Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement | Paper Citation Record

Observation 1b7392b9-0b81-47a4-8636-c4ae6816ac54 · outbound

This paper cites Learning warm-start points for ac optimal power flow.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning warm-start points for ac optimal power flow

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.222304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 22f55b80-7ec9-456f-969c-e79a73a0105e · outbound

This paper cites Bellman, Rand Corporation, and Karreman Mathematics Research Collection.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Bellman, Rand Corporation, and Karreman Mathematics Research Collection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.207746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b66831f3-86c2-4488-a9e4-65e7a6c9f94b · outbound

This paper cites Anjos, and Sébastien Le Digabel.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Anjos, and Sébastien Le Digabel

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.192123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a443fff1-f9a4-4a93-b3bf-280852637774 · outbound

This paper cites Diffusion policies for generative modeling of spacecraft trajectories.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Diffusion policies for generative modeling of spacecraft trajectories

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.176188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45d809fa-4c85-4317-bf66-4b9a02040ef3 · outbound

This paper cites Predict and constrain: Modeling cardinality in deep structured prediction.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Predict and constrain: Modeling cardinality in deep structured prediction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.160338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4a73c814-53df-4d34-b705-4bb6723d993c · outbound

This paper cites History of optimal power flow and formulations.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement History of optimal power flow and formulations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.144462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3cc5481c-6662-46cf-ad76-d42471491b8e · outbound

This paper cites Neural networks for portfolio analysis with cardinality constraints.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Neural networks for portfolio analysis with cardinality constraints

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.128585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2fe92e2b-49e4-4c57-8f3d-4a0f919dc109 · outbound

This paper cites High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.046834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99efcea3-13b3-48e3-ba2b-497cfb1e122d · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.051939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ff3e62-2e5f-4183-b1b6-9f643b4d72cc · outbound

This paper cites Constrained synthesis with projected diffusion models.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Constrained synthesis with projected diffusion models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.105628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c95fcdff-803a-4725-b4d5-faf46fa1b1d3 · outbound

This paper cites Cover and Bradley Efron.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Cover and Bradley Efron

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.089563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2d223cc-4f1c-428a-8e52-3e14cb117f46 · outbound

This paper cites Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.066423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f04e73-7bdf-4ed2-85da-dedd72357d68 · outbound

This paper cites Reduced policy optimization for continuous control with hard constraints.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Reduced policy optimization for continuous control with hard constraints

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.072338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b3fe1384-cb41-417a-bb87-7e705674f260 · outbound

This paper cites Smart-pgsim: Using neural network to accelerate ac-opf power grid simulation.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Smart-pgsim: Using neural network to accelerate ac-opf power grid simulation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.057153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a7463cd1-e87b-4e9f-8a7d-e5b6549f79e4 · outbound

This paper cites DC3: A learning method for optimization with hard constraints.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement DC3: A learning method for optimization with hard constraints

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.081050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc659565-70c3-4e86-88a4-b86bfb4ec8e0 · outbound

This paper cites Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.041399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b5caf45-29ff-48da-8510-7bd3526e61e5 · outbound

This paper cites Lenssen, Christopher Morris, Jonathan Masci, and Nils M.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Lenssen, Christopher Morris, Jonathan Masci, and Nils M

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.025994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e9f417e2-13d6-4afe-8050-661d1f9b73f7 · outbound

This paper cites Predicting ac optimal power flows: Combining deep learning and lagrangian dual methods.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Predicting ac optimal power flows: Combining deep learning and lagrangian dual methods

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:53.010070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 797baaaf-a44b-4434-b75c-7e003e30665f · outbound

This paper cites Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.099458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c809e6-22c4-47c8-88ad-b74a9866d833 · outbound

This paper cites Denoising diffusion probabilistic models.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Denoising diffusion probabilistic models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.104666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1bb70f9-a676-460c-b359-ab6d7aa5a5cf · outbound

This paper cites Advancements and future directions in the application of machine learning to ac optimal power flow: A critical review.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Advancements and future directions in the application of machine learning to ac optimal power flow: A critical review

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.984725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fb07f71f-3f88-4af1-8c3b-dd6a4900dd6a · outbound

This paper cites Erdos goes neural: an unsupervised learning framework for combinatorial optimization on graphs.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Erdos goes neural: an unsupervised learning framework for combinatorial optimization on graphs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.113817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 714e0175-6b59-4aa9-a00b-af22ace0eaa4 · outbound

This paper cites CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T18:37:52.556396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60409483-a94b-4183-b696-6caa1f5a8cec · outbound

This paper cites Equality constrained diffusion for direct trajectory optimiza- tion.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Equality constrained diffusion for direct trajectory optimiza- tion

Reference 24

Resolution: verified exact; raw_fallback, observed 2026-08-07T18:37:52.531952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 384414fa-fcf1-486e-83ff-955c6c5e91c5 · outbound

This paper cites Efficient and guaranteed-safe non-convex trajectory optimization with constrained diffusion model.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Efficient and guaranteed-safe non-convex trajectory optimization with constrained diffusion model

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.959135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e1ee214-9a52-46a0-aec3-feab3bccb2c0 · outbound

This paper cites Amortized global search for efficient preliminary trajectory design with deep generative models.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Amortized global search for efficient preliminary trajectory design with deep generative models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.943343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 971a7549-bbe3-4285-9e5f-f65ec0175a71 · outbound

