Paper Citation Record · LEDGER

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs

As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2504.15080.

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

pith.paper-citation-record.v1
2504.15080 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:37:32.713825Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

43 of 43 outbound references displayed

verified exact3
verified fuzzy25
unresolved15
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45cbc7a9-ae87-406c-968d-0d027ed6e1d3 · outbound

This paper cites Demystifying parallel and distributed deep learning: An in-depth concurrency analysis,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Demystifying parallel and distributed deep learning: An in-depth concurrency analysis,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.381747Z

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Observation 7c327a23-ec50-4b19-9e59-a2de6779b13b · outbound

This paper cites Attention is all you need,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Attention is all you need,

Reference 2

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Observation 005cca43-d642-47fc-9393-4aaf59b851e5 · outbound

This paper cites Deep learning for computer vision: A brief review,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Deep learning for computer vision: A brief review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.358793Z

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Observation d12374dc-c935-40bd-b076-7d6823ebff28 · outbound

This paper cites Recent trends in deep learning based natural language processing,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Recent trends in deep learning based natural language processing,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.345370Z

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Observation 647edb0a-5370-4074-baa8-b1e510d29244 · outbound

This paper cites Large language models for software engineer- ing: A systematic literature review,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Large language models for software engineer- ing: A systematic literature review,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.332037Z

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Observation f3d2f580-2c21-4695-b6f2-fceccba5fc70 · outbound

This paper cites Competition-level code generation with alphacode,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Competition-level code generation with alphacode,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.317644Z

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Observation ba577580-2e8a-4d09-bf9b-f526a77177d1 · outbound

This paper cites Multi-task learning based pre-trained language model for code completion,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Multi-task learning based pre-trained language model for code completion,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.302705Z

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Observation e9f334f7-969a-4e16-9f5f-a1113ec1ee62 · outbound

This paper cites Intellicode compose: code generation using transformer,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Intellicode compose: code generation using transformer,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.288525Z

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Observation d84e982b-6dd1-4293-9a61-323221e500d2 · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.274544Z

Source-reported events for the cited work

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Observation d5e5c01e-1ec0-41d4-8628-dff41a7fae98 · outbound

This paper cites Self-collaboration code generation via chatgpt,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Self-collaboration code generation via chatgpt,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.260790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a915aa54-f9f4-4974-994b-d99d4197aa93 · outbound

This paper cites Codereval: A benchmark of pragmatic code generation with generative pre-trained models,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Codereval: A benchmark of pragmatic code generation with generative pre-trained models,

Reference 11

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Source-reported events for the cited work

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Observation fb1517dc-0046-48c0-89ae-21f21cd6dbae · outbound

This paper cites Evaluating ChatGPT-3.5 Efficiency in Solving Coding Problems of Different Complexity Levels: An Empirical Analysis.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Evaluating ChatGPT-3.5 Efficiency in Solving Coding Problems of Different Complexity Levels: An Empirical Analysis

Reference 12

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Source-reported events for the cited work

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Observation 7e30e3a5-9f82-4af2-84e7-5889165a91ac · outbound

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

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Chain-of-thought prompting elicits reasoning in large language models,

Reference 13

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Source-reported events for the cited work

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Observation 0db185f1-d95a-437b-8590-6822264c6aa4 · outbound

This paper cites Structured chain-of-thought prompting for code generation,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Structured chain-of-thought prompting for code generation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.223564Z

Source-reported events for the cited work

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Observation abfd8f52-69ad-4f9e-a33c-d1025fde4dd4 · outbound

This paper cites Automatic chain of thought prompting in large language models,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Automatic chain of thought prompting in large language models,

Reference 15

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Observation b9f99e75-58d7-4069-88d3-3d2b1abde399 · outbound

This paper cites Self-planning code generation with large language models,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Self-planning code generation with large language models,

Reference 16

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Source-reported events for the cited work

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Observation 955aef85-0c17-4cc8-9fde-c9734315d44e · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.189426Z

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Observation 374cd4a1-02d5-40c2-811c-ce1a579f40a5 · outbound

This paper cites The WEKA data mining software: an update,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs The WEKA data mining software: an update,

Reference 18

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Observation e393146a-7cdc-4738-b1de-c9ccfa01a780 · outbound

This paper cites Dash: A low code development platform for AI applications in industry,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Dash: A low code development platform for AI applications in industry,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.160583Z

Source-reported events for the cited work

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Observation 3c323bf7-4ff8-4e46-84ee-b79be4fa301e · outbound

This paper cites The PHOTON Wizard -- Towards Educational Machine Learning Code Generators.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs The PHOTON Wizard -- Towards Educational Machine Learning Code Generators

