Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:42:33.351242Z
Paper Citation Record · LEDGER
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization
As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.07634.
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 2026-08-16T06:30:59.297886+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
45 of 45 outbound references displayed
- verified exact22
- verified fuzzy15
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d3910d62-fa94-4bd4-b717-8e91dea350e2 · outbound
This paper cites A review of the design methods of complex topology structures for 3D printing.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization A review of the design methods of complex topology structures for 3D printing
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.711804Z
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.
Observation 41068731-854b-474d-9656-82d76e76757e · outbound
This paper cites Topology Optimization of Continuum Structures: A Review.Applied Mechanics Reviews.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Topology Optimization of Continuum Structures: A Review.Applied Mechanics Reviews
Reference 2
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.697798Z
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.
Observation 6f0530fd-8dfc-4261-9d81-77f2b53d6d06 · outbound
This paper cites A review about the engineering design of optimal heat transfer systems using topology optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization A review about the engineering design of optimal heat transfer systems using topology optimization
Reference 3
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.683491Z
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.
Observation a6ee5ef4-7964-41ce-82e9-f76023b52236 · outbound
This paper cites A Review of Topology Optimisation for Fluid-Based Problems.Fluids.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization A Review of Topology Optimisation for Fluid-Based Problems.Fluids
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:42:33.174816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1db850f4-0c55-4bf2-98b7-7046981e7eb0 · outbound
This paper cites The method of moving asymptotes—a new method for structural optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization The method of moving asymptotes—a new method for structural optimization
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:42:33.179748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63d168c6-5bba-4210-b8cb-f92c21016e71 · outbound
This paper cites An SLP algorithm and its application to topology optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization An SLP algorithm and its application to topology optimization
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.650997Z
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.
Observation 59d612a5-1ed6-4988-8b01-49b1704c90df · outbound
This paper cites An efficient second-order SQP method for structural topology optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization An efficient second-order SQP method for structural topology optimization
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.636914Z
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.
Observation 0edfec84-c4a5-4b91-93d9-dbd603d0f95f · outbound
This paper cites A review of homogenization and topology optimization III—topology optimization using optimality criteria.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization A review of homogenization and topology optimization III—topology optimization using optimality criteria
Reference 8
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.622905Z
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.
Observation f6cbaed7-2c4e-4a77-80cd-2e4119533c62 · outbound
This paper cites Primal-dual Newton-type interior-point method for topology optimization.Journal of Optimization Theory and Applications.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Primal-dual Newton-type interior-point method for topology optimization.Journal of Optimization Theory and Applications
Reference 9
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.608976Z
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.
Observation d69921ac-c9c1-4696-a591-570cfad22388 · outbound
This paper cites Multimaterial topology optimization by volume constrained Allen–Cahn system and regularized projected steepest descent method.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Multimaterial topology optimization by volume constrained Allen–Cahn system and regularized projected steepest descent method
Reference 10
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.594915Z
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.
Observation f0e8bd0e-3bd7-404d-990f-cd570062363f · outbound
This paper cites Inertial projected gradient method for large-scale topology optimization.Japan Journal of Industrial and Applied Mathematics.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Inertial projected gradient method for large-scale topology optimization.Japan Journal of Industrial and Applied Mathematics
Reference 11
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.581023Z
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.
Observation 7f7c4f4a-c741-4faa-a33c-1a59f4c1d363 · outbound
This paper cites Parameter-free projected gradient descent.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Parameter-free projected gradient descent
Reference 12
- Resolution
- verified exact
- raw_fallback, observed 2026-08-11T18:42:33.923652Z
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.
Observation a986ceac-3caa-4250-987c-ccc00ccd2266 · outbound
This paper cites Boosting the robustness of neural networks with M-PGD.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Boosting the robustness of neural networks with M-PGD
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:34.153675Z
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.
Observation cdfae51e-9917-442d-ada6-0472bf77b66f · outbound
This paper cites A random active set method for strictly convex quadratic problem with simple bounds.Mathematics of Computation.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization A random active set method for strictly convex quadratic problem with simple bounds.Mathematics of Computation
Reference 14
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.567182Z
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.
