Pith. sign in

Paper Citation Record · LEDGER

Refining Adaptive Zeroth-Order Optimization at Ease

As of 11 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 2026-08-10T06:31:04.303077+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
  • metadata mismatch0

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
raw_fallback, observed 2026-08-09T17:00:30.052568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.318141Z digest=sha256:a384e7d1f6a22f2b5930290672c99efebf3449becb1128c1fe2942810ecb3c5d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.323850Z digest=sha256:2c6fca24e61eb510b935245ffadd7830375d98afc6aa2bd594d6dcef9cc2a9e5

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
raw_fallback, observed 2026-08-09T17:00:30.018807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.330368Z digest=sha256:4ca02f163dd8d77a8eecf694b582bf2bb8e0daf7519ace2382067cc9fd12d19a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.336081Z digest=sha256:d467ff4ebf55d70fc55be701e7663c82340a60e87cfd9b88ad31b9dacaefe88a

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
raw_fallback, observed 2026-08-09T17:00:29.984984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.344209Z digest=sha256:2a36ec71e92c82728bd33b1aef2fda0d88d1e9db0943d477b7833a9da757cacf

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=sha256:24dcc53152c619aafc3b4e3730241ff4723747f611ac3e2417cdcdc55c51b615

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
raw_fallback, observed 2026-08-09T17:00:29.969062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.357630Z digest=sha256:3bb51c08f7a676fe1e95dd248cb274901b769f66e6b0d3bb5ed267cca0a61b77

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
raw_fallback, observed 2026-08-09T17:00:29.953219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.363223Z digest=sha256:79da90eebfb26007fec2e17fb99046c8aa67151e7879041d9132e558715cf911

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.368200Z digest=sha256:c13a32aa43984f9be0d811b100db4c3c6241adbb828e85952a902f56743b7214

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
raw_fallback, observed 2026-08-09T17:00:29.921740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.373604Z digest=sha256:ec49eca024311f98624934e4a34eac94b0ee1c3b06d27b8d17af213bcfac6fbd

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.378492Z digest=sha256:f5c5d0e33faebbdced55dfa889e5022119cee6fb0cccce7dcfc1909dbdd3e26d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.383219Z digest=sha256:88324cf7509fbc9f76fa75553ae2eaeb6bbdb2ebed30989b9d37ca1299c96ff6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.388132Z digest=sha256:d265ebb8d9cb9ad3d2c486713faa5d321437969824fbcaf19e7180e91878f50c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.392757Z digest=sha256:e268ec0ae287940f26edaf518699f84e54b5cbe2044e678633db27397c37e8ce

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.397412Z digest=sha256:f6d7ad78d0e60f27032908f1d2acac1d8d167831132f132c515aaf4fc4a73b10

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.402234Z digest=sha256:d6752f8921c4c11676854e07a8cb18ed1529dc39a2a3c5d1e3f8c9624d8bd13a

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
raw_fallback, observed 2026-08-09T17:00:29.809294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.406935Z digest=sha256:2eac246dd6afb4beca29e4bffd6d04f4334c151607716bd47054eeb21cb85ff2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.411614Z digest=sha256:26048fd40799e5a2fc9e632026ec57aafcdf69b68d506b2287a6865bad078df4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.416549Z digest=sha256:7696050d0e43aa1a157293574266af2c6412a8b9b18bc04f067801024afb2daf

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=sha256:85837bd4774b5b09db2c8a734772564c81663f70c4024a7ef8fc2321b97ce2c1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.427222Z digest=sha256:dd853a4f6699e0fc3d8ce5814318bfb3e87d4dae40483b1831f5657dba4dd748

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.432293Z digest=sha256:9e4778f67d196f00bc65c7ec29027cb59e00567ab1300c2ff2077ddd35077c31

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.437736Z digest=sha256:8d05d327da261f6353368515fb8b89d4bcd570868c3a91776c44930849bf7fd3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.442644Z digest=sha256:50ee510bec4700fc4ee9d0dd99618ffd2ae1e68737a333bfbf9c3404da3db255

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.447755Z digest=sha256:3223bb14bc78cfaa1988a2f55b7f08d0f94d15c6311238dc122add3c0310052b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.452813Z digest=sha256:ed1d7dee229e60f3e86a5d1bc5599da6b84ee45986eca0e1fd35adb365d067d9

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.457568Z digest=sha256:bd7bb566f7243f86b563860611d2c1878f1ad66730a2b1ec5ec620f98a435393

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.462454Z digest=sha256:ef5a686e4c256f2daf64f8ec138b9bbb14785722daa2a722c87833e50dfdf7c5

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=sha256:75c479c90891b8608934f6a0996d314ee53daf4f85ed13da4503ba6cbb969ce6

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=sha256:9f92693ec293e86657c9c6473c420a2bd3e76d32aeb2fc9d0e440eabd3558a1f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T17:00:29.478403Z digest=sha256:deb78a02f8bf43e87fda3833cc343c6d0e5bc4dbdfff4727252fb079c36d7026

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=sha256:17c1fddef5c72461bd32bd9ca03ab8165c8d5d42c6637147403aa71266b0ab78

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T10:44:53.516653Z digest=sha256:223969ffa042acc277c5b17469cf88a0ff479a13cfdd9ea52fc6e635a98a127d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T02:18:17.478817Z digest=sha256:ea4282004e0e584f379b55b9ad94bd717612d8fbd345419eb93cb49262cfb13a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T17:33:00.747846Z digest=sha256:33491cab56d72c0c25dae27afb13232166e7e40c2a4f441f588fffaa2c74c1b1