Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:16.430049Z
Paper Citation Record · LEDGER
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
As of 10 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 3 inbound Pith citation observations for arXiv:2506.06176.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:10:15.899510Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T12:53:06.591808Z
Reference resolution
58 of 58 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation dc236639-48b2-4f59-80e0-07542987de33 · outbound
This paper cites Ticino: A multi-modal remote sensing dataset for semantic segmentation.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Ticino: A multi-modal remote sensing dataset for semantic segmentation
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 74a1fc21-7580-4f77-a909-1660cbec9275 · outbound
This paper cites Neural symbolic regression that scales.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Neural symbolic regression that scales
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 268ab852-ef87-43ce-8fd0-195ba4f249cb · outbound
This paper cites Neural symbolic regression that scales.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Neural symbolic regression that scales
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2840efb1-2b83-451b-9b90-ea8db74e2da3 · outbound
This paper cites Brunton, Joshua L.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Brunton, Joshua L
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e6531ca-ab39-470c-9d68-91fbafde07c6 · outbound
This paper cites Xgboost: A scalable tree boosting system.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Xgboost: A scalable tree boosting system
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c25c5592-9521-4267-ad23-0dafb716824f · outbound
This paper cites A survey on object detection in optical remote sensing images.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery A survey on object detection in optical remote sensing images
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1f07620a-8ad4-426a-9574-4eee5dc1377e · outbound
This paper cites Srbench++: Principled benchmarking of symbolic regression with domain-expert interpretation.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Srbench++: Principled benchmarking of symbolic regression with domain-expert interpretation
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c20e31bd-7c6f-4128-a6d9-83b13b111172 · outbound
This paper cites Open-Canopy: Towards Very High Resolution Forest Monitoring.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Open-Canopy: Towards Very High Resolution Forest Monitoring
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b06a4df-e656-4e5a-9ec6-1a8f358bd0ad · outbound
This paper cites Church: a language for generative models.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Church: a language for generative models
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff166317-ff13-48af-8b76-7a9a44fca792 · outbound
This paper cites Remote sensing object detection in the deep learning era—a review.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Remote sensing object detection in the deep learning era—a review
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation adeb20b5-5b08-42d1-9d4c-12bffd17ead2 · outbound
This paper cites Deep residual learning for image recognition.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Deep residual learning for image recognition
Reference 12
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a710b28-7c60-40ec-87b2-95993e525545 · outbound
This paper cites Advancing ai-driven geospatial analysis and data generation: Methods, applications and future directions, 2025.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Advancing ai-driven geospatial analysis and data generation: Methods, applications and future directions, 2025
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a3a2b0d2-9e90-4caa-83a0-528118d9371b · outbound
This paper cites Root mean square error (rmse) or mean absolute error (mae): When to use them or not.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Root mean square error (rmse) or mean absolute error (mae): When to use them or not
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9bca33bc-0a18-428b-9b74-de60885f8023 · outbound
This paper cites Opening the black box: A systematic review on explainable artificial intelligence in remote sensing.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Opening the black box: A systematic review on explainable artificial intelligence in remote sensing
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4b6780fb-8e7c-472d-a827-20b913a37d38 · outbound
This paper cites Development of vegetation and soil indices for remote sensing.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Development of vegetation and soil indices for remote sensing
Reference 16
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b2d17d4f-74f7-488f-9c05-a8f24c0146cd · outbound
This paper cites Evaluating the sustainable development science satellite 1 (sdgsat-1) multi-spectral data for river water mapping: A comparative study with sentinel-2.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Evaluating the sustainable development science satellite 1 (sdgsat-1) multi-spectral data for river water mapping: A comparative study with sentinel-2
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a881eb8d-c80c-41bd-aa35-a75e3667ecfa · outbound
This paper cites 2020 State of the Octoverse: Securing the World's Software.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery 2020 State of the Octoverse: Securing the World's Software
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0a901215-6b60-413f-85a8-3c665261201f · outbound
This paper cites End-to- end symbolic regression with transformers.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery End-to- end symbolic regression with transformers
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 672b2ab1-e607-48ce-9b52-d8965453ea1b · outbound
This paper cites an unresolved cited work.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Unresolved cited work
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation a16506b8-6553-4b32-bee3-d60888b835b9 · outbound
This paper cites Tackling the accuracy-interpretability trade-off: Interpretable deep learning models for satellite image-based real estate appraisal.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Tackling the accuracy-interpretability trade-off: Interpretable deep learning models for satellite image-based real estate appraisal
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation da110ab1-fdb9-43bf-8fb2-259b0ee311b2 · outbound
This paper cites Efficient Quantum State Synthesis with One Query.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Efficient Quantum State Synthesis with One Query
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a5f80f4-9ef2-46cd-8b90-cf7c4f26cc0c · outbound
