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Paper Citation Record · LEDGER

Quantum Algorithms for Projection-Free Sparse Convex Optimization

As of 9 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2507.08543.

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

pith.paper-citation-record.v1
2507.08543 v1

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:28:16.563095Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

84 of 84 outbound references displayed

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  • verified fuzzy60
  • unresolved20
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df40467e-6b8c-4016-986e-7a6d8863f53c · outbound

This paper cites Linear convergence of a frank-wolfe type algorithm over trace-norm balls.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Linear convergence of a frank-wolfe type algorithm over trace-norm balls

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 5546895b-f30d-404b-8dcb-27e956494738 · outbound

This paper cites Variable time amplitude amplification and a faster quantum algorithm for solving systems of linear equations.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Variable time amplitude amplification and a faster quantum algorithm for solving systems of linear equations

Reference 2

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Observation 086b3236-ace6-4d89-853d-5e18de96e25b · outbound

This paper cites Quantum algorithms for matching and network flows.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithms for matching and network flows

Reference 3

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Observation 43b096e0-615b-4fa5-af1e-25f6abd40b3a · outbound

This paper cites Quantum speedups for linear programming via interior point meth- ods.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum speedups for linear programming via interior point meth- ods

Reference 4

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Observation b19a209f-6a91-4230-aea7-11e47a2bda98 · outbound

This paper cites Hybrid conditional gradient-smoothing algo- rithms with applications to sparse and low rank regularization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Hybrid conditional gradient-smoothing algo- rithms with applications to sparse and low rank regularization

Reference 5

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Observation 3352071d-08a4-4ae3-8a0a-b86865b04721 · outbound

This paper cites Quantum algorithms for svd-based data representation and analysis.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithms for svd-based data representation and analysis

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a3bdd360-b1e4-47a9-9330-b080431e8f5e · outbound

This paper cites A theoretical and empirical comparison of gradient approximations in derivative-free optimization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization A theoretical and empirical comparison of gradient approximations in derivative-free optimization

Reference 7

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2a65532d-20e4-444b-b350-f37b914c613f · outbound

This paper cites Frank–wolfe and friends: a journey into projection-free first-order optimization methods.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Frank–wolfe and friends: a journey into projection-free first-order optimization methods

Reference 8

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 747f649f-5559-4624-8fec-f07b47d056d4 · outbound

This paper cites Quantum SDP solvers: Large speed-ups, optimality, and applications to quantum learning.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum SDP solvers: Large speed-ups, optimality, and applications to quantum learning

Reference 9

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7803e274-4ff2-47bf-a505-477f9dfb9fb0 · outbound

This paper cites Quantum speed-ups for solving semidefinite programs.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum speed-ups for solving semidefinite programs

Reference 10

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Observation 4aa7f5ba-f616-4007-aef8-27d93e5f4ddd · outbound

This paper cites Quantum amplitude amplification and estimation.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum amplitude amplification and estimation

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 5b16fa12-ffce-4cfc-b9c8-0712e16f8525 · outbound

This paper cites A tight upper bound on the rate of convergence of frank-wolfe algorithm.

Quantum Algorithms for Projection-Free Sparse Convex Optimization A tight upper bound on the rate of convergence of frank-wolfe algorithm

Reference 12

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:13.265571Z digest=sha256:4ec236917e4e5c04573c4f4afe0fdd67d1e9409c01867400062dabc3a0442910

Observation e4163495-abb3-4350-bb8d-f9e21d97a4fa · outbound

This paper cites Quantum bandits.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum bandits

Reference 13

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Observation b7748ce2-34f4-4712-9ab3-14e3aed76308 · outbound

This paper cites Quantum algorithms and lower bounds for convex optimization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithms and lower bounds for convex optimization

Reference 14

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Observation 457bc0e7-0d56-497d-860e-ba2f97322310 · outbound

This paper cites The power of block-encoded matrix powers: Improved regression techniques via faster hamiltonian simulation.

