Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:40.475109Z
Paper Citation Record · LEDGER
RemoteSAM: Towards Segment Anything for Earth Observation
As of 7 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 4 inbound Pith citation observations for arXiv:2505.18022.
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, observed 2026-08-02T16:10:02.906054Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:40:59.536689Z
Reference resolution
88 of 88 outbound references displayed
- verified exact2
- verified fuzzy65
- unresolved20
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 56621087-da4a-4cd5-abb7-ae4a44d2c91b · outbound
This paper cites Fmars: Annotating remote sensing images for disas- ter management using foundation models.
RemoteSAM: Towards Segment Anything for Earth Observation Fmars: Annotating remote sensing images for disas- ter management using foundation models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:29.437590Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d387e6b1-6410-4932-91e4-b2032527d8da · outbound
This paper cites Foundation models defining a new era in vision: a survey and outlook.
RemoteSAM: Towards Segment Anything for Earth Observation Foundation models defining a new era in vision: a survey and outlook
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:29.577949Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b32e0cd8-42cc-43a3-b657-f680576b0a5f · outbound
This paper cites Grounding everything: Emerging localiza- tion properties in vision-language transformers.
RemoteSAM: Towards Segment Anything for Earth Observation Grounding everything: Emerging localiza- tion properties in vision-language transformers
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:29.727012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f6122d9-4b14-4f32-89e5-0eba73ba3cad · outbound
This paper cites Learned embed- ding fields for multi-source, multi-temporal earth observa- tion imagery.
RemoteSAM: Towards Segment Anything for Earth Observation Learned embed- ding fields for multi-source, multi-temporal earth observa- tion imagery
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:29.879196Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 653c4e72-11e0-4e9b-bea7-b64e492ea7ca · outbound
This paper cites A billion-scale foundation model for remote sensing images.
RemoteSAM: Towards Segment Anything for Earth Observation A billion-scale foundation model for remote sensing images
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:29.974562Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ac2a643-88e3-4729-ae2c-c4b3ffee19b2 · outbound
This paper cites What makes for good image captions?, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation What makes for good image captions?, 2024
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:30.082993Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5415d56-d47f-4837-89f6-02530175036a · outbound
This paper cites Subobject-level Image Tokenization.
RemoteSAM: Towards Segment Anything for Earth Observation Subobject-level Image Tokenization
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:30.208714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b63959e0-28e3-45cd-bf68-21825bdc6786 · outbound
This paper cites Remote sensing of diverse urban environments: From the single city to multiple cities.RSE, 305:114108,.
RemoteSAM: Towards Segment Anything for Earth Observation Remote sensing of diverse urban environments: From the single city to multiple cities.RSE, 305:114108,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:30.361482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c7226f3-4880-44db-9cf5-9b04b4690689 · outbound
This paper cites Fleet, and Ge- offrey Hinton.
RemoteSAM: Towards Segment Anything for Earth Observation Fleet, and Ge- offrey Hinton
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:30.478005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a583835b-5ab3-4eeb-be12-58c43106177d · outbound
This paper cites Fleet, and Geoffrey Hinton.
RemoteSAM: Towards Segment Anything for Earth Observation Fleet, and Geoffrey Hinton
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:55.402778Z
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 00ec97cf-7763-4ef2-8a9d-d889b836f89a · outbound
This paper cites Mask grounding for referring image seg- mentation.
RemoteSAM: Towards Segment Anything for Earth Observation Mask grounding for referring image seg- mentation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:55.174508Z
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 6384034f-97b0-43c7-b1ad-69208ba8e5ad · outbound
This paper cites Cross-aware early fusion with stage-divided vision and language trans- former encoders for referring image segmentation.IEEE TMM, 26:5823–5833, 2023.
RemoteSAM: Towards Segment Anything for Earth Observation Cross-aware early fusion with stage-divided vision and language trans- former encoders for referring image segmentation.IEEE TMM, 26:5823–5833, 2023
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:55.048655Z
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 3be89101-7464-4bd7-9405-fa6657251919 · outbound
This paper cites Functional map of the world.
