Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.03659.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:32:52.224983Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T21:37:25.636858Z
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 3225700b-9ea8-4814-93aa-86e49107c036 · 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 Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models
Reference 157
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T07:21:39.635852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 78f29695-9015-497c-b563-26b773940e71 · inbound
QuantBench: Benchmarking AI Methods for Quantitative Investment cites this paper.
QuantBench: Benchmarking AI Methods for Quantitative Investment Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:32:52.224983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29bae10c-8b2a-405e-bd63-9dd799ec9337 · 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 Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T21:37:25.638264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.