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Paper Citation Record · LEDGER

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.05668.

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

pith.paper-citation-record.v1
2608.05668 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:33:03.229079Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9f5f117-93e5-45ae-b80e-e1a1d4b7ca0b · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.118689Z digest=sha256:48f8979dabb7f03411666f86b086d0e19955a6bac1e887202c3b0fdf03ce7ad4

Observation 668fc5e9-9a82-4d16-812f-e0dfea73d268 · outbound

This paper cites C DETAILS OFPROBLEMFORMULATION In addition to numerical modalities, we incorporate textual news.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading C DETAILS OFPROBLEMFORMULATION In addition to numerical modalities, we incorporate textual news

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.209928Z digest=sha256:be7349c6004c01592437c27cdde7d94266a00a9a6f51748b19af2f07b8ed6660

Observation f5da3fbf-d880-4448-858d-d47cf53bbb25 · outbound

This paper cites GPT-4o System Card.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading GPT-4o System Card

Reference 5

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source=pdf_text observed=2026-08-08T04:33:03.134444Z digest=sha256:163a4d192b45bfd282349b69fff665e06d2d54d64d4d13391d7a88bd589d3a0b

Observation a5c1f8f6-825b-4776-9c3e-caae56852274 · outbound

This paper cites Time travel is cheating: Going live with deepfund for real-time fund investment benchmarking.arXiv preprint arXiv:2505.11065,.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Time travel is cheating: Going live with deepfund for real-time fund investment benchmarking.arXiv preprint arXiv:2505.11065,

Reference 8

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source=pdf_text observed=2026-08-08T04:33:03.145568Z digest=sha256:386ea2d1379eb9676c6bf25533ad0adce12f2b865a9bc6c756feafac7749c3be

Observation a0580bb8-87e8-42c9-abab-b14b733e9806 · outbound

This paper cites Can chatgpt forecast stock price movements? return predictability and large language models.arXiv preprint arXiv:2304.07619,.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Can chatgpt forecast stock price movements? return predictability and large language models.arXiv preprint arXiv:2304.07619,

Reference 12

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source=pdf_text observed=2026-08-08T04:33:03.160044Z digest=sha256:8f5b1f038a06f857a5a893c944935e1ec9327d37d37e88735d4e6f30a5856ed5

Observation c5933105-ff57-4cab-b1d7-22392f67b422 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Playing Atari with Deep Reinforcement Learning

Reference 13

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source=pdf_text observed=2026-08-08T04:33:03.163288Z digest=sha256:cdb374d28860661b42dd52776fee5074de420e2fec6fc983b324e30298478a03

Observation 88d9290e-15d7-444d-96b6-a68a47484545 · outbound

This paper cites Financial time series forecasting with deep learning: A systematic literature review: 2005–2019.Applied soft computing, 90:106181,.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Financial time series forecasting with deep learning: A systematic literature review: 2005–2019.Applied soft computing, 90:106181,

Reference 17

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source=pdf_text observed=2026-08-08T04:33:03.176022Z digest=sha256:faea8bd41cde063d0468f2a4bda798b7bba510f92313a062d3d1c0b3a3502a35

Observation b2a77f1d-cd6f-42d0-8a1f-e7554f310efc · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading BloombergGPT: A Large Language Model for Finance

Reference 19

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source=pdf_text observed=2026-08-08T04:33:03.182260Z digest=sha256:fcc2bb2fcc7e20511873b29bff275072124d5a96a1f19f212f0f7a33f9e3498b

Observation bd2abde7-c7d6-405d-ae27-33ab224066d3 · outbound

This paper cites TradingAgents: Multi-Agents LLM Financial Trading Framework.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 20

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source=pdf_text observed=2026-08-08T04:33:03.185470Z digest=sha256:1299251bb1fa2189b826c73551f534d1ec4e69c2a077a916a6277581c7846939

Observation 38ee0a1a-f9c8-422a-8975-1cf793ec400a · outbound

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

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Stock movement prediction from tweets and historical prices

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.188394Z digest=sha256:f2b180316ea853fb76f7a3986e9f414065ca56e418023e3cf0c635cbb95bd564

Observation 75eb1eaf-9cf6-4da3-9428-47a948ce0149 · outbound

This paper cites Qwen3 Technical Report.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Qwen3 Technical Report

Reference 22

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source=pdf_text observed=2026-08-08T04:33:03.192003Z digest=sha256:c1cb5e95ce16848c1c740b90a0641f65253b0bb40db926ecb592f3e8179a864d

