Paper Citation Record · LEDGER

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations

As of 23 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2509.06678.

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

pith.paper-citation-record.v1
2509.06678 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:20:30.484266Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:02:06.398492Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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verified fuzzy37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bbe6c7c-3a1a-47e4-b3ff-49c8fa618e23 · outbound

This paper cites Monitoring of benthic reference sites: Using an autonomous underwater vehicle,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Monitoring of benthic reference sites: Using an autonomous underwater vehicle,

Reference 1

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Observation aaad6971-9761-4cd2-934e-aab79a530489 · outbound

This paper cites Inspection and maintenance of indus- trial infrastructure with autonomous underwater robots,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Inspection and maintenance of indus- trial infrastructure with autonomous underwater robots,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:20:31.493710Z

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Observation 6d2ec044-1805-483b-8f7c-6656992cb43d · outbound

This paper cites Visually mapping the rms titanic: Conservative covariance estimates for slam information filters,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Visually mapping the rms titanic: Conservative covariance estimates for slam information filters,

Reference 3

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Observation a43ff5e8-8f98-4ef6-a725-3ddd31b0367c · outbound

This paper cites Hierarchical bayesian models for unsupervised scene understanding,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Hierarchical bayesian models for unsupervised scene understanding,

Reference 4

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Observation ae34ccce-52bc-4535-b4b1-475f41285545 · outbound

This paper cites GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-04T23:20:30.676000Z

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Observation 664d78a6-7647-4ba5-9db5-bdbceff5d796 · outbound

This paper cites Generation of high-resolution three-dimensional reconstructions of the seafloor in color using a single camera and structured light,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Generation of high-resolution three-dimensional reconstructions of the seafloor in color using a single camera and structured light,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:20:31.464489Z

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Observation 9a12117b-8da5-446e-a382-2773fdfdf317 · outbound

This paper cites Assessing the repeatability of automated seafloor classification algorithms, with application in marine protected area monitoring,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Assessing the repeatability of automated seafloor classification algorithms, with application in marine protected area monitoring,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:20:31.449546Z

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Observation a8d214d1-683c-4f50-bcab-a4807fd8c639 · outbound

This paper cites Auv adaptive sampling methods: A review,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Auv adaptive sampling methods: A review,

Reference 8

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Observation 1e57b77b-b384-46e7-b05f-76047d3f2377 · outbound

This paper cites Capture: A communications architecture for progressive transmission via underwater relays with eavesdropping,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Capture: A communications architecture for progressive transmission via underwater relays with eavesdropping,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:20:31.419385Z

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Observation aa3f8141-4d15-49a7-a229-f8fe47e3df1b · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations DINOv2: Learning Robust Visual Features without Supervision

Reference 10

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Observation 492425d2-950e-4f55-94b5-a24e81bbea6e · outbound

This paper cites A standardised vocabulary for identifying benthic biota and substrata from underwater imagery: The catami classification scheme,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations A standardised vocabulary for identifying benthic biota and substrata from underwater imagery: The catami classification scheme,

Reference 11

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Observation ee67c013-2592-4b16-a3ad-80c6af31e13c · outbound

This paper cites Gear-induced concept drift in marine images and its effect on deep learning classification,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Gear-induced concept drift in marine images and its effect on deep learning classification,

Reference 12

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Observation 740cf321-db0c-48bb-8b43-953f17620b63 · outbound

This paper cites Guiding labelling effort for efficient learn- ing with georeferenced images,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Guiding labelling effort for efficient learn- ing with georeferenced images,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:20:31.404160Z

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Observation 61fe63f7-bea6-4ca1-a35b-0e3c18f39465 · outbound

This paper cites K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data,

Reference 14

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Observation 3af54a97-253e-424f-869d-cacb4f23bba5 · outbound

This paper cites A survey of density based clustering algorithms,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations A survey of density based clustering algorithms,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:20:31.377661Z

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Observation f2a5ca8b-0b08-4b49-be99-b7293fdb67ff · outbound

This paper cites Modeling unsupervised empirical adaptation by dpgmm and dpgmm-rnn hybrid model to extract perceptual features for low-resource asr,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Modeling unsupervised empirical adaptation by dpgmm and dpgmm-rnn hybrid model to extract perceptual features for low-resource asr,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:20:31.359979Z

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Observation b9d5e234-85e1-4734-a639-1b9ec282752a · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Emerging properties in self-supervised vision transformers,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:20:31.345036Z

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Observation b4866f4b-1c4a-43f2-b017-3142a6a81b2b · outbound

This paper cites Learning features from georeferenced seafloor imagery with location guided autoencoders,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Learning features from georeferenced seafloor imagery with location guided autoencoders,

Reference 18

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Observation f5b60e4d-f791-478e-87f4-8628b55e6581 · outbound

This paper cites Biological underpinnings for lifelong learning machines,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Biological underpinnings for lifelong learning machines,

Reference 19

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Observation 82b6dca2-70fa-430c-b7f5-b07aa073d623 · outbound

This paper cites What and how: generalized lifelong spectral clustering via dual memory,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations What and how: generalized lifelong spectral clustering via dual memory,

Reference 20

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This paper cites Large scale incremental learning,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Large scale incremental learning,

Reference 21

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This paper cites Continual unsupervised representation learning,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Continual unsupervised representation learning,

Reference 22

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This paper cites Experi- ence replay for continual learning,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Experi- ence replay for continual learning,

