mg-verilog: Multi- grained dataset towards enhanced llm-assisted verilog generation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:20.183761Z

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.

Observation 4610b089-b8fe-4eb5-854b-ea3993bbdfb6 · 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.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:17.834521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64c55f0-354c-4805-bc63-d4b833adf4a1 · outbound

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

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:18.024044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43c4d5e6-2b3a-4b5c-8507-f75ec60f7f5c · outbound

This paper cites Verigen: A large language model for verilog code generation,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Verigen: A large language model for verilog code generation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:18.194000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 050b484b-e20b-4524-8ef6-868334f1cc7c · outbound

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

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs BetterV: Controlled Verilog Generation with Discriminative Guidance

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:18.323151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8b9dd9b-c4ff-4647-9b90-6824d763fd7a · outbound

This paper cites Language mod- els are few-shot learners,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Language mod- els are few-shot learners,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:18.469409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a2e6521-c894-4df1-a800-a5eac1bfc4ca · outbound

This paper cites The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:18.647502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8698d9bd-0fd5-499c-83b9-52f09f84e8b6 · outbound

This paper cites The effect of sampling temperature on problem solving in large language models,.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs The effect of sampling temperature on problem solving in large language models,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:18.801867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb102c1-25ea-4058-9815-bc92ebd90b32 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs The Curious Case of Neural Text Degeneration

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:18.940246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee2a6adf-b067-4c34-af71-c86df319e847 · outbound

This paper cites DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:19.054996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d86619f2-36ad-4dd4-8b1c-199dbf9b8fe3 · outbound

This paper cites A Contrastive Framework for Neural Text Generation.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs A Contrastive Framework for Neural Text Generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:19.123536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0d210eb-37be-44ba-8150-a55379f558b0 · outbound

This paper cites Contrastive Decoding: Open-ended Text Generation as Optimization.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Contrastive Decoding: Open-ended Text Generation as Optimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:19.201144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f88821a8-360d-4b67-a0ed-cb5b454bcc6c · outbound

This paper cites Contrastive Decoding Improves Reasoning in Large Language Models.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Contrastive Decoding Improves Reasoning in Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:19.307487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23192c44-2f11-4f51-b2e9-ed132606539c · outbound

This paper cites Qwen2.5-Coder Technical Report.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Qwen2.5-Coder Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:19.377635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47bb4945-8cfd-43b3-a2c4-a9089e951643 · outbound

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

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Code Llama: Open Foundation Models for Code

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:19.452636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5951f76a-f2f5-4313-8291-f5b14c9bd766 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Evaluating Large Language Models Trained on Code

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:16.438012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 10c1aa0c-e2a1-4274-9867-c13c68488918 · inbound

RTL-BenchMT: Dynamic Maintenance of RTL Generation Benchmark Through Agent-Assisted Analysis and Revision cites this paper.

RTL-BenchMT: Dynamic Maintenance of RTL Generation Benchmark Through Agent-Assisted Analysis and Revision DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:42:37.349603Z

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.

Observation d2267ab7-884d-4181-814c-07b3d97c16e3 · 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 DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:57:07.369019Z

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.