Paper Citation Record · LEDGER

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation

As of 11 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2502.00611.

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

pith.paper-citation-record.v1
2502.00611 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:22:08.048997Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

16 of 16 outbound references displayed

verified exact0
verified fuzzy14
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb82b189-6de7-4583-a707-d7e85d6d07a4 · outbound

This paper cites Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T18:22:07.975846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb240624-9091-4c54-b42b-d8f05f6ca517 · outbound

This paper cites Artificial intelligence faces reproducibility crisis.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation Artificial intelligence faces reproducibility crisis

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.418708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation de4c11ac-5dd6-413b-a8ba-eeeb47d19e5e · outbound

This paper cites and Larochelle, H., 2021.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation and Larochelle, H., 2021

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.403386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dec96cb2-a304-4826-bed2-19160b1e8a9c · outbound

This paper cites and Kjensmo, S., 2018, April.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation and Kjensmo, S., 2018, April

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.388701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f0323530-1266-46c5-a05b-6b4d00b65e14 · outbound

This paper cites and Dane, S., 2018.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation and Dane, S., 2018

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.373494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3fb3b970-90f3-415c-a767-16a1e30876af · outbound

This paper cites The Foundations of Verification: Code Verifi- cation.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation The Foundations of Verification: Code Verifi- cation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.357993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2fffde67-a8ff-4d48-bc57-af39879153c1 · outbound

This paper cites A step toward quantifying independently reproducible machine learning research.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation A step toward quantifying independently reproducible machine learning research

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.342719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c03b974b-87e4-4bac-9d2e-6607a2d03a17 · outbound

This paper cites and Zuo, C., 2023.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation and Zuo, C., 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.327044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 48a5c593-bafc-4f0e-afcc-ce2bfdc6402b · outbound

This paper cites and Riedel, S.,.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation and Riedel, S.,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.311678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 668cc879-4ab0-4efe-b112-25f94823db81 · outbound

This paper cites LlamaIndex.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation LlamaIndex

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.279058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ee38fee6-5824-4268-a165-c63c70dcbf07 · outbound

This paper cites NVIDIA NeMo.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation NVIDIA NeMo

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.263625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aa45e365-ce3b-437e-84f1-5d35d6664d6d · outbound

This paper cites Introducing Meta Llama 3: The most capable openly avail- able LLM to date.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation Introducing Meta Llama 3: The most capable openly avail- able LLM to date

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.148312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b74179bb-0c8c-42fc-9f86-9a86e4ce5f31 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T18:22:08.039790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f301ee5b-2ea3-482a-a847-acac5b734c33 · outbound

This paper cites NVIDIA Retrieval QA Mistral 4B Reranking v3.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation NVIDIA Retrieval QA Mistral 4B Reranking v3

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.134001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac984c04-f3cc-4fb4-a13b-8b9c190462ca · outbound

This paper cites and Toutanova, K., 2019, June.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation and Toutanova, K., 2019, June

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.117292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 59474ca0-ea30-40b5-bd84-51b9df20c135 · outbound

This paper cites Advances in Neural Information Processing Systems.

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation Advances in Neural Information Processing Systems

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:22:08.295790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.