Paper Citation Record · LEDGER

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge

As of 12 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2505.14592.

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

pith.paper-citation-record.v1
2505.14592 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:35:09.522178Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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 exact0
verified fuzzy13
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50d52774-adf6-4218-b692-1d543e12b3d5 · outbound

This paper cites Natural language processing,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Natural language processing,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:11.753052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ce8287d5-d98f-4a3c-b155-e002eb1545d2 · outbound

This paper cites Task-oriented feature dis- tillation,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Task-oriented feature dis- tillation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:11.603986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b799751-6c6b-40c3-88de-117e1acb9370 · outbound

This paper cites Aci iot network traffic dataset 2023,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Aci iot network traffic dataset 2023,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:08.406273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad2e17e9-fe07-442a-b7d3-b960384299c8 · outbound

This paper cites Kitsune: An ensemble of autoencoders for online network intrusion detection,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Kitsune: An ensemble of autoencoders for online network intrusion detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:11.473796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 74c2a575-7e2f-4b0b-b332-b9932e1b9465 · outbound

This paper cites BERT-of-Theseus: Compressing BERT by Progressive Module Replacing.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge BERT-of-Theseus: Compressing BERT by Progressive Module Replacing

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:08.620903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c65c6ff-3990-4d38-b094-cd1414c1aaf1 · outbound

This paper cites Structured pruning for deep convolutional neural networks: A survey,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Structured pruning for deep convolutional neural networks: A survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:11.336270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fd83950e-24fd-4517-9e6c-fb3afdd4f512 · outbound

This paper cites Applications of machine learning and deep learning in securing internet of battlefield things: A futuristic perspective,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Applications of machine learning and deep learning in securing internet of battlefield things: A futuristic perspective,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:11.124138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e0a4851e-09e3-4aa4-b831-795e63389c61 · outbound

This paper cites Co-design of decision trees for network intrusion detection at the edge on digital vs. analog hardware,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Co-design of decision trees for network intrusion detection at the edge on digital vs. analog hardware,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:10.907981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b406c3ff-166c-414a-9cf3-f1fd92f8ae3e · outbound

This paper cites How to forget jenny’s phone num- ber,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge How to forget jenny’s phone num- ber,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:10.663445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f9cdcf91-1e33-4ddc-9775-032d82dc2b06 · outbound

This paper cites An introduction to computing with neural nets,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge An introduction to computing with neural nets,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:10.539706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c68953c-8f89-435d-b564-2fd51b92ea2b · outbound

This paper cites Learning both weights and connections for efficient neural network,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Learning both weights and connections for efficient neural network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:10.402694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a8d4f744-de52-403d-a8f1-8450a557703e · outbound

This paper cites Dnn compression by admm-based joint pruning,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Dnn compression by admm-based joint pruning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:10.256737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ebc97ed8-c3a7-4562-a225-395be8ff745c · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Distilling the Knowledge in a Neural Network

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:09.133531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49470cbf-956a-4e8d-b0fd-961e0e6cd21e · outbound

This paper cites Compressing Deep Convolutional Networks using Vector Quantization.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Compressing Deep Convolutional Networks using Vector Quantization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:09.173008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb00e9b9-c1ce-44b8-aed1-13e38f5c6861 · outbound

This paper cites L1unstructured,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge L1unstructured,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:10.132518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f48954de-3796-49a1-ae87-b7ac44e1c9a1 · outbound

This paper cites Dais: Automatic channel pruning via differentiable annealing indicator search,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Dais: Automatic channel pruning via differentiable annealing indicator search,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:10.016100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 59e1e736-18ec-4ad9-9306-cdd5d6dbde14 · outbound

This paper cites Thinet: A filter level pruning method for deep neural network compression,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Thinet: A filter level pruning method for deep neural network compression,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:09.860339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 95b50f6d-764c-4997-b383-62e08c22a2e4 · outbound

This paper cites Knowledge distillation: A survey,.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Knowledge distillation: A survey,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:09.475015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c6e005c-8c0a-4fca-b45e-2d14b70ae315 · outbound

This paper cites DARTS: Differentiable Architecture Search.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge DARTS: Differentiable Architecture Search

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:09.522178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bde8999-5f8a-4749-a148-9542d9e281d1 · outbound

This paper cites Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection.

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:08.527011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.