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Paper Citation Record · LEDGER

On quasi-convex smooth optimization problems by a comparison oracle

As of 13 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2411.16745.

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

pith.paper-citation-record.v1
2411.16745 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:09:46.602526Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

57 of 57 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04d7d138-6b7e-4636-82c4-6b164a66950f · outbound

This paper cites Disciplined quasiconvex programmin g, Optim Lett, 2020, vol.

On quasi-convex smooth optimization problems by a comparison oracle Disciplined quasiconvex programmin g, Optim Lett, 2020, vol

Reference 1

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This paper cites A gradient e stimator via l1- randomization for online zero-order optimization with two point feedback, in Ad- vances in Neural Information Processing Systems, vol.

On quasi-convex smooth optimization problems by a comparison oracle A gradient e stimator via l1- randomization for online zero-order optimization with two point feedback, in Ad- vances in Neural Information Processing Systems, vol

Reference 2

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On quasi-convex smooth optimization problems by a comparison oracle Unresolved cited work

Reference 3

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Observation 6f31f007-4780-4fe8-b8dd-b78a42fa9c79 · outbound

This paper cites Mesh adaptive direct search algorith ms for constrained optimiza- tion, SIAM Journal on Optimization, 2006, vol.

On quasi-convex smooth optimization problems by a comparison oracle Mesh adaptive direct search algorith ms for constrained optimiza- tion, SIAM Journal on Optimization, 2006, vol

Reference 4

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Observation b2ec14c2-ac2b-4dff-be29-eb22f70f00e5 · outbound

This paper cites Goal -driven dynamics learning via bayesian optimization, in IEEE 56th Annual Conference on Decision and Control (CDC), 2017, pp.

On quasi-convex smooth optimization problems by a comparison oracle Goal -driven dynamics learning via bayesian optimization, in IEEE 56th Annual Conference on Decision and Control (CDC), 2017, pp

Reference 5

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Observation 9780427a-cb28-4c10-9212-18b3fe9f3e72 · outbound

This paper cites Highly-smooth zero-th order online o ptimization, in Conference on Learning Theory, PMLR, 2016, pp.

On quasi-convex smooth optimization problems by a comparison oracle Highly-smooth zero-th order online o ptimization, in Conference on Learning Theory, PMLR, 2016, pp

Reference 6

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Observation 5b0fc460-98f0-4dbe-9224-d93717f5170d · outbound

This paper cites Zeroth-order nonconvex stochastic optimization: Handling constraints, high dimensionality, and saddle poi nts, Found Comput Math, 2022, vol.

On quasi-convex smooth optimization problems by a comparison oracle Zeroth-order nonconvex stochastic optimization: Handling constraints, high dimensionality, and saddle poi nts, Found Comput Math, 2022, vol

Reference 7

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Observation 3616f1f7-090e-4ed0-ae88-c84c9c396d9c · outbound

This paper cites Stochastic three p oints method for uncon- strained smooth minimization, SIAM Journal on Optimizatio n, 2020, vol.

On quasi-convex smooth optimization problems by a comparison oracle Stochastic three p oints method for uncon- strained smooth minimization, SIAM Journal on Optimizatio n, 2020, vol

Reference 8

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Observation 0eda4c73-c3f7-40b6-9d36-d01525b78b89 · outbound

This paper cites Convex Optimization , New York: Cambridge University Press, 2004.

On quasi-convex smooth optimization problems by a comparison oracle Convex Optimization , New York: Cambridge University Press, 2004

Reference 9

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Observation d2d8ba18-1738-4d4a-aee3-04ca803bf1bc · outbound

This paper cites Algorithms for Minimization Without Derivatives , Dover Books on Mathe- matics, Dover Publications, 1973.

On quasi-convex smooth optimization problems by a comparison oracle Algorithms for Minimization Without Derivatives , Dover Books on Mathe- matics, Dover Publications, 1973

Reference 10

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Observation 135c969a-b066-4899-bd74-2cac851923d5 · outbound

This paper cites Regret analysis of stochast ic and nonstochastic multi- armed bandit problems, Foundations and Trends in Machine Le arning, 2012, vol.

On quasi-convex smooth optimization problems by a comparison oracle Regret analysis of stochast ic and nonstochastic multi- armed bandit problems, Foundations and Trends in Machine Le arning, 2012, vol

Reference 11

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Observation 3a79f390-1afd-4c5b-9d46-4be7ed46fa7a · outbound

This paper cites Zoo: Zeroth o rder optimization based black-box attacks to deep neural networks without training substitute models, in Proc.

