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Paper Citation Record · LEDGER

GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.03079.

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

pith.paper-citation-record.v1
2309.03079 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:32:16.529365Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T14:47:36.304833Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 911f919b-b621-4a5e-a73a-246224900cbc · inbound

FinMultiTime: A Four-Modal Bilingual Dataset for Financial Time-Series Analysis cites this paper.

FinMultiTime: A Four-Modal Bilingual Dataset for Financial Time-Series Analysis GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:32:16.529365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:32:16.529365Z digest=sha256:b6de57fb42afe6548e7f16312a3d1e87c0922d7668f53635f1023727f87d6beb

Observation 762f6e56-5f05-4018-b843-5a2b56dcccc6 · inbound

Integrating Large Language Models in Financial Investments and Market Analysis: A Survey cites this paper.

Integrating Large Language Models in Financial Investments and Market Analysis: A Survey GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T21:53:05.707394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:53:05.707394Z digest=sha256:71f2c872d8d7f637b43bfdcac53a7f770e9de9959504cc2f95b4834891f18b38

Observation 76632305-f609-477b-a95b-ff9db775e917 · inbound

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective cites this paper.

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:35:59.150026Z

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.

source=pdf_text observed=2026-05-10T17:05:40.178716Z digest=sha256:fb9f6fff6ac8b7095e25a53430020d1b6fa69d6732de3df370db1766b42c4b07

Observation ec45ee6e-b130-4635-87f0-6dc9ceebacd6 · 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 GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-19T14:47:36.306912Z

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.

source=pdf_text observed=2026-05-19T14:45:07.168330Z digest=sha256:da4295ef4e3d46701a99b8654f0ab6cbb07cbff23c4604bd7304bb6a348c9555