RemoteSAM: Towards Segment Anything for Earth Observation Functional map of the world
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:54.873541Z
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 a6d577a4-ec82-4172-b382-65d10e356960 · outbound
This paper cites Satmae: Pre-training transformers for tem- poral and multi-spectral satellite imagery.NeurIPS, 35:197– 211, 2022.
RemoteSAM: Towards Segment Anything for Earth Observation Satmae: Pre-training transformers for tem- poral and multi-spectral satellite imagery.NeurIPS, 35:197– 211, 2022
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:54.707910Z
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 f465854b-e2cf-452c-bdb4-e401f253de23 · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
RemoteSAM: Towards Segment Anything for Earth Observation Imagenet: A large-scale hierarchical image database
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:54.306647Z
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 4b8cd8fd-af2b-4bf9-bacd-a1e606d6ebb3 · outbound
This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.
RemoteSAM: Towards Segment Anything for Earth Observation Bert: Pre-training of deep bidirectional trans- formers for language understanding
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:54.176912Z
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 963a1dc1-5d15-4648-b204-458244225179 · outbound
This paper cites Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation.
RemoteSAM: Towards Segment Anything for Earth Observation Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:31.452280Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0c9e451-f8e4-4f1f-a04d-b8afaa5edb4b · outbound
This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.
RemoteSAM: Towards Segment Anything for Earth Observation MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:31.554103Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8aec6e65-6a32-4022-8493-ea2f0f593b71 · outbound
This paper cites Beyond one-to-one: Re- thinking the referring image segmentation.
RemoteSAM: Towards Segment Anything for Earth Observation Beyond one-to-one: Re- thinking the referring image segmentation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:54.011628Z
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 446fe35a-3a61-4aca-bf24-f19451e8017d · outbound
This paper cites Bi-directional relationship inferring network for referring image segmentation.
RemoteSAM: Towards Segment Anything for Earth Observation Bi-directional relationship inferring network for referring image segmentation
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:53.834118Z
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 fe9ad41a-cb4f-42ac-a3b3-4a163a436398 · outbound
This paper cites Look before you leap: Learning landmark features for one-stage visual grounding.
RemoteSAM: Towards Segment Anything for Earth Observation Look before you leap: Learning landmark features for one-stage visual grounding
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:53.692070Z
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 ec353354-982a-4ab0-bc48-cc19075fa63e · outbound
This paper cites Referring im- age segmentation via cross-modal progressive comprehen- sion.
RemoteSAM: Towards Segment Anything for Earth Observation Referring im- age segmentation via cross-modal progressive comprehen- sion
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:53.514419Z
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 9467fdb3-f55b-422e-b534-199ddcbcfb7b · outbound
This paper cites Linguistic structure guided context modeling for referring image segmentation.
RemoteSAM: Towards Segment Anything for Earth Observation Linguistic structure guided context modeling for referring image segmentation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:53.222812Z
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 d0cc04e8-b4a8-4d7f-afae-d3c168556ccd · outbound
This paper cites A survey of methods for addressing the chal- lenges of referring image segmentation.Neurocomputing, 583:127599, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation A survey of methods for addressing the chal- lenges of referring image segmentation.Neurocomputing, 583:127599, 2024
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:52.940841Z
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 d6aa7afe-fd89-40b5-bb2d-2daca472777d · outbound
This paper cites Geochat: Grounded large vision-language model for remote sensing.
RemoteSAM: Towards Segment Anything for Earth Observation Geochat: Grounded large vision-language model for remote sensing
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:52.683201Z
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 10869e94-90d8-4a11-8b7d-03e8b0f8e230 · outbound
This paper cites Clearclip: Decom- posing clip representations for dense vision-language infer- ence.
RemoteSAM: Towards Segment Anything for Earth Observation Clearclip: Decom- posing clip representations for dense vision-language infer- ence
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:52.425267Z
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 9a21a7a3-88ed-4571-820a-b58f251ced82 · outbound
This paper cites Exploring fine-grained image-text alignment for referring remote sensing image segmentation.
