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Paper Citation Record · LEDGER

Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.12664.

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

pith.paper-citation-record.v1
2310.12664 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:58:09.752873Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:34.798504Z

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 2659c781-2d05-4750-8325-f8177923db46 · inbound

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy cites this paper.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:09.752873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.752873Z digest=sha256:654ede13ab26f0d281e9f300e9ee4250e0acae106a9a1ff66c060d2f3bdf1797

Observation 82453b24-590a-4f5e-b3b5-55d21bc1ae60 · inbound

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications cites this paper.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T19:50:40.739450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:50:40.739450Z digest=sha256:e3f572f11fe028bdf330f573618f79f0e59b163e331d0c7c68a0ec7a886efa76

Observation 4d09c65a-3b63-4378-9fec-96234751164d · inbound

LaQual: An Automated Framework for LLM App Quality Evaluation cites this paper.

LaQual: An Automated Framework for LLM App Quality Evaluation Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T16:25:19.004738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:25:19.004738Z digest=sha256:4838596a1e8f82f0d81a64483a1d471c7dfcaebae26b000e5c1689b5fe34531a

Observation f5d8d1e3-bc07-4a54-8c52-7ca71f252548 · inbound

FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming cites this paper.

FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:09:34.800678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T17:11:40.088809Z digest=sha256:21f11a99d253d74e75121723a26dd1a18d87167c826b02eeef7d3e9365781cd0