Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Empirical Study of Translation Hypothesis Ensembling with Large Language Models
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.11430.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:47.484285Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T22:26:47.133801Z
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 daaad4de-a8d5-47df-8406-54da910de749 · inbound
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis cites this paper.
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis An Empirical Study of Translation Hypothesis Ensembling with Large Language Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T22:26:47.139573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2a25e677-5e52-4639-a666-8b5e28b382ce · inbound
DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model cites this paper.
DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model An Empirical Study of Translation Hypothesis Ensembling with Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:47:47.484285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.