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Paper Citation Record · LEDGER

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization

As of 20 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.18560.

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

pith.paper-citation-record.v1
2507.18560 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:14:42.649320Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

24 of 24 outbound references displayed

  • verified exact3
  • verified fuzzy8
  • unresolved12
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91b3ddf7-5f75-4aef-91cd-51d701589d64 · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 94dd6988-569a-423f-be23-3fe383670c37 · outbound

This paper cites Addressing Function Approximation Error in Actor-Critic Methods.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Addressing Function Approximation Error in Actor-Critic Methods

Reference 6

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Observation 8821322f-9fba-45df-a217-81e12af0c381 · outbound

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

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Reference 8

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Observation fcbcfc28-c5dc-481d-9fc2-293271cf715e · outbound

This paper cites 'Finance Wizard' at the FinLLM Challenge Task: Financial Text Summarization.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization 'Finance Wizard' at the FinLLM Challenge Task: Financial Text Summarization

Reference 10

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verified exact
local_arxiv, observed 2026-08-15T18:14:42.768090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3e86629e-eff8-4b94-8645-f4f6b9585827 · outbound

This paper cites Existence and uniqueness of solutions in the Lipschitz space of a functional equation and its application to the behavior of the paradise fish.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Existence and uniqueness of solutions in the Lipschitz space of a functional equation and its application to the behavior of the paradise fish

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:14:42.603865Z digest=sha256:47e3ddbec72efc1900f2d6885f737fcdca0af4b0fc25c770bdd04292cf48e593

Observation 646b9117-323e-4eda-8184-108f30919d34 · outbound

This paper cites Senti- ment analysis and its impact on financial markets: A com- prehensive review.Review of Quantitative Finance and Accounting, 56(2):345–372,.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Senti- ment analysis and its impact on financial markets: A com- prehensive review.Review of Quantitative Finance and Accounting, 56(2):345–372,

Reference 12

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raw_fallback, observed 2026-08-15T18:14:42.881207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:14:42.607968Z digest=sha256:d03be88c3c900bad99e877eaeb358a1ee55ba26fc090ba18627cfab732bc1786

Observation ba2d6556-6fa4-4681-8fd5-1fd186f1f956 · outbound

This paper cites Adversarial Deep Reinforcement Learning in Portfolio Management.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Adversarial Deep Reinforcement Learning in Portfolio Management

Reference 14

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source=pdf_text observed=2026-08-15T18:14:42.615516Z digest=sha256:81e64a6797d8dd42f52af5ebadc224ad6a0cea6b056b1eb0152226af7169d97d

Observation b47464e7-e6b1-423b-ac7f-cd0a536d1dca · outbound

This paper cites Continuous control with deep reinforcement learning.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Continuous control with deep reinforcement learning

Reference 15

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Observation 5bdcef96-7cc2-4a9f-801c-1c2a31aa372c · outbound

This paper cites L3iTC at the FinLLM Challenge Task: Quantization for Financial Text Classification & Summarization.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization L3iTC at the FinLLM Challenge Task: Quantization for Financial Text Classification & Summarization

Reference 18

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verified exact
local_arxiv, observed 2026-08-15T18:14:42.716864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation baff8fc7-7ec5-4493-b982-fb87108d2e7a · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations.Journal of Machine Learning Research, 22(268):1–8,.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Stable-baselines3: Reliable reinforcement learning implementations.Journal of Machine Learning Research, 22(268):1–8,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6bf56cd8-0a94-49f7-8ecb-238e64f4bc6e · outbound

This paper cites Proximal Policy Optimization Algorithms.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Proximal Policy Optimization Algorithms

Reference 20

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Observation ac3e1e31-61cf-4b29-aa19-a75a3ceefc40 · outbound

This paper cites Sutton, Doina Precup, and Satinder Singh.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Sutton, Doina Precup, and Satinder Singh

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1f8baaa6-09be-4c29-b69c-a096d7a1c7a9 · outbound

This paper cites Exciton-Peierls mechanism and universal many-body gaps in carbon nanotubes.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Exciton-Peierls mechanism and universal many-body gaps in carbon nanotubes

Reference 24

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f9369794-bb7d-46bb-8404-32ca83c7978a · outbound

This paper cites Human- level control through deep reinforcement learning.Nature, 518(7540):529–533,.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Human- level control through deep reinforcement learning.Nature, 518(7540):529–533,

Reference 1952

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b33f146d-bd21-4b20-afd0-ab4444a495cf · outbound

This paper cites an unresolved cited work.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Unresolved cited work

Reference 1999

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:14:42.642174Z digest=sha256:4614ae0e8ec0ac09964e6e85e7a7ef1be6d07c71d5a518416cbe935c1e02d41e

Observation d0681238-ebd7-4be6-9311-2d6bf2ddd45c · outbound

This paper cites Financial News-Driven LLM Reinforcement Learning for Portfolio Management.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Financial News-Driven LLM Reinforcement Learning for Portfolio Management

Reference 2007

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Observation 3e3fbe05-a1a2-4422-ac3a-f29da3f809d3 · outbound

This paper cites CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications

Reference 2009

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 03b09f79-4cd9-4c07-9bde-afc3193b65c5 · outbound

This paper cites Portfolio selection.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Portfolio selection

Reference 2015

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Observation 9ca56d11-18b1-4999-9ab2-58b2a80513d4 · outbound

This paper cites A systematic approach to portfolio optimization: A comparative study of reinforcement learning agents, market signals, and investment horizons.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization A systematic approach to portfolio optimization: A comparative study of reinforcement learning agents, market signals, and investment horizons

Reference 2016

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 62198998-85ac-4164-a94b-a610b1a022d8 · outbound

This paper cites Kulkarni, Karthik Narasimhan, Ardavan Saeedi, and Joshua B.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Kulkarni, Karthik Narasimhan, Ardavan Saeedi, and Joshua B

Reference 2017

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:14:42.595704Z digest=sha256:f7124f8fc07c0805243e0e7e1e4dd39bad3d894e34dda5720c150335a7d4dc84

Observation 49886db3-b39b-487f-b1f6-73943266493e · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 2018

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source=pdf_text observed=2026-08-15T18:14:42.587669Z digest=sha256:ea73fd3b042424e25c5a094ecc1b9fd50626f9652634ae255275e0f23f56d2ee

Observation 47a4165d-c56d-49fa-8567-34905002a4a4 · outbound

This paper cites Brunnermeier.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Brunnermeier

Reference 2019

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raw_fallback, observed 2026-08-15T18:14:42.924362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T18:14:42.567960Z digest=sha256:4d7e127af3097af64700c769d5b5cff3e7757bca4b5cadd73cc766d13d4f337e

Observation 41988749-641e-49fc-bc4c-f69fdf0b7155 · outbound

This paper cites Large Language Models in Finance: A Survey.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Large Language Models in Finance: A Survey

Reference 2021

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:14:42.611939Z digest=sha256:73428887844f622b711fcc8b4ba7804fc070fefbcd9e98d748b22970d21bccb0

Observation 67616639-a94e-477c-b118-78443e71820b · outbound

This paper cites Deep direct reinforce- ment learning for financial signal representation and trad- ing.IEEE Transactions on Neural Networks and Learning Systems, 28(3):653–664,.

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization Deep direct reinforce- ment learning for financial signal representation and trad- ing.IEEE Transactions on Neural Networks and Learning Systems, 28(3):653–664,

Reference 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.