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Paper Citation Record · LEDGER

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond

As of 16 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1908.02246.

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

pith.paper-citation-record.v1
1908.02246 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:56:40.950381Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved12
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34221368-0926-40a5-ab25-89b58bb9d35e · outbound

This paper cites Communication complexity of distributed convex learning and optimization.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Communication complexity of distributed convex learning and optimization

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.736604Z digest=sha256:0829c76ece0355cbc47aad316cd6dd08bd78d41444fbfdc31107d4f7bc669ddd

Observation 820c034f-5b2f-40e7-af32-6d12d578d5fc · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 2

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no resolver link, observed 2026-08-14T14:56:40.742452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:56:40.742452Z digest=sha256:67f52ffc34362e3812cceac2c45e6c3f57df869739dacca34f9fd9be3bcf7b2b

Observation 9ad03bcc-3478-408d-a835-7298502ba8d4 · outbound

This paper cites Mapreduce: Simplified data processing on large clusters.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Mapreduce: Simplified data processing on large clusters

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T14:56:40.747968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 17d672ad-82ed-4340-9a96-be510b8907f1 · outbound

This paper cites Global convergence of the heavy-ball method for convex optimization.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Global convergence of the heavy-ball method for convex optimization

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.753678Z digest=sha256:c1bf6a93ae3d6f2d9f068bb7ee0bfef69b16374389354ebd6ba3b3739dff4f7f

Observation 37155c8d-b0b0-45da-a07a-38dac8467972 · outbound

This paper cites Result analysis of the nips 2003 feature selection challenge.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Result analysis of the nips 2003 feature selection challenge

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.759249Z digest=sha256:3fb16123e5a66dc6ccd0a4a664d64da5588b7f4f7acaa692a358be5dea766848

Observation 86828a51-f01e-4e2b-b707-ff2d213d14bf · outbound

This paper cites Communication-efficient distributed dual coordinate ascent.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Communication-efficient distributed dual coordinate ascent

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.764500Z digest=sha256:90e354ddc805d9da87fdf04011cbd7f7a7f30f8049f4f0212bd68c4ac7d7805a

Observation 20b708a4-1b4a-4f90-be46-ddcc269595a4 · outbound

This paper cites Accelerating stochastic gradient descent using predictive variance reduction.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Accelerating stochastic gradient descent using predictive variance reduction

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.770877Z digest=sha256:c1e96319d7a25279d963c3df62d7430f2d9d1bd5fd86def4a32dc300258e0b88

Observation 91f316db-4419-473b-9539-a921cb63037b · outbound

This paper cites Communication-efficient distributed statistical inference.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Communication-efficient distributed statistical inference

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c6d9a847-75f4-451c-a779-bca60a5bba93 · outbound

This paper cites Sgdlibrary: A matlab library for stochastic optimization algorithms.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Sgdlibrary: A matlab library for stochastic optimization algorithms

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.619803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.781993Z digest=sha256:336cdaab2b814ca44d8c85d19bec350b9aec94951fa2e4438fb66effa1817486

Observation 1b9c17ae-9a8b-4c81-b969-75b7176bf620 · outbound

This paper cites Federated Optimization: Distributed Machine Learning for On-Device Intelligence.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 10

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no resolver link, observed 2026-08-14T14:56:40.786597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:56:40.786597Z digest=sha256:bf0828b6f86d7d266ec50974f9731c6acf28396792e6896c8672955de6a135da

Observation 525667de-d909-4a0f-b036-78e3d8851885 · outbound

This paper cites Distributed stochastic variance reduced gradient methods by sampling extra data with replacement.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Distributed stochastic variance reduced gradient methods by sampling extra data with replacement

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c9c1cf19-6352-4398-95c6-f4d88e7a8f6e · outbound

This paper cites Rcv1: A new benchmark collection for text categorization research.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Rcv1: A new benchmark collection for text categorization research

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.584477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 23637827-80ed-4bf6-9f2f-678f4f70dcd8 · outbound

This paper cites Communication efficient distributed machine learning with the parameter server.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Communication efficient distributed machine learning with the parameter server

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 79d7c40e-eba4-48bc-9374-6680445216e6 · outbound