Quantum Algorithms for Projection-Free Sparse Convex Optimization The power of block-encoded matrix powers: Improved regression techniques via faster hamiltonian simulation

Reference 15

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ecfba6dc-652f-48d4-88a6-fb485af76512 · outbound

This paper cites Projection-free online optimization with stochastic gradient: From convexity to submodularity.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Projection-free online optimization with stochastic gradient: From convexity to submodularity

Reference 16

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 40681cf2-c5e4-44f8-abdf-05851d14a440 · outbound

This paper cites Quantum algorithms and lower bounds for linear regression with norm constraints.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithms and lower bounds for linear regression with norm constraints

Reference 17

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source=pdf_text observed=2026-08-06T18:28:13.641057Z digest=sha256:7adbed908250df250e3fb10ef418b5736526a646cc66d3ca3081f4bfdafe726c

Observation 4c213bdd-1574-4446-9e3a-fbe83b37044a · outbound

This paper cites A quantum speed-up for approximating the top eigen- vectors of a matrix.

Quantum Algorithms for Projection-Free Sparse Convex Optimization A quantum speed-up for approximating the top eigen- vectors of a matrix

Reference 18

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bf31d3f2-d94f-4d19-83c0-e6205e4ffb74 · outbound

This paper cites Quantum langevin dynamics for optimization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum langevin dynamics for optimization

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1c6c4e15-aef5-4be2-b88c-ebce54620f2a · outbound

This paper cites Quantum algorithm for systems of lin- ear equations with exponentially improved dependence on precision.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithm for systems of lin- ear equations with exponentially improved dependence on precision

Reference 20

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a6104a1b-38dd-478d-80d7-90351398a82c · outbound

This paper cites Lifted coordinate descent for learning with trace- norm regularization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Lifted coordinate descent for learning with trace- norm regularization

Reference 21

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Observation a4a70465-df76-42ce-955b-6905154ef092 · outbound

This paper cites Conditional gradient algorithms with open loop step size rules.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Conditional gradient algorithms with open loop step size rules

Reference 22

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Observation 20c40f2a-8154-4dd3-98d8-24959d1f62ba · outbound

This paper cites Quantum query complexity of some graph problems.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum query complexity of some graph problems

Reference 23

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Observation 8f007a5c-c01e-4c25-b564-97dd9e29c58c · outbound

This paper cites A Quantum Algorithm for Finding the Minimum.

Quantum Algorithms for Projection-Free Sparse Convex Optimization A Quantum Algorithm for Finding the Minimum

Reference 24

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Observation b36297b2-fc44-41f7-a4bd-ab118caf6323 · outbound

This paper cites An algorithm for quadratic programming.

Quantum Algorithms for Projection-Free Sparse Convex Optimization An algorithm for quadratic programming

Reference 25

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f9cadcea-cb1e-4894-8a16-2542c4921d52 · outbound

This paper cites Faster projection-free convex optimization over the spectrahedron.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Faster projection-free convex optimization over the spectrahedron

Reference 26

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Observation 37bafeec-a672-4ae9-b243-29408d9630b0 · outbound

This paper cites A linearly convergent variant of the conditional gradient algorithm under strong convexity, with applications to online and stochastic optimization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization A linearly convergent variant of the conditional gradient algorithm under strong convexity, with applications to online and stochastic optimization

Reference 27

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 27037fda-1242-4c97-8bc2-0a2b4ac8f4c5 · outbound

This paper cites Optimizing quantum optimization algo- rithms via faster quantum gradient computation.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Optimizing quantum optimization algo- rithms via faster quantum gradient computation

Reference 28

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Observation a1e2fffa-fd7a-4d43-a7e6-065aa3807743 · outbound

This paper cites A fast quantum mechanical algorithm for database search.

Quantum Algorithms for Projection-Free Sparse Convex Optimization A fast quantum mechanical algorithm for database search

Reference 29

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 77f14136-0751-47bd-b14f-522f03aec570 · outbound

This paper cites Conditional gradient algorithms for norm- regularized smooth convex optimization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Conditional gradient algorithms for norm- regularized smooth convex optimization

Reference 30

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f6aa9d9c-495b-4639-b4fe-67e77ab1b516 · outbound

This paper cites Quantum algorithm for linear systems of equa- tions.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithm for linear systems of equa- tions

Reference 31

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a9773c6d-23b1-41db-8a6a-ea0cd82a9693 · outbound

This paper cites Stochastic conditional gradi- ent++:(non) convex minimization and continuous submodular maximization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Stochastic conditional gradi- ent++:(non) convex minimization and continuous submodular maximization

Reference 32

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:14.604256Z digest=sha256:4491daccd2e88d65c8a9a3891da2af9a0354012d95299da7118d4315a6595228

