CENDRe: Concept Extraction with Natural Domain Representations | Paper Citation Record

Observation a8b98936-11c3-4c3a-b734-2d85106b3889 · outbound

This paper cites an unresolved cited work.

CENDRe: Concept Extraction with Natural Domain Representations Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.649015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219c9612-7a20-48ab-ad56-14b621e20fbc · outbound

This paper cites Clevr-xai: A benchmark dataset for the ground truth evaluation of neural network explanations.Information Fusion, 81:14–40, 2022.

CENDRe: Concept Extraction with Natural Domain Representations Clevr-xai: A benchmark dataset for the ground truth evaluation of neural network explanations.Information Fusion, 81:14–40, 2022

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.655872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc760be3-8295-4358-938f-c9ecbe63dc23 · outbound

This paper cites Princeton university press, 2021.

CENDRe: Concept Extraction with Natural Domain Representations Princeton university press, 2021

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.659219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed439db8-d8cc-460d-b3d4-afc6644fc387 · outbound

This paper cites Random search for hyper-parameter optimization.Journal of machine learning research, 13(2), 2012.

CENDRe: Concept Extraction with Natural Domain Representations Random search for hyper-parameter optimization.Journal of machine learning research, 13(2), 2012

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.662104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f42136d-8e77-44e1-9816-b57538bc4154 · outbound

This paper cites FreqRISE: Explaining time series using frequency masking.

CENDRe: Concept Extraction with Natural Domain Representations FreqRISE: Explaining time series using frequency masking

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-03T03:28:22.745552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16404d83-830c-48af-a093-546ac04601a2 · outbound

This paper cites Density-based clustering based on hierarchical density estimates.

CENDRe: Concept Extraction with Natural Domain Representations Density-based clustering based on hierarchical density estimates

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.668766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adb00d81-9a8a-4ee8-943d-e457ec8f2a14 · outbound

This paper cites An effective screening design for sensitivity analysis of large models.Environmental modelling & software, 22(10):1509–1518, 2007.

CENDRe: Concept Extraction with Natural Domain Representations An effective screening design for sensitivity analysis of large models.Environmental modelling & software, 22(10):1509–1518, 2007

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.671571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bd7c59f-c02a-4045-a7bb-558718126b54 · outbound

This paper cites This looks like that: deep learning for interpretable image recognition.Advances in neural information processing systems, 32, 2019.

CENDRe: Concept Extraction with Natural Domain Representations This looks like that: deep learning for interpretable image recognition.Advances in neural information processing systems, 32, 2019

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.674757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62ea50ec-a6be-40e4-a931-24e4927a30e0 · outbound

This paper cites Time is not enough: Time- frequency based explanation for time-series black-box models.

CENDRe: Concept Extraction with Natural Domain Representations Time is not enough: Time- frequency based explanation for time-series black-box models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.677464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b682ec3-e41f-41df-b3c5-3395dcb4015d · outbound

This paper cites Towards prototype-based self-explainable graph neural network.

CENDRe: Concept Extraction with Natural Domain Representations Towards prototype-based self-explainable graph neural network

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.680036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d4ecb4-5765-4447-9529-be11a2d7c719 · outbound

This paper cites The ucr time series classification archive, October 2018.

CENDRe: Concept Extraction with Natural Domain Representations The ucr time series classification archive, October 2018

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.683197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff8995d1-79c5-492c-9f7c-9a288519f083 · outbound

This paper cites Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts.

CENDRe: Concept Extraction with Natural Domain Representations Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.686141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63105423-39c8-4d5e-bfad-5bfcdec6f36e · outbound

This paper cites Deformable protopnet: An interpretable image classifier using deformable prototypes.

CENDRe: Concept Extraction with Natural Domain Representations Deformable protopnet: An interpretable image classifier using deformable prototypes

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.688940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ea15cd7-b1b5-4093-8a81-37f3fbbc9940 · outbound

This paper cites A multi-scale cnn for transfer learning in semg-based hand gesture recognition for prosthetic devices.Sensors, 24(22):7147, 2024.

CENDRe: Concept Extraction with Natural Domain Representations A multi-scale cnn for transfer learning in semg-based hand gesture recognition for prosthetic devices.Sensors, 24(22):7147, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.691740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab36b54e-2514-4e44-96d7-955128343b99 · outbound

This paper cites Towards Automatic Concept- based Explanations.

