Paper Citation Record · LEDGER

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 7 inbound Pith citation observations for arXiv:2504.15800.

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

pith.paper-citation-record.v1
2504.15800 v3

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:20:18.713089Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:09:26.622417Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T12:34:38.843639Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy6
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1ac02c0-5f22-41c1-b09f-a1738d4d231b · outbound

This paper cites GPT-4 Technical Report.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.578638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba24aa6a-cf6b-4095-a8a1-b108785c8f91 · outbound

This paper cites FinQA: A Dataset of Numerical Reasoning over Financial Data.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation FinQA: A Dataset of Numerical Reasoning over Financial Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.592308Z

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Observation 7a768319-0623-439c-9a57-361e7788f5be · outbound

This paper cites Inf-ufg at fiqa 2018 task 1: predicting sentiments and aspects on financial tweets and news headlines.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Inf-ufg at fiqa 2018 task 1: predicting sentiments and aspects on financial tweets and news headlines

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:20:19.138983Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f4002270-f630-477e-837f-4f4f41f4b66f · outbound

This paper cites Managing the complex- ity of processing financial data at scale-an experience report.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Managing the complex- ity of processing financial data at scale-an experience report

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:20:19.126877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa1180f3-d566-4980-8faf-9c8061c55c03 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.627720Z

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Observation f8d2a76e-bf06-4c46-997e-ec2e4fa74676 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.634690Z

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Observation fab7eef6-12d7-4fcf-906d-8cf9760cadf9 · outbound

This paper cites Evaluating retrieval- augmented generation models for financial report question and answering.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Evaluating retrieval- augmented generation models for financial report question and answering

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:20:19.115211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cefcaa49-41f7-4043-a53e-8e8659bfcda9 · outbound

This paper cites FinanceBench: A New Benchmark for Financial Question Answering.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation FinanceBench: A New Benchmark for Financial Question Answering

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.641630Z

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Observation b80278d1-42fc-4c1e-8dfa-7ad17fb0a018 · outbound

This paper cites OpenAI o1 System Card.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation OpenAI o1 System Card

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.645447Z

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Observation c703932a-d8e6-4011-b182-2bf4831c01d5 · outbound

This paper cites Large Language Models are legal but they are not: Making the case for a powerful LegalLLM.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Large Language Models are legal but they are not: Making the case for a powerful LegalLLM

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.648926Z

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Observation 43f82cea-3c7d-4769-a07d-c35ebf0e8e90 · outbound

This paper cites Active Retrieval Augmented Generation.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Active Retrieval Augmented Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.652674Z

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Observation 32efdc52-34d9-40e1-981f-d9bd2d16553a · outbound

This paper cites Enhancing Retrieval-Augmented Generation: A Study of Best Practices.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Enhancing Retrieval-Augmented Generation: A Study of Best Practices

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.656300Z

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Observation 02dc0b92-711a-4b72-9a75-7393ffd0255f · outbound

This paper cites Retrieval aug- mented generation or long-context llms? a comprehensive study and hybrid approach.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Retrieval aug- mented generation or long-context llms? a comprehensive study and hybrid approach

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:20:19.104630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b1bb269-a17d-4885-aa09-a613bb771d1c · outbound

This paper cites Document Expansion by Query Prediction.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Document Expansion by Query Prediction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.667574Z

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Observation f17f0c91-2073-4583-b0dc-821c209ced94 · outbound

This paper cites Docfinqa: A long-context financial reasoning dataset.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Docfinqa: A long-context financial reasoning dataset

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.675433Z

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Observation ff204101-20ee-4d92-99f0-6620784c160d · outbound

This paper cites Improving Retrieval for RAG based Question Answering Models on Financial Documents.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Improving Retrieval for RAG based Question Answering Models on Financial Documents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.679130Z

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Observation f3c1489f-de28-4e48-bb9f-3476e4f91174 · outbound

This paper cites ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.683176Z

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Unavailable: canonical work link unavailable.

Observation 589f43ba-c264-415b-acbe-0c43287d08ff · outbound

This paper cites Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.687246Z

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Observation 3df3244e-cc25-4dc1-85c0-2ddd7b96b165 · outbound

This paper cites Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.691133Z

Source-reported events for the cited work

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Observation 7950ffcb-8f3a-4b5c-8f4c-720e014da5fd · outbound

This paper cites Improving Text Embeddings with Large Language Models.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Improving Text Embeddings with Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.694928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccd4e20c-636d-482b-adfb-d59a43cfa441 · outbound

This paper cites Financial Report Chunking for Effective Retrieval Augmented Generation.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.702161Z

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Observation 3fd29a2c-81b3-435b-b702-1d93b87e34d0 · outbound

This paper cites MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.705716Z

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Unavailable: canonical work link unavailable.