This paper cites A universal catalyst for first-order optimization.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond A universal catalyst for first-order optimization

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 557d0506-312b-4c4e-b035-8757938a0e07 · outbound

This paper cites Distributed inexact newton-type pursuit for non-convex sparse learning.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Distributed inexact newton-type pursuit for non-convex sparse learning

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b834e0a7-195a-4cb3-8276-75841d77e58e · outbound

This paper cites Linearly convergent stochastic heavy ball method for minimizing generalization error.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Linearly convergent stochastic heavy ball method for minimizing generalization error

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c30cf909-9cb0-4992-a747-8278d928547c · outbound

This paper cites Adding vs.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Adding vs

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 2026-08-16T06:30:59.297886+00:00.

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Observation d8273a01-927e-4329-853a-2f6714be9772 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Communication-efficient learning of deep networks from decentralized data

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 79be947f-26fc-4a51-8f4c-ed0dc49bf430 · outbound

This paper cites The landscape of empirical risk for nonconvex losses.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond The landscape of empirical risk for nonconvex losses

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 94d28a71-67c0-4dc8-a904-5d9c21027f7b · outbound

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On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 72cc93b3-74d7-438a-ba4f-9eb814f43587 · outbound

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On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Unresolved cited work

Reference 21

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation accc3a1c-a265-470c-82a5-c27545d04b64 · outbound

This paper cites AIDE: Fast and Communication Efficient Distributed Optimization.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond AIDE: Fast and Communication Efficient Distributed Optimization

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:56:40.851676Z digest=sha256:118c302c1f7af2493480430f5ed292c3aae246514afe10905d51019a15568a7d

Observation 080689ef-1c07-4485-a0cd-37a6519a075e · outbound

This paper cites Distributed coordinate descent method for learning with big data.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Distributed coordinate descent method for learning with big data

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.857479Z digest=sha256:80a0c97af585d03ffeca04f1b81587d8116fedb7630e9d8572844113a43f1a04

Observation bfc840fc-9b4d-46da-a3a1-00a1f0edef72 · outbound

This paper cites Stochastic convex optimization.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Stochastic convex optimization

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f579386e-fc33-4592-9c09-43dc41713f0b · outbound

This paper cites Without-replacement sampling for stochastic gradient methods.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Without-replacement sampling for stochastic gradient methods

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.404547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 328426e1-6049-46bc-8cdc-3ee574490f72 · outbound

This paper cites Communication-efficient distributed optimization using an approximate newton-type method.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Communication-efficient distributed optimization using an approximate newton-type method

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.387112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cb838575-e59d-4cd4-b542-45032841675b · outbound

This paper cites Cocoa: A general framework for communication-efficient distributed optimization.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Cocoa: A general framework for communication-efficient distributed optimization

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.370702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 804dfa41-00cd-4a1c-88fd-ab9c94e9e1c4 · outbound

This paper cites User-friendly tail bounds for sums of random matrices.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond User-friendly tail bounds for sums of random matrices

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.354028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.883588Z digest=sha256:8a2dbe008567fb8a3cf6511194fa11b34ce87ab1bd2c456579937ba8415535e4

Observation 87ec6056-e06c-4308-aeb4-87d7801391f4 · outbound

This paper cites Efficient distributed learning with sparsity.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Efficient distributed learning with sparsity

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.888500Z digest=sha256:77489543fa75cc20ee903dcb15701431ffe558e262c77cdd099d8c3f89abcb86

Observation 814ed942-a53b-4851-8185-fc1195943a67 · outbound

This paper cites Memory and communication efficient distributed stochastic optimization with minibatch prox.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Memory and communication efficient distributed stochastic optimization with minibatch prox

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.320364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.893647Z digest=sha256:90e1df3846471af782c4435bff40e76039001de7cc44ba1b652098e605de3403

Observation b619de29-a297-4aa8-83b1-e2b20e7a75c7 · outbound

This paper cites Giant: Globally improved approximate newton method for distributed optimization.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Giant: Globally improved approximate newton method for distributed optimization

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.301278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.899261Z digest=sha256:39cea2b6bc7cc7012b8f5d27c130ec66e0e0f4696ac35034ebdc1fa72552b9d4

