Paper Citation Record · LEDGER

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization

As of 14 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2412.17647.

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

pith.paper-citation-record.v1
2412.17647 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:22:21.718218Z

measured 43 of 43 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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verified fuzzy30
unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e085d31-7f99-41d9-84cc-f47031710d08 · outbound

This paper cites Generalized uncertainty-based evidential fusion with hybrid multi- head attention for weak-supervised temporal action localization.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Generalized uncertainty-based evidential fusion with hybrid multi- head attention for weak-supervised temporal action localization

Reference 1

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Observation 9ac15aa9-bf82-417e-b692-edd2cbec3046 · outbound

This paper cites Multiview subspace clustering by an enhanced tensor nuclear norm.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Multiview subspace clustering by an enhanced tensor nuclear norm

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.362816Z

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Observation a3f22103-e934-4ba5-82d3-1c43d5157fa9 · outbound

This paper cites A survey on incomplete multiview clustering.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization A survey on incomplete multiview clustering

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.347904Z

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

Observation 7ee1d672-79ba-4d48-aff6-4bdca0212e77 · outbound

This paper cites Highly confident local structure based consensus graph learning for incomplete multi-view clustering.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Highly confident local structure based consensus graph learning for incomplete multi-view clustering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.333560Z

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Observation 8793bcd1-eb27-4c6c-8e7a-bc8b6303fcef · outbound

This paper cites Multi- view subspace clustering.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Multi- view subspace clustering

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.318545Z

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.

Observation 23e1691e-2175-46f3-910c-2a21437c3d3e · outbound

This paper cites Multiview spectral clustering via structured low-rank matrix factorization.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Multiview spectral clustering via structured low-rank matrix factorization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.300423Z

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

Observation 7877cd31-0e2d-434a-8275-07021ab23029 · outbound

This paper cites Analyzing the effectiveness and applicability of co-training.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Analyzing the effectiveness and applicability of co-training

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.287174Z

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Observation 13ce2dff-22d4-48f5-a393-c41e8662ce5f · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Representation Learning with Contrastive Predictive Coding

Reference 8

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Observation ab9e2c49-ec38-42fe-a142-496e31973e33 · outbound

This paper cites A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions

Reference 9

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Observation 7a28d863-96d4-47ee-b70f-9b08c1ee8b46 · outbound

This paper cites Deep safe multi-view clustering: Reducing the risk of clustering performance degradation caused by view increase.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Deep safe multi-view clustering: Reducing the risk of clustering performance degradation caused by view increase

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.272351Z

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.

Observation 16a363b9-1005-4916-99ff-d43af8aafd1b · outbound

This paper cites Deep safe incomplete multi-view clustering: Theorem and algorithm.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Deep safe incomplete multi-view clustering: Theorem and algorithm

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.258324Z

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.

Observation f27e44f0-26dc-488b-a981-ded13d94e9a9 · outbound

This paper cites Mmget: a markov model for generalized evidence theory.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Mmget: a markov model for generalized evidence theory

Reference 12

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Source-reported events for the cited work

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Observation a06c8564-2f02-44ff-94ec-d0db9922a320 · outbound

This paper cites Tdqmf: Two-dimensional quantum mass function.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Tdqmf: Two-dimensional quantum mass function

Reference 13

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Source-reported events for the cited work

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Observation 1bce976e-7e56-4dcd-8466-b80d21e97a18 · outbound

This paper cites Conflicting management of evidence combination from the point of improvement of basic probability assign- ment.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Conflicting management of evidence combination from the point of improvement of basic probability assign- ment

Reference 14

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Source-reported events for the cited work

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Observation 25a607a6-ff91-4e7a-961b-f970157dae84 · outbound

This paper cites Spatio-temporal variability analysis of vege- tation dynamics in china from 2000 to 2022 based on leaf area index: A multi-temporal image classification perspective.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Spatio-temporal variability analysis of vege- tation dynamics in china from 2000 to 2022 based on leaf area index: A multi-temporal image classification perspective

Reference 15

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Observation 865f48da-d1de-4c22-9056-a925c969eaf3 · outbound

This paper cites A new base function in basic probability assignment for conflict management.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization A new base function in basic probability assignment for conflict management

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T05:22:21.592366Z

Source-reported events for the cited work

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Observation 8aa31c12-fe3b-4473-a08a-a679f6bc4673 · outbound

This paper cites Nndf: A new neural detection net- work for aspect-category sentiment analysis.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Nndf: A new neural detection net- work for aspect-category sentiment analysis

Reference 17

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Source-reported events for the cited work

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Observation 959091d4-c1be-4b3b-8677-17641280ac42 · outbound

This paper cites A Matrix-based Distance of Pythagorean Fuzzy Set and its Application in Medical Diagnosis.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization A Matrix-based Distance of Pythagorean Fuzzy Set and its Application in Medical Diagnosis

Reference 18

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Observation b0c1a4e4-368a-429e-beaf-da15c6ef14ec · outbound

This paper cites One pass late fusion multi-view clustering.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization One pass late fusion multi-view clustering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.186080Z

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Observation 0a9d0e28-7f42-48bb-9586-3ffe136b93cd · outbound

This paper cites Multi-view clustering via late fusion alignment maximization.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Multi-view clustering via late fusion alignment maximization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.172165Z

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.

Observation 30c856d4-c62e-4af0-a957-47ac3866f99b · outbound

This paper cites Residual feature-reutilization inception network.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Residual feature-reutilization inception network

Reference 21

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Source-reported events for the cited work

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Observation c9f5d38b-cc83-43f3-8ce3-ab03f65fddb8 · outbound

This paper cites Generalized latent multi-view subspace clustering.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Generalized latent multi-view subspace clustering

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.153195Z

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.