RemoteSAM: Towards Segment Anything for Earth Observation Exploring fine-grained image-text alignment for referring remote sensing image segmentation
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:52.229344Z
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 2ac767b4-1905-456e-a9da-1eb3f3fb33b5 · outbound
This paper cites Object detection in optical remote sensing images: A survey and a new benchmark.ISPRS PRS, 159:296–307,.
RemoteSAM: Towards Segment Anything for Earth Observation Object detection in optical remote sensing images: A survey and a new benchmark.ISPRS PRS, 159:296–307,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:52.118615Z
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 042a8e88-9378-48c7-b35e-00a45800fee8 · outbound
This paper cites SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images.
RemoteSAM: Towards Segment Anything for Earth Observation SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:32.931200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93a85133-f238-4bd7-bef9-28af22f2ce8f · outbound
This paper cites Referring transformer: A one- step approach to multi-task visual grounding.NeurIPS, 34: 19652–19664, 2021.
RemoteSAM: Towards Segment Anything for Earth Observation Referring transformer: A one- step approach to multi-task visual grounding.NeurIPS, 34: 19652–19664, 2021
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:51.980647Z
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 9745a97a-3861-47c1-94c2-fe67e0f48fcc · outbound
This paper cites Co- training transformer for remote sensing image classification, segmentation and detection.IEEE TGRS, 62:1–18, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation Co- training transformer for remote sensing image classification, segmentation and detection.IEEE TGRS, 62:1–18, 2024
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:51.816861Z
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 ba3893a0-96df-47ed-b4ca-32cf6aeaeeda · outbound
This paper cites Toward open vocabulary aerial object detection with clip-activated student-teacher learning.
RemoteSAM: Towards Segment Anything for Earth Observation Toward open vocabulary aerial object detection with clip-activated student-teacher learning
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:51.687502Z
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 9ad75552-0fba-48e7-b7e2-be53b8fc297a · outbound
This paper cites Masked angle-aware autoen- coder for remote sensing images.
RemoteSAM: Towards Segment Anything for Earth Observation Masked angle-aware autoen- coder for remote sensing images
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:51.560766Z
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 5e134ef0-2cfa-41e2-8403-292b2b339daa · outbound
This paper cites A real-time cross-modality correlation fil- tering method for referring expression comprehension.
RemoteSAM: Towards Segment Anything for Earth Observation A real-time cross-modality correlation fil- tering method for referring expression comprehension
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:51.402731Z
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 b0c182b3-f14a-4ef5-b0c9-1a44a0b8e6c3 · outbound
This paper cites Progressive language-customized visual feature learn- ing for one-stage visual grounding.IEEE TIP, 31:4266– 4277, 2022.
RemoteSAM: Towards Segment Anything for Earth Observation Progressive language-customized visual feature learn- ing for one-stage visual grounding.IEEE TIP, 31:4266– 4277, 2022
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:51.235352Z
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 82994afb-c722-417a-977a-8edcf4696a5c · outbound
This paper cites SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models.
RemoteSAM: Towards Segment Anything for Earth Observation SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:33.912755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc2339a3-d04c-4a18-9db3-fc316a5eead3 · outbound
This paper cites Gres: Gen- eralized referring expression segmentation.
RemoteSAM: Towards Segment Anything for Earth Observation Gres: Gen- eralized referring expression segmentation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:51.067598Z
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 b0a8f9f3-95b6-4230-b73e-4781ff71edf7 · outbound
This paper cites Re- moteclip: A vision language foundation model for remote sensing.IEEE TGRS, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation Re- moteclip: A vision language foundation model for remote sensing.IEEE TGRS, 2024
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:50.935469Z
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 9e2c9fd8-d223-4797-bb47-775852b79dba · outbound
This paper cites Boost UAV-based Ojbect Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning.
