Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.08808.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:51:52.750466Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:36:27.434263Z
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 851c67ec-feeb-488c-aea2-44d22c07a26c · inbound
A Survey on LLM-as-a-Judge cites this paper.
A Survey on LLM-as-a-Judge Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
Reference 120
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:35:43.951672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4aec9680-629e-4283-b8bc-45e09261fb09 · 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 Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
Reference 191
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:08:34.651161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6c8d3e87-a505-4894-8225-8bfc32a0d4bb · inbound
Powering LLM Regulation through Data: Bridging the Gap from Compute Thresholds to Customer Experiences cites this paper.
Powering LLM Regulation through Data: Bridging the Gap from Compute Thresholds to Customer Experiences Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:51:52.750466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f27e840-ed48-4081-b638-a4dbc9f94157 · inbound
AI Alignment at Your Discretion cites this paper.
AI Alignment at Your Discretion Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:14:57.479008Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fdc0035-c199-4ab5-a018-885e7c3b3cd1 · inbound
Enterprise Large Language Model Evaluation Benchmark cites this paper.
Enterprise Large Language Model Evaluation Benchmark Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:56:34.674305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6561b71-fc11-4d01-bc47-dcf706c93cf2 · inbound
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models cites this paper.
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T00:41:55.985356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 615fee28-b7c6-4363-a9b4-0f3914f2d9c3 · inbound
CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks cites this paper.
CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:36:27.435589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.