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Paper Citation Record · LEDGER

MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.13137.

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

pith.paper-citation-record.v1
2205.13137 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:31:43.331749Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T16:31:43.525675Z

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 e5166bc4-aac2-4668-8297-05a3e102dcc7 · inbound

Dynamic Entity-Masked Graph Diffusion Model for histopathological image Representation Learning cites this paper.

Dynamic Entity-Masked Graph Diffusion Model for histopathological image Representation Learning MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:31:43.533531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T16:31:43.331749Z digest=sha256:6f4e7718d8c112029fdb822bac084318cef817c7916219d6b365698a1ee4677a

Observation f09b81c0-9607-43d2-9615-61b5b9cef401 · inbound

Robust Representation Learning in Masked Autoencoders cites this paper.

Robust Representation Learning in Masked Autoencoders MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T04:59:12.999852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:59:12.999852Z digest=sha256:746aa53746254e5964e6af0f0751f7474a7df690ca99613c8080776a9dbc9c5c