Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T06:33:56.273238Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2605.12237.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T06:33:56.273238Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T16:16:51.537315Z
A source-named dated measurement, never combined with another source.
Source: cited_works
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 497368ef-321a-43e1-9e2f-bac0273fc94e · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Choice: benchmarking the remote sensing capabilities of large vision-language models.Advances in Neural Information Processing Systems, 38
Reference 2
Source-reported events for the cited work
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Observation d8077524-1b2d-4245-b782-de891c68a0f2 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Claude 3.7 sonnet
Reference 3
Source-reported events for the cited work
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Observation d995a2f4-a780-4a3c-97d0-dca2ef931ef2 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Qwen3-VL Technical Report
Reference 4
Source-reported events for the cited work
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Observation 2ea60cfc-0083-4dcb-a942-62bbd47ea677 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Are we on the right way for evaluating large vision-language models?Advances in Neural Information Processing Systems, 37:27056–27087
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 96560464-beb2-4814-997c-0b5de3002e33 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks
Reference 6
Source-reported events for the cited work
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Observation 5788c60e-c87a-4bfa-a0e2-0d3dcd8f6616 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 7
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Observation 3b657109-989c-422a-a9f1-a5363051b270 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs A benchmark for ultra-high-resolution remote sensing mllms
Reference 8
Source-reported events for the cited work
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Observation 6d65328f-3d15-4ec2-8308-83d20d3b6415 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Geobench-vlm: Benchmarking vision- language models for geospatial tasks
Reference 9
Source-reported events for the cited work
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Observation 73b11087-a5f0-46a0-917f-7eb47c8f67de · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Qwen2.5-Coder Technical Report
Reference 10
Source-reported events for the cited work
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Observation 30ec187f-ca8f-4b29-b7a4-fb9910ebeadd · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Geochat: Grounded large vision-language model for remote sensing
Reference 11
Source-reported events for the cited work
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Observation 701ac5f6-9a26-43bc-abb8-c6c628a8c20d · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs xView: Objects in Context in Overhead Imagery
Reference 12
Source-reported events for the cited work
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Observation ccfa4166-8f8c-4b38-9b56-77f9f7049cad · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Reference 13
Source-reported events for the cited work
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Observation c5e071ae-362e-4837-9fd4-8a6952c0363b · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Evaluating object hallucination in large vision-language models
Reference 14
Source-reported events for the cited work
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Observation 20c38d85-99ff-40e7-8d4c-0f81ed2bb361 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Improved baselines with visual instruction tuning
Reference 15
Source-reported events for the cited work
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Observation b73c93a6-543f-42ab-b43b-5110d40f397c · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Zoomearth: Active perception for ultra-high-resolution geospatial vision-language tasks
Reference 16
Source-reported events for the cited work
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Observation 730eeba2-2a60-4a3a-a072-741d9d14ced8 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Rotated multi-scale interaction network for referring remote sensing image segmentation
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e5826cf1-6fc7-40f1-9199-da916a7604be · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Seeing clearly without training: Mitigating hallucinations in multimodal llms for remote sensing
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8d425281-fd28-4cb9-8137-665a4cec5de5 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Mmbench: Is your multi-modal model an all-around player? In European conference on computer vision, pages 216–233
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5bf764a2-ec8a-4947-9cfa-b4c5d752b2c4 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Rsvqa: Visual question answering for remote sensing data.IEEE Transactions on Geoscience and Remote Sensing, 58(12):8555–8566
Reference 20
Source-reported events for the cited work
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Observation 818d1d57-44e4-44ac-8ddb-189327455528 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Exploring models and data for remote sensing image caption generation.IEEE Transactions on Geoscience and Remote Sensing, 56(4):2183– 2195
Reference 21
Source-reported events for the cited work
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Observation d3417910-b593-4434-b953-71f7fca24160 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Transformers in small object detection: A benchmark and survey of state-of-the-art.ACM Computing Surveys, 58(3):1–33
Reference 22
Source-reported events for the cited work