RemoteSAM: Towards Segment Anything for Earth Observation Boost UAV-based Ojbect Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:39:41.344972Z
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 dd758db8-f691-4f95-91ba-4bc2a2ca889b · outbound
This paper cites Few-shot adaptation of multi-modal foundation models: A survey.Ar- tificial Intelligence Review, 57(10):268, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation Few-shot adaptation of multi-modal foundation models: A survey.Ar- tificial Intelligence Review, 57(10):268, 2024
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:50.759016Z
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 d436a106-48a0-4981-80a4-a1b1f67c11ba · outbound
This paper cites Visual instruction tuning, 2023.
RemoteSAM: Towards Segment Anything for Earth Observation Visual instruction tuning, 2023
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:50.564001Z
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 b86cce4d-ddb2-48de-917f-54fe33192821 · outbound
This paper cites Cross-modal progressive comprehension for referring segmentation.IEEE TPAMI, 44(9):4761–4775,.
RemoteSAM: Towards Segment Anything for Earth Observation Cross-modal progressive comprehension for referring segmentation.IEEE TPAMI, 44(9):4761–4775,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:50.368660Z
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 6ccc335c-bcf7-46fb-9336-e62dee340bb5 · outbound
This paper cites Rotated multi-scale interaction network for referring remote sensing image seg- mentation.
RemoteSAM: Towards Segment Anything for Earth Observation Rotated multi-scale interaction network for referring remote sensing image seg- mentation
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:50.153209Z
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 60b9a2e6-9eed-434a-89c4-62740cf8043b · outbound
This paper cites Caris: Context-aware re- ferring image segmentation.
RemoteSAM: Towards Segment Anything for Earth Observation Caris: Context-aware re- ferring image segmentation
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:49.932482Z
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 56876629-8eb6-4453-aefb-3bfbfaa6aadd · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
RemoteSAM: Towards Segment Anything for Earth Observation Swin transformer: Hierarchical vision transformer using shifted windows
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:35.161575Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fef5218e-1104-4bbf-9d48-121ff639db5a · outbound
This paper cites On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid.IEEE JSTARS, 14:4205–4230, 2021.
RemoteSAM: Towards Segment Anything for Earth Observation On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid.IEEE JSTARS, 14:4205–4230, 2021
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:49.736189Z
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 7ac4e6d7-a652-426d-9ed3-33c6623ca4a6 · outbound
This paper cites Change- aware sampling and contrastive learning for satellite images.
RemoteSAM: Towards Segment Anything for Earth Observation Change- aware sampling and contrastive learning for satellite images
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:49.537560Z
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 5ac3dc67-fb24-4ea6-930e-36d6756f0db2 · outbound
This paper cites Seasonal contrast: Un- supervised pre-training from uncurated remote sensing data.
RemoteSAM: Towards Segment Anything for Earth Observation Seasonal contrast: Un- supervised pre-training from uncurated remote sensing data
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:49.317453Z
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 7b693eef-5c7e-4c01-a2cb-041e29f1aba1 · outbound
This paper cites Prompting directsam for semantic contour extraction in remote sensing images.
RemoteSAM: Towards Segment Anything for Earth Observation Prompting directsam for semantic contour extraction in remote sensing images
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:49.045808Z
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 c007f98a-2884-44fe-9ad8-1a926b241d97 · outbound
This paper cites Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model.
RemoteSAM: Towards Segment Anything for Earth Observation Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:48.833651Z
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 2f0bcf59-d8d0-4ef2-8468-e185eb2a5b57 · outbound
This paper cites Rethinking transformers pre-training for multi- spectral satellite imagery.
RemoteSAM: Towards Segment Anything for Earth Observation Rethinking transformers pre-training for multi- spectral satellite imagery
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:48.589953Z
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 02cb14a4-ef02-42d5-b441-fcfdd2b2e937 · outbound
This paper cites Sentinel-2 data for land cover/use mapping: A review.Re- mote sensing, 12(14):2291, 2020.
RemoteSAM: Towards Segment Anything for Earth Observation Sentinel-2 data for land cover/use mapping: A review.Re- mote sensing, 12(14):2291, 2020
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:48.395403Z
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 c4c419d6-e54a-42b9-9887-7009d2f4bcb3 · outbound
This paper cites Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning.
