Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-21T20:58:23.547519Z
Paper Citation Record · LEDGER
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery
As of 7 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 4 inbound Pith citation observations for arXiv:2510.22665.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T19:54:51.780848Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
51 of 51 outbound references displayed
- verified exact8
- verified fuzzy39
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 595db2c0-959c-44a1-abea-6405a5f34b89 · outbound
This paper cites The air force moving and stationary target recog- nition database.https://www.sdms.afrl.af.mil/ index.php?collection=mstar.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery The air force moving and stationary target recog- nition database.https://www.sdms.afrl.af.mil/ index.php?collection=mstar
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.872598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 44c55f8d-fdc6-4ff6-bb60-28b03a4d53ec · outbound
This paper cites Omnisat: Self-supervised modality fusion for earth observation.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Omnisat: Self-supervised modality fusion for earth observation
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.816405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 90f80383-8bc5-4e01-a173-dea580560bd1 · outbound
This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.827043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 58a55fca-f833-4229-8f61-fc741b4503ba · outbound
This paper cites Tar- get classification using the deep convolutional networks for sar images.IEEE Transactions on Geoscience and Remote Sensing, 54(8):4806–4817.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Tar- get classification using the deep convolutional networks for sar images.IEEE Transactions on Geoscience and Remote Sensing, 54(8):4806–4817
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.829110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 02c234b2-47f6-4807-b6d8-d157e0d94efd · outbound
This paper cites A simple framework for contrastive learn- ing of visual representations.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery A simple framework for contrastive learn- ing of visual representations
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.862654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b93bb8c0-9c83-48e1-8c60-bc9e89c447e8 · outbound
This paper cites Reproducible scal- ing laws for contrastive language-image learning.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Reproducible scal- ing laws for contrastive language-image learning
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.797711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1d0303a7-12d8-4b37-9c56-62657eb06c75 · outbound
This paper cites Rouge: A package for automatic evaluation of summaries.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Rouge: A package for automatic evaluation of summaries
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.810059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 34660128-aa3e-4b8b-bae0-13d70febd330 · outbound
This paper cites Satmae: Pre-training transformers for tem- poral and multi-spectral satellite imagery.Advances in Neu- ral Information Processing Systems, 35:197–211.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Satmae: Pre-training transformers for tem- poral and multi-spectral satellite imagery.Advances in Neu- ral Information Processing Systems, 35:197–211
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.852174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 96e45adf-3e6a-49f8-a9f1-5cf87e548e3c · outbound
This paper cites Hyperspectral and sar image classification via graph convolutional fusion network.IEEE Transactions on Geoscience and Remote Sensing.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Hyperspectral and sar image classification via graph convolutional fusion network.IEEE Transactions on Geoscience and Remote Sensing
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.848027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 29f3c5cd-b0ad-4ca9-8043-01a8f16e06d2 · outbound
This paper cites Rethinking remote sensing clip: Lever- aging multimodal large language models for high-quality vision-language dataset.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Rethinking remote sensing clip: Lever- aging multimodal large language models for high-quality vision-language dataset
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.864751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ad87c5ab-c97f-485a-bc60-f317710a0b24 · outbound
This paper cites Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:00:39.069199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bb02fe89-e5da-41b1-890b-91f962c218ba · outbound
This paper cites Fusar-ship: Building a high-resolution sar-ais matchup dataset of gaofen-3 for ship detection and recog- nition.Science China Information Sciences, 63(4):140303.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Fusar-ship: Building a high-resolution sar-ais matchup dataset of gaofen-3 for ship detection and recog- nition.Science China Information Sciences, 63(4):140303
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.860630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 35179151-b2ac-46dd-8c33-4d2302d3467a · outbound
This paper cites an unresolved cited work.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:05:37.866565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cf815b1b-4d35-4100-ada0-034423b2972b · outbound
This paper cites Sfr-net: Scattering feature relation network for aircraft detection in complex sar images.IEEE Transactions on Geo- science and Remote Sensing, 60:1–17.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Sfr-net: Scattering feature relation network for aircraft detection in complex sar images.IEEE Transactions on Geo- science and Remote Sensing, 60:1–17
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.883081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d6bd5864-c6dd-49eb-8136-5929a31f5307 · outbound
This paper cites Geochat: Grounded large vision-language model for remote sensing.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Geochat: Grounded large vision-language model for remote sensing
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.856173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a41b4b7b-ce3f-4422-a36c-2ae3fdd3f5ba · outbound
This paper cites Synthetic sar image generation using sensor, terrain and target models.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Synthetic sar image generation using sensor, terrain and target models
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.858503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d50d88e7-8a85-459f-9201-2d2131cff9c5 · outbound
This paper cites A sar dataset for atr development: the synthetic and measured paired labeled experiment (sample).
