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Paper Citation Record · LEDGER

How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.18697.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.18697 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:44:33.401751Z

measured 0 of 1 external citation measurements

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.

source=arxiv_source observed=2026-08-12T04:31:46.406470Z digest=sha256:aa37b951e404275506d921ceeefe1190a667a1b419d2fea6d02453e9002dfe37

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T16:36:02.895613Z digest=sha256:08e5f5cf5ecc60354aef574bbedf7a864c2f207d4f9326569a0aca6684e68cda

Observation 66a58e78-7543-4d4e-9d3c-77ab0c83f9a9 · inbound

To MT or not to MT: An eye-tracking study on the reception by Dutch readers of different translation and creativity levels cites this paper.

To MT or not to MT: An eye-tracking study on the reception by Dutch readers of different translation and creativity levels How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-16T05:44:33.401751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:44:33.401751Z digest=sha256:0a8a29cb0279a6bcd0ee8bb3430924ab5ead43dbd555e06f507901014a5c72f0