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Paper Citation Record · LEDGER

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification

As of 23 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2504.20703.

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

pith.paper-citation-record.v1
2504.20703 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:26:08.399149Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved7
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30ada953-0b17-4d24-b7dd-58da2358ccfb · outbound

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

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T05:26:08.348033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:26:08.348033Z digest=sha256:f1287afdf4fb2b3bfa4628a9c680ddb0a634157735e250c6d2a41fa2464d1e4f

Observation 28a077fe-f15d-4e34-b8ec-a4bacf224261 · outbound

This paper cites A.4 Transformer Models Details In this section, we explain the encoder-only trans- former models’ details and architectures we used in the experiments.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification A.4 Transformer Models Details In this section, we explain the encoder-only trans- former models’ details and architectures we used in the experiments

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:26:08.520075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9369cbb2-ef6e-4f28-89e0-0a40d69c2818 · outbound

This paper cites Attention Is All You Need.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification Attention Is All You Need

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T05:26:08.367065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:26:08.367065Z digest=sha256:2b1d117dd76e1dc97ff626ca266d4c8912f47c9a7573a45139824793c6f956df

Observation 35b08e6d-ddea-4028-9cd4-bac8f538c0d6 · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T05:26:08.371058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:26:08.371058Z digest=sha256:57be2f1c53affb72cb14a3d18387cbb1f32364c80c503a5d65dab772a4027b2a

Observation e738641a-f469-4e33-a82c-c9b585aa3a53 · outbound

This paper cites an unresolved cited work.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:26:08.565598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:26:08.375672Z digest=sha256:1baf428ec54b127ef4a763cb570960a9c06619a1b036df4424d11e20c1fbfa39

Observation 54891c68-c363-47aa-8cd6-f5b9bf677c08 · outbound

This paper cites In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 38–45, Online.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 38–45, Online

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:26:08.550675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:26:08.380419Z digest=sha256:9612ea7c9811dfc7bbd5590d3ace305b95e84c59f1868fdf19319799f1a4789e

Observation d117d71c-0028-4ff3-aa1f-6ed32188f99e · outbound

This paper cites Ta- ble 11 shows some sample titles and text from the dataset along with their annotated classes.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification Ta- ble 11 shows some sample titles and text from the dataset along with their annotated classes

Reference 12

Resolution
malformed identifier
raw_fallback, observed 2026-08-16T05:26:08.534812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:26:08.384732Z digest=sha256:c642e79cf474c02acfca271b88d2715fe0b56b18d94ae7ae83f8f3f567ae5cb9

Observation 5fcbbfa1-febd-4707-bab6-f7b7f4658e30 · outbound

This paper cites With bold, we indicate the higher score per column.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification With bold, we indicate the higher score per column

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:26:08.505766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:26:08.394678Z digest=sha256:7695cad258a161feddfd1e0149d5e13d090f2e9ea32e87418f4e8cf48cf7e9fe

Observation a5f63ef7-f859-4c17-86fa-e33848298145 · outbound

This paper cites an unresolved cited work.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification Unresolved cited work

Reference 1995

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:26:08.593093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:26:08.353431Z digest=sha256:27f0c93b7d86c99be5f9f97162cb7a04c26fa60f0c9cb6c8bf10ee401c360d18

Observation 9fe788ac-cd87-49c9-8e35-38074abe8fb4 · outbound

This paper cites an unresolved cited work.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification Unresolved cited work

Reference 2019

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:26:08.622387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:26:08.337460Z digest=sha256:f7f3f3ff391b7c10e623444051e2982d5e88b01aec9fc0382afc54040db50a0a

Observation 0bb075e2-98b0-4cd2-9acf-d3a5984f17c2 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-16T05:26:08.362963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:26:08.362963Z digest=sha256:7ce7fa09eaaf449aefcb33a6cdb3b5cf44c5ba2a57d03af49bca5824476db216

Observation 9b022940-dd6a-42d7-855c-36851226bcfb · outbound

This paper cites In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 1421–1427, Toronto, Canada.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 1421–1427, Toronto, Canada

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:26:08.636856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:26:08.332180Z digest=sha256:3792927f0f3a7e31d2d596d6b8e11c8a311b00597d670491f1de6e75499431b4

Observation 4570436d-1fe5-433a-9223-df74450ad404 · outbound

This paper cites In 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), pages 1–8.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification In 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), pages 1–8

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:26:08.608238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:26:08.343159Z digest=sha256:0b05a2a0886366cf4c5b7c8f1b17be5f500c14572b4f5b59511a3ee61bb37196

Observation eaa09e62-2623-4238-9ba4-9b28ba2004c7 · outbound

This paper cites In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), Vienna, Aus- tria.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), Vienna, Aus- tria

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:26:08.579482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:26:08.358211Z digest=sha256:b78f462b58070f20bfb5360c7c1ca488c7b496df3151008efa85c625d76f83c3

Observation 5db6402c-869c-494b-a372-d3fc3b0df5e4 · outbound

This paper cites Then, these models were trained in both train and dev sets and provided their predictions on the test set.

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification Then, these models were trained in both train and dev sets and provided their predictions on the test set

Reference 2026

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:26:08.490907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:26:08.399149Z digest=sha256:9434153613fe471d47a46e2ef924f1de8947c434cf13919ec26c6412b60bdb9b

Pith citing papers

No inbound Pith citation observations are available.