Paper Citation Record · LEDGER

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.11183.

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

pith.paper-citation-record.v1
2507.11183 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:19:32.790122Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy20
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d9d69df-01b2-4132-a39f-b43421539750 · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Federated Learning: Strategies for Improving Communication Efficiency

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:19:31.260176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a6b7c2-1bef-4ca9-b898-da23517f5aa8 · outbound

This paper cites A survey on federated learning,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications A survey on federated learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:37.116996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c1cf3ff-1752-486b-9e52-355eb42b2f2d · outbound

This paper cites Federated learning in mobile edge networks: A com- prehensive survey,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Federated learning in mobile edge networks: A com- prehensive survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:36.946167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df77ede3-bb49-4507-82f5-80cdbb610bf9 · outbound

This paper cites Limitations and future aspects of communication costs in federated learning: A survey,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Limitations and future aspects of communication costs in federated learning: A survey,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:36.737348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 468f2ed0-f92c-44af-ba70-7e75a208e1df · outbound

This paper cites Advances and open problems in federated learning,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Advances and open problems in federated learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:36.462274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 38ff40d2-760d-46cc-8be2-d06b52e44db0 · outbound

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

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Communication efficient distributed machine learning with the parameter server,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:36.207123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff845dd7-6895-4e47-bf17-7ebcd077165a · outbound

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

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Communication complexity of distributed convex learning and optimization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:35.929351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63768268-f715-4a7f-a599-f87eaa50b82b · outbound

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

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Communication-efficient learning of deep networks from decentralized data,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:19:31.806050Z

Source-reported events for the cited work

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Observation 70f07914-0e70-4371-9037-702beaf8ee7f · outbound

This paper cites Efficient neural network compression,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Efficient neural network compression,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:35.655690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 19ddfdf7-aee7-4d7f-8e9b-695d97c4aa09 · outbound

This paper cites Marvel: Towards efficient federated learning on IoT devices,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Marvel: Towards efficient federated learning on IoT devices,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:35.403925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d6f37b3c-8c24-4956-9b35-63660c17f405 · outbound

This paper cites Deep neural network compression by Tucker decomposition with nonlinear response,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Deep neural network compression by Tucker decomposition with nonlinear response,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:35.245115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1ef45da2-be39-442d-9968-79de5fe150b1 · outbound

This paper cites Quantized rank reduction: A communications-efficient federated learning scheme for network-critical applications,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Quantized rank reduction: A communications-efficient federated learning scheme for network-critical applications,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:34.995216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2d01fb0-2e86-4a7f-a47d-86909acf7056 · outbound

This paper cites Computing neural network gradients,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Computing neural network gradients,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:34.804194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f241c52-adc8-4ab4-b1e7-f61d1986473d · outbound

This paper cites Generalization guarantees for neural networks via harnessing the low-rank structure of the Jacobian,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Generalization guarantees for neural networks via harnessing the low-rank structure of the Jacobian,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:34.609517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b069798-58fd-4bb8-850a-71a1d97afbac · outbound

This paper cites Some mathematical notes on three-mode factor analysis,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Some mathematical notes on three-mode factor analysis,

Reference 15

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Source-reported events for the cited work

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Observation 1037fb65-926d-4a2b-88c8-0e7a9dfbf3a2 · outbound

This paper cites Compression and interpretability of deep neural networks via Tucker tensor layer: From first principles to tensor valued back-propagation,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Compression and interpretability of deep neural networks via Tucker tensor layer: From first principles to tensor valued back-propagation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:34.371337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 609d70e9-cb1f-42b4-9402-e69ba6f84555 · outbound

This paper cites Tensor-factorized neural networks,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Tensor-factorized neural networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:34.207156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da5a8181-4429-4e7c-9fec-125d0e0cae7b · outbound

This paper cites De Lathauwer, Signal Processing Based on Multilinear Algebra.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications De Lathauwer, Signal Processing Based on Multilinear Algebra

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:33.980053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e776109c-a75b-4e0f-8478-89810d10741f · outbound

This paper cites QSGD: Communication-efficient SGD via gradient quantization and encoding,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications QSGD: Communication-efficient SGD via gradient quantization and encoding,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:33.775988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 058ca985-3f8f-484f-a715-8f4815e29f4e · outbound

This paper cites Distributed Learning with Compressed Gradient Differences.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Distributed Learning with Compressed Gradient Differences

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:19:32.513897Z

Source-reported events for the cited work

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Observation 92f4a69b-efd3-4551-8222-c389fd58b263 · outbound

This paper cites Neu- ral network quantization in federated learning at the edge,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Neu- ral network quantization in federated learning at the edge,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:33.614478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e2cec9fe-72f5-4df5-8148-d74745905009 · outbound

This paper cites Lazily aggregated quantized gradient innovation for communication-efficient federated learning,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Lazily aggregated quantized gradient innovation for communication-efficient federated learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:33.456010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b9fe1e29-8484-4feb-b995-0728a996ec81 · outbound

This paper cites The MNIST database of handwritten digit images for machine learning research,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications The MNIST database of handwritten digit images for machine learning research,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:33.349704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c58219bc-f715-4fba-b273-ed87d07c9fbb · outbound

This paper cites Learning multiple layers of features from tiny images,.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Learning multiple layers of features from tiny images,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:33.216281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 418605b7-e58b-4bbb-9222-3b2024dc74e8 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:19:32.790122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61ff2c42-72c2-48a8-b585-874b6f0bc284 · outbound

This paper cites Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation

Reference 2019

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T17:19:33.017481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.