Paper Citation Record · LEDGER

Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.05627.

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

pith.paper-citation-record.v1
2310.05627 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:36:13.005869Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:55:19.675069Z

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 4798632a-8e7e-42f8-b928-85a4c0e7d6fa · inbound

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation cites this paper.

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:55:19.678791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 902159bd-9339-4255-bf95-2dd6db90815b · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:12:20.552067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b57e3d32-1c10-4a5b-b4b0-33f703915d86 · inbound

Can LLM-based Financial Investing Strategies Outperform the Market in Long Run? cites this paper.

Can LLM-based Financial Investing Strategies Outperform the Market in Long Run? Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T22:30:30.836489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f346543a-fcd8-41dd-8c04-09e5ce948df7 · inbound

From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.

From Time Series Analysis to Question Answering: A Survey in the LLM Era Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:15.999927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 138b671c-7105-419d-9c52-1a4adcf31019 · inbound

A Survey on Data Security in Large Language Models cites this paper.

A Survey on Data Security in Large Language Models Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T05:05:00.323042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41335bed-8c5e-44a4-964d-fcf93956ef53 · inbound

TradingMoE: Routing the Right Experts in Evolving Markets cites this paper.

TradingMoE: Routing the Right Experts in Evolving Markets Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T00:36:13.005869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.