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery A sar dataset for atr development: the synthetic and measured paired labeled experiment (sample)
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.850085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9eacb8a-540e-43f2-aa67-6adcc63ae1c8 · outbound
This paper cites Opensarship 2.0: A large-volume dataset for deeper interpretation of ship targets in sentinel-1 imagery.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Opensarship 2.0: A large-volume dataset for deeper interpretation of ship targets in sentinel-1 imagery
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.814129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ac4931f7-8d54-4c8c-ac22-6ed9d39017d3 · outbound
This paper cites an unresolved cited work.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:05:37.854104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cec96f08-8074-49c1-a745-0dfa883b47f8 · outbound
This paper cites Saratr-x: Towards building a foundation model for sar target recognition.IEEE Transactions on Im- age Processing.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Saratr-x: Towards building a foundation model for sar target recognition.IEEE Transactions on Im- age Processing
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.799878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 658cef66-1e9e-406c-9406-b95406e55496 · outbound
This paper cites SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:00:39.062484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dafbb708-18a2-4e6b-b8a2-7249d97f980b · outbound
This paper cites Re- moteclip: A vision language foundation model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Re- moteclip: A vision language foundation model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.801949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bde9bda4-cfad-4323-8111-2c8efeda4fc1 · outbound
This paper cites Visual instruction tuning.Advances in Neural Information Processing Systems, 36:34892–34916.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Visual instruction tuning.Advances in Neural Information Processing Systems, 36:34892–34916
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.868539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e94ab6c3-c3c9-4e33-9820-53913729d089 · outbound
This paper cites Learning from Noisy Pseudo-labels for All-Weather Land Cover Mapping.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Learning from Noisy Pseudo-labels for All-Weather Land Cover Mapping
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:00:39.065953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7a5670da-ed3b-4147-a273-2828f378877b · outbound
This paper cites Atrnet-star: A large dataset and bench- mark towards remote sensing object recognition in the wild.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Atrnet-star: A large dataset and bench- mark towards remote sensing object recognition in the wild
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.820448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9efe556d-afa3-465b-a3bc-9b9667275e63 · outbound
This paper cites Exploring models and data for remote sensing im- age caption generation.IEEE Transactions on Geoscience and Remote Sensing, 56(4):2183–2195.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Exploring models and data for remote sensing im- age caption generation.IEEE Transactions on Geoscience and Remote Sensing, 56(4):2183–2195
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.831497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 672ac5de-67e8-4e57-9766-4edc52e0a402 · outbound
This paper cites SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:00:39.059323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9b76e170-6b3a-4b40-90ce-4cfdeb94a0d4 · outbound
This paper cites Visualizing data using t-sne.Journal of Machine Learning Research, 9 (Nov):2579–2605.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Visualizing data using t-sne.Journal of Machine Learning Research, 9 (Nov):2579–2605
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.838235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 816adf27-7594-4126-997d-523ba6b80709 · outbound
This paper cites Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T21:00:39.055874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b686b35c-7114-492a-9715-01b4edbd6e4f · outbound
This paper cites Improving sar automatic target recognition models with transfer learning from simulated data.IEEE Geoscience and Remote Sensing Letters, 14(9):1484–1488.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Improving sar automatic target recognition models with transfer learning from simulated data.IEEE Geoscience and Remote Sensing Letters, 14(9):1484–1488
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.834045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 724078c5-b1aa-492c-8101-c872f9165470 · outbound
This paper cites Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.836166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9ce74970-2d8a-4ca7-a6d5-0d9e6f43e493 · outbound
This paper cites Bleu: a method for automatic evaluation of machine translation.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Bleu: a method for automatic evaluation of machine translation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.843672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c29af940-8d35-45dc-96b7-5ed8e882fed1 · outbound
This paper cites Learn- ing transferable visual models from natural language super- vision.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Learn- ing transferable visual models from natural language super- vision
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.878548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9203da91-24e0-49ef-a0bd-bb92ffe0f048 · outbound
This paper cites Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.840277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e7b6325e-822f-4a6d-9f1e-313ce05c3133 · outbound
This paper cites an unresolved cited work.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:05:37.818408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b4e42bf7-0193-4ece-9be4-92851600c8fb · outbound
This paper cites Ringmo: A remote sensing foundation model with masked image modeling.IEEE Transactions on Geo- science and Remote Sensing, 61:1–22.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Ringmo: A remote sensing foundation model with masked image modeling.IEEE Transactions on Geo- science and Remote Sensing, 61:1–22
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.880521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 43bbb105-a707-4cf1-8397-e59691918904 · outbound
This paper cites Cross-scale mae: A tale of multiscale exploita- tion in remote sensing.Advances in Neural Information Pro- cessing Systems, 36:20054–20066.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Cross-scale mae: A tale of multiscale exploita- tion in remote sensing.Advances in Neural Information Pro- cessing Systems, 36:20054–20066
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.808020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b64762f9-1aa5-460c-b530-ffb7d314b52d · outbound
This paper cites Cider: Consensus-based image description evalua- tion.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Cider: Consensus-based image description evalua- tion
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.824822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f762fd6c-4631-4944-825e-3f26df37cee8 · outbound
This paper cites LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation.
