Paper Citation Record · LEDGER

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension

As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2412.00314.

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

pith.paper-citation-record.v1
2412.00314 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:35:51.340765Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:24:28.140998Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:24:28.418595Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 752027d0-541b-4e23-9dde-d15fe79095bc · outbound

This paper cites Who judges the judge: An empirical study on online judge tests,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Who judges the judge: An empirical study on online judge tests,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:35:52.039866Z

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Observation f02cab78-82c1-40ef-93de-817ed722b6ba · outbound

This paper cites Automatic source code evaluation test develop- ment in programming education using grey-box methods,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Automatic source code evaluation test develop- ment in programming education using grey-box methods,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:35:52.022557Z

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Observation e6d004e8-46e5-4149-a0f6-ebf5bbbd1cc2 · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 3

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Observation f6f2a5a7-d864-428e-b609-d78100806a24 · outbound

This paper cites Coderl: Mastering code generation through pretrained models and deep reinforcement learning,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Coderl: Mastering code generation through pretrained models and deep reinforcement learning,

Reference 4

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Observation deb65a93-2211-412d-927b-f870e39d239f · outbound

This paper cites Large language models meet nl2code: A survey,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Large language models meet nl2code: A survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:35:51.993817Z

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Observation 1cd7d9a5-1049-42db-9821-3db990e28abc · outbound

This paper cites CodeScore: Evaluating Code Generation by Learning Code Execution.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension CodeScore: Evaluating Code Generation by Learning Code Execution

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T05:35:51.144229Z

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Observation 3992f1cc-c07c-4b5e-aa1b-3b96311eb678 · outbound

This paper cites Spoc: Search-based pseudocode to code,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Spoc: Search-based pseudocode to code,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T05:35:51.150080Z

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Observation c0bd294d-bee7-4eb8-a74d-6da231ae2dd3 · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Measuring Coding Challenge Competence With APPS

Reference 8

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Observation 1a5342d1-b826-470c-ab36-4e52373ada91 · outbound

This paper cites Out of the bleu: how should we assess quality of the code generation models?.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Out of the bleu: how should we assess quality of the code generation models?

Reference 9

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Observation 1287646d-da8b-41d5-8c8c-112888733f82 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Bleu: a method for automatic evaluation of machine translation,

Reference 10

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Observation c60260b5-3f25-40ea-a253-c423b5844166 · outbound

This paper cites A package for automatic evaluation of summaries,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension A package for automatic evaluation of summaries,

Reference 11

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Observation cdd5a12a-ef2c-468e-ac8c-754a3cc599ff · outbound

This paper cites Does bleu score work for code migration?.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Does bleu score work for code migration?

Reference 12

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Observation f5dc2978-eab1-4b94-8c2f-b83e9be49e99 · outbound

This paper cites CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code

Reference 13

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This paper cites CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 14

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Observation b00d2833-ff52-4abf-b2af-97f2860c9cfc · outbound

This paper cites chrf: character n-gram f-score for automatic mt evalu- ation,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension chrf: character n-gram f-score for automatic mt evalu- ation,

Reference 15

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 16

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Observation a931a814-1e50-4419-8454-83330b2aedd9 · outbound

This paper cites ICE-Score: Instructing Large Language Models to Evaluate Code.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension ICE-Score: Instructing Large Language Models to Evaluate Code

Reference 17

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Observation fc582aaf-96ce-489c-bc10-abc4196325ca · outbound

This paper cites Learning to mine aligned code and natural language pairs from stack overflow,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Learning to mine aligned code and natural language pairs from stack overflow,

Reference 18

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Source-reported events for the cited work

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Observation dc7885f2-297a-4488-b3a4-02136c718eaa · outbound

This paper cites Latent Predictor Networks for Code Generation.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Latent Predictor Networks for Code Generation

Reference 19

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Observation 7b7dda7c-3b6a-4183-a7ec-cd239a5faef4 · outbound

