Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:01:54.301403Z
Paper Citation Record · LEDGER
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars
As of 21 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.13542.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
17 of 17 outbound references displayed
- verified exact0
- verified fuzzy9
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ef9d5f0c-9e54-42ee-9933-ab0eaa7517fb · outbound
This paper cites Kropuenske et al.Earth Observing Sensing Satellites Online Compendium: U.S.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Kropuenske et al.Earth Observing Sensing Satellites Online Compendium: U.S
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:01:54.661181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9701b2f4-13ab-4971-8671-ea43debcfd70 · outbound
This paper cites Improved field-scale drought monitoring using MODIS and Sentinel-2 data for vegetation temperature condition index generation through a fusion framework.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Improved field-scale drought monitoring using MODIS and Sentinel-2 data for vegetation temperature condition index generation through a fusion framework
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:01:54.643177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ab00a56c-b0d6-465b-9d68-ccdf080a3b16 · outbound
This paper cites Planted: a dataset for planted forest identification from multi-satellite time series.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Planted: a dataset for planted forest identification from multi-satellite time series
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:01:54.625404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 07644c30-4bcb-4745-b7f3-7867669db319 · outbound
This paper cites an unresolved cited work.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:01:54.606612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0160be36-e150-47db-b72c-314a287a9ed9 · outbound
This paper cites AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:01:54.227100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1386c22-ce1e-4ab4-9070-1dd81c2051c2 · outbound
This paper cites Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:01:54.588028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bda0d388-2a31-4786-98cd-f9d75917ca09 · outbound
This paper cites FlexiMo: A Flexible Remote Sensing Foundation Model.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars FlexiMo: A Flexible Remote Sensing Foundation Model
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:01:54.239605Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 138a19a1-f3ff-4f2e-befa-51e1937404b3 · outbound
This paper cites Perceiver: General perception with iterative attention.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Perceiver: General perception with iterative attention
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:01:54.565830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 44161625-e1cf-434b-9d77-8a3afb856017 · outbound
This paper cites Fourier features let networks learn high frequency functions in low dimensional domains.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Fourier features let networks learn high frequency functions in low dimensional domains
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:01:54.546995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b1a671ba-2037-415d-a68f-eaa5afbab25d · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:01:54.258747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57166991-30b0-44ec-a9c7-cff904c31aad · outbound
This paper cites Senpa-mae: Sensor parameter aware masked autoencoder for multi-satellite self-supervised pretraining.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Senpa-mae: Sensor parameter aware masked autoencoder for multi-satellite self-supervised pretraining
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:01:54.527678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3b75d08b-8493-401c-bdfe-aafd082d153e · outbound
This paper cites Galileo: Learning Global & Local Features of Many Remote Sensing Modalities.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:01:54.270240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbe5b90f-c8f8-4f21-a0e8-c8d962c330c8 · outbound
This paper cites A survey of remote-sensing big data.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars A survey of remote-sensing big data
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:01:54.507706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8c3366de-8022-4e34-8332-fc3c02b4cbd0 · outbound
This paper cites Lightweight, Pre-trained Transformers for Remote Sensing Timeseries.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:01:54.283625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 572e31c1-b7b9-4cd8-9eb0-0741ef0e6821 · outbound
This paper cites Self-attentive pooling for efficient deep learning.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Self-attentive pooling for efficient deep learning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:01:54.486595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7e04f96a-e403-4c02-9f6f-f66c5f8f5331 · outbound
This paper cites reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:01:54.295480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ffb704d-8f11-4122-b073-d1da3835cb7c · outbound
This paper cites Deep residual learning for image recognition.
Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars Deep residual learning for image recognition
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:01:54.301403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.