Observation 6e25e189-2d3d-4930-a2d4-8a223fc92b53 · outbound

This paper cites Qlib: An AI-oriented Quantitative Investment Platform.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Qlib: An AI-oriented Quantitative Investment Platform

Reference 23

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source=pdf_text observed=2026-08-08T04:33:03.195260Z digest=sha256:2c92c3d97465b0517c38fb5fe5483787855a117e4440fca7404456fab85e184a

Observation 593bd687-b519-4a91-97c0-5807620f3692 · outbound

This paper cites MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions

Reference 24

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source=pdf_text observed=2026-08-08T04:33:03.198935Z digest=sha256:9680824ff5c14d278d7778fe909f6fea0ed016a2ef3a2a3c35ebfd630b218e86

Observation 1cc68e3f-cbe9-441e-8f8f-4eb22f23282f · outbound

This paper cites Findeepresearch: Evaluating deep research agents in rigorous financial analysis.arXiv preprint arXiv:2510.13936,.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Findeepresearch: Evaluating deep research agents in rigorous financial analysis.arXiv preprint arXiv:2510.13936,

Reference 25

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source=pdf_text observed=2026-08-08T04:33:03.202501Z digest=sha256:8d6e0a8c1c8d917909750d97fabd002ab4335783c4f3cf3462c628b1fe5fa652

Observation 8a162a99-cdad-4ab4-9a43-dfd29f8d6f7f · outbound

This paper cites Related Work.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Related Work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.205709Z digest=sha256:844765a10ba22f2ebc983422b8c0672d92d90b96cf3f1e029246d4e9a25f0533

Observation a59ffb8b-fbfb-47d8-8402-ac068c3bb316 · outbound

This paper cites We adopt DeepSeek-R1 Huang & Wang (2025) as the backbone model.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading We adopt DeepSeek-R1 Huang & Wang (2025) as the backbone model

Reference 28

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raw_fallback, observed 2026-08-08T04:33:03.799107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.213348Z digest=sha256:abbdfa88856d69a49bf2b960e271135456728e180f7b95596959ed9c86d41367

Observation 4444c8ea-eeed-4053-bffc-d0e2ba6b8b7a · outbound

This paper cites trading decisions under different cases.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading trading decisions under different cases

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.216686Z digest=sha256:489c91f63ad488090aee51f5069c42a62da24fd88a8c18dcb0950ae49fccafdd

Observation 0c60d56e-8567-4b4f-9a37-f73345a6d463 · outbound

This paper cites (2025), while the execution is performed in a single summarization-reasoning step.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading (2025), while the execution is performed in a single summarization-reasoning step

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.219912Z digest=sha256:462e14f42c401ce29c639cbd69ffeb46dc26c5b8c79abb89847a6464623cea46

Observation 93e0912c-ebf9-4035-8383-6411283383f3 · outbound

This paper cites Sentiment Analysis Agent.The Sentiment Analysis Agent assesses market sentiment by analyzing news and social media streams (e.g., FinHub).

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Sentiment Analysis Agent.The Sentiment Analysis Agent assesses market sentiment by analyzing news and social media streams (e.g., FinHub)

Reference 31

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raw_fallback, observed 2026-08-08T04:33:03.767468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.223534Z digest=sha256:1fd2c05fbe056ce386f13e7c8358936c0a42a51fb618d2003de347809e37e9f3

Observation fdc2b186-5bff-4f80-a4b3-232f4f2194d0 · outbound

This paper cites Assumptions used in the backtesting setup.Details of the backtesting protocol are specified below.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Assumptions used in the backtesting setup.Details of the backtesting protocol are specified below

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.226448Z digest=sha256:65e9418ab056cea9c2c2307d1ae933708262b3ed92612d46277d9c7848c862cf

Observation 6fd45e2d-d372-4f9f-927a-ef00a3d02308 · outbound

This paper cites F2Agent w/o MaF.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading F2Agent w/o MaF

Reference 33

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raw_fallback, observed 2026-08-08T04:33:03.320714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.229079Z digest=sha256:639e9f54422faf7168a35828f2acddbca9e4b6e6cd97cde166dec4bcd5794053

Observation 3ca131e0-026a-4861-9fc3-eff8f21eaa9f · outbound

This paper cites Qwen2 Technical Report.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Qwen2 Technical Report

Reference 1998

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source=pdf_text observed=2026-08-08T04:33:03.179112Z digest=sha256:163362df38837c6fdec1cb15ea0d22eca7239926b36e31eadacf5ad2c77d0603

