Paper Citation Record · LEDGER

LLM Performance for Code Generation on Noisy Tasks

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.23598.

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

pith.paper-citation-record.v1
2505.23598 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:44.110888Z

measured 34 of 34 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

34 of 34 outbound references displayed

verified exact0
verified fuzzy14
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32113471-a8b7-4923-9850-9af0f4475126 · outbound

This paper cites Large Language Models for Software Engineering: A Systematic Literature Review.

LLM Performance for Code Generation on Noisy Tasks Large Language Models for Software Engineering: A Systematic Literature Review

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:40.068254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f742216-4b78-4527-a46f-d1860c26499b · outbound

This paper cites The Current Challenges of Software Engineering in the Era of Large Language Models.

LLM Performance for Code Generation on Noisy Tasks The Current Challenges of Software Engineering in the Era of Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:40.184121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3ecf66b-b835-4348-9251-46c8cdb2961b · outbound

This paper cites LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs.

LLM Performance for Code Generation on Noisy Tasks LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:40.247629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f95a9a8-de2b-49fc-860b-37194df0a11e · outbound

This paper cites Math word problem solving on math leaderboard,.

LLM Performance for Code Generation on Noisy Tasks Math word problem solving on math leaderboard,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:48.092206Z

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 3b1f3e53-1f7c-4506-944b-f059231ae39c · outbound

This paper cites A performance study of llm-generated code on leetcode,.

LLM Performance for Code Generation on Noisy Tasks A performance study of llm-generated code on leetcode,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:40.473842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1745ef85-11e2-42cf-b5f8-97d61dd8a9e7 · outbound

This paper cites Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research.

LLM Performance for Code Generation on Noisy Tasks Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:40.600743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab20e1e-e862-4cfd-9f89-edea607bd9d5 · outbound

This paper cites Leetcode dataset,.

LLM Performance for Code Generation on Noisy Tasks Leetcode dataset,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:47.885113Z

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 ba28657e-6d91-4f2d-9d5f-655ba170c91b · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

LLM Performance for Code Generation on Noisy Tasks Measuring Mathematical Problem Solving With the MATH Dataset

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:40.821937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db0cddfe-a008-45a4-ae18-3d9528a862a4 · outbound

This paper cites Data Contamination Through the Lens of Time.

LLM Performance for Code Generation on Noisy Tasks Data Contamination Through the Lens of Time

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:40.967359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4387f9-e218-4af0-a674-4f10df6c376e · outbound

This paper cites Dynabench: Rethinking Benchmarking in NLP.

LLM Performance for Code Generation on Noisy Tasks Dynabench: Rethinking Benchmarking in NLP

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:41.067226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c3158d-32db-4027-9bb4-19bb3fdb2eed · outbound

This paper cites Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges.

LLM Performance for Code Generation on Noisy Tasks Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:41.204856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4b4295c-012c-4306-a64f-9614f6f4ede3 · outbound

This paper cites A Comprehensive Survey of Contamination Detection Methods in Large Language Models.

LLM Performance for Code Generation on Noisy Tasks A Comprehensive Survey of Contamination Detection Methods in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:41.334513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b258087-4b1d-4172-b964-beb4201d1fb9 · outbound

This paper cites Resilience of Large Language Models for Noisy Instructions.

LLM Performance for Code Generation on Noisy Tasks Resilience of Large Language Models for Noisy Instructions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:41.427522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14ec85f6-726c-4c66-92e6-cf86351984fe · outbound

This paper cites Measuring massive multitask language understanding,.

LLM Performance for Code Generation on Noisy Tasks Measuring massive multitask language understanding,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:41.565070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff095dd-c6d6-4c15-9c27-6d4ea8b62f07 · outbound

This paper cites Impact of noise on llm-models performance in abstraction and reasoning corpus (arc) tasks with model temperature considerations,.

LLM Performance for Code Generation on Noisy Tasks Impact of noise on llm-models performance in abstraction and reasoning corpus (arc) tasks with model temperature considerations,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:47.643527Z

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 9310f242-bb3b-4610-b5d4-0dfc4510c825 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

LLM Performance for Code Generation on Noisy Tasks Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:42.040015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec7ef6f0-768c-4196-b2de-863cf6d6e03b · outbound

This paper cites Datasets: A Community Library for Natural Language Processing.

LLM Performance for Code Generation on Noisy Tasks Datasets: A Community Library for Natural Language Processing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:42.162519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0342647e-a376-43a7-b107-d8ebe46ad4b9 · outbound

This paper cites Leetcode problemset,.

