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Paper Citation Record · LEDGER

Application of Natural Language Processing in Financial Risk Detection

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.09765.

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

pith.paper-citation-record.v1
2406.09765 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:22:15.761981Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:55:27.754390Z

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 5f3afcb2-b8ad-4e47-b17c-0a9a92ce4834 · inbound

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions cites this paper.

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions Application of Natural Language Processing in Financial Risk Detection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T18:22:15.761981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:22:15.761981Z digest=sha256:0aef8b9bda3341adaac6e19e87732ca02eef6fe4d13e10b620b471f62d218f3f

Observation ee095d08-e844-432d-8229-7bced058ba94 · inbound

Feature Augmentations for High-Dimensional Learning cites this paper.

Feature Augmentations for High-Dimensional Learning Application of Natural Language Processing in Financial Risk Detection

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:55:27.869941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:55:27.067042Z digest=sha256:ee434a504b2515b0c19979e776c206b907f2fe9ebd089277bfb7737439d321b2