Paper Citation Record · LEDGER

Distilling On-Device Intelligence at the Network Edge

As of 16 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:1908.05895.

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

pith.paper-citation-record.v1
1908.05895 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:06:33.924938Z

measured 15 of 15 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 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

15 of 15 outbound references displayed

verified exact2
verified fuzzy10
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0bef3d9-9692-447c-8b7f-05062335dd1c · outbound

This paper cites Wireless Network Intelligence at the Edge.

Distilling On-Device Intelligence at the Network Edge Wireless Network Intelligence at the Edge

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T13:06:33.834205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c91eeb5-bc12-4999-8e89-9b045d599a9b · outbound

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

Distilling On-Device Intelligence at the Network Edge Communication-efﬁcient learning of deep networks from decentralized data,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:06:34.265449Z

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.

Observation 540c6a4c-0ed3-4e76-b16a-1285f0db6a43 · outbound

This paper cites Federated machine learn- ing: Concept and applications,.

Distilling On-Device Intelligence at the Network Edge Federated machine learn- ing: Concept and applications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:06:34.250103Z

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.

Observation c661853c-6eed-4a70-9812-b2c989e7bfcf · outbound

This paper cites No Peek: A Survey of private distributed deep learning.

Distilling On-Device Intelligence at the Network Edge No Peek: A Survey of private distributed deep learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:06:34.049706Z

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.

Observation ba81f04a-57e7-417a-bb33-d792c76bd5be · outbound

This paper cites Adaptive federated learning in resource constrained edge computing systems,.

Distilling On-Device Intelligence at the Network Edge Adaptive federated learning in resource constrained edge computing systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:06:34.234149Z

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.

Observation 0a4386fa-2c20-4f7c-8126-abbd0a994fbc · outbound

This paper cites GADMM: Fast and communication efﬁcient framework for distributed machine learning,.

Distilling On-Device Intelligence at the Network Edge GADMM: Fast and communication efﬁcient framework for distributed machine learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:06:34.218979Z

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.

Observation 80ecc819-e1b8-4118-a9bc-d9c6b99e9b8d · outbound

This paper cites Blockchained On-Device Federated Learning.

Distilling On-Device Intelligence at the Network Edge Blockchained On-Device Federated Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T13:06:33.879140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7eac647-b10f-4a75-b6b7-ac2632f1ca12 · outbound

This paper cites A linear speedup analysis of distributed deep learning with sparse and quantized communication,.

Distilling On-Device Intelligence at the Network Edge A linear speedup analysis of distributed deep learning with sparse and quantized communication,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:06:34.194932Z

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.

Observation 0ab19438-4bc1-4088-b013-f0d8daeb89ca · outbound

This paper cites Communication-efﬁcient on-device machine learning: Federated distillation and augmentation under non-IID private data,.

Distilling On-Device Intelligence at the Network Edge Communication-efﬁcient on-device machine learning: Federated distillation and augmentation under non-IID private data,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:06:34.173695Z

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.

Observation 97e4cdf4-ac17-452c-9363-cfb7f81f6840 · outbound

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

Distilling On-Device Intelligence at the Network Edge Large scale distributed neural network training through online distillation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T13:06:33.897510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0473be15-6a91-4a75-aeb0-c858157323f5 · outbound

This paper cites Federated reinforcement distillation with proxy experience memory,.

Distilling On-Device Intelligence at the Network Edge Federated reinforcement distillation with proxy experience memory,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:06:34.158304Z

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.

Observation 36a6107c-4e45-4df9-b088-3e60460d2cb8 · outbound

This paper cites Tractable resource management with uplink decoupled millimeter-wave overlay in ultra-dense cellular networks,.

Distilling On-Device Intelligence at the Network Edge Tractable resource management with uplink decoupled millimeter-wave overlay in ultra-dense cellular networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:06:34.139381Z

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.

Observation 16dc038e-5458-43a1-9960-72836063e6d3 · outbound

This paper cites On data summa- rization for machine learning in multi-organization federations,.

Distilling On-Device Intelligence at the Network Edge On data summa- rization for machine learning in multi-organization federations,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:06:34.118081Z

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.

Observation 84e6876b-3605-4484-892a-e8d2d708516a · outbound

This paper cites Robust Coreset Construction for Distributed Machine Learning.

Distilling On-Device Intelligence at the Network Edge Robust Coreset Construction for Distributed Machine Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:06:33.989291Z

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.

Observation 31f2dcf7-3720-4d0e-817f-df6e426b435a · outbound

This paper cites Multi-hop federated private data augmentation with sample compression,.

Distilling On-Device Intelligence at the Network Edge Multi-hop federated private data augmentation with sample compression,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:06:34.099280Z

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.

Pith citing papers

No inbound Pith citation observations are available.