Paper Citation Record · LEDGER

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2501.16692.

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

pith.paper-citation-record.v1
2501.16692 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:26:57.829198Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T12:06:50.635891Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

40 of 40 outbound references displayed

verified exact2
verified fuzzy9
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b774e323-9866-4f7e-8620-f46c930a3e4a · outbound

This paper cites Utilizing Deep Learning to Optimize Software Development Processes.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Utilizing Deep Learning to Optimize Software Development Processes

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:26:58.314153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 614fb13d-81df-48b7-bbbc-48c6fa1a98ea · outbound

This paper cites Learning Performance-Improving Code Edits.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Learning Performance-Improving Code Edits

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.699026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82a4fcae-1a0c-4b3c-beed-3c4efb96c458 · outbound

This paper cites Search-based llms for code optimization,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Search-based llms for code optimization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:26:58.459195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53ca7edd-7942-4d1d-b26f-1efd0d2ac11b · outbound

This paper cites JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.706661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c731b3b-1bd8-431d-bf7f-1619509f4a7a · outbound

This paper cites How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.710732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 914cf1c0-4b97-4278-a733-e9d0e8fc33d7 · outbound

This paper cites LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.715168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab82d0b-ef58-40bf-b112-0fd640466e3c · outbound

This paper cites Static Code Analysis in the AI Era: An In-depth Exploration of the Concept, Function, and Potential of Intelligent Code Analysis Agents.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Static Code Analysis in the AI Era: An In-depth Exploration of the Concept, Function, and Potential of Intelligent Code Analysis Agents

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.719599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c56c550f-256f-4ade-8be5-9d9fedca9c01 · outbound

This paper cites Frustrated with Code Quality Issues? LLMs can Help!.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Frustrated with Code Quality Issues? LLMs can Help!

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.723726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa7f4c0c-3e14-4dad-8056-69bd80a5d806 · outbound

This paper cites Using an llm to help with code understanding,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Using an llm to help with code understanding,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.727362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2b26859-57a6-4093-8c15-bba62602bf29 · outbound

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

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.730680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b05382f-6abe-4e92-849c-73afbe48adec · outbound

This paper cites GPT-4o System Card.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation GPT-4o System Card

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.734290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6491a4f-bf05-4564-a579-45d32296a9be · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.737906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0104ff-b3d0-443c-bce2-1810a04d3bdb · outbound

This paper cites Do machines and humans focus on similar code? exploring explainability of large language models in code summarization,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Do machines and humans focus on similar code? exploring explainability of large language models in code summarization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:26:58.441190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 28d4b9c9-f677-4f51-8560-abd306f01f74 · outbound

This paper cites Modeling programmer attention as scanpath prediction,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Modeling programmer attention as scanpath prediction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:26:58.429786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21b37bf2-dc66-481c-9b11-8efc3826062c · outbound

This paper cites Eyetrans: Merging human and machine attention for neural code summarization,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Eyetrans: Merging human and machine attention for neural code summarization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:26:58.419798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01857d13-d3c0-4f06-80d1-f1757e70cefd · outbound

This paper cites A tale of two comprehensions? analyzing student programmer attention during code summarization,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation A tale of two comprehensions? analyzing student programmer attention during code summarization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:26:58.409383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 10b248a5-265c-48fd-9db6-fdebd0a4abfc · outbound

This paper cites Pre-training representations of binary code using contrastive learning,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Pre-training representations of binary code using contrastive learning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.755198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d54a3814-4c9a-4cf2-8230-82888d329f4d · outbound

This paper cites Leveraging artificial intelligence on binary code comprehen- sion,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Leveraging artificial intelligence on binary code comprehen- sion,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:26:58.398038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b089cf34-51d0-442a-aaac-35af9bb8acce · outbound

This paper cites RAG-Enhanced Commit Message Generation.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation RAG-Enhanced Commit Message Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.761898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8f28cff-0a28-40e2-9f46-3c1e5874e77f · outbound

This paper cites Prompt-based Code Completion via Multi-Retrieval Augmented Generation.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Prompt-based Code Completion via Multi-Retrieval Augmented Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.764927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a60e9fe-7fe2-492b-8f13-bdefb502922a · outbound