RemoteSAM: Towards Segment Anything for Earth Observation Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:48.174410Z
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 0fa4dd9c-654a-4135-be4e-e1588572fd5a · outbound
This paper cites Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning.
RemoteSAM: Towards Segment Anything for Earth Observation Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:47.948967Z
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 c6fd16e5-a0cb-4294-b187-d0281edda843 · outbound
This paper cites Grounded sam: Assembling open-world models for diverse visual tasks,.
RemoteSAM: Towards Segment Anything for Earth Observation Grounded sam: Assembling open-world models for diverse visual tasks,
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:36.414990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dd93602-bcfd-46d6-9e50-2c7fda595a82 · outbound
This paper cites SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models.
RemoteSAM: Towards Segment Anything for Earth Observation SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:39:41.112935Z
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 2254ba76-af29-42aa-b8ac-e16930608cea · outbound
This paper cites Cus- tomized sam 2 for referring remote sensing image segmenta- tion, 2025.
RemoteSAM: Towards Segment Anything for Earth Observation Cus- tomized sam 2 for referring remote sensing image segmenta- tion, 2025
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:47.741616Z
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 4df9a94c-6eaf-4f07-9bf3-ca2aac50595d · outbound
This paper cites Zero-shot ground- ing of objects from natural language queries.
RemoteSAM: Towards Segment Anything for Earth Observation Zero-shot ground- ing of objects from natural language queries
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:47.515624Z
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 43ddfced-ed38-48d8-9a48-0220065e981f · outbound
This paper cites Ringmo: A remote sensing foundation model with masked image modeling.IEEE TGRS, 61:1–22, 2022.
RemoteSAM: Towards Segment Anything for Earth Observation Ringmo: A remote sensing foundation model with masked image modeling.IEEE TGRS, 61:1–22, 2022
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:47.315453Z
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 12923a39-d500-4033-9bc7-36bf39ad6b51 · outbound
This paper cites Ringmo: A remote sensing foundation model with masked image modeling.IEEE TGRS, 61:1–22, 2023.
RemoteSAM: Towards Segment Anything for Earth Observation Ringmo: A remote sensing foundation model with masked image modeling.IEEE TGRS, 61:1–22, 2023
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:47.106287Z
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 a3d3caf8-9233-4b7a-a5e2-33ad04b8bcb2 · outbound
This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.
RemoteSAM: Towards Segment Anything for Earth Observation SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:37.156610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ff422df-e8dd-43ce-a40d-517f04eb4ce9 · outbound
This paper cites Arti- ficial intelligence to advance earth observation: A review of models, recent trends, and pathways forward.IEEE GRSM,.
RemoteSAM: Towards Segment Anything for Earth Observation Arti- ficial intelligence to advance earth observation: A review of models, recent trends, and pathways forward.IEEE GRSM,
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:46.912875Z
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 cff54c5b-02d3-4a47-bd91-9a6f13e7adb8 · outbound
This paper cites Remote sensing for agriculture in the era of industry 5.0–a survey.IEEE JSTARS, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation Remote sensing for agriculture in the era of industry 5.0–a survey.IEEE JSTARS, 2024
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:46.746943Z
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 90fea180-fa20-4b76-9665-6a98cde531bd · outbound
This paper cites Advancing plain vision transformer toward remote sensing foundation model.IEEE TGRS, 61:1–15, 2022.
RemoteSAM: Towards Segment Anything for Earth Observation Advancing plain vision transformer toward remote sensing foundation model.IEEE TGRS, 61:1–15, 2022
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:46.557340Z
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 0c504ada-7315-4fd7-b89c-dd1592d8e53a · outbound
This paper cites Samrs: Scaling-up re- mote sensing segmentation dataset with segment anything model.NeurIPS, 36:8815–8827, 2023.