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
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:00:39.052291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40f5e9a7-7a52-495e-bc19-504f593812f6 · outbound
This paper cites Skyscript: A large and seman- tically diverse vision-language dataset for remote sensing.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Skyscript: A large and seman- tically diverse vision-language dataset for remote sensing
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.885906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d5e745fc-d866-4d90-a39a-610ae8cc25bc · outbound
This paper cites SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image Understanding.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image Understanding
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:00:39.048711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f85b0a50-7d4e-47b4-88b6-6e7ed7fafa50 · outbound
This paper cites Robust fine-tuning of zero-shot models.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Robust fine-tuning of zero-shot models
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.887946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aade4117-29eb-4e43-80e1-4b9c410f7107 · outbound
This paper cites Fair-csar: A benchmark dataset for fine-grained object detection and recognition based on single look complex sar images.IEEE Transactions on Geoscience and Remote Sensing.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Fair-csar: A benchmark dataset for fine-grained object detection and recognition based on single look complex sar images.IEEE Transactions on Geoscience and Remote Sensing
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.804007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 37684e29-33a8-42e8-b4fb-fdb991bdf5db · outbound
This paper cites Dota: A large-scale dataset for object detection in aerial images.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Dota: A large-scale dataset for object detection in aerial images
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.805879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6617c505-adc6-4bfd-9fd1-5ce214477d90 · outbound
This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery CoCa: Contrastive Captioners are Image-Text Foundation Models
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T21:00:39.045218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e56ef695-2798-4491-a94d-e8b03aefa583 · outbound
This paper cites Selo v2: Toward for higher and faster semantic localization.IEEE Geoscience and Remote Sensing Letters, 20:1–5.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Selo v2: Toward for higher and faster semantic localization.IEEE Geoscience and Remote Sensing Letters, 20:1–5
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.876598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1c246da5-9e85-4c7a-a3ca-a9d95cc6ca1a · outbound
This paper cites Learning to evaluate performance of multimodal semantic localization.IEEE Transactions on Geoscience and Remote Sensing, 60:1–18.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Learning to evaluate performance of multimodal semantic localization.IEEE Transactions on Geoscience and Remote Sensing, 60:1–18
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.812137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eb194f4d-c8d2-4df2-8c35-9be6c9c3119b · outbound
This paper cites Sar ship detection dataset (ssdd): Offi- cial release and comprehensive data analysis.Remote Sens- ing, 13(18):3690.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Sar ship detection dataset (ssdd): Offi- cial release and comprehensive data analysis.Remote Sens- ing, 13(18):3690
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.874619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6d2303b8-db7b-4075-ac33-d8f989734b0d · outbound
This paper cites Earthgpt: A universal multi-modal large lan- guage model for multi-sensor image comprehension in re- mote sensing domain.IEEE Transactions on Geoscience and Remote Sensing.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Earthgpt: A universal multi-modal large lan- guage model for multi-sensor image comprehension in re- mote sensing domain.IEEE Transactions on Geoscience and Remote Sensing
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.845934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6a422e3d-0dfa-4aba-867b-cc7d8a017c9f · outbound
This paper cites RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:00:39.041826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fb45d4ad-d686-44d9-9e23-51088b9a49b8 · outbound
This paper cites Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing.
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:05:37.870630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation 03ed5731-6026-4e92-95f7-f5986f87b064 · inbound
Geospatial-Temporal Sensemaking of Remote Sensing Activity Detections with Multimodal Large Language Model cites this paper.
Geospatial-Temporal Sensemaking of Remote Sensing Activity Detections with Multimodal Large Language Model SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T00:00:26.580375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f1acadad-ad01-4719-b2d9-ac266179bb55 · inbound
FUSAR-R1: A Large-Scale Reasoning Model for Intelligent Interpretation of SAR Images cites this paper.
FUSAR-R1: A Large-Scale Reasoning Model for Intelligent Interpretation of SAR Images SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:54:51.780848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 079263cd-40ce-46ee-95bf-fd2d8cb81b38 · inbound
Not All Patches are Equal: Sampling Matters for Visible-Infrared Pre-Training cites this paper.
Not All Patches are Equal: Sampling Matters for Visible-Infrared Pre-Training SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:27:20.420271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1758c2eb-759e-4dc9-a6e1-48b025b2a09d · inbound
SARATR-X-v2: Scale-Aware Structural Pre-Training for SAR Foundation Models cites this paper.
SARATR-X-v2: Scale-Aware Structural Pre-Training for SAR Foundation Models SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T03:22:09.867274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.