This paper cites Evaluating retrieval-augmented generation (rag) tech- niques in enhancing lms for coding tasks,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Evaluating retrieval-augmented generation (rag) tech- niques in enhancing lms for coding tasks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:26:58.387434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73424439-8803-40fc-bcd1-3c420d978c51 · outbound

This paper cites MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:26:57.949653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0cd5785-91bb-4434-ae21-504cb702b43a · outbound

This paper cites Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.773967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f83f313-ad5e-42b3-948b-b1685c670e2a · outbound

This paper cites EVOR: Evolving Retrieval for Code Generation.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation EVOR: Evolving Retrieval for Code Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.777197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 530ba084-3712-4476-8208-766584fc33aa · outbound

This paper cites CodeRAG-Bench: Can Retrieval Augment Code Generation?.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.780507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d089230e-6df4-4340-9252-fce46def9a32 · outbound

This paper cites Llm-based and retrieval-augmented control code generation,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Llm-based and retrieval-augmented control code generation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.783723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 855eaf32-d694-40a6-8b76-edc364de9bb1 · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation A survey on rag meeting llms: Towards retrieval-augmented large language models,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.786962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa9b542-1d8d-4ab3-bba5-d307acd02977 · outbound

This paper cites Retrieval-Augmented Generation for AI-Generated Content: A Survey.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.790111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1988903-7601-438e-8a5d-36390cde1f7e · outbound

This paper cites What makes good examples for visual in-context learning?.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation What makes good examples for visual in-context learning?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.793716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e29aab4-62c6-428f-9adb-d6ab72c1910c · outbound

This paper cites The learnability of in-context learning,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation The learnability of in-context learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:26:58.358795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9924fd90-9246-48ce-b8c7-76dd6ec456fc · outbound

This paper cites Compositional exemplars for in-context learning,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Compositional exemplars for in-context learning,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.799975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a021b10a-0455-4b6d-a7c4-416b66c592ca · outbound

This paper cites Finding Support Examples for In-Context Learning.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Finding Support Examples for In-Context Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.803071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c771b63e-d2ec-4cc6-84e0-8e204cb6e895 · outbound

This paper cites Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.806487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 717425e1-96bf-45e6-a91c-13eb620177ea · outbound

This paper cites In-Context Unlearning: Language Models as Few Shot Unlearners.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.809808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4af7f9ee-5c79-4e30-878c-0714bbc93380 · outbound

This paper cites Evaluating the effectiveness of deep learning models for foundational program analysis tasks,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Evaluating the effectiveness of deep learning models for foundational program analysis tasks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:26:58.342588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f9c788f-9d34-45b9-ae83-cc596946169f · outbound

This paper cites Enchanting program specification synthesis by large language models using static analysis and program verification,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Enchanting program specification synthesis by large language models using static analysis and program verification,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.816366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b44e91bc-2c0f-4ecf-be9b-b3c2a3049989 · outbound

This paper cites Measuring the Runtime Performance of C++ Code Written by Humans using GitHub Copilot.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Measuring the Runtime Performance of C++ Code Written by Humans using GitHub Copilot

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.819619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 856c888f-ca99-42ba-9a52-3f0d32c44e11 · outbound

This paper cites Detecting code comment inconsistencies using llm and program analysis,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Detecting code comment inconsistencies using llm and program analysis,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.822973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 018d256f-5ab8-41ec-8426-965b942cbb50 · outbound

This paper cites Codeplan: Repository-level coding using llms and planning,.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Codeplan: Repository-level coding using llms and planning,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.826026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9de8837-8944-4c3a-8b9e-f0372e842ffd · outbound

This paper cites A Multi-Agent Approach to Fault Localization via Graph-Based Retrieval and Reflexion.

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation A Multi-Agent Approach to Fault Localization via Graph-Based Retrieval and Reflexion

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:57.829198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f0ed5981-3474-458c-a84a-1fb00fcb4255 · inbound

Coding with Eyes: Visual Feedback Unlocks Reliable GUI Code Generating and Debugging cites this paper.

Coding with Eyes: Visual Feedback Unlocks Reliable GUI Code Generating and Debugging Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:09:59.525520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4581dc6-caa5-4293-b158-81654cf7a301 · inbound

Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery cites this paper.

Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:01:11.720646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.