This paper cites Elite-guided resampling and multi-mutation based differential evolution with exponential crossover for numerical optimization.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Elite-guided resampling and multi-mutation based differential evolution with exponential crossover for numerical optimization
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 069cefe9-b5ca-444e-ae2e-325631a1f2bb · outbound
This paper cites Advancing symbolic regression for earth science with a focus on evapotranspiration modeling.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Advancing symbolic regression for earth science with a focus on evapotranspiration modeling
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6b9d375a-0487-40b3-9e64-e79620de8efd · outbound
This paper cites Vision-language models in remote sensing: Current progress and future trends.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Vision-language models in remote sensing: Current progress and future trends
Reference 25
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb08c559-29d0-48f6-bea5-e69a8b9fcbc6 · outbound
This paper cites Mmsr: Symbolic regression is a multi-modal information fusion task.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Mmsr: Symbolic regression is a multi-modal information fusion task
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cc64939d-1696-46dd-9ef3-b4964342c458 · outbound
This paper cites Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
Reference 27
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 56a4ee40-a4d2-43be-9a64-20a0597283ea · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Swin transformer: Hierarchical vision transformer using shifted windows
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33479527-5f05-43be-93e8-ec7d9318b262 · outbound
This paper cites Interpretable scientific discovery with symbolic regression: a review.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Interpretable scientific discovery with symbolic regression: a review
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1e3e6a26-0b59-4ed0-8853-5d8b3a2eac05 · outbound
This paper cites A general and simple method for obtaining r2 from generalized linear mixed-effects models.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery A general and simple method for obtaining r2 from generalized linear mixed-effects models
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7adc0f20-0672-47a7-81fb-48cdc2a58881 · outbound
This paper cites Who is responsible? the data, models, users or regulations? a comprehensive survey on responsible generative ai for a sustainable future.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Who is responsible? the data, models, users or regulations? a comprehensive survey on responsible generative ai for a sustainable future
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a03f6f1f-05ec-4ea5-ac4c-2bb53de39139 · outbound
This paper cites Multi-modal llms in agriculture: A comprehensive review.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Multi-modal llms in agriculture: A comprehensive review
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 05498c00-8f16-4a9b-9510-7e00a52f4ce8 · outbound
This paper cites Transformer-based planning for symbolic regression.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Transformer-based planning for symbolic regression
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 95abbebf-e7db-4962-b685-e9a26c86301e · outbound
This paper cites Comparative analysis of different vegetation indices with respect to atmospheric particulate pollution using sentinel data.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Comparative analysis of different vegetation indices with respect to atmospheric particulate pollution using sentinel data
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f7753fd1-e98f-400b-9300-3b1b54eb9865 · outbound
This paper cites Spatiotemporal analysis of xco2 and its relationship to urban and green areas of china’s major southern cities from remote sensing and wrf-chem modeling data from 2010 to 2019.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Spatiotemporal analysis of xco2 and its relationship to urban and green areas of china’s major southern cities from remote sensing and wrf-chem modeling data from 2010 to 2019
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1d2b1baa-8ad3-4f69-98ad-2350ec8e12ac · outbound
This paper cites Ai feynman: A physics-inspired method for symbolic regression.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Ai feynman: A physics-inspired method for symbolic regression
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b3c79ca6-8478-421f-85c2-89d8d1a80575 · outbound
This paper cites Ai feynman: A physics-inspired method for symbolic regression.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Ai feynman: A physics-inspired method for symbolic regression
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 941820e3-4d1e-4f90-9593-da7cc0c14bdc · outbound
This paper cites SymbolicGPT: A Generative Transformer Model for Symbolic Regression.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery SymbolicGPT: A Generative Transformer Model for Symbolic Regression
Reference 40
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a30d033a-dcfd-4936-98b9-5a2cb24c3671 · outbound
This paper cites Symformer: End-to-end symbolic regression using transformer-based architecture.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Symformer: End-to-end symbolic regression using transformer-based architecture
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:04:20.538069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 977e1dbe-a891-4020-9f89-8d11df5172b7 · outbound
This paper cites Attention is all you need.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Attention is all you need
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23ce3b3a-2719-4760-b88e-fba1e84ee349 · outbound
This paper cites Clevers, and José Moreno.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Clevers, and José Moreno
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1cfcbcad-1833-4bbc-adfa-28d37b426999 · outbound
This paper cites Earthvqa: Towards queryable earth via relational reasoning-based remote sensing visual question answering.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Earthvqa: Towards queryable earth via relational reasoning-based remote sensing visual question answering
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:04:20.205542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dbc3b4ec-2d64-4318-a8cd-c611bed6629c · outbound
This paper cites Multi-batch nuclear-norm adversarial network for unsupervised domain adaptation.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Multi-batch nuclear-norm adversarial network for unsupervised domain adaptation
