Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T09:37:11.113232Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.20739.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T09:37:11.113232Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 789a2e5a-5f31-4c94-bf79-ccc62afeebda · outbound
Pipelined Gradient Coding Large scale distributed deep networks,
Reference 1
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Observation 7c69e8ca-5e2b-4eee-b3b7-0c9fa2195ab2 · outbound
Pipelined Gradient Coding Optimal Dis- tributed Online Prediction Using Mini-Batches,
Reference 2
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Observation 266c5acf-c6fb-4938-a15e-f1ec12bed5cc · outbound
Pipelined Gradient Coding Parallelized stochastic gradient descent,
Reference 3
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Observation afb93824-9d15-4114-bd88-2ba0ff3feee5 · outbound
Pipelined Gradient Coding Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication,
Reference 4
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Observation 76c5dfe8-1531-437b-87de-c7bec923add8 · outbound
Pipelined Gradient Coding Speeding Up Distributed Machine Learning Using Codes,
Reference 5
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Observation fa51f890-2199-4572-bf28-c9144f1c22a0 · outbound
Pipelined Gradient Coding Gradient Coding: Avoiding Stragglers in Distributed Learning,
Reference 6
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Observation aa377d0c-cdbf-4447-b97b-f6009b1ab013 · outbound
Pipelined Gradient Coding MapReduce: Simplified Data Processing on Large Clusters,
Reference 7
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Observation fba3dbbb-c348-420a-9a38-1a62f5a1aff2 · outbound
Pipelined Gradient Coding The Tail at Scale,
Reference 8
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Observation 9b25477d-8ef4-49ba-bc8d-c695f9919329 · outbound
Pipelined Gradient Coding Communication effi- cient distributed machine learning with the parameter server,
Reference 9
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Observation 1f7ac39b-091c-4dd6-9ca8-4fbd07adb3e6 · outbound
Pipelined Gradient Coding Straggler-aware Distributed Learningw Communication–computation Latency Trade-off,
Reference 10
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Observation 07575502-f582-4607-93ab-105a83df1015 · outbound
Pipelined Gradient Coding Speeding Up Coded Distributed Machine Learning,
Reference 11
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Observation 5f22d12f-c8a4-4dd6-9870-3f4a2d3bc2b0 · outbound
Pipelined Gradient Coding Using straggler replication to reduce latency in large-scale parallel computing,
Reference 12
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Observation c281800d-3328-4e60-bdc1-1f7e145dcc85 · outbound
Pipelined Gradient Coding Efficient Straggler Replication in Large-scale Parallel Computing,
Reference 13
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Observation a1995d9f-9f73-4e05-9da9-05b1e53edd91 · outbound
Pipelined Gradient Coding Using Straggler Replication to Reduce Latency in Large-scale Parallel Computing,
Reference 14
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Unavailable: canonical work link unavailable.
Observation dd81bd72-2dff-470a-913a-9237f716016c · outbound
Pipelined Gradient Coding Improving speedup and response times by replicating parallel programs on a snow,
Reference 15
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Unavailable: canonical work link unavailable.
Observation 10de8625-48af-4867-b134-d9f70d020bf8 · outbound
Pipelined Gradient Coding Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding,
Reference 16
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Observation 0e4ead9b-c1ed-416f-80b9-9dbc6a7992eb · outbound
Pipelined Gradient Coding ‘Short-Dot’: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products,
Reference 17
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Unavailable: canonical work link unavailable.
Observation 1755ec24-f737-469a-b43f-dfe04eda4537 · outbound
Pipelined Gradient Coding Dual Entangled Polynomial Code: Three- Dimensional Coding for Distributed Matrix Multiplication,
Reference 18
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Unavailable: canonical work link unavailable.
Observation 361fae3d-cf5d-42d0-84cd-a6d346b87655 · outbound
Pipelined Gradient Coding Local re-encoding for coded matrix multiplication,
Reference 19
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Observation e139e1c1-c689-49cc-a7ff-13e081d12059 · outbound
Pipelined Gradient Coding Anytime coding for distributed com- putation,
Reference 20
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Unavailable: canonical work link unavailable.
Observation eba25645-6f51-4e28-8651-57664b721827 · outbound
Pipelined Gradient Coding Coded distributed computing for inverse problems,
Reference 21
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Unavailable: canonical work link unavailable.
Observation e2394a91-9a85-4b0a-b6fb-f03aa3812183 · outbound
Pipelined Gradient Coding Coded Distributed Computing with Partial Recovery,
Reference 22
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Unavailable: canonical work link unavailable.
