Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T06:48:16.071186Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2601.22068.
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 2026-08-03T06:48:16.071186Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
19 of 19 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 162f9fca-8fed-43e3-93e4-525f2fc0d483 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b581bc9-1e96-4602-8359-d83948466c46 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75232249-cae0-4b5d-b518-5bce51afd340 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles Toy Models of Superposition
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e5805ce-1b2a-4601-8454-cc6f0b4a61e4 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles Mistral 7B
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d38f3d1c-90f2-4953-954a-93e1ed60e6b9 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles J., Halbheer, M., Becker, A., Narnhofer, D., Aasen, H., Schindler, K., and Turkoglu, M
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2904e053-10b9-4d57-90a3-c80522d78a7d · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles LLaMA: Open and Efficient Foundation Language Models
Reference 15
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Unavailable: canonical work link unavailable.
Observation c4fa1086-552c-4344-9d78-966dd1b2a338 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55f19760-1ca3-4352-80cb-e00b074646c2 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles LoRA ensembles for large language model fine-tuning
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ed4a578-88c0-4ee5-87a8-a7efa43994a7 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles Unresolved cited work
Reference 2009
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Unavailable: canonical work link unavailable.
Observation 4e91d25a-e3c6-4dc1-b7fe-fd8d6afdbd46 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles Small singular values matter: A random matrix analysis of transformer models.arXiv preprint arXiv:2410.17770,
Reference 2013
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Unavailable: canonical work link unavailable.
Observation 71c31178-5364-4a2f-8b1f-a97f53e9069f · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 2014
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d266d02-7a44-49fb-924b-fa60ea07adb8 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles On the Opportunities and Risks of Foundation Models
Reference 2015
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Unavailable: canonical work link unavailable.
Observation 92bac2f4-8e3d-45c7-86c0-164d4271cf66 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles The Power of Scale for Parameter-Efficient Prompt Tuning
Reference 2017
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Unavailable: canonical work link unavailable.
Observation 259e9184-1ec9-49de-8bd0-6ccc7fb9cc35 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Reference 2019
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 110782ad-5c59-4e23-8986-064f930d11ed · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles OSoRA: Output-Dimension and Singular-Value Initialized Low-Rank Adaptation
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e39e09e-0c8e-4a4f-83a0-9b0b4975d3b6 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles Qwen Technical Report
Reference 2021
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Unavailable: canonical work link unavailable.
Observation 68a13a1b-0d55-46e8-8b36-d22286696a32 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Reference 2022
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Unavailable: canonical work link unavailable.
Observation c11688b4-da3a-4471-9271-975545bc857e · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles Ablation Study: Number of Ensemble Members Both accuracy and calibration improve significantly from M= 1 to M= 16 , on a complex task
Reference 2023
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Unavailable: canonical work link unavailable.
Observation 2b0eeedb-b04c-4eb3-b937-e97b915835b4 · outbound
Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values
Reference 2024
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.