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Paper Citation Record · LEDGER

Enhancing Parallelism in Decentralized Stochastic Convex Optimization

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.00961.

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

pith.paper-citation-record.v1
2506.00961 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:48.451980Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79a676cc-b8d0-4fb4-b144-c2e1e3b87877 · outbound

This paper cites write newline.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization write newline

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 2125905b-e13b-49cc-94ab-a9f3cc20d6fa · outbound

This paper cites L., Ravikumar, P., and Wainwright, M.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization L., Ravikumar, P., and Wainwright, M

Reference 2

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Observation 59380fa1-f985-4cbe-88a7-6c1bc2fa1c45 · outbound

This paper cites Q., Cevher, V., Levy, K., and Mertikopoulos, P.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Q., Cevher, V., Levy, K., and Mertikopoulos, P

Reference 3

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Observation f0aaccaf-f6d1-4bfd-96d2-9723e40b3ecb · outbound

This paper cites Stochastic gradient push for distributed deep learning.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Stochastic gradient push for distributed deep learning

Reference 4

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Source-reported events for the cited work

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Observation d2f156c0-e2b0-4a83-af08-71e0d2f1f62f · outbound

This paper cites Z., Hakimi, I., Schuster, A., and Levy, K.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Z., Hakimi, I., Schuster, A., and Levy, K

Reference 5

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 08da5663-4b59-42f2-b821-360a98ec7d31 · outbound

This paper cites Randomized gossip algorithms.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Randomized gossip algorithms

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f9fd2bfc-e29a-4bb8-a642-50cc63ebb651 · outbound

This paper cites Anytime online-to-batch, optimism and acceleration.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Anytime online-to-batch, optimism and acceleration

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e9afcde2-4cfb-4930-937f-cf74bcf7cfa9 · outbound

This paper cites and Levy, K.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Levy, K

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f39cf1c4-ffcf-4185-a5cf-f8b290b91ed8 · outbound

This paper cites and Levy, K.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Levy, K

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f23dde62-94a7-403d-aafc-c67194dfa73a · outbound

This paper cites Optimal distributed online prediction using mini-batches.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Optimal distributed online prediction using mini-batches

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bd45093c-4011-4e6f-990b-1b17af511622 · outbound

This paper cites and Scutari, G.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Scutari, G

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5f5015ae-c880-4296-adce-f0fe0b097d12 · outbound

This paper cites L., and Vladu, A.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization L., and Vladu, A

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8439c9f1-d2c1-4acb-b963-ac3ad8741e41 · outbound

This paper cites Byzantine-Robust Decentralized Learning via ClippedGossip.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Byzantine-Robust Decentralized Learning via ClippedGossip

Reference 13

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Unavailable: canonical work link unavailable.

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Observation 9060c504-130d-499e-88ac-af83803ef361 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 14

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no resolver link, observed 2026-08-07T12:06:45.708798Z

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Observation 3a078eec-7a3f-4232-8de6-8b4aa95659d4 · outbound

This paper cites B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 650737b1-adef-4e24-b312-909380bb116c · outbound

This paper cites Y., Bach, F., and Cevher, V.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Y., Bach, F., and Cevher, V

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:06:45.879196Z digest=sha256:385ecdc55de65291c2e59ecdd569db4c34dd367b4fe2da4f9932db91cda833c8

Observation c127877a-b40a-4559-a12f-6bc3e13754bc · outbound

This paper cites Gossip-based computation of aggregate information.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Gossip-based computation of aggregate information

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 6c4bfbc3-cfbb-470e-9bc3-a7153ac137db · outbound

This paper cites Decentralized stochastic optimization and gossip algorithms with compressed communication.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Decentralized stochastic optimization and gossip algorithms with compressed communication

Reference 18

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation acf3696b-883a-41c1-b71f-af8ebe317b79 · outbound

This paper cites A unified theory of decentralized sgd with changing topology and local updates.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization A unified theory of decentralized sgd with changing topology and local updates

Reference 19

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Observation 6a1f6495-8fe9-45dc-b6c4-df4ba85a1750 · outbound

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7bdfc096-2a62-4c85-a2a7-9d3f43c96cec · outbound

This paper cites Consensus control for decentralized deep learning.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Consensus control for decentralized deep learning

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 953d248d-9b2f-4269-8cf3-e3f5e7239dfe · outbound

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

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Gradient-based learning applied to document recognition

Reference 22

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Observation fb3aa876-30b6-4cd5-896d-bb3fb37c5b74 · outbound

This paper cites G., Smola, A.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization G., Smola, A

Reference 23

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0375a01c-9dbe-4495-a0a2-ab3b191fbf99 · outbound

This paper cites Learning to collaborate in decentralized learning of personalized models.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Learning to collaborate in decentralized learning of personalized models

Reference 24

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 00e9ce7a-5ce6-48ba-9f3d-869d44f47aa4 · outbound

This paper cites Communication-Efficient Local Decentralized SGD Methods.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Communication-Efficient Local Decentralized SGD Methods

Reference 25

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source=arxiv_source observed=2026-08-07T12:06:46.602371Z digest=sha256:b1e540b0bf8b27f854346f4facced3f70cea19879530b96f43147aae2d7bd240

Observation 43a80630-5cca-47cb-a36f-91e20de154a9 · outbound

This paper cites Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent

Reference 26

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 43b30773-9b5f-4834-8897-7333f0ba46c9 · outbound

This paper cites and De Sa, C.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization and De Sa, C