Reference 23

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This paper cites Lifelong bayesian learning machines for streaming industrial big data,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Lifelong bayesian learning machines for streaming industrial big data,

Reference 24

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Observation 7c27ed00-5db9-4a24-8b60-09526dcdad22 · outbound

This paper cites An incremental dpmm-based method for trajectory clustering, modeling, and retrieval,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations An incremental dpmm-based method for trajectory clustering, modeling, and retrieval,

Reference 25

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Observation 59468a1d-edd0-4a8e-9482-f7c17940f6fd · outbound

This paper cites Tiny episodic memories in continual learning,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Tiny episodic memories in continual learning,

Reference 26

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This paper cites Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence

Reference 27

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This paper cites Knowledge distillation: A survey,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Knowledge distillation: A survey,

Reference 28

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This paper cites Distilling the Knowledge in a Neural Network.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Distilling the Knowledge in a Neural Network

Reference 29

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Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Ensemble Knowledge Distillation for Learning Improved and Efficient Networks

Reference 30

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Observation 26356ee4-473e-43c6-84d3-0d151bbfa883 · outbound

This paper cites Feature fusion for online mutual knowledge distillation,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Feature fusion for online mutual knowledge distillation,

Reference 31

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Observation 4e458428-a259-4257-aa00-794daf9a0bf5 · outbound

This paper cites Incremental learning for semantic segmentation of large-scale remote sensing data,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Incremental learning for semantic segmentation of large-scale remote sensing data,

Reference 32

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Observation d0d3a9b3-b2e3-470f-87de-762ae9b87ea6 · outbound

This paper cites Autonomous data stream clustering implementing split-and-merge concepts–towards a plug-and- play approach,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Autonomous data stream clustering implementing split-and-merge concepts–towards a plug-and- play approach,

Reference 33

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This paper cites Sampling in dirichlet process mixture models for clustering streaming data,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Sampling in dirichlet process mixture models for clustering streaming data,

Reference 34

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This paper cites Deepdpm: Deep clustering with an unknown number of clusters,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Deepdpm: Deep clustering with an unknown number of clusters,

Reference 35

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This paper cites Cluster merging and splitting in hierarchical clustering algorithms,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Cluster merging and splitting in hierarchical clustering algorithms,

Reference 36

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This paper cites Aic model selection using akaike weights,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Aic model selection using akaike weights,

Reference 37

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This paper cites Generative adversarial networks: An overview,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Generative adversarial networks: An overview,

Reference 38

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This paper cites Dataset distillation: A comprehensive re- view,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Dataset distillation: A comprehensive re- view,

Reference 39

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This paper cites Anchor assisted experience replay for online class-incremental learning,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Anchor assisted experience replay for online class-incremental learning,

Reference 40

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This paper cites Data Distillation: A Survey.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Data Distillation: A Survey

Reference 41

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This paper cites A comprehensive survey of dataset distillation,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations A comprehensive survey of dataset distillation,

Reference 42

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Observation 67ceb3a5-03f1-4350-bff8-a4001b7b13a5 · outbound

This paper cites Spatially balanced sampling through the pivotal method,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Spatially balanced sampling through the pivotal method,

Reference 43

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Observation 8fe0533d-0bf2-484e-8eb2-b49331650a81 · outbound

This paper cites Spatial autocorrelation and neighborhood quality,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Spatial autocorrelation and neighborhood quality,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:20:30.842175Z

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Observation 9baedf70-315e-4e98-96b1-224b6ebdc7c6 · outbound

This paper cites Determining represen- tative sample size for validation of continuous, large continental remote sensing data,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Determining represen- tative sample size for validation of continuous, large continental remote sensing data,

Reference 45

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Observation bac47d4d-7aa4-4d92-b8e4-4ff7973631ff · outbound

This paper cites Representative subset selection,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Representative subset selection,

Reference 46

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This paper cites Beta processes, stick- breaking and power laws,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Beta processes, stick- breaking and power laws,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:20:30.760924Z

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Observation d39581db-6d5f-48cc-b84b-7d8eea12a066 · outbound

This paper cites A dynamic split-and-merge approach for evolving cluster models,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations A dynamic split-and-merge approach for evolving cluster models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:20:30.742064Z

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Observation e65551f6-1b7b-4780-8a07-247eb733a911 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assign- ments,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Unsupervised learning of visual features by contrasting cluster assign- ments,

Reference 49

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Observation dbc8d739-4f8d-4866-8f72-7217bb2f8a03 · outbound

This paper cites Self-supervised learning with multimodal remote sensed maps for seafloor visual class inference,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Self-supervised learning with multimodal remote sensed maps for seafloor visual class inference,

Reference 50

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This paper cites Investigating location-regularised self-supervised feature learning for seafloor visual imagery,.

Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations Investigating location-regularised self-supervised feature learning for seafloor visual imagery,

Reference 51

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Pith citing papers

Observation d3a1009b-9902-4258-96b7-fdad1fe0014f · inbound

Long-Term Visual Localization in Dynamic Benthic Environments: A Dataset, Footprint-Based Ground Truth, and Visual Place Recognition Benchmark cites this paper.

Long-Term Visual Localization in Dynamic Benthic Environments: A Dataset, Footprint-Based Ground Truth, and Visual Place Recognition Benchmark Online Clustering of Seafloor Imagery for Interpretation during Long-Term AUV Operations

Reference 57

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