Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DHP Benchmark: Are LLMs Good NLG Evaluators?
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.13704.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:35:42.891112Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T17:35:44.094403Z
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 fe3adea1-8cde-4648-8674-774fcc8d3085 · inbound
A Survey on LLM-as-a-Judge cites this paper.
A Survey on LLM-as-a-Judge DHP Benchmark: Are LLMs Good NLG Evaluators?
Reference 168
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:35:44.098558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ba2eda73-8fe5-4972-a8bd-8add8a617f16 · inbound
The Science of Evaluating Foundation Models cites this paper.
The Science of Evaluating Foundation Models DHP Benchmark: Are LLMs Good NLG Evaluators?
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:35:42.891112Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e61eff3a-c10c-49e2-9088-3eae42c15491 · inbound
Semantic Needles in Document Haystacks: Sensitivity Testing of LLM-as-a-Judge Similarity Scoring cites this paper.
Semantic Needles in Document Haystacks: Sensitivity Testing of LLM-as-a-Judge Similarity Scoring DHP Benchmark: Are LLMs Good NLG Evaluators?
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:51:03.647068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.