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Paper Citation Record · LEDGER

A Learning-Based Inexact ADMM for Solving Quadratic Programs

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.09391.

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

pith.paper-citation-record.v1
2505.09391 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:41:03.986335Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

43 of 43 outbound references displayed

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  • unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da4aded9-5d4b-415d-a138-c93240aef511 · outbound

This paper cites Learning to learn by gradient descent by gradient descent.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Learning to learn by gradient descent by gradient descent

Reference 1

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Unavailable: canonical work link unavailable.

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Observation f319ea03-371c-46c6-bb85-de3a6d9d7c77 · outbound

This paper cites Practical large-scale linear programming using primal-dual hybrid gradient.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Practical large-scale linear programming using primal-dual hybrid gradient

Reference 2

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Observation 9e8f6054-06b9-48a0-8df8-b491d8e131cc · outbound

This paper cites Mosek optimization toolbox for matlab.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Mosek optimization toolbox for matlab

Reference 3

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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.

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Observation ca0eac80-8019-4959-b82d-144ff2d52515 · outbound

This paper cites An inexact admm for separable nonconvex and nonsmooth optimization.

A Learning-Based Inexact ADMM for Solving Quadratic Programs An inexact admm for separable nonconvex and nonsmooth optimization

Reference 4

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Source-reported events for the cited work

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Observation 9a5612cb-a339-4624-b363-587d8780a27e · outbound

This paper cites Infeasibility detection in the alternating direction method of multipliers for convex optimization.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Infeasibility detection in the alternating direction method of multipliers for convex optimization

Reference 5

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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.

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Observation 00df78c3-af50-4147-a0d8-e619ab9f4e04 · outbound

This paper cites Inexact interior-point method.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Inexact interior-point method

Reference 6

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Source-reported events for the cited work

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Observation bb655e2c-6ac6-4116-bd85-96539c3fd3de · outbound

This paper cites Predictive control for linear and hybrid systems.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Predictive control for linear and hybrid systems

Reference 7

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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.

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Observation 63e28ac9-2aea-4c99-a290-f6b00eba22e6 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 001881e6-a5c9-459b-b892-3c6b0205e2b1 · outbound

This paper cites Performance bounds and suboptimal policies for multi--period investment.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Performance bounds and suboptimal policies for multi--period investment

Reference 9

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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.

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Observation 26d9100b-24e8-4d5c-927b-181260cf517f · outbound

This paper cites On representing mixed-integer linear programs by graph neural networks.

A Learning-Based Inexact ADMM for Solving Quadratic Programs On representing mixed-integer linear programs by graph neural networks

Reference 10

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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.

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Observation 726b8a59-5640-4951-8299-d39fd88eb690 · outbound

This paper cites Support-vector networks.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Support-vector networks

Reference 11

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Observation d36afb61-4e7e-471d-bd7e-6e44d7d3573e · outbound

This paper cites Dc3: A learning method for optimization with hard constraints.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Dc3: A learning method for optimization with hard constraints

Reference 12

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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.

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Observation 4b2262c2-e176-4f3b-be12-68115cff2d3c · outbound

This paper cites Globally convergent inexact newton methods.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Globally convergent inexact newton methods

Reference 13

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 376b9c12-3e44-4dfe-a17b-e02311422fcb · outbound

This paper cites Ipm-lstm: A learning-based interior point method for solving nonlinear programs.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Ipm-lstm: A learning-based interior point method for solving nonlinear programs

Reference 14

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dc30acb5-b340-4ff5-86e6-1c57ee72b3c3 · outbound

This paper cites Model predictive control: Theory and practice—a survey.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Model predictive control: Theory and practice—a survey

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 68ef573d-0105-4da9-8909-031f349b4bc9 · outbound

This paper cites The machine learning for combinatorial optimization competition (ml4co): Results and insights.

