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Paper Citation Record · LEDGER

The Random Forest Model for Analyzing and Forecasting the US Stock Market in the Context of Smart Finance

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.17194.

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

pith.paper-citation-record.v1
2402.17194 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:39:27.585065Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:52:26.584990Z

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 abc4b4e2-4e79-42ef-83ba-99fecd29cee6 · inbound

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction cites this paper.

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction The Random Forest Model for Analyzing and Forecasting the US Stock Market in the Context of Smart Finance

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-08T14:39:27.585065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:39:27.585065Z digest=sha256:5092d55f0e13c3f2dc400319c5c434597e78a16b2a593f9ae76336e93b49da25

Observation 9b0875b0-e90f-4aab-b125-59c81b285942 · inbound

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting cites this paper.

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting The Random Forest Model for Analyzing and Forecasting the US Stock Market in the Context of Smart Finance

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:52:26.587419Z

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=2026-05-23T02:49:40.277048Z digest=sha256:431e8aac35266b2f6aab4a41f226187711815c7342b7f3a8ef4bb78eb1979e18