Paper Citation Record · LEDGER

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2508.01731.

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

pith.paper-citation-record.v1
2508.01731 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:30:34.201909Z

measured 41 of 41 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:20:35.851104Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy28
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82b06f70-a9f9-4c1b-b531-5a130c80d532 · outbound

This paper cites Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:38.667264Z

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 fac316a1-1ac8-4bd5-850f-79af9d41d4ac · outbound

This paper cites A human-machine collaborative approach measures economic development using satellite imagery,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models A human-machine collaborative approach measures economic development using satellite imagery,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:38.474701Z

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 c5c7067e-c458-4b81-870a-88ddfe41ff30 · outbound

This paper cites War city profiles drawn from satellite images,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models War city profiles drawn from satellite images,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:38.278464Z

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 3a16312e-5a5b-46c0-af21-d85cc53e7802 · outbound

This paper cites Landsat-8: Science and product vision for terrestrial global change research,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Landsat-8: Science and product vision for terrestrial global change research,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:38.119641Z

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 59b105e4-861a-45aa-9057-bc8ee98b7a34 · outbound

This paper cites The enmap spaceborne imaging spectroscopy mission for earth observation,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models The enmap spaceborne imaging spectroscopy mission for earth observation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:37.955558Z

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 2afa2fb0-ee44-4a78-a855-e2e001756677 · outbound

This paper cites Whu-ohs: A benchmark dataset for large- scale hersepctral image classification,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Whu-ohs: A benchmark dataset for large- scale hersepctral image classification,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:37.792272Z

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 f2703fb6-45a4-440d-8573-8033bd1e512c · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models A simple framework for contrastive learning of visual representations,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:31.472714Z

Source-reported events for the cited work

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Observation eb745c80-e665-45e9-82a7-09062cc0b3b3 · outbound

This paper cites Masked au- toencoders are scalable vision learners,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Masked au- toencoders are scalable vision learners,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:31.578943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807592e7-577e-436b-819d-89096561269b · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Momentum contrast for unsupervised visual representation learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:31.621416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faca6774-1266-4d82-b134-26c7eb4dd99b · outbound

This paper cites Learning transferable visual models from natural language supervision,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Learning transferable visual models from natural language supervision,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:37.558586Z

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 87eefa6e-bd3a-444f-a4bf-e787b9b142af · outbound

This paper cites Segment anything,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Segment anything,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:37.368366Z

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 ce7e18e5-5b53-42c5-bd25-9359231c3b7e · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Emerging properties in self-supervised vision transformers,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:31.877034Z

Source-reported events for the cited work

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Observation d3d7c034-190a-405a-af29-4857ff573a05 · outbound

This paper cites Towards geospatial foundation models via continual pretraining,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Towards geospatial foundation models via continual pretraining,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:37.203244Z

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 5cbad200-a224-4c02-8c99-16269e62611a · outbound

This paper cites Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:37.057074Z

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 f959a834-901f-4d7d-98bc-68075686b2f2 · outbound

This paper cites Cross-scale mae: A tale of multiscale exploitation in remote sensing,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Cross-scale mae: A tale of multiscale exploitation in remote sensing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:36.965530Z

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 843ebec8-828e-4e7e-8efc-663ddffa7b9b · outbound

This paper cites Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:32.114035Z

Source-reported events for the cited work

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Observation b14a14a2-c4f6-4e79-9a69-6b4a2ed856d4 · outbound

This paper cites Rethinking transformers pre-training for multi-spectral satellite imagery,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Rethinking transformers pre-training for multi-spectral satellite imagery,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:36.791817Z

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 6f0f326c-acff-40ac-8cdf-7335fd9164a3 · outbound

This paper cites Spectralgpt: Spectral remote sensing foun- dation model,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Spectralgpt: Spectral remote sensing foun- dation model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:36.682312Z

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 e23b3f2e-ba35-47fa-8b55-2348a2bf838c · outbound

This paper cites HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model.

