Paper Citation Record · LEDGER

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning

As of 14 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 5 inbound Pith citation observations for arXiv:2506.10125.

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

pith.paper-citation-record.v1
2506.10125 v3

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:41:57.196132Z

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:39:35.321148Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T09:41:21.790429Z

Reference resolution

77 of 77 outbound references displayed

verified exact2
verified fuzzy56
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f20f266a-88d5-4821-9260-9bdc7090b788 · outbound

This paper cites an unresolved cited work.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:41:58.395141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b52d93a3-3383-45f3-b940-d761f2f3e4f1 · outbound

This paper cites Hex rays decompiler.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Hex rays decompiler

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.382481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 076eb843-7488-4222-94e3-6a3f75a2dbbd · outbound

This paper cites an unresolved cited work.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:41:58.369361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3bfa30d6-c3ec-4171-a005-df8fe1fa3bd7 · outbound

This paper cites Claude AI (Claude 3, May 2025 version).

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Claude AI (Claude 3, May 2025 version)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.355998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 05a89e77-a2f9-4caf-ae90-10cfcf3893d8 · outbound

This paper cites RetDec: A retargetable machine-code decompiler.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning RetDec: A retargetable machine-code decompiler

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.328461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 23893f9b-0462-45cc-b9da-20cbdde654d6 · outbound

This paper cites Qwen Technical Report.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Qwen Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:56.908363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56df8c2a-7c58-4945-8408-da5fee39cf13 · outbound

This paper cites Ahoy SAILR! there is no need to DREAM of c: A Compiler- Aware structuring algorithm for binary decompilation.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Ahoy SAILR! there is no need to DREAM of c: A Compiler- Aware structuring algorithm for binary decompilation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.313248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4562b4df-28b4-47e0-be95-f6ad84e8dde1 · outbound

This paper cites Native x86 decompilation using{Semantics-Preserving} structural analysis and iterative {Control-Flow} structuring.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Native x86 decompilation using{Semantics-Preserving} structural analysis and iterative {Control-Flow} structuring

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.299604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 57387835-e585-4066-b683-5c1c518fcb40 · outbound

This paper cites Decomperson: How humans decompile and what we can learn from it.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Decomperson: How humans decompile and what we can learn from it

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.285909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c186840-58ad-4765-9199-5f5937abf358 · outbound

This paper cites Buse and Westley R.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Buse and Westley R

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.271242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3318773e-ff0c-40ab-bb00-40cfe70ab392 · outbound

This paper cites Evaluating the effectiveness of decompilers.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Evaluating the effectiveness of decompilers

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.257497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41c28051-f6cf-4a88-8dff-e95397709bc1 · outbound

This paper cites Schwartz, Claire Le Goues, Graham Neubig, and Bogdan Vasilescu.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Schwartz, Claire Le Goues, Graham Neubig, and Bogdan Vasilescu

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.244340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e80a09d-a04c-40e0-b854-f57e353ed3bb · outbound

This paper cites coreutils.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning coreutils

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.230760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 771bfca8-e4b4-4423-83f3-156ea77b1b8c · outbound

This paper cites Z3: An efficient smt solver.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Z3: An efficient smt solver

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.217444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 14c18af4-3176-4b4b-a3dc-f9fdb4b4e445 · outbound

This paper cites StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:56.947388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d94c0385-d69d-4b61-a9d7-c20cfe8956da · outbound

This paper cites Schwartz, Bogdan Vasilescu, and Claire Le Goues.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Schwartz, Bogdan Vasilescu, and Claire Le Goues

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.204134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6d45851-b3c9-41ce-84d7-79d26395c602 · outbound

This paper cites R2i: A relative readability metric for decompiled code.Proc.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning R2i: A relative readability metric for decompiled code.Proc

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.190039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac98f771-195e-47b9-bced-b806b2bbe38e · outbound

This paper cites Curran Associates Inc., Red Hook, NY, USA, 2019.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Curran Associates Inc., Red Hook, NY, USA, 2019

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.176066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f7fb8868-7cd5-472f-aa5a-05ccbcc75f86 · outbound

This paper cites Github copilot.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Github copilot

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.162715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 44a9781c-1905-4d4a-aa0d-ae116c9c64c3 · outbound

This paper cites Gemini Code Assist.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Gemini Code Assist

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.134120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b0017a74-9044-4afb-919c-4dc125a49237 · outbound

This paper cites The llama 3 herd of models, 2024.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning The llama 3 herd of models, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.119672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 57e60ad6-8410-4a34-8286-89fef4b61d14 · outbound

