Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T08:04:14.297636Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.10957.
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 2026-07-14T08:04:14.297636Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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
48 of 48 outbound references displayed
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Observation 702fc44b-6cf3-4448-91b5-15d2b1b9eb7f · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Optimality conditions for a simple convex bilevel programming problem.Variational Analysis and Generalized Differentiation in Optimization and Control: In Honor of Boris S
Reference 1
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Observation 44c48cbe-a0bc-4fae-9415-182df8226f52 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Algorithmsforsimplebilevelprogramming
Reference 2
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Observation 3425e1d6-e310-4f84-b4d8-e6c5f3445dd7 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization A conditional gradient-based method for simple bilevel optimization with convex lower-level problem
Reference 3
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Observation 86fd52a4-0298-4593-b2db-12a6c04e5ed0 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization An accelerated gradient method for convex smooth simple bilevel optimization.Advances in Neural Information Processing Systems, 37:45126–45154, 2024
Reference 4
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Observation 20bce4cf-cba3-48b8-8725-cca806407661 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Coresets via bilevel optimization for continual learning and streaming.Advances in Neural Information Processing Systems, 33:14879–14890, 2020
Reference 5
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Observation 8c258e3c-37fb-4cd5-80be-7615c6349d21 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Bilevel coreset selection in continual learning: A new formulation and algorithm.Advances in Neural Information Processing Systems, 36:51026–51049, 2023
Reference 6
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Observation c0ed2c7f-b991-4713-8d05-b344c4964b1b · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Bilevel programming for hyperparameter optimization and meta-learning
Reference 7
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Observation 7dce515d-6cfc-44ba-8650-b59d3b0035d8 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Truncated back-propagation for bilevel optimization
Reference 8
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Observation c4d286e9-bdd2-4990-915c-20eb427ae9b8 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Meta-learning with implicit gradients.Advances in neural information processing systems, 32, 2019
Reference 9
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Observation f5eac077-f7a6-480d-9363-5ce14931ea6f · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Meta-learning with differentiable closed-form solvers
Reference 10
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Observation 93e3a7ff-9018-4275-9469-78cd45694afb · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization A two-timescale stochastic algorithm framework for bilevel optimization: Complexity analysis and application to actor-critic.SIAM Journal on Optimization, 33(1):147–180, 2023
Reference 11
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Observation dacf2ccc-6861-45cb-9b78-c2181f8afda9 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Bi-level actor-critic for multi-agent coordination
Reference 12
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Observation c61fd90f-f88c-4f20-9c85-3ec9c858e945 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Remember what you want to forget: Algorithms for machine unlearning.Advances in Neural Information Processing Systems, 34:18075–18086, 2021
Reference 13
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Observation ae3dacd5-7d83-4b5f-a941-e6289d254aa3 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Towards safer large language models through machine unlearning
Reference 14
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Observation bda87cd9-20c5-4cb1-89ea-3047362292f7 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Blur: A bi-level optimization approach for llm unlearning
Reference 15
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Observation 6e84ff5c-07f9-4b51-bc55-e0379b44fe28 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization New York: Wiley, 1977
Reference 16
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Observation 24b2a476-e92b-4478-b3e9-213f72666aa0 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization An explicit descent method for bilevel convex optimization.Journal of Convex Analysis, 14(2):227, 2007
Reference 17
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Observation aa7587ca-3ab9-43b2-a9e3-a0ea3a9fa5f1 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization On the complexity of finding first-order critical points in constrained nonlinear optimization.Mathematical Programming, 144(1):93–106, 2014
Reference 18
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Observation 48d856e2-7a8f-4813-b96e-c13a7971aa0f · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Ghost penalties in nonconvex constrained optimization: Diminishing stepsizes and iteration complexity.Mathematics of Operations Research, 46(2):595–627, 2021
Reference 19
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Observation ec433fbb-7bf9-4ddf-892d-50ee002a8a9c · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Bi-objective trade-off with dynamic barrier gradient descent.NeurIPS 2021, 2021
Reference 20
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Observation 410db751-8297-4be2-827c-5a612321a0bb · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization
Reference 21
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Observation 09e52c3b-c729-455b-8a54-ef285e99e751 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Careful with that Scalpel: Improving Gradient Surgery with an EMA
Reference 22
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Observation 74c15b88-556e-4af6-bca9-318275654305 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Projection-free methods for stochastic simple bilevel optimization with convex lower-level problem
Reference 23
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Observation 8a0273ee-7eb9-422f-bb58-ffc64170126a · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Conditional gradient methods with standard lmo for stochastic simple bilevel optimization.arXiv preprint arXiv:2505.18037, 2025