On quasi-convex smooth optimization problems by a comparison oracle Zoo: Zeroth o rder optimization based black-box attacks to deep neural networks without training substitute models, in Proc

Reference 12

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Observation 2ebb3309-7a27-4e4a-b651-2f0e3781a80b · outbound

This paper cites Optimizing simula- tions with noise-tolerant structured exploration, in IEEE International Conference on Robotics and Automation (ICRA), 2018, pp.

On quasi-convex smooth optimization problems by a comparison oracle Optimizing simula- tions with noise-tolerant structured exploration, in IEEE International Conference on Robotics and Automation (ICRA), 2018, pp

Reference 13

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Observation 377d60e1-a8a5-4160-9e54-479271c0d6cc · outbound

This paper cites Introduction to Derivative-Free Optimization , MOS-SIAM Series on Optimization, 2009.

On quasi-convex smooth optimization problems by a comparison oracle Introduction to Derivative-Free Optimization , MOS-SIAM Series on Optimization, 2009

Reference 14

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Observation e4490136-4c70-429f-85c9-667a4b272cd5 · outbound

This paper cites Federated bayesian optimizat ion via thompson sampling, in Advances in Neural Information Processing Systems, vol.

On quasi-convex smooth optimization problems by a comparison oracle Federated bayesian optimizat ion via thompson sampling, in Advances in Neural Information Processing Systems, vol

Reference 15

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Observation 4af81b9e-d47b-42f0-88d8-e793632f6f8d · outbound

This paper cites Direct search methods on parallel machines, SIAM Journal on Optimization, 1991, vol.

On quasi-convex smooth optimization problems by a comparison oracle Direct search methods on parallel machines, SIAM Journal on Optimization, 1991, vol

Reference 16

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Observation adb5b548-3914-49da-a37f-48f924cf66b6 · outbound

This paper cites Optimal rates for zero-order con- vex optimization: The power of two function evaluations, IE EE Transactions on Information Theory, 2015, vol.

On quasi-convex smooth optimization problems by a comparison oracle Optimal rates for zero-order con- vex optimization: The power of two function evaluations, IE EE Transactions on Information Theory, 2015, vol

Reference 17

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This paper cites Adaptive subgradient meth ods for online learning and stochastic optimization, Journal of Machine Learning Research , 2011, vol.

On quasi-convex smooth optimization problems by a comparison oracle Adaptive subgradient meth ods for online learning and stochastic optimization, Journal of Machine Learning Research , 2011, vol

Reference 18

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On quasi-convex smooth optimization problems by a comparison oracle Unresolved cited work

Reference 19

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This paper cites SPIDER: Near-optimal non -convex optimization via stochastic path-integrated differential estimator, in Advances in Neural Information Processing Systems, vol.

On quasi-convex smooth optimization problems by a comparison oracle SPIDER: Near-optimal non -convex optimization via stochastic path-integrated differential estimator, in Advances in Neural Information Processing Systems, vol

Reference 20

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Observation 9512aa7a-0e2c-4f74-a8f0-5ac7b03f49ce · outbound

This paper cites Stochastic approximation of minima with impr oved asymptotic speed, Ann.

On quasi-convex smooth optimization problems by a comparison oracle Stochastic approximation of minima with impr oved asymptotic speed, Ann

Reference 21

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This paper cites Convex cones, sets, and functions , Lecture Notes.

On quasi-convex smooth optimization problems by a comparison oracle Convex cones, sets, and functions , Lecture Notes

Reference 22

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On quasi-convex smooth optimization problems by a comparison oracle Unresolved cited work

Reference 23

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This paper cites Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity.

On quasi-convex smooth optimization problems by a comparison oracle Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity

Reference 24

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This paper cites A stochastic derivative free optimization method with momentum, in International Conference on Learning Representations, 2020.

On quasi-convex smooth optimization problems by a comparison oracle A stochastic derivative free optimization method with momentum, in International Conference on Learning Representations, 2020

Reference 25

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This paper cites 28, 2015.

On quasi-convex smooth optimization problems by a comparison oracle 28, 2015

Reference 26

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This paper cites Improved zeroth-order v ariance reduced algorithms and analysis for nonconvex optimization, in International Conference on Machine Learning, PMLR, 2019, pp.

On quasi-convex smooth optimization problems by a comparison oracle Improved zeroth-order v ariance reduced algorithms and analysis for nonconvex optimization, in International Conference on Machine Learning, PMLR, 2019, pp

Reference 27

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This paper cites Uncertainty models in quasiconvex opti mization for geometric re- construction, in IEEE Computer Society Conference on Computer Vision and Pat tern Recognition (CVPR’06), vol.

