Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:49.353753Z
Paper Citation Record · LEDGER
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing
As of 15 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 7 inbound Pith citation observations for arXiv:2501.06828.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:09:55.854741Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T00:48:24.793323Z
Reference resolution
59 of 59 outbound references displayed
- verified exact2
- verified fuzzy21
- unresolved34
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b57f24db-3cc5-4524-b60a-e8a3273e966d · outbound
This paper cites RSGPT: A Remote Sensing Vision Language Model and Benchmark.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing RSGPT: A Remote Sensing Vision Language Model and Benchmark
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 479916e7-27cf-4b1e-82f4-0518bc6bb86e · outbound
This paper cites Geochat: Grounded large vision- language model for remote sensing,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Geochat: Grounded large vision- language model for remote sensing,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:50.402256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c4737594-d29f-47d6-881d-6c84d4b989a5 · outbound
This paper cites SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:53:48.029329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e517ff45-b20f-4bf6-8563-74498db1a163 · outbound
This paper cites Earthgpt: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Earthgpt: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:50.392167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 74407812-8a35-4aae-8fe8-744d5b6b82ba · outbound
This paper cites Bb-geogpt: A framework for learning a large language model for ge- ographic information science,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Bb-geogpt: A framework for learning a large language model for ge- ographic information science,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:50.382002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d87e0878-d02d-47c0-82e8-3265553242e3 · outbound
This paper cites LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2db5c505-469c-4d4a-8d02-c746e5aa3b60 · outbound
This paper cites Mtp: Advancing remote sensing foundation model via multi-task pre- training,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Mtp: Advancing remote sensing foundation model via multi-task pre- training,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:50.373021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ed8fa80b-baed-4c4e-bb80-6eaef91a6e75 · outbound
This paper cites SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4ed543d-7b2f-49b6-8fd0-eaf5c210dcdf · outbound
This paper cites TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:53:48.233807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44b65459-5320-461b-bf2a-5d9080062463 · outbound
This paper cites Earthmarker: A visual prompting multi-modal large language model for remote sensing,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Earthmarker: A visual prompting multi-modal large language model for remote sensing,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:50.365058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fbd223b6-275f-4767-b043-163aaa67b744 · outbound
This paper cites Rsvg: Exploring data and models for visual grounding on remote sensing data,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Rsvg: Exploring data and models for visual grounding on remote sensing data,
Reference 11
- Resolution
- malformed identifier
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74e8ace1-bf93-4ecc-9ce8-3337ffa99726 · outbound
This paper cites Samrs: Scaling- up remote sensing segmentation dataset with segment anything model,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Samrs: Scaling- up remote sensing segmentation dataset with segment anything model,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:50.355995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 676270de-e63e-4f45-8e34-f2115e1e0a37 · outbound
This paper cites Rrsis: Referring remote sensing image segmentation,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Rrsis: Referring remote sensing image segmentation,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:50.347108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0a0d5c78-5d9e-465f-a00d-8f79f4e83ca6 · outbound
This paper cites Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation
Reference 14
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e286015a-c9ee-4903-94b0-ece529454917 · outbound
This paper cites VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e734e1a0-b2b5-494a-b871-5c8184f1f067 · outbound
This paper cites an unresolved cited work.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:53:50.336893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 23036da1-0560-4222-9955-73812f1a3d9f · outbound
This paper cites an unresolved cited work.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:53:50.325240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 132a4d93-a91a-4b8d-bbd1-c496dcbb6acd · outbound
This paper cites an unresolved cited work.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:53:50.316077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 60e82997-5cfc-43bd-a2fe-72a5345fbd19 · outbound
This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72c10116-e0cb-43bf-af8a-f827f1acfd0d · outbound
This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f5833d6-7dd0-4bd2-9e0e-1dafa976c291 · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ad8e6e5-a33a-4a77-a1b2-694f80493fcc · outbound
This paper cites CogVLM: Visual Expert for Pretrained Language Models.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing CogVLM: Visual Expert for Pretrained Language Models
