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Paper Citation Record · LEDGER

Self-supervised Pretraining of Visual Features in the Wild

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2103.01988.

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

pith.paper-citation-record.v1
2103.01988 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:17:37.302274Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:33:14.530648Z

Reference resolution

0 of 0 outbound references displayed

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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 9e417d10-be46-4dd2-ae99-d42e0a8ab2a2 · inbound

Emerging Properties in Self-Supervised Vision Transformers cites this paper.

Emerging Properties in Self-Supervised Vision Transformers Self-supervised Pretraining of Visual Features in the Wild

Reference 28

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verified exact
arxiv_id, observed 2026-05-16T14:04:51.561216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T14:04:51.458382Z digest=sha256:3c9dad8d83b9a91891a56853a1b11f49da2ec3c9962c4410d8dce3c394c1478b

Observation 54948bfd-c6f3-42f5-b304-e6cef5a6b04f · inbound

Masked Autoencoders Are Scalable Vision Learners cites this paper.

Masked Autoencoders Are Scalable Vision Learners Self-supervised Pretraining of Visual Features in the Wild

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:53:57.588388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T06:53:57.519348Z digest=sha256:b238f498061874450a647ac8f9906ae819c260e9ce392c469f4e37929209ca3e

Observation 9976cf06-4437-4342-ba15-fce8aad4bc35 · inbound

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

DINOv2: Learning Robust Visual Features without Supervision Self-supervised Pretraining of Visual Features in the Wild

Reference 11

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verified exact
arxiv_id, observed 2026-05-09T04:17:20.403346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-09T04:17:19.878360Z digest=sha256:c3940ab93277f5b16117893d3930e5f50ae76351824b2b2643f9a09750e1f95f

Observation e76c8729-e735-4661-808f-e9d4a13dab9f · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Self-supervised Pretraining of Visual Features in the Wild

Reference 173

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metadata mismatch
arxiv_id, observed 2026-05-13T09:41:38.135772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T09:41:37.937046Z digest=sha256:be3fd6d863352c3f68db13f918f515ba10320f59d886a66caa8945f4ce9ed2f5

Observation db8c9ae1-a051-45fc-909e-61e501a2864d · inbound

Self-Supervised Radio Pre-training: Toward Foundational Models for Spectrogram Learning cites this paper.

Self-Supervised Radio Pre-training: Toward Foundational Models for Spectrogram Learning Self-supervised Pretraining of Visual Features in the Wild

Reference 4

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unresolved
no resolver link, observed 2026-08-12T20:17:37.302274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:17:37.302274Z digest=sha256:5876152658b3a0b0e5719306c7d2a58efc31a5b52486f9b45f5b93ac6c05c0b9

Observation 5bf20e2d-4393-42a5-bf83-34cfee442971 · inbound

Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era cites this paper.

Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era Self-supervised Pretraining of Visual Features in the Wild

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-12T20:10:24.275417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:10:24.275417Z digest=sha256:0599a4f12f2601a5e1edb13b6b5157961654430f5c53b013f62e8b689d2c9151

Observation 81021c7f-5076-41e5-b38e-f2068032aaa8 · inbound

Building 6G Radio Foundation Models with Transformer Architectures cites this paper.

Building 6G Radio Foundation Models with Transformer Architectures Self-supervised Pretraining of Visual Features in the Wild

Reference 6

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unresolved
no resolver link, observed 2026-08-12T20:09:10.890756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:09:10.890756Z digest=sha256:2f477c6b65e0418454c233aef62ef850faff9364c362c461f05cc005c8ad49a0

Observation 52335733-0763-4a84-8fa7-ee728735c229 · inbound

Pre-training for Action Recognition with Automatically Generated Fractal Datasets cites this paper.

Pre-training for Action Recognition with Automatically Generated Fractal Datasets Self-supervised Pretraining of Visual Features in the Wild

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T12:04:12.898054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:04:12.898054Z digest=sha256:fdb5debb9899129a77d60d45c6bb0a753f5aacc58f0aaeabf4ae2264d57bbe8b

Observation 515148e4-57d3-4e17-8ed0-1e1feb9843a5 · inbound

Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data cites this paper.

Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Self-supervised Pretraining of Visual Features in the Wild

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T22:03:38.496759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:03:38.496759Z digest=sha256:35ba9d16ec606912026b21a777cf2c1eed424745488ac2842b21333080effa2f

Observation 94adf0bd-e0d3-4130-9d5c-762d46c55119 · 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 Self-supervised Pretraining of Visual Features in the Wild

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T10:45:04.216285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:45:04.216285Z digest=sha256:5e91cf21aaee6d9780c48bc6fce4e0d63b0b30ac7a31eae861f3ad8ade709b10

Observation 118a1c6e-17b7-4aa8-9761-5d763928d81d · inbound

BloomCoreset: Fast Coreset Sampling using Bloom Filters for Fine-Grained Self-Supervised Learning cites this paper.

BloomCoreset: Fast Coreset Sampling using Bloom Filters for Fine-Grained Self-Supervised Learning Self-supervised Pretraining of Visual Features in the Wild

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T06:01:43.835511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:01:43.835511Z digest=sha256:e8ebfaa47d5445a9bcc7970405b3801ad6d10bd5e08b002f59d6bac0b1b132cf

Observation 999382db-68b4-4e43-b178-62937d739532 · inbound

With Great Backbones Comes Great Adversarial Transferability cites this paper.

With Great Backbones Comes Great Adversarial Transferability Self-supervised Pretraining of Visual Features in the Wild

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T17:24:21.572960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:24:21.572960Z digest=sha256:a61f9738eda1e12605d49ead25a712e2e3aff1bbe37e4ad76d81b2dc698784b6

Observation ad5a2a15-1aa0-4000-b298-8cfb9e95ff1a · inbound

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning cites this paper.

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning Self-supervised Pretraining of Visual Features in the Wild

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:26:21.193968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:26:21.193968Z digest=sha256:c5ce281af94733126ec8e6fef7062d4c8f97e4da9130d7ade7034dc365e28a76

Observation 147f233f-dde0-4a49-88b3-552b9c793b2c · inbound

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning cites this paper.

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning Self-supervised Pretraining of Visual Features in the Wild

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:42:01.358956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-19T03:39:52.969100Z digest=sha256:c33c385dd7986048a956b1a7c11950a8de9e309a9894c45e881045aafc7ba0f5

Observation 2d49248b-3cfe-410f-9321-b3c660e11bf4 · inbound

Benchmarking transferability of SSL pretraining to same and different modality segmentation tasks cites this paper.

Benchmarking transferability of SSL pretraining to same and different modality segmentation tasks Self-supervised Pretraining of Visual Features in the Wild

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:33:14.532367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T11:29:45.324528Z digest=sha256:d1d09eb0866371b4b1afb5c11db89d93ae263b48e447659a6c55326cde73f7df