Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.09945.
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 2026-08-16T11:12:00.923505Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T04:31:46.846793Z
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 9eaf05cd-0266-4c79-8465-9597ac4d6fc7 · inbound
HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts -- A Case Application of Yantie Lun cites this paper.
HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts -- A Case Application of Yantie Lun Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:10:13.637164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2025f127-907e-4f57-9c02-4c6d4c0b9554 · 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 Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T04:31:46.851982Z
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 d79269f7-1625-4814-bfc6-42240af93c09 · inbound
The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation cites this paper.
The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:12:00.923505Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.