Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.18697.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:31:46.406470Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T16:38:11.496436Z
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 b513d690-ff13-4c86-8bde-7348eabaebe6 · inbound
A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls cites this paper.
A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:31:46.406470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cfc5ed7-7b89-441f-8b69-02ccfb58740f · inbound
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research cites this paper.
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs
Reference 151
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T16:38:11.499066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.