This paper cites Queryx: Symbolic query on decompiled code for finding bugs in cots binaries.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Queryx: Symbolic query on decompiled code for finding bugs in cots binaries

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.106220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bcbd8602-0457-466e-8f17-a15a727c3e17 · outbound

This paper cites On the importance and shortcomings of code readability metrics: A case study on reactive programming, 2021.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning On the importance and shortcomings of code readability metrics: A case study on reactive programming, 2021

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.093152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 23fe7c87-a6ce-4e9c-9ec7-a596ebb95a3a · outbound

This paper cites Open-reasoner-zero: An open source approach to scaling up reinforcement learning on the base model, 2025.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Open-reasoner-zero: An open source approach to scaling up reinforcement learning on the base model, 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:56.985238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e39a95-d1c6-4eee-b993-79a22db3ae78 · outbound

This paper cites Degpt: Optimizing decompiler output with llm.Proceedings 2024 Network and Distributed System Security Symposium, 2024.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Degpt: Optimizing decompiler output with llm.Proceedings 2024 Network and Distributed System Security Symposium, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.070400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 15f6009d-ad1e-42c0-a927-e16b3aa54c3f · outbound

This paper cites Qwen2.5-Coder Technical Report.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Qwen2.5-Coder Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:56.993199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70fe8468-c517-4779-aade-ccda362424f3 · outbound

This paper cites A survey on large language models for code generation, 2024.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning A survey on large language models for code generation, 2024

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:56.997347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92e1ff20-a6e6-4f1f-b12a-fbd7084b138e · outbound

This paper cites an unresolved cited work.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:41:58.046098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c4176a02-c9d2-440b-bd23-9f393dfa6ffe · outbound

This paper cites Towards Neural Decompilation.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Towards Neural Decompilation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:57.005468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9453ef82-efe1-4faa-9304-2812f85c7485 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Gonzalez, Hao Zhang, and Ion Stoica

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:57.009690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8ffadf5-98bf-4cb7-b63a-305d71b69cd5 · outbound

This paper cites Ghidramcp: Mcp server for ghidra.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Ghidramcp: Mcp server for ghidra

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.020063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 59d2787b-3092-4259-a8de-649011c6f5b1 · outbound

This paper cites Coderl: Mastering code generation through pretrained models and deep reinforcement learning.Advances in Neural Information Processing Systems, 35:21314–21328, 2022.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Coderl: Mastering code generation through pretrained models and deep reinforcement learning.Advances in Neural Information Processing Systems, 35:21314–21328, 2022

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:57.017536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e1b6eb-3e3f-4ddb-b9c8-496dc96e0777 · outbound

This paper cites TIE: principled reverse engineering of types in binary programs.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning TIE: principled reverse engineering of types in binary programs

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.996092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 83392661-6a51-4efd-8775-143f2e6fff24 · outbound

This paper cites When function signature recovery meets compiler optimization.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning When function signature recovery meets compiler optimization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.982954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24326f23-6be8-429f-bb56-defcecd6ba5f · outbound

This paper cites Zhang,and Dongyan Xu.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Zhang,and Dongyan Xu

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.970298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d43461cd-8972-4ebe-bf13-7c63b0fd59f4 · outbound

This paper cites Understanding llms: A comprehensive overview from training to inference, 2024.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Understanding llms: A comprehensive overview from training to inference, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.957290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 201654be-b411-47c0-ad02-cc829823be52 · outbound

This paper cites How farwe have come: testing decompilation correctness of c decompilers.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning How farwe have come: testing decompilation correctness of c decompilers

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.943155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9850101-18d6-4748-ab49-93f3bcd03a87 · outbound

This paper cites Understanding r1-zero-like training: A critical perspective, 2025.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Understanding r1-zero-like training: A critical perspective, 2025

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:57.042744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b52376ff-1b1d-4a02-a97a-bed57b6a87f6 · outbound

This paper cites Lopes, Juneyoung Lee, Chung-Kil Hur, Zhengyang Liu, and John Regehr.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Lopes, Juneyoung Lee, Chung-Kil Hur, Zhengyang Liu, and John Regehr

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.918558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7a87ca9-0a79-480b-a369-7a8abc1f1a56 · outbound

This paper cites The convergence of source code and binary vulnerability discovery – a case study.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning The convergence of source code and binary vulnerability discovery – a case study

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.905931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3a2e3d20-e06d-4574-b48f-f7e36cc07624 · outbound

This paper cites an unresolved cited work.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:41:57.892296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f1c856ee-a5ed-45e5-a725-f12f7f535372 · outbound

