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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:21ba2be2c2ca42144e05117816d541942b431a35dfc20855ff9339fc495a5c1c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:9afe99d1b2ae5704f52e3e247c146e8690fb09a31741644922f0b04b24e7095d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:e4a8dc7bbc386efb88ec7404c3362179e4bb67ba76581134cfac66101cd56288

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:c6fc100d5a00bd758978fcb988a00e3638fb4c8c6b372c1392e869ee543e903f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:0386cccf67645a9764e0aa7fe8bf2188bbf18c4138e1c90cbed15f11ac9dc8b2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:73a50b710491ad9069b0e0a53b5fbafcda120d14c8719d08e5e78bdfcc35b663

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:1faaa4464f5cd78b781c6fe5a7f970abb2958037cb14e569b8e8487f8168c777

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:bfddac7975f8e6514da7db6eed7cbf0682c767ecbaae759bf60ed320796e0584

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:f07b12197d16ab86b048e592db517032c52e18305fc3c0632d8e265771cb55e4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:92f3b88000a61990f8c6a3753d566ac53cb98c029a867ca8dc672eb8dde7a660

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:e9e7317e32b29d18884e2b7f91743d7a7a19310387450c17aa22457faf1be083

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:62578f5f4b3071849c986ddbd0fdcdd4d9eaf9b62ed1253c370f8ce74f772b7f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T02:20:35.359931Z digest=sha256:0452b0da575817c74b400bb3cd536496d445a4b211bd8c39d1a108a7eb1845ac

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:00:05.578613Z digest=sha256:eb3b327a6ace2f5fc8da0a3948eeb0981a020a529bd7514ed6cc77e68f399de2