Paper Citation Record · LEDGER

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:27.356173Z

measured 0 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T18:40:37.403393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:21:17.067954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T13:48:43.326675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

Resolution: metadata mismatch; 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 2026-08-10T06:31:04.303077+00:00.

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

Resolution: verified exact; 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 2026-08-10T06:31:04.303077+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:08.080342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-10T06:31:04.303077+00:00.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T19:05:00.467475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

Resolution: verified exact; 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 2026-08-10T06:31:04.303077+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-01T07:39:03.752723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.