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 271f884e-015c-4742-a5b5-4dcb0cd430fd · outbound

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization Unresolved cited work

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:06:46.911340Z digest=sha256:df43678db3294995fa94bd41cc832d75acacee46a654547c54cf0736aa9cf9ee

Observation d8cd55f3-8e88-4773-970e-c174e427c0fc · outbound

This paper cites and Ozdaglar, A.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Ozdaglar, A

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 98c8148e-c215-44a3-b55e-ac807cd6507b · outbound

This paper cites Achieving geometric convergence for distributed optimization over time-varying graphs.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Achieving geometric convergence for distributed optimization over time-varying graphs

Reference 30

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no resolver link, observed 2026-08-07T12:06:47.103365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:06:47.103365Z digest=sha256:b1204aee005e0f99c52c1be0c30df0348d648b7a18d6c15d107260c6d246190b

Observation da9603b4-27a9-48b7-9d66-4d0c12026217 · outbound

This paper cites Robust stochastic approximation approach to stochastic programming.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Robust stochastic approximation approach to stochastic programming

Reference 31

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3ca6da69-d696-4194-9206-13e93190c1a7 · outbound

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Enhancing Parallelism in Decentralized Stochastic Convex Optimization Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 77998fd5-dcc8-43f8-8e71-4648d62d2d6c · outbound

This paper cites and Nedi \'c , A.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Nedi \'c , A

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:06:47.357751Z digest=sha256:af21778979cd8a41500bec1bb2fc4a21bd5e8a8b6cba0ead5af14377f7b24fd1

Observation f571b6d0-9c63-41da-884d-912755fba317 · outbound

This paper cites an unresolved cited work.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:06:47.409784Z digest=sha256:24e14cc914758c1659ded29f579ac85f8aef6ff252df732e0ce429edfe233dd3

Observation d5c2441e-b41a-4f99-b2db-e44961299e69 · outbound

This paper cites On the linear convergence of the admm in decentralized consensus optimization.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization On the linear convergence of the admm in decentralized consensus optimization

Reference 35

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raw_fallback, observed 2026-08-07T12:06:49.907540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:06:47.538366Z digest=sha256:096d2d53a6055bddeb5a4e5407be588a4e04dd99ccd644bdae370ed319bb1727

Observation 4734c34c-f1c0-4157-899d-5a4989774a53 · outbound

This paper cites Beyond exponential graph: Communication-efficient topologies for decentralized learning via finite-time convergence.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Beyond exponential graph: Communication-efficient topologies for decentralized learning via finite-time convergence

Reference 36

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raw_fallback, observed 2026-08-07T12:06:49.718645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:06:47.636129Z digest=sha256:fce3be29fb1fdb9bcd362b41b6531ac4282352904522f8edce5de5511daf02f4

Observation 1a97ed16-d00f-48fe-80b9-fea149b60e3b · outbound

This paper cites Communication compression for decentralized training.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Communication compression for decentralized training

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:06:49.537611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:06:47.744656Z digest=sha256:f2c3484f93bdaf7cd209c9fc7a6ca5a96f9c29dace25d4e765270a79e549224b

Observation 2ebe44f1-bf8f-4fea-9286-9b534f06fd47 · outbound

This paper cites D^2 : Decentralized training over decentralized data.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization D^2 : Decentralized training over decentralized data

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:06:49.352639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:06:47.849469Z digest=sha256:8e4dd13c8530b630a87265e7b0dc69119ac8f7bfaa50bd2a9358e1a84a82aae7

Observation 29c750ec-6bc5-4353-b04a-6a4fcf1abbaa · outbound

This paper cites an unresolved cited work.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:06:49.182235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:06:47.976731Z digest=sha256:03aa21d329b03a0b67d0d5154ed61cf690372b5e4361827ccd8c061ecba3e869

Observation 982cf005-8f4a-48f7-b8fb-02e858277ee0 · outbound

This paper cites an unresolved cited work.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:06:48.970542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:06:48.061777Z digest=sha256:e7a90b3065e4d287b57dcaade79d72873a7958d157d4c15e73c4e34ddc06f9b5

Observation e78d1199-a663-40fd-8e1c-cd557f87b684 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:48.142565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:06:48.142565Z digest=sha256:e84036bb9988b1c4d8ac117862eec6afb2d95437c8659157cf045a9248a43851

Observation 95841ed1-f8e1-412a-9f63-d7b5f5f84e4d · outbound

This paper cites and Boyd, S.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization and Boyd, S

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:06:48.720532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:06:48.219392Z digest=sha256:9805dfe90b6d816ea39e02a709b0595b524a9c78e7104b9076771029ce0cf1d5

Observation 415ed5bf-2785-4e34-b2f5-7e22d1bee429 · outbound

This paper cites Exponential graph is provably efficient for decentralized deep training.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Exponential graph is provably efficient for decentralized deep training

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:48.345660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:06:48.345660Z digest=sha256:a4121db0e4d4a1499d987b8efba90232fd2a7f9983cc45aebde113d79b1c80a0

Observation 59c21379-de65-4677-a667-16164a5841b6 · outbound

This paper cites Decentlam: Decentralized momentum sgd for large-batch deep training.

Enhancing Parallelism in Decentralized Stochastic Convex Optimization Decentlam: Decentralized momentum sgd for large-batch deep training

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:48.451980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:06:48.451980Z digest=sha256:49eccd558cfcbefdb683ad0de11ac4d3eae032c8822e02710c83c46bc13cf5bf

Pith citing papers

No inbound Pith citation observations are available.