Observation 19ddf7e1-4fa9-4976-adc2-a98dd96433ff · outbound

This paper cites A comprehensive survey of mixture-of-experts: Algorithms, theory, and applications.arXiv preprint arXiv:2503.07137,.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading A comprehensive survey of mixture-of-experts: Algorithms, theory, and applications.arXiv preprint arXiv:2503.07137,

Reference 2013

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source=pdf_text observed=2026-08-08T04:33:03.166384Z digest=sha256:94cfbe111dc5f72b858f589c09f9aeb9067ff37e7e40403f17cca7724a2c5b1d

Observation 0b25c5bf-e63e-4d13-99e5-99f46429879c · outbound

This paper cites How Green are Neural Language Models? Analyzing Energy Consumption in Text Summarization Fine-tuning.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading How Green are Neural Language Models? Analyzing Energy Consumption in Text Summarization Fine-tuning

Reference 2015

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source=pdf_text observed=2026-08-08T04:33:03.169587Z digest=sha256:704ded4f963b414e40125e5a48547698779b8a030f1235fe3e8577d8664e1099

Observation 107d7b16-e599-453e-86ab-4d9d6de7a0fb · outbound

This paper cites ChatGPT Informed Graph Neural Network for Stock Movement Prediction.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading ChatGPT Informed Graph Neural Network for Stock Movement Prediction

Reference 2016

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source=pdf_text observed=2026-08-08T04:33:03.122982Z digest=sha256:79ad3694d6fd8698404e8a7f24fe0512d32066a509ba60c8c72a7f454d1a6290

Observation 7481081f-e255-437f-82db-b77e5b3371d3 · outbound

This paper cites 101 formulaic alphas.Wilmott, 2016(84):72–81,.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading 101 formulaic alphas.Wilmott, 2016(84):72–81,

Reference 2017

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raw_fallback, observed 2026-08-08T04:33:03.843809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.142106Z digest=sha256:f21c0a72b550cfcbd7454dfd0b3a7f2e32e54e321182cef1496f387d464099a8

Observation 7d642247-d426-46cd-a604-aa43c07185c0 · outbound

This paper cites The Llama 3 Herd of Models.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading The Llama 3 Herd of Models

Reference 2018

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source=pdf_text observed=2026-08-08T04:33:03.127267Z digest=sha256:3eeb88287d79e4a97ae8a9d9c4b5d1f05fc1783098c50a1dab23ba2ffa593274

Observation e2fbac0b-2d10-48c5-9bc6-0a90a1ca5d26 · outbound

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

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading FinGPT: Democratizing Internet-scale Data for Financial Large Language Models

Reference 2020

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no resolver link, observed 2026-08-08T04:33:03.156125Z

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source=pdf_text observed=2026-08-08T04:33:03.156125Z digest=sha256:ebb23a466530b0b3013472a2f36e6bae17c8c66652ad69db0df94a7d90bd9843

Observation 8c1d6f26-7089-49ab-b158-97e6033e5f32 · outbound

This paper cites High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning

Reference 2021

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source=pdf_text observed=2026-08-08T04:33:03.149035Z digest=sha256:bf62ce5154ad3c3951e85ade6ef9d7c5cefad254362398622b8323083c44ed93

Observation 23e6e5ad-ea60-4323-b0e2-2c88693cb786 · outbound

This paper cites FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

Reference 2022

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source=pdf_text observed=2026-08-08T04:33:03.152489Z digest=sha256:caba0b70f798d4394ff23c683e06139e22e4eb2997a3abdb2ae1b99c5a970744

Observation 2657ac10-573b-4445-8561-37f7d505242a · outbound

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

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2023

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source=pdf_text observed=2026-08-08T04:33:03.130801Z digest=sha256:5163cf47e52af432eb0848eefaf84a7820beebcd8116dd5fb018e80297bee789

Observation 97e678d7-94d9-4523-829b-a9aa677d8c63 · outbound

This paper cites A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Reference 2024

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source=pdf_text observed=2026-08-08T04:33:03.138220Z digest=sha256:cf4fd329295a7ad326c7ec1228860dca18a0295dc1f1d18fcce625d8a389e348

Observation 0b687636-978f-4d57-9559-d37581970a77 · outbound

This paper cites Proximal Policy Optimization Algorithms.

F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading Proximal Policy Optimization Algorithms

Reference 2025

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source=pdf_text observed=2026-08-08T04:33:03.172594Z digest=sha256:9497bb5692e65ad0a7c4c3a0f21894f2578743b08edf34bf34484f79395c37de

Pith citing papers

No inbound Pith citation observations are available.