RemoteSAM: Towards Segment Anything for Earth Observation Samrs: Scaling-up re- mote sensing segmentation dataset with segment anything model.NeurIPS, 36:8815–8827, 2023
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:46.368972Z
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 dea6da46-5bb6-46f9-afb3-3b67f67e0f14 · outbound
This paper cites SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference.
RemoteSAM: Towards Segment Anything for Earth Observation SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:37.747635Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60173593-fd8b-4dc6-b13b-60a95f6fffa3 · outbound
This paper cites LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation.
RemoteSAM: Towards Segment Anything for Earth Observation LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:37.888754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76cfe5a3-dfbc-4d75-b05b-b53d72b03259 · outbound
This paper cites Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework.
RemoteSAM: Towards Segment Anything for Earth Observation Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:46.143111Z
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 5a7ef037-b21b-4338-8982-c190b465e014 · outbound
This paper cites Ssl4eo- s12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets].IEEE GRSM, 11(3):98–106, 2023.
RemoteSAM: Towards Segment Anything for Earth Observation Ssl4eo- s12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets].IEEE GRSM, 11(3):98–106, 2023
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:45.907993Z
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 9ebbefdf-e553-481d-8624-7f40435f4f4b · outbound
This paper cites isaid: A large- scale dataset for instance segmentation in aerial images.
RemoteSAM: Towards Segment Anything for Earth Observation isaid: A large- scale dataset for instance segmentation in aerial images
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:45.535345Z
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 bfad8b16-be98-4c7f-9313-6dbded5447e6 · outbound
This paper cites Towards robust referring image seg- mentation.IEEE TIP, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation Towards robust referring image seg- mentation.IEEE TIP, 2024
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:45.271957Z
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 572c3566-4fd4-4e61-8955-5609e4adcbb5 · outbound
This paper cites Dota: A large-scale dataset for object detection in aerial images.
RemoteSAM: Towards Segment Anything for Earth Observation Dota: A large-scale dataset for object detection in aerial images
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:45.023171Z
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 43fc9d22-1de8-4232-b617-138f7c708697 · outbound
This paper cites Qwen2.5 tech- nical report, 2025.
RemoteSAM: Towards Segment Anything for Earth Observation Qwen2.5 tech- nical report, 2025
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:44.788251Z
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 2deb9a5d-b670-4980-a10b-0090246e0bce · outbound
This paper cites Graph adversarial self-supervised learning.NeurIPS, 34:14887– 14899, 2021.
RemoteSAM: Towards Segment Anything for Earth Observation Graph adversarial self-supervised learning.NeurIPS, 34:14887– 14899, 2021
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:44.564871Z
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 43a36087-e987-4f55-94f3-f78bb3d80d86 · outbound
This paper cites Lavt: Language-aware vi- sion transformer for referring image segmentation.
RemoteSAM: Towards Segment Anything for Earth Observation Lavt: Language-aware vi- sion transformer for referring image segmentation
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:44.308732Z
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 4a25db20-d296-4c92-8bee-adbc8477fc08 · outbound
This paper cites Falcon: A remote sensing vision-language foun- dation model.arXiv preprint arXiv:2503.11070, 2025.
RemoteSAM: Towards Segment Anything for Earth Observation Falcon: A remote sensing vision-language foun- dation model.arXiv preprint arXiv:2503.11070, 2025
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:38.954809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d05411a-4b4f-42dc-9360-681908031318 · outbound
This paper cites Domain-invariant progressive knowledge distillation for uav-based object detection.IEEE GRSL, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation Domain-invariant progressive knowledge distillation for uav-based object detection.IEEE GRSL, 2024
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:44.067257Z
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 3fdac325-7c4d-4b44-814b-87b71e3fbfa8 · outbound
This paper cites Shifting more attention to visual backbone: Query-modulated refinement networks for end-to-end visual grounding.