Reference 20

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Observation ba69c3e9-0d04-487e-87f8-074a1c1e01f9 · outbound

This paper cites AI for low-code for AI,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs AI for low-code for AI,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.145579Z

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Observation 43e1aeeb-058e-4f1a-bf9b-f197aff62b2f · outbound

This paper cites Large Language Models Synergize with Automated Machine Learning.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Large Language Models Synergize with Automated Machine Learning

Reference 22

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Observation ea659a7f-dae2-4398-8ce6-edfb9c575885 · outbound

This paper cites Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey

Reference 23

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Observation 5e24689a-1ca5-4c3d-b422-9ee65a0e7185 · outbound

This paper cites AutoML-GPT: Automatic Machine Learning with GPT.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs AutoML-GPT: Automatic Machine Learning with GPT

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:37:32.634842Z

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Observation e3636e0f-8482-42a5-9155-f51b39ba5265 · outbound

This paper cites Mlcopilot: Unleashing the power of large language models in solving machine learning tasks,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Mlcopilot: Unleashing the power of large language models in solving machine learning tasks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.131477Z

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Observation 00095c26-e795-4416-9558-2225137b1728 · outbound

This paper cites Hugginggpt: Solving AI tasks with chatgpt and its friends in hugging face,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Hugginggpt: Solving AI tasks with chatgpt and its friends in hugging face,

Reference 26

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Observation 173b0a75-afc6-4e97-b141-493acbc88d64 · outbound

This paper cites Plan- and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Plan- and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.107753Z

Source-reported events for the cited work

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Observation 9c0bc9ff-6f78-4ce5-987c-3b524c1e1afc · outbound

This paper cites Debug like a human: A large language model debugger via verifying runtime execution step by step,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Debug like a human: A large language model debugger via verifying runtime execution step by step,

Reference 28

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Observation eccd9d01-8912-4861-aefe-709c8081a2a1 · outbound

This paper cites SelfEvolve: A Code Evolution Framework via Large Language Models.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs SelfEvolve: A Code Evolution Framework via Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:37:32.655568Z

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Observation 5a868ac6-baf2-4fb4-968d-b3b490a5f8dd · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 30

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Observation 11672e35-d089-42af-83c5-da19d38fb600 · outbound

This paper cites Towards continual knowledge learning of language models,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Towards continual knowledge learning of language models,

Reference 31

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Observation f368b7d2-3e36-42ca-96b1-321a9ebb8b97 · outbound

This paper cites Retrieval augmented code generation and summarization,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Retrieval augmented code generation and summarization,

Reference 32

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Observation 42e62a6d-cdaa-4c47-be1f-2b3b510fba13 · outbound

This paper cites Reacc: A retrieval-augmented code completion framework,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Reacc: A retrieval-augmented code completion framework,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.053195Z

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Observation 67403206-8e1b-4786-b947-5e4b68df26b2 · outbound

This paper cites Retrieval-based prompt selec- tion for code-related few-shot learning,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Retrieval-based prompt selec- tion for code-related few-shot learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.037687Z

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Observation 858267b2-232c-439e-83c1-827874cbe73b · outbound

This paper cites Docprompting: Generating code by retrieving the docs,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Docprompting: Generating code by retrieving the docs,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.023562Z

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Observation f9d226e8-cfe2-431b-816e-b905d896a385 · outbound

This paper cites Okapi at trec-3,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Okapi at trec-3,

Reference 36

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Observation e4c372d3-c85c-4fba-99f5-63b4038b55e1 · outbound

This paper cites Learning by thinking in natural and artificial minds,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Learning by thinking in natural and artificial minds,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:33.000089Z

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Observation 609f597d-82fd-4ced-b07a-a1734188ec82 · outbound

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

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 38

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Observation 1452f4c2-0deb-4dbc-9cc1-155a81b50672 · outbound

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

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Bleu: a method for automatic evaluation of machine translation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:32.985067Z

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Observation 94d84692-72fd-4fd2-a13d-d35219fcf6e0 · outbound

This paper cites Infere: Step-by-step regex generation via chain of inference,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Infere: Step-by-step regex generation via chain of inference,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:37:32.969472Z

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Observation ceb5a43e-1407-4a9b-858c-08849e4b5ca2 · outbound

This paper cites Neural Machine Translation for Mathematical Formulae.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Neural Machine Translation for Mathematical Formulae

Reference 41

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Source-reported events for the cited work

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Observation 1115c13f-6410-4508-ab1d-c0dbdc47110c · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 42

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Observation 5bd96fce-6d0b-42f7-b490-772470ef2ed3 · outbound

This paper cites Meta kaggle code,.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Meta kaggle code,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T11:37:32.713825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.