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Paper Citation Record · LEDGER

FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.11339.

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

pith.paper-citation-record.v1
2303.11339 v1

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T16:29:09.303242Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:38:39.819302Z

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 18107ec2-bdb2-448a-b6fd-695b1a6c8dba · inbound

FedVideoMAE: Efficient Privacy-Preserving Federated Video Moderation cites this paper.

FedVideoMAE: Efficient Privacy-Preserving Federated Video Moderation FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:38:24.725919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T20:36:16.561576Z digest=sha256:2c5032c4138e32a94e00f1f7d68daf52063b8045f41cd02cd48441f64b818eff

Observation 010502c4-e49a-4aff-b159-c825753da7b7 · inbound

Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data cites this paper.

Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T16:38:39.821273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-03T16:29:09.303242Z digest=sha256:1f50de75e7c7c60a69e74dd39b3d0b9269e7494e39bdd285860dce803b6b63a1