Paper Citation Record · LEDGER

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.06125.

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

pith.paper-citation-record.v1
2607.06125 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T16:02:34.343743Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 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

31 of 31 outbound references displayed

verified exact11
verified fuzzy16
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85ba098b-cdc4-41f9-adde-c78875f51955 · outbound

This paper cites Abualazm and A.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Abualazm and A

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-08T16:05:06.191517Z

Source-reported events for the cited work

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

Observation 808a7cb0-f5c5-49c3-bab0-c03db7231573 · outbound

This paper cites Armengol-Estap\'e et al., ``SLaDe: A Portable Small Language Model Decompiler,'' in Proc.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Armengol-Estap\'e et al., ``SLaDe: A Portable Small Language Model Decompiler,'' in Proc

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.484933Z

Source-reported events for the cited work

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

Observation e6212ce4-5d84-4fba-9856-25f805de369e · outbound

This paper cites Athiwaratkun et al., ``Multi-lingual Evaluation of Code Generation Models,'' in NeurIPS Datasets and Benchmarks, 2023.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Athiwaratkun et al., ``Multi-lingual Evaluation of Code Generation Models,'' in NeurIPS Datasets and Benchmarks, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.473515Z

Source-reported events for the cited work

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

Observation 72e17e16-78e6-42ac-a7a9-593ba4d310a3 · outbound

This paper cites Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-08T16:05:06.194020Z

Source-reported events for the cited work

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

Observation 17ca01da-4cb1-4b59-81d5-11f6cfdebf40 · outbound

This paper cites Boronat and J.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Boronat and J

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.471659Z

Source-reported events for the cited work

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

Observation 64f3c009-6035-47f8-a7f2-2938a9081307 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Evaluating Large Language Models Trained on Code

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-08T16:05:06.196591Z

Source-reported events for the cited work

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

Observation 0638e45c-148b-4b5f-8897-f016b4d3b437 · outbound

This paper cites Choi et al., ``Toward Efficient Deobfuscation via Large Language Models,'' IEEE Access, 2026.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Choi et al., ``Toward Efficient Deobfuscation via Large Language Models,'' IEEE Access, 2026

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.475465Z

Source-reported events for the cited work

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

Observation 06ef4162-9723-4638-9061-b1b636c73065 · outbound

This paper cites Cifuentes, ``Reverse Compilation Techniques,'' Ph.D.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Cifuentes, ``Reverse Compilation Techniques,'' Ph.D

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.469014Z

Source-reported events for the cited work

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

Observation 93ef2d30-0f29-4420-bfaf-1736ea7841d1 · outbound

This paper cites an unresolved cited work.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-07-08T16:05:06.478652Z

Source-reported events for the cited work

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

Observation 7a4ea787-a26b-4be8-9110-116a6ff474ed · outbound

This paper cites Dramko et al., ``A Taxonomy of C Decompiler Fidelity Issues,'' in Proc.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Dramko et al., ``A Taxonomy of C Decompiler Fidelity Issues,'' in Proc

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.452616Z

Source-reported events for the cited work

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

Observation 74f62644-34d3-4f8c-9883-311603e89815 · outbound

This paper cites Idioms: Neural Decompilation With Joint Code and Type Definition Prediction.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Idioms: Neural Decompilation With Joint Code and Type Definition Prediction

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-08T16:05:06.176233Z

Source-reported events for the cited work

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

Observation 7966291c-1d66-4019-93d0-f2970eafe843 · outbound

This paper cites Feng et al., ``Self-Constructed Context Decompilation with Fine-grained Alignment Enhancement,'' in Findings of EMNLP, 2024.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Feng et al., ``Self-Constructed Context Decompilation with Fine-grained Alignment Enhancement,'' in Findings of EMNLP, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.467424Z

Source-reported events for the cited work

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

Observation 24a7e859-4001-4137-98a7-23526636ea5f · outbound

This paper cites Gao et al., ``DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios,'' in Findings of ACL, 2025.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Gao et al., ``DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios,'' in Findings of ACL, 2025

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.477173Z

Source-reported events for the cited work

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

Observation 1e40dfa6-1532-4e4d-a0b1-b2828cb4c8fa · outbound

This paper cites Hosseini and B.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Hosseini and B

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.480350Z

Source-reported events for the cited work

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

Observation a66b93c4-2dac-42e9-8a4c-991e8bd4ff70 · outbound

This paper cites an unresolved cited work.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-07-08T16:05:06.481797Z

