Paper Citation Record · LEDGER

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.22066.

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

pith.paper-citation-record.v1
2507.22066 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:45:45.214243Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

24 of 24 outbound references displayed

verified exact1
verified fuzzy17
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7dff131-a65c-4da9-b233-fcd6237631d8 · outbound

This paper cites The adverse effects of code duplication in machine learning models of code,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation The adverse effects of code duplication in machine learning models of code,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:47.907652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ff54b32e-de31-451d-989f-fe48768f541b · outbound

This paper cites Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:43.234868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6846a24-d9f8-4807-ae44-36f08b890f49 · outbound

This paper cites A plea for utilising synthetic data when performing machine learning based cyber-security experiments,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation A plea for utilising synthetic data when performing machine learning based cyber-security experiments,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:47.808628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e77bb490-dd38-4087-b763-b8180bffbbd1 · outbound

This paper cites tree-sitter/tree-sitter: An incremental parsing system for programming tools,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation tree-sitter/tree-sitter: An incremental parsing system for programming tools,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:47.650692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b322895-3e56-43c6-a1a1-a97fec665a8e · outbound

This paper cites srcml: An infrastructure for the exploration, analysis, and manipulation of source code: A tool demonstration,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation srcml: An infrastructure for the exploration, analysis, and manipulation of source code: A tool demonstration,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:47.523052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1ebae983-08dd-431a-be8a-b27de22b6b95 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:43.630296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed3b8603-9405-4e39-833a-a0d6c8fee8c9 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:43.705962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5626b34-f595-4085-b305-7b0fba338f72 · outbound

This paper cites The stack: A 6.4 tb dataset of permissively licensed source code,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation The stack: A 6.4 tb dataset of permissively licensed source code,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:47.391483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e9eb9be-c4bf-4961-adc9-8a16cbc817ce · outbound

This paper cites CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:43.866985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38d52c57-f0d7-46f1-98cd-8bc344e53a77 · outbound

This paper cites A Survey of Machine Learning Methods and Challenges for Windows Malware Classification.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation A Survey of Machine Learning Methods and Challenges for Windows Malware Classification

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:43.953592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1375f02-2cd0-4d89-b1c7-cbef55919140 · outbound

This paper cites An investigation of online reverse engineering community discussions of ghidra,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation An investigation of online reverse engineering community discussions of ghidra,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:47.240218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b23f07b-1e06-4133-a362-540425fd7c8b · outbound

This paper cites Ida pro: The interactive disassembler,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation Ida pro: The interactive disassembler,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:47.124098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 086acfac-7bd2-49c4-937d-893353b6f894 · outbound

This paper cites Xda: Accurate, robust disassembly with transfer learning,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation Xda: Accurate, robust disassembly with transfer learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:47.019780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e588517d-4fb9-4d63-89db-919417c1b499 · outbound

This paper cites LLM4Decompile: Decompiling Binary Code with Large Language Models.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:44.343567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 334eab02-8b26-45e5-a07b-23d8c01a3e14 · outbound

This paper cites Extending source code pre-trained language models to summarise decompiled binaries,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation Extending source code pre-trained language models to summarise decompiled binaries,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:46.928426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1d27fff-4509-4019-ab18-414c6749de82 · outbound

This paper cites Assemblage: Automatic binary dataset construction for machine learning,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation Assemblage: Automatic binary dataset construction for machine learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:46.818213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5830ead-5d36-419a-b127-59121772deac · outbound

This paper cites Sourcefinder: Finding malware source-code from publicly available repositories in github,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation Sourcefinder: Finding malware source-code from publicly available repositories in github,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:46.671397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 634750c3-f6a0-4fbf-bec5-8266de7d95ea · outbound

This paper cites pandas: a foundational python library for data analysis and statistics,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation pandas: a foundational python library for data analysis and statistics,

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:45:45.486983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 99ebe419-df15-49b4-8ee8-f435c7cffd5c · outbound

This paper cites Prefect: The modern workflow orchestration framework,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation Prefect: The modern workflow orchestration framework,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:46.537837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc6e1b7c-34b3-4d4f-a0c2-55b3f19af56c · outbound

This paper cites libhv: A cross-platform c network library,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation libhv: A cross-platform c network library,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:46.340022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 13a9b959-fbd2-4a22-98e5-e638b5508963 · outbound

This paper cites Binary ninja: Reverse engineering platform,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation Binary ninja: Reverse engineering platform,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:46.077012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3e369f47-dc5f-48a9-b9ab-11f7ee4ba7e8 · outbound

This paper cites Radare2: Open-source reverse engineering framework,.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation Radare2: Open-source reverse engineering framework,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:45.902963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6a86c30c-1a14-4f0b-bfb9-6ffb9f930928 · outbound

This paper cites Available: https://rada.re/n.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation Available: https://rada.re/n

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:45.739907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6dc4f81-8bb4-4c36-835f-6e6b0d881c30 · outbound

This paper cites Available: https://github.com/ithewei/libhv.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation Available: https://github.com/ithewei/libhv

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:45:46.203842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.