Paper Citation Record · LEDGER

Retrieval-augmented Large Language Models for Financial Time Series Forecasting

As of 14 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 5 inbound Pith citation observations for arXiv:2502.05878.

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

pith.paper-citation-record.v1
2502.05878 v3

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:40:15.306510Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:32:12.491866Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.393710Z

Reference resolution

33 of 33 outbound references displayed

verified exact1
verified fuzzy14
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab86b9b5-4276-41d2-b3db-2843df30d77d · outbound

This paper cites Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.213347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a74514c4-2072-423e-ab84-b443473b6aaa · outbound

This paper cites TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:40:15.600811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1adb4ae1-9837-4b8f-8379-b97ad716c871 · outbound

This paper cites Retrieve anything to augment large language models.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Retrieve anything to augment large language models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.220240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5324e62d-ff46-4b72-b6ee-8c958dbc2bbd · outbound

This paper cites Stock movement prediction from tweets and historical prices.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Stock movement prediction from tweets and historical prices

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.724016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 11ecca52-16d4-4cd5-8f9b-21f69daa54e3 · outbound

This paper cites Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.242573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472f14cd-7f68-4f48-a0ac-3ae8e2432948 · outbound

This paper cites FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.246323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6986d2cc-9112-42f5-ad29-888ba3322d4f · outbound

This paper cites AnglE-optimized Text Embeddings.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting AnglE-optimized Text Embeddings

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.249151Z

Source-reported events for the cited work

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Observation d74de037-8040-45f3-9cd8-3200f4b5ed12 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Improving Text Embeddings with Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.251931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2f1cba2-4ee4-439c-bfa1-9920b7ea541b · outbound

This paper cites Mistral 7B.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Mistral 7B

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.255118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7bc2ad4-f863-437c-80b5-4765f7739c3a · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.271841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2337bad-8657-421b-bd00-ef7aba3d5efd · outbound

This paper cites Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.274766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 849463a2-0a2e-4395-98b3-b186113bfa1f · outbound

This paper cites TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.277480Z

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Unavailable: canonical work link unavailable.

Observation 459d5f4f-c260-4cb3-8def-4b9aa3635e26 · outbound

This paper cites Akhilesh Ganti.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Akhilesh Ganti

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.688549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ede13b4a-7286-40c3-9856-2ea8c16664a1 · outbound

This paper cites Narasimhan Jegadeesh.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Narasimhan Jegadeesh

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.680150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8059fa19-f998-4b75-9e85-9c3d05f5d8fa · outbound

This paper cites The Llama 3 Herd of Models.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting The Llama 3 Herd of Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.287340Z

Source-reported events for the cited work

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Observation fee9fc46-2e0e-4a40-916c-3a99d9e8eb26 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.290349Z

Source-reported events for the cited work

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Observation ea300f0c-192c-4c8f-962e-1a5592186e92 · outbound

This paper cites [2022], we classify the movement as rise if return Rt exceeds 0.55, fall if it is below -0.5.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting [2022], we classify the movement as rise if return Rt exceeds 0.55, fall if it is below -0.5

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.669560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f8af5773-b7c6-4499-8739-c2ff02bc2350 · outbound

This paper cites devived financial indicators 2 movement Tardi [2022], Jegadeesh [1990], Je- gadeesh and Titman.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting devived financial indicators 2 movement Tardi [2022], Jegadeesh [1990], Je- gadeesh and Titman

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.660318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fbfaf4f6-e423-40cb-b1bf-383d2345a107 · outbound

This paper cites s t o c k _ n a m e.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting s t o c k _ n a m e

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.642002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df2b002d-4a11-43c1-8f3e-744ca6dd688f · outbound

This paper cites Just fill in the blank, do not explain.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Just fill in the blank, do not explain

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.632892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ab46c728-27c2-471a-82ef-f10deb3cd62c · outbound

This paper cites Accurate multivariate stock movement prediction via data-axis transformer with multi-level contexts.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Accurate multivariate stock movement prediction via data-axis transformer with multi-level contexts

Reference 1975

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.696990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a20b96c5-1cd6-4335-8843-780a5e6b3250 · outbound

This paper cites returns Tardi [2022], Jegadeesh [1990], Je- gadeesh and Titman.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting returns Tardi [2022], Jegadeesh [1990], Je- gadeesh and Titman

Reference 1993

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.651144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f16536c8-c98e-482b-adfb-6ad86dc64d20 · outbound

This paper cites The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.201883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b0b363-9600-45c2-96a6-078adffe759d · outbound

This paper cites Financial time series forecasting with deep learning: A systematic literature review: 2005–2019.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Financial time series forecasting with deep learning: A systematic literature review: 2005–2019

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.732613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2b39f9b3-f309-428e-aa8c-dbe0f62f99c7 · outbound

This paper cites Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.239372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8b5f544-f7fe-48ff-ac5b-19b5cba1d210 · outbound

This paper cites Enhancing Stock Movement Prediction with Adversarial Training.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Enhancing Stock Movement Prediction with Adversarial Training

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.268457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f0c741d-ed3b-40f5-9bf1-28f67d164c91 · outbound

This paper cites Accurate stock movement prediction with self-supervised learning from sparse noisy tweets.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Accurate stock movement prediction with self-supervised learning from sparse noisy tweets

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.715082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 80d69092-c228-4d33-93f8-32098c568217 · outbound

This paper cites Empirical asset pricing via machine learning.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Empirical asset pricing via machine learning

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.706601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b7c052c7-64a2-44a2-830c-5fc47ead3b10 · outbound

This paper cites Robust multi model rag pipeline for documents containing text, table & images.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Robust multi model rag pipeline for documents containing text, table & images

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.750127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 30f7936b-2ae8-4194-8854-f003cca4c593 · outbound

This paper cites PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.265078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24c5a142-92d8-428e-882b-a9e6443318ef · outbound

This paper cites RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.258282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 423766ed-4277-47da-9611-e1174bd03368 · outbound

This paper cites Technical analysis of three stock oscillators testing macd, rsi and kdj rules in sh & sz stock markets.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Technical analysis of three stock oscillators testing macd, rsi and kdj rules in sh & sz stock markets

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:40:15.741662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b787c6db-b183-479e-b249-ca56ce54a12b · outbound

This paper cites G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.209295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7e173a8e-6bc8-4692-801e-31267d6edaa7 · inbound

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating cites this paper.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:28.519978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a8d3e1b-fb0d-4674-a671-5e78f1ac49ed · inbound

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models cites this paper.

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Reference 118

Resolution: unresolved; no resolver link, observed 2026-08-04T16:49:34.882772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30b69511-09b0-43f1-86db-c878872095c1 · inbound

Time Series Augmented Generation for Financial Applications cites this paper.

Time Series Augmented Generation for Financial Applications Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:01:26.207361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2182ec28-cfb6-4051-9c09-c292ba11ce6d · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Reference 272

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:57:41.395194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9f2c86d6-e9f6-4c4c-8476-92e1fc74acaa · inbound

Talking to Digital Twins: Selective Disclosure and Belief Measurement in Financial Social Media cites this paper.

Talking to Digital Twins: Selective Disclosure and Belief Measurement in Financial Social Media Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Reference 123

Resolution: unresolved; no resolver link, observed 2026-08-06T00:32:12.491866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.