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Paper Citation Record · LEDGER

Refining Adaptive Zeroth-Order Optimization at Ease

As of 15 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 3 inbound Pith citation observations for arXiv:2502.01014.

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

pith.paper-citation-record.v1
2502.01014 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:00:29.483520Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T17:33:00.747846Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T17:33:09.432270Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved9
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 854a7abe-da7f-46c9-9b68-85be225aba15 · outbound

This paper cites C., Foster, D.

Refining Adaptive Zeroth-Order Optimization at Ease C., Foster, D

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.318141Z digest=sha256:91a329f8d9888e26381e8dcb3fd7af8936a9dd1933a3bb993829e8e377fb2e22

Observation 00b3c4c0-7539-4a74-9ebf-1340fb3a29c2 · outbound

This paper cites Zo-adamm: Zeroth-order adaptive momentum method for black-box optimization.

Refining Adaptive Zeroth-Order Optimization at Ease Zo-adamm: Zeroth-order adaptive momentum method for black-box optimization

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:30.034194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.323850Z digest=sha256:3e88eb17a1969ee81808e70dd82478d44b4db33ce42d61928dfa82654e572ec4

Observation f8dc7a7f-4080-4920-8315-67fa2cd17026 · outbound

This paper cites On the convergence of prior-guided zeroth-order optimization algorithms.

Refining Adaptive Zeroth-Order Optimization at Ease On the convergence of prior-guided zeroth-order optimization algorithms

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.330368Z digest=sha256:b9e5581aeeaea7461c40066daecd39762f55e98856d1044ef4ed662650ae02c6

Observation d6f7910e-847a-40b7-8705-5708a250631d · outbound

This paper cites C., Bartlett, P.

Refining Adaptive Zeroth-Order Optimization at Ease C., Bartlett, P

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:30.002217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.336081Z digest=sha256:48069b6d54b194d037b45e61c40c5b054dd4db57a222872727cb2333dc700981

Observation 42a2d684-c888-454d-9135-3030cc48e8d6 · outbound

This paper cites T., and McMahan, H.

Refining Adaptive Zeroth-Order Optimization at Ease T., and McMahan, H

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.344209Z digest=sha256:f392b592c4859b6e20fe1f2e703ec8a1c0815f391e71375a5ba62389a703dc13

Observation 97f137c5-11ef-4a1a-a999-3c621b822f90 · outbound

This paper cites Online convex optimization in the bandit setting: gradient descent without a gradient.

Refining Adaptive Zeroth-Order Optimization at Ease Online convex optimization in the bandit setting: gradient descent without a gradient

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T17:00:29.350038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:00:29.350038Z digest=sha256:3899a550adf17ac23e42905fe05573d5061ab01021dd52790b0e625a47db86b4

Observation c782f137-dfc1-4857-b1dc-cdd0f5cedd43 · outbound

This paper cites and Lan, G.

Refining Adaptive Zeroth-Order Optimization at Ease and Lan, G

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.357630Z digest=sha256:27e4e17ee5b80c25c5e96a2154fcf7309e2429af3fb453764ccd90ae20f0d1e2

Observation a3b9ab25-3877-401d-a9ad-ed61c4f4aa9a · outbound

This paper cites Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization.

Refining Adaptive Zeroth-Order Optimization at Ease Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.363223Z digest=sha256:72551f5c5d44f20ff83dc91d22c91c15962fc2b1bcc9d06e5f8285491ddb8cc5

Observation 665fd06d-fc5f-4d98-a263-86840253f1a0 · outbound

This paper cites Neural networks for machine learning - lecture 6a, 2012.

Refining Adaptive Zeroth-Order Optimization at Ease Neural networks for machine learning - lecture 6a, 2012

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.937785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.368200Z digest=sha256:92336c29ab92ed4490d1ba3c5b9c57776f508298db724ca48b31f0c33db59ba3

Observation 1afd5f44-5cdc-4369-a191-7962439d40bd · outbound

This paper cites M., and Koyejo, S.

Refining Adaptive Zeroth-Order Optimization at Ease M., and Koyejo, S

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.373604Z digest=sha256:6a9ba415b9b6f7b26dfb5d09b17b862f2319369962aeddc31a1e073d36d389a3

Observation 173b16fd-4fc0-484a-83b7-1a5d1846f208 · outbound

This paper cites Zo-adamu optimizer: Adapting perturbation by the momentum and uncertainty in zeroth-order optimization.

Refining Adaptive Zeroth-Order Optimization at Ease Zo-adamu optimizer: Adapting perturbation by the momentum and uncertainty in zeroth-order optimization

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.906465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.378492Z digest=sha256:0f720b943794595e2337d755040e1a296698f24857498538a29223de3ca08807

Observation bafe7a2f-1f50-40d9-8ac7-9bed4a60169c · outbound

This paper cites an unresolved cited work.

