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Paper Citation Record · LEDGER

ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.07934.

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

pith.paper-citation-record.v1
2005.07934 v2

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:27.256014Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T21:45:46.496125Z

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 f98bed9e-7e66-4073-ad75-1f6be89d7689 · inbound

Bangla Grammatical Error Detection Leveraging Transformer-based Token Classification cites this paper.

Bangla Grammatical Error Detection Leveraging Transformer-based Token Classification ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:45:46.501975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-12T21:45:46.290050Z digest=sha256:598f03f474d8d69bd6bd52ea609dddae329109de22af5671d661ee29e8d5d73b

Observation 7e09d6c1-7618-4dff-8437-4893850133fb · inbound

Are Large Language Models Good at Detecting Propaganda? cites this paper.

Are Large Language Models Good at Detecting Propaganda? ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.256014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.256014Z digest=sha256:6143e105e216e78e77303f4d2a9d3bb5001194b17684d65a7832d69fb9b21893