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2218fbd-ede2-4ba3-9b6f-0d325e5b5a67 · outbound
This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f6c3bab-f864-42f2-bede-2d92b567c5dd · outbound
This paper cites Otter: A Multi-Modal Model with In-Context Instruction Tuning.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Otter: A Multi-Modal Model with In-Context Instruction Tuning
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed754b60-189c-4733-bfe6-b64d3a37e722 · outbound
This paper cites Instruction Tuning with GPT-4.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Instruction Tuning with GPT-4
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddc7b7af-d2c7-45dc-a28a-874ae8c0d7c1 · outbound
This paper cites InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
Reference 26
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a71dd86-2518-4f1c-b76f-f687a36fbd61 · outbound
This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57de04f7-f32d-42a0-82ae-abf953042751 · outbound
This paper cites LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1f5dab7-0915-4a14-8676-0d8951c142fe · outbound
This paper cites LISA: Reasoning Segmentation via Large Language Model.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing LISA: Reasoning Segmentation via Large Language Model
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad57b2d2-6bb5-4359-90fd-37aa725ec24e · outbound
This paper cites Segment Anything.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Segment Anything
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86681f54-61b8-4a88-a6f5-273f4ef7fc9f · outbound
This paper cites PixelLM: Pixel Reasoning with Large Multimodal Model.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing PixelLM: Pixel Reasoning with Large Multimodal Model
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fac7f3f5-a830-40fd-8a84-133276b70349 · outbound
This paper cites GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a59bfb6a-f2d4-4226-9d05-6de0780ababb · outbound
This paper cites Object detection in optical remote sensing images: A 13 survey and a new benchmark,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Object detection in optical remote sensing images: A 13 survey and a new benchmark,
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 69fb0bfc-0a14-469f-b565-175e31227b04 · outbound
This paper cites Object detection in aerial images: A large-scale benchmark and challenges,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Object detection in aerial images: A large-scale benchmark and challenges,
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation c07902bd-c878-46fc-8958-fed9ce27a3a1 · outbound
This paper cites Fair1m: A bench- mark dataset for fine-grained object recognition in high- resolution remote sensing imagery,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Fair1m: A bench- mark dataset for fine-grained object recognition in high- resolution remote sensing imagery,
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74699657-9a64-4fbe-815b-0bff53a95b28 · outbound
This paper cites Aid: A benchmark data set for performance evaluation of aerial scene classification,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Aid: A benchmark data set for performance evaluation of aerial scene classification,
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 276bb595-2037-4757-a1ea-05da2a137c85 · outbound
This paper cites Nwpu-crowd: A large-scale benchmark for crowd counting and lo- calization,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Nwpu-crowd: A large-scale benchmark for crowd counting and lo- calization,
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cc974fa-04de-4841-94af-f937cc7041a8 · outbound
This paper cites Eu- rosat: A novel dataset and deep learning benchmark for land use and land cover classification,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Eu- rosat: A novel dataset and deep learning benchmark for land use and land cover classification,
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f6f8f5c1-212f-41f0-bf55-3d951d630960 · outbound
This paper cites Rsvqa: Visual question answering for remote sensing data,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Rsvqa: Visual question answering for remote sensing data,
Reference 39
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0b1b3e55-2252-4aa4-99c2-8052b752ed3e · outbound
This paper cites Memory Matching Networks for Genomic Sequence Classification.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Memory Matching Networks for Genomic Sequence Classification
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f9f2c85f-b234-4ac9-8f1e-f914575d4ec1 · outbound
This paper cites Unsupervised learning using pretrained cnn and associative memory bank,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Unsupervised learning using pretrained cnn and associative memory bank,
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d64bc291-b7bb-4597-b758-eedc1136c231 · outbound
This paper cites Point cloud classi- fication via learnable memory bank,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Point cloud classi- fication via learnable memory bank,
Reference 42
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3e1a7e91-9290-4fcd-a985-29f759521b7d · outbound
This paper cites A new approach to automatic memory banking using trace-based address mining,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing A new approach to automatic memory banking using trace-based address mining,
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2c9ba90b-a9b2-406f-8d28-2c936e290849 · outbound
