Paper Citation Record · LEDGER

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2504.14633.

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

pith.paper-citation-record.v1
2504.14633 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:04.460050Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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 exact1
verified fuzzy10
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3915aef8-be1d-4a29-a444-9be66a97a052 · outbound

This paper cites Applied Sciences 12(19), 9691 (2022).

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance Applied Sciences 12(19), 9691 (2022)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:04.918945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f295f1c1-1792-477e-9736-33080f7d4979 · outbound

This paper cites an unresolved cited work.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:04.909089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45304ee2-cf51-4cf6-aa73-7d5c01c049b9 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL-IJCNLP 20 21 (2021).

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance Findings of the Association for Computational Linguistics: ACL-IJCNLP 20 21 (2021)

Reference 3

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Observation 55aee399-f92c-4c6b-bf05-90f28209dd2a · outbound

This paper cites In: 2023 IEEE International Conference on Data Mining (ICDM).

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance In: 2023 IEEE International Conference on Data Mining (ICDM)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:04.893646Z

Source-reported events for the cited work

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Observation e9158422-544c-403f-be0d-c8116d46a0b5 · outbound

This paper cites arXiv preprint arXiv:2304.107 22 (2023).

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance arXiv preprint arXiv:2304.107 22 (2023)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:04.883240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3eec7d20-84cb-4da9-9177-305f745e8ae3 · outbound

This paper cites SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T11:46:04.542589Z

Source-reported events for the cited work

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Observation 047250ff-e4ba-40c3-abd1-ef6d3be1a224 · outbound

This paper cites Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.367387Z

Source-reported events for the cited work

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Observation 9d8470c2-4f97-40db-b0b9-085170e2eca3 · outbound

This paper cites In : Proceedings of the AAAI Conference on Artiﬁcial Intelligence.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance In : Proceedings of the AAAI Conference on Artiﬁcial Intelligence

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.370610Z

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Observation 2f709a9d-d938-4440-a9a4-955244107bb3 · outbound

This paper cites I n: Wand, M., Malinovská, K., Schmidhuber, J., Tetko, I.V.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance I n: Wand, M., Malinovská, K., Schmidhuber, J., Tetko, I.V

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 697314f9-51a7-40c6-be82-84b1863a3e5c · outbound

This paper cites In: Koyejo, S ., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance In: Koyejo, S ., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:04.857270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c704c938-7770-4220-9b48-545742f79124 · outbound

This paper cites In: Proceedings of the AAAI Confer ence on Artiﬁcial Intelligence.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance In: Proceedings of the AAAI Confer ence on Artiﬁcial Intelligence

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:04.847407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cb43eef-e3b8-4ccb-b568-9f9b5786785a · outbound

This paper cites The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.383040Z

Source-reported events for the cited work

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Observation 25412360-a612-4045-a622-e5239fb804ae · outbound

This paper cites In: The Thir- teenth International Conference on Learning Representati ons (2025), https://openreview.net/forum?id=N1vYivuSKq.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance In: The Thir- teenth International Conference on Learning Representati ons (2025), https://openreview.net/forum?id=N1vYivuSKq

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.386407Z

Source-reported events for the cited work

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Observation d60ab92e-dd1e-4015-b935-b82fe2443821 · outbound

This paper cites In: Findings of the Association for Comput ational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11- 16, 2024.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance In: Findings of the Association for Comput ational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11- 16, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.389567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c7a15e6-b486-48ee-9ce5-61e82cd0e3cc · outbound

This paper cites an unresolved cited work.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:04.825541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d674d631-bac8-4ad2-bcb3-78cf7f4a5ecf · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance LaMDA: Language Models for Dialog Applications

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.396317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001ee99a-a4f0-4d3f-8acf-87bc040adc05 · outbound

This paper cites an unresolved cited work.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:04.815000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a616d44-a921-4656-b52c-d4e2071aa71f · outbound

This paper cites arXiv preprint arXiv:2307.0928 8 (2023).

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance arXiv preprint arXiv:2307.0928 8 (2023)

Reference 18

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Source-reported events for the cited work

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Observation d310e6fa-650e-45cb-9c35-a193d7a80ac5 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance Training Compute-Optimal Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.406163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40cbcaa4-5db6-4af4-8e00-a9929a368766 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance Constitutional AI: Harmlessness from AI Feedback

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.409864Z

Source-reported events for the cited work

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Observation 543d37ce-be1d-4b1f-9f7d-940e7b1874f0 · outbound

This paper cites EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.414361Z

Source-reported events for the cited work

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Observation ad0b7d72-6290-4c30-a039-95ac9428d4db · outbound

This paper cites In: Findings of the Associ ation for Computational Linguistics: ACL 2023.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance In: Findings of the Associ ation for Computational Linguistics: ACL 2023

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.418555Z

Source-reported events for the cited work

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Observation 66091aaa-b6d9-4dad-8755-cd91e97b8891 · outbound

This paper cites A Survey of Large Language Models in Finance (FinLLMs).

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance A Survey of Large Language Models in Finance (FinLLMs)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.422362Z

Source-reported events for the cited work

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Observation c95fa473-660d-428e-b285-060365b7af42 · outbound

This paper cites FinGPT: Democratizing Internet-scale Data for Financial Large Language Models.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance FinGPT: Democratizing Internet-scale Data for Financial Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.426062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 473c27e0-46c1-4c66-877f-42badfbac76d · outbound

This paper cites In: 2 024 IEEE Conference on Artiﬁcial Intelligence (CAI).

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance In: 2 024 IEEE Conference on Artiﬁcial Intelligence (CAI)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:04.798862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e1073624-e53b-48b2-b7f3-06bb71ff8a78 · outbound

This paper cites Contemporary Accounting R esearch 40(2), 806– 841 (2023).

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance Contemporary Accounting R esearch 40(2), 806– 841 (2023)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:04.788414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38e2528b-4010-43cf-8043-ec073ac5c17e · outbound

This paper cites In: Proceedings of the fourth ACM international conference on AI in ﬁnance.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance In: Proceedings of the fourth ACM international conference on AI in ﬁnance

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:04.777904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 161911c4-44ae-4606-aad8-be13e0f2d990 · outbound

This paper cites A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.440581Z

Source-reported events for the cited work

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Observation 060968d8-c3eb-44c1-8999-0de792cdd411 · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.443793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d012fd70-2b87-4534-97cc-69d3d4a575de · outbound

This paper cites FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.447212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c67c0aa-870d-45df-9a5e-32056f2afce4 · outbound

This paper cites In: 2023 IEEE International Confere nce on Big Data (Big- Data).

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance In: 2023 IEEE International Confere nce on Big Data (Big- Data)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:04.767192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 863cfdd3-78b1-44ea-8202-af84af96c89c · outbound

This paper cites In: Informatics.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance In: Informatics

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.453696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b744f2d1-2b3e-4a11-a79e-c6b7be4b1dcb · outbound

This paper cites arXiv preprint arXiv:2501.0137 7 (2025).

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance arXiv preprint arXiv:2501.0137 7 (2025)

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.456835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6deba59-c33d-4e1b-aea9-87a415e6f8b1 · outbound

This paper cites A vailable at SSRN 4548263 (2023).

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance A vailable at SSRN 4548263 (2023)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:04.749889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.