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Paper Citation Record · LEDGER

Cross-lingual Contextualized Topic Models with Zero-shot Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.07737.

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

pith.paper-citation-record.v1
2004.07737 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:26.193465Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:16:12.793918Z

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 d653b8e5-35f1-4c37-86c6-32f65733cd65 · inbound

Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling cites this paper.

Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling Cross-lingual Contextualized Topic Models with Zero-shot Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:26.193465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:26.193465Z digest=sha256:281d1cc44e8b3e1243f55f37d18f003bafe3756354842a70a9b0a6eb6d9e6638

Observation a2b65828-658d-4240-80c2-1f7113e55335 · inbound

Graph-Augmented LLMs for Swiss MP Ideology Prediction cites this paper.

Graph-Augmented LLMs for Swiss MP Ideology Prediction Cross-lingual Contextualized Topic Models with Zero-shot Learning

Reference 193

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:16:12.805864Z

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=arxiv_source observed=2026-05-08T16:19:02.437117Z digest=sha256:20d3ea6bfb91e6d844b1eeea157cce18336b619b865e907ff47db95092bc0d83