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:04:19.934750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5fe2e1a5-a19d-4cc4-b2f1-41174880af1d · outbound
This paper cites A comprehensive review of spatial-temporal-spectral information reconstruction techniques.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery A comprehensive review of spatial-temporal-spectral information reconstruction techniques
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:04:19.630642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 68aff439-3d56-401b-aa35-e5e2fd3c3088 · outbound
This paper cites Multimodal learning with transformers: A survey.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Multimodal learning with transformers: A survey
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94578455-06cc-4932-b9b8-7c99ba9cd51f · outbound
This paper cites A method for generating fractal art patterns based on genetic algorithm.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery A method for generating fractal art patterns based on genetic algorithm
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:04:19.260417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 22fd473f-a6e7-4a59-8567-6efb58f8219b · outbound
This paper cites Computer generated colorized image forgery detection using vlad encoding and svm.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Computer generated colorized image forgery detection using vlad encoding and svm
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:04:18.879486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4add5478-52f8-4af3-8ab1-6d4274b08927 · outbound
This paper cites A survey on neural-symbolic learning systems.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery A survey on neural-symbolic learning systems
Reference 50
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b995a25-04c9-453f-a724-0929e6320759 · outbound
This paper cites Capan: Class-aware prototypical adversarial networks for unsupervised domain adaptation.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Capan: Class-aware prototypical adversarial networks for unsupervised domain adaptation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:04:18.531792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ee17f0db-7b1f-45e2-a243-8f9ff0936677 · outbound
This paper cites Rainy: Unlocking Satellite Calibration for Deep Learning in Precipitation.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Rainy: Unlocking Satellite Calibration for Deep Learning in Precipitation
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:04:15.481440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 221d0042-2d19-4532-96c0-9dc44911acab · outbound
This paper cites SatelliteCalculator: A Multi-Task Vision Foundation Model for Quantitative Remote Sensing Inversion.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery SatelliteCalculator: A Multi-Task Vision Foundation Model for Quantitative Remote Sensing Inversion
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:04:15.585247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30c2144e-adfb-40e2-b729-7cb1e52cdca2 · outbound
This paper cites DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:04:15.664610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8002771b-497b-4ca0-a8ef-8aed4607fb45 · outbound
This paper cites Point-driven interactive text and image layer editing using diffusion models.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Point-driven interactive text and image layer editing using diffusion models
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:04:15.840580Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11d60efe-4855-4159-a59f-3827af2879f8 · outbound
This paper cites A Diffusion-Based Framework for Terrain-Aware Remote Sensing Image Reconstruction.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery A Diffusion-Based Framework for Terrain-Aware Remote Sensing Image Reconstruction
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:04:15.970741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d570e9b-99a0-44b1-a559-aade52144924 · outbound
This paper cites ForgetMe: Evaluating Selective Forgetting in Generative Models.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery ForgetMe: Evaluating Selective Forgetting in Generative Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:04:16.067072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a71a6ca8-98cb-4763-a290-c35904840e34 · outbound
This paper cites Qrs-trs: Style transfer-based image-to-image translation for carbon stock estimation in quantitative remote sensing.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Qrs-trs: Style transfer-based image-to-image translation for carbon stock estimation in quantitative remote sensing
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:04:18.287371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 975a2d85-7122-41a6-99e6-d74d4b5cd9fd · outbound
This paper cites Current advances in imaging spectroscopy and its state-of-the-art applications.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Current advances in imaging spectroscopy and its state-of-the-art applications
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:04:18.089799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a2666ebf-e692-4feb-9064-23edd24985fb · outbound
This paper cites Discovering a reaction–diffusion model for alzheimer’s disease by combining pinns with symbolic regression.Computer Methods in Applied Mechanics and Engineering, 419:116647, 2024.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Discovering a reaction–diffusion model for alzheimer’s disease by combining pinns with symbolic regression.Computer Methods in Applied Mechanics and Engineering, 419:116647, 2024
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:04:17.961778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d3df16c4-630d-40ab-b02b-ebd26b724e3e · outbound
This paper cites Deep learning in remote sensing: A comprehensive review and list of resources.
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery Deep learning in remote sensing: A comprehensive review and list of resources
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:04:16.430049Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation a81f63e2-971b-48fb-82fe-b5876ca64619 · inbound
From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion cites this paper.
From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:10:15.899510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83ff47ea-c18b-45ab-a8c6-03eb1833c6be · inbound
Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.
Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T12:53:06.597121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ae77e069-3132-4568-a284-650c9ccbbf00 · inbound
A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.
A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:53:14.645187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.