Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:44:15.779107Z
Paper Citation Record · LEDGER
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models
As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.07527.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
52 of 52 outbound references displayed
- verified exact2
- verified fuzzy33
- unresolved17
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5f69ffe4-f176-4f33-8f95-04c38bc41823 · outbound
This paper cites Flood Detection with SAR: A re- view of Techniques and Datasets.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Flood Detection with SAR: A re- view of Techniques and Datasets
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.309006Z
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.
Observation 86fa649d-2ca8-4ad8-81dc-415e95bea55a · outbound
This paper cites Multimodal Machine Learning: A Survey and Tax- onomy.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Multimodal Machine Learning: A Survey and Tax- onomy
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.299690Z
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.
Observation 94d94513-e687-4ce4-a576-628bf7dbe76c · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models On the Opportunities and Risks of Foundation Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.622616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bcebdad-e93c-457b-8f21-e7b351bcbb88 · outbound
This paper cites Language Models are Few-Shot Learners.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Language Models are Few-Shot Learners
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.626200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3a1af33-37a3-4b2b-be1f-5bf5453e9d8f · outbound
This paper cites CAL FIRE Incidents.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models CAL FIRE Incidents
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.289645Z
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.
Observation d3ba832c-78c0-4ebd-9eef-6bace2cbf933 · outbound
This paper cites Cali- fornia Fire Perimeters (all).
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Cali- fornia Fire Perimeters (all)
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.280259Z
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.
Observation 12531476-27c5-4625-86ff-b04114163c8c · outbound
This paper cites MV-MOE: A Visual Mixture-of-Experts Model for Optical-SAR Image Match- ing.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models MV-MOE: A Visual Mixture-of-Experts Model for Optical-SAR Image Match- ing
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.270608Z
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.
Observation f1146e84-1fad-4347-868b-059aa97b1fdd · outbound
This paper cites Big Data for Remote Sensing: Challenges and Opportunities.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Big Data for Remote Sensing: Challenges and Opportunities
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.260835Z
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.
Observation 58edb016-299a-4aa6-b508-0891f7279584 · outbound
This paper cites Com- parison of Burn Severity Assessments using Differenced Normalized Burn Ratio and Ground Data.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Com- parison of Burn Severity Assessments using Differenced Normalized Burn Ratio and Ground Data
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.251231Z
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.
Observation 2fd1fde2-0488-44d2-ad68-88bb8865b496 · outbound
This paper cites SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.646501Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15d58791-0396-4ea5-82d1-40558943fcb8 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.649820Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac4436c4-e07d-46ea-aaac-f55f028d5443 · outbound
This paper cites Sentinel-2: ESA’s optical high-resolution mission for GMES operational services.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Sentinel-2: ESA’s optical high-resolution mission for GMES operational services
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.242213Z
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.
Observation 5958ab31-3b25-4707-a182-527e576e1bc0 · outbound
This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.233292Z
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.
Observation 36669fc4-129c-4a4b-86c5-80f8af1966b1 · outbound
This paper cites Normalized burn ratio (NBR).
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Normalized burn ratio (NBR)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.224001Z
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.
Observation 2d3d644a-3ff7-4907-b278-c3aaf8bdff2c · outbound
This paper cites WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:44:15.936863Z
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.
Observation 81c773e0-c104-4218-acad-66117bba1861 · outbound
This paper cites Skysense: A Multi-modal Remote Sensing Foundation Model Towards Universal Interpreta- tion for Earth Observation Imagery.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Skysense: A Multi-modal Remote Sensing Foundation Model Towards Universal Interpreta- tion for Earth Observation Imagery
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.214590Z
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.
Observation d9090562-2f97-4f72-bfcd-59316c513a66 · outbound
This paper cites Multisensory Geospatial Models via Cross-Sensor Pre- training.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Multisensory Geospatial Models via Cross-Sensor Pre- training
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.205076Z
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.
Observation d869e519-7b58-40d1-a277-765d2a3e5769 · outbound
This paper cites Sparse multimodal vision transformer for weakly supervised seman- tic segmentation.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Sparse multimodal vision transformer for weakly supervised seman- tic segmentation
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.195566Z
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.
Observation 742d8ee9-9afa-4dc2-aa75-f225e61d4b83 · outbound
This paper cites Masked Autoencoders are Scal- able Vision Learners.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Masked Autoencoders are Scal- able Vision Learners
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.186260Z
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.
Observation ff982127-84c5-4a94-bb21-49368d836327 · outbound
This paper cites Distilling the Knowledge in a Neural Network.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Distilling the Knowledge in a Neural Network
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.677507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d72b1e8-70fd-440e-9838-37e74dd75207 · outbound
This paper cites SpectralGPT: Spectral Remote Sensing Foun- dation Model.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models SpectralGPT: Spectral Remote Sensing Foun- dation Model
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.176175Z
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.
Observation 4da39e5c-a0be-4b95-b063-3cc4206fb5c7 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models LoRA: Low-Rank Adaptation of Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.683174Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24f25c98-67c6-44d4-8fd6-baaa7f60b5cf · outbound
This paper cites DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.686003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc3ede29-af26-4f57-8d9e-30906a22e6ce · outbound
This paper cites Scaling Laws for Neural Language Models.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Scaling Laws for Neural Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.689377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd7a8ef5-e5b8-4c43-89f1-59ef25d39026 · outbound
This paper cites Segment Any- thing.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Segment Any- thing
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.166988Z
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.
Observation 888a99e1-e8b7-480a-8a86-ef806922015b · outbound
This paper cites Multimodal Foundation Models: From Specialists to General-purpose Assistants.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Multimodal Foundation Models: From Specialists to General-purpose Assistants
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.157415Z
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.