Refining Adaptive Zeroth-Order Optimization at Ease Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-09T17:00:29.891325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.383219Z digest=sha256:ba0c2906481455c946b47603cc94dbbc0fb95948925ce7815372d4c69424b022

Observation 4eb1379c-c817-4987-ac1d-3380f8dafba5 · outbound

This paper cites Gradient-based learning applied to document recognition.

Refining Adaptive Zeroth-Order Optimization at Ease Gradient-based learning applied to document recognition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.876162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.388132Z digest=sha256:6efe58e5bc310e9ded1e23961d08ef461956a185f50ee8b675eb24e997c06cfa

Observation 3cbc9c87-97b6-4fdf-adec-6ec1e218ec2e · outbound

This paper cites A comprehensive linear speedup analysis for asynchronous stochastic parallel optimization from zeroth-order to first-order.

Refining Adaptive Zeroth-Order Optimization at Ease A comprehensive linear speedup analysis for asynchronous stochastic parallel optimization from zeroth-order to first-order

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.860213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.392757Z digest=sha256:53bcf3e2662a46aee547981dfd9c188cddeee59690bc908358705a94f549d056

Observation 26ced2df-781e-4be4-9d81-d02fa7f8ba70 · outbound

This paper cites Zeroth-order stochastic variance reduction for nonconvex optimization.

Refining Adaptive Zeroth-Order Optimization at Ease Zeroth-order stochastic variance reduction for nonconvex optimization

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.844867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.397412Z digest=sha256:385bd4f048d0411daae7f9611da3639428c9a27969ce7fedbcfc9d61b85d55ad

Observation 29f767c0-f685-4da3-a43c-36835ccb8794 · outbound

This paper cites D., and Amini, L.

Refining Adaptive Zeroth-Order Optimization at Ease D., and Amini, L

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.825053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.402234Z digest=sha256:cef9548a81efc91b7c7a3d28f2c984eced5d736bc97e42e4cb1211c7eaa9fb01

Observation eb99cae0-d86b-4b96-9f8b-4022b6f20818 · outbound

This paper cites signsgd via zeroth-order oracle.

Refining Adaptive Zeroth-Order Optimization at Ease signsgd via zeroth-order oracle

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.406935Z digest=sha256:a2db02391f458caec5d4e5d1b4e49f53539574cbb47b9d4bac185cf54058f09f

Observation 17fc3b33-515f-4bfe-b409-25bb4d0fa5e1 · outbound

This paper cites An improved analysis of stochastic gradient descent with momentum.

Refining Adaptive Zeroth-Order Optimization at Ease An improved analysis of stochastic gradient descent with momentum

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.793517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.411614Z digest=sha256:8669cc3576474d9aca513e952419cad944dea46118f777dde28d99c92240b892

Observation 7f1e0dbd-69b0-4416-848e-678986579dbe · outbound

This paper cites D., Chen, D., and Arora, S.

Refining Adaptive Zeroth-Order Optimization at Ease D., Chen, D., and Arora, S

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.776287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.416549Z digest=sha256:695a9f827fc861b0f4e3214b47d30208ad80833c6a34d69cc65d55e3ba63cfe4

Observation c07a6bbc-a637-4fc3-9b14-fcf3e2ab9889 · outbound

This paper cites Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems.

Refining Adaptive Zeroth-Order Optimization at Ease Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T17:00:29.421440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:00:29.421440Z digest=sha256:f7d01b0c8b7b13d6af00efa65398d3cc06b3852c857024cd463a8306cd11a537

Observation 6194ed4e-9155-4c71-9ab6-f479e98c4390 · outbound

This paper cites an unresolved cited work.

Refining Adaptive Zeroth-Order Optimization at Ease Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-09T17:00:29.760026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.427222Z digest=sha256:a0fa8bd855691eff0bd1b6c49e60514925d00785301deea3d5e179641c91b999

Observation 16fc0449-00a1-4f20-be99-e5b7036abbe0 · outbound

This paper cites A., and Gordon, A.

Refining Adaptive Zeroth-Order Optimization at Ease A., and Gordon, A

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.742330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.432293Z digest=sha256:a2712f5fb06dacf82ccd47e2b47734ef5657008b10e54346b853ada28389dbd0

Observation d8e5ddc8-396f-4ccf-9931-50a9f4d12b30 · outbound

This paper cites D., Blaas, A., and Gal, Y.

