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Paper Citation Record · LEDGER

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2006.09882.

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

pith.paper-citation-record.v1
2006.09882 v5

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:14:09.625073Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-02T18:47:17.198506Z

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Outbound references

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Pith citing papers

Observation d3dde570-ee32-466b-8cf7-0436005e5e14 · inbound

Vector-quantized Image Modeling with Improved VQGAN cites this paper.

Vector-quantized Image Modeling with Improved VQGAN Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 7

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arxiv_id, observed 2026-05-16T18:40:37.403393Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 78b03507-acef-4ea0-bc57-d6e6667db527 · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 89

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arxiv_id, observed 2026-05-12T13:21:17.067954Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation fafa0553-674b-497f-8226-c9e4adf0207c · inbound

Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.

Atlas: Few-shot Learning with Retrieval Augmented Language Models Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 117

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arxiv_id, observed 2026-05-16T13:48:43.326675Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4ff5efe7-ba7b-4356-a105-f45c7886fd67 · inbound

Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.

Revisiting Feature Prediction for Learning Visual Representations from Video Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 226

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arxiv_id, observed 2026-05-12T12:40:23.845527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T12:40:23.709098Z digest=sha256:131359be1c10d5ee2c32a12ad9b37649fda87b04302cfbf88f9c249ccf0a92f2

Observation 08dfc5a1-615d-4a45-9fcc-e2be28f23f98 · inbound

TPCNet: Representation learning for HI mapping cites this paper.

TPCNet: Representation learning for HI mapping Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:39:03.567174Z digest=sha256:f2629e4e90f1092722c0fb7c1277600045d7a26029c83c3de070f8de818e63e4

Observation 969a5b5f-872d-417e-a1e3-62c40051d690 · inbound

A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning cites this paper.

A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 15

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no resolver link, observed 2026-08-12T14:04:00.246227Z

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Observation ce362e4c-2e5a-4314-a7be-30f2ab96b363 · inbound

Data-Driven Self-Supervised Graph Representation Learning cites this paper.

Data-Driven Self-Supervised Graph Representation Learning Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 4

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source=pdf_text observed=2026-08-11T04:52:08.456538Z digest=sha256:05a4da0008e4aaa9b29e922bb1f1ddaddab9095d183a5b1df0eb6c0e2538f12f

Observation caf595aa-5958-47b0-ae8c-118e7857968e · inbound

A generalizable 3D framework and model for self-supervised learning in medical imaging cites this paper.

A generalizable 3D framework and model for self-supervised learning in medical imaging Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 48

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source=pdf_text observed=2026-08-10T17:59:51.110192Z digest=sha256:f1b89b08b3d0c7e906068c269c53745a13e8b9808926fe6a548435a4236f0401

Observation 050218d8-13b2-4712-ba46-bb911504f509 · inbound

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography cites this paper.

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 16

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arxiv_id, observed 2026-05-23T03:27:27.014983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 746313b4-94b6-43bc-9bc0-efd80618bf16 · inbound

PyViT-FUSE: A Foundation Model for Multi-Sensor Earth Observation Data cites this paper.

PyViT-FUSE: A Foundation Model for Multi-Sensor Earth Observation Data Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 2

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source=arxiv_source observed=2026-08-16T10:14:09.625073Z digest=sha256:17882b8436737e507d1ff4e785248203e25a0ff4c6f71ff2d7ae119f87b4be28

Observation 6f4a056c-0247-495d-9395-0a2845618f82 · inbound

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging cites this paper.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 4

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no resolver link, observed 2026-08-07T15:25:27.356173Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:27.356173Z digest=sha256:1d2f54ab78ad7e45bb7e562c2fa47559957e0ecf4a672ee218338507a0874b3c

Observation f01ea0be-742b-4bc8-a425-3bd77758216a · inbound

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data cites this paper.

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 19

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no resolver link, observed 2026-08-07T15:00:35.727971Z

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source=pdf_text observed=2026-08-07T15:00:35.727971Z digest=sha256:2bad68dea0916493007da232445dcc31f74b4c3f23815f9104e3a36a9d97dddd

Observation 9d1112ad-448c-4f5d-9cb6-a751de94a00c · inbound

On the Out-of-Distribution Generalization of Self-Supervised Learning cites this paper.

On the Out-of-Distribution Generalization of Self-Supervised Learning Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 2020

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no resolver link, observed 2026-08-07T15:03:21.798280Z

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source=pdf_text observed=2026-08-07T15:03:21.798280Z digest=sha256:acebfecbf7d0473b06009e729e861607fb3594699ccc8f43bad1442ae9a3f753

Observation 5fda480a-6cd1-4099-b689-1f67c7b6660e · inbound

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning cites this paper.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 6

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Observation 9221f8ba-e11d-4409-ae3a-3fa21d7efc7f · inbound

NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery cites this paper.

NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 4

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no resolver link, observed 2026-08-07T05:50:38.730988Z

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source=pdf_text observed=2026-08-07T05:50:38.730988Z digest=sha256:86429fee6c8f0b11bd487b2a10226509bd4996ca2873c1797c543d1d927d2451

Observation f27cdd59-26ae-40eb-bee8-43a3d23c742c · inbound

Visual Pre-Training on Unlabeled Images using Reinforcement Learning cites this paper.

Visual Pre-Training on Unlabeled Images using Reinforcement Learning Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 11

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no resolver link, observed 2026-08-07T01:06:17.241283Z

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source=arxiv_source observed=2026-08-07T01:06:17.241283Z digest=sha256:5ec73797727497ee6a2bca3971d1643d13a572f62aeb53762a39ad3cca6831bf

Observation 2b8d4fd8-f5a3-44d5-b5bc-0c39dfc554dd · inbound

Advancing Image-Based Grapevine Variety Classification with a New Benchmark and Evaluation of Masked Autoencoders cites this paper.

Advancing Image-Based Grapevine Variety Classification with a New Benchmark and Evaluation of Masked Autoencoders Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 15

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no resolver link, observed 2026-08-15T20:08:09.149032Z

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Observation 54e6d351-7626-4cdc-8131-b60e90779c91 · inbound

Mesh Processing Non-Meshes via Neural Displacement Fields cites this paper.

Mesh Processing Non-Meshes via Neural Displacement Fields Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 43

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no resolver link, observed 2026-08-15T17:59:29.490866Z

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Observation d4e0d598-3d88-4603-929e-1ee6f82fb479 · inbound

A Generalized Learning Framework for Self-Supervised Contrastive Learning cites this paper.

A Generalized Learning Framework for Self-Supervised Contrastive Learning Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 5

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no resolver link, observed 2026-08-05T19:03:17.747697Z

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Observation 6de84726-d574-4b07-b007-0c706310525a · inbound

Alljoined-1.6M: A Million-Trial EEG-Image Dataset for Evaluating Affordable Brain-Computer Interfaces cites this paper.

Alljoined-1.6M: A Million-Trial EEG-Image Dataset for Evaluating Affordable Brain-Computer Interfaces Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 10

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source=pdf_text observed=2026-08-15T17:01:27.435769Z digest=sha256:412fa13b0b1011cba36260a5320aad780cceabfc9ff4a43b6e0b05ae7bd8b140

Observation cc12f42c-55a5-4827-82ec-76cb2547d77b · inbound

Clustering-based Feature Representation Learning for Oracle Bone Inscriptions Detection cites this paper.

Clustering-based Feature Representation Learning for Oracle Bone Inscriptions Detection Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:57:52.364565Z digest=sha256:4fbb03c26ccd698d3b07b1bad98a6a38b90596b59a067df336981fa9606a2c17

Observation beeb52b5-98d5-444e-a178-7764c11f2a4f · inbound

Barlow-Swin: Toward a novel siamese-based segmentation architecture using Swin-Transformers cites this paper.

Barlow-Swin: Toward a novel siamese-based segmentation architecture using Swin-Transformers Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 3

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no resolver link, observed 2026-08-04T23:02:49.917803Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:02:49.917803Z digest=sha256:999b4dcce2f0e96b9eb1aa7a8eae94dbd9995c72c9433680b19163ef80f8dab5

Observation 2372ea4b-41cb-4168-aa86-48c8e2ea6bc1 · inbound

STORM: Slot-based Task-aware Object-centric Representation for robotic Manipulation cites this paper.

STORM: Slot-based Task-aware Object-centric Representation for robotic Manipulation Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 4

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source=pdf_text observed=2026-08-15T15:43:39.189399Z digest=sha256:7aad70e86c124e5d704121c7c2fdb17d794b7d06c7d796054fda00d4d833feaa

Observation 82911ea5-f3a0-4dbb-ab46-c44ec6929b08 · inbound

MIRAGE: Robust multi-modal architectures translate fMRI-to-image models from vision to mental imagery cites this paper.

MIRAGE: Robust multi-modal architectures translate fMRI-to-image models from vision to mental imagery Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 50

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metadata mismatch
arxiv_id, observed 2026-05-20T13:48:19.575853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 56f1631c-9325-454b-9d22-af45c9280b48 · inbound

Brain-to-Image Retrieval and Reconstruction via Multimodal EEG Alignment cites this paper.

Brain-to-Image Retrieval and Reconstruction via Multimodal EEG Alignment Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 12

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arxiv_id, observed 2026-06-30T19:05:00.467475Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T19:02:49.795250Z digest=sha256:9ce1e6986b80bfee4d0edffe43c9c34b6d654985614dcd4a198e5a64d5693fe5

Observation 7cd28d6c-dd90-4a8d-88c9-293413770b37 · inbound

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation cites this paper.

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 10

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arxiv_id, observed 2026-07-02T18:47:17.199990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3b0d69fb-f0e0-4750-b0db-aa232e1a0343 · inbound

Real-time Reconstruction of Human Visual Perception from fMRI cites this paper.

Real-time Reconstruction of Human Visual Perception from fMRI Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 2021

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