Paper Citation Record · LEDGER

QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.03755.

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

pith.paper-citation-record.v1
2402.03755 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:24:00.029735Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9b26b2ae-597a-4bea-aea5-07e3e793b465 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 155

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:21:39.630864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cf7a9554-5842-4b49-9603-5c15c9fc5852 · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 161

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:35:43.615044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 937411cc-5e7b-4eb4-a067-509317a11609 · inbound

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews cites this paper.

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T19:24:00.029735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f7fc62-71f1-412a-a8c3-d316aa8dc8f0 · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T14:06:38.024034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76c77923-135d-4b6f-99c4-fc1a9c072d46 · inbound

Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning cites this paper.

Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:07:39.326597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56aa2bfd-f196-4e65-a17c-be1b2d8aa782 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 189

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:23:15.009119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 23262fa0-68f8-4520-bc5d-0f1343f3720d · inbound

ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism cites this paper.

ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T10:12:19.857477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7ff658e-a0ec-4f29-83c9-0e95b1937c8c · inbound

WebCryptoAgent: Agentic Crypto Trading with Web Informatics cites this paper.

WebCryptoAgent: Agentic Crypto Trading with Web Informatics QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T11:59:32.459300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a1a8182-862a-414a-a19b-296826a38fe6 · inbound

BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation cites this paper.

BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-03T11:29:44.431219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 075407ec-a6ee-470d-bfc1-2c3624294bf1 · inbound

Moira: Language-driven Hierarchical Reinforcement Learning for Pair Trading cites this paper.

Moira: Language-driven Hierarchical Reinforcement Learning for Pair Trading QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:26:05.922494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ec5d7af7-bc6c-4748-a0e7-bbf54841cdcd · inbound

From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery cites this paper.

From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T14:47:36.325982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74bc5bfe-8fa5-4814-a97e-5562d5f8eb5e · inbound

Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces cites this paper.

Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T13:28:19.051441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2c2002f-b064-4b6e-b8f0-0b7aa8732675 · inbound

BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting cites this paper.

BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:48:14.530215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 758e316b-72ad-4be4-94bb-a9cdf7ab4d7f · inbound

BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting cites this paper.

BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:04:59.916339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9dc91d55-84ff-425a-9f60-e242a27151d7 · inbound

Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems cites this paper.

Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:37:25.585221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c3cfad0a-8905-4d19-878e-d5792601378f · inbound

CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market cites this paper.

CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:05:41.302912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.