Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2301.09626.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:21:01.296837Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T21:05:09.589927Z
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 2d890a03-ed4e-41f6-b303-410a47e4a329 · inbound
Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project cites this paper.
Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:05:09.591988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 066431d2-55f1-4e54-aac4-8fce3504ce24 · inbound
When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models cites this paper.
When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
Reference 371
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:15:39.070336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91b7392c-684f-4381-84d1-860805078905 · inbound
In-Place Tokenizer Expansion for Pre-trained LLMs cites this paper.
In-Place Tokenizer Expansion for Pre-trained LLMs Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:50:16.551996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0451780-bf71-4fba-93f3-8b6fac3bb180 · inbound
From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference cites this paper.
From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T11:19:34.523676Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69ed66f7-ee74-4f05-b147-d2ecfbc2ebd7 · inbound
Disentangling Language Modeling and Boundaries cites this paper.
Disentangling Language Modeling and Boundaries Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:21:01.296837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.