Paper Citation Record · LEDGER

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks

As of 9 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 4 inbound Pith citation observations for arXiv:2508.21715.

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

pith.paper-citation-record.v1
2508.21715 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:05:55.875820Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:44:52.762530Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T06:45:29.222719Z

Reference resolution

27 of 27 outbound references displayed

verified exact1
verified fuzzy11
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1722ddac-f982-44ae-9f5a-a82ee4897511 · outbound

This paper cites These information metrics provide non-invasive profiling of feature transformations across the network, enabling early detection of deviations in representation quality.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks These information metrics provide non-invasive profiling of feature transformations across the network, enabling early detection of deviations in representation quality

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:05:56.628774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4be48d79-5515-47af-ba06-ab7905f69fad · outbound

This paper cites an unresolved cited work.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:05:56.556742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b65cc29f-a1c2-4450-9b13-684b12352ecb · outbound

This paper cites an unresolved cited work.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:05:56.599879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91450e45-6f20-49da-9557-d81e72891e9d · outbound

This paper cites an unresolved cited work.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:05:56.508386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 60601850-b69b-431b-8393-4c0159771ea5 · outbound

This paper cites W., et al.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks W., et al

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:05:56.530877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62da98c2-2b24-43a5-a49c-3bb4b5c2005d · outbound

This paper cites an unresolved cited work.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:05:56.457266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4274f403-aea8-445b-bf60-1fe5526c43a3 · outbound

This paper cites an unresolved cited work.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:05:56.478687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a157b38-7835-4ef7-8d22-ff5350fbc66c · outbound

This paper cites an unresolved cited work.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:05:56.435991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cadfc73c-087a-40c3-8515-260f97acce28 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:05:55.746371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cc35895-37c4-4fb8-ab4f-d210c126f76a · outbound

This paper cites Unlike existing methods, our framework operates in parallel to the original network, requiring no architectural modifications, retraining, or multiple forward passes.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Unlike existing methods, our framework operates in parallel to the original network, requiring no architectural modifications, retraining, or multiple forward passes

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:05:56.654999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 61a3eee3-928a-4b1d-b5c4-30b2d08e985f · outbound

This paper cites Energy-based out-of-distribution detection.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Energy-based out-of-distribution detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:05:56.412683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee08a3df-6abe-4eb8-87f1-fa8ba0388b1c · outbound

This paper cites Opening the Black Box of Deep Neural Networks via Information.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Opening the Black Box of Deep Neural Networks via Information

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T14:05:55.763734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68f7cc9c-8396-4bc9-bb30-3381b23cf9fa · outbound

This paper cites Detecting Adversarial Samples from Artifacts.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Detecting Adversarial Samples from Artifacts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T14:05:55.787098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 056ddc27-0622-40cb-96ac-b4d62641e63b · outbound

This paper cites Generalized Out-of-Distribution Detection: A Survey.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Generalized Out-of-Distribution Detection: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T14:05:55.802454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e795a04d-41c5-4d69-bd33-f14d0cc1b95a · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T14:05:55.807734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cfda750-e0b7-4a55-af90-21b2cdbf771d · outbound

This paper cites Evidential deep learning to quantify classification uncertainty.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Evidential deep learning to quantify classification uncertainty

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:05:56.345292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 11155eb1-82b9-4a7c-9e88-4f23486ab96e · outbound

This paper cites Predictive uncertainty estimation via prior networks.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Predictive uncertainty estimation via prior networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:05:56.319102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71457af4-c7fa-4787-8d4f-539240e90997 · outbound

This paper cites Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T14:05:55.826417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fec3b609-788e-4397-b85a-679aa08941f4 · outbound

This paper cites Deep learning and the information bottleneck principle.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Deep learning and the information bottleneck principle

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:05:56.293804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2d42d13-cc94-42cf-936c-b506dd2f3ce4 · outbound

This paper cites Estimating Information Flow in Deep Neural Networks.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Estimating Information Flow in Deep Neural Networks

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:05:55.947894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d805557d-781c-46a5-96d3-c86af5eb8d22 · outbound

This paper cites Scalable mutual information estimation using dependence graphs.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Scalable mutual information estimation using dependence graphs

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:05:56.267434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c3070ac-41a7-4a8b-83eb-81264c74e39b · outbound

This paper cites The information bottleneck problem and its applications in machine learning.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks The information bottleneck problem and its applications in machine learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:05:56.234839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 566c488d-37f4-426f-9bae-c5ab53c4f225 · outbound

This paper cites an unresolved cited work.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:05:56.210982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5517b7e-19a9-488b-b6a1-fab08243d384 · outbound

This paper cites (2025, May).

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks (2025, May)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:05:56.185347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96eec4a1-a8c2-46f8-9555-c5fcf3768e56 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-05T14:05:55.779631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6108d552-3566-47e4-9995-033458177d69 · outbound

This paper cites On Detecting Adversarial Perturbations.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks On Detecting Adversarial Perturbations

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-05T14:05:55.794047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20710f82-466a-4905-b69b-ed363e254610 · outbound

This paper cites Journal of Statistical Mechanics: Theory and Experiment, 2019(12), p.124020.

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks Journal of Statistical Mechanics: Theory and Experiment, 2019(12), p.124020

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:05:56.382357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 1cc58c00-990c-42ca-b6f5-38f6989215a6 · inbound

The Informational Cost of Agency: A Bounded Measure of Interaction Efficiency for Deployed Reinforcement Learning cites this paper.

The Informational Cost of Agency: A Bounded Measure of Interaction Efficiency for Deployed Reinforcement Learning Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:40:11.801097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f268737-855a-45fe-9122-7353f991a054 · inbound

The Informational Cost of Agency: A Bounded Measure of Interaction Efficiency for Deployed Reinforcement Learning cites this paper.

The Informational Cost of Agency: A Bounded Measure of Interaction Efficiency for Deployed Reinforcement Learning Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:45:03.189714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 07e2bd14-3815-4486-a85a-e87f80d44f38 · inbound

A Classifier-Agnostic Zero-Shot Adversarial Attack Detection via CLIP cites this paper.

A Classifier-Agnostic Zero-Shot Adversarial Attack Detection via CLIP Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:44:19.667178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0b5b5ebb-63bd-478d-868f-f8fb3796e318 · inbound

A Classifier-Agnostic Zero-Shot Adversarial Attack Detection via CLIP cites this paper.

A Classifier-Agnostic Zero-Shot Adversarial Attack Detection via CLIP Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T06:45:29.224502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.