Paper Citation Record · LEDGER

LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2305.13711.

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

pith.paper-citation-record.v1
2305.13711 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:21:26.014390Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5845ceaf-2264-486b-8a47-37a80cded7f4 · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:47:48.089570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ef38040-ddcb-4866-8b9f-7509d29866da · inbound

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques cites this paper.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:16:17.959486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b709059-0e66-46cb-adbc-02615707342e · inbound

PPLqa: An Unsupervised Information-Theoretic Quality Metric for Comparing Generative Large Language Models cites this paper.

PPLqa: An Unsupervised Information-Theoretic Quality Metric for Comparing Generative Large Language Models LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:29:54.233656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fed3f83-a174-4bed-9481-4cb7bfbe194d · inbound

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks cites this paper.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.345801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8297fc60-5b9b-4af3-b422-632528bf69a5 · 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 LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 146

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:08:37.265522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0c1f4d9-65d2-4510-8dac-c096b93179b6 · inbound

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems cites this paper.

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T14:15:59.533685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4ddd91-5fb0-447d-974f-b8c6d610fc06 · inbound

LLMs to Support a Domain Specific Knowledge Assistant cites this paper.

LLMs to Support a Domain Specific Knowledge Assistant LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T23:35:38.372362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dc45675-9d25-4c49-be35-f7f3e5710963 · inbound

Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs cites this paper.

Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T11:32:47.892435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0959be33-1ff3-4d99-bf62-e0700bccf69b · inbound

An Empirical Study of Evaluating Long-form Question Answering cites this paper.

An Empirical Study of Evaluating Long-form Question Answering LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T10:21:26.014390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32005ca5-4794-4a72-ba54-e22a26fc7317 · inbound

Investigating the Vulnerability of LLM-as-a-Judge Architectures to Prompt-Injection Attacks cites this paper.

Investigating the Vulnerability of LLM-as-a-Judge Architectures to Prompt-Injection Attacks LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:18:09.780825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47ff5ca5-de94-4afb-8dc1-8e649e45097d · inbound

LLM-based Evaluation Policy Extraction for Ecological Modeling cites this paper.

LLM-based Evaluation Policy Extraction for Ecological Modeling LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:17:05.451620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4068be9d-418f-4d2d-8c04-8c37d0b311d4 · inbound

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG cites this paper.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:55.224300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d57e1e38-1499-44f6-92d6-cd04e346b757 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 202

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:38.138381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aabaf863-da9c-452c-a8c8-9587455fc849 · inbound

How Stylistic Similarity Shapes Preferences in Dialogue Dataset with User and Third Party Evaluations cites this paper.

How Stylistic Similarity Shapes Preferences in Dialogue Dataset with User and Third Party Evaluations LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:08.221285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 958f4ec2-d612-42a4-95e4-d117d75e8720 · inbound

AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data cites this paper.

AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.679270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 378b3328-2179-4531-887c-88d7a069cb16 · inbound

Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution cites this paper.

Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T22:54:24.564592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 188ac597-16b6-4ce8-b2f9-11e8718ccef4 · inbound

OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models cites this paper.

OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:30:23.267894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f9bc56a-9784-479c-be9d-002aa8b041c9 · inbound

Data Selection for Multi-turn Dialogue Instruction Tuning cites this paper.

Data Selection for Multi-turn Dialogue Instruction Tuning LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:55:59.683275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 97735431-dc0d-43ed-9288-07d9533441c0 · inbound

PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models cites this paper.

PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:18:15.753099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c1532c2d-ded9-44c0-9eed-4c33cc0ad124 · inbound

Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why cites this paper.

Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:53:58.861365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f4f2a142-e68a-49d4-8bf3-393017b314b5 · inbound

Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why cites this paper.

Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T02:20:17.847138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e43071-7ef2-4fca-a085-aed917c8fdf3 · inbound

Poller: Are LLMs Suitable for Evaluating the Poetry Understanding Task? cites this paper.

Poller: Are LLMs Suitable for Evaluating the Poetry Understanding Task? LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:04:21.536998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0fb1fe54-f9c0-486b-880a-5d035780e7d0 · inbound

OmniPresent: Generating Coherent Presentation Suites from Scientific Papers cites this paper.

OmniPresent: Generating Coherent Presentation Suites from Scientific Papers LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T09:30:41.159870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.