On quasi-convex smooth optimization problems by a comparison oracle Uncertainty models in quasiconvex opti mization for geometric re- construction, in IEEE Computer Society Conference on Computer Vision and Pat tern Recognition (CVPR’06), vol

Reference 28

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This paper cites Quasiconvex optimization for robust ge ometric reconstruction, in Tenth IEEE International Conference on Computer Vision (Be ijing, China), vol.

On quasi-convex smooth optimization problems by a comparison oracle Quasiconvex optimization for robust ge ometric reconstruction, in Tenth IEEE International Conference on Computer Vision (Be ijing, China), vol

Reference 29

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This paper cites Online to offline conversions, universality and ad aptive minibatch sizes, in Advances in Neural Information Processing Systems, vol.

On quasi-convex smooth optimization problems by a comparison oracle Online to offline conversions, universality and ad aptive minibatch sizes, in Advances in Neural Information Processing Systems, vol

Reference 30

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Source-reported events for the cited work

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This paper cites Convergence and efficiency of subgradient meth ods for quasiconvex mini- mization, Math.

On quasi-convex smooth optimization problems by a comparison oracle Convergence and efficiency of subgradient meth ods for quasiconvex mini- mization, Math

Reference 31

Resolution
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Observation 407616ff-5139-4925-afe2-0402a1ef0aa9 · outbound

This paper cites Adam: A method for stochastic optimizat ion, in International Conference on Learning Representations, 2015.

On quasi-convex smooth optimization problems by a comparison oracle Adam: A method for stochastic optimizat ion, in International Conference on Learning Representations, 2015

Reference 32

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Source-reported events for the cited work

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Observation c0411971-c7f6-4c84-9227-bdadd2d7f1cf · outbound

This paper cites Optimization by direct se arch: New perspectives on some classical and modern methods, SIAM Review, 2003, vol.

On quasi-convex smooth optimization problems by a comparison oracle Optimization by direct se arch: New perspectives on some classical and modern methods, SIAM Review, 2003, vol

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:47.052126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.482161Z digest=sha256:663b664614707bb3b100f4ac883b6287496dabdf55a1c2b47a2cac4a1198c943

Observation 941b3cd0-5239-4379-b440-22f510c10523 · outbound

This paper cites On convergence properties of a subgradient me thod, Optimization Methods and Software, 2003, vol.

On quasi-convex smooth optimization problems by a comparison oracle On convergence properties of a subgradient me thod, Optimization Methods and Software, 2003, vol

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:47.036049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.487607Z digest=sha256:b07fe3f97278c18c1d9653a92df743348325e28d98b1c12cd080e094f082666b

Observation 4d4f7a6b-65ff-4e0f-bbfd-d048e6ec7913 · outbound

This paper cites The theory of incentives: the principal-agent model , Prince- ton university press, 2009.

On quasi-convex smooth optimization problems by a comparison oracle The theory of incentives: the principal-agent model , Prince- ton university press, 2009

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:47.018773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.492952Z digest=sha256:09915371d3548107647bebd4f34eabd366d8994d378e1ae4aec313753d9d1a47

Observation c9c6371a-933c-49f7-9720-29c778d21164 · outbound

This paper cites Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values.

On quasi-convex smooth optimization problems by a comparison oracle Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:46.498317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:09:46.498317Z digest=sha256:f7217f76b7a42d2182db0b80434a46cc53173e4942c9e1ae8be1d78416b148ec

Observation 3a3ae49b-e8cf-4173-8563-6773ed5c0946 · outbound

This paper cites overparametrization.

On quasi-convex smooth optimization problems by a comparison oracle overparametrization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:47.002966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.504599Z digest=sha256:83519db0780940d335ed4d26b9342ae86d30cb6fa082dd0dc678a320c82b93c6

Observation 16014308-4dcc-4494-8306-c58cb2368bb6 · outbound

This paper cites Quasi-convex programming, SIAM J.

On quasi-convex smooth optimization problems by a comparison oracle Quasi-convex programming, SIAM J

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.988225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.509295Z digest=sha256:8dbf4667d41bb2649f365f7c2ee41ef7bbd0d652cec72dc6371c3203fb520015

Observation 2c52f8e2-e3a0-441d-b0c4-dfd13157a0a8 · outbound

This paper cites To wards deep learning models resistant to adversarial attacks, in International Conference on Learning Rep- resentations, 2018.

