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Paper Citation Record · LEDGER

Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.00377.

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

pith.paper-citation-record.v1
2205.00377 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:25:47.335559Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T22:39:55.222043Z

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 5b5d1aa7-fc67-42b1-8b60-56b4f3dea203 · inbound

Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions cites this paper.

Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T19:25:47.335559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:25:47.335559Z digest=sha256:71e9010dfc53f2433fa856ad6c27cf54e98c4e66dd62dfdd27bc975ae3e4723a

Observation a9f5dcce-c4b2-4b49-8639-5d6c6d6b51fb · inbound

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit cites this paper.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T22:39:55.227206Z

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=2026-08-07T22:39:55.123790Z digest=sha256:5e4d48b629a8f7def9c9a0eb4eafae020f23e93a8bd789415dc6ba89965f2acc