CENDRe: Concept Extraction with Natural Domain Representations Towards Automatic Concept- based Explanations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.694405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48eb1d74-d195-420a-a4f7-729aacaf64e3 · outbound

This paper cites Deep residual learning for image recognition.

CENDRe: Concept Extraction with Natural Domain Representations Deep residual learning for image recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.697108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e2cff0-08f9-4d0d-8003-b07e3d052cbf · outbound

This paper cites Classification of time series by shapelet transformation.Data mining and knowledge discovery, 2014.

CENDRe: Concept Extraction with Natural Domain Representations Classification of time series by shapelet transformation.Data mining and knowledge discovery, 2014

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.699706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b08e4a08-425e-4564-b561-892787130474 · outbound

This paper cites A simple sequentially rejective multiple test procedure.Scandinavian journal of statistics, pages 65–70, 1979.

CENDRe: Concept Extraction with Natural Domain Representations A simple sequentially rejective multiple test procedure.Scandinavian journal of statistics, pages 65–70, 1979

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.702403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0623517-7965-4c5a-bfa0-d32b3ded4a86 · outbound

This paper cites Concept extraction for time series with eclad-ts.

CENDRe: Concept Extraction with Natural Domain Representations Concept extraction for time series with eclad-ts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.705557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a99a15c-8a7b-4589-8b9f-693c542f4037 · outbound

This paper cites Densely connected convolutional networks.

CENDRe: Concept Extraction with Natural Domain Representations Densely connected convolutional networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.708343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0957c068-1856-41cc-a507-ab43907dcf42 · outbound

This paper cites Inceptiontime: Finding alexnet for time series classification.Data Mining and Knowledge Discovery, 34(6):1936–1962, 2020.

CENDRe: Concept Extraction with Natural Domain Representations Inceptiontime: Finding alexnet for time series classification.Data Mining and Knowledge Discovery, 34(6):1936–1962, 2020

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.711122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f547bb95-af1f-4e04-a74c-763a979d683b · outbound

This paper cites PACE: Posthoc Architecture- Agnostic Concept Extractor for Explaining CNNs.

CENDRe: Concept Extraction with Natural Domain Representations PACE: Posthoc Architecture- Agnostic Concept Extractor for Explaining CNNs

Reference 22

Resolution: malformed identifier; no resolver link, observed 2026-08-03T03:25:35.714284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a300b48-f89b-4ee1-a96f-f4c20c52ed62 · outbound

This paper cites The simple difference formula: An approach to teaching nonparametric correla- tion.Comprehensive Psychology, 3:11–IT, 2014.

CENDRe: Concept Extraction with Natural Domain Representations The simple difference formula: An approach to teaching nonparametric correla- tion.Comprehensive Psychology, 3:11–IT, 2014

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.717627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98750265-2433-45c0-9f44-4e981e06944e · outbound

This paper cites Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCA V).

CENDRe: Concept Extraction with Natural Domain Representations Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCA V)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.720782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2874bbe-8ab2-42dd-8632-5c010a08df7e · outbound

This paper cites Time-frequency multi-domain 1d convolutional neural network with channel-spatial attention for noise-robust bearing fault diagnosis.Sensors, 23(23): 9311, 2023.

CENDRe: Concept Extraction with Natural Domain Representations Time-frequency multi-domain 1d convolutional neural network with channel-spatial attention for noise-robust bearing fault diagnosis.Sensors, 23(23): 9311, 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.723670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41013489-b2fe-4bd1-b623-d1ebf8021f73 · outbound

This paper cites Atrial fibrillation and atrial flutter detection using deep learning.

CENDRe: Concept Extraction with Natural Domain Representations Atrial fibrillation and atrial flutter detection using deep learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.726886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92ebed6c-f462-4b3c-813a-9e053ac72476 · outbound

This paper cites Pywavelets: A python package for wavelet analysis.Journal of Open Source Software, 4(36):1237, 2019.