LLM Performance for Code Generation on Noisy Tasks Leetcode problemset,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:47.370907Z

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 80b652f8-998e-4fca-b228-c76a1f4664fe · outbound

This paper cites Math augmented dataset,.

LLM Performance for Code Generation on Noisy Tasks Math augmented dataset,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:47.191620Z

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 2e370611-a598-4830-90dc-6f6eeac107cf · outbound

This paper cites Demand for LLMs: Descriptive Evidence on Substitution, Market Expansion, and Multihoming.

LLM Performance for Code Generation on Noisy Tasks Demand for LLMs: Descriptive Evidence on Substitution, Market Expansion, and Multihoming

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:42.479403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a89e5806-0e9d-4826-b762-d17d37bb3a16 · outbound

This paper cites Openrouter: Unified api and playground for large lan- guage models,.

LLM Performance for Code Generation on Noisy Tasks Openrouter: Unified api and playground for large lan- guage models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:46.990726Z

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 0cf8612f-703d-4c01-a6a4-ca824f8a2d19 · outbound

This paper cites Claude 3 model card october ad- dendum,.

LLM Performance for Code Generation on Noisy Tasks Claude 3 model card october ad- dendum,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:46.814161Z

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 32ba1988-750b-4b99-962c-356c99ce6e07 · outbound

This paper cites Introducing deepseek-v3,.

LLM Performance for Code Generation on Noisy Tasks Introducing deepseek-v3,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:46.577130Z

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 26899376-76be-4aef-8469-b302ef4dfce0 · outbound

This paper cites Gemini 2.0 flash,.

LLM Performance for Code Generation on Noisy Tasks Gemini 2.0 flash,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:46.356669Z

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 2d0e6f62-328a-46b6-8b69-7dc52f4de629 · outbound

This paper cites Llama 3.3 70b instruct,.

LLM Performance for Code Generation on Noisy Tasks Llama 3.3 70b instruct,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:46.199596Z

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 2b1fb22a-a6f0-45bf-9af2-07c425797197 · outbound

This paper cites Gpt-4o-mini,.

LLM Performance for Code Generation on Noisy Tasks Gpt-4o-mini,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:46.078530Z

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 ec566a92-e435-4bc6-8eb7-23f91e20f791 · outbound

This paper cites Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval.

LLM Performance for Code Generation on Noisy Tasks Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:43.375530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d0b8d27-9cf4-43d6-86a3-e1ebd65050b8 · outbound

This paper cites Keeping an eye on dangerous python modules,.

LLM Performance for Code Generation on Noisy Tasks Keeping an eye on dangerous python modules,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:45.894471Z

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 eb6c9b61-7f27-429f-8261-7d9ad7f76aa0 · outbound

This paper cites A mathematical theory of communication,.

LLM Performance for Code Generation on Noisy Tasks A mathematical theory of communication,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:43.638653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 804d2c58-59c5-429a-b13a-b27f5a184709 · outbound

This paper cites What are bob and alice saying? [mis]communication and intermediation between language and code,.

LLM Performance for Code Generation on Noisy Tasks What are bob and alice saying? [mis]communication and intermediation between language and code,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:45.680712Z

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 a4ec811e-cc65-4c54-adde-79bac3377ab1 · outbound

This paper cites Zittrain, Intellectual Debt: With Great Power Comes Great Ignorance , ser.

LLM Performance for Code Generation on Noisy Tasks Zittrain, Intellectual Debt: With Great Power Comes Great Ignorance , ser

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:45.423296Z

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 fedb689d-251f-472a-87ad-c2897492e599 · outbound

This paper cites The systems engineering approach in times of large language models,.

LLM Performance for Code Generation on Noisy Tasks The systems engineering approach in times of large language models,

Reference 33

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T12:45:44.494686Z

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 db350097-0094-4912-8d0b-2cc473d66803 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

LLM Performance for Code Generation on Noisy Tasks Measuring Massive Multitask Language Understanding

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:41.680009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01888682-4466-44e0-9d8f-f0328c7d998f · outbound

This paper cites Impact of Noise on LLM-Models Performance in Abstraction and Reasoning Corpus (ARC) Tasks with Model Temperature Considerations.

LLM Performance for Code Generation on Noisy Tasks Impact of Noise on LLM-Models Performance in Abstraction and Reasoning Corpus (ARC) Tasks with Model Temperature Considerations

Reference 2025

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:45:44.803019Z

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.

Pith citing papers

No inbound Pith citation observations are available.