Pith. sign in

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.118689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.118689Z digest=sha256:12eb257820d9d7571b83a4901056411c26f961102180c7cbcc644858c8f0363f

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

Resolution
verified fuzzy
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=sha256:0d5e8f6d536d8d993bf5f7403c01e3fac73aa48a3793594a31ea2e1eff7ec4d9

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.134444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.134444Z digest=sha256:a29ed6945990dc82c312540e4b430ecafc8457041d5f21e3bb5ba934e62c9741

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.145568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.145568Z digest=sha256:ca217a8e747026176d33990319abdf4a72943ad07767d5992d8f28f08aa07cb8

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.160044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.160044Z digest=sha256:f4b1ddfc61f99894f7ce258723232477c6bc1831c3f625f3d3a8501ccb7fab7b

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.163288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.163288Z digest=sha256:43065b51332ee74efed3ad266dea6bc10a7f47c32f1e7a51ddf5540ab39da062

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.176022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.176022Z digest=sha256:3e071ea319d590ca1ddee358ac366192b0075547366db8682e51884fad161777

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.182260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.182260Z digest=sha256:921f43c7fb3acbb4a748aa94b90f55befa69056fb403ecc6fe4b7e0836e801c7

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.185470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.185470Z digest=sha256:58c8e6e8c7701363fa35bb23276e564541f6ba461240dada84b86ebd98a5e19b

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

Resolution
verified fuzzy
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=sha256:654863fe959fef9b9d31f479d0961982693484b743e7df3ce219e4c408bba1e7

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.192003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.192003Z digest=sha256:e5cf3ddad34bf1aefd6557ab52d30aa4aa2aba5590499e0a841a3fd67bcfdbc7

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.195260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.195260Z digest=sha256:bb2f6dba304a6a8999c283a567fa256725cfe070f37efaabc4823909ea6697ad

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.198935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.198935Z digest=sha256:9f51a716787daae6b71a340e176346335c65cb5266c9d0f6c02c37cdb68d0da4

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.202501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.202501Z digest=sha256:02e828563a50558a149a8d5f6cd34be7aa5ee0b8b6b204e27edad6551e2c0df5

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.205709Z digest=sha256:65fc524f023fdb4dae507ff41188439fdcc053ba030fb3cd86fb7b8e04b83276

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

Resolution
verified fuzzy
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=sha256:4565a27b0c348549e3a87ad06b3998d7c2451b86f9d5949f1d22185d204082cf

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.216686Z digest=sha256:92391fcbf674fe5aa08097090026c0ef3cd8afe9f24be08912bdfe26f157a6fa

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:33:03.777771Z

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=sha256:72c803903cfad65fe074c764723a460692e70c4cc6b1e12617de0ac44991a975

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

Resolution
verified fuzzy
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=sha256:6376641e58f9137f2b268c0f266b7e0dab396e249fe84682716426e0dc4f5f50

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T04:33:03.226448Z digest=sha256:17fb73b445f3dc12a1fe6f63e48b517a6c73d75cacdc3efffd9c86856c468bc0

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

Resolution
malformed identifier
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=sha256:844760d137a30d12189c671fff5ed62aab523736666ca66ad52058c3eb1bd264

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.179112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.179112Z digest=sha256:41c582cba498947c008bcaadc82b02e967c5cbbcd68ee5f18b3f96ac67d3cfda

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.166384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.166384Z digest=sha256:60a083a73115538a5acba9e0e2a65afabd387d7263fe2f0b365119bedea741a9

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.169587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.169587Z digest=sha256:19b39cd5cb7958c7cfc864cd31899f8acfddffd98b67938ca97e2fa7504d44cb

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.122982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.122982Z digest=sha256:7b597729f69061fea151eb6b7a5300626965708510a15af0980b97666f495894

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

Resolution
verified fuzzy
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:d2906ba0142001c6104ce24fa8b9dbc1f6144736f4cc537f28b1b83cd931a3dc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.127267Z digest=sha256:9626875d1d0e98937038b5b65c877f3c27d15a8fdecce9dd14ba0aae2c1cf337

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.156125Z digest=sha256:6ecae3dd9b3b435798cf7729a65d0cd4128cebe6fb9b5249d8e8003975b2c712

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.149035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.149035Z digest=sha256:811954403cf80b19095a335de5d9f5ac29d128eddc7c982bbe46340307e9276a

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.152489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.152489Z digest=sha256:5433441a04d0c39f5ccb9e05b161ed4e17bd94ff631b3ea9d00bb7bfda5cbcc6

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.130801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.130801Z digest=sha256:ee1816ec05a061aee45e941df001d63f933b45c28e79f14b79d9bd7c267ff20c

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.138220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.138220Z digest=sha256:75ca358bd48c0fa9bf11da52740ea0c068a96ef5f1a767263b136b31851e7611

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

Resolution
unresolved
no resolver link, observed 2026-08-08T04:33:03.172594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:33:03.172594Z digest=sha256:d8bf58f3867f978e377a7e0859ada841e05854dc36b63e1f95ea6c67b204e164

Pith citing papers

No inbound Pith citation observations are available.