Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:56.382686Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 15 inbound Pith citation observations for arXiv:2506.07962.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:56.382686Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:41:10.536734Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:19:53.634812Z
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 70a57325-53df-4dd0-a6cd-dbb5bec75018 · outbound
Correlated Errors in Large Language Models write newline
Reference 1
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Correlated Errors in Large Language Models F., Joachims, T., and Antonio, A
Reference 2
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Correlated Errors in Large Language Models Upwork job postings dataset 2024 (50k records), 2024
Reference 3
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Observation b2e59c5d-8253-4039-b930-1f5791bef919 · outbound
Correlated Errors in Large Language Models Hiring under congestion and algorithmic monoculture: Value of strategic behavior
Reference 4
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Reference 5
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Correlated Errors in Large Language Models A., Kumar, A., Jurafsky, D., and Liang, P
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Correlated Errors in Large Language Models Ecosystem Graphs: The Social Footprint of Foundation Models
Reference 7
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Observation 6a7e76d8-601d-4646-944c-957b58e7d4ab · outbound
Correlated Errors in Large Language Models Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
Reference 8
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Correlated Errors in Large Language Models and Hellman, D
Reference 9
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Correlated Errors in Large Language Models Auditing the Use of Language Models to Guide Hiring Decisions
Reference 10
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Observation fe05791d-4e96-4706-8420-c4f3e199ef7d · outbound
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Correlated Errors in Large Language Models Great Models Think Alike and this Undermines AI Oversight
Reference 12
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Observation 8434a646-576b-4526-911c-365e727e2c73 · outbound
Correlated Errors in Large Language Models Auditing work: Exploring the new york city algorithmic bias audit regime
Reference 13
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Observation dc3f0758-e6dd-4df5-b157-ba2f84a2d21b · outbound
Correlated Errors in Large Language Models A Survey on LLM-as-a-Judge
Reference 14
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Observation 582b507b-e467-49f8-a42b-b2a6307aa3fd · outbound
Correlated Errors in Large Language Models S., and Chouldechova, A
Reference 15
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Correlated Errors in Large Language Models Measuring Massive Multitask Language Understanding
Reference 16
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Observation 7d677d86-1727-4533-a373-28bcdc90f35a · outbound
Correlated Errors in Large Language Models Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
Reference 17
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Correlated Errors in Large Language Models Algorithmic pluralism: A structural approach to equal opportunity
Reference 18
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Reference 19
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Reference 21
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Correlated Errors in Large Language Models When can llms actually correct their own mistakes? a critical survey of self-correction of llms
Reference 22
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Correlated Errors in Large Language Models and Raghavan, M
Reference 23
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Correlated Errors in Large Language Models A., Manning, C
Reference 24
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Correlated Errors in Large Language Models Sparse Autoencoders for Hypothesis Generation
Reference 25
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Correlated Errors in Large Language Models Llm evaluators recognize and favor their own generations
Reference 26
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Correlated Errors in Large Language Models and Garg, N
Reference 27
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Correlated Errors in Large Language Models and Garg, N
Reference 28
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Correlated Errors in Large Language Models Do These LLM Benchmarks Agree? Fixing Benchmark Evaluation with BenchBench
Reference 29
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Observation 87583b3c-c713-45e3-add1-2cd721cd6157 · outbound
Correlated Errors in Large Language Models Competition and Diversity in Generative AI
Reference 30
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Observation e05a9890-8eb3-4c57-818d-d7e9bc07600c · outbound
Correlated Errors in Large Language Models K., Ahmad, A., Andreetto, M., Prabhakaran, V., Prabhu, U., Dieng, A
Reference 31
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Observation eef06558-03a2-436e-b2e5-15ecc7d920cf · outbound
Correlated Errors in Large Language Models Large language models are inconsistent and biased evaluators
Reference 32
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Observation 40175e95-6296-4094-95e5-4c8f9d32365e · outbound
Correlated Errors in Large Language Models LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity
Reference 33
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Correlated Errors in Large Language Models Law and the emerging political economy of algorithmic audits
Reference 34
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Correlated Errors in Large Language Models Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Reference 36
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Observation dc84554f-f5ac-46c7-9ab3-8b4ce16d6715 · outbound
Correlated Errors in Large Language Models Evaluating Generative AI Systems is a Social Science Measurement Challenge
Reference 37
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Observation 5a80a956-6ae0-4b42-8e3b-5e1161634dbc · outbound
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Correlated Errors in Large Language Models Self-Preference Bias in LLM-as-a-Judge
Reference 39
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Observation b2f468dc-1180-48b3-b383-c073f710ffd0 · outbound
Correlated Errors in Large Language Models Toward an Evaluation Science for Generative AI Systems
Reference 40
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Correlated Errors in Large Language Models We're Different, We're the Same: Creative Homogeneity Across LLMs
Reference 41
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Correlated Errors in Large Language Models and Horton, J
Reference 42
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Correlated Errors in Large Language Models Algorithmic writing assistance on jobseekers’ resumes increases hires
Reference 43
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Reference 44
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Reference 45
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Reference 46
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Reference 47
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Reference 48
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Reference 49
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Reference 50
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Reference 51
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Reference 52
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Task-Dependent Evaluation of LLM Output Homogenization: A Taxonomy-Guided Framework Correlated Errors in Large Language Models
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LACE: Lattice Attention for Cross-thread Exploration Correlated Errors in Large Language Models
Reference 17
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Reference 30
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Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation Correlated Errors in Large Language Models
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Reference 34
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Are Diversity Metrics Measuring Diversity? A Capability-Controlled Audit of Majority-Vote Gain in LLM Ensembles Correlated Errors in Large Language Models
Reference 46
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Evaluator Ensembles Under Reward Hacking: Covariance Geometry and Finite-Search Guarantees Correlated Errors in Large Language Models
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