This paper cites Towards a Unified Multi-Dimensional Evaluator for Text Generation.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Towards a Unified Multi-Dimensional Evaluator for Text Generation

Reference 20

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Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Survey of hallucination in natural language generation,

Reference 21

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Observation 911bbbca-0825-4cfd-aebe-06eb822312c4 · outbound

This paper cites Faithful Reasoning Using Large Language Models.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Faithful Reasoning Using Large Language Models

Reference 22

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Observation 38d12603-7d58-4eef-b6d8-a1b436fc1f86 · outbound

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

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 23

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Observation 15094510-9d6d-4464-adee-e218b43d67e8 · outbound

This paper cites Increasing employability of indian engineering graduates through experiential learning programs and competitive programming: Case study,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Increasing employability of indian engineering graduates through experiential learning programs and competitive programming: Case study,

Reference 24

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Observation d119ebda-43a2-480f-8312-099250ea6d70 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Evaluating Large Language Models Trained on Code

Reference 25

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Observation a7846e2d-37fc-4255-bb1b-7869fa9d4059 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Chain-of-thought prompting elicits reasoning in large language models,

Reference 26

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Observation faa84c3d-c7b7-4c30-b14c-c3d58d8170ad · outbound

This paper cites Fine-grained code clone detection with block-based splitting of abstract syntax tree,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Fine-grained code clone detection with block-based splitting of abstract syntax tree,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:35:51.843479Z

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Observation 4cdc6928-b329-4be6-a59f-0a6e3d58de07 · outbound

This paper cites Cocoast: Representing source code via hierarchical splitting and re- construction of abstract syntax trees,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Cocoast: Representing source code via hierarchical splitting and re- construction of abstract syntax trees,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:35:51.827289Z

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Observation d0f395a4-6c88-4b23-8d2e-8e074dec6c5f · outbound

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Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Blocsum: Block scope-based source code summarization via shared block representation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:35:51.809874Z

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This paper cites Openai gpt-3.5 turbo,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Openai gpt-3.5 turbo,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:35:51.791428Z

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Observation 2aeb5347-8c25-45fc-bcd5-f766c271daf2 · outbound

This paper cites Exploring security vulnerabilities in competitive programming: An empirical study,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Exploring security vulnerabilities in competitive programming: An empirical study,

Reference 31

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Observation 3ae686d0-9386-4566-837b-0b9fd98375a2 · outbound

This paper cites Multipl-e: A scalable and polyglot approach to benchmarking neural code generation,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Multipl-e: A scalable and polyglot approach to benchmarking neural code generation,

Reference 32

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Observation 69553955-b7c8-4108-a109-f3161c4fe0c0 · outbound

This paper cites Gpt-4: Language models at scale,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Gpt-4: Language models at scale,

Reference 33

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Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Openai gpt-4 turbo,

Reference 34

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This paper cites Meteor: An automatic metric for mt evalua- tion with improved correlation with human judgments,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Meteor: An automatic metric for mt evalua- tion with improved correlation with human judgments,

Reference 35

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Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Large lan- guage models are zero-shot reasoners,

Reference 36

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Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Language mod- els are few-shot learners,

Reference 37

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Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension A new measure of rank correlation,

Reference 38

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Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Pearson correlation coefficient,

Reference 39

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Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Likert scale: Explored and explained,

Reference 40

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Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Unsu- pervised translation of programming languages,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:35:51.641453Z

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Observation 98cca902-aa89-44ac-80d1-ee826433265b · outbound

This paper cites An empirical study of auto- mated unit test generation for python,.

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension An empirical study of auto- mated unit test generation for python,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:35:51.623676Z

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Observation 24059aa6-2376-47a7-9ebe-1ebf7aeeb741 · outbound

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Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension Can Large Language Models Be an Alternative to Human Evaluations?

Reference 43

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Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 44

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Pith citing papers

Observation 107c2bc4-bd65-498b-8a61-d813d5839c35 · inbound

FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection cites this paper.

FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension

Reference 16

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