Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
State of What Art? A Call for Multi-Prompt LLM Evaluation
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2401.00595.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:01:31.410067Z
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
3
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 9c1c3d5e-eab5-40a0-b9de-b33195ebaef3 · inbound
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models cites this paper.
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:13:59.976576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a1f4b398-d6c4-4504-8d34-9ade7a41a5a4 · inbound
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution cites this paper.
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:57:16.378396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 003918c0-7574-4de8-9d64-a19d8f777951 · inbound
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 106
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:34:43.111481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e7fe15f2-ee82-42fd-9a94-9449eb690554 · inbound
Holmes: A Benchmark to Assess the Linguistic Competence of Language Models cites this paper.
Holmes: A Benchmark to Assess the Linguistic Competence of Language Models State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:08:45.143108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 004717d1-fbf6-4a2a-b95b-438caa3ec91d · inbound
Lessons from the Trenches on Reproducible Evaluation of Language Models cites this paper.
Lessons from the Trenches on Reproducible Evaluation of Language Models State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 137
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T18:44:49.776794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 67f2ded3-90f4-4e78-aa56-2b349ed0a4ee · inbound
JuStRank: Benchmarking LLM Judges for System Ranking cites this paper.
JuStRank: Benchmarking LLM Judges for System Ranking State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:59:49.571352Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b4d1b1f-c45e-4d0d-bf19-4c528f644464 · inbound
Drama Llama: An LLM-Powered Storylets Framework for Authorable Responsiveness in Interactive Narrative cites this paper.
Drama Llama: An LLM-Powered Storylets Framework for Authorable Responsiveness in Interactive Narrative State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:12:47.279466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 810e7897-981a-4a76-afef-92a24701ff33 · inbound
LCTG Bench: LLM Controlled Text Generation Benchmark cites this paper.
LCTG Bench: LLM Controlled Text Generation Benchmark State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:45.078859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebf17e8a-803a-46f9-9a86-1f73a7e839db · inbound
Evalita-LLM: Benchmarking Large Language Models on Italian cites this paper.
Evalita-LLM: Benchmarking Large Language Models on Italian State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:43:45.343766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fff97b18-4589-4e30-a1df-0d7823c72029 · inbound
Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation cites this paper.
Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:06:55.118860Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f9febc8-c580-4f34-857e-c867ebda099f · inbound
Personalizing Education through an Adaptive LMS with Integrated LLMs cites this paper.
Personalizing Education through an Adaptive LMS with Integrated LLMs State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:50:19.286087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13e0382f-c17c-4226-8a95-c333b5fe7729 · inbound
MEQA: A Meta-Evaluation Framework for Question & Answer LLM Benchmarks cites this paper.
MEQA: A Meta-Evaluation Framework for Question & Answer LLM Benchmarks State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:01:31.410067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83b4c6f7-85f5-47d4-817c-e8189db2350e · inbound
The Leaderboard Illusion cites this paper.
The Leaderboard Illusion State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:22:55.599051Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 853fbbd7-28bc-4a13-adbd-0e86dd15e784 · inbound
Measuring Evaluation-Context Divergence in Open-Weight LLMs: A Paired-Prompt Protocol with Pilot Evidence of Alignment-Pipeline-Specific Heterogeneity cites this paper.
Measuring Evaluation-Context Divergence in Open-Weight LLMs: A Paired-Prompt Protocol with Pilot Evidence of Alignment-Pipeline-Specific Heterogeneity State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-08T22:04:18.072955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7d7e74f0-daba-4236-9275-bd8ee43cafac · inbound
Predicting Performance of Symbolic and Prompt Programs with Examples cites this paper.
Predicting Performance of Symbolic and Prompt Programs with Examples State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T01:10:51.491532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6d86b257-40e5-4b84-81d0-4713d9f46cc5 · inbound
SafetyRepro: Configuration-Conditional Rank Instability on Alignment Benchmarks cites this paper.
SafetyRepro: Configuration-Conditional Rank Instability on Alignment Benchmarks State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T22:54:00.986796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7d68ccd6-9171-44d5-b05f-9d322032e90c · inbound
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting cites this paper.
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 77
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T02:07:33.257770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 51592a10-a247-47d2-a4b1-a9a8a46924ea · inbound
Latent Confidence Alignment for LLM Self-Assessment cites this paper.
Latent Confidence Alignment for LLM Self-Assessment State of What Art? A Call for Multi-Prompt LLM Evaluation
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T08:39:41.782645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.