Paper Citation Record · LEDGER

Finetuning Lightweight LLMs for Control Flow Graph Generation

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.04582.

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

pith.paper-citation-record.v1
2607.04582 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T16:55:02.189375Z

measured 32 of 32 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

32 of 32 outbound references displayed

verified exact1
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfb06e37-39ff-4cb1-ba29-1cf412de0893 · outbound

This paper cites You are a control flow graph generator. Task: Generate the Control Flow Graph (CFG) for the given method.

Finetuning Lightweight LLMs for Control Flow Graph Generation You are a control flow graph generator. Task: Generate the Control Flow Graph (CFG) for the given method

Reference 1

Resolution: verified exact; doi, observed 2026-07-11T16:58:08.814787Z

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 9ddcfd1d-93d9-4d39-8998-7f6465e98b42 · outbound

This paper cites Control flow analysis,.

Finetuning Lightweight LLMs for Control Flow Graph Generation Control flow analysis,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d68e6294-85fd-405d-b313-d9d27d6cb025 · outbound

This paper cites Constructing more complete control flow graphs utilizing directed gray-box fuzzing,.

Finetuning Lightweight LLMs for Control Flow Graph Generation Constructing more complete control flow graphs utilizing directed gray-box fuzzing,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9add25c1-2f72-449a-9bcc-6d4d9e28be84 · outbound

This paper cites WALA: Static analysis framework for Java.

Finetuning Lightweight LLMs for Control Flow Graph Generation WALA: Static analysis framework for Java

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcfa8470-ca01-4c9a-bddf-23ae00764406 · outbound

This paper cites Soot: A Java bytecode optimization framework,.

Finetuning Lightweight LLMs for Control Flow Graph Generation Soot: A Java bytecode optimization framework,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a950f9-7472-42d8-967c-9c90edeed3dc · outbound

This paper cites Spoon: A library for implementing analyses and transformations of Java source code,.

Finetuning Lightweight LLMs for Control Flow Graph Generation Spoon: A library for implementing analyses and transformations of Java source code,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6587595-6756-44b0-b6a3-cef27ae83d4d · outbound

This paper cites AI Chain on Large Language Model for Unsupervised Control Flow Graph Generation for Statically-Typed Partial Code.

Finetuning Lightweight LLMs for Control Flow Graph Generation AI Chain on Large Language Model for Unsupervised Control Flow Graph Generation for Statically-Typed Partial Code

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee7e1d57-aad0-4fda-8649-33939188ea66 · outbound

This paper cites A control flow graph generation method for Java projects,.

Finetuning Lightweight LLMs for Control Flow Graph Generation A control flow graph generation method for Java projects,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4444136-7ccb-46ba-9668-5a2d930724de · outbound

This paper cites Large language models for software engineering: A systematic literature review,.

Finetuning Lightweight LLMs for Control Flow Graph Generation Large language models for software engineering: A systematic literature review,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e3456e-1897-4057-a93d-8d2603b7386c · outbound

This paper cites Survey of hallucination in natural language generation,.

Finetuning Lightweight LLMs for Control Flow Graph Generation Survey of hallucination in natural language generation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3087c3ed-e92c-4eb8-9d4d-cc945795c384 · outbound

This paper cites Faithful Reasoning Using Large Language Models.

Finetuning Lightweight LLMs for Control Flow Graph Generation Faithful Reasoning Using Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b587a9f-189d-4e17-a4eb-5952a407b81a · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Finetuning Lightweight LLMs for Control Flow Graph Generation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05c4d2ac-f3ba-4345-acd2-8d3c1fb0e657 · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

Finetuning Lightweight LLMs for Control Flow Graph Generation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea0fe45-1707-44c5-b6e7-3c93074c78ed · outbound

This paper cites Capturing source code semantics via tree- based convolution over API-enhanced AST,.

Finetuning Lightweight LLMs for Control Flow Graph Generation Capturing source code semantics via tree- based convolution over API-enhanced AST,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cef2ad9-a682-4d2e-a847-0a25307b6031 · outbound

This paper cites Detecting code clones with graph neural network and flow-augmented abstract syntax tree,.