Observation 3524f17d-9f30-4d05-9995-131980a29248 · outbound

This paper cites Projection-free Online Learning.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Projection-free Online Learning

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:28:14.649099Z digest=sha256:bd3e5dc3b0af6f7003995ca1dbe033323947c5287c3c17c44e94a3d8e0c8294a

Observation 9c4fe24e-ea9b-411d-b79d-6a1c981b6df6 · outbound

This paper cites Near-optimal algorithms for online matrix predic- tion.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Near-optimal algorithms for online matrix predic- tion

Reference 34

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:14.717529Z digest=sha256:db518e680dd2a4377f6c1151d9609284336ed9f6d6a0043083e0908b9317f0be

Observation 50b17ad9-f76c-46e1-8c35-1b9194316520 · outbound

This paper cites Variance-reduced and projection-free stochastic optimization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Variance-reduced and projection-free stochastic optimization

Reference 35

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:14.747464Z digest=sha256:d2be601974c5df5e924b744081ccf2c70b44348ca15b88dcf7483f2c7e374310

Observation 70f2542f-3033-41eb-98bb-af05a99d24e5 · outbound

This paper cites an unresolved cited work.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-06T18:28:17.605832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:14.797645Z digest=sha256:0d6e24b0244b562984c1ca1c23ec5b24925b8eef68f178f666d64d9bbb46b86a

Observation b77defcc-d3e0-42c2-990d-888dd78434f5 · outbound

This paper cites Quantum algorithm for online convex opti- mization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithm for online convex opti- mization

Reference 37

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raw_fallback, observed 2026-08-06T18:28:17.589658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:14.866770Z digest=sha256:dab13c44546e10f14030c7da639db7b5eec8577aa1c515c013f2040a2b67e1bf

Observation 6919058e-2d19-4842-999b-a46b33273c29 · outbound

This paper cites Quantum Search with Prior Knowledge.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum Search with Prior Knowledge

Reference 38

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verified exact
local_arxiv, observed 2026-08-06T18:28:16.748391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:14.922062Z digest=sha256:9f566ab282ee48f5519fba50c3df051e284ed4b93771244c6117ed512b371857

Observation e8e8e57a-3f3b-47d5-86ce-286025bfd35b · outbound

This paper cites Revisiting frank-wolfe: Projection-free sparse convex optimization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Revisiting frank-wolfe: Projection-free sparse convex optimization

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:28:17.574145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:14.994345Z digest=sha256:6d30568e1217a07d45c7560b88da852791520dce4d1c9854438b4d958547788c

Observation 0cb2997e-5c2a-452c-b34b-e9acd232240c · outbound

This paper cites Structured variable selection with sparsity- inducing norms.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Structured variable selection with sparsity- inducing norms

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-06T18:28:17.557417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:15.044441Z digest=sha256:1f793e1544b1bb2b13baf6aab080e119cf8a6fd880bae5ce6ab78b6735492ae9

Observation 33c3ce83-326a-4499-aeec-5377d74e1241 · outbound

This paper cites Fast quantum algorithm for numerical gradient estimation.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Fast quantum algorithm for numerical gradient estimation

Reference 41

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raw_fallback, observed 2026-08-06T18:28:17.541705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:15.075237Z digest=sha256:2783dfa628e8e3bdc8095d77db9e0451889db9e47b8c1cdd741fb853122a81cf

Observation c3e69a6a-886e-4cde-8b82-a0a67b47aef4 · outbound

This paper cites Quantum expectation-maximization for gaussian mixture models.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum expectation-maximization for gaussian mixture models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:28:17.526365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:15.134064Z digest=sha256:0da4be042c5b6eedb248dd993eb3b6e716ccfdbaaa12cebb71b1f7691074e284

Observation e20c897e-c34f-4f1a-83e3-7491f0416016 · outbound

This paper cites Quantum recommendation systems.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum recommendation systems

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:28:17.508285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:15.165004Z digest=sha256:27705ec52a33b31ca19593abc29ff00f3cdc926e662697371e47891e155be120

Observation 6e5758c5-7665-4651-b37c-e5541f65d7f7 · outbound

This paper cites Quantum gradient descent for linear systems and least squares.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum gradient descent for linear systems and least squares

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:28:17.491901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:15.188607Z digest=sha256:602ea486b3741866c47a31e6e3bb456f32d375b62d5b1b4ac8e103a92cd8a713

Observation d8acb15e-2d86-46b4-8f6d-a72e1df7f18f · outbound

This paper cites A quantum interior point method for LPs and SDPs.

