Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SpectralGPT: Spectral Remote Sensing Foundation Model
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.07113.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:14:29.976866Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T00:20:52.343414Z
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 7569235c-866a-47cd-a9a2-823151278265 · 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 SpectralGPT: Spectral Remote Sensing Foundation Model
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:14:29.976866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b0a258c-d69d-450a-aced-132ee2ea0c86 · inbound
EMind: A Foundation Model for Multi-task Electromagnetic Signals Understanding cites this paper.
EMind: A Foundation Model for Multi-task Electromagnetic Signals Understanding SpectralGPT: Spectral Remote Sensing Foundation Model
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:18:16.520556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d94a3277-5e97-4962-9931-4cfa5f1aae76 · inbound
Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data cites this paper.
Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data SpectralGPT: Spectral Remote Sensing Foundation Model
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:20:52.349759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.