Paper Citation Record · LEDGER

Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2202.08360.

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

pith.paper-citation-record.v1
2202.08360 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:13:52.625728Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T13:26:53.963779Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 b6df6ee8-6465-4775-ab8a-2522ce7a9d75 · inbound

R3M: A Universal Visual Representation for Robot Manipulation cites this paper.

R3M: A Universal Visual Representation for Robot Manipulation Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:26:53.967176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ba28ccd-9876-4e0d-9bab-498307162344 · inbound

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

DINOv2: Learning Robust Visual Features without Supervision Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:17:20.412841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 527c3422-2315-4ed5-932b-77c2d1f15290 · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T09:41:38.184117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3a7462ef-1539-44e5-9c73-55a7a8aba4d0 · inbound

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

Revisiting Feature Prediction for Learning Visual Representations from Video Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 115

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T12:40:23.934267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46ba28ac-f971-4531-9b1e-3066830cc944 · inbound

Absorbing state dynamics of stochastic gradient descent cites this paper.

Absorbing state dynamics of stochastic gradient descent Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T18:13:52.625728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba486958-0893-44bd-b5dc-4e543c9409b5 · inbound

DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment cites this paper.

DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T10:45:04.220997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce691cb0-a1e3-42be-8825-ad63d52dfaf6 · inbound

Scaling Pre-training to One Hundred Billion Data for Vision Language Models cites this paper.

Scaling Pre-training to One Hundred Billion Data for Vision Language Models Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:30.698078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3cba657-06aa-439d-83b6-dc58ec640525 · inbound

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations cites this paper.

Data-Driven Self-Supervised Learning for the Discovery of Solution Singularity for Partial Differential Equations Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T21:49:11.864829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29e6aaa7-c7cb-4fe2-95f7-0e40921d68e5 · inbound

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks cites this paper.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:36:38.129558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca69808-93c8-4ca4-9ac4-b5f6415c5da4 · inbound

Understanding the Effects of Distractors on Reasoning Vision-Language Models cites this paper.

Understanding the Effects of Distractors on Reasoning Vision-Language Models Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T20:08:00.686537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c5a6414-787f-464f-91df-b2899f208387 · inbound

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models cites this paper.

Geographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T18:32:47.329159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.