A Learning-Based Inexact ADMM for Solving Quadratic Programs The machine learning for combinatorial optimization competition (ml4co): Results and insights

Reference 16

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8bd09048-c347-43dd-b210-94d8b3e12eb2 · outbound

This paper cites Learning fast approximations of sparse coding.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Learning fast approximations of sparse coding

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8a8bf8a7-be2b-4f0a-bc5c-5dc3d74f8a3a · outbound

This paper cites Bounds on eigenvalues of matrices arising from interior-point methods.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Bounds on eigenvalues of matrices arising from interior-point methods

Reference 18

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 10b368fc-3a8e-4584-9046-7d0b634bae50 · outbound

This paper cites Gurobi Optimizer Reference Manual, 2023.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Gurobi Optimizer Reference Manual, 2023

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c83ca3ce-ee3b-410d-b13f-058aaa19a335 · outbound

This paper cites Alternating direction method with self-adaptive penalty parameters for monotone variational inequalities.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Alternating direction method with self-adaptive penalty parameters for monotone variational inequalities

Reference 20

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Observation 229bfae3-ea85-4bc3-96d5-6b24a5934c84 · outbound

This paper cites On the convergence of primal-dual hybrid gradient algorithm.

A Learning-Based Inexact ADMM for Solving Quadratic Programs On the convergence of primal-dual hybrid gradient algorithm

Reference 21

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Observation df312810-1324-494d-8c83-ff41f2832624 · outbound

This paper cites Robust statistics.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Robust statistics

Reference 22

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Observation ac0dcf52-8f67-4f28-bbba-91e9b58be750 · outbound

This paper cites Gonzalez, Ion Stoica, and Ken Goldberg.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Gonzalez, Ion Stoica, and Ken Goldberg

Reference 23

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ac2e022d-4360-4e70-a2d0-f7906ad91806 · outbound

This paper cites Implementation of warm-start strategies in interior-point methods for linear programming in fixed dimension.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Implementation of warm-start strategies in interior-point methods for linear programming in fixed dimension

Reference 24

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Observation 8b96abf6-a4f6-476d-934a-ac6489bfc22b · outbound

This paper cites Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization

Reference 25

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Observation e29f4897-f102-47fa-be41-b454a38c2611 · outbound

This paper cites Adam: a method for stochastic optimization.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Adam: a method for stochastic optimization

Reference 26

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4bb7cdb0-d7bf-48f4-9467-27e76f9de2be · outbound

This paper cites Pdhg-unrolled learning-to-optimize method for large-scale linear programming.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Pdhg-unrolled learning-to-optimize method for large-scale linear programming

Reference 27

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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.

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Observation 94627025-0fd5-4cf6-b6f0-6144506a54a5 · outbound

This paper cites Learning to solve optimization problems with hard linear constraints.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Learning to solve optimization problems with hard linear constraints

Reference 28

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Source-reported events for the cited work

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Observation a49e20b4-621d-42d8-ab14-fb7a59c603a8 · outbound

This paper cites Low complexity homeomorphic projection to ensure neural-network solution feasibility for optimization over (non-) convex set.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Low complexity homeomorphic projection to ensure neural-network solution feasibility for optimization over (non-) convex set

Reference 29

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 43815b52-b41a-458d-8ec0-acb9bd78f3f7 · outbound

This paper cites Splitting algorithms for the sum of two nonlinear operators.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Splitting algorithms for the sum of two nonlinear operators

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.940687Z digest=sha256:24d5e5259a85b3afee69fbb3822b35f6e01f9ba3b122d34e488851945c6420f5

Observation d6dd1cd2-db98-4bfd-b219-6c682e5a5423 · outbound

This paper cites Towards constituting mathematical structures for learning to optimize.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Towards constituting mathematical structures for learning to optimize

Reference 31

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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.

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Observation ef589fc2-81b9-497f-be55-3940ff2e6f55 · outbound

This paper cites A Practical and Optimal First-Order Method for Large-Scale Convex Quadratic Programming.

A Learning-Based Inexact ADMM for Solving Quadratic Programs A Practical and Optimal First-Order Method for Large-Scale Convex Quadratic Programming

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.947398Z digest=sha256:350564559beb28f25522e0eae42e4f0c858d971588b8078fe43c372d281209cb

Observation adc38ac2-e58f-42ab-b454-82247a814233 · outbound

This paper cites Solving Mixed Integer Programs Using Neural Networks.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Solving Mixed Integer Programs Using Neural Networks

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.950898Z digest=sha256:7ce53929cd70104a3f13dcc84d2b3c960a7f0aa6761e758be53c48eaa9c941dd