Finetuning Lightweight LLMs for Control Flow Graph Generation Detecting code clones with graph neural network and flow-augmented abstract syntax tree,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8e84852-2abe-4600-97bf-584ca96e14df · outbound

This paper cites Deep code comment generation,.

Finetuning Lightweight LLMs for Control Flow Graph Generation Deep code comment generation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de1a51b2-0889-4e18-a048-89d638b262f0 · outbound

This paper cites Supervised deep features for software functional clone detection by exploiting lexical and syntactical information in source code,.

Finetuning Lightweight LLMs for Control Flow Graph Generation Supervised deep features for software functional clone detection by exploiting lexical and syntactical information in source code,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f038cb3-af51-4545-8814-1136a25ee1d0 · outbound

This paper cites ModularTree network for source code representation learning,.

Finetuning Lightweight LLMs for Control Flow Graph Generation ModularTree network for source code representation learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6baf8967-0ec3-4796-930e-c9d36c3533a5 · outbound

This paper cites A novel neural source code representation based on abstract syntax tree,.

Finetuning Lightweight LLMs for Control Flow Graph Generation A novel neural source code representation based on abstract syntax tree,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7967164c-019d-49d3-b806-f5c040df0f24 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Finetuning Lightweight LLMs for Control Flow Graph Generation Evaluating Large Language Models Trained on Code

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2620a384-4fa6-4f98-a844-08a371e88ffb · outbound

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

Finetuning Lightweight LLMs for Control Flow Graph Generation Code Llama: Open Foundation Models for Code

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 143c52a8-63e7-475f-b7ce-bb0d0774bf4d · outbound

This paper cites Qwen2.5-Coder Technical Report.

Finetuning Lightweight LLMs for Control Flow Graph Generation Qwen2.5-Coder Technical Report

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4497f1e-c981-42c4-bf8d-b1039873de55 · outbound

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

Finetuning Lightweight LLMs for Control Flow Graph Generation DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c52d9ab6-c16a-4422-968b-ebd2a66f3457 · outbound

This paper cites Graphviz—Open source graph drawing tools,.

Finetuning Lightweight LLMs for Control Flow Graph Generation Graphviz—Open source graph drawing tools,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f96aaab-d3a4-483f-90b5-f976d6aae843 · outbound

This paper cites Available: https://py2cfg.readthedocs.io/ [Accessed: Jan.

Finetuning Lightweight LLMs for Control Flow Graph Generation Available: https://py2cfg.readthedocs.io/ [Accessed: Jan

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e5976e5-b3f6-42ee-bf48-d81b2d7093aa · outbound

This paper cites Claude Code.

Finetuning Lightweight LLMs for Control Flow Graph Generation Claude Code

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52250e4c-c723-4ca2-a68c-833ac6235a5a · outbound

This paper cites greengerong/leetcode dataset.

Finetuning Lightweight LLMs for Control Flow Graph Generation greengerong/leetcode dataset

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 221b6a5a-7fe2-4285-a294-ff2e862e41f6 · outbound

This paper cites Available: https://tree -sitter.github.io/](https://tree- sitter.github.io/.

Finetuning Lightweight LLMs for Control Flow Graph Generation Available: https://tree -sitter.github.io/](https://tree- sitter.github.io/

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01c080b3-8551-4d3c-bcc7-33fe31a7fbc1 · outbound

This paper cites [Online].

Finetuning Lightweight LLMs for Control Flow Graph Generation [Online]

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd1c41f3-9d11-4350-a223-730f716a249e · outbound

This paper cites Llama 3.2.

Finetuning Lightweight LLMs for Control Flow Graph Generation Llama 3.2

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f74bcd7-b790-4f88-bb48-c7bc2272026b · outbound

This paper cites Phi -4-mini-instruct.

Finetuning Lightweight LLMs for Control Flow Graph Generation Phi -4-mini-instruct

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54728be1-fd82-40a0-8edf-1112c025fe49 · outbound

This paper cites Qwen3 -4B.

Finetuning Lightweight LLMs for Control Flow Graph Generation Qwen3 -4B

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T16:55:02.189375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.