RemoteSAM: Towards Segment Anything for Earth Observation Shifting more attention to visual backbone: Query-modulated refinement networks for end-to-end visual grounding
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:43.782855Z
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 e95f51b8-4a03-4e69-a10f-9ec3e8cde4ca · outbound
This paper cites Rrsis: Referring remote sensing image seg- mentation.IEEE TGRS, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation Rrsis: Referring remote sensing image seg- mentation.IEEE TGRS, 2024
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:43.615222Z
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 271a2b3c-2f0b-471e-a9e1-40cad64059dc · outbound
This paper cites Rsvg: Exploring data and models for visual grounding on remote sensing data.
RemoteSAM: Towards Segment Anything for Earth Observation Rsvg: Exploring data and models for visual grounding on remote sensing data
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:43.324994Z
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 93ca58a4-276b-4805-9e43-51b3085c25de · outbound
This paper cites Skyeyegpt: Uni- fying remote sensing vision-language tasks via instruction tuning with large language model.ISPRS PRS, 221:64–77,.
RemoteSAM: Towards Segment Anything for Earth Observation Skyeyegpt: Uni- fying remote sensing vision-language tasks via instruction tuning with large language model.ISPRS PRS, 221:64–77,
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:43.064342Z
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 88c08a40-fa77-4a30-a0ce-c2b3cd74b64d · outbound
This paper cites Vision-language models for vision tasks: A survey.IEEE TPAMI, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation Vision-language models for vision tasks: A survey.IEEE TPAMI, 2024
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:42.727020Z
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 5953b534-6cdf-4d61-946c-7b792fc88348 · outbound
This paper cites Earthgpt: A universal multi-modal large lan- guage model for multi-sensor image comprehension in re- mote sensing domain.IEEE TGRS, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation Earthgpt: A universal multi-modal large lan- guage model for multi-sensor image comprehension in re- mote sensing domain.IEEE TGRS, 2024
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:42.440103Z
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 5f0e3176-fd5d-45a9-9ce6-3819f37429d2 · outbound
This paper cites Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection.IEEE TGRS, 57(8):5535–5548, 2019.
RemoteSAM: Towards Segment Anything for Earth Observation Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection.IEEE TGRS, 57(8):5535–5548, 2019
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:42.235876Z
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 9462e545-ad44-4fb9-b6cb-1aba1753b399 · outbound
This paper cites Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing.IEEE TGRS, 2024.
RemoteSAM: Towards Segment Anything for Earth Observation Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing.IEEE TGRS, 2024
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:41.996454Z
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 2c9795ac-95da-4136-b478-7a876e051b7e · outbound
This paper cites Extract free dense labels from clip.
RemoteSAM: Towards Segment Anything for Earth Observation Extract free dense labels from clip
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:39:41.745510Z
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 8eae8324-237a-4692-9e0d-64f8792191cd · outbound
This paper cites GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding.
RemoteSAM: Towards Segment Anything for Earth Observation GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:39:40.308034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d281888-74c1-4085-84a4-cc02f18bfebb · outbound
This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.
RemoteSAM: Towards Segment Anything for Earth Observation MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Reference 88
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T14:39:40.475109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 3339ef41-4e78-4ed1-bde3-98b0c530d010 · inbound
RemoteAgent: Bridging Vague Human Intents and Earth Observation with RL-based Agentic MLLMs cites this paper.
RemoteAgent: Bridging Vague Human Intents and Earth Observation with RL-based Agentic MLLMs RemoteSAM: Towards Segment Anything for Earth Observation
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:40:59.544650Z
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 b7f110aa-927e-4889-a8b0-27930134c18f · inbound
PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation cites this paper.
PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation RemoteSAM: Towards Segment Anything for Earth Observation
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:23:37.152572Z
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 10aeaf36-070a-48c7-ad60-4ca41dcf38e1 · inbound
PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation cites this paper.
PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation RemoteSAM: Towards Segment Anything for Earth Observation
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T16:10:02.906054Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b447adff-5dbd-407e-ab0d-6c23c642e757 · inbound
RemoteZero: Geospatial Reasoning with Zero Human Annotations cites this paper.
RemoteZero: Geospatial Reasoning with Zero Human Annotations RemoteSAM: Towards Segment Anything for Earth Observation
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:30:40.304593Z
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.