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Paper Citation Record · LEDGER

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level

As of 17 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2608.12704.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.12704 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:18:57.102684Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1946e822-6913-463e-b10c-e0239f3472b6 · outbound

This paper cites Pareto low-rank adapters: Efficient multi-task learning with preferences.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Pareto low-rank adapters: Efficient multi-task learning with preferences

Reference 4

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Source-reported events for the cited work

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Observation 776c5db8-bd00-4a08-92f2-54dd46faaa44 · outbound

This paper cites Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning

Reference 10

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Observation 9a83df71-0443-410f-838b-95d48a65b948 · outbound

This paper cites Smooth Tchebycheff Scalarization for Multi-Objective Optimization.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Smooth Tchebycheff Scalarization for Multi-Objective Optimization

Reference 11

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Observation cf47b379-0c4c-4e3e-84c6-38c1419a1254 · outbound

This paper cites DARTS: Differentiable Architecture Search.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level DARTS: Differentiable Architecture Search

Reference 12

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Observation 1c1695f4-3b54-45d2-8dcb-281d4f4a0da8 · outbound

This paper cites Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy

Reference 13

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Observation ee50e2be-7956-41dd-9404-7decb088294d · outbound

This paper cites Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making

Reference 14

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Observation 2c693177-2274-4ced-8e42-4d510ea3a1f0 · outbound

This paper cites Multi-objective Differentiable Neural Architecture Search.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Multi-objective Differentiable Neural Architecture Search

Reference 16

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Observation 22d3d183-87ad-4c95-969b-70fd7a11fece · outbound

This paper cites A first-order multi-gradient algo- rithm for multi-objective bi-level optimization.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level A first-order multi-gradient algo- rithm for multi-objective bi-level optimization

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3b520069-67fd-4e57-9006-d970269d1b89 · outbound

This paper cites A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7b4991ff-78d3-4204-9f89-96373973835d · outbound

This paper cites an unresolved cited work.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation 49a22f7e-cf17-4eb9-a315-46bdf3f42ced · outbound

This paper cites Within each episode of meta-learning, the data are deterministic.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Within each episode of meta-learning, the data are deterministic

Reference 22

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Observation 8315d704-224c-4653-a24b-d00b0521c8c0 · outbound

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Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f21e8029-e32e-4964-b231-0f0e38b3e220 · outbound

This paper cites [2017], Cheng et al.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level [2017], Cheng et al

Reference 42

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Source-reported events for the cited work

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Observation 56ae16cb-b5e3-4466-bceb-23d95ef8c709 · outbound

This paper cites Diamond: Taming sample and communication complexities in decentralized bilevel optimization.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Diamond: Taming sample and communication complexities in decentralized bilevel optimization

Reference 1964

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation df49be78-cb9a-4875-80a0-d2a35e6baeb8 · outbound

This paper cites Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization

Reference 1994

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Observation 81084dcb-4b5f-4c58-97d0-de323782ba49 · outbound

This paper cites Parl: A unified framework for policy alignment in reinforcement learning from human feedback.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Parl: A unified framework for policy alignment in reinforcement learning from human feedback

Reference 2017

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Source-reported events for the cited work

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Observation f29c415c-ce22-41e5-b245-78db9665e042 · outbound

This paper cites Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs

Reference 2018

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Observation 94f81387-b66e-4a4a-a9db-ec1a72f92cb3 · outbound

This paper cites Federated learning meets multi-objective optimization.IEEE Transactions on Network Science and Engineering, 9(4):2039–2051,.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Federated learning meets multi-objective optimization.IEEE Transactions on Network Science and Engineering, 9(4):2039–2051,

Reference 2020

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Observation c4717f22-5755-49b9-9096-24a2e87aeb97 · outbound

This paper cites Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization

Reference 2021

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Observation a5151dfb-b661-4c4f-a22f-a41fc4698f1a · outbound

This paper cites Kaiyi Ji, Junjie Yang, and Yingbin Liang.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Kaiyi Ji, Junjie Yang, and Yingbin Liang

Reference 2022

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Observation 5d333730-a2f3-4860-afea-1b671d269ea9 · outbound

This paper cites A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic

Reference 2023

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Observation d24180c3-6259-4ec6-8806-dfdcd91425a6 · outbound

This paper cites Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond

Reference 2024

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Observation 0a41a207-3824-4022-bc7d-98a32ce01593 · outbound

This paper cites Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach.

Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach

Reference 2025

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