Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Cross-Language Transfer Learning, Continuous Learning, and Domain Adaptation for End-to-End Automatic Speech Recognition
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.04290.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-23T16:36:02.895613Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T16:38:11.399235Z
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 57faec51-d95a-4b72-bea0-6e15f23715d7 · inbound
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research cites this paper.
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research Cross-Language Transfer Learning, Continuous Learning, and Domain Adaptation for End-to-End Automatic Speech Recognition
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T16:38:11.402616Z
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.
Observation 44fc9609-299b-4a01-9ac7-4be24844fe16 · inbound
Closing the Speech-Text Gap with Limited Audio for Effective Domain Adaptation in LLM-Based ASR cites this paper.
Closing the Speech-Text Gap with Limited Audio for Effective Domain Adaptation in LLM-Based ASR Cross-Language Transfer Learning, Continuous Learning, and Domain Adaptation for End-to-End Automatic Speech Recognition
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:05:52.078130Z
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.