Quantum Algorithms for Projection-Free Sparse Convex Optimization A quantum interior point method for LPs and SDPs

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:28:17.476683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:15.255902Z digest=sha256:e70e93744bfc06b06e882fa63587262596c722d3535a07d22b6a6ed0eed84071

Observation 93e28bb3-52c0-44c0-a495-68afdcddd841 · outbound

This paper cites Quantum algorithms for portfolio optimiza- tion.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithms for portfolio optimiza- tion

Reference 47

Resolution
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raw_fallback, observed 2026-08-06T18:28:17.460278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:15.554012Z digest=sha256:316a2d6c2fe798cbde98d36bc0778611b0fa13eb84fc6dc987021a0465386ded

Observation ffb0c6c3-1d83-4438-a345-9a46428d88d5 · outbound

This paper cites Quantum algorithms for Second-Order Cone Programming and Support Vector Machines.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithms for Second-Order Cone Programming and Support Vector Machines

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:28:16.725488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:15.669016Z digest=sha256:37cc6832d94ee2712385b731c710acd075a54c4c62ceb2bad16b8e1bf21fb81c

Observation e7e1a4e6-b9e4-47cf-b93a-385b89327e71 · outbound

This paper cites A quantum interior-point method for second- order cone programming.

Quantum Algorithms for Projection-Free Sparse Convex Optimization A quantum interior-point method for second- order cone programming

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:28:17.444600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:15.738947Z digest=sha256:c5c97574bee3ab5e3b9673e51b94cf3d49f2286dbf11bb9bfbd70ed0385c306b

Observation 6ddf94bb-fd5e-4811-ae3c-860101568856 · outbound

This paper cites Estimating the largest eigenvalue by the power and lanczos algorithms with a random start.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Estimating the largest eigenvalue by the power and lanczos algorithms with a random start

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T18:28:15.848396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:28:15.848396Z digest=sha256:9a9d7f1c2f488595faf1616cfa3ac77d890fefd51adc9dbe961e2dcd56495f20

Observation 311b3d9c-3954-432f-9c77-8d2edb4c2223 · outbound

This paper cites The Complexity of Large-scale Convex Programming under a Linear Optimization Oracle.

Quantum Algorithms for Projection-Free Sparse Convex Optimization The Complexity of Large-scale Convex Programming under a Linear Optimization Oracle

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T18:28:15.991861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:28:15.991861Z digest=sha256:b58f954f3a0e35e2d3c7e258153ad9ff73e5874fab171e34b74ec8f5c373b878

Observation 7a226a10-4002-463d-a0aa-448ec4f000a6 · outbound

This paper cites Conditional gradient sliding for convex optimization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Conditional gradient sliding for convex optimization

Reference 52

Resolution
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raw_fallback, observed 2026-08-06T18:28:17.417220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.142938Z digest=sha256:80f9b81579a4db87be4cbcc6731954d0cd0c566653a3e195c1e77b7ac5962cad

Observation 6746d9ed-f8e1-43a0-9737-17b453502882 · outbound

This paper cites Constrained minimization methods.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Constrained minimization methods

Reference 53

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raw_fallback, observed 2026-08-06T18:28:17.401625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.196522Z digest=sha256:bdf13f3d9b1357b06b8b1e26e70ee182c02de5e0b90a2b1fd066c114794f8bbb

Observation db659398-4261-482a-9541-b4445da39cbe · outbound

This paper cites Projection free online learning over smooth sets.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Projection free online learning over smooth sets

Reference 54

Resolution
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raw_fallback, observed 2026-08-06T18:28:17.385862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.227810Z digest=sha256:f46be8fe353a08ba76f176ca30630e5c0e4878ad3c034fe00f5fe21ea7cab2a6

Observation 65b5d1e1-fa90-4db4-a82b-bdd333aa5398 · outbound

This paper cites Sublinear quantum algorithms for training linear and kernel-based classifiers.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Sublinear quantum algorithms for training linear and kernel-based classifiers

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:28:17.370030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.260496Z digest=sha256:19f8a1beccce58a23010d17f1ded2d59f7191019df53c998758f4fb65e96a548

Observation 636aa309-e0db-439d-aa5e-53f6c35092a5 · outbound

This paper cites Quantum speedups of optimizing approximately convex functions with applications to logarithmic regret stochastic convex bandits.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum speedups of optimizing approximately convex functions with applications to logarithmic regret stochastic convex bandits

Reference 56

Resolution
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raw_fallback, observed 2026-08-06T18:28:17.354260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.332290Z digest=sha256:15ebbab92fe6670dbc0594863d8116e64ad94e12e92021d6ccaa35fff2686172

Observation 9c9d6ee5-1fd3-4582-8734-e59354fd846b · outbound

This paper cites A Quantum Online Portfolio Optimization Algorithm.