Observation 2bcbd48e-3e92-4270-96cc-73527256e78d · outbound

This paper cites Optimizing llm based retrieval augmented generation pipelines in the financial domain.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Optimizing llm based retrieval augmented generation pipelines in the financial domain

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:20:19.093296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5a17b970-b196-475e-a66b-129b2274e600 · outbound

This paper cites TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.713089Z

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Observation 8cffec56-d2a2-45bf-b55e-4d6a8a467962 · outbound

This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Ragas: Automated Evaluation of Retrieval Augmented Generation

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.608974Z

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Observation 9bee7ab7-7974-48da-b573-9bd709a0e22d · outbound

This paper cites Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.698507Z

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Observation 95ec30d8-46bd-4dee-ac0e-56d99cda7b2e · outbound

This paper cites RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.583316Z

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Observation b8a9d0c1-8e2f-4a1c-8491-887147a95685 · outbound

This paper cites A Survey on LLM-as-a-Judge.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation A Survey on LLM-as-a-Judge

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.624131Z

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Observation cf976ba1-edc4-46d4-bc82-8340d2bdc577 · outbound

This paper cites An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.631186Z

Source-reported events for the cited work

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Observation 82885303-b89b-424a-bee3-b9d74d18c63b · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation A Survey of Hallucination in Large Foundation Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.671658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e46bd1bc-5445-42ab-8004-500472c9b65b · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.620320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fdd40fe-8f13-4cef-9c5c-c4a89099a0f5 · outbound

This paper cites ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.596463Z

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Unavailable: canonical work link unavailable.

Observation 1b7b5962-6ccd-4250-a6b4-f17ed9379d8f · outbound

This paper cites Enhancing financial risk analysis using rag-based large language models.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Enhancing financial risk analysis using rag-based large language models

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:20:19.150567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e0b9bae-d628-4821-b912-a496162c0ea9 · outbound

This paper cites The Chronicles of RAG: The Retriever, the Chunk and the Generator.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation The Chronicles of RAG: The Retriever, the Chunk and the Generator

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.613013Z

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Observation e7e66e24-5574-496c-a9a9-7f725a4ba9a3 · outbound

This paper cites FinTextQA: A Dataset for Long-form Financial Question Answering.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation FinTextQA: A Dataset for Long-form Financial Question Answering

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.588007Z

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Observation 33c68203-7d39-4d3c-925f-141eb80dd726 · outbound

This paper cites Long Context vs. RAG for LLMs: An Evaluation and Revisits.

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation Long Context vs. RAG for LLMs: An Evaluation and Revisits

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T11:20:18.660243Z

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Pith citing papers

Observation e451ad7e-2013-4184-80b5-b883dbdf1cc0 · inbound

Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3 cites this paper.

Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3 FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:06.816069Z

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Unavailable: canonical work link unavailable.

Observation 5800c5b8-edca-4b41-a098-af7feb51f840 · inbound

Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis cites this paper.

Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:00:17.956208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d10298d5-5452-4735-99b9-2e14778171a0 · inbound

Sustainable Hybrid Document-Routed Retrieval for Financial RAG: Resolving the Robustness-Precision Trade-off cites this paper.

Sustainable Hybrid Document-Routed Retrieval for Financial RAG: Resolving the Robustness-Precision Trade-off FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:23:22.802806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 975e076d-3eb7-4c78-ae44-f63b0ee085eb · inbound

Controlling Authority Retrieval: A Missing Retrieval Objective for Authority-Governed Knowledge cites this paper.

Controlling Authority Retrieval: A Missing Retrieval Objective for Authority-Governed Knowledge FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:55:21.090307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cb4fa91b-333c-47c2-8b6b-93c71cb769e5 · inbound

MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration cites this paper.

MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:34:38.845279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cec0de70-3928-4b7d-9d83-c55e0a8abf24 · inbound

FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering cites this paper.

FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T16:10:06.344884Z

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Observation 74fe4548-4c39-4f2c-ab6c-fdec4fd0756d · inbound

FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings cites this paper.

FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T05:09:26.622417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.