Paper Citation Record · LEDGER

Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.19740.

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

pith.paper-citation-record.v1
2310.19740 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:12:47.304643Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T23:08:37.144039Z

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 638d01f5-8136-4085-8d0e-74f6584c07c6 · inbound

Do LLMs Agree on the Creativity Evaluation of Alternative Uses? cites this paper.

Do LLMs Agree on the Creativity Evaluation of Alternative Uses? Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:12:47.304643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f170774-89e9-4bea-b4da-74d6022d32e8 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks

Reference 136

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:08:37.147953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 68a54e23-6b77-4cbc-adc2-4295a2e2f1eb · inbound

Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models cites this paper.

Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:56.283907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a661602b-b421-4e15-bf42-8abe0032a569 · inbound

ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation cites this paper.

ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:43.478395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.