Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:58:05.253732Z
Paper Citation Record · LEDGER
Meta-learning of shared linear representations beyond well-specified linear regression
As of 20 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2501.18975.
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 2026-08-20T06:33:59.587034+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
Reference resolution
56 of 56 outbound references displayed
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External citation measurements
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Outbound references
Observation cbf79511-d3b2-40ec-80d3-62058568369e · outbound
This paper cites Wainwright.
Meta-learning of shared linear representations beyond well-specified linear regression Wainwright
Reference 1
- Resolution
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This paper cites Multi-task feature learning.
Meta-learning of shared linear representations beyond well-specified linear regression Multi-task feature learning
Reference 2
- Resolution
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Observation e83684fa-4021-4282-bae4-78ba43e1e468 · outbound
This paper cites Representation learning: A review and new perspectives.
Meta-learning of shared linear representations beyond well-specified linear regression Representation learning: A review and new perspectives
Reference 3
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Observation 29ffb90b-7303-4e61-ad1f-0727e061f06d · outbound
This paper cites Interpretable Meta-Learning of Physical Systems.
Meta-learning of shared linear representations beyond well-specified linear regression Interpretable Meta-Learning of Physical Systems
Reference 4
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Meta-learning of shared linear representations beyond well-specified linear regression Unresolved cited work
Reference 5
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Meta-learning of shared linear representations beyond well-specified linear regression Trace norm regularization for multi-task learning with scarce data
Reference 6
- Resolution
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Observation f9488e1f-c7e4-4483-9572-e4fa579e638c · outbound
This paper cites Convex optimization: Algorithms and complexity.
Meta-learning of shared linear representations beyond well-specified linear regression Convex optimization: Algorithms and complexity
Reference 7
- Resolution
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Observation 6c30ec3a-5594-4738-be51-aac965fd35cb · outbound
This paper cites Generalize across tasks: Efficient algorithms for linear representation learning.
Meta-learning of shared linear representations beyond well-specified linear regression Generalize across tasks: Efficient algorithms for linear representation learning
Reference 8
- Resolution
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Observation 689ea0ff-6502-4ee0-bba1-dfa150719178 · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression Monteiro
Reference 9
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Meta-learning of shared linear representations beyond well-specified linear regression Monteiro
Reference 10
- Resolution
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Observation 0a680eab-4ec1-42e7-ac5d-7bae4af53fe9 · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression Candès and Yaniv Plan
Reference 11
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Meta-learning of shared linear representations beyond well-specified linear regression Multi-task learning
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation f75c47c0-286e-4483-ace0-d115ade60198 · outbound
This paper cites Multitask online mirror descent.
Meta-learning of shared linear representations beyond well-specified linear regression Multitask online mirror descent
Reference 13
- Resolution
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Observation 55e0b0b8-ed6c-4800-aa3e-18b576298b07 · outbound
This paper cites Convex learning of multiple tasks and their structure.
Meta-learning of shared linear representations beyond well-specified linear regression Convex learning of multiple tasks and their structure
Reference 14
- Resolution
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Observation 51aad26c-3ff1-43e3-813a-a34f3b6e7a13 · outbound
This paper cites Exploiting shared representations for personalized federated learning.
Meta-learning of shared linear representations beyond well-specified linear regression Exploiting shared representations for personalized federated learning
Reference 15
- Resolution
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Observation 9fd67bac-9eb7-40a7-9fbd-c4dd8c60737d · outbound
This paper cites Fedavg with fine tuning: Local updates lead to representation learning.
Meta-learning of shared linear representations beyond well-specified linear regression Fedavg with fine tuning: Local updates lead to representation learning
Reference 16
- Resolution
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Observation f1aaa5df-fa79-45a2-8ca5-a7de044469fe · outbound
This paper cites MAML and ANIL provably learn representations.
Meta-learning of shared linear representations beyond well-specified linear regression MAML and ANIL provably learn representations
Reference 17
- Resolution
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Observation 92ca695a-b0bd-4ad3-a151-119fba919303 · outbound
This paper cites Provable multi-task representation learning by two-layer relu neural networks, 2023.