Refining Adaptive Zeroth-Order Optimization at Ease D., Blaas, A., and Gal, Y

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.725776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.437736Z digest=sha256:311798724b0d266b81b19bcd2cfb38eb0282c103411c2de3c65d933ac0139d1f

Observation f1de0993-4eb2-4494-95ba-60a5da89ed14 · outbound

This paper cites an unresolved cited work.

Refining Adaptive Zeroth-Order Optimization at Ease Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-09T17:00:29.707751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.442644Z digest=sha256:87f1c1229f5e905b7d95704134d85c3cb0a8d06494901af627ca86d5b3395820

Observation 6a4df85e-240b-41a3-9622-f86e859678e8 · outbound

This paper cites an unresolved cited work.

Refining Adaptive Zeroth-Order Optimization at Ease Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-09T17:00:29.687203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.447755Z digest=sha256:f9a94e2fe485dde750f95f4e3b62470b74a42f24883457417ee30ec619761fc6

Observation eeab547d-0dda-4349-9047-c40d5b32ca8f · outbound

This paper cites D., Ng, A.

Refining Adaptive Zeroth-Order Optimization at Ease D., Ng, A

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.670515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.452813Z digest=sha256:6338d3417f434e8820b8c46645b0eeed616b455aad92e5c8b06bf43496d96155

Observation bf5e238e-2432-4369-82a5-fb1aa654397d · outbound

This paper cites Closing the gap between the upper bound and lower bound of adam's iteration complexity.

Refining Adaptive Zeroth-Order Optimization at Ease Closing the gap between the upper bound and lower bound of adam's iteration complexity

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.651910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.457568Z digest=sha256:a6a3bc31373606409b2d5f932a5e81acbf628ad33c3f6e0ec85aca09f948e0d8

Observation 9a9ff6b4-2b7a-4a7f-a4cc-f5ad30cacca9 · outbound

This paper cites Relizo: Sample reusable linear interpolation-based zeroth-order optimization.

Refining Adaptive Zeroth-Order Optimization at Ease Relizo: Sample reusable linear interpolation-based zeroth-order optimization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.633152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.462454Z digest=sha256:2ea87dbdfc43d8776aef3c9f4f366a1de2a092ec76b36bc0d573a9258a372ae0

Observation 537537c3-3ada-4c6c-99bd-86d2ec285909 · outbound

This paper cites Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance.

Refining Adaptive Zeroth-Order Optimization at Ease Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-09T17:00:29.467654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:00:29.467654Z digest=sha256:4227318025da4e9d5a013a84dd57ae18f9916f4ef93355dccc0382d2eda2ccd3

Observation b231feec-ecd8-4d0b-9d79-dc166ea8742c · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Refining Adaptive Zeroth-Order Optimization at Ease OPT: Open Pre-trained Transformer Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T17:00:29.472971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:00:29.472971Z digest=sha256:b1a50111d0539c61ec114ba41191aff2767afff2937513393d7ca1f4488fc9ee

Observation 0d38ff84-3811-4f32-a126-2f5a117a5a4d · outbound

This paper cites D., Yin, W., Hong, M., Wang, Z., Liu, S., and Chen, T.

Refining Adaptive Zeroth-Order Optimization at Ease D., Yin, W., Hong, M., Wang, Z., Liu, S., and Chen, T

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:29.614910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.478403Z digest=sha256:2521daf3dc38603f80171f64328b629b48734f128d5e32df62b1b62e6dadbba0

Observation ccdec6c6-d0e9-4818-9012-7a74b4bcf480 · outbound

This paper cites write newline.

Refining Adaptive Zeroth-Order Optimization at Ease write newline

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T17:00:29.483520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:00:29.483520Z digest=sha256:c18f4da09666eaa1e1b234773b64e115da00ded916f78a5ea6211801ee964840

Pith citing papers

Observation c65c9fe0-cb47-49e7-8a96-d778bdb0d10e · inbound

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning cites this paper.

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning Refining Adaptive Zeroth-Order Optimization at Ease

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:46:16.977775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T10:44:53.516653Z digest=sha256:f7907a27cb41742b45e4e95bd93d59fe847540e6e1e53e5940a6ab40f66625ab

Observation 23021111-53cb-49c5-902d-c30b7e950184 · inbound

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration cites this paper.

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration Refining Adaptive Zeroth-Order Optimization at Ease

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:21:16.962261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T02:18:17.478817Z digest=sha256:6f595b03581f31ed65d6dba573f8b17afc676ae22be14853819651bd19269994

Observation 797ddb56-6f2b-4323-b66e-4b5416b35c05 · inbound

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration cites this paper.

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration Refining Adaptive Zeroth-Order Optimization at Ease

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:33:09.434746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T17:33:00.747846Z digest=sha256:48ea6761439bb1ac8c23b457800114056c06ba6f5194662e1f203c387f9b51f3