Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DropMAE: Learning Representations via Masked Autoencoders with Spatial-Attention Dropout for Temporal Matching Tasks
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.00571.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-11T01:44:31.308036Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T18:46:09.374587Z
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 11e80ae9-f2a0-47cf-9d2c-7f93e63a8876 · inbound
Boosting Self-Supervised Tracking with Contextual Prompts and Noise Learning cites this paper.
Boosting Self-Supervised Tracking with Contextual Prompts and Noise Learning DropMAE: Learning Representations via Masked Autoencoders with Spatial-Attention Dropout for Temporal Matching Tasks
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:46:09.376649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 914c681f-6b2b-4ca3-a2b8-b1d4d1d945e7 · inbound
Learning to Track Instance from Single Nature Language Description cites this paper.
Learning to Track Instance from Single Nature Language Description DropMAE: Learning Representations via Masked Autoencoders with Spatial-Attention Dropout for Temporal Matching Tasks
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T01:45:51.052834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.