This paper cites Learning to Optimize.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning to Optimize

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.137398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1a3ef4d-b1bc-47dc-8800-12bc1c0632cd · outbound

This paper cites Gauge flow matching for efficient constrained generative modeling over general convex set.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Gauge flow matching for efficient constrained generative modeling over general convex set

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.926255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c746da7-adb8-4bb6-8162-ab93c3358ed6 · outbound

This paper cites From distribution learning in training to gradient search in testing for combinatorial optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement From distribution learning in training to gradient search in testing for combinatorial optimization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.147152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66e298cb-9791-4bf5-9fb2-30fc01744596 · outbound

This paper cites Fast t2t: Optimization consistency speeds up diffusion-based training-to-testing solving for combinatorial optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Fast t2t: Optimization consistency speeds up diffusion-based training-to-testing solving for combinatorial optimization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.899932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2e8c0a87-4f59-4521-b17e-dbd1b885e5d9 · outbound

This paper cites Generative learning for solving non-convex problem with multi-valued input-solution mapping.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Generative learning for solving non-convex problem with multi-valued input-solution mapping

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.884724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ceab260-e4c9-406c-ba2a-a79a31370a1f · outbound

This paper cites Learning to search in local branching.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning to search in local branching

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.869438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0600aea3-00f0-4898-a042-50f33b166bb8 · outbound

This paper cites Numerical optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Numerical optimization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.854062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1d1592bc-b034-4fce-9b2c-bc604f622782 · outbound

This paper cites Model-Based Diffusion for Trajectory Optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Model-Based Diffusion for Trajectory Optimization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.170794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bd76098-ea58-4f40-ac69-06a0fa27803f · outbound

This paper cites Deepopf: A deep neural network approach for security-constrained dc optimal power flow.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Deepopf: A deep neural network approach for security-constrained dc optimal power flow

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.838238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation deb2497e-c7a6-4f19-8849-c0204896ea09 · outbound

This paper cites Self-supervised primal-dual learning for constrained optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Self-supervised primal-dual learning for constrained optimization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.820725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e66f631f-3672-4115-8b76-777f91cf9695 · outbound

This paper cites Can push-forward generative models fit multimodal distributions? Advances in Neural Information Processing Systems, 35:10766–10779, 2022.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Can push-forward generative models fit multimodal distributions? Advances in Neural Information Processing Systems, 35:10766–10779, 2022

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.803758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f0b2698-42c8-4de5-b9d2-d756bdcfbdba · outbound

This paper cites Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.189968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a02435d1-a156-4b9c-bd55-13fe602a7359 · outbound

This paper cites A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.194633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7271c55-e8b2-44f0-b292-3aef9e9ff855 · outbound

This paper cites Global optimization for optimal power flow over transmission networks.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Global optimization for optimal power flow over transmission networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.787146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dff5c4a1-466d-41b9-b9cd-02beb469978f · outbound

This paper cites Denoising Diffusion Implicit Models.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Denoising Diffusion Implicit Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.204201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96bd9cb2-7d30-4d17-8d47-a1b3a44fe682 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Score-Based Generative Modeling through Stochastic Differential Equations

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.209159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acb6a9f4-8bb9-4832-ba2b-47d7f0e8c0c2 · outbound

This paper cites Reinforcement learning for integer program- ming: Learning to cut.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Reinforcement learning for integer program- ming: Learning to cut

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.771023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02b20109-b442-4343-a2fd-aee4249bc2f3 · outbound

This paper cites On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.755955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 71834285-dca2-4db1-bed8-c69da9885962 · outbound

This paper cites Towards one-shot neural combinatorial solvers: Theoretical and empirical notes on the cardinality-constrained case.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Towards one-shot neural combinatorial solvers: Theoretical and empirical notes on the cardinality-constrained case

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.740448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 18e0ff2b-9ab9-47a6-9971-197ca11b040a · outbound

This paper cites Learning combinatorial embedding networks for deep graph matching.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning combinatorial embedding networks for deep graph matching

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.227930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d12cd11-52bf-42ca-b371-684114b0b59e · outbound

This paper cites an unresolved cited work.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-07T18:37:52.713682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 20592112-5eee-452f-b95a-eee97e54ca7d · outbound

This paper cites Zamzam and Kyri Baker.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Zamzam and Kyri Baker

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.698825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e0bec4da-e0a6-4701-9172-7af39c99162a · outbound

This paper cites Learning to solve the ac optimal power flow via a lagrangian approach.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning to solve the ac optimal power flow via a lagrangian approach

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.683432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea4e5d2d-4d6b-45ca-8b1f-c5e474539825 · outbound

This paper cites Diffusion Models are Evolutionary Algorithms.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Diffusion Models are Evolutionary Algorithms

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T18:37:52.246505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c925ad4-8339-4689-8f7c-b90759b7e095 · outbound

This paper cites Synergizing machine learning with acopf: A comprehensive overview, 2024.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Synergizing machine learning with acopf: A comprehensive overview, 2024

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:37:52.667927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c8263d34-2651-47e7-8bd9-e7421f9185ab · outbound

This paper cites Diffusion.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Diffusion

Reference 52

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T18:37:52.651691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers