Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.12140.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:50:15.161704Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T01:02:15.455041Z
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 a9e224d0-ccc2-4836-af3a-f829c6c2e537 · inbound
HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models cites this paper.
HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:02:15.457728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4f27a165-e706-4775-b889-9cf1309dd501 · inbound
DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning cites this paper.
DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:50:15.161704Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.