Paper Citation Record · LEDGER

Multimodal Masked Autoencoders Learn Transferable Representations

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2205.14204.

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

pith.paper-citation-record.v1
2205.14204 v3

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 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:51:56.119954Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:30.500649Z

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 8052cb6c-0b44-4e10-b398-c7e7cfb4a23a · inbound

Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning cites this paper.

Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning Multimodal Masked Autoencoders Learn Transferable Representations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:51:56.119954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc65874-e27c-4510-9d17-83f8c207b01d · inbound

Self-Supervised Learning with a Multi-Task Latent Space Objective cites this paper.

Self-Supervised Learning with a Multi-Task Latent Space Objective Multimodal Masked Autoencoders Learn Transferable Representations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.875356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79ac19da-a348-438f-a488-4c6714c28514 · inbound

Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model cites this paper.

Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model Multimodal Masked Autoencoders Learn Transferable Representations

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:31:25.596798Z

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 b1676396-43a6-41d8-ba45-ddc7e72a6c01 · inbound

Probing, Fusion, and Trustworthiness: A Systematic Evaluation of Foundation Model Representations for Multimodal Cancer Analysis cites this paper.

Probing, Fusion, and Trustworthiness: A Systematic Evaluation of Foundation Model Representations for Multimodal Cancer Analysis Multimodal Masked Autoencoders Learn Transferable Representations

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:08:46.612826Z

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 fa2103d0-5b5e-4bd1-9a13-cb185aba9075 · inbound

Evidential Fusion Network for Multimodal Survival Prediction under Missing Modalities cites this paper.

Evidential Fusion Network for Multimodal Survival Prediction under Missing Modalities Multimodal Masked Autoencoders Learn Transferable Representations

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:30.504134Z

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 bfce395d-d8e4-466c-972d-be3ef43dbf2b · inbound

Asleep at the Wheel: JEPA's Limitations in Evaluating Novel Driving Data cites this paper.

Asleep at the Wheel: JEPA's Limitations in Evaluating Novel Driving Data Multimodal Masked Autoencoders Learn Transferable Representations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T00:22:12.599612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.