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Paper Citation Record · LEDGER

BERT-based Financial Sentiment Index and LSTM-based Stock Return Predictability

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.09024.

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

pith.paper-citation-record.v1
1906.09024 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:51:27.387358Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:23:32.744295Z

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 fdce3968-27ec-43e4-8cd2-b98d1abf0323 · inbound

Integrating Natural Language Processing Techniques of Text Mining Into Financial System: Applications and Limitations cites this paper.

Integrating Natural Language Processing Techniques of Text Mining Into Financial System: Applications and Limitations BERT-based Financial Sentiment Index and LSTM-based Stock Return Predictability

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:23:32.750055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T23:23:32.650628Z digest=sha256:135af7395f6f56eb8d3dbf6d36448fd1ca6c8c397a680feae216c6b355881dcc

Observation 1914d939-6c2c-4c29-9e64-e568f7d5aa24 · inbound

Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy cites this paper.

Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy BERT-based Financial Sentiment Index and LSTM-based Stock Return Predictability

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:27.387358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:27.387358Z digest=sha256:8c3c8759f2546591a9199bca55de4f10b3e00aa03b6b6ae8b4be6f89c54577b1