Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Effective Disambiguation for Machine Translation with Large Language Models
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.11668.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:53:03.338415Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T20:19:50.123333Z
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 88cfe7e0-38a9-4cfc-af84-e73578bbde1d · inbound
Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks cites this paper.
Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks Towards Effective Disambiguation for Machine Translation with Large Language Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:53:03.338415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72ba4f1f-901d-4d82-b090-e72d15a30ef1 · inbound
Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately cites this paper.
Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Towards Effective Disambiguation for Machine Translation with Large Language Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T20:19:50.129149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d5da51fc-3bff-469f-9cd8-67dca0b449f4 · inbound
ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models cites this paper.
ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models Towards Effective Disambiguation for Machine Translation with Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:11:53.865238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.