Meta-learning of shared linear representations beyond well-specified linear regression Provable multi-task representation learning by two-layer relu neural networks, 2023
Reference 18
- Resolution
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Observation 316bb04d-2d86-481c-9514-578b2513309f · outbound
This paper cites Learning-to-learn stochastic gradient descent with biased regularization.
Meta-learning of shared linear representations beyond well-specified linear regression Learning-to-learn stochastic gradient descent with biased regularization
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation 6bf1b181-8359-469b-b982-eb1c84c62924 · outbound
This paper cites Online-within-online meta-learning.
Meta-learning of shared linear representations beyond well-specified linear regression Online-within-online meta-learning
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 35fabede-e78a-42a5-a7c2-0e077a02d200 · outbound
This paper cites Distributed personalized empirical risk minimization, 2023.
Meta-learning of shared linear representations beyond well-specified linear regression Distributed personalized empirical risk minimization, 2023
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation 39b93021-cd2a-4310-8de9-6d52d94fdb58 · outbound
This paper cites Collaborative learning by detecting collaboration partners.
Meta-learning of shared linear representations beyond well-specified linear regression Collaborative learning by detecting collaboration partners
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation 0c2eba22-85b3-4231-a98e-0ff72917329a · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression Du, Wei Hu, Sham M
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 173df9c8-94f7-4b99-9f4b-3bfb7d5d7118 · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression Efficient projections onto the l1-ball for learning in high dimensions
Reference 24
- Resolution
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Observation 2933614c-0b7c-4a13-a3aa-5789357aa3ef · outbound
This paper cites Subspace recovery from heterogeneous data with non-isotropic noise.
Meta-learning of shared linear representations beyond well-specified linear regression Subspace recovery from heterogeneous data with non-isotropic noise
Reference 25
- Resolution
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Observation 7d8ee15c-9843-45aa-9c4c-0b64d0f82d1c · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression Metric entropy of some classes of sets with differentiable boundaries
Reference 26
- Resolution
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Meta-learning of shared linear representations beyond well-specified linear regression Concentration of non-isotropic random tensors with applications to learning and empirical risk minimization
Reference 27
- Resolution
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Observation 38700e5b-4b06-4576-ab7b-b513b978ab5e · outbound
This paper cites On sample optimality in personalized collaborative and federated learning.
Meta-learning of shared linear representations beyond well-specified linear regression On sample optimality in personalized collaborative and federated learning
Reference 28
- Resolution
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Observation 8be1156a-4d90-410f-804e-e268e97f1a08 · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression Nonparametric Linear Feature Learning in Regression Through Regularisation
Reference 29
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Meta-learning of shared linear representations beyond well-specified linear regression Iterative hard thresholding for low-rank recovery from rank-one projections, 2018
Reference 30
- Resolution
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Observation 93eb8164-20a6-4a48-8adc-b25b4ce43c34 · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression An efficient framework for clustered federated learning
Reference 31
- Resolution
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Observation c414b86e-6d43-4e02-a1e1-6416876e1483 · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression Unresolved cited work
Reference 32
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This paper cites Lower Bounds and Optimal Algorithms for Personalized Federated Learning.
Meta-learning of shared linear representations beyond well-specified linear regression Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Reference 33
- Resolution
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Meta-learning of shared linear representations beyond well-specified linear regression Hospedales, A
Reference 34
- Resolution
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Meta-learning of shared linear representations beyond well-specified linear regression Clustered multi-task learning: A convex formulation
Reference 35
- Resolution
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Observation be017bce-f854-4d2b-9969-e88d23870b0d · outbound
This paper cites Revisiting Frank-Wolfe : Projection-free sparse convex optimization.
