Paper Citation Record · LEDGER

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2110.08733.

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

pith.paper-citation-record.v1
2110.08733 v6

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:56.816435Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.448594Z

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External citation measurements

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Outbound references

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Pith citing papers

Observation 00b82356-590e-49e0-ad28-1bd51168584e · inbound

RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts cites this paper.

RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 71

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Observation cfbd9aa4-c501-487c-a2ed-ee13663a1fbe · inbound

ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model cites this paper.

ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 22

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Observation 82245b45-9e6f-4696-833e-27e8ecdcf046 · inbound

Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation cites this paper.

Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 43

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Observation 50e3dd27-7dbb-44a7-833d-9b41275f0374 · inbound

Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation cites this paper.

Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 41

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Observation 95fa38f1-fb0f-44f2-a50e-ae3e7eed454c · inbound

A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation cites this paper.

A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 81

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Observation 25dffc28-09c8-428d-be03-b99b8ccb5394 · inbound

EarthSynth: Generating Informative Earth Observation with Diffusion Models cites this paper.

EarthSynth: Generating Informative Earth Observation with Diffusion Models LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 47

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Observation 7d6ceb15-0e86-4078-93e3-4370a6a1ae61 · inbound

Spatial-Temporal-Spectral Unified Modeling for Remote Sensing Dense Prediction cites this paper.

Spatial-Temporal-Spectral Unified Modeling for Remote Sensing Dense Prediction LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 40

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Observation ced89052-3caa-481e-aa57-8649b0c9e22c · inbound

Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts cites this paper.

Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 70

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Observation 60173593-fd8b-4dc6-b13b-60a95f6fffa3 · inbound

RemoteSAM: Towards Segment Anything for Earth Observation cites this paper.

RemoteSAM: Towards Segment Anything for Earth Observation LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 67

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Observation 75bbd2d4-0f40-4908-a1b8-84ec5e7818ba · inbound

A Transfer Learning-Based Method for Water Body Segmentation in Remote Sensing Imagery: A Case Study of the Zhada Tulin Area cites this paper.

A Transfer Learning-Based Method for Water Body Segmentation in Remote Sensing Imagery: A Case Study of the Zhada Tulin Area LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 39

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Observation b24d66e7-be21-4d46-84ac-f352204fef2f · inbound

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation cites this paper.

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 60

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Observation 62ecde67-006a-4473-a79e-0b84d1e5f67c · inbound

SatDINO: A Deep Dive into Self-Supervised Pretraining for Remote Sensing cites this paper.

SatDINO: A Deep Dive into Self-Supervised Pretraining for Remote Sensing LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 25

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Observation f762fd6c-4631-4944-825e-3f26df37cee8 · inbound

SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery cites this paper.

SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 39

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Observation 858a06a0-625f-4ba4-b92b-f1eee1bfec93 · 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 LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 66

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Observation 6134671d-3341-45ae-86fe-5a1132893cf2 · inbound

UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes cites this paper.

UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 62

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Source-reported events for the cited work

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Observation 2d25bb95-0db3-4e92-b32e-c6858870589a · inbound

Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems cites this paper.

Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 130

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Observation c19eb15c-9a00-4496-8e9b-8a493c1ea0e2 · inbound

Mitigating Long-Tail Bias via Prompt-Controlled Diffusion Augmentation cites this paper.

Mitigating Long-Tail Bias via Prompt-Controlled Diffusion Augmentation LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 3

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Observation 768bfaff-b94e-4013-b409-f4460e0bc8b1 · inbound

Rotation Equivariant Mamba for Vision Tasks cites this paper.

Rotation Equivariant Mamba for Vision Tasks LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 74

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NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing cites this paper.

NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 35

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NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing cites this paper.

NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 35

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Observation 83f2b4d0-dc4f-49a7-a9cb-b3bb7042351c · inbound

ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow cites this paper.

ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 8

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Observation 9d351084-482f-42fe-b73f-9ffe96f0cca5 · inbound

ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow cites this paper.

Reference 8

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GeoMMBench and GeoMMAgent: Toward Expert-Level Multimodal Intelligence in Geoscience and Remote Sensing cites this paper.

GeoMMBench and GeoMMAgent: Toward Expert-Level Multimodal Intelligence in Geoscience and Remote Sensing LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:51:00.383647Z

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Remote Sensing Image Super-Resolution for Imbalanced Textures: A Texture-Aware Diffusion Framework cites this paper.

Remote Sensing Image Super-Resolution for Imbalanced Textures: A Texture-Aware Diffusion Framework LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 25

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Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline cites this paper.

Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 94

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Diffusion Model as a Generalist Segmentation Learner cites this paper.

Diffusion Model as a Generalist Segmentation Learner LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 86

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Observation 11635ec9-59b0-4232-a4e5-f4fd184e1630 · inbound

Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation cites this paper.

Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:26.694487Z

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Muon in Vision Transformers: Optimizer-Recipe Interactions and Gradient Spectra cites this paper.

Muon in Vision Transformers: Optimizer-Recipe Interactions and Gradient Spectra LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 33

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RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction cites this paper.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:23:51.038489Z

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Observation 82ddf8b8-b8d7-4615-ae12-da508ef5d8df · inbound

State Space Models Meet Remote Sensing: A Survey cites this paper.

State Space Models Meet Remote Sensing: A Survey LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:30:07.449957Z

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Observation ff9b41c3-cfd6-476a-a285-7ea9be2d2022 · inbound

FROST: Training-Free Few-Shot Segmentation with Frozen Features and Nonparametric Statistics cites this paper.

FROST: Training-Free Few-Shot Segmentation with Frozen Features and Nonparametric Statistics LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:55:35.969196Z

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InduceKV: Fixed-Footprint Continual Adaptation of Multimodal LLMs via Inducing KV Memories cites this paper.

InduceKV: Fixed-Footprint Continual Adaptation of Multimodal LLMs via Inducing KV Memories LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 66

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Text as Partial Constraint: Core-Residual Alignment for Robust Vision-Language Learning cites this paper.

Text as Partial Constraint: Core-Residual Alignment for Robust Vision-Language Learning LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 92

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Observation a6c04ad5-fb5e-4b82-9262-50637cb2fc94 · inbound

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion cites this paper.

Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 24

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Observation bb117d60-4102-41ee-b021-fd625b946b68 · inbound

GeoSeg-OV: Bridging Geospatial Gaps with Structural Guidance for Open-Vocabulary Remote Sensing Segmentation cites this paper.

GeoSeg-OV: Bridging Geospatial Gaps with Structural Guidance for Open-Vocabulary Remote Sensing Segmentation LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 41

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