Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.08079.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:53:49.535011Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T07:32:59.914413Z
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 f87713e4-3fd4-4008-8f41-cde3a26d134c · inbound
TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series cites this paper.
TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:53:49.535011Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8a7e5f3-a741-4a55-a0ae-0b2798d6cdbf · inbound
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis cites this paper.
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T07:32:59.916359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 748b4b98-c711-4ad5-9caf-ab605ed7df20 · inbound
REMSA: Foundation Model Selection for Remote Sensing via a Constraint-Aware Agent cites this paper.
REMSA: Foundation Model Selection for Remote Sensing via a Constraint-Aware Agent A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:00:51.462131Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.