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Paper Citation Record · LEDGER

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

As of 16 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 3 inbound Pith citation observations for arXiv:1907.02745.

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

pith.paper-citation-record.v1
1907.02745 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T02:20:35.359931Z

measured 16 of 16 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T06:05:40.575172Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:00:05.833081Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec41cefc-49c7-4eba-9c28-0e63537f5ac7 · outbound

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

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Communication-efficient learning of deep networks from decentralized data

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.114094Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:0a1309a51464a264adb0fc9a7105dc27eec9e21fff50df117908f0ae1d2c5fc6

Observation f98ffd4d-418a-4041-896d-ff584812543c · outbound

This paper cites Communication-efficient on-device machine learning: federated distillation and augmentation under Non-IID private data.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Communication-efficient on-device machine learning: federated distillation and augmentation under Non-IID private data

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.111157Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:6fdf9bbfc2c5f7c6828790fb0be54988813c61a86fbe4b35770a903ff21b8b03

Observation 87ca2046-ee29-4cfa-9b17-e838904bf965 · outbound

This paper cites Distilling the knowledge in a neural network.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Distilling the knowledge in a neural network

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.148453Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:c5e71646b0d45a86fc81ff2172ef2fbd29f529751b6b088487009680cecb81f1

Observation 4dc57cd2-607d-42b8-b8ec-3d25237e891d · outbound

This paper cites Large scale distributed neural network training through online distillation.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Large scale distributed neural network training through online distillation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.137577Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:77d13ca80f0edae4f2e79c1f4d91d20063ce1a9fcc869cb9fbccbb5c26c95813

Observation f98594b7-d6e5-4052-8061-fcaf2c2b2bda · outbound

This paper cites Deep mutual learning.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Deep mutual learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.145067Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:a9a959694506de18bc598194af3f6356d6c55f508a3b7cd1651986a5b60ae7f5

Observation f93e3dc9-78a3-4ae7-b643-1bc46f21f3b9 · outbound

This paper cites Computation over multiple-access channels.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Computation over multiple-access channels

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.122527Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:e6e28606b6d3eac2719d177963711db1c7406acc98bc97d64759db03e55ee66f

Observation 5b549cf6-9478-478b-b7e1-d9a1e516128f · outbound

This paper cites Harnessing interference for analog function computation in wireless sensor networks.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Harnessing interference for analog function computation in wireless sensor networks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.116866Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:37a8c5cc4ec7729c94a7fdbbbb445e412f83585e07dc9399a84e0ad0ed10dde1

Observation be80c5f2-f25a-494f-b744-a39a2c4b860c · outbound

This paper cites MIMO over-the-air computation for high mobility multi-modal sensing.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data MIMO over-the-air computation for high mobility multi-modal sensing

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.119294Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:4a5249bb2b425ae63acb2b9ada8696f89174baf7f69061cb73da1b5de19076e4

Observation 98264000-2864-4c5c-8604-daf8c9f5f53b · outbound

This paper cites Low-latency broadband analog aggregation for federated edge learning.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Low-latency broadband analog aggregation for federated edge learning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.134055Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:bd943eb658bd967bd9aa2e344ef7f3f465c7910d5e1b9ac116cd7691156663e0

Observation 435227e0-a0fb-4546-ae49-406ceccb7232 · outbound

This paper cites Machine learning at the wireless edge: Distributed stochastic gradient descent over-the-air.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Machine learning at the wireless edge: Distributed stochastic gradient descent over-the-air

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.131328Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:a5666682fb0f6d6fe43ce37791981025e8794bb6595685dece80bc83b4cea829

Observation 464ca5de-c26e-43d3-8b0d-b2663ad0a5bf · outbound

This paper cites Sparse binary compression: Towards distributed deep learning with minimal communication.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Sparse binary compression: Towards distributed deep learning with minimal communication

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.141364Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:8f4f1fb38c2e13419495954e5b1364b92c6cde3e403347a10c4a4434dbc52443

Observation dfee17d4-6288-44c6-9f23-a4bb5474035d · outbound

This paper cites an unresolved cited work.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-25T21:07:09.124984Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:4a6ff2049ba78deb21e84f14b5203a533666dbb4b4e8b1fde404c42bfbb55830

Observation 088b83bc-154e-4b86-8454-c0b2b10d8df9 · outbound

This paper cites Message-passing algorithms for compressed sensing.

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Message-passing algorithms for compressed sensing

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T21:07:09.128043Z

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=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:17096634994234cc35ff563338a971f6438b5699990bc97e82791276ba058550

Pith citing papers

Observation e6d14a84-cc49-4a17-a394-1301d5ba9009 · inbound

Over-the-Air Computation Systems: Optimization, Analysis and Scaling Laws cites this paper.

Over-the-Air Computation Systems: Optimization, Analysis and Scaling Laws Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T06:05:40.575172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:40.575172Z digest=sha256:0d790420809527052974cab631b5f542ccb3134cfdb7ef5d11cbb3a2d2fc0c62

Observation 58cb90e1-2183-4e1d-96c5-ae8651ee3eb1 · inbound

Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence cites this paper.

Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T05:52:37.302210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:52:37.302210Z digest=sha256:706b30909b53eb61895f34ad044bdb8f8d1fe76cba624bb86dfe3701cd28facb

Observation 9bfb8cf1-150d-4194-af25-76aec711ffb4 · inbound

Hierarchical Federated Learning Across Heterogeneous Cellular Networks cites this paper.

Hierarchical Federated Learning Across Heterogeneous Cellular Networks Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:00:05.837004Z

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=pdf_text observed=2026-08-14T05:00:05.578613Z digest=sha256:20f28a20a9601c4cbda44fa7df4c819ad836038dab32d32779d955d907c4a69e