Paper Citation Record · LEDGER

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.11519.

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

pith.paper-citation-record.v1
2406.11519 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:23:31.943754Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T07:32:59.946439Z

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 5a652cf1-9095-419b-806e-52a49c0b16a2 · inbound

Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification cites this paper.

Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:31.943754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4134d86-d80f-4b0c-8a0f-cf0ce34c0933 · 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 HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:32:59.947773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a47c140c-a306-49b5-ad2d-cc42dcf3fab8 · inbound

MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models cites this paper.

MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T18:44:15.760450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dc56d59-87ee-4aaf-ab42-ccc56ebdaa86 · inbound

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision cites this paper.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:25.256613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed89d7a-7d1b-4984-9f7d-d3e2cb69901a · inbound

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model cites this paper.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T11:27:58.609485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e23b3f2e-ba35-47fa-8b55-2348a2bf838c · inbound

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models cites this paper.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:32.312349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.