Paper Citation Record · LEDGER

Scaling Distributed Machine Learning with In-Network Aggregation

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1903.06701.

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

pith.paper-citation-record.v1
1903.06701 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:40:27.149553Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:57:20.217898Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 32272d98-6537-4e78-86aa-52fd0da3df92 · inbound

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

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits Scaling Distributed Machine Learning with In-Network Aggregation

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:05:54.886223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0776344e-4557-44ba-90d1-fee92dd003aa · inbound

Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction cites this paper.

Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction Scaling Distributed Machine Learning with In-Network Aggregation

Reference 167

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:51:32.098207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e31f857b-3905-4663-bdef-da4ba15af720 · inbound

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method cites this paper.

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method Scaling Distributed Machine Learning with In-Network Aggregation

Reference 169

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:13:18.622438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be225d8d-3b6b-4c05-91cf-9a2c8251fbb7 · inbound

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging cites this paper.

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging Scaling Distributed Machine Learning with In-Network Aggregation

Reference 171

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:49:40.723598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 638ec465-4493-41bc-9502-3d75a2bbd3f5 · inbound

PCCL: Process Group-Aware Scalable and Generic Collective Algorithm Synthesizer cites this paper.

PCCL: Process Group-Aware Scalable and Generic Collective Algorithm Synthesizer Scaling Distributed Machine Learning with In-Network Aggregation

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:57:20.219709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0cb8ac89-91e4-4f34-818f-474059088715 · inbound

In-Network Market Prediction Using Machine Learning and Limit Order Books cites this paper.

In-Network Market Prediction Using Machine Learning and Limit Order Books Scaling Distributed Machine Learning with In-Network Aggregation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T07:40:27.149553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.