CENDRe: Concept Extraction with Natural Domain Representations Pywavelets: A python package for wavelet analysis.Journal of Open Source Software, 4(36):1237, 2019

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.730199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b34559a-ad35-499f-898c-4669b76d2f91 · outbound

This paper cites Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: A benchmark data set for data-driven classification.

CENDRe: Concept Extraction with Natural Domain Representations Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: A benchmark data set for data-driven classification

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.733406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 261373ee-3bcf-4c83-b9f7-c84d68726e5f · outbound

This paper cites Decoupled Weight Decay Regularization.

CENDRe: Concept Extraction with Natural Domain Representations Decoupled Weight Decay Regularization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.736517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aa35b6f-aa75-4f09-bd30-1fbd3c00376c · outbound

This paper cites Concept-based explainability for an eeg transformer model.

CENDRe: Concept Extraction with Natural Domain Representations Concept-based explainability for an eeg transformer model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.739916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42c7f0be-9459-4f52-85fa-16c2a359d9e3 · outbound

This paper cites From confusion to clarity: Protoscore-a framework for evaluating prototype-based xai.

CENDRe: Concept Extraction with Natural Domain Representations From confusion to clarity: Protoscore-a framework for evaluating prototype-based xai

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.742966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f3bcb8e-45b5-47b5-bb55-348dc911f7b0 · outbound

This paper cites Factorial sampling plans for preliminary computational experiments.Quality control and applied statistics, 37(6):307–310, 1992.

CENDRe: Concept Extraction with Natural Domain Representations Factorial sampling plans for preliminary computational experiments.Quality control and applied statistics, 37(6):307–310, 1992

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.746002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89208605-6af7-4453-a0fc-35ee74bcb7fe · outbound

This paper cites Modern hierarchical, agglomerative clustering algorithms.

CENDRe: Concept Extraction with Natural Domain Representations Modern hierarchical, agglomerative clustering algorithms

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.748961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00134893-2bf3-4abe-9879-988ef3b33067 · outbound

This paper cites Generalized eta and omega squared statistics: measures of effect size for some common research designs.Psychological methods, 8(4):434, 2003.

CENDRe: Concept Extraction with Natural Domain Representations Generalized eta and omega squared statistics: measures of effect size for some common research designs.Psychological methods, 8(4):434, 2003

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.752198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103db7b9-244e-4189-bc79-d339bdb47759 · outbound

This paper cites Pearson Education India, 1999.

CENDRe: Concept Extraction with Natural Domain Representations Pearson Education India, 1999

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.755619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eabc797c-b443-4fd4-9ae0-dfe35f04750b · outbound

This paper cites Concept- based explainable artificial intelligence: A survey.ACM Computing Surveys, 2023.

CENDRe: Concept Extraction with Natural Domain Representations Concept- based explainable artificial intelligence: A survey.ACM Computing Surveys, 2023

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.758738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efd63c30-8dda-433c-916d-8118b9f1120d · outbound

This paper cites Scale-preserving automatic concept extraction (SPACE).Machine Learning, 112(11):4495– 4525, 2023.

CENDRe: Concept Extraction with Natural Domain Representations Scale-preserving automatic concept extraction (SPACE).Machine Learning, 112(11):4495– 4525, 2023

Reference 37

Resolution: verified exact; doi, observed 2026-08-03T03:28:22.435567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20ef21a7-8ef2-4938-9176-961ec1f52923 · outbound

This paper cites ECLAD: Extracting Concepts with Local Aggregated Descriptors.Pattern Recognition, 147:110146, 2023.

CENDRe: Concept Extraction with Natural Domain Representations ECLAD: Extracting Concepts with Local Aggregated Descriptors.Pattern Recognition, 147:110146, 2023

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.764826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6404abd-7228-4438-bb39-25a6b1483a80 · outbound

This paper cites Rolling element bearing diagnostics—a tutorial.Me- chanical systems and signal processing, 25(2):485–520, 2011.

CENDRe: Concept Extraction with Natural Domain Representations Rolling element bearing diagnostics—a tutorial.Me- chanical systems and signal processing, 25(2):485–520, 2011

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.767549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 096c7f0c-1dee-46eb-893c-52e2da17898f · outbound

This paper cites A hybrid 1d cnn-bilstm model for epileptic seizure detection using multichannel eeg feature fusion.Biomedical physics & engineering express, 10 (3):035040, 2024.

