Pith. sign in

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 2026-08-18T06:34:40.430872+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

  • verified exact0
  • verified fuzzy31
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.181939Z digest=sha256:9c443e9d8760b1a1ddb28f591d70ddda71f047a7052fb0c62a69aadef2f96137

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.187311Z digest=sha256:9b950ed4e0bc90189311255e4d62cbff0165ec71078b59fd6ee16bbfcf3d94f5

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.191840Z digest=sha256:e4aa7c503ca79fc7a30a76ef4864d77f0a24dbbdd9befcbc9c85dc929e74a933

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.196497Z digest=sha256:211ae33e5a672ae549e28b2ac3071b0714e42f94304923ff0d33d5842077023c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.201045Z digest=sha256:781cf77a698fc0559b60d0a82f9eb9122dfbdcb2ba627b1ee98ddc79a113c6d3

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.205049Z digest=sha256:7524de1b1b887000a328615e422a4ecccce7f0532a914cb639ec48011e8a9e75

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.209432Z digest=sha256:237552e883819c6aed842347ba131404196d714c48caa0fa375ae3e1aa6e3ec9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.213203Z digest=sha256:d161107e0249da19d698934fee53439ca7b73c48401e5aeb61e3e75d634d78ab

Observation 69bd704c-86fe-4542-9fd3-8bc8775cce6d · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.217024Z digest=sha256:78eed09170a5e7154683d2383c6505a773aa8f6733951ec539c57a8740f5eadc

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.220975Z digest=sha256:e0afd0ef3583a2a1533d3bd21d4db9ddda0e11d56dd7a60e19131a6d3c31b1d5

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.224982Z digest=sha256:a46de253f7fd9366ae075d20b4f1beea2adfc70907c8192fa52b8dc33c96f31a

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

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:14.229341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:14:14.229341Z digest=sha256:66bfe38b87275ea051f218f22823d6f025accc9a429972901511ee1455e48019

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.233755Z digest=sha256:693b1bce9fad29f050ed31812309bd976d110677570e5fa49f11926d228c8e75

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.238150Z digest=sha256:8f479c9f9c42e4c9578f1bb1e3d95a85a61de350ff8fb3cefa6d5675b2407f7b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.242295Z digest=sha256:7d2f868f7a08076796566f80675b5afcefd61b2963be4efe9444427e971beb19

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.246514Z digest=sha256:170896d847e8e668aa8b822f6755a7df35d29df2672aee104fca140aebb39c61

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

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:14.250571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:14:14.250571Z digest=sha256:301041cb31a72934885758b78d7454a4dab84c31ce479af752c273494be8e242

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.255286Z digest=sha256:39d66c322712a8c2be02871fc5a7369b519d767559e3b5ee3e937196670734e0

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.259901Z digest=sha256:ca5330a13ce49aa9dd9bac4f97a773253c8cf7ea4ceb22e16c2a00ae48c43637

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

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:14.264935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:14:14.264935Z digest=sha256:da8391d6c7efb537fd028ffcf8a4c7b3b3beceaa8b11ff9fd9754ccae376e41d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.269055Z digest=sha256:80851fec8f31193edd2e453719ca6d96ab3eddb9360b15e2be2588a672131c4b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.273418Z digest=sha256:4b615e85f190a5ad509bf03de7a726f9c600ac2fdc9a0420c30ebff555792c68

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.277468Z digest=sha256:fc2c13a99c0d1ef33a3ab79502a387520d9974b06e50b2a671aaee80d71b3301

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.281906Z digest=sha256:54b949d3662208dfa80768c560350436e3c3221ec067c9d4f36a33e7664b75de

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.286239Z digest=sha256:7284864bbcd30c73905cd34a90b015377b370ed0451aa1ba693bba9591d419a1

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.290469Z digest=sha256:c806e24281e56c34c71e9e7d4a051c228f6ca0409ddc57cdf76f80d71ed4397d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.294776Z digest=sha256:251dbd8a828153675190737b2487e38f5dc767a2a16a232a3f59f119a8d0cead

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.299601Z digest=sha256:aef86d3a1667c67da9cc784f27f89cb9a658eb9a97f27b62df9fbb0824b3d8bc

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

This paper cites an unresolved cited work.

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

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:14.778535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.303807Z digest=sha256:c34dc83bfc6be847f2b1cd415e555e1e975aad568045e0dd5f1145528edeb28c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.308062Z digest=sha256:3ea4d6487841b1a4fdabe893b6f018ebacbf4e89e5807b071f59be13e59a3e9e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.312380Z digest=sha256:e69923e80e43b1505c1a66dbacd8822f0bc3b0118ef4d54a2af3b0c0e0cf90f2

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

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:14.316768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:14:14.316768Z digest=sha256:22c8b176e3c05c2ea547714ae8169bfdc4172b437c685431432cc3684e3be1d4

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T18:14:14.452028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.321149Z digest=sha256:7df2b374b055acf17971d624cc9ab9e9c5093c71509edf5520f50a0c86e9a9dc

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.325726Z digest=sha256:e075b710c2ceebf24b58e5530837ba3dbea25c743acf123494d611c6321d8d1d

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

This paper cites an unresolved cited work.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.329928Z digest=sha256:1029076315565499f8d7ab68098474dc7339461fca7b2b18ed022889c6dc0a7f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.334442Z digest=sha256:bf116e8ce498b9adf28f802849723e9b2d00e770d31c7db45d28b6582b181b9c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.338671Z digest=sha256:911a3e49576b76152eb3759d1c56a4b3383e2e2b5d6697eb88eebd33ac609e17

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.342949Z digest=sha256:bb3ec256d9cec5358894f6517d80c95334e2f634dbbbb19bdd0181a7903e4525

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

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:14.347048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:14:14.347048Z digest=sha256:87a36fa55606d838b16a7c3e47ff90cefcdbb17eb868fa08112aa42d5696b72f

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.

source=pdf_text observed=2026-08-10T18:14:14.356724Z digest=sha256:d1a62d8211d4c8d252be8f5bd85582aae79eb88196f22886dfa712e6986882ab

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

This paper cites an unresolved cited work.

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

Reference 41

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:14:14.364400Z digest=sha256:c9b1d5b89e5350953523d543c148be4fd5d756bb36ab10b9095bb3702a2afefb

Pith citing papers

No inbound Pith citation observations are available.