Reference 24
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Observation cbcd09fa-8e68-4c51-9997-f8baa28c6b80 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Stochastic approximation for estimating the price of stability in stochastic nash games.ACM Transactions on Modeling and Computer Simulation, 34(2):1–24, 2024
Reference 25
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Observation 7731a453-8f23-46ca-abeb-5ccb333d3a97 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Corrigendum: On the complexity of finding first-order critical points in constrained nonlinear optimization.Mathematical Programming, 161(1): 611–626, 2017
Reference 26
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Observation 2539968d-05ce-44d5-aca6-be4246d924cf · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Evaluation complexity bounds for smooth constrained nonlinear optimization using scaled kkt conditions and high-order models
Reference 27
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Observation eded7046-181c-4e91-8667-60da93c6ea31 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Evaluation complexity for nonlinear constrained optimization using unscaled kkt conditions and high-order models
Reference 28
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Observation 78c9de08-f632-4306-a427-7728ee7ae0a6 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Inexact Proximal-Point Penalty Methods for Constrained Non-Convex Optimization
Reference 29
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Observation 92878885-bbe3-4a8c-83a9-b7fbc0067055 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Stochastic first-order methods for convex and nonconvex functional constrained optimization.Mathematical Programming, 197(1):215–279, 2023
Reference 30
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Observation 15f626aa-1469-4af1-bcf5-53f3791541b1 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization A momentum-based linearized augmented lagrangian method for nonconvex constrained stochastic optimization.Mathematics of Operations Research, 51(1):92–133, 2026
Reference 31
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Observation 98ec5e58-0bcf-40ef-8012-f3872cd683e4 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Stochastic compositional optimization with compositional constraints.INFORMS Journal on Optimization, 8(1):1–21, 2026
Reference 32
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Observation 224f76e9-6a0b-4b49-bd92-1e1313f973bb · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Sequential quadratic optimization for solving expectation equality constrained stochastic optimization problems.arXiv preprint arXiv:2503.09490, 2025
Reference 33
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Observation 98a6319d-9a6b-4312-9963-fcd99693378f · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization A two-phase stochastic momentum-based algorithm for nonconvex expectation-constrained optimization.Journal of Scientific Computing, 104(1):16, 2025
Reference 34
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Observation 3d23a87d-318b-4362-97c3-16a49a059863 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Bome! bilevel optimization made easy: A simple first-order approach.Advances in neural information processing systems, 35:17248–17262, 2022
Reference 35
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Observation 0c58dd5c-e94a-4c24-966f-6182fab18b1e · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization A Generalized Alternating Method for Bilevel Learning under the Polyak-{\L}ojasiewicz Condition
Reference 36
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Observation 2a4beffc-4a4a-4c01-bb64-2a0957ebad09 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization On finding small hyper-gradients in bilevel optimization: Hardness results and improved analysis
Reference 37
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Observation a08800fb-1ec2-4f18-9edb-4dcdf48eebf1 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Unresolved cited work
Reference 38
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Observation b23586e6-f3ee-408b-9a89-5c49d06f8c7b · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
Reference 39
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Observation 16adf11b-5d67-4095-ac66-26a0a6220d69 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization A near-optimal algorithm for stochastic bilevel optimization via double-momentum.Advances in neural information processing systems, 34:30271–30283, 2021
Reference 40
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Observation 15fc629f-34f7-4d9f-b9c6-f6126ec3fdd2 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems
Reference 41
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Observation 5fd41249-4964-430e-afcd-2412b6b9034d · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Perturbed Gradient Descent via Convex Quadratic Approximation for Nonconvex Bilevel Optimization
Reference 42
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Observation ef5e012a-0659-4d88-a3b5-10bd71c795b9 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Sequential qcqp for bilevel optimization with line search.IEEE Control Systems Letters, 2025
Reference 43
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Observation 97559c2b-ec99-4248-985a-6ab276a22d18 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Accelerated stochastic algorithms for convex-concave saddle-point problems.Mathematics of Operations Research, 47(2):1443–1473, 2022
Reference 44
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Observation 8547c62e-1b21-4547-acf2-47050f135e35 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Momentum-based variance reduction in non-convex SGD
Reference 45
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Observation 138f20a7-d7d3-4076-8fc0-53ec0033e62a · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization TOFU: A Task of Fictitious Unlearning for LLMs
Reference 46
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Observation 0decda2f-d75e-4e09-9462-3e134a1145ed · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 47
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Observation ac3816f7-8a19-43e8-9be3-9d2b914c8de1 · outbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization Openunlearning: Accelerating llm unlearning via unified benchmarking of methods and metrics.arXiv preprint arXiv:2506.12618, 2025
Reference 48
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