Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.18528.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:36:24.712170Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T10:51:25.029093Z
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 4065fcbb-6140-4768-80a3-d1444fff5df0 · inbound
ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? cites this paper.
ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:36:24.712170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba087b6c-49e3-41c1-9aa3-8236cb3ba804 · inbound
PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics cites this paper.
PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T10:51:25.036717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.