Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.05474.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T11:40:46.165547Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T11:43:23.618139Z
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 c3007809-8ac5-4f77-84f5-b8b4cb8834f9 · inbound
MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages cites this paper.
MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:18:57.205761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 404a5518-e266-49cb-8908-b5f07c080c26 · inbound
Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsing cites this paper.
Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsing Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:59:25.996644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7970747f-a1dd-46a4-8766-3eea9ac45726 · inbound
Bandwidth-Efficient and Privacy-Preserving Edge-Cloud Many-to-Many Speech Translation cites this paper.
Bandwidth-Efficient and Privacy-Preserving Edge-Cloud Many-to-Many Speech Translation Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T11:43:23.619721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.