Quantum Algorithms for Projection-Free Sparse Convex Optimization A Quantum Online Portfolio Optimization Algorithm

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:28:16.680770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.400338Z digest=sha256:3c1d3df415fa99e53722c2723a5a5d7f31f5c970fe3b24aaa81ce535f4ae6ba9

Observation 6e1ad5bb-69bc-4f25-bc90-a599a0018592 · outbound

This paper cites Quantum algorithms for supervised and unsupervised machine learning.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithms for supervised and unsupervised machine learning

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T18:28:16.434520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:28:16.434520Z digest=sha256:c90e497b38e77bd97733209a77c3c20302d0394fb8962b00427705e7286d27cd

Observation 22c188f9-f408-48fd-84c2-8bcda0fcbf75 · outbound

This paper cites Quantum principal component analysis.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum principal component analysis

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T18:28:16.440345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:28:16.440345Z digest=sha256:2b8b1f0f5483772a9e15a4bd9bf10106810ed91754843ea44ae155463329861a

Observation 57f02dc2-4d00-4bc8-bbf3-af52181ba9b3 · outbound

This paper cites Critically damped quantum search.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Critically damped quantum search

Reference 60

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raw_fallback, observed 2026-08-06T18:28:17.326861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.445202Z digest=sha256:e52f5ed647adaee60840165489cb4637bd18d9af94605d6bb4fc611a2aacc751

Observation 75637da2-5d1d-4a71-bf10-e2c22bc4bd6a · outbound

This paper cites PhD thesis, INRIA Grenoble, 2014.

Quantum Algorithms for Projection-Free Sparse Convex Optimization PhD thesis, INRIA Grenoble, 2014

Reference 61

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raw_fallback, observed 2026-08-06T18:28:17.310407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.449715Z digest=sha256:0a006fff5f109bdcc978b93c2cf6ab876f9525d1e6e2dd4e4f0d6333af4152d7

Observation 19d0fc84-75ba-43c0-96e4-c27902025eeb · outbound

This paper cites The frank-wolfe algorithm: a short introduction.

Quantum Algorithms for Projection-Free Sparse Convex Optimization The frank-wolfe algorithm: a short introduction

Reference 62

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raw_fallback, observed 2026-08-06T18:28:17.288768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.454660Z digest=sha256:afeb400aa9a8aa74c7669f3d76e7da5c2dbcbbe6b2d1b3c46b17abac5daaa49c

Observation d0986675-1c19-46b0-ba88-2f682dfda2a9 · outbound

This paper cites Quantum support vector machine for big data classification.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum support vector machine for big data classification

Reference 63

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raw_fallback, observed 2026-08-06T18:28:17.270934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.459427Z digest=sha256:cdf44b7db40561375df1f845e091222af8b37d6bd6a3c48db213015f26468ddc

Observation eb8236a4-e4fd-4307-9653-4d313c247bce · outbound

This paper cites Quantum gradient descent and newton’s method for constrained polynomial optimization.New Journal of Physics, 21(7):073023, 2019.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum gradient descent and newton’s method for constrained polynomial optimization.New Journal of Physics, 21(7):073023, 2019

Reference 64

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raw_fallback, observed 2026-08-06T18:28:17.254886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.464158Z digest=sha256:9a73a1310f20ca8622ef5654d4b0353647ea27a5c541fd9666c8b8e001de25bf

Observation b075af6d-1966-4da7-abef-58bf3ff1b175 · outbound

This paper cites Quantum search with prior knowledge.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum search with prior knowledge

Reference 65

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verified exact
local_arxiv, observed 2026-08-06T18:28:16.633217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.468737Z digest=sha256:9a80a6e24c54eca7d4ac3064e244aa95e82c959355e105497668fb674915f770

Observation 60f35061-7bb8-467c-a417-fc5a7e8a1d4b · outbound

This paper cites Quantum speedups for stochastic optimization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum speedups for stochastic optimization

