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Paper Citation Record · LEDGER

Mugs: A Multi-Granular Self-Supervised Learning Framework

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:13:50.608006Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T04:17:19.878360Z digest=sha256:568494fdf372c99932358ac100a61919ee85aed53347c763775d6ee08dd23e4d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T09:41:37.937046Z digest=sha256:37371cbf5b6dffdb790cae5f7d7327d4a8fb2a761a3bc51969dbaeda125f18f7

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T03:39:52.969100Z digest=sha256:7caaf996a70e67cdc52272bf8b33699884aaab054ddbf05377b104b7dfa306ab

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.

source=pdf_text observed=2026-08-04T19:13:50.608006Z digest=sha256:775ea4664ae1c46d3d124d5c67f3a8cb2f2cb012aebf64f5516d27d05c6d1d7d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T08:37:02.350175Z digest=sha256:2bb276ab5bfe6ea97252e4aa996d8fd2c743686c610dc8d159da97e6f19fd93a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-04T00:34:21.224797Z digest=sha256:51e3f4896eca5694f83ef586b6b4911e60337530ae13b2655ae311b8c25b1736