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Observation cca2b2eb-5d1d-4858-b9de-ed345c3d1693 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model
Reference 23
Source-reported events for the cited work
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Observation 9da5784e-5c32-46cd-98c4-24424c35f80f · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes
Reference 24
Source-reported events for the cited work
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Observation ab1c7ef9-1691-4d6b-a52c-e02100843493 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Learning transferable visual models from natural language supervision
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9c63e5ff-1350-469d-8420-46d3a5f6efa1 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Sam 2: Segment anything in images and videos
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a2282bdc-b7c6-4ca7-998c-7f71c8bd6d70 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Geopixel: Pixel grounding large multimodal model in remote sensing
Reference 27
Source-reported events for the cited work
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Observation ff9c0cc0-7a21-4b4e-a037-e04bb21f9e23 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs OpenAI GPT-5 System Card
Reference 28
Source-reported events for the cited work
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Observation e790eea1-3ffe-452a-bd10-649732a53ae9 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery.ISPRS Journal of Photogrammetry and Remote Sensing, 184:116–130
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c1e75618-5811-40fa-b78a-ab7c5838865a · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Visual grounding in remote sensing images
Reference 30
Source-reported events for the cited work
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Observation 0e77d101-782b-41f2-b47e-90a7ddbfd705 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Omniearth-bench: Towards holistic evaluation of earth’s six spheres and cross-spheres interactions with multimodal observational earth data
Reference 31
Source-reported events for the cited work
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Observation 4f78e100-9005-47e1-ad43-60a299066a02 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Unresolved cited work
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d0933dcb-9e6e-49c0-addc-54f34e0e9842 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Geollava-8k: scaling remote-sensing multimodal large language models to 8k resolution.Advances in Neural Information Processing Systems, 38:159185–159218
Reference 33
Source-reported events for the cited work
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Observation 1858f7fd-8ae9-4004-8af0-a3a2fd98caa0 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Geoeyes: On-demand visual focusing for evidence-grounded understanding of ultra-high-resolution re- mote sensing imagery
Reference 34
Source-reported events for the cited work
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Observation 8a84cca2-723c-4f7b-b63f-8e92cda73eb7 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Tiny object detection in aerial images
Reference 35
Source-reported events for the cited work
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Observation 96c424d2-dc8d-475d-a326-deb7b2ade0aa · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 36
Source-reported events for the cited work
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Observation 13a23aa0-25be-49ca-9d82-083f7335f654 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Reference 37
Source-reported events for the cited work
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Observation 0b5d14d9-7104-4347-a365-521e7c9cf56d · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Dota: A large-scale dataset for object detection in aerial images
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 64170045-8dc3-4cf0-b5d3-c1798d22c0f3 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Unresolved cited work
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f43a9e0b-13fa-40b0-8787-3fb23cd892ab · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Modeling context in referring expressions
Reference 40
Source-reported events for the cited work
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Observation 47cdb540-dff9-4af8-b463-228676654bf4 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Rsvg: Exploring data and models for visual grounding on remote sensing data.IEEE transactions on geoscience and remote sensing, 61:1–13
Reference 41
Source-reported events for the cited work
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Observation c73dfa7b-a574-4a5b-90bb-efffc95103bd · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Vision-language models for vision tasks: A survey.IEEE transactions on pattern analysis and machine intelligence, 46(8):5625–5644
Reference 42
Source-reported events for the cited work
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Observation ca366191-bbeb-41e6-bd81-28cd17cede9d · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Mme-realworld: Could your multimodal llm challenge high-resolution real-world scenarios that are difficult for humans? 2025:89655–89701
Reference 43
Source-reported events for the cited work
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Observation 983ebce9-d9db-472b-bf6e-975b57bd50a6 · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bc5ad405-5332-46a2-9c7c-f7504ab69c8d · outbound
UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs Option A
Reference 45
Source-reported events for the cited work
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Observation 71be107d-8aa6-4d9e-88ce-50522254601d · inbound
RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos? UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.