Source-reported events for the cited work

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

Observation 76c52850-9dae-44e8-bef4-53af5359f418 · outbound

This paper cites Hu et al., ``DeGPT: Optimizing Decompiler Output with LLM,'' in Proc.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Hu et al., ``DeGPT: Optimizing Decompiler Output with LLM,'' in Proc

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.483294Z

Source-reported events for the cited work

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

Observation d943740e-ed05-4a60-95bd-4170924d23a0 · outbound

This paper cites Sok: Potentials and challenges of large language models for reverse engineering.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Sok: Potentials and challenges of large language models for reverse engineering

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-08T16:05:06.188941Z

Source-reported events for the cited work

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

Observation aae1eaaa-0b4a-43bf-ae5a-9f29b00f4b10 · outbound

This paper cites Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-08T16:05:06.183843Z

Source-reported events for the cited work

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

Observation efc57ee0-1424-4ee8-9ea3-d4ee18f5e6b5 · outbound

This paper cites 2025.URL:https://arxiv.org/abs/2311.13721.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries 2025.URL:https://arxiv.org/abs/2311.13721

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-08T16:05:06.199429Z

Source-reported events for the cited work

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

Observation 76f377d7-2178-403e-8b7c-7f0afed160f2 · outbound

This paper cites Scaling Laws for Neural Language Models.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Scaling Laws for Neural Language Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-08T16:05:06.178734Z

Source-reported events for the cited work

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

Observation 810cc935-21ac-4c60-a805-1b60e4e8ea39 · outbound

This paper cites an unresolved cited work.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-07-08T16:05:06.465692Z

Source-reported events for the cited work

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

Observation 165cf5e1-db67-4dfa-946c-db1e1db98d21 · outbound

This paper cites Lacomis et al., ``DIRE: A Neural Approach to Decompiled Identifier Naming,'' in Proc.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Lacomis et al., ``DIRE: A Neural Approach to Decompiled Identifier Naming,'' in Proc

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.460888Z

Source-reported events for the cited work

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

Observation f6886b0e-c833-4f66-ab21-3a8b102a6d85 · outbound

This paper cites Liu et al., ``DoRA: Weight-Decomposed Low-Rank Adaptation,'' in Proc.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Liu et al., ``DoRA: Weight-Decomposed Low-Rank Adaptation,'' in Proc

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.464064Z

Source-reported events for the cited work

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

Observation 5a238931-870e-485b-88db-d1c2a0914252 · outbound

This paper cites Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-08T16:05:06.181526Z

Source-reported events for the cited work

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

Observation e8056652-2128-43c2-bada-fcbc0bee8a56 · outbound

This paper cites Muennighoff et al., ``Crosslingual Generalization through Multitask Finetuning,'' in Proc.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Muennighoff et al., ``Crosslingual Generalization through Multitask Finetuning,'' in Proc

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.456018Z

Source-reported events for the cited work

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

Observation ea4009e3-530a-4726-84dc-4620d2ad0877 · outbound

This paper cites an unresolved cited work.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-07-08T16:05:06.462493Z

Source-reported events for the cited work

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

Observation 443eabcd-f1d7-42e4-893b-d26c167d084c · outbound

This paper cites Ren et al., ``CodeBLEU: a Method for Automatic Evaluation of Code Synthesis,'' in Proc.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Ren et al., ``CodeBLEU: a Method for Automatic Evaluation of Code Synthesis,'' in Proc

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.454264Z

Source-reported events for the cited work

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

Observation 1992dfab-8c3b-4efa-b0a0-304abcd55710 · outbound

This paper cites Tan et al., ``LLM4Decompile: Decompiling Binary Code with Large Language Models,'' in Proc.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Tan et al., ``LLM4Decompile: Decompiling Binary Code with Large Language Models,'' in Proc

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.457679Z

Source-reported events for the cited work

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

Observation 5944b232-f51d-4724-81f7-8e9ff7e7aa2a · outbound

This paper cites Sk2decompile: Llm-based two-phase binary decompilation from skele- ton to skin.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Sk2decompile: Llm-based two-phase binary decompilation from skele- ton to skin

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-08T16:05:06.186418Z

Source-reported events for the cited work

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

Observation 16063c4b-1453-4dee-8222-bfb7ef44abf1 · outbound

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

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Refining Decompiled C Code with Large Language Models

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-08T16:05:06.173594Z

Source-reported events for the cited work

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

Observation c3db799d-3329-4637-abae-9a8fdb3505c1 · outbound

This paper cites Xu et al., ``Unleashing the Power of Generative Model in Recovering Variable Names from Stripped Binary,'' in Proc.

Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Xu et al., ``Unleashing the Power of Generative Model in Recovering Variable Names from Stripped Binary,'' in Proc

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:05:06.459285Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.