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Paper Citation Record · LEDGER

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

As of 8 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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source=pdf_text observed=2026-08-08T04:33:03.118689Z digest=sha256:10affe6a796d509afe223904eff53c3d977d0d5e8e927596fa7ae812ce2ac917

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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raw_fallback, observed 2026-08-08T04:33:03.810209Z

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:c407709a8741f1bb231eca553f0dea4f204cffcd97402aa9ce916cd49a436db5

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:c80f0e0d74d802d9ef0d79c69afe22ac49c3d283692c8d123afc6543bdb9e0fe

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=sha256:5d5803bb5c8094567b80b892d6844c167267952270158ea6dcf1923c1ffd6a67

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=sha256:184cae28e4571abfbc19aeaf0ffe43c4290362724e1c0f08159934682b78b7e2

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=sha256:0fe4cede75b6f780b46b7c7401ce2301642302b6498d0b28b5d323cf2ef46044

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=sha256:1d3d17d0e033e10a9103d9f5321addbb17050d24833ddf8e57b78b02b636d402

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:c26d72269b3826a00c43a6f2cbeb89d153c30e0b39a2ee9138e2d553299ac982

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:cf678578235a10b813cd10fe1660172e9888d941f73e82fffaf26dd06f36b080

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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raw_fallback, observed 2026-08-08T04:33:03.828959Z

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=sha256:983ed48c35b560cf4ece706b8da80a8eb2facfb28e9bca8b3dd4e4d3103807cc

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:c82ac67a6de92c881e2a9199916f0fd4d6aff0e12031c244709d489cc36c26ae

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=sha256:8501e0db91c5ee87fb0c25c715f588dab57904032723931847660eece58ee38c

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:b768d5e5440df5621050bfbcb55a6bbb9d92e272c7b8113f39c2725a55ab701c

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=sha256:451564b63bea6529bef9a1a2e08f87c8314616698c1962e928a3479e0365a4f3

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=sha256:8952c64db3657a08c49d6b7a8f60efa26bdf1c28fdb506844ae35c1e8aad0dcc

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=sha256:04d7c51c776aab0c6a3889ecbd6b3e52894371fd3cb6c78165376700d9f171ba

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:d4fd5389b179c8f96a400409e701dd262c2708915dc1150413b61cf81fa1c690

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:c351ecbc3162873884fa8d9324428548aef06c3aaf18c47e8ca800fd9ac95e81

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=sha256:1f9c2de5ca82b3b8a3a2b0914faaf470662b3cc7986b6c9627a6dbc400b575ca

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=sha256:8d238b3b34a8b5b35126d4cfcb430c2715425b1f690558ecea75c7137c1ee94a

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=sha256:255def023e9dde6b283cc352123761873284ce4bd8ceb2bbc09f79b888093fc1

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:d0244c4efcc4c6ab1f40768ad7e629b74c82a254da227ae071fca7285fcccd34

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:c0053aae9ab2fc88a7ae2fd1ea2938ecbea8d130c4c116c2f7ee10bad376fb60

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=sha256:6e71fdeced8e8eaa80c3a03914cb97156a04987411008d901e3d3fff427fcbfd

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=sha256:67a8e1a608abe3a63b2c103459cdadb1dfaf013ba252ea96f8573a54425085f8

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:ac5a529c22d1fe7ec379f06d87efc60cc7d734a88b92753febbbffb09ec00209

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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no resolver link, observed 2026-08-08T04:33:03.127267Z

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source=pdf_text observed=2026-08-08T04:33:03.127267Z digest=sha256:d99ddd569c412d95c8301fe9a062ccd85ffd45734d2a784c72af5d832a8a5258

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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source=pdf_text observed=2026-08-08T04:33:03.156125Z digest=sha256:bb17a8de1f3f2b265f6e23aedd305bda98b942ba682b4f501e4f3ef829a4f47c

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=sha256:3b19bb4f038f7d4501fc5257cf927c1c6633e62c3e3e4be53c0a91d862dcfa60

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:ba3465143341f53491b532cd673ca3b8112a642ab567afe9b931642668abe6be

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:c4cbc5c326a35787b7f812355d2a3dae8f7d9f6b77a85571968985df00e404eb

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:f5117da41c13ef154bb71b729aa0c9607d346e240ff883ca2a1996e1e327cb7b

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=sha256:0b4d957907f83cc6b5fa6b667c1688b909bff3435a161ef5f933924f161d26f2

Pith citing papers

No inbound Pith citation observations are available.