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Paper Citation Record · LEDGER

Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models

As of 8 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2505.23146.

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

pith.paper-citation-record.v1
2505.23146 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:57:32.941189Z

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0bc7bc9-1321-4ee5-a47b-0e7038707d18 · outbound

This paper cites In Proceed- ings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages 1415 – 1425, Doha, Qatar.

Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models In Proceed- ings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages 1415 – 1425, Doha, Qatar

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:57:33.299433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:57:32.880350Z digest=sha256:0a9b74a67d0499b12d8be6362fee3b4b6109495c57bbdb6f8d4543314cc8360b

Observation f108d276-fb85-4013-80a3-8531197f421f · outbound

This paper cites CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP.

Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP

Reference 2020

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:57:33.137715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:57:32.941189Z digest=sha256:433a6f9008a437ec97d7f24890adddb28a2e1d4cd46386fa28e161ed2791c045

Pith citing papers

No inbound Pith citation observations are available.