On quasi-convex smooth optimization problems by a comparison oracle To wards deep learning models resistant to adversarial attacks, in International Conference on Learning Rep- resentations, 2018

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.971619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.514761Z digest=sha256:a8059ff977c0dcd3538245e16b52959fcc953d03408ebea2fd9f19c3f43ee5b2

Observation c25776ed-4c16-476a-bfe3-edb84272941a · outbound

This paper cites Smooth convex optimizat ion using sub-zeroth- order oracles, in Proc.

On quasi-convex smooth optimization problems by a comparison oracle Smooth convex optimizat ion using sub-zeroth- order oracles, in Proc

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.956447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.519891Z digest=sha256:02b1ba5d7f576046723c3da1ec4e8fc22e9f6c75e39bcddaca08968a68536527

Observation 2a2c8402-e6c6-4c4c-9c9c-7b4fd47f96be · outbound

This paper cites Lectures on convex optimization , Switzerland: Springer Optimization and Its Applications, 2018.

On quasi-convex smooth optimization problems by a comparison oracle Lectures on convex optimization , Switzerland: Springer Optimization and Its Applications, 2018

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.941604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.524587Z digest=sha256:13ad2bdb6be60abd4f3cf7cc9f3c9a32902411e87f927509df7fb1e5d27312d5

Observation f3de2b23-9b3b-40d6-8038-5f6ffbe45222 · outbound

This paper cites Random gradient-free minimi zation of convex functions, Foundations of Computational Mathematics , 2017, 17, pp.

On quasi-convex smooth optimization problems by a comparison oracle Random gradient-free minimi zation of convex functions, Foundations of Computational Mathematics , 2017, 17, pp

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.926271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.530117Z digest=sha256:0c1f22c36ea04b06a12f548c8829df92f7dcbd2014492d3d01ba05f318d23b1e

Observation 46c0d28f-324d-4c3e-a62a-963ab2f66e6e · outbound

This paper cites Minimization methods for nonsmooth conve x and quasiconvex functions, Matekon, 1984, vol.

On quasi-convex smooth optimization problems by a comparison oracle Minimization methods for nonsmooth conve x and quasiconvex functions, Matekon, 1984, vol

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.910856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.534938Z digest=sha256:c6429a4a2b10f5905affa6d2d48299f9c2d412f81b11526ab18712f13a7e4251

Observation b5b6f834-754f-4e0f-86ea-73e22be50cf3 · outbound

This paper cites A simplex method for function minimiz ation, The Computer Journal, 1965, vol.

On quasi-convex smooth optimization problems by a comparison oracle A simplex method for function minimiz ation, The Computer Journal, 1965, vol

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.896018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.539852Z digest=sha256:7c7274862d4067117a3e6ec90f85d3c9746142758053e9ce2b9f949a1313a331

Observation eff1cf49-7d40-4337-9ad8-69d73e8d0a79 · outbound

This paper cites On von Neumann’s minimax theorem, Pac.

On quasi-convex smooth optimization problems by a comparison oracle On von Neumann’s minimax theorem, Pac

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.880481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.544289Z digest=sha256:8788d3c2366980b8b5773be2cb09d89ea1caea1bf5900aa000184bda5997b706

Observation 0d405b7b-b53f-46cd-b8b4-ba242118eabc · outbound

This paper cites Distributed online and bandit convex optimiza- tion, in OPT 2022: Optimization for Machine Learning (NeurIPS 2022 W orkshop), 2022.

On quasi-convex smooth optimization problems by a comparison oracle Distributed online and bandit convex optimiza- tion, in OPT 2022: Optimization for Machine Learning (NeurIPS 2022 W orkshop), 2022

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.863458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.548668Z digest=sha256:ab2c859072084a40c1553b90a8f833c2f1f38b7184f6f9ce3e6b3a9e2830ae18

Observation acc584f3-bbd1-4ec5-8718-412514536c97 · outbound

This paper cites Practical black- box attacks against machine learning, in Proc.

On quasi-convex smooth optimization problems by a comparison oracle Practical black- box attacks against machine learning, in Proc

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.847072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.553277Z digest=sha256:d3d07c4e358c844fe9550166818124d6ab0ce24bb7d2068576f6a6a1042f1b9b

Observation cf1cf69f-0a9f-4d3f-a79b-62367cba70a3 · outbound

This paper cites An automatic method for finding the greate st or least value of a function, The Computer Journal, 1960, vol.

