Paper Citation Record · LEDGER

How to Understand Masked Autoencoders

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2202.03670.

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

pith.paper-citation-record.v1
2202.03670 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:49:24.376251Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:44.694169Z

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 a3c5e7b1-6ace-4bee-8eab-cb5f4a8acb82 · inbound

KDC-MAE: Knowledge Distilled Contrastive Mask Auto-Encoder cites this paper.

KDC-MAE: Knowledge Distilled Contrastive Mask Auto-Encoder How to Understand Masked Autoencoders

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T17:49:24.376251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e32df53a-d795-483e-aa41-6882121c53a4 · inbound

Self-Guided Masked Autoencoder cites this paper.

Self-Guided Masked Autoencoder How to Understand Masked Autoencoders

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T14:13:52.845706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eea3074-68e0-4848-b186-5110be653b92 · inbound

MINR: Implicit Neural Representations with Masked Image Modelling cites this paper.

MINR: Implicit Neural Representations with Masked Image Modelling How to Understand Masked Autoencoders

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T11:48:35.039794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 350b9094-50ce-4f40-bfad-e1b8604da574 · inbound

Robust Representation Learning in Masked Autoencoders cites this paper.

Robust Representation Learning in Masked Autoencoders How to Understand Masked Autoencoders

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T04:59:13.288595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f900874-7874-4d41-a89c-29539ffb8083 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning How to Understand Masked Autoencoders

Reference 177

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:44.695674Z

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.

Observation 76c1716f-e50f-46d0-9fb0-878eaafb867c · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning How to Understand Masked Autoencoders

Reference 176

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:59.619038Z

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.

Observation 08693a3c-8d3f-4105-8154-89a3f784ee5d · inbound

Self-explainable Operator Learning for Discovering Spatial Patterns in Functional Data cites this paper.

Self-explainable Operator Learning for Discovering Spatial Patterns in Functional Data How to Understand Masked Autoencoders

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:48:39.273961Z

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.

Observation 5322c926-5363-41c9-9807-ece515f2b478 · inbound

AMRM-Pure: Semantic-Preserving Adversarial Purification cites this paper.

AMRM-Pure: Semantic-Preserving Adversarial Purification How to Understand Masked Autoencoders

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-11T18:54:16.790539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.