Paper Citation Record · LEDGER

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework

As of 12 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2501.06191.

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

pith.paper-citation-record.v1
2501.06191 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:35:20.808187Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

39 of 39 outbound references displayed

verified exact0
verified fuzzy24
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a03f9885-0d87-4b78-a181-7824d1fe3887 · outbound

This paper cites an unresolved cited work.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:35:21.284256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1ce59750-ea9e-4c84-b83e-30a82c26abea · outbound

This paper cites computing devices often with sensor capability to collect, share, and transfer data using the Internet.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework computing devices often with sensor capability to collect, share, and transfer data using the Internet

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.272263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 53746b0b-73c5-4f35-ac47-ed33cfc919d9 · outbound

This paper cites Deep Learning in Real Time – Inference Acceleration and Continuous Training.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Deep Learning in Real Time – Inference Acceleration and Continuous Training

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.227742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a07040be-9b32-4637-9fb0-cc16b14ad014 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics, 2019.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework IEEE Journal of Biomedical and Health Informatics, 2019

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.249367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8b40d94e-1b37-416d-99bd-5555ee4cae57 · outbound

This paper cites an unresolved cited work.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:35:21.238496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ffd23220-288a-4924-8a70-ed51cd3474ce · outbound

This paper cites IEEE Internet of Things Journal, 2016.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework IEEE Internet of Things Journal, 2016

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.195091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4850747d-c81d-43c4-a552-53c0fde250af · outbound

This paper cites Behaviour & Information Technology, 2013.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Behaviour & Information Technology, 2013

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.216947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e6ece4dd-0148-403a-a968-c0bab78fb860 · outbound

This paper cites an unresolved cited work.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:35:21.206129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15df5b20-be7d-477a-9976-fed3b2beab80 · outbound

This paper cites IEEE Transactions on Industrial Informatics, 2019.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework IEEE Transactions on Industrial Informatics, 2019

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.162228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f70ed889-c5c3-45b9-834b-1ba3dc659bb6 · outbound

This paper cites Automated Management of Deep Learning Experiments.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Automated Management of Deep Learning Experiments

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.184118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 062d3213-7ae9-411a-8143-3a4cb7eadabc · outbound

This paper cites Towards unified data and lifecycle management for de ep learning.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Towards unified data and lifecycle management for de ep learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.172981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0ab31ea6-d86e-4403-bf39-d6ea31cb8f6b · outbound

This paper cites Ota, and M.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Ota, and M

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.129155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ec417092-d238-4a2c-921c-8ea86b0817cb · outbound

This paper cites Procedia computer science, 2017.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Procedia computer science, 2017

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.151089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 075f52c3-395b-4822-b7d2-bcd42d3801a5 · outbound

This paper cites an unresolved cited work.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:35:21.140398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 848b6100-d242-4e2b-911d-adfbe166502b · outbound

This paper cites Han, and K.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Han, and K

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.096918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 559aec8a-2a35-4f5c-aa9c-518f411add9d · outbound

This paper cites Thomas, and K.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Thomas, and K

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.118465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 60e0d35c-8fef-4129-be9b-34c4f23ecbc4 · outbound

This paper cites Software: Practice and Experience, 2017.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Software: Practice and Experience, 2017

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.107222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf17ae4b-ed3d-4803-be0b-f06b2522df7a · outbound

This paper cites TensorSCONE: A Secure TensorFlow Framework using Intel SGX.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework TensorSCONE: A Secure TensorFlow Framework using Intel SGX

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:20.740490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ac1ffdc-97e6-47d7-ad27-e968656a88fa · outbound

This paper cites M odel DB: a system for machine learning model manag ement.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework M odel DB: a system for machine learning model manag ement

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.085884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 73832e34-ce6b-4de8-82af-5801c56d4da0 · outbound

This paper cites Automatically tracking metadata and provenance of ma chine learning experiments.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Automatically tracking metadata and provenance of ma chine learning experiments

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.074640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0427425c-f410-436c-be32-75146bcca17b · outbound

This paper cites Deep fried convnets.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Deep fried convnets

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.041196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 047e5657-f6de-4ab3-acf7-d7ad81847286 · outbound

This paper cites Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.063702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f49c04e2-a58b-44ba-ad7f-e34885cdab84 · outbound

This paper cites apparea” is the business focus and “cost.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework apparea” is the business focus and “cost

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.260705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1226f4ba-e704-44dc-9f3e-6b27fc044cad · outbound

This paper cites an unresolved cited work.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:35:21.052579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation abc6abd5-f0d3-427d-86ba-61558265cea0 · outbound

This paper cites an unresolved cited work.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:35:21.029870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a9467d5e-ae58-4c79-a9f6-3df060b0472a · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Distilling the Knowledge in a Neural Network

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:20.759136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9e23637-ac11-4bd5-984b-57c6da82dac8 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:20.763058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c36fe4-4db4-4d04-96aa-a85178b158d2 · outbound

This paper cites Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II).

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II)

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T12:35:20.877670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f3312877-7959-4a73-90d4-f0659e2cda0c · outbound

This paper cites Quantization and training o f neural networks for efficient integer -arithmetic-only inference.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Quantization and training o f neural networks for efficient integer -arithmetic-only inference

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.017139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e836742-3f48-4cf5-86b3-680173a84f14 · outbound

This paper cites Wang, and W.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Wang, and W

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:21.005428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 62c60312-fc4f-480b-9a07-7381dc35636e · outbound

This paper cites 26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework 26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T12:35:20.861982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation be488e6a-58d6-4da3-a34e-73cc3caf7a39 · outbound

This paper cites A Deep One-Shot Network for Query-based Logo Retrieval.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework A Deep One-Shot Network for Query-based Logo Retrieval

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T12:35:20.845455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d3d48ad3-658c-4223-bfe5-265511d57a33 · outbound

This paper cites Accelerating Deep Learning inference on mobile system s.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Accelerating Deep Learning inference on mobile system s

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:20.994105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6348f078-267a-4086-817f-280db9447ac0 · outbound

This paper cites an unresolved cited work.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:35:20.981809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 06760513-d977-41c7-9ff7-09d60bd71000 · outbound

This paper cites an unresolved cited work.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:35:20.969893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c04fa4a-046f-41e8-a14d-e8f8ba1324cb · outbound

This paper cites Yoon, and M.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Yoon, and M

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:20.958271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ee8d6082-9bec-41fe-82a7-1a5b8eee6b21 · outbound

This paper cites MIS quarterly, 2004.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework MIS quarterly, 2004

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:20.947190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f2f5a51d-d49f-4ac7-b81f-ded8260f2d78 · outbound

This paper cites What is measurement stability.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework What is measurement stability

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:20.935400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da77bd94-c1c6-4b0a-bb65-f7a816d1cbc6 · outbound

This paper cites an unresolved cited work.

Towards Applying Deep Learning to The Internet of Things: A Model and A Framework Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:35:20.922708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.