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Paper Citation Record · LEDGER

The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.02000.

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

pith.paper-citation-record.v1
2204.02000 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:38:33.306376Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:38:33.742812Z

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 a0999330-4d34-4c9d-abb0-0f6c62836b6d · inbound

FarExStance: Explainable Stance Detection for Farsi cites this paper.

FarExStance: Explainable Stance Detection for Farsi The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation

Reference 2018

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T12:38:33.747909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:38:33.306376Z digest=sha256:2ec2b7563afaec41e211a89b740688e4d2a8aea9ccd5f51b8df05085d61d27e7

Observation 2a76adde-1ca0-4c5c-9e75-409daa1a6e6d · inbound

Angry but Accurate: Detecting and Profiling the Counter-Misinformation Ecosystem on Twitter cites this paper.

Angry but Accurate: Detecting and Profiling the Counter-Misinformation Ecosystem on Twitter The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-12T06:16:59.229087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:16:59.229087Z digest=sha256:a62046ac7c1e1663eaa92dc653667bfc96eda9befe5cafa39e3beca98e0682d9