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Paper Citation Record · LEDGER

A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.20293.

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

pith.paper-citation-record.v1
2410.20293 v4

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 2026-08-09T16:38:51.928779Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:31:40.858063Z

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 394af01f-b380-4269-8e53-d06b29e55f86 · inbound

Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection cites this paper.

Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T16:38:51.928779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:38:51.928779Z digest=sha256:9c1486f25ab203d1f88a030094eb6289b14c5e732e3ca46ca5191db5df9e4c8d

Observation bed9685a-6706-4266-99af-4bd2f923e42c · inbound

CL-ISR: A Contrastive Learning and Implicit Stance Reasoning Framework for Misleading Text Detection on Social Media cites this paper.

CL-ISR: A Contrastive Learning and Implicit Stance Reasoning Framework for Misleading Text Detection on Social Media A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:31:40.865623Z

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=2026-08-07T10:31:40.680807Z digest=sha256:cc02357313ba8b2616399183bb90bc72f90b909a7ba7cb9c6bba09a4a0d90eb7