Reference 66

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raw_fallback, observed 2026-08-06T18:28:17.236764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.473780Z digest=sha256:78883861483dd6940efde194be40bb283c90368b92abdc137593fe48d3771f67

Observation 9f681c8d-67a3-48e6-9d13-b8d8057df2e5 · outbound

This paper cites Improvements in quantum SDP-solving with applications.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Improvements in quantum SDP-solving with applications

Reference 67

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raw_fallback, observed 2026-08-06T18:28:17.220467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.479248Z digest=sha256:9afedd33d31ed67217c1c9372d44dcb8a318862b6112f39312d83e7b2eea57cc

Observation 10cfa2d1-b3f2-4580-969f-e10a90e28e8c · outbound

This paper cites Quantum algorithms for zero-sum games.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithms for zero-sum games

Reference 68

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unresolved
no resolver link, observed 2026-08-06T18:28:16.483639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:28:16.483639Z digest=sha256:b9012200e22dd04d51816667bbdc5d1ce88fb130155ec8151860b83d007a5580

Observation 3f06804d-a8a2-4553-adab-5459a057283b · outbound

This paper cites Quantum SDP-solvers: Better upper and lower bounds.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum SDP-solvers: Better upper and lower bounds

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-06T18:28:17.201529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.488497Z digest=sha256:bee3da173e5eb931930d5dd0e7e5b0fb2987557a4d9f9cab0dc7393d332ed881

Observation 62085dc6-ef94-47c5-a7ab-21e9e9f76484 · outbound

This paper cites Convex optimization using quantum oracles.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Convex optimization using quantum oracles

Reference 70

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raw_fallback, observed 2026-08-06T18:28:17.186237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.493411Z digest=sha256:34806174ca52ed1330c136a1b5294794f3068537d923748bd469ab4453a73023

Observation 93b1bdff-9553-45b0-9eb2-f39221750ad4 · outbound

This paper cites Quantum multi-armed bandits and stochastic linear bandits enjoy logarithmic regrets.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum multi-armed bandits and stochastic linear bandits enjoy logarithmic regrets

Reference 71

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raw_fallback, observed 2026-08-06T18:28:17.170604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.498311Z digest=sha256:71b56c584647c8d09f2a57f331b5b40c7e0f2f7e1895caaddf412cfcf0a59724

Observation fff3117b-c0ca-4596-9346-d8239e86a30a · outbound

This paper cites Quantum exploration algorithms for multi-armed bandits.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum exploration algorithms for multi-armed bandits

Reference 72

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raw_fallback, observed 2026-08-06T18:28:17.153889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.503000Z digest=sha256:79bd9fdf3163b8554ee2af237f3856ea5581c4ed119783f0e86548493c5ef812

Observation 8a2fc94c-de27-4799-9e16-47abc409891c · outbound

This paper cites Convergence theory in nonlinear programming.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Convergence theory in nonlinear programming

Reference 73

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raw_fallback, observed 2026-08-06T18:28:17.136553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.507044Z digest=sha256:02625b068bf782cf90f8a2eb004e962bf9c646104bb38ebb6009fe8aeb60fc34

Observation 9cc7f2df-19b5-4947-9870-3e719bf44d5c · outbound

This paper cites Quantum linear system algorithm for dense matrices.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum linear system algorithm for dense matrices

Reference 74

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unresolved
no resolver link, observed 2026-08-06T18:28:16.511399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9b031dd8-fcd8-4725-9d58-54c01c1cc435 · outbound

This paper cites Efficient projection-free online meth- ods with stochastic recursive gradient.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Efficient projection-free online meth- ods with stochastic recursive gradient

Reference 75

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raw_fallback, observed 2026-08-06T18:28:17.104122Z

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source=pdf_text observed=2026-08-06T18:28:16.515931Z digest=sha256:761b9c2663f9da0e47b465684822b6baac553099a1be48ef20146a06950f5628

Observation b6288872-8137-4dcf-9063-a5269dbf92b1 · outbound

This paper cites Fixed-point quantum search with an optimal number of queries.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Fixed-point quantum search with an optimal number of queries

Reference 76

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raw_fallback, observed 2026-08-06T18:28:17.083273Z

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source=pdf_text observed=2026-08-06T18:28:16.520369Z digest=sha256:451fc06973dd518310d54d28d85c65af3c61f60ef412b66c91b585e92ca77ebc

