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Paper Citation Record · LEDGER

Revisiting Distributed Synchronous SGD

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1604.00981.

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

pith.paper-citation-record.v1
1604.00981 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:56:33.519522Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T13:58:21.752441Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9ab9b8b7-207e-4323-86b6-4262c70ed4cf · inbound

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour cites this paper.

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Revisiting Distributed Synchronous SGD

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:20:31.294403Z

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=2026-05-12T07:20:31.243027Z digest=sha256:02317363cd2f32dc08b9cc8ecc60f2c19bbc2e99f4f46bdc799dc7d52736f793

Observation 980965e1-7a89-432d-b882-768f66e5c774 · inbound

A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition cites this paper.

A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition Revisiting Distributed Synchronous SGD

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-24T23:20:03.363215Z

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=2026-05-24T23:18:20.089528Z digest=sha256:95f38f7c75efaa9580876fe9eb56887832fce91d401372c47317daba4af52311

Observation a85c3e2e-a8c8-4351-9ebe-c0b9d4be421f · inbound

The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging cites this paper.

The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging Revisiting Distributed Synchronous SGD

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-05-24T16:36:15.674717Z

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=2026-05-24T16:35:57.238348Z digest=sha256:68eff7498530bdeab7bc921788c992d2d581563278ccf0af05951fcf2c59057e

Observation 2e0f512b-3d7d-439c-b81f-e573215d0347 · inbound

ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning cites this paper.

ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning Revisiting Distributed Synchronous SGD

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T17:56:33.519522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:56:33.519522Z digest=sha256:16f7597369536bba362b3a8c47a0dfc172e4d69996f14d6274121aedc93e6f8d

Observation 24cf41cc-0809-43f3-bc33-b89ec45db355 · inbound

FedRef: Bayesian Fine-Tuning using a Reference Model to Mitigate Catastrophic Forgetting for Heterogeneous Federated Learning cites this paper.

FedRef: Bayesian Fine-Tuning using a Reference Model to Mitigate Catastrophic Forgetting for Heterogeneous Federated Learning Revisiting Distributed Synchronous SGD

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:02:10.208527Z

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=2026-05-19T08:01:36.335624Z digest=sha256:ff3a500c3dcab7b35f72afd7b96b6602a5821c30d1cfde347243890a33be575d

Observation f0416c19-5985-4035-a7cf-6d388a394fd6 · inbound

PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction cites this paper.

PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction Revisiting Distributed Synchronous SGD

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:04.128403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:27:04.128403Z digest=sha256:e49b8b09147b9038383268fd47338c3fcf80066a234882dbb8b55ca5cda0ede9

Observation 334d32d9-8901-44ac-967a-5e338c80dbe9 · inbound

Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity cites this paper.

Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity Revisiting Distributed Synchronous SGD

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T15:37:01.067056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:37:01.067056Z digest=sha256:e35ab8aba85c9cc54989eb7c0df850003671f9eacc3bca96b41a286337eda382

Observation 9fef5c0c-eba1-4595-9961-4cedab12586c · inbound

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits cites this paper.

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits Revisiting Distributed Synchronous SGD

Reference 128

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:05:54.670495Z

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=2026-05-11T02:52:53.588595Z digest=sha256:9a4c67c0f826ed718fc66e97946db9f81db0b49caa8e890fb789ae35da722ae6

Observation e8051056-80f7-45b7-a931-8d0882a709cf · inbound

Clipping Makes Distributed and Federated Asynchronous SGD Robust to Stragglers cites this paper.

Clipping Makes Distributed and Federated Asynchronous SGD Robust to Stragglers Revisiting Distributed Synchronous SGD

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-07-03T13:58:21.754374Z

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=2026-06-27T07:23:36.879751Z digest=sha256:ed23c0bd1ee82248b85a3e53a9b28b457dd543512a6c2b37ed8e5b3370a6b6a5

Observation cd2a10c3-8e39-400d-abc4-6f5745ca1fc3 · inbound

Pipelined Gradient Coding cites this paper.

Pipelined Gradient Coding Revisiting Distributed Synchronous SGD

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T09:37:09.870651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:37:09.870651Z digest=sha256:bd7dfcb78189f6c463b1523838ad07d6012e3c8158f9e5a22ab9f678891b95b1