Observation 15fc4d7c-41f8-4aea-8ca3-3ae04ddd3651 · outbound

This paper cites Late fusion incomplete multi-view clustering.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Late fusion incomplete multi-view clustering

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.142371Z

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.

Observation e8e5de65-0343-43b0-86f5-aacf9ae62df8 · outbound

This paper cites Contrastive multi-view kernel learning.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Contrastive multi-view kernel learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.130005Z

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.

Observation 64ae3ce7-dd84-4d1f-9779-b6ca53a4f2ad · outbound

This paper cites Unified one-step multi-view spectral clustering.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Unified one-step multi-view spectral clustering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.117286Z

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.

Observation 6cf34dbf-1602-43de-8e85-cd3efd9449e5 · outbound

This paper cites Iterative views agreement: An iterative low-rank based structured optimization method to multi-view spectral clustering.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Iterative views agreement: An iterative low-rank based structured optimization method to multi-view spectral clustering

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.101769Z

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.

Observation b2b6c83c-2513-4a37-b8e1-f839a42b0067 · outbound

This paper cites Parameter-free auto-weighted multiple graph learning: A framework for multiview clustering and semi- supervised classification.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Parameter-free auto-weighted multiple graph learning: A framework for multiview clustering and semi- supervised classification

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.088310Z

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.

Observation da9cbd17-4e6c-4c94-ba20-9a9c2c55454b · outbound

This paper cites Deep incomplete multi-view clustering with cross-view partial sample and prototype alignment.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Deep incomplete multi-view clustering with cross-view partial sample and prototype alignment

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.072007Z

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.

Observation 218128bd-f90a-4c7a-969c-09251e6e7ee3 · outbound

This paper cites End-to-end adversarial-attention network for multi-modal clustering.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization End-to-end adversarial-attention network for multi-modal clustering

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.057997Z

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.

Observation a85b2a35-8157-4ab6-a874-75b4075966d2 · outbound

This paper cites A multi-view ensemble clustering approach using joint entropy.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization A multi-view ensemble clustering approach using joint entropy

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.042783Z

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

Observation e0aee0e0-d26e-4ec5-9248-0e9b856a7fee · outbound

This paper cites Ordinal belief entropy.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Ordinal belief entropy

Reference 31

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Source-reported events for the cited work

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Observation 82dc75f3-1010-492a-a295-7e31441dd53c · outbound

This paper cites Entropy-based multi-view matrix completion for clustering with side information.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Entropy-based multi-view matrix completion for clustering with side information

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:22.014499Z

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.

Observation 9d827995-37fd-4606-91c6-343052eae02e · outbound

This paper cites Entropy weighting based centralized multi-view fuzzy clustering: A case study on brain MR image segmentation.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Entropy weighting based centralized multi-view fuzzy clustering: A case study on brain MR image segmentation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:21.992018Z

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.

Observation 36f3c844-4622-4e97-9ff5-2c6f1b226a69 · outbound

This paper cites Robustness meets low-rankness: Unified entropy and tensor learning for multi-view subspace clustering.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Robustness meets low-rankness: Unified entropy and tensor learning for multi-view subspace clustering

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:21.967965Z

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.

Observation 17b322af-d9d6-4a30-89f6-58c6f75cb7a1 · outbound

This paper cites Ordinal fuzzy entropy.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Ordinal fuzzy entropy

Reference 35

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Source-reported events for the cited work

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Observation 81d88570-d488-4196-b033-5b226efee4ce · outbound

This paper cites Generative partial multi-view clustering with adaptive fusion and cycle consistency.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Generative partial multi-view clustering with adaptive fusion and cycle consistency

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:21.943800Z

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.

Observation 3c1781e1-958b-4a8f-934a-38e40cc0edcb · outbound

This paper cites Dimc-net: Deep incomplete multi-view clustering network.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Dimc-net: Deep incomplete multi-view clustering network

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:21.929926Z

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.

Observation 1ec10601-edd5-4367-9983-002b4375c96a · outbound

This paper cites Joint deep multi- view learning for image clustering.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Joint deep multi- view learning for image clustering

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:21.915988Z

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.

Observation 176e7100-1cc8-4456-913e-25c92939c996 · outbound

This paper cites Yu, and Lifang He.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Yu, and Lifang He

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:21.898006Z

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.

Observation befe5a61-5d0e-4816-9ea3-68858d9a2d73 · outbound

This paper cites Girshick, and Ali Farhadi.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Girshick, and Ali Farhadi

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:21.880463Z

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.

Observation 2c6f21c1-ab1c-4739-a090-9556e353a67d · outbound

This paper cites Trosten, Sigurd Løkse, Robert Jenssen, and Michael Kampffmeyer.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Trosten, Sigurd Løkse, Robert Jenssen, and Michael Kampffmeyer

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:21.863317Z

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.

Observation e9a369f5-7e41-48fd-82eb-7d559bd5a381 · outbound

This paper cites Deep incomplete multi-view clustering via mining cluster complementarity.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Deep incomplete multi-view clustering via mining cluster complementarity

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:21.846563Z

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.

Observation 1ae4cc84-9fff-4f1d-8c26-4b08f7e7e368 · outbound

This paper cites Investigating and mitigating the side effects of noisy views for self-supervised clustering algorithms in practical multi-view scenarios.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization Investigating and mitigating the side effects of noisy views for self-supervised clustering algorithms in practical multi-view scenarios

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:22:21.815840Z

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.

Pith citing papers

No inbound Pith citation observations are available.