This paper cites An empirical validation ofcognitive complexityas a measure ofsource code understand- ability.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning An empirical validation ofcognitive complexityas a measure ofsource code understand- ability

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.878677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86948324-45c8-4587-b4ef-d4f90e52cccf · outbound

This paper cites NVIDIA Data Center Deep Learning Product Performance AI Inference.NVIDIA Developer.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning NVIDIA Data Center Deep Learning Product Performance AI Inference.NVIDIA Developer

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.863741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3ace089a-ed35-4676-9dc6-8b571fcdde39 · outbound

This paper cites Goucher, Adam Perelman, and Aditya Ramesh et al.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Goucher, Adam Perelman, and Aditya Ramesh et al

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.848959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bedefeae-a940-419d-9737-e03a819a739f · outbound

This paper cites ChatGPT (May 2025 version).

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning ChatGPT (May 2025 version)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.835220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c157e45-1516-42bc-8d62-5de375c30342 · outbound

This paper cites Generating refactored code accurately using reinforcement learning.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Generating refactored code accurately using reinforcement learning

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:41:57.295918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 132817c1-fb61-4a01-ae2b-990f69c8e939 · outbound

This paper cites Lost in translation: A study of bugs introduced by large language models while translating code.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Lost in translation: A study of bugs introduced by large language models while translating code

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.819906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b7986cb-bf21-47c2-a00f-bf8be0e9e7fc · outbound

This paper cites A simpler model of software readability.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning A simpler model of software readability

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.803275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0c842000-1dce-4300-b9bf-a01823e728e1 · outbound

This paper cites Automatically mitigating vulnerabilities in binary programs via partially recompilable decompilation.IEEE Transactions on Dependable and Secure Computing, 22:2270–2282, 2022.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Automatically mitigating vulnerabilities in binary programs via partially recompilable decompilation.IEEE Transactions on Dependable and Secure Computing, 22:2270–2282, 2022

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.789167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 20904294-95a8-4d2f-aa89-2b77acae23ee · outbound

This paper cites Learning by playing solving sparse reward tasks from scratch.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Learning by playing solving sparse reward tasks from scratch

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.774801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 743d53b0-e2d3-4ac5-a7ec-23abd16acab4 · outbound

This paper cites Code llama: Open foundation models for code, 2023.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Code llama: Open foundation models for code, 2023

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.760480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c7af97bf-3feb-44d1-bbad-61ec553ec730 · outbound

This paper cites A comprehensive model for code readability.J.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning A comprehensive model for code readability.J

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.747087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6c0defa4-2995-4ceb-b638-de4162284e5f · outbound

This paper cites Proximal policy optimization algorithms, 2017.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Proximal policy optimization algorithms, 2017

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:57.103126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d9281bf-4e09-4650-be6e-6fe3638e0e21 · outbound

This paper cites an unresolved cited work.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:57.106975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc237243-3fcd-422c-b51e-f8f869279c90 · outbound

This paper cites Execution-based Code Generation using Deep Reinforcement Learning.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Execution-based Code Generation using Deep Reinforcement Learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:57.111117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fafabac-40e5-43f3-9bb3-87d5daa6b8e1 · outbound

This paper cites Llm4decompile: Decompiling binary code with large language models.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Llm4decompile: Decompiling binary code with large language models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.714097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d03c4e44-1332-4e26-a3bc-94a0fe358c32 · outbound

This paper cites LLM-Vectorizer: LLM-based Verified Loop Vectorizer.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning LLM-Vectorizer: LLM-based Verified Loop Vectorizer

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:41:57.259086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eff714c0-17be-492f-90dc-047d07292180 · outbound

This paper cites automatically assessing code understand- ability.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning automatically assessing code understand- ability

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.699869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 03f1f9ef-7e5e-49a0-96d4-7ffe88e0ab84 · outbound

This paper cites util-linux.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning util-linux

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.686309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation be8d05bc-49ed-43c2-b502-86aeadf8268b · outbound

This paper cites TRL: Transformer Reinforcement Learning.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning TRL: Transformer Reinforcement Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:57.133428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 513929e8-fae4-4b04-85b1-de4ba39750d0 · outbound

This paper cites Foster, and Michelle L.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Foster, and Michelle L

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.663865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac2271b2-aeb3-4387-99d0-4b3cb1691cb7 · outbound

This paper cites Angr - the next generation of binary analysis.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Angr - the next generation of binary analysis

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.651171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34c90538-d623-4d93-90e8-4c6d70bb6fc3 · outbound

This paper cites Enhancing translation validation of compiler transformations with large language models, 2024.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Enhancing translation validation of compiler transformations with large language models, 2024

