Paper Citation Record · LEDGER

Mugs: A Multi-Granular Self-Supervised Learning Framework

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2203.14415.

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

pith.paper-citation-record.v1
2203.14415 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:04:25.383655Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:16.417614Z

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 5368219e-fe1e-45ec-9f52-1946bd270291 · inbound

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

DINOv2: Learning Robust Visual Features without Supervision Mugs: A Multi-Granular Self-Supervised Learning Framework

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T04:17:20.383765Z

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 3d2c6b68-dde3-402a-8a2a-aa3dceeeaa24 · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Mugs: A Multi-Granular Self-Supervised Learning Framework

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T09:41:38.289586Z

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 4e32713c-f7b5-49ff-b52d-df709da6d0af · inbound

PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling cites this paper.

PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling Mugs: A Multi-Granular Self-Supervised Learning Framework

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:25.383655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3209ecb5-4892-4949-a2d5-7eb2ad445a7b · inbound

Multi-Token Enhancing for Vision Representation Learning cites this paper.

Multi-Token Enhancing for Vision Representation Learning Mugs: A Multi-Granular Self-Supervised Learning Framework

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T13:59:36.441292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96b9502f-7659-4deb-90a6-3c146f3a19bc · inbound

Human Gaze Boosts Object-Centered Representation Learning cites this paper.

Human Gaze Boosts Object-Centered Representation Learning Mugs: A Multi-Granular Self-Supervised Learning Framework

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T22:04:45.141516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba088ccb-4a31-406c-aba0-440080dc1f4d · inbound

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

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning Mugs: A Multi-Granular Self-Supervised Learning Framework

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:42:01.345130Z

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 282baa49-35e1-467c-a13b-fd81cff62f16 · inbound

Semantic Concentration for Self-Supervised Dense Representations Learning cites this paper.

Semantic Concentration for Self-Supervised Dense Representations Learning Mugs: A Multi-Granular Self-Supervised Learning Framework

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-04T19:13:50.608006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4939f8b5-077a-4ec9-a2d1-d658ca8c48d9 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding Mugs: A Multi-Granular Self-Supervised Learning Framework

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:43:15.493478Z

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 05045d7a-8716-4c2e-b1a4-4131b5b7dd8e · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding Mugs: A Multi-Granular Self-Supervised Learning Framework

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:39:16.419240Z

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.