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Paper Citation Record · LEDGER

Trusted Mamba Contrastive Network for Multi-View Clustering

As of 15 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2412.16487.

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

pith.paper-citation-record.v1
2412.16487 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:35:24.925624Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T18:52:19.609038Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T18:53:38.814034Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 689889f3-09f6-40fa-a676-a5b1be9ded62 · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers,.

Trusted Mamba Contrastive Network for Multi-View Clustering End-to-end autonomous driving: Challenges and frontiers,

Reference 1

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unresolved
no resolver link, observed 2026-08-11T10:35:24.833810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1c0c4039-a940-45f2-9480-bed3db2661e0 · outbound

This paper cites Dpnet: Dynamic poly-attention network for trustworthy multi-modal classification,.

Trusted Mamba Contrastive Network for Multi-View Clustering Dpnet: Dynamic poly-attention network for trustworthy multi-modal classification,

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 46ea7440-7df1-4c5f-a57a-d648f5bb58ca · outbound

This paper cites A survey on multiview clustering,.

Trusted Mamba Contrastive Network for Multi-View Clustering A survey on multiview clustering,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dd780bc5-d4b9-4b59-b806-e2f57826a6f8 · outbound

This paper cites Inclusivity induced adaptive graph learning for multi-view clustering,.

Trusted Mamba Contrastive Network for Multi-View Clustering Inclusivity induced adaptive graph learning for multi-view clustering,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e97d09a8-af62-4f82-98a6-14b84b8fd777 · outbound

This paper cites Dual alignment feature embedding network for multi-omics data clustering,.

Trusted Mamba Contrastive Network for Multi-View Clustering Dual alignment feature embedding network for multi-omics data clustering,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 08658177-7522-480d-ba4e-74ae67f9d3c9 · outbound

This paper cites Trustworthy multi-view clustering via alternating generative adversarial representa- tion learning and fusion,.

Trusted Mamba Contrastive Network for Multi-View Clustering Trustworthy multi-view clustering via alternating generative adversarial representa- tion learning and fusion,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c1b129c5-9e86-49bb-bab5-130cc36fde76 · outbound

This paper cites Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.

Trusted Mamba Contrastive Network for Multi-View Clustering Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4fa617f5-d703-48e8-9cee-f2f8c3125816 · outbound

This paper cites Multispectral object detection via cross-modal conflict-aware learning,.

Trusted Mamba Contrastive Network for Multi-View Clustering Multispectral object detection via cross-modal conflict-aware learning,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 02ddf72b-e574-44e8-885a-7bf47bc4e56d · outbound

This paper cites Hstrans: Homogeneous substructures transformer for predicting frequencies of drug-side effects,.

Trusted Mamba Contrastive Network for Multi-View Clustering Hstrans: Homogeneous substructures transformer for predicting frequencies of drug-side effects,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7ecf427d-b67b-4344-8473-ca8a7122afda · outbound

This paper cites Dai-net: Dual adaptive interaction network for coordinated medication recom- mendation,.

Trusted Mamba Contrastive Network for Multi-View Clustering Dai-net: Dual adaptive interaction network for coordinated medication recom- mendation,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2b8c7330-d7d6-4021-8fab-fdbef39bb1d7 · outbound

This paper cites Hierarchical attention learning for multimodal classification,.

Trusted Mamba Contrastive Network for Multi-View Clustering Hierarchical attention learning for multimodal classification,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e66b5b55-0002-4cb9-9fe8-5fce694b4094 · outbound

This paper cites Deep metric multi-view hashing for multimedia retrieval,.

Trusted Mamba Contrastive Network for Multi-View Clustering Deep metric multi-view hashing for multimedia retrieval,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c0e5ec81-f1d8-4412-a09e-ccb39c28ee76 · outbound

This paper cites Fast metric multi-view hashing for multimedia retrieval,.

Trusted Mamba Contrastive Network for Multi-View Clustering Fast metric multi-view hashing for multimedia retrieval,

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ee877266-ab8b-4bd8-bf57-4c4ea13f9a7e · outbound

This paper cites Adaptive confidence multi-view hashing for multimedia retrieval,.

Trusted Mamba Contrastive Network for Multi-View Clustering Adaptive confidence multi-view hashing for multimedia retrieval,

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a97a066f-be3a-4a75-ba26-9b1db6f11aa4 · outbound

This paper cites Central similarity multi-view hashing for multimedia retrieval,.

Trusted Mamba Contrastive Network for Multi-View Clustering Central similarity multi-view hashing for multimedia retrieval,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 80322799-c61b-422d-9169-1529d25e24f4 · outbound

This paper cites Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models.

Trusted Mamba Contrastive Network for Multi-View Clustering Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6cbe7ab0-e23c-4293-9d70-76ce536aa32e · outbound

This paper cites Boosted curriculum multi-view hashing for multimedia retrieval,.

