Paper Citation Record · LEDGER

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm

As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.17974.

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

pith.paper-citation-record.v1
2506.17974 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:00.066921Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

20 of 20 outbound references displayed

verified exact2
verified fuzzy14
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30baebc3-3e9e-4c9c-9b92-aab802499bc9 · outbound

This paper cites Sparse communication for distributed gradient descent.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Sparse communication for distributed gradient descent

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:03.736229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 80862cda-08e6-4e4e-8629-edac2f0b73aa · outbound

This paper cites Qsgd: Communication-efficient sgd via gradient quantization and encoding.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Qsgd: Communication-efficient sgd via gradient quantization and encoding

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:03.547166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3be4623d-031e-45df-9a40-4d0b7de5dc89 · outbound

This paper cites Demystifying the communication characteristics for distributed transformer models.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Demystifying the communication characteristics for distributed transformer models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:03.348730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36d43c78-6b4c-496e-8e1c-f7d1b924e17e · outbound

This paper cites Communication-efficient distributed learning: A comprehensive survey.IEEE Transactions on Parallel and Distributed Systems, 2023.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Communication-efficient distributed learning: A comprehensive survey.IEEE Transactions on Parallel and Distributed Systems, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:03.157053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af32b8d8-d22d-4c03-8ccb-444943ff674f · outbound

This paper cites Inverting gradients-how easy is it to break privacy in federated learning?Advances in neural information processing systems, 33:16937–16947, 2020.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Inverting gradients-how easy is it to break privacy in federated learning?Advances in neural information processing systems, 33:16937–16947, 2020

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:02.860622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7a09ee8-14a3-44dd-8478-d816926349ee · outbound

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

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:59.225453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53e0a37f-7c1a-4578-a5a8-7632281e3d19 · outbound

This paper cites Deep residual learning for image recognition.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Deep residual learning for image recognition

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:02.641243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 475df728-d13a-411d-9aeb-ac152c95e0ae · outbound

This paper cites Models of Heavy-Tailed Mechanistic Universality.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Models of Heavy-Tailed Mechanistic Universality

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:59.310642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7830f693-52e6-4841-b429-c86ffd5f8a98 · outbound

This paper cites Error feedback fixes signsgd and other gradient compression schemes.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Error feedback fixes signsgd and other gradient compression schemes

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:02.436266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8da7032-3460-4a86-8a98-c782cfb6440f · outbound

This paper cites Trustworthiness of Stochastic Gradient Descent in Distributed Learning.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Trustworthiness of Stochastic Gradient Descent in Distributed Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:28:00.386232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ff7ca46b-691c-4f8f-9880-2437bbe9e93f · outbound

This paper cites Lightweight Trustworthy Distributed Clustering.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Lightweight Trustworthy Distributed Clustering

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:28:00.209616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06adc5e6-f9bd-4cd4-a486-31af6a65343d · outbound

This paper cites an unresolved cited work.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:28:02.150064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54035d10-afb7-4e6a-bfd9-944a5751e7bc · outbound

This paper cites Communication efficient privacy-preserving distributed optimization using adaptive differential quantization.Signal Processing, 194:108456, 2022.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Communication efficient privacy-preserving distributed optimization using adaptive differential quantization.Signal Processing, 194:108456, 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:01.769140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eba66c33-6512-4440-8016-2dab27676dc9 · outbound

This paper cites Deep gradient compression: Reducing the communication bandwidth for distributed training.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Deep gradient compression: Reducing the communication bandwidth for distributed training

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:01.611484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54854488-37fe-4f49-b6be-3223eb792235 · outbound

This paper cites Provably communication-efficient data-parallel sgd via nonuniform quantization.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Provably communication-efficient data-parallel sgd via nonuniform quantization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:01.400055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c6aa2cc-a9ad-4652-9b29-2440bb9291e9 · outbound

This paper cites 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech dnns.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech dnns

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:01.093874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c096474a-abda-49ee-9b5c-dfffe43f1cfb · outbound

This paper cites Measuring the Effects of Data Parallelism on Neural Network Training.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Measuring the Effects of Data Parallelism on Neural Network Training

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:59.916061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e45dddd-623a-4c99-a765-bf7036a6c499 · outbound

This paper cites A distributed synchronous sgd algorithm with global top-k sparsification for low bandwidth networks.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm A distributed synchronous sgd algorithm with global top-k sparsification for low bandwidth networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:00.904716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fdd9601-a637-41fd-b908-35237e92aafc · outbound

This paper cites Sparsified sgd with memory.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Sparsified sgd with memory

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:00.795657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ad9f07e-75ab-4d40-9d14-0c426ff55100 · outbound

This paper cites Powersgd: Practical low-rank gradient compression for distributed optimization.

Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm Powersgd: Practical low-rank gradient compression for distributed optimization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:00.606362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.