Observation 6dfc5eb1-4147-4ca0-b1a6-4445f27dd046 · outbound
This paper cites Minimizing quadratic functions subject to bound constraints with the rate of convergence and finite termination.Computational Optimization and Applications.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Minimizing quadratic functions subject to bound constraints with the rate of convergence and finite termination.Computational Optimization and Applications
Reference 15
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.553073Z
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.
Observation bdbf7fe8-b4cf-434d-b9a4-18d7f885cddf · outbound
This paper cites An infeasible active set method for quadratic problems with simple bounds.SIAM Journal on Optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization An infeasible active set method for quadratic problems with simple bounds.SIAM Journal on Optimization
Reference 16
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.539005Z
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.
Observation 33e19ca0-0acc-43d4-9589-8c1aba535df2 · outbound
This paper cites A feasible active set method for strictly convex quadratic problems with simple bounds.SIAM Journal on Optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization A feasible active set method for strictly convex quadratic problems with simple bounds.SIAM Journal on Optimization
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.525182Z
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.
Observation 36f7221d-cfee-4de1-8d6d-4a1b9f3012e4 · outbound
This paper cites Primal and dual active-set methods for convex quadratic programming.Mathematical Programming.2016;159(1):469–.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Primal and dual active-set methods for convex quadratic programming.Mathematical Programming.2016;159(1):469–
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:34.139547Z
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.
Observation 89a66d8a-589c-449f-b7e0-428824e7bba4 · outbound
This paper cites An active set strategy for solving optimization problems with up to 200,000,000 nonlinear constraints.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization An active set strategy for solving optimization problems with up to 200,000,000 nonlinear constraints
Reference 19
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.498879Z
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.
Observation 45f8291a-f150-4855-b9fc-cea01685f09d · outbound
This paper cites A two-stage active-set algorithm for bound-constrained optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization A two-stage active-set algorithm for bound-constrained optimization
Reference 20
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.483949Z
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.
Observation 62b3f21e-1cbb-4250-8cca-e5e1c2dd0f94 · outbound
This paper cites Topology optimization for additive manufacturing: considering maximum overhang constraint.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Topology optimization for additive manufacturing: considering maximum overhang constraint
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:34.125332Z
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.
Observation 09b2309f-0a3c-4590-8e4e-2523db215590 · outbound
This paper cites Undercut and overhang angle control in topology optimization: A density gradient based integral approach.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Undercut and overhang angle control in topology optimization: A density gradient based integral approach
Reference 22
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.469906Z
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.
Observation 2d287ef2-a86a-4502-9d54-9de569630ef9 · outbound
This paper cites Additively manufactured conformal cooling channels through topology optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Additively manufactured conformal cooling channels through topology optimization
Reference 23
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.455770Z
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.
Observation ac5c4e04-01fd-4185-94a9-20cbf8e2ee87 · outbound
This paper cites Topology optimization considering overhang constraints: Eliminating sacrificial support material in additive manufacturing through design.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Topology optimization considering overhang constraints: Eliminating sacrificial support material in additive manufacturing through design
Reference 24
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:34.111509Z
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.
Observation 710138aa-0151-4c37-8751-a6550dd5f187 · outbound
This paper cites First-order methods in optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization First-order methods in optimization
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:34.097446Z
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.
Observation f7b818b4-fde8-43cf-a90f-cc0afb330dc1 · outbound
This paper cites Improved analysis of clipping algorithms for non-convex optimization.Advances in Neural Information Processing Systems.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Improved analysis of clipping algorithms for non-convex optimization.Advances in Neural Information Processing Systems
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:34.083328Z
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.
Observation 889a1214-7d9a-49c0-a055-de95742c370b · outbound
This paper cites QPSchur: a dual, active-set, Schur-complement method for large-scale and structured convex quadratic programming.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization QPSchur: a dual, active-set, Schur-complement method for large-scale and structured convex quadratic programming
Reference 27
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.440926Z
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.
Observation 2b253cb5-6423-4e0f-9aab-f7afdaed7331 · outbound
This paper cites Active-set methods for quadratic programming.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Active-set methods for quadratic programming
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:34.069161Z
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.
