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Paper Citation Record · LEDGER

Stock trend prediction using news sentiment analysis

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1607.01958.

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

pith.paper-citation-record.v1
1607.01958 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:02:47.131129Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T15:56:16.042786Z

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 4034f511-8f3b-4947-ac4d-8ec48612ddba · inbound

Predictive Power of LLMs in Financial Markets cites this paper.

Predictive Power of LLMs in Financial Markets Stock trend prediction using news sentiment analysis

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T13:02:47.131129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:02:47.131129Z digest=sha256:f27242d610936a4aaaa7132abf5877e35bd161f9b6185bbf9f57d15d47b51990

Observation 47f1068f-617e-4e0b-910f-59dc687486ce · inbound

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data cites this paper.

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data Stock trend prediction using news sentiment analysis

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:56:16.047089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:56:15.552144Z digest=sha256:6e527d03c5f00f4eb93d16a520466e31ce586a543233814ca72a8f83b6ecef08