Pith. sign in

Paper Citation Record · LEDGER

Trusted Mamba Contrastive Network for Multi-View Clustering

As of 16 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 2026-08-16T06:30:59.297886+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
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:35:24.833810Z digest=sha256:009b523a905a99115188b94ba617e9c3ab04d41bd40d278f6b71d5b1c0cf1637

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.155028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.836962Z digest=sha256:5eb9ce2d5584cb49ae04c5af7b8136c5dea97919103a86308c0b41de8369b1ee

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.148172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.840232Z digest=sha256:e61d872e06d9fd49e7d784c1d14301c9bd1cd80661b7285be2a84a1bba649659

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.141825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.842763Z digest=sha256:79ccf9680f077212ba69b42e8d6118f770ed454df2a6a5e10388b03561501ac4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.135171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.846053Z digest=sha256:4d5b938eaa363d373344139381ec29afd5d72537bfe5b388a3698110d3e18dd6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.128364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.849898Z digest=sha256:c400c158c9b78a757365b78bfd29a20107b2955a5b96a1bcb5c942d163e68061

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

Resolution
unresolved
no resolver link, observed 2026-08-11T10:35:24.852673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:35:24.852673Z digest=sha256:0af9a50862bb6ce38469c096d51733c0d2985fae2e8d12269aafa6b491aeb39f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.122485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.856152Z digest=sha256:767e0baf26652367afc9dba73ed79b9f56ab5b8c86be2cc6afa03cabe4c3ec56

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.116685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.859771Z digest=sha256:27ed03d5c3d13a0f7c5e2c1ad90c98d2962517e847e15315b1434edd64d3639e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.110442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.862801Z digest=sha256:c3e773577d4cb4719f18cb304b5605b14618310f83fd47b57948e5ac8ffd86d5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.103274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.865591Z digest=sha256:ea2959fde883bff88716aa0d24be5270965fe458130ab091c97409533a4fc4e4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.095468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.868150Z digest=sha256:5157cab0685019a3955bb56fb0f1aec33ff1e6ad34cf5dd23458b6b4acdcd176

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.089285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.870490Z digest=sha256:1a2b2afc953ee797c99a756602fc780cd99bda840ba6b3212155c0e91367ce47

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.080983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.872428Z digest=sha256:32b8ca3cd770a30cb3beef3cf2a6c98baaea5952e51c0499c0a3b509b2c28cc5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.073681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.874623Z digest=sha256:ad79368eef9106c140d32de384e0221c43fbbb5bf6a80b6993efa374c6b6a3b5

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

Resolution
unresolved
no resolver link, observed 2026-08-11T10:35:24.876753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:35:24.876753Z digest=sha256:92c0c5aa6bfb887ab60078440702d70eb64228e7dd1bc419da12fc5624df94b5

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
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.066440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.879527Z digest=sha256:4b625c50e55ede6b1eff2a5a19f4ab7dbf55ba9b87983d7d5c43076c8f55bc66

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.057993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.881292Z digest=sha256:27651b1e510e6d231287d444497785eff71c8d1937d174f78a8926ac8fb0b555

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.051019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.883267Z digest=sha256:f93b909794a16788affd2aa4ec83f75d7f15422d48e4ab80fe6b456aa940da27

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
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.044158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.886360Z digest=sha256:f04c7b2f20c0a8e65496b5a226563aa6455635cb27f2d29144163e1e5b252f7e

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
raw_fallback, observed 2026-08-11T10:35:25.036015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.889083Z digest=sha256:23d21022df20c0785adf700ec39695e7682e65b32f341d663ec4ae4da6572e6e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.028786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.891617Z digest=sha256:e8cc3831b111727c80ffce5aa175230481ec4529be4086864046d5a752a27675

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.021798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.893952Z digest=sha256:b2b6f61395e27d1a5ff286dae0436c35eb9261bc83d682a2c8442e0a8844e9b1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:35:25.014642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.897070Z digest=sha256:5df6ee8fed65a08458eb508ead61ece99405bab2576adf20ba953180ad8dab4e

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
raw_fallback, observed 2026-08-11T10:35:25.007814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.900748Z digest=sha256:75c9ca7675babdb59425031693096c49d327c1390f06910439411963eb81e8e2

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
raw_fallback, observed 2026-08-11T10:35:25.000131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.903148Z digest=sha256:de4e51209fd85fda7f11dc31749b4d42415c9ca1337e54d129ea0f791fb96b99

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
unresolved
no resolver link, observed 2026-08-11T10:35:24.906048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:35:24.906048Z digest=sha256:aa0d909a33a0f0ee91b8ae114dbeabd72c9bf34195fe15792e71658f2083e937

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
raw_fallback, observed 2026-08-11T10:35:24.992711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.910055Z digest=sha256:2e62c3595e4718564ad22b19e15ac77651b12e7c82430ec46f09aa950cfe8301

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:35:24.912965Z digest=sha256:cd3e7cd811d58e7f2d19657fd4b4212685acf40b55c3b83c71ee70d9bdf3c0e2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.915879Z digest=sha256:c0645922d6a0d829b09b56c5a6c3fc73d2ba1356849a8895f4dec1af28290563

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

Resolution
unresolved
raw_fallback, observed 2026-08-11T10:35:24.971503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T10:35:24.919265Z digest=sha256:67b754b3e7763a25c492543d0a8db3f7a03aff649d1f9c339a6d368d840216f1

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

Resolution
unresolved
no resolver link, observed 2026-08-11T10:35:24.922128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:35:24.922128Z digest=sha256:506e8acce5ccbb827358f82e5ad443aa34c5426b2282474924e38eeca92b30ec

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
unresolved
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T18:52:19.609038Z digest=sha256:658a185ce6284d87e96a1254af7d0e275db5c9e7a5b4e33f15400cef08541192