Pith. sign in

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 2026-08-21T06:32:19.484+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

  • verified exact0
  • verified fuzzy27
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.837831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.837831Z digest=sha256:bcbacf7fde8b674fb56e120a793afbb1a4888d293b27462efa2ce4f108a7b7a6

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.842060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.842060Z digest=sha256:01fa00f54526254347e07197a46056e8b84c0f5a59078ed669d5c17eaada5d11

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.404163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.845853Z digest=sha256:50c59674d49178a390864680d23efe0c16d0eebd6f689c2e7b0b90c846d6d2be

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.393511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.849868Z digest=sha256:d63b4894f0d75113259a02ff8e3dd896c4930842bbf2d54eacdf524d00b09eab

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.382001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.853482Z digest=sha256:a6d37c80a65a8d9e0d1e80a6255be65ca6e221ef750f1382281279f9fbca68b5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.371943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.857213Z digest=sha256:d19298679210d4e4f210c0e541056379b18705763715c83979b0a62c09c713f9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.361780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.861112Z digest=sha256:76e12d764c87715a7a39b5a1576042cb20dcc3dd6ac14ccf0a49eea38a0e6244

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.864641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.864641Z digest=sha256:c400e5c9b6cff3468c208fd89bb91ca6d9454f70af5406bcd58aabe729c92ce9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.345270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.868095Z digest=sha256:895d58c5632feb5872adfae115e4e8bbe0a6fd52cb53befd9ee2c8223982a465

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.334005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.871380Z digest=sha256:2eda39b023fb8c668e75558ddbeb5c89ecebbb77dd1957111fd2c588f0d6207c

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.874838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.874838Z digest=sha256:bbe57a2805d18a3344c3372cbef4f5ade9346e1d6673f3203aa19b8aac95e6e7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.317116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.878713Z digest=sha256:2ee6ea2f37a50b4d841a311f3e5e5cad5a8208a81f4a641838ea9c047fec6019

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.306827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.882242Z digest=sha256:d61e44ebb647872739b0f06c76aa6ffc6fa6fa9b0371e50d3543be8155c73bf1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.296435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.885646Z digest=sha256:18c5421924e3012b15d1ebf705d3baa9c85c7b2fbb3402f0b09a58a0d838cceb

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.889107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.889107Z digest=sha256:e7706da8585760c1cb9743c93978ce4c39316579433fbf275e1bd3b63aef8615

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.277747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.892737Z digest=sha256:a5bdded03c3de63b27a8e755337da812445a09518c4944ac47003ec85da042d8

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.896122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.896122Z digest=sha256:a306adcd6faeb30264e689d148e7a5f16d0edf82c5cbf8952d391f11c7527075

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.258301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.899486Z digest=sha256:36223f9418a9e625b70440b05aa1e12e9897c1c808ecd3163504156d32cb01b6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.246667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.902676Z digest=sha256:20343bc83b0369e9d736115f90fb3197f69bd5ccc89b4aea086f0d3b4c48aa36

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.235871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.906030Z digest=sha256:2dceab49530b193e7c24cf9b8667d0b56ed144fce026c0dae361692379ffc5ef

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.225302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.909277Z digest=sha256:c03b693c8729765cf688a68987b670a6e3b0ba06afc63d889cf53594b7a78e21

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.912886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.912886Z digest=sha256:a0909474c30090467674cca44d519cab64d40f5665e590eb5e77bdb33e4c05a5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.208381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.916168Z digest=sha256:91766572ce8710491140195faa5be8c9ab03c328f38407987d8e09d27d734f17

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.196582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.919604Z digest=sha256:740d1dd8f08c3e30f9448b95675f87bf58869f238ff17ba07520cb38c5cd4f64

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.923273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:41:03.923273Z digest=sha256:a1e478c46aaffbcd998d51b47974bcd1b70a56ae0971653dc6557dbf2a30ab50

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.186056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.926987Z digest=sha256:f344e6e92ee2b1f330f44794a33fd5a74c3a9c0dee42c8eba1062bc9e0d3d4a4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.175328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.930341Z digest=sha256:72284863c151dd9e03626fe73beb110df9c7b50843c20565389f6aeec07fcbb1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.164454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.933763Z digest=sha256:a465f55a23242b3a745c1463ecfe913f640657f23d54d011c2cb77263936edd2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.153769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.937062Z digest=sha256:c2205cd1bbc54afa1b663f34b3206335636d5f1c6ef17aa4e43ff7be8030d2e4

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.940687Z

Source-reported events for the cited work

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:41:04.136702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.944090Z digest=sha256:e8959829d250093d3ebaa1634d2fe36b7ed082d149637e9281dbb37e7e97e428

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.947398Z

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.950898Z

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.954822Z

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

Resolution
unresolved
no resolver link, observed 2026-08-15T21:41:03.958101Z

Source-reported events for the cited work

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.962562Z digest=sha256:faaf9bd01d6f9b32e168128e5047c67c295facae6d8a56cd26e246ad978c64e7

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.966063Z digest=sha256:3534aaf78aefc31004727a8982ba3ef9a596533f63eca39e1a01deafdd821cea

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.972838Z digest=sha256:8bdeabac662c100dbe1ebdeeaf929408e81992c49f8beb23902aaaec6436ece2

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.982993Z digest=sha256:1a7b09e888ac0d3d333b076cef4c3f678968434e431eb2330c2cd05beccf4d03

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-15T21:41:03.986335Z digest=sha256:829062b1a90a7bc696071a789c5f5c470e7551f7b2d417f131dd86b767de1286

Pith citing papers

No inbound Pith citation observations are available.