Observation c47c4d9d-27c2-48d4-ac1a-0b7a174ed82f · outbound
This paper cites DFEMwork: A Parallel Computing Framework for Material Processing.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization DFEMwork: A Parallel Computing Framework for Material Processing
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:34.054862Z
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.
Observation 018a98cc-563f-4b83-a5bf-713b9f8c59e6 · outbound
This paper cites Development of a Topology Optimization Framework For Cooling Channel Design in Die Casting Molds.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Development of a Topology Optimization Framework For Cooling Channel Design in Die Casting Molds
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:34.040170Z
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.
Observation 672d5038-f24e-4d30-813d-2a57c925b19c · outbound
This paper cites A Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization A Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control
Reference 31
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.426520Z
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.
Observation 7097c25e-3c9a-4667-85ef-ee645f877f59 · outbound
This paper cites Constrained optimization and Lagrange multiplier methods.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Constrained optimization and Lagrange multiplier methods
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:34.025511Z
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.
Observation d1844a92-b777-428a-a43f-f6a66604a78a · outbound
This paper cites Numerical optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Numerical optimization
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:34.011450Z
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.
Observation 8fb4fa8f-a852-44d6-9a4e-a0d13db169c7 · outbound
This paper cites Linear Algebra and Its Applications.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Linear Algebra and Its Applications
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:33.996988Z
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.
Observation 4f457f30-b8e8-4d4c-9324-8472b85836cd · outbound
This paper cites Convex Optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Convex Optimization
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:33.982431Z
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.
Observation 238a21f3-d1e1-4643-a554-6e35ac3603ac · outbound
This paper cites dSJ, et al.
Reference 36
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54656c31-cb29-4710-9830-00ac1e5e8031 · outbound
This paper cites Thermofluid Topology Optimization for Cooling Channel Design.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Thermofluid Topology Optimization for Cooling Channel Design
Reference 37
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-11T18:42:33.840448Z
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.
Observation 4a45d354-9f98-4ea4-b448-c4d9e317431d · outbound
This paper cites Filters in Topology Optimization Based on Helmholtz-type Differential Equations.International Journal for Numerical Methods in Engineering.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Filters in Topology Optimization Based on Helmholtz-type Differential Equations.International Journal for Numerical Methods in Engineering
Reference 38
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f29087a-196b-48e2-a06b-7717bc242930 · outbound
This paper cites On projection methods, convergence and robust formulations in topology optimization.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization On projection methods, convergence and robust formulations in topology optimization
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:42:33.329750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 780ca96e-d0fc-4bad-99f8-b09d45eec589 · outbound
This paper cites Generating optimal topologies in structural design using a homogenization method.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Generating optimal topologies in structural design using a homogenization method
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:42:33.333955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f043a27-f7c5-4df9-82ac-73cec94e5093 · outbound
This paper cites Volume 11: Heat Transfer and Thermal Engineering of ASME International Mechanical Engineering Congress and Exposition; : 2021.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Volume 11: Heat Transfer and Thermal Engineering of ASME International Mechanical Engineering Congress and Exposition; : 2021
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:33.967424Z
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.
Observation 4141ba06-c179-4706-8624-8001bd22b804 · outbound
This paper cites Gmsh.; 2020.
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:33.953355Z
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.
Observation 47942c8a-e2ab-46cc-b7da-d7e7df00df0e · outbound
This paper cites The NLopt Nonlinear-Optimization Package.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization The NLopt Nonlinear-Optimization Package
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:42:33.939429Z
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.
Observation bfd9486a-9c6d-471f-9738-f76846e34efa · outbound
This paper cites Attacking Large Language Models with Projected Gradient Descent.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Attacking Large Language Models with Projected Gradient Descent
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:42:33.351242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7039877c-3956-4aa5-bb33-18ec40bac84d · outbound
This paper cites an unresolved cited work.
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization Unresolved cited work
Reference 508
- Resolution
- verified exact
- doi, observed 2026-08-11T18:42:33.512262Z
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.
Pith citing papers
No inbound Pith citation observations are available.