Observation 03f5505f-7e43-406a-bedb-5889f7ad2e00 · outbound

This paper cites Conditional gradient methods via stochastic path- integrated differential estimator.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Conditional gradient methods via stochastic path- integrated differential estimator

Reference 77

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raw_fallback, observed 2026-08-06T18:28:17.057754Z

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source=pdf_text observed=2026-08-06T18:28:16.524782Z digest=sha256:9ab74d9949b0bda3947b70bf207014b1c01f2c1472e655482b1b02e124e5b042

Observation 22700cbe-8aeb-4343-b35e-28a86028c21b · outbound

This paper cites Quantum lower bounds for finding stationary points of nonconvex functions.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum lower bounds for finding stationary points of nonconvex functions

Reference 78

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raw_fallback, observed 2026-08-06T18:28:17.033076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.529530Z digest=sha256:d467fe4c643bcab12f8c026ee80bf643cea054e8e06343a49351d5982630b16b

Observation d683ab8d-f5c6-451d-869f-055fa6153263 · outbound

This paper cites One sample stochas- tic frank-wolfe.

Quantum Algorithms for Projection-Free Sparse Convex Optimization One sample stochas- tic frank-wolfe

Reference 79

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raw_fallback, observed 2026-08-06T18:28:17.015129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.534089Z digest=sha256:19c2cb4b9c56a01da141c665cdbb8d065e56aee29387bf01b68ecab513a67f9c

Observation 68e2816c-5122-4a5f-930d-b9ca848c3ff8 · outbound

This paper cites Accelerated training for matrix-norm regulariza- tion: A boosting approach.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Accelerated training for matrix-norm regulariza- tion: A boosting approach

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-06T18:28:16.995951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.538635Z digest=sha256:d75e750419e654cb2e4309c7e7be4681019264a6f9c81de16626161b2e73145a

Observation b14ea096-c1f3-49c1-b324-9203129be1e4 · outbound

This paper cites Quantum algorithms and lower bounds for finite-sum optimization.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Quantum algorithms and lower bounds for finite-sum optimization

Reference 81

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raw_fallback, observed 2026-08-06T18:28:16.976919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.543159Z digest=sha256:e2300b6579343e258e04d062dbd08ba99a9aa11ccfe8ce188a3b009aae7daa4c

Observation c1309e01-ec93-4903-b433-e4bd7590b2ea · outbound

This paper cites an unresolved cited work.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Unresolved cited work

Reference 82

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unresolved
raw_fallback, observed 2026-08-06T18:28:16.959537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.548635Z digest=sha256:2802a1ffb3c29235396c2ed4cc878d3b34d29f60b250843ce52c6e8f63b60f84

Observation e4a8dd0f-e9f9-415f-9cc1-10bcffb1a6f2 · outbound

This paper cites an unresolved cited work.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Unresolved cited work

Reference 83

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unresolved
raw_fallback, observed 2026-08-06T18:28:16.939317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.553511Z digest=sha256:90c5f007ee97e87c24fa0337e7276aed584dec3cb2ebce938c4313598d79d107

Observation 132a38cd-ba45-4394-b14a-2025906f7180 · outbound

This paper cites an unresolved cited work.

Quantum Algorithms for Projection-Free Sparse Convex Optimization Unresolved cited work

Reference 84

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unresolved
raw_fallback, observed 2026-08-06T18:28:16.917708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.558034Z digest=sha256:e2c4e4eedb809a921ee5238a74fbbe8fc8abfe6d7f7fe8d329c5fa909e31b085

Observation 059cf5d3-b131-4dc1-8813-1e95ddbff5fd · outbound

This paper cites By Theorem 1 of [24], the algorithm finds the minimum gi(x) with probability 1 /2, O( √ d) applications of Ug, U † g and O( √ d) elementary gates.

Quantum Algorithms for Projection-Free Sparse Convex Optimization By Theorem 1 of [24], the algorithm finds the minimum gi(x) with probability 1 /2, O( √ d) applications of Ug, U † g and O( √ d) elementary gates

Reference 85

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raw_fallback, observed 2026-08-06T18:28:16.896004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:28:16.563095Z digest=sha256:d3049043a51571e9263c33000bbd6557458006d563b37a042cd2bd8180bd4f70

Pith citing papers

No inbound Pith citation observations are available.