Paper Citation Record · LEDGER

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients

As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.11616.

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

pith.paper-citation-record.v1
2501.11616 v3

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:14:14.364400Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

41 of 41 outbound references displayed

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verified fuzzy31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afa67a25-2502-4d44-a765-257b4d3931ed · outbound

This paper cites Advances in Neural Information Processing Systems 31 (2018).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Advances in Neural Information Processing Systems 31 (2018)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:15.130360Z

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Observation ce3587d7-e08c-48a8-9e3c-119cb980528e · outbound

This paper cites Mathematical Programming 134, 223–257 (2012).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Mathematical Programming 134, 223–257 (2012)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:15.117185Z

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Observation 24a282c6-ac75-42c5-be4d-6a9e6ae80cd5 · outbound

This paper cites Constructive approximation 28, 253–263 (2008) ZORO-F A 21.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Constructive approximation 28, 253–263 (2008) ZORO-F A 21

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:15.103265Z

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Observation 25051965-8328-4b8c-96f0-a9ba24bc149e · outbound

This paper cites SIAM Journal on Optimization 30 (2020).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients SIAM Journal on Optimization 30 (2020)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:15.088913Z

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Observation 3e059426-31c0-4678-8ad7-37a972c72b07 · outbound

This paper cites Journal of Machine Learning Research 1, 281–305 (2012).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Journal of Machine Learning Research 1, 281–305 (2012)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:15.075171Z

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Observation 9ae5a936-946e-458c-9d63-086b7608ce82 · outbound

This paper cites PMLR, 1193–1203 (2021).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients PMLR, 1193–1203 (2021)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:15.060792Z

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Observation 2a1aa155-b366-4e73-a987-cdc8767392bd · outbound

This paper cites Applied and Computational Harmonic Analysis 60, 242–266 (2022).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Applied and Computational Harmonic Analysis 60, 242–266 (2022)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:15.047110Z

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Observation 85bb09e0-890e-4008-b1ac-19901bbe8c3f · outbound

This paper cites SIAM Journal on Optimization 32, 687–714 (2022).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients SIAM Journal on Optimization 32, 687–714 (2022)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:15.033586Z

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This paper cites Mathematical Programming 199, 461–524 (2023).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Mathematical Programming 199, 461–524 (2023)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:15.019315Z

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Observation e079fe79-a62e-4644-857a-e98e083e4a91 · outbound

This paper cites Information and Inference: A Journal of the IMA, 11(1), 167-201.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Information and Inference: A Journal of the IMA, 11(1), 167-201

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:15.005624Z

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Observation 2861753a-9db7-49b0-8650-4eab6bb13dd6 · outbound

This paper cites Mathematical Programming, 198(1), 997-1058.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Mathematical Programming, 198(1), 997-1058

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.991513Z

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Observation e5de5e02-559a-4b04-866f-e78b4187990d · outbound

This paper cites DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 12

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Observation e231962e-badb-46cb-9571-67e85a9d548b · outbound

This paper cites Conference on Robot Learning, 683–696 (2020).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Conference on Robot Learning, 683–696 (2020)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.978077Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36cfcda5-9727-4ec3-9cf2-4c5a37db11ae · outbound

This paper cites Approximation Theory XIII: San Antonio 2010.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Approximation Theory XIII: San Antonio 2010

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.963847Z

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Observation 895c6ce8-9d4c-4caa-84c9-527f8d8e5b34 · outbound

This paper cites Computational Optimization and Applications 85, 683–703 (2023).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Computational Optimization and Applications 85, 683–703 (2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.949629Z

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Observation bb2a1dd1-a0f2-4c9f-a9fd-a45cf1d20a80 · outbound

This paper cites Optimization Letters 18, 195–213 (2024).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Optimization Letters 18, 195–213 (2024)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.935937Z

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Observation c9948751-067a-4767-80eb-5cef4d5b433e · outbound

This paper cites Curvature-Aware Derivative-Free Optimization.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Curvature-Aware Derivative-Free Optimization

Reference 17

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Observation c5e563f5-ae87-4a0f-9952-544d42d24a41 · outbound

This paper cites Computational Optimization and Appli- cations 79, 339–368 (2021).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Computational Optimization and Appli- cations 79, 339–368 (2021)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.922341Z

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Observation 819943aa-d9a2-4aca-99d3-822aa93b2625 · outbound

This paper cites Mathematical Programming, 199(1), 1179-1219 (2023).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Mathematical Programming, 199(1), 1179-1219 (2023)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.908441Z

Source-reported events for the cited work

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Observation 257cdde2-f33f-4c89-82fe-9de0ca61ec2e · outbound