Observation 560d739a-b774-4179-bb89-2bc9020c6470 · outbound

This paper cites A Lyapunov Analysis of Momentum Methods in Optimization.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond A Lyapunov Analysis of Momentum Methods in Optimization

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-14T14:56:40.904449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:56:40.904449Z digest=sha256:ec71f781233d0ec73ef86fbd400acfbbb0e0f4391a79810ca90f032d4197d655

Observation 79abbc39-2f3f-4f4f-a8e3-34c3f0889fec · outbound

This paper cites Dscovr: Randomized primal-dual block coordinate algorithms for asynchronous distributed optimization.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Dscovr: Randomized primal-dual block coordinate algorithms for asynchronous distributed optimization

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.283099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.910108Z digest=sha256:ec2f31709949b49412645c6a9ff34dd26d4c9015587fd0bf7435b6dbbbacd5cf

Observation 2ba41acd-aa31-4a0a-9e90-c694d0620d56 · outbound

This paper cites Petuum: A new platform for distributed machine learning on big data.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Petuum: A new platform for distributed machine learning on big data

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.268019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.915757Z digest=sha256:3c5a1950a5fc5bb07f30e3dadb24edc6228ce7c67e7d5537c28f4e0a2e96603d

Observation 791bee6e-58eb-451a-a802-194ca91d52c9 · outbound

This paper cites Xin, Patrick Wendell, Tathagata Das, Michael Armbrust, Ankur Dave, Xiangrui Meng, Josh Rosen, Shivaram Venkataraman, Michael J.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Xin, Patrick Wendell, Tathagata Das, Michael Armbrust, Ankur Dave, Xiangrui Meng, Josh Rosen, Shivaram Venkataraman, Michael J

Reference 35

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no resolver link, observed 2026-08-14T14:56:40.920748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:56:40.920748Z digest=sha256:d8cad665772bd5678e9afc48ebe74dd1554dcec21d9f0c64c254ab1d54000650

Observation 5f537dea-05a9-4229-aaad-cf51ac0958b2 · outbound

This paper cites Di SCO : Distributed optimization for self-concordant empirical loss.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Di SCO : Distributed optimization for self-concordant empirical loss

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.251531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.926185Z digest=sha256:5beef99959fe223b640966cfa2b58f2b7ba651ef91c9ff9459e93e90835661d4

Observation 05fbca17-86a4-431c-8ce4-ad743b8a2d3c · outbound

This paper cites Stochastic primal-dual coordinate method for regularized empirical risk minimization.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Stochastic primal-dual coordinate method for regularized empirical risk minimization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.234159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.931201Z digest=sha256:ced3e1829c667543da0d1e8f3ea69f630ccd12741e0f80ac9f1f51a01227cda7

Observation 70759b98-91a9-4347-8524-e71af9cee26a · outbound

This paper cites Efficient stochastic gradient hard thresholding.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Efficient stochastic gradient hard thresholding

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:56:41.216550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T14:56:40.936065Z digest=sha256:8ce9e482a175cf81b91fc7710363d012970987b008f1a06297aa60661ab820be

Observation d73d5625-577a-4409-9cd0-f30822f6b67e · outbound

This paper cites @esa (Ref.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond @esa (Ref

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T14:56:40.940747Z

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source=arxiv_source observed=2026-08-14T14:56:40.940747Z digest=sha256:132e58264d911ae0509e86b45997ffb839f1f8ab937593d2560ae6fc7d288a9f

Observation dc33b6d5-07a9-4509-8aaa-aa891b92289b · outbound

This paper cites an unresolved cited work.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-14T14:56:40.945800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:56:40.945800Z digest=sha256:faaef44dcc7cd2a8610e1faa68327590df8935dd103d737039d497d5cb61b47a

Observation 2464968b-ac44-464a-a730-145e91049784 · outbound

This paper cites an unresolved cited work.

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T14:56:40.950381Z

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source=arxiv_source observed=2026-08-14T14:56:40.950381Z digest=sha256:024c94623a0c06fc8c6e8be20881e9fc9ebc99c22bcd1fc6c2a3f0184474f8c2

Pith citing papers

No inbound Pith citation observations are available.