Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MultiMAE: Multi-modal Multi-task Masked Autoencoders
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2204.01678.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T15:53:51.434478Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T11:53:14.858446Z
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 97522ffd-971f-482e-92f4-fa7cc729d036 · inbound
InternVideo: General Video Foundation Models via Generative and Discriminative Learning cites this paper.
InternVideo: General Video Foundation Models via Generative and Discriminative Learning MultiMAE: Multi-modal Multi-task Masked Autoencoders
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T00:36:53.332561Z
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.
Observation 7b5fc9bd-29dc-4cf9-996b-02e355b3cfc0 · inbound
From Pixels to Components: Eigenvector Masking for Visual Representation Learning cites this paper.
From Pixels to Components: Eigenvector Masking for Visual Representation Learning MultiMAE: Multi-modal Multi-task Masked Autoencoders
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:53:51.434478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 075e673d-adcf-4446-8efc-51c2f7c45f9b · inbound
The model is the message: Lightweight convolutional autoencoders applied to noisy imaging data for planetary science and astrobiology cites this paper.
The model is the message: Lightweight convolutional autoencoders applied to noisy imaging data for planetary science and astrobiology MultiMAE: Multi-modal Multi-task Masked Autoencoders
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:14:29.135451Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7beb98f5-e352-4b5f-b68e-1a571c21d139 · inbound
Better Together: Evaluating the Complementarity of Earth Embedding Models cites this paper.
Better Together: Evaluating the Complementarity of Earth Embedding Models MultiMAE: Multi-modal Multi-task Masked Autoencoders
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:53:14.860654Z
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.
Observation d9a44e3b-2aa3-42c4-acf2-aa1b7380093e · inbound
Kepler-Encoder-v0.1: Towards a Multimodal Embedding Model for Robots cites this paper.
Kepler-Encoder-v0.1: Towards a Multimodal Embedding Model for Robots MultiMAE: Multi-modal Multi-task Masked Autoencoders
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:01:23.014752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.