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Paper Citation Record · LEDGER

Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.11951.

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

pith.paper-citation-record.v1
1911.11951 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 2026-08-08T18:47:37.986058Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T18:47:40.319966Z

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 3d95870c-4ffe-413f-ab24-a589dcbd4e46 · 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 Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection

Reference 19

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=sha256:49f4d7369ad2a8c08ae4e75168b5062b4735cc23ed3d77c884c17453ded670f2

Observation 59ce9f40-57db-4e54-95d7-0b5e8e1ba426 · inbound

Large Language Models and Social Media Information Integrity: Opportunities, Challenges, and Research Directions cites this paper.

Large Language Models and Social Media Information Integrity: Opportunities, Challenges, and Research Directions Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-08T18:47:40.325667Z

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=2026-08-08T18:47:37.986058Z digest=sha256:40bb43058a2a55478a637c05338ea43a3817921e3c29cf65e18f6c896b93730b