This paper cites arXiv preprint arXiv:2402.15751 (2024).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients arXiv preprint arXiv:2402.15751 (2024)

Reference 20

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Observation 7ffdc438-7601-4412-a6cc-0899a7616957 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Advances in Neural Information Processing Systems 36 (2024)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.894301Z

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Observation a095d650-9115-49b1-829f-a251b9cf5db5 · outbound

This paper cites Proceedings of the 32nd International Conference on Neural Information Processing Systems, 1805–1814 (2018).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Proceedings of the 32nd International Conference on Neural Information Processing Systems, 1805–1814 (2018)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.879759Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8dd0830c-9128-4a8f-9fa6-646b7e43ae4a · outbound

This paper cites ACM Transactions on Mathematical Software 7, 17–41 (1981).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients ACM Transactions on Mathematical Software 7, 17–41 (1981)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.865466Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9fcc6d7e-eab6-4e26-8ed4-f22d1dba70a8 · outbound

This paper cites SIAM Jour- nal on Optimization 20, 172–191 (2009).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients SIAM Jour- nal on Optimization 20, 172–191 (2009)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.850763Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3803a49e-743f-47a2-92ef-aa660e0d49e3 · outbound

This paper cites Applied Stochastic Models in Business and Industry 33, 314–321 (2017).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Applied Stochastic Models in Business and Industry 33, 314–321 (2017)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.836845Z

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Observation a9a69038-4ab5-4a21-97b7-d300bfbb4ab0 · outbound

This paper cites Applied and computational harmonic analysis 26, 301–321 (2009).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Applied and computational harmonic analysis 26, 301–321 (2009)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.822232Z

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Observation 5aa23d8e-b61c-4b2c-87b9-75444a39cc14 · outbound

This paper cites The Computer Journal 7, 308-313 (1965).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients The Computer Journal 7, 308-313 (1965)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.807986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e7f2d78-9b98-43cb-92ef-6f6a695a99db · outbound

This paper cites Foundations of Computational Mathematics 17, 527–566 (2017) 22 Geovani N.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Foundations of Computational Mathematics 17, 527–566 (2017) 22 Geovani N

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.792986Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 709303be-87b2-461b-b670-b4e8355f3b5a · outbound

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Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0fef3e2b-92d7-4f77-85d1-586fb044541c · outbound

This paper cites Large-scale nonlinear optimization, 255–297 (2006).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Large-scale nonlinear optimization, 255–297 (2006)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.762933Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3bfb8e5-6a88-4d13-94c2-3eb60ec06be7 · outbound

This paper cites SIAM Journal on Optimization 33 (2023).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients SIAM Journal on Optimization 33 (2023)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.748616Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5fa4e29f-e330-40bd-8e23-4f941e519d77 · outbound

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

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 32

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Observation 4432b234-9cf6-48a2-957c-b625a5ce06d0 · outbound

This paper cites Adapting Zeroth Order Algorithms for Comparison-Based Optimization.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Adapting Zeroth Order Algorithms for Comparison-Based Optimization

Reference 33

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Observation e572884d-4242-48af-a2df-5c3dff3b846b · outbound

This paper cites Optimization Methods and Soft- ware 38, 289–311 (2023).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Optimization Methods and Soft- ware 38, 289–311 (2023)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.733807Z

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Observation c11176e4-455b-4265-87e7-523e59b18895 · outbound

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Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:14:14.718209Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64e44437-e2cd-4ad7-b520-096046f7a90a · outbound

This paper cites Journal of Artificial Intelligence Research, 55, 361-387.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Journal of Artificial Intelligence Research, 55, 361-387

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.704330Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07e999bf-a6c6-482c-a7fb-f09f9675b30d · outbound

This paper cites PMLR, 1356–1365 (2018).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients PMLR, 1356–1365 (2018)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.689449Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b6da7539-b743-4632-bd6d-e2834e758ea2 · outbound

This paper cites In The Thirty Sixth Annual Conference on Learning Theory.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients In The Thirty Sixth Annual Conference on Learning Theory

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:14:14.674050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f7eb6c8-3615-4901-ad6a-26fef140f717 · outbound

This paper cites Available at http://www.libprima.net,DOI:10.5281/zenodo.8052654 (2023).

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Available at http://www.libprima.net,DOI:10.5281/zenodo.8052654 (2023)

Reference 39

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Observation 587dd179-8177-4fef-b1fa-63cf172da2b5 · outbound

This paper cites Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.

Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T18:14:14.356724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 885fdb4c-849c-46ed-a0c1-7432358f43e6 · outbound

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Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:14:14.659894Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.