Paper Citation Record · LEDGER

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection

As of 17 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2502.08687.

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

pith.paper-citation-record.v1
2502.08687 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:29:33.158193Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

23 of 23 outbound references displayed

verified exact16
verified fuzzy1
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce2d9286-280f-4bd4-a26d-45a5613f8fcb · outbound

This paper cites Quality assessment of some food products in iraq,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Quality assessment of some food products in iraq,

Reference 2

Resolution: verified exact; doi, observed 2026-08-08T05:29:33.417773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0e4d5859-5250-46f6-8f60-e5f2d1340d6b · outbound

This paper cites Food safety, a global challenge,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Food safety, a global challenge,

Reference 3

Resolution: verified exact; doi, observed 2026-08-08T05:29:33.401766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d532ea7-b51c-40ae-8c77-c91167b249e7 · outbound

This paper cites Critical review of methods for risk ranking of food-related hazards, based on risks for human health,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Critical review of methods for risk ranking of food-related hazards, based on risks for human health,

Reference 4

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T05:29:34.421968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 34cafd91-09db-433d-9dca-a7e9d6f3e1d6 · outbound

This paper cites Report on the development of a food classification and description system for exposure assessment and guidance on its implementation and use,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Report on the development of a food classification and description system for exposure assessment and guidance on its implementation and use,

Reference 5

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T05:29:34.214401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5a04e319-60f9-47b8-af54-26ad612c3b61 · outbound

This paper cites Explainable artificial intelligence: an analytical review,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Explainable artificial intelligence: an analytical review,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T05:29:33.068813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48b936c-6600-49b9-adfa-57067f2b2364 · outbound

This paper cites A survey of current practice and teaching of ai,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection A survey of current practice and teaching of ai,

Reference 7

Resolution: verified exact; doi, observed 2026-08-08T05:29:33.374468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4a3971e6-38b0-454b-9f37-18a65927f7e0 · outbound

This paper cites TaskComplexity: A Dataset for Task Complexity Classification with In-Context Learning, FLAN-T5 and GPT-4o Benchmarks.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection TaskComplexity: A Dataset for Task Complexity Classification with In-Context Learning, FLAN-T5 and GPT-4o Benchmarks

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-08T05:29:34.007711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 32e0825b-8863-48b4-a052-1811453d26fe · outbound

This paper cites Exploring in-context learning: A deep dive into model size, templates, and few-shot learning for text classification,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Exploring in-context learning: A deep dive into model size, templates, and few-shot learning for text classification,

Reference 9

Resolution: verified exact; doi, observed 2026-08-08T05:29:33.358630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c7130af0-71b4-40ea-91c6-a15d63e46c90 · outbound

This paper cites Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-08T05:29:33.984529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 78942330-288e-42c8-9eda-c4ec325636e4 · outbound

This paper cites Arabic offensive language classification: Leveraging transformer, lstm, and svm,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Arabic offensive language classification: Leveraging transformer, lstm, and svm,

Reference 11

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T05:29:33.961739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 06e19c2b-81e4-4ad2-9122-9307ab89a099 · outbound

This paper cites A Survey of Large Language Models.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection A Survey of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T05:29:33.099631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2ca123c-a7ed-45f3-b1fb-42aed03ae9f2 · outbound

This paper cites Deep learning approaches for question answering system,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Deep learning approaches for question answering system,

Reference 13

Resolution: verified exact; doi, observed 2026-08-08T05:29:33.326484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fb29c788-b7b3-4250-bc2c-748dc7e70b9b · outbound

This paper cites Research and implementation of english grammar check and error correction based on deep learning,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Research and implementation of english grammar check and error correction based on deep learning,

Reference 14

Resolution: verified exact; doi, observed 2026-08-08T05:29:33.310181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 873a3b13-9a7a-4fa3-b6b1-cf16b3534732 · outbound

This paper cites A survey on data augmentation for text classification,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection A survey on data augmentation for text classification,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T05:29:33.114525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f0ccb19-73fd-4e1a-b39e-224ae694c7d7 · outbound

This paper cites T5 for hate speech, augmented data, and ensemble,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection T5 for hate speech, augmented data, and ensemble,

Reference 16

Resolution: verified exact; doi, observed 2026-08-08T05:29:33.282015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 457110c3-7741-4212-8770-7a666e9221d1 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T05:29:33.124217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 176868c3-e954-471e-ab35-f6f07f75edc5 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Scaling Instruction-Finetuned Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T05:29:33.129326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 810e5d35-8c9e-4405-b9f8-266629b161c7 · outbound

This paper cites Chatgpt: open possibilities,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Chatgpt: open possibilities,

Reference 19

Resolution: verified exact; doi, observed 2026-08-08T05:29:33.248367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7cfe9f0b-0de6-47c4-be2b-ba5f9be4a31b · outbound

This paper cites Study and analysis of chat gpt and its impact on different fields of study,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Study and analysis of chat gpt and its impact on different fields of study,

Reference 20

Resolution: verified exact; doi, observed 2026-08-08T05:29:33.232285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 240bc49b-f6c0-422a-8613-569afe31e3c5 · outbound

This paper cites How chatgpt works: a mini review,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection How chatgpt works: a mini review,

Reference 21

Resolution: verified exact; doi, observed 2026-08-08T05:29:33.215418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e780f3c4-5dba-4305-9db9-2cf6cab7d089 · outbound

This paper cites A comparative analysis of encoder only and decoder only models for challenging llm-generated stem mcqs using a self-evaluation approach,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection A comparative analysis of encoder only and decoder only models for challenging llm-generated stem mcqs using a self-evaluation approach,

Reference 22

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T05:29:33.705547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 10ceda0f-50f1-4c70-8f5c-b94d47b59b6a · outbound

This paper cites Attention Is All You Need.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Attention Is All You Need

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T05:29:33.153062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c15d680f-5f27-4b88-aaa1-7d2113b9889d · outbound

This paper cites Food hazard detection semeval 2025 github repository,.

Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection Food hazard detection semeval 2025 github repository,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:29:34.533147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.