Paper Citation Record · LEDGER

Explainable Novel Category Discovery in Semantic Concept Space

As of 14 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2607.04548.

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

pith.paper-citation-record.v1
2607.04548 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T17:32:24.547251Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:59:10.697321Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T16:59:12.215878Z

Reference resolution

57 of 57 outbound references displayed

verified exact0
verified fuzzy0
unresolved56
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d9fef63-8d08-47a7-9b3a-59d06fd65fd2 · outbound

This paper cites Novel class discovery without forgetting.

Explainable Novel Category Discovery in Semantic Concept Space Novel class discovery without forgetting

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6d22c20-bcdc-4f79-a2a9-fed102cb5487 · outbound

This paper cites Autonovel: Automatically discovering and learning novel visual categories.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10):6767–6781, 2021.

Explainable Novel Category Discovery in Semantic Concept Space Autonovel: Automatically discovering and learning novel visual categories.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10):6767–6781, 2021

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation f6003b2c-43e0-4e75-b2ba-91506993d5dc · outbound

This paper cites Representation learning and nature encoded fusion for heterogeneous sensor networks.IEEE Access, 7:39227–39235, 2019.

Explainable Novel Category Discovery in Semantic Concept Space Representation learning and nature encoded fusion for heterogeneous sensor networks.IEEE Access, 7:39227–39235, 2019

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation 83a1994e-5e36-4f20-9b44-213d59420dac · outbound

This paper cites Congestion aware dynamic user association in heteroge- neous cellular network: A stochastic decision approach.

Explainable Novel Category Discovery in Semantic Concept Space Congestion aware dynamic user association in heteroge- neous cellular network: A stochastic decision approach

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation 59db3acd-d36b-4f1d-99e6-151145eeb9c6 · outbound

This paper cites Explaining the behavior of neuron activations in deep neural networks.Ad Hoc Networks, 111:102346, 2021.

Explainable Novel Category Discovery in Semantic Concept Space Explaining the behavior of neuron activations in deep neural networks.Ad Hoc Networks, 111:102346, 2021

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation d257f809-018f-491c-b820-c942e8306bfb · outbound

This paper cites Exploration vs exploitation for distributed channel access in cognitive radio networks: A multi-user case study.

Explainable Novel Category Discovery in Semantic Concept Space Exploration vs exploitation for distributed channel access in cognitive radio networks: A multi-user case study

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 091507d7-943c-4669-97ad-7c8778e61c28 · outbound

This paper cites Deep reinforcement learning based computation offloading for mobility-aware edge computing.

Explainable Novel Category Discovery in Semantic Concept Space Deep reinforcement learning based computation offloading for mobility-aware edge computing

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation d78927ac-5691-4595-b1e5-96a013d3b5e0 · outbound

This paper cites Improving robustness of deep neural networks via large-difference transformation.Neurocomputing, 450:411–419, 2021.

Explainable Novel Category Discovery in Semantic Concept Space Improving robustness of deep neural networks via large-difference transformation.Neurocomputing, 450:411–419, 2021

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation c7cdc98d-4a08-49aa-8bb3-b2eb39e804c2 · outbound

This paper cites Looking beyond content: Modeling and detection of fake news from a social context perspective.

Explainable Novel Category Discovery in Semantic Concept Space Looking beyond content: Modeling and detection of fake news from a social context perspective

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672df4bf-c384-4899-9a9d-810e9fa83771 · outbound

This paper cites Layer-wise entropy analysis and visualization of neurons activation.

Explainable Novel Category Discovery in Semantic Concept Space Layer-wise entropy analysis and visualization of neurons activation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation 9b47b93a-e0c4-4bd6-a843-269bf9195ad0 · outbound

This paper cites Dense Cross-Connected Ensemble Convolutional Neural Networks for Enhanced Model Robustness.

Explainable Novel Category Discovery in Semantic Concept Space Dense Cross-Connected Ensemble Convolutional Neural Networks for Enhanced Model Robustness

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation daa13812-8fc3-4a8b-8efd-6933f9b9f083 · outbound

This paper cites Bridging Interpretability and Robustness Using LIME-Guided Model Refinement.

Explainable Novel Category Discovery in Semantic Concept Space Bridging Interpretability and Robustness Using LIME-Guided Model Refinement

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation 0381ecb6-52d1-42ba-ab31-ed49c421a135 · outbound

This paper cites Explainability- driven defense: grad-cam-guided model refinement against adversarial threats.

Explainable Novel Category Discovery in Semantic Concept Space Explainability- driven defense: grad-cam-guided model refinement against adversarial threats

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation 6d147e8e-e56d-4328-9cfd-5c10249a9670 · outbound

This paper cites Multi-scale unrectified push-pull with channel attention for enhanced corruption robustness.

Explainable Novel Category Discovery in Semantic Concept Space Multi-scale unrectified push-pull with channel attention for enhanced corruption robustness

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation 6d27387e-516b-4b6e-ae81-f37e87c7cfcf · outbound

This paper cites Expert-guided explainable few-shot learning for medical image diagnosis.

Explainable Novel Category Discovery in Semantic Concept Space Expert-guided explainable few-shot learning for medical image diagnosis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation 6a2da38f-6c8b-4e56-a8f3-15efb1d79841 · outbound

This paper cites GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring.

Explainable Novel Category Discovery in Semantic Concept Space GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation 94c3cb50-9047-4ee6-b934-8ebee9045cfc · outbound

This paper cites Toward carbon-neutral human ai: Rethinking data, computation, and learning paradigms for sustainable intelligence.

Explainable Novel Category Discovery in Semantic Concept Space Toward carbon-neutral human ai: Rethinking data, computation, and learning paradigms for sustainable intelligence

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation b5f917b2-06d8-4d7d-922a-4a5230bb8107 · outbound

This paper cites Expert-guided explainable few-shot learning with active sample selection for medical image analysis.IEEE Journal of Biomedical and Health Informatics, 2026.

Explainable Novel Category Discovery in Semantic Concept Space Expert-guided explainable few-shot learning with active sample selection for medical image analysis.IEEE Journal of Biomedical and Health Informatics, 2026

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation 49306655-8bde-42f5-b5c5-f80fa19d42e5 · outbound

This paper cites Acting flatterers via llms sycophancy: Combating clickbait with llms opposing-stance reasoning.

Explainable Novel Category Discovery in Semantic Concept Space Acting flatterers via llms sycophancy: Combating clickbait with llms opposing-stance reasoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation 5ae73e2f-97b3-4414-bf0d-8c6c827addaa · outbound

This paper cites Bridging symmetry and robustness: On the role of equivariance in enhancing adversarial robustness.

Explainable Novel Category Discovery in Semantic Concept Space Bridging symmetry and robustness: On the role of equivariance in enhancing adversarial robustness

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation d5717002-7fe8-472d-a072-5de8bf79474e · outbound

This paper cites Channel- selected stratified nested cross-validation for clinically relevant eeg-based parkinson’s disease detection.

Explainable Novel Category Discovery in Semantic Concept Space Channel- selected stratified nested cross-validation for clinically relevant eeg-based parkinson’s disease detection

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation 13c68e63-dfd2-4072-bc25-dff12292320c · outbound

This paper cites Winsor-cam: Human-tunable visual explanations from deep networks via layer-wise winsorization.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.

Explainable Novel Category Discovery in Semantic Concept Space Winsor-cam: Human-tunable visual explanations from deep networks via layer-wise winsorization.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae92c57-b411-467e-872a-64c670711e01 · outbound

This paper cites Promoting shape bias in cnns: Frequency-based and contrastive regularization for corruption robustness.

Explainable Novel Category Discovery in Semantic Concept Space Promoting shape bias in cnns: Frequency-based and contrastive regularization for corruption robustness

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Unavailable: canonical work link unavailable.

Observation 50677973-488d-40d3-8a22-3ceaa014c91a · outbound

This paper cites CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision.

Explainable Novel Category Discovery in Semantic Concept Space CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Unavailable: canonical work link unavailable.

Observation 94e6f9fc-ec30-4cf4-92d3-c95035df8fd4 · outbound

This paper cites Explainability-guided defense: Attribution-aware model refinement against adversarial data attacks.

Explainable Novel Category Discovery in Semantic Concept Space Explainability-guided defense: Attribution-aware model refinement against adversarial data attacks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47af18e9-fafe-4a86-bb0e-881644cdb482 · outbound

This paper cites A unified objective for novel class discovery.

Explainable Novel Category Discovery in Semantic Concept Space A unified objective for novel class discovery

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0878d05a-5bed-4829-926d-9bf135ebee01 · outbound

This paper cites Learning to discover novel visual categories via deep transfer clustering.

Explainable Novel Category Discovery in Semantic Concept Space Learning to discover novel visual categories via deep transfer clustering

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation ce3007ec-cb9f-4c97-a176-21063ab12c91 · outbound

This paper cites Semantic-guided novel category discovery.

Explainable Novel Category Discovery in Semantic Concept Space Semantic-guided novel category discovery

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation 0a0ad435-4793-428b-8c97-d1363d602958 · outbound

This paper cites Explaining deep neural networks and beyond: A review of methods and applications.Proceedings of the IEEE, 109(3):247–278, 2021.

Explainable Novel Category Discovery in Semantic Concept Space Explaining deep neural networks and beyond: A review of methods and applications.Proceedings of the IEEE, 109(3):247–278, 2021

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation 147828d2-4d0d-4f3b-9ccf-2be2d2216304 · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Nature machine intelligence, 1(5):206–215, 2019.

Explainable Novel Category Discovery in Semantic Concept Space Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Nature machine intelligence, 1(5):206–215, 2019

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a1eca2-e771-47da-b4ab-4d9142efb03b · outbound

This paper cites The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery.Queue, 16(3):31–57, 2018.

Explainable Novel Category Discovery in Semantic Concept Space The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery.Queue, 16(3):31–57, 2018

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58449357-20e4-410b-8da5-c25376d3dd27 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Explainable Novel Category Discovery in Semantic Concept Space Towards A Rigorous Science of Interpretable Machine Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ad279c-49eb-4228-88eb-a10a828b9bc9 · outbound

This paper cites Concept bottleneck models.

Explainable Novel Category Discovery in Semantic Concept Space Concept bottleneck models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4052bbc3-24c2-463a-b0f3-4ec7fb3030ec · outbound

This paper cites Post-hoc Concept Bottleneck Models.

Explainable Novel Category Discovery in Semantic Concept Space Post-hoc Concept Bottleneck Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ce804fd-db89-47c1-bbeb-84aa089c92e8 · outbound

This paper cites Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav).

Explainable Novel Category Discovery in Semantic Concept Space Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav)

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation c80316fe-566f-47fa-896f-951f9976c43e · outbound

This paper cites Label-Free Concept Bottleneck Models.

Explainable Novel Category Discovery in Semantic Concept Space Label-Free Concept Bottleneck Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e2299a-cb89-4f5c-8dcd-fcbf12d2896b · outbound

This paper cites Learning transferable visual models from natural language supervision.

Explainable Novel Category Discovery in Semantic Concept Space Learning transferable visual models from natural language supervision

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation c58bcafc-0345-4be3-8274-319e59172caf · outbound

This paper cites Learning to cluster in order to transfer across domains and tasks.

Explainable Novel Category Discovery in Semantic Concept Space Learning to cluster in order to transfer across domains and tasks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation 7e81aa53-d252-4253-bdd4-3ce4e8a42be9 · outbound

This paper cites Multi-class Classification without Multi-class Labels.

Explainable Novel Category Discovery in Semantic Concept Space Multi-class Classification without Multi-class Labels

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Unavailable: canonical work link unavailable.

Observation 809ca0bb-4d6a-4042-9b8f-e1318ad10dbb · outbound

This paper cites Automatically Discovering and Learning New Visual Categories with Ranking Statistics.

Explainable Novel Category Discovery in Semantic Concept Space Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 092c9630-b6d2-4ba4-be82-e499ea0016f6 · outbound

This paper cites Generalized category discovery.

Explainable Novel Category Discovery in Semantic Concept Space Generalized category discovery

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 090a4dd0-9bc5-40ba-9b5d-8de58affb49a · outbound

This paper cites Open-World Semi-Supervised Learning.

Explainable Novel Category Discovery in Semantic Concept Space Open-World Semi-Supervised Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a22d8ea-9308-4204-adc7-b2a0abffe4c4 · outbound

This paper cites Parametric classification for generalized category discovery: A baseline study.

Explainable Novel Category Discovery in Semantic Concept Space Parametric classification for generalized category discovery: A baseline study

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 570fb540-c18b-4ee6-9258-8693d70198d6 · outbound

This paper cites XCon: Learning with Experts for Fine-grained Category Discovery.

Explainable Novel Category Discovery in Semantic Concept Space XCon: Learning with Experts for Fine-grained Category Discovery

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d7a3df8-7383-4296-9d5a-f572148d4df1 · outbound

This paper cites Novel Class Discovery: an Introduction and Key Concepts.

Explainable Novel Category Discovery in Semantic Concept Space Novel Class Discovery: an Introduction and Key Concepts

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49515849-ef5b-463a-8dd9-b82193321d81 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.Advances in neural information processing systems, 33:9912–9924, 2020.

Explainable Novel Category Discovery in Semantic Concept Space Unsupervised learning of visual features by contrasting cluster assignments.Advances in neural information processing systems, 33:9912–9924, 2020

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1fc263-a243-4315-99d9-3962dd80f4e7 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information processing systems, 26, 2013.

Explainable Novel Category Discovery in Semantic Concept Space Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information processing systems, 26, 2013

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ba6271c-62af-4ed2-996f-7c44578a915d · outbound

This paper cites Learning multiple layers of features from tiny images.

Explainable Novel Category Discovery in Semantic Concept Space Learning multiple layers of features from tiny images

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Unavailable: canonical work link unavailable.

Observation f8e6d62d-6341-4543-b9f1-d63983e0751d · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Explainable Novel Category Discovery in Semantic Concept Space The caltech-ucsd birds-200-2011 dataset

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation 30d85295-9d9c-4416-be60-a9b80425f496 · outbound

This paper cites The hungarian method for the assignment problem.Naval research logistics quarterly, 2(1-2):83–97, 1955.

Explainable Novel Category Discovery in Semantic Concept Space The hungarian method for the assignment problem.Naval research logistics quarterly, 2(1-2):83–97, 1955

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation 1a0755a6-ce93-4f67-9fc4-47726825bc06 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Explainable Novel Category Discovery in Semantic Concept Space Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

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Observation bb3b109d-39f4-4936-8bea-5b95d5ea3b7d · outbound

This paper cites CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks.

Explainable Novel Category Discovery in Semantic Concept Space CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3798dd15-32f4-4a08-83c2-bd43284c5e00 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Explainable Novel Category Discovery in Semantic Concept Space A simple framework for contrastive learning of visual representations

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation 09c85a78-e012-4423-b811-b89f21874ff4 · outbound

This paper cites Self-labelling via simultaneous clustering and representation learning.

Explainable Novel Category Discovery in Semantic Concept Space Self-labelling via simultaneous clustering and representation learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Observation 0d482908-aa2f-4d5d-97c2-e4c2af97bca7 · outbound

This paper cites The national research platform: Stretched, multi-tenant, scientific kubernetes cluster.

Explainable Novel Category Discovery in Semantic Concept Space The national research platform: Stretched, multi-tenant, scientific kubernetes cluster

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Unavailable: canonical work link unavailable.

Observation c744fde3-0959-4648-b578-9b583e4fa4d3 · outbound

This paper cites four-legged,.

Explainable Novel Category Discovery in Semantic Concept Space four-legged,

Reference 56

Resolution: malformed identifier; no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9a71bb1-54b1-4e67-8fb6-1794d9878b83 · outbound

This paper cites an unresolved cited work.

Explainable Novel Category Discovery in Semantic Concept Space Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-11T17:32:24.547251Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3f7316e9-23d0-4705-8d60-c92248144aa0 · inbound

Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks cites this paper.

Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Explainable Novel Category Discovery in Semantic Concept Space

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T12:21:53.252138Z

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Observation 5e0d7a4c-b915-49b8-803f-988056107507 · inbound

Grad-CAM for Vision Transformers: A Systematic Taxonomy and Audit of Methodological Ambiguity in Explainable AI cites this paper.

Grad-CAM for Vision Transformers: A Systematic Taxonomy and Audit of Methodological Ambiguity in Explainable AI Explainable Novel Category Discovery in Semantic Concept Space

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:59:12.233533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.