Observation b2226105-b63b-4668-8340-d2cf25b8bdf0 · outbound
This paper cites Remote Sensing and Image Interpretation.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Remote Sensing and Image Interpretation
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.147755Z
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.
Observation 65c5ec45-8f17-4e75-acde-e2ec27ec8918 · outbound
This paper cites RS-MoE: A Vision-Language Model with Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models RS-MoE: A Vision-Language Model with Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:44:15.884127Z
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.
Observation 24150172-6649-4036-bbcf-77b5b22c47d7 · outbound
This paper cites MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.705658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3fc4361-aa2b-4515-b652-e06b8b4694f5 · outbound
This paper cites Decoupled Weight De- cay Regularization.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Decoupled Weight De- cay Regularization
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.138266Z
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.
Observation f1672302-2f68-405d-b802-b840027be999 · outbound
This paper cites Vision Foundation Models in Remote Sensing: A Survey.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Vision Foundation Models in Remote Sensing: A Survey
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.711701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d9cb11a-0937-453d-a547-7e128c45ac28 · outbound
This paper cites Ben-ge: Extending BigEarthNet with geographical and environmen- tal data.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Ben-ge: Extending BigEarthNet with geographical and environmen- tal data
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.129030Z
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.
Observation e93899d6-2853-41c5-ae8f-f3841083efcb · outbound
This paper cites MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.721344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15cf0d9b-1271-428f-8636-6f8b520aa00e · outbound
This paper cites Learning Transferable Visual Models from Natural Language Super- vision.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Learning Transferable Visual Models from Natural Language Super- vision
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.118857Z
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.
Observation 3164c0d8-809e-4ce4-91fe-1a2887ed6974 · outbound
This paper cites Sen12-flood: a SAR and Multispectral Dataset for Flood Detection.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Sen12-flood: a SAR and Multispectral Dataset for Flood Detection
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.110024Z
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.
Observation aea04bbd-11e9-4bd7-9c19-4a6b4b9944f1 · outbound
This paper cites Scale-MAE: A Scale- Aware Masked Autoencoder for Multiscale Geospatial Rep- resentation Learning.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Scale-MAE: A Scale- Aware Masked Autoencoder for Multiscale Geospatial Rep- resentation Learning
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.099300Z
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.
Observation 388d5fb9-54d2-4514-a1a6-6997192a1bef · outbound
This paper cites Scaling Vision with Sparse Mix- ture of Experts.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Scaling Vision with Sparse Mix- ture of Experts
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.090060Z
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.
Observation d3ee1c23-2075-44cd-82eb-04947f6ad775 · outbound
This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models U-Net: Convolutional Networks for Biomedical Image Segmentation
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.736796Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4df59ac-8787-423c-8d55-b1d94abf56af · outbound
This paper cites Self-supervised Vision Transformers for Land-cover Segmentation and Classification.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Self-supervised Vision Transformers for Land-cover Segmentation and Classification
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.081100Z
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.
Observation fcb11f83-624e-41ef-8a9f-2e6ba52ded8e · outbound
This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.742690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9111178-fda7-4a0b-bfae-deb9e38aa7e8 · outbound
This paper cites Neural Net Pruning-Why and How.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Neural Net Pruning-Why and How
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.071545Z
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.
Observation 02697eee-a0e3-4e37-a8ff-92ece962a9c5 · outbound
This paper cites Ap- plications of Remote Sensing in Precision Agriculture: A Review.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Ap- plications of Remote Sensing in Precision Agriculture: A Review
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.061876Z
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.
Observation 9dd143b2-0f94-402d-a478-d3b389b4c4c7 · outbound
This paper cites an unresolved cited work.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T18:44:16.053043Z
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.
Observation e528898e-445b-488e-9e2e-29b99d85bf56 · outbound
This paper cites Remote Sensing Plat- forms and Sensors: A Survey.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Remote Sensing Plat- forms and Sensors: A Survey
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.044084Z
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.
Observation 2bc68cd1-6b52-4097-a875-df7cde3e0ff6 · outbound
This paper cites Attention is all you need.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Attention is all you need
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.034796Z
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.
Observation a47c140c-a306-49b5-ad2d-cc42dcf3fab8 · outbound
This paper cites HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model.
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 65677ff6-b954-45ec-b3b0-c5fcfe0008c4 · outbound
This paper cites Foundation Models for Remote Sensing and Earth Observation: A Survey.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Foundation Models for Remote Sensing and Earth Observation: A Survey
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:44:15.763997Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65ac1106-c2b3-42e0-9b2f-8a282542be4d · outbound
This paper cites Stewart, Joelle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, and Xiao Xiang Zhu.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Stewart, Joelle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, and Xiao Xiang Zhu
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.025242Z
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.
Observation 61807f48-f92c-4fb8-8a8c-6eb013cfba6f · outbound
This paper cites RingMo-SAM: A Foundation Model for Segment Any- thing in Multimodal Remote-sensing Images.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models RingMo-SAM: A Foundation Model for Segment Any- thing in Multimodal Remote-sensing Images
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.015012Z
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.
Observation f335e623-ee61-4bb9-afee-088041212ef8 · outbound
This paper cites Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:16.005243Z
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.
Observation 9316fa16-2fa6-465a-80d2-6426a9de878b · outbound
This paper cites In each k-shot experiment, we randomly select k samples for every class from the training set.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models In each k-shot experiment, we randomly select k samples for every class from the training set
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:44:15.995520Z
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.
Observation e8275768-f1a3-4dc1-b379-19dab1e100d9 · outbound
This paper cites an unresolved cited work.
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T18:44:15.985705Z
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.
Pith citing papers
No inbound Pith citation observations are available.