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

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Observation 9d84bdd3-f8ff-46ae-99fe-26bd70358dab · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models LoRA: Low-rank adaptation of large language models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:32.393931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5adadfae-735b-4f81-abe4-17d0f7922e92 · outbound

This paper cites Parameter efficient fine-tuning via cross block orchestration for segment anything model,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Parameter efficient fine-tuning via cross block orchestration for segment anything model,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:36.593454Z

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 351726f8-11aa-43cd-9bac-110fc6d1b0b6 · outbound

This paper cites Airs: Adapter in remote sensing for parameter-efficient transfer learning,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Airs: Adapter in remote sensing for parameter-efficient transfer learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:36.470424Z

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 1e096179-ebe6-4211-be82-258a6f8b688b · outbound

This paper cites Global land-cover mapping with weak supervision: Outcome of the 2020 ieee grss data fusion contest,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Global land-cover mapping with weak supervision: Outcome of the 2020 ieee grss data fusion contest,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:36.312756Z

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 ce42b392-7824-4625-b3b7-82d86d88df61 · outbound

This paper cites Cnn, rnn, or vit? an evaluation of different deep learning architectures for spatio-temporal representation of sentinel time series,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Cnn, rnn, or vit? an evaluation of different deep learning architectures for spatio-temporal representation of sentinel time series,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:36.191885Z

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 bc92e353-3123-4012-8a33-018a3c137a49 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:36.025717Z

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 c2249ee1-6883-4140-8cd0-1139d334f49e · outbound

This paper cites Neural plasticity-inspired multimodal foundation model for earth observation,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Neural plasticity-inspired multimodal foundation model for earth observation,

Reference 26

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Source-reported events for the cited work

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Observation 9c857ffb-74c1-43c4-965c-443582b8445e · outbound

This paper cites Geo- bench: Toward foundation models for earth monitoring,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Geo- bench: Toward foundation models for earth monitoring,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:35.859115Z

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 e06b8b9c-3e18-4887-968e-056c3e584f6c · outbound

This paper cites Hyperfree: A channel-adaptive and tuning-free foundation model for hyperspectral remote sensing imagery,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Hyperfree: A channel-adaptive and tuning-free foundation model for hyperspectral remote sensing imagery,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:35.721757Z

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 cfdbe9f6-7c00-4c7d-8495-d6112adaf031 · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Parameter-efficient transfer learning for nlp,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:33.314350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d890eae-f0af-450a-9f1b-ed8d9f79c449 · outbound

This paper cites Visual prompt tuning,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Visual prompt tuning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:33.412814Z

Source-reported events for the cited work

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Observation 0234bc46-b995-42c1-915c-399b21fb348e · outbound

This paper cites Dtl: Disentangled transfer learning for visual recognition,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Dtl: Disentangled transfer learning for visual recognition,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:35.563774Z

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 46809740-9650-4e49-b6dc-49e8a965c22f · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:33.610755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e27e33f5-b77f-4359-b718-817a4f2cc889 · outbound

This paper cites Enhancing few-shot out-of-distribution detection with pre-trained model features,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Enhancing few-shot out-of-distribution detection with pre-trained model features,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:35.454158Z

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 740a8415-d1f1-493b-882a-d1539936b2da · outbound

This paper cites Hada: Hyper-adaptive parameter-efficient learning for multi-view convnets,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Hada: Hyper-adaptive parameter-efficient learning for multi-view convnets,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:35.268936Z

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 238c719b-e4ea-464f-b924-f92402a9c311 · outbound

This paper cites Parameter efficient self-supervised geospatial domain adaptation,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Parameter efficient self-supervised geospatial domain adaptation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:35.127749Z

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 416665ed-b2f8-4880-bcc0-1e5e8685ab1c · outbound

This paper cites Alps: An auto-labeling and pre-training scheme for remote sensing segmentation with segment anything model,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Alps: An auto-labeling and pre-training scheme for remote sensing segmentation with segment anything model,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:34.980603Z

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 288fd89f-931e-4ce3-81a5-f8865e17d196 · outbound

This paper cites Unified perceptual parsing for scene understanding,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Unified perceptual parsing for scene understanding,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:34.845829Z

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 17af51ef-6f44-4b4c-bad1-3491cfb83fcb · outbound

This paper cites Spatial structure constraints for weakly supervised semantic segmentation,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Spatial structure constraints for weakly supervised semantic segmentation,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:34.050373Z

Source-reported events for the cited work

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Observation 3ba49b75-61f6-457a-a699-6be01c8c808e · outbound

This paper cites Energy- based domain adaptation without intermediate domain dataset for foggy scene segmentation,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Energy- based domain adaptation without intermediate domain dataset for foggy scene segmentation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:34.748021Z

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 d1840f0d-aa72-467d-b053-a7d6fe3c2148 · outbound

This paper cites Dual-stage hyperspectral image classification model with spectral supertoken,.

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models Dual-stage hyperspectral image classification model with spectral supertoken,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:30:34.659942Z

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.

Pith citing papers

Observation a78c9aec-41f7-42f2-9107-4a71616e982a · inbound

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation cites this paper.

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T20:20:35.851104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.