Meta-learning of shared linear representations beyond well-specified linear regression Revisiting Frank-Wolfe : Projection-free sparse convex optimization
Reference 36
- Resolution
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Meta-learning of shared linear representations beyond well-specified linear regression Adaptive gradient-based meta-learning methods
Reference 37
- Resolution
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Meta-learning of shared linear representations beyond well-specified linear regression Provable guarantees for gradient-based meta-learning, 2019 b
Reference 38
- Resolution
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Meta-learning of shared linear representations beyond well-specified linear regression Gradient-based meta-learning with learned layerwise metric and subspace
Reference 39
- Resolution
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Observation a2c5a0f9-81d0-4f3f-9bd1-42de02b8d31e · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression Hierarchical clustering multi-task learning for joint human action grouping and recognition
Reference 40
- Resolution
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Meta-learning of shared linear representations beyond well-specified linear regression Unresolved cited work
Reference 41
- Resolution
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Meta-learning of shared linear representations beyond well-specified linear regression Taking advantage of sparsity in multi-task learning
Reference 42
- Resolution
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Observation f0e04ea7-362a-453e-b59a-57cd10063af5 · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression Three Approaches for Personalization with Applications to Federated Learning
Reference 43
- Resolution
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Meta-learning of shared linear representations beyond well-specified linear regression Bounds for linear multi-task learning
Reference 44
- Resolution
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Source-reported events for the cited work
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Observation 55c2a6fd-b568-4d3e-82d5-8050449e46bb · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression The benefit of multitask representation learning
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation 9a269110-747f-4b5b-aae6-41fde3829df3 · outbound
This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.
Meta-learning of shared linear representations beyond well-specified linear regression Communication-Efficient Learning of Deep Networks from Decentralized Data
Reference 46
- Resolution
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Source-reported events for the cited work
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Observation 243bebf6-736c-479c-8d41-477e65f5f4e1 · outbound
This paper cites Collaborative learning with shared linear representations: Statistical rates and optimal algorithms, 2024.
Meta-learning of shared linear representations beyond well-specified linear regression Collaborative learning with shared linear representations: Statistical rates and optimal algorithms, 2024
Reference 47
- Resolution
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Meta-learning of shared linear representations beyond well-specified linear regression Excess risk bounds for multitask learning with trace norm regularization
Reference 48
- Resolution
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Source-reported events for the cited work
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Observation 192fc038-d282-4aec-b2d5-6bce88a8dd1e · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression Tsybakov
Reference 49
- Resolution
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Source-reported events for the cited work
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Observation dfb8262e-22cb-4d01-8c6d-2ee6caf7ed53 · outbound
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Meta-learning of shared linear representations beyond well-specified linear regression Hanson-Wright inequality and sub-gaussian concentration
Reference 50
- Resolution
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This paper cites Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints.
Meta-learning of shared linear representations beyond well-specified linear regression Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints
Reference 51
- Resolution
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This paper cites Statistically and computationally efficient linear meta-representation learning.
Meta-learning of shared linear representations beyond well-specified linear regression Statistically and computationally efficient linear meta-representation learning
Reference 52
- Resolution
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Observation de633569-0183-4ec2-aa99-60f55ed79cd3 · outbound
This paper cites Provable meta-learning of linear representations.
Meta-learning of shared linear representations beyond well-specified linear regression Provable meta-learning of linear representations
Reference 53
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 45d67289-c7a5-4f7e-b053-a61d4d704881 · outbound
This paper cites Wainwright.
Meta-learning of shared linear representations beyond well-specified linear regression Wainwright
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ddf1d47-ec17-4e70-be89-116a684799b3 · outbound
This paper cites First-order ANIL provably learns representations despite overparametrisation.
Meta-learning of shared linear representations beyond well-specified linear regression First-order ANIL provably learns representations despite overparametrisation
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T21:58:06.127823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1f3c4de2-b643-4364-99d8-7fa0bca5c472 · outbound
This paper cites Clustered multi-task learning via alternating structure optimization.
Meta-learning of shared linear representations beyond well-specified linear regression Clustered multi-task learning via alternating structure optimization
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T21:58:06.111922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.