Trusted Mamba Contrastive Network for Multi-View Clustering Boosted curriculum multi-view hashing for multimedia retrieval,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 25239c49-0ad2-4473-b255-3b5eb566dde1 · outbound

This paper cites Deep multiple auto- encoder-based multi-view clustering,.

Trusted Mamba Contrastive Network for Multi-View Clustering Deep multiple auto- encoder-based multi-view clustering,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4570144c-18a0-4601-98c0-7b2a6eb480c6 · outbound

This paper cites Deep multimodal subspace clustering networks,.

Trusted Mamba Contrastive Network for Multi-View Clustering Deep multimodal subspace clustering networks,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b3b5a66b-7371-45de-800d-3099e5a9f4c3 · outbound

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

Trusted Mamba Contrastive Network for Multi-View Clustering End-to-end adversarial-attention network for multi-modal clustering,

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0d90c11b-b629-43ef-9b1a-a7cae9cfbaa9 · outbound

This paper cites Deep embedded multi- view clustering with collaborative training,.

Trusted Mamba Contrastive Network for Multi-View Clustering Deep embedded multi- view clustering with collaborative training,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3d4c1832-5fdb-45ae-bc36-f3aaf8116767 · outbound

This paper cites Reconsider- ing representation alignment for multi-view clustering,.

Trusted Mamba Contrastive Network for Multi-View Clustering Reconsider- ing representation alignment for multi-view clustering,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 794873e8-b508-40dc-8549-6f3bb68d2ac9 · outbound

This paper cites Multi-level feature learning for contrastive multi-view clustering,.

Trusted Mamba Contrastive Network for Multi-View Clustering Multi-level feature learning for contrastive multi-view clustering,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 512519a0-776b-4217-9eca-b07b37e203d7 · outbound

This paper cites Approximating the kullback leibler di- vergence between gaussian mixture models,.

Trusted Mamba Contrastive Network for Multi-View Clustering Approximating the kullback leibler di- vergence between gaussian mixture models,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 748c1eb1-0119-447a-b26e-d6e12026a7b4 · outbound

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

Trusted Mamba Contrastive Network for Multi-View Clustering Deep safe incomplete multi-view clustering: Theorem and algorithm,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0df5d2c3-f77a-4c37-be5b-eb087c4b73f9 · outbound

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

Trusted Mamba Contrastive Network for Multi-View Clustering Deep incomplete multi-view clustering via mining cluster complementarity,

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 85b8734f-0b93-4174-bff0-0670aa3186e8 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Trusted Mamba Contrastive Network for Multi-View Clustering Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 27

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2a1a9ab8-d279-42c4-8cf1-924a7eae5485 · outbound

This paper cites Self- supervised video hashing with hierarchical binary auto-encoder,.

Trusted Mamba Contrastive Network for Multi-View Clustering Self- supervised video hashing with hierarchical binary auto-encoder,

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 52af0285-1701-4950-a54b-d49d839104da · outbound

This paper cites Reducing the dimensionality of data with neural networks,.

Trusted Mamba Contrastive Network for Multi-View Clustering Reducing the dimensionality of data with neural networks,

Reference 29

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unresolved
no resolver link, observed 2026-08-11T10:35:24.912965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 255a2148-7317-4743-97b2-0badfbaf5889 · outbound

This paper cites Gcfagg: Global and cross-view feature aggregation for multi-view clustering,.

Trusted Mamba Contrastive Network for Multi-View Clustering Gcfagg: Global and cross-view feature aggregation for multi-view clustering,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:24.979386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation deb109ce-3d5b-4463-b457-30fe28eacbee · outbound

This paper cites an unresolved cited work.

Trusted Mamba Contrastive Network for Multi-View Clustering Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c8de1f91-150e-40d8-a007-05fe21726714 · outbound

This paper cites k-Means Clustering Is Matrix Factorization.

Trusted Mamba Contrastive Network for Multi-View Clustering k-Means Clustering Is Matrix Factorization

Reference 32

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86ed4b0e-e6fd-448e-b795-b9180f45a762 · outbound

This paper cites Visualizing data using t-sne.

Trusted Mamba Contrastive Network for Multi-View Clustering Visualizing data using t-sne

Reference 33

Resolution
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no resolver link, observed 2026-08-11T10:35:24.925624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:35:24.925624Z digest=sha256:dd8fd294f21530e40a2dbeaf13ef55329a850071d53211b78302d56c8a57ae71

Pith citing papers

Observation e1f02bae-4801-49f3-af1e-49e2a63eacaf · inbound

Learning Disentangled Representations for Generalized Multi-view Clustering cites this paper.

Learning Disentangled Representations for Generalized Multi-view Clustering Trusted Mamba Contrastive Network for Multi-View Clustering

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:53:38.815792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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