Paper Citation Record · LEDGER

SpectralGPT: Spectral Remote Sensing Foundation Model

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.07113.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2311.07113 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:55.815542Z

measured 0 of 1 external citation measurements

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 580ea666-6f5e-4c20-b34d-3efa6b351136 · inbound

A Complex-valued SAR Foundation Model Based on Physically Inspired Representation Learning cites this paper.

A Complex-valued SAR Foundation Model Based on Physically Inspired Representation Learning SpectralGPT: Spectral Remote Sensing Foundation Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:55.815542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-17T06:30:58.91139+00:00.