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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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=sha256:8689d74566c374ba28d15ff9db7e05a49387718cd5454718ecedd269c199299a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T04:33:03.209928Z digest=sha256:d74a88f35c807313419b23221d449d1e249a95b85f234a68591098db71bdc7fb

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=sha256:9c1ee1e00347e719d97b04c16a60e711da394ce3b1af61d41b70f43f2c43a060

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=sha256:86bd11e9f1b0d5e60087425685dd6940c6d80351427bf6e40313d0ed78562a6f

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=sha256:2ce0a4f5580e73624278d2c13793849be023fe9292eb7c28e0e6b08d6e37eb14

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=sha256:6a5eb33d7ddd38331c850df4e1e7a196a14132644a4468b1b947eb83edebca12

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:f9f5146b66ed909ca5aa7cc89dee7acc2899d53657f81278ae16b4f736a016c4

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=sha256:48e773bbf3c7f6a97a717605c35e3b954cd401c5792ac5fbac9a62110c8e3c12

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=sha256:11f9eb8e43bd4b840199b029c41ab9bf976a992259c870bd3d6edbf98c659142

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T04:33:03.188394Z digest=sha256:3bb3e7d61d355be9b1149fa11cdbd3e9ee945ee791a2f6fd14e34b7a86775ab5

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:b086a68a271fe05d498f096a00706f8684cbfe304ce9e1a47831aa19341d81c3

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=sha256:774c86c828ebdb85f1f605810e0731054c820ecc4cafceeb0f878955e5aaa8bf

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=sha256:9e2cba96f3f1190856ba9de0f98642a8201d574301c2cf497a010f3172e98052

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:f81a7a1d5aa9a1aa3624eebc3dfd9e78565013f0ffc0d36b0bfeee5288413762

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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raw_fallback, observed 2026-08-08T04:33:03.820088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T04:33:03.205709Z digest=sha256:05090bd44d5088ca3f7ddf6c4db90cf436adc61cf58dc625325463a1e9ed70af

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T04:33:03.213348Z digest=sha256:ff5829fd665e6c0357acd13c282c5b807a19f8d671e1d9fbf1990bbaa6ceced0

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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raw_fallback, observed 2026-08-08T04:33:03.788629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T04:33:03.216686Z digest=sha256:f92b24d7525ac6c7834613d80994a2be7df6ce66bcdf47d2e21601ea42935b85

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T04:33:03.219912Z digest=sha256:1df59415122b857f7e803f5f742c2c59faed19d246d07c8f2220a3963c298a25

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T04:33:03.223534Z digest=sha256:4b8b95e698dfa5e22a54265d79e47844a5c8e615a175f844ac0d645bc5cb65cf

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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raw_fallback, observed 2026-08-08T04:33:03.756852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T04:33:03.226448Z digest=sha256:5e2e2be72993710af031c506565dbb5d275392111098e5feed36523dbcc15956

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T04:33:03.229079Z digest=sha256:a07f062ecf5c5c6ec5898647702c28d8a50cbc3f138c50f9078066e7aa17901b

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=sha256:2bfc0c2095a282f04941f28d8a6b8b641a47d58fcb143a97a39b5bafa7a7fb8a

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=sha256:6b276809d3e3312c20dd8ffe3b4fb1ba4c3c2c9431ac75408577c58830e8b84f

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=sha256:8c7e75d5584b9309b0858d46885249ce3cc9c137e15e853140842a6537ea2da6

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=sha256:2b32b17dbac5545ba3e87488ccf1f805b1cf54e75b314810ddcf9fad586fa900

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T04:33:03.142106Z digest=sha256:d9ea126d30f843a19e56f7885f548cc4ea5fb2bcdb8208f000e27d030a2c616e

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=sha256:14f2c741dc799012130b8a4402ff262b55ba23afa1504d03457599ea24b62eaa

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:ee1ca0dba35e84f48820f680ed4d564c20930816618eba0c65ebb132ad7bcb91

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=sha256:445819bbe7af54de87d075e8b49baa541a5d21447b8141cab237a378e85bb121

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=sha256:40d3e958c8506a027d20d1e9dfaf78b565763afa9ff780b66c1a1961df2d36dc

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=sha256:1a54d7e5e4cf753f5362a89ca054659a80ae189dee4ea60b4874516899460ce9

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=sha256:35bedd037548e5fe94e61721f1e8c0dd87a45b809f7924675e4b69df31a39e62

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:f14b8ba531b0b01e41dae5bb7c9ee269e6b10689d27359b3f9bb5866da097776

Pith citing papers

No inbound Pith citation observations are available.