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.637483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f8f4a469-6861-4842-a6e1-f9b9af972f48 · outbound

This paper cites Refining Decompiled C Code with Large Language Models.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Refining Decompiled C Code with Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:57.150479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0ba986-78e1-4868-bbf3-d2e9f6d06681 · outbound

This paper cites DEEPTYPE: Refining indirect calltargets withstrong multi-layertype analysis.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning DEEPTYPE: Refining indirect calltargets withstrong multi-layertype analysis

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.623385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7dacf552-3e21-4a8c-81cb-6328a3300ed3 · outbound

This paper cites Resym: Harnessing llms to recover variable and data structure symbols from stripped binaries.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Resym: Harnessing llms to recover variable and data structure symbols from stripped binaries

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.609933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e22a4805-95b0-4ff0-9596-ca5c705c741b · outbound

This paper cites Unleashing the power of generative model in recovering variable names from stripped binary.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Unleashing the power of generative model in recovering variable names from stripped binary

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.595933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 288da05e-7ee5-4c99-8b26-4419658c7417 · outbound

This paper cites Helping johnny to analyze malware: A usability-optimized decompiler and malware analysis user study.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Helping johnny to analyze malware: A usability-optimized decompiler and malware analysis user study

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.583083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf3639ea-4085-466b-804b-917ed4185cf9 · outbound

This paper cites No more gotos: Decompilation using pattern-independent control-flow structuring and semantic-preserving transformations.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning No more gotos: Decompilation using pattern-independent control-flow structuring and semantic-preserving transformations

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.569290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 23f310bc-6812-428a-ac6c-9a8e8c90ea1b · outbound

This paper cites Bin2wrong: a unified fuzzing framework for uncovering semantic errors in binary-to-c decompilers.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Bin2wrong: a unified fuzzing framework for uncovering semantic errors in binary-to-c decompilers

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.445701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e6224d19-7228-4651-8064-5825408e1c46 · outbound

This paper cites Analyzing system software components using api model guided symbolic execution.Journal of Automated Software Engineering, 2020.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Analyzing system software components using api model guided symbolic execution.Journal of Automated Software Engineering, 2020

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.430694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b18f5bd8-05d2-4a5e-81b5-55367ecf7d72 · outbound

This paper cites Osprey: Recovery of variable and data structure via probabilistic analysis for stripped binary.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Osprey: Recovery of variable and data structure via probabilistic analysis for stripped binary

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.414975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ad30d6e-2110-4345-9d01-f604f9e57a3f · outbound

This paper cites Llm hallucinations in practical code generation: Phenomena, mechanism, and mitigation.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Llm hallucinations in practical code generation: Phenomena, mechanism, and mitigation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.400451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5284b0c1-0ba3-4fbb-8740-724d19a5fee0 · outbound

This paper cites TYGR: Type inference on stripped binaries using graph neural networks.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning TYGR: Type inference on stripped binaries using graph neural networks

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.386234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 54a1349b-ce0c-4ce6-9b1a-e07a57117b8c · outbound

This paper cites D-Helix: A generic decompiler testing framework using symbolic differentiation.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning D-Helix: A generic decompiler testing framework using symbolic differentiation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:57.372296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6540b56-0f35-4cf6-a2d6-8ee1dca840c9 · outbound

This paper cites an unresolved cited work.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:41:58.147996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dddf3ace-cd39-4641-bb9f-21af8f4b1f90 · outbound

This paper cites Accessed: 2025-06-04.

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning Accessed: 2025-06-04

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:58.341664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 110c5ce4-e72c-4ab1-9ed9-e0f813fe1688 · inbound

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference cites this paper.

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-15T00:21:12.099934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 955258cd-8dcb-4418-aeb2-8f7147b7f79c · inbound

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference cites this paper.

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T21:07:20.347554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3c9e9c-d1c7-4393-8bae-8baf9dcd90c6 · inbound

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage cites this paper.

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-07-15T00:21:12.099934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 89c480a1-6202-45d1-9edf-0cc3144ad3f6 · inbound

NotDec: WebAssembly Decompilation With Inter-Procedural Type Recovery cites this paper.

NotDec: WebAssembly Decompilation With Inter-Procedural Type Recovery D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T21:44:23.442024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 443cedb3-970e-4fc1-b621-af1551d65420 · inbound

Statistical Analysis of Executability and Program Equivalence in Decompilation for IoT Vulnerability Detection cites this paper.

Statistical Analysis of Executability and Program Equivalence in Decompilation for IoT Vulnerability Detection D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:35.321148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.