CENDRe: Concept Extraction with Natural Domain Representations A hybrid 1d cnn-bilstm model for epileptic seizure detection using multichannel eeg feature fusion.Biomedical physics & engineering express, 10 (3):035040, 2024

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.770438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99d20c14-77d3-432d-adbb-93fc30d402f3 · outbound

This paper cites Silhouettes: a graphical aid to the interpretation and validation of cluster analysis.Journal of computational and applied mathematics, 20:53–65, 1987.

CENDRe: Concept Extraction with Natural Domain Representations Silhouettes: a graphical aid to the interpretation and validation of cluster analysis.Journal of computational and applied mathematics, 20:53–65, 1987

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.773275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3d7a9b8-b22e-44e4-bbe4-da97e5faa552 · outbound

This paper cites John Wiley & Sons, 2008.

CENDRe: Concept Extraction with Natural Domain Representations John Wiley & Sons, 2008

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.776100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c4cdb6b-5bc3-48ca-99c4-1ec66261f0f4 · outbound

This paper cites Web-scale k-means clustering.

CENDRe: Concept Extraction with Natural Domain Representations Web-scale k-means clustering

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.779084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5277d79-0f3a-452e-a770-a026e72d130f · outbound

This paper cites SmoothGrad: removing noise by adding noise.

CENDRe: Concept Extraction with Natural Domain Representations SmoothGrad: removing noise by adding noise

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.781721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b83cb7c-56f8-4d6b-bc3a-94694ba115b1 · outbound

This paper cites Smith and Robert B.

CENDRe: Concept Extraction with Natural Domain Representations Smith and Robert B

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.784929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f9d8cd-8685-48b5-844d-9cc39bc454ef · outbound

This paper cites Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates.Mathematics and computers in simulation, 55(1-3):271–280, 2001.

CENDRe: Concept Extraction with Natural Domain Representations Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates.Mathematics and computers in simulation, 55(1-3):271–280, 2001

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.787873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b5b2b6d-dbba-4ea9-a111-df259fb808bf · outbound

This paper cites Convolutional neural networks for raw signal classification in cnc turning process monitoring.

CENDRe: Concept Extraction with Natural Domain Representations Convolutional neural networks for raw signal classification in cnc turning process monitoring

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.790805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d4a6f08-00af-4b16-a021-870409535c1c · outbound

This paper cites Ex- plainable ai for time series via virtual inspection layers.Pattern Recognition, 150:110309, 2024.

CENDRe: Concept Extraction with Natural Domain Representations Ex- plainable ai for time series via virtual inspection layers.Pattern Recognition, 150:110309, 2024

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.793832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa88b080-5353-458b-8dd6-494731bb0ccd · outbound

This paper cites Individual comparisons by ranking methods.

CENDRe: Concept Extraction with Natural Domain Representations Individual comparisons by ranking methods

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.796447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df1676da-59e1-4478-a79e-cc88bdc02c7c · outbound

This paper cites Ptwt-the pytorch wavelet toolbox.Journal of Machine Learning Research, 25(80):1–7, 2024.

CENDRe: Concept Extraction with Natural Domain Representations Ptwt-the pytorch wavelet toolbox.Journal of Machine Learning Research, 25(80):1–7, 2024

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.799321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f889b7e8-8c56-49ed-8ebd-e759680c3dee · outbound

This paper cites On completeness-aware concept-based explanations in deep neural networks.

CENDRe: Concept Extraction with Natural Domain Representations On completeness-aware concept-based explanations in deep neural networks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.802302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1a258ce-1cdb-42b0-85a6-285641bdc719 · outbound

This paper cites absence” masks described below. Shared generation parameters are summarized in Table 2. Negatives as primitives.A model can learn “absence of square.

CENDRe: Concept Extraction with Natural Domain Representations absence” masks described below. Shared generation parameters are summarized in Table 2. Negatives as primitives.A model can learn “absence of square

Reference 52

Resolution: malformed identifier; no resolver link, observed 2026-08-03T03:25:35.805163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdb10ed1-3153-431b-bc46-3c973a841497 · outbound

This paper cites an unresolved cited work.

CENDRe: Concept Extraction with Natural Domain Representations Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:35.652861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers