Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T23:42:40.542923Z
Paper Citation Record · LEDGER
Converge to Surprise: Evolutionary Self-supervised Image Clustering
As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.06887.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
- verified exact10
- verified fuzzy36
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 585975c8-13f0-4427-aec5-3eb3c3a8a535 · outbound
This paper cites A review on deep convolutional neural networks.
Converge to Surprise: Evolutionary Self-supervised Image Clustering A review on deep convolutional neural networks
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.761633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1ace1ad9-8243-497b-94ba-d7674cd1311d · outbound
This paper cites Self-supervised learn- ing from images with a joint-embedding predictive architecture.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Self-supervised learn- ing from images with a joint-embedding predictive architecture
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.755294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 36f0add4-dd7e-4ab0-81b1-d09d383abc1a · outbound
This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.
Converge to Surprise: Evolutionary Self-supervised Image Clustering VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:46:37.391467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 744e827e-1bdf-4877-90d8-8cdf27563d21 · outbound
This paper cites Batina, B.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Batina, B
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.759374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6df8a281-21bc-4f19-a648-4c238b22d451 · outbound
This paper cites An intuitive proof of the data processing inequality.
Converge to Surprise: Evolutionary Self-supervised Image Clustering An intuitive proof of the data processing inequality
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:46:37.392426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 490b4833-1656-4eb1-b38a-7a257b50c0d4 · outbound
This paper cites Mirrored sampling and sequential selection for evolution strategies.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Mirrored sampling and sequential selection for evolution strategies
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.753675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dffd6b6c-03a9-4019-8455-c139a2e5350f · outbound
This paper cites Deep clustering for unsupervised learning of visual features.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Deep clustering for unsupervised learning of visual features
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.746412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c88a6769-1fc3-43c7-9031-0c0d47c2e20e · outbound
This paper cites Un- supervised learning of visual features by contrasting cluster assignments.Advances in neural information processing systems, 33:9912–9924, 2020.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Un- supervised learning of visual features by contrasting cluster assignments.Advances in neural information processing systems, 33:9912–9924, 2020
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.748196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 118c9d89-45c6-4b3a-9b69-2ee721f2b2a5 · outbound
This paper cites Emerging properties in self-supervised vision transformers.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Emerging properties in self-supervised vision transformers
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.780471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 053de33d-09f0-4c02-bc71-b623469d03f9 · outbound
This paper cites Deep adaptive image clustering.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Deep adaptive image clustering
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.782122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b181857c-638b-4dcf-b669-dad16fc395b3 · outbound
This paper cites A simple framework for con- trastive learning of visual representations.
Converge to Surprise: Evolutionary Self-supervised Image Clustering A simple framework for con- trastive learning of visual representations
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.773233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bfd1232b-57ac-4428-a3c3-bc83639a4217 · outbound
This paper cites John Wiley & Sons, 1999.
Converge to Surprise: Evolutionary Self-supervised Image Clustering John Wiley & Sons, 1999
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.770924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 48580b42-a8ce-4635-ac92-78affc80b28b · outbound
This paper cites an unresolved cited work.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T23:46:37.774843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e45fc026-5553-4416-801c-2cb7d71e1b80 · outbound
This paper cites Unsupervised visual representation learning by con- text prediction.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Unsupervised visual representation learning by con- text prediction
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.767370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5b66f62d-25c8-4c94-9700-5e7025ee7f31 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Converge to Surprise: Evolutionary Self-supervised Image Clustering An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:46:37.393870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 39b546b8-d96e-420d-b029-ef5f3dd31c36 · outbound
This paper cites A density-based algorithm for dis- covering clusters in large spatial databases with noise.
Converge to Surprise: Evolutionary Self-supervised Image Clustering A density-based algorithm for dis- covering clusters in large spatial databases with noise
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.769101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e185d385-2a84-4a4f-9b4d-5da6ead72e99 · outbound
This paper cites Deep k-means: Jointly clustering with k- means and learning representations.Pattern Recogni- tion Letters, 138:185–192, 2020.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Deep k-means: Jointly clustering with k- means and learning representations.Pattern Recogni- tion Letters, 138:185–192, 2020
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.776918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9e627926-8d5f-4478-afe3-0751446e9f7a · outbound
This paper cites An introduction to probability theory and its applications.Third edition.
Converge to Surprise: Evolutionary Self-supervised Image Clustering An introduction to probability theory and its applications.Third edition
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.783778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8d9b9ab5-7997-4e8b-bcc6-0a33fe7c264b · outbound
This paper cites John Wiley & Sons,.
Converge to Surprise: Evolutionary Self-supervised Image Clustering John Wiley & Sons,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.785724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b81c500f-4512-415d-9774-f307ed97b80a · outbound
This paper cites Unsupervised Representation Learning by Predicting Image Rotations.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Unsupervised Representation Learning by Predicting Image Rotations
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:46:37.390163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3008d0ab-b625-42a3-a66b-1fd0dcb906bb · outbound
This paper cites Bootstrap your own latent-a new approach to self- supervised learning.Advances in neural information processing systems, 33:21271–21284, 2020.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Bootstrap your own latent-a new approach to self- supervised learning.Advances in neural information processing systems, 33:21271–21284, 2020
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.763515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f540fa75-b9d6-442b-8166-bc5724e6de42 · outbound
This paper cites Guiasu and A.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Guiasu and A
Reference 22
- Resolution
- verified exact
- doi, observed 2026-07-09T23:46:37.197460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2fd0ed61-9c75-4337-a12c-0a941e6f56ce · outbound
This paper cites Deep residual learning for image recognition.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Deep residual learning for image recognition
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.722674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5567e9a1-79de-468d-9189-dcaa55643e9e · outbound
This paper cites Momentum contrast for unsupervised visual representation learning.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Momentum contrast for unsupervised visual representation learning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.725086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 22139adf-31b3-4753-b4be-7c793295e43a · outbound
This paper cites Masked autoencoders are scalable vision learners.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Masked autoencoders are scalable vision learners
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.778698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation abe67c4e-5cb8-4d7e-b6a6-25f5babff427 · outbound
This paper cites Learning deep representations by mutual information estimation and maximization.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Learning deep representations by mutual information estimation and maximization
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:46:37.382058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c133c96f-4460-43e4-9541-0266dc458c67 · outbound
This paper cites Memoized on- line variational inference for dirichlet process mixture models.Advances in neural information processing systems, 26, 2013.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Memoized on- line variational inference for dirichlet process mixture models.Advances in neural information processing systems, 26, 2013
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.761624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ecf8c3ea-30c5-440b-88f1-63fe74a17dc8 · outbound
This paper cites an unresolved cited work.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T23:46:37.765425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 934b2d43-a114-4a60-b0e8-80a4f5996347 · outbound
This paper cites In- variant information clustering for unsupervised image classification and segmentation.
Converge to Surprise: Evolutionary Self-supervised Image Clustering In- variant information clustering for unsupervised image classification and segmentation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.787405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 43db5547-a711-4f86-8f63-8ff28b4e7dcc · outbound
This paper cites The hungarian method for the as- signment problem.Naval research logistics quarterly, 2(1-2):83–97, 1955.
Converge to Surprise: Evolutionary Self-supervised Image Clustering The hungarian method for the as- signment problem.Naval research logistics quarterly, 2(1-2):83–97, 1955
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.755749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 35ec9748-c385-41c3-a383-8e35ef76af83 · outbound
This paper cites Dying clusters is all you need-deep clustering with an unknown number of clusters.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Dying clusters is all you need-deep clustering with an unknown number of clusters
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.752212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8b55455d-88c4-4896-a0d9-c27b7ad1c618 · outbound
This paper cites Deep dirichlet process mixture models.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Deep dirichlet process mixture models
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.748624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ab55e774-a025-49a3-a1e9-9bbd150e630e · outbound
This paper cites Introduction to gaussian pro- cesses.NATO ASI series F computer and systems sci- ences, 168:133–166, 1998.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Introduction to gaussian pro- cesses.NATO ASI series F computer and systems sci- ences, 168:133–166, 1998
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.727289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 41dc9351-1ada-4631-83cd-c407ba15c792 · outbound
This paper cites Cross- entropy loss functions: Theoretical analysis and ap- plications.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Cross- entropy loss functions: Theoretical analysis and ap- plications
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.744770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dcb9ec9c-0f7c-4208-8fd3-a67909a7eddb · outbound
This paper cites Indicator functions for adaptive image processing.Journal of the Optical So- ciety of America A, 8(1):141–156, 1991.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Indicator functions for adaptive image processing.Journal of the Optical So- ciety of America A, 8(1):141–156, 1991
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.746778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 14197999-2796-4f16-9a0c-e0df490d1d71 · outbound
This paper cites K-nearest neighbor classification.
Converge to Surprise: Evolutionary Self-supervised Image Clustering K-nearest neighbor classification
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.750476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cb554ded-bdc9-4dc3-97b4-80fecbbf2297 · outbound
This paper cites Unsupervised learning of visual representations by solving jigsaw puzzles.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Unsupervised learning of visual representations by solving jigsaw puzzles
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.757864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ba9cf81e-668f-4cbc-be7c-15998b25eedb · outbound
This paper cites The Effectiveness of Data Augmentation in Image Classification using Deep Learning.
Converge to Surprise: Evolutionary Self-supervised Image Clustering The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:46:37.399440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 65bdfae0-ffd7-44ff-bc31-de8401192223 · outbound
This paper cites Mul- tilayer perceptron and neural networks.WSEAS trans- actions on circuits and systems, 8(7):579–588, 2009.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Mul- tilayer perceptron and neural networks.WSEAS trans- actions on circuits and systems, 8(7):579–588, 2009
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.738991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation efa5f295-6c60-4fbe-8189-36fb9e1da0cf · outbound
This paper cites Deepdpm: Deep clustering with an unknown number of clusters.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Deepdpm: Deep clustering with an unknown number of clusters
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.740861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 617f4694-38fa-4db8-96e9-1e1414e45544 · outbound
This paper cites an unresolved cited work.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T23:46:37.742723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4bf7af4d-8184-4622-931f-63e78e4a5f87 · outbound
This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:46:37.373327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 60b27374-8880-4822-89d2-cbcea4669065 · outbound
This paper cites A mathematical theory of communication.The Bell system technical journal, 27 (3):379–423, 1948.
Converge to Surprise: Evolutionary Self-supervised Image Clustering A mathematical theory of communication.The Bell system technical journal, 27 (3):379–423, 1948
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.759796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ecf32a77-f137-4a1b-8178-b98e025b90e7 · outbound
This paper cites Notes on Kullback-Leibler Divergence and Likelihood.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Notes on Kullback-Leibler Divergence and Likelihood
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:46:37.384959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3bbb36be-2f3b-421b-8649-2bced5535520 · outbound
This paper cites Natural evolution strategies.The Journal of Machine Learn- ing Research, 15(1):949–980, 2014.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Natural evolution strategies.The Journal of Machine Learn- ing Research, 15(1):949–980, 2014
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.753975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d584ddc7-c8af-4d75-a272-7b421cf31e65 · outbound
This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:46:37.394808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3ae0d39b-ebb5-4f25-9994-762870d54af0 · outbound
This paper cites Unsu- pervised deep embedding for clustering analysis.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Unsu- pervised deep embedding for clustering analysis
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.763940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0d9c0c99-9ac4-4890-9471-9128d1650f18 · outbound
This paper cites Towards k-means-friendly spaces: Si- multaneous deep learning and clustering.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Towards k-means-friendly spaces: Si- multaneous deep learning and clustering
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.734225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0b401416-6ba7-4b77-8d25-091483c951e1 · outbound
This paper cites Clusterk, digitp.
Converge to Surprise: Evolutionary Self-supervised Image Clustering Clusterk, digitp
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T23:46:37.731670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.