On quasi-convex smooth optimization problems by a comparison oracle An automatic method for finding the greate st or least value of a function, The Computer Journal, 1960, vol

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.828774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.557784Z digest=sha256:09a9dbe3d498eccf021a9444bbf3129db80cb7906512bf3e993ea19246f621a6

Observation 18e05a10-d741-47a7-8aab-dfa57d4bcb3c · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

On quasi-convex smooth optimization problems by a comparison oracle Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:46.562305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:09:46.562305Z digest=sha256:de6f5897e40046c595cd2bafc57e8a8d349b085f81f9b535a88b08fc1a2adaf1

Observation bed9b634-3fa4-4ab1-ac39-f892f197af1e · outbound

This paper cites Quasiconvex sum-of-squares progra mming, in 49th IEEE Confer- ence on Decision and Control (CDC), 2010, pp.

On quasi-convex smooth optimization problems by a comparison oracle Quasiconvex sum-of-squares progra mming, in 49th IEEE Confer- ence on Decision and Control (CDC), 2010, pp

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.811557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.567104Z digest=sha256:0fd003dbfaf29cb274ad6f3c792bbda04f06e230767099f258b890393422442c

Observation cf3e002a-a9ab-4912-863a-fc0c9d5dba78 · outbound

This paper cites Zeroth-order optimization m eets human feedback: Provable learning via ranking oracles, in ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023.

On quasi-convex smooth optimization problems by a comparison oracle Zeroth-order optimization m eets human feedback: Provable learning via ranking oracles, in ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.792581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.571624Z digest=sha256:e998fa53bb32ebeb494673c21a60e46154161e81685d93bae4312be56903ada9

Observation 226d8fc2-8fb1-4c37-8f4d-ed80246c9b59 · outbound

This paper cites Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods.

On quasi-convex smooth optimization problems by a comparison oracle Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:46.576636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:09:46.576636Z digest=sha256:366e9b9f59f8bd1611ec7fbe089b0d0b515180fe113945c860b2f07743504ace

Observation 4b948445-3451-452f-9dc8-3d19b65eb889 · outbound

This paper cites Price discrimination and social welfare, The American Economic Review, 1985, pp.

On quasi-convex smooth optimization problems by a comparison oracle Price discrimination and social welfare, The American Economic Review, 1985, pp

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.775823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.581505Z digest=sha256:9514bbd3e3a9f0efcfe4e4cf86e3ef576de0d555c28f6b5334881889a7aa74d0

Observation 456c80b5-8d5e-4956-b400-ece5b913cd56 · outbound

This paper cites Vabo: Violation- aware bayesian optimization for closed-loop control perfo rmance optimization with unmodeled constraints, in 2022 American Control Conference (ACC), IEEE, 2022, pp.

On quasi-convex smooth optimization problems by a comparison oracle Vabo: Violation- aware bayesian optimization for closed-loop control perfo rmance optimization with unmodeled constraints, in 2022 American Control Conference (ACC), IEEE, 2022, pp

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.758158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.586893Z digest=sha256:94e51e611afff7c1938b20434c788c77f3aad18836107efef63c240a9749ef41

Observation 127c15fd-ce3d-466d-ac9d-dda3268eeae4 · outbound

This paper cites Topics in microeconomics: Industrial organization, aucti ons, and in- centives, Cambridge University Press, 1999.

On quasi-convex smooth optimization problems by a comparison oracle Topics in microeconomics: Industrial organization, aucti ons, and in- centives, Cambridge University Press, 1999

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.740983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.592242Z digest=sha256:bf3a14f01127f2e62f1860a023374f2998327586447a291381fd80ad730ad963

Observation ddc07f5e-2b1e-4dcf-ac67-8a1ab64ec943 · outbound

This paper cites Gradient Testing and Estimation by Comparisons.

On quasi-convex smooth optimization problems by a comparison oracle Gradient Testing and Estimation by Comparisons

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:46.597240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:09:46.597240Z digest=sha256:b608103c7c40822eabe6c5cedfe5cfb301e05e5afaf562037a3f7485573cab0a

Observation 59cc1fe1-74c5-4837-9de6-5491d53c1a77 · outbound

This paper cites Zeroth-order negative curvatu re finding: Escaping saddle points without gradients, in Advances in Neural Information Processing Systems, vol.

On quasi-convex smooth optimization problems by a comparison oracle Zeroth-order negative curvatu re finding: Escaping saddle points without gradients, in Advances in Neural Information Processing Systems, vol

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:09:46.724171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:09:46.602526Z digest=sha256:77596d648e2eb00e92d67c4a715dc9eb5c31f498a0b6901f27c86947eb31cfc6

Pith citing papers

No inbound Pith citation observations are available.