Observation 6612b482-b943-4bd6-93ec-ed5350f87b1c · outbound
Pipelined Gradient Coding Rateless codes for near-perfect load balancing in distributed matrix-vector multiplication,
Reference 23
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Unavailable: canonical work link unavailable.
Observation d78d3705-b0a2-4bb5-b395-76bdaac6cc36 · outbound
Pipelined Gradient Coding Improving Dis- tributed Gradient Descent Using Reed-Solomon Codes,
Reference 24
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Unavailable: canonical work link unavailable.
Observation 5835bc45-8037-4079-97d1-96ffb8b83507 · outbound
Pipelined Gradient Coding Communication-computation Efficient Gradient Coding,
Reference 25
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Unavailable: canonical work link unavailable.
Observation e10b2ea6-7a86-4c27-a2d4-9fc8f7195af4 · outbound
Pipelined Gradient Coding Speeding up distributed gradient descent by utilizing non-persistent stragglers,
Reference 26
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Unavailable: canonical work link unavailable.
Observation aa8679eb-ef74-436b-8932-76a9eb8ff7b5 · outbound
Pipelined Gradient Coding Distributed Gradient Descent with Coded Partial Gradient Computations,
Reference 27
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Unavailable: canonical work link unavailable.
Observation 1421c9db-ee56-4916-9d9a-0f2797d221aa · outbound
Pipelined Gradient Coding Heterogeneity-aware Gradient Coding for Tolerating and Leveraging Stragglers,
Reference 28
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Observation e0ffbc9c-2d99-4fab-bc36-1aacc61b86a7 · outbound
Pipelined Gradient Coding Sequential Gradient Coding For Straggler Mitigation
Reference 29
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Observation b510b9be-5f05-4cfb-9d5b-a903e5ae98cb · outbound
Pipelined Gradient Coding Distributed gradient descent with coded partial gradient computations,
Reference 30
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Unavailable: canonical work link unavailable.
Observation f7941b2e-026a-446e-b9c4-f9178039998c · outbound
Pipelined Gradient Coding Slow and stale gradients can win the race: Error-runtime trade-offs in distributed sgd,
Reference 31
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Unavailable: canonical work link unavailable.
Observation 1ddcfcf9-b588-4b3e-b7db-7ec1a14125a6 · outbound
Pipelined Gradient Coding Adaptive distributed stochastic gradient descent for minimizing delay in the presence of stragglers,
Reference 32
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Unavailable: canonical work link unavailable.
Observation cd2a10c3-8e39-400d-abc4-6f5745ca1fc3 · outbound
Pipelined Gradient Coding Revisiting Distributed Synchronous SGD
Reference 33
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Observation 885cba16-59c9-404d-877b-4367fca44382 · outbound
Pipelined Gradient Coding Fundamental Limits of Approximate Gradient Coding,
Reference 34
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Observation f784ff92-dedc-45e6-bc04-cab8b828f319 · outbound
Pipelined Gradient Coding Approximate Gradient Coding via Sparse Random Graphs
Reference 35
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Observation be85424f-a0d9-4f62-9867-5fff9907310b · outbound
Pipelined Gradient Coding ErasureHead: Distributed Gradient Descent without Delays Using Approximate Gradient Coding
Reference 36
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Unavailable: canonical work link unavailable.
Observation 29dc0027-ab5a-4622-b9fb-7d39f90f2fd9 · outbound
Pipelined Gradient Coding Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning,
Reference 37
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Unavailable: canonical work link unavailable.
Observation 4cb7b0e4-b77c-472d-a476-f0cf60b9616b · outbound
Pipelined Gradient Coding Gradient Coding from Cyclic MDS Codes and Expander Graphs,
Reference 38
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Observation 6fcca797-9c28-4741-8500-30e2c779076b · outbound
Pipelined Gradient Coding On Arbitrary Ignorance of Stragglers with Gradient Coding,
Reference 39
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Observation 9cc43251-fafe-40d0-9df9-e623aa11934a · outbound
Pipelined Gradient Coding Deep residual learning for image recognition,
Reference 40
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Observation 593c19d1-ffb7-48a7-b014-695fde48d90a · outbound
Pipelined Gradient Coding Learning multiple layers of features from tiny images,
Reference 41
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Observation 0d9c7a3f-03b3-4e27-9c2f-1fcb81d34137 · outbound
Pipelined Gradient Coding Anyscale - Ray Distributed Computing - Anyscale
Reference 42
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Observation a546f408-ecaa-433d-acae-7c80a7c07bc8 · outbound
Pipelined Gradient Coding A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
Reference 43
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Observation d0116138-592d-4f51-91c7-e63cb0aee47c · outbound
Pipelined Gradient Coding Unresolved cited work
Reference 44
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No inbound Pith citation observations are available.