Observation 4f1cc237-077a-40b1-a082-548742adce60 · outbound

This paper cites Operator splitting for a homogeneous embedding of the linear complementarity problem.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Operator splitting for a homogeneous embedding of the linear complementarity problem

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.954822Z digest=sha256:785c32ec85cbab33c8fe5641a6e80e141d3bffedb6531e7c4b2fe14897af676c

Observation e5cd34c5-8723-4d8c-8797-e077c56683d9 · outbound

This paper cites Conic optimization via operator splitting and homogeneous self-dual embedding.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Conic optimization via operator splitting and homogeneous self-dual embedding

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.958101Z digest=sha256:049502eaea17ed7fdd9f600aef262c8b666a1f617ae4dc49a2ae9abdbe94b3b0

Observation ea5b3741-2319-4ac2-8b86-76738d238fe4 · outbound

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

A Learning-Based Inexact ADMM for Solving Quadratic Programs Self-supervised primal-dual learning for constrained optimization

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.113264Z

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.

source=arxiv_source observed=2026-08-15T21:41:03.962562Z digest=sha256:4cf0d843e82d84d0820772f21d16da987f381aa9908bfe11c23a30e2f472a2b5

Observation aaf18555-e614-42c8-9918-0a6a576a6792 · outbound

This paper cites End-to-end learning to warm-start for real-time quadratic optimization.

A Learning-Based Inexact ADMM for Solving Quadratic Programs End-to-end learning to warm-start for real-time quadratic optimization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.102074Z

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.

source=arxiv_source observed=2026-08-15T21:41:03.966063Z digest=sha256:cb382cb6832e6ace1887ebf9841360e4c2755a8304d15312cfcfdb133d21f42c

Observation 09a04f8c-c72d-45c8-a73f-5a290b8b9d11 · outbound

This paper cites Osqp: An operator splitting solver for quadratic programs.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Osqp: An operator splitting solver for quadratic programs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.969474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.969474Z digest=sha256:ad7f7a0bdf7b38e34a856d0ff1b52e7cf30333309614bab81a3ceb520b5c5d37

Observation 6a74c8b7-08a1-4cec-9d33-2c28a76197cb · outbound

This paper cites Deep admm-net for compressive sensing mri.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Deep admm-net for compressive sensing mri

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.084781Z

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.

source=arxiv_source observed=2026-08-15T21:41:03.972838Z digest=sha256:2a96bc75db4a59113780875831036fa3dc15af948ebfc42b21a6018aa839d0af

Observation 0c82a3c6-5871-48bf-8418-6cc731e13488 · outbound

This paper cites Regression shrinkage and selection via the lasso.

A Learning-Based Inexact ADMM for Solving Quadratic Programs Regression shrinkage and selection via the lasso

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.976285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.976285Z digest=sha256:db66b12e4de61372d8949eca08be871109d60192ffd02a3e122d6b1f67c0c777

Observation f8e647c8-75ad-4005-9b25-fdfdaec6187c · outbound

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

A Learning-Based Inexact ADMM for Solving Quadratic Programs On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.979622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.979622Z digest=sha256:be05c92d91ff53c20e2729fcb066c85de4a4ffe2a7a47c3b3e5b003ee2c00e98

Observation 546a74d3-bceb-48ef-9d3a-3bebe0b44785 · outbound

This paper cites On inexact admms with relative error criteria.

A Learning-Based Inexact ADMM for Solving Quadratic Programs On inexact admms with relative error criteria

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.061081Z

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.

source=arxiv_source observed=2026-08-15T21:41:03.982993Z digest=sha256:519263019eabef6c6e22ae8477dd0dde0e153f55591f37f17e8cc7773da5fb39

Observation 66720ce7-9180-437e-9811-7d9d19f3fece · outbound

This paper cites A fast successive qp algorithm for general mean-variance portfolio optimization.

A Learning-Based Inexact ADMM for Solving Quadratic Programs A fast successive qp algorithm for general mean-variance portfolio optimization

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.049355Z

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.

source=arxiv_source observed=2026-08-15T21:41:03.986335Z digest=sha256:b3a9e18b229e22998a31fe570ce20b9b0b14b09c25f1e5fd131b11c30ea2c767

Pith citing papers

No inbound Pith citation observations are available.