This paper cites Visual anomaly detection via partition memory bank module and error estimation,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Visual anomaly detection via partition memory bank module and error estimation,
Reference 44
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ef5425ed-c87c-4bb3-ba1c-9a302af34009 · outbound
This paper cites Mamba: Multi-level aggregation via memory bank for video ob- ject detection,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Mamba: Multi-level aggregation via memory bank for video ob- ject detection,
Reference 45
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5bfbfdac-8b31-4c20-8aca-15c4f3c3fc2a · outbound
This paper cites Semi-supervised se- mantic segmentation using unreliable pseudo-labels,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Semi-supervised se- mantic segmentation using unreliable pseudo-labels,
Reference 46
- Resolution
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- raw_fallback, observed 2026-08-10T20:53:50.198699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 415f4932-3d03-44c9-a949-187556a79f3b · outbound
This paper cites Weakly su- pervised semantic segmentation by pixel-to-prototype contrast,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Weakly su- pervised semantic segmentation by pixel-to-prototype contrast,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:50.187358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 684a14ed-537d-4607-87aa-0a3b54aafca4 · outbound
This paper cites Memory-based cross-image con- texts for weakly supervised semantic segmentation,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Memory-based cross-image con- texts for weakly supervised semantic segmentation,
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22fb036f-3f3b-49b7-9d3f-73c5c9f51bce · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing SAM 2: Segment Anything in Images and Videos
Reference 49
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c4f3726-bc66-403a-8186-5295f5245880 · outbound
This paper cites SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
Reference 50
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Unavailable: canonical work link unavailable.
Observation acc63c6e-dc1a-491c-9f95-9c707cdbb79b · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing LoRA: Low-Rank Adaptation of Large Language Models
Reference 51
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Unavailable: canonical work link unavailable.
Observation fb343ad8-1d33-493f-939c-733a0419130b · outbound
This paper cites an unresolved cited work.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Unresolved cited work
Reference 52
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Observation 27cc5b5b-8844-4ab4-9905-14ce799e1e9c · outbound
This paper cites Bleu: A method for automatic evaluation of machine translation,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Bleu: A method for automatic evaluation of machine translation,
Reference 53
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d9a9a7f3-0cd3-45c5-bb48-edcc708c2fcb · outbound
This paper cites Rouge: A package for automatic evaluation of summaries,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Rouge: A package for automatic evaluation of summaries,
Reference 54
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Unavailable: canonical work link unavailable.
Observation 2072881c-4e83-4d51-b916-1a177d2167bc · outbound
This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Meteor: An automatic metric for mt evaluation with improved correlation with human judgments,
Reference 55
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6b402188-5f59-45d8-b7e8-43466cc73e3f · outbound
This paper cites Cider: Consensus-based image description evaluation,.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Cider: Consensus-based image description evaluation,
Reference 56
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Unavailable: canonical work link unavailable.
Observation e11a5396-91b5-45f2-a37e-e9b145a0dd63 · outbound
This paper cites CLAIR: Evaluating Image Captions with Large Language Models.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing CLAIR: Evaluating Image Captions with Large Language Models
Reference 57
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Unavailable: canonical work link unavailable.
Observation 4d9b901b-18c8-4fb0-ad40-bd1ab864714a · outbound
This paper cites 1109 / tgrs.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing 1109 / tgrs
Reference 644
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 718daccd-d34f-4936-b586-5d5d9b13f84f · outbound
This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Reference 2024
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Unavailable: canonical work link unavailable.
Pith citing papers
Observation af11f5c5-d302-4dc7-a9f3-23d3a0e51e42 · inbound
Chain-of-Talkers (CoTalk): Fast Human Annotation of Dense Image Captions cites this paper.
Chain-of-Talkers (CoTalk): Fast Human Annotation of Dense Image Captions GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing
Reference 23
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Unavailable: canonical work link unavailable.
Observation 834d3338-f0eb-4b07-8389-c1ba5296fd3f · inbound
GeoMag: A Vision-Language Model for Pixel-level Fine-Grained Remote Sensing Image Parsing cites this paper.
GeoMag: A Vision-Language Model for Pixel-level Fine-Grained Remote Sensing Image Parsing GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing
Reference 36
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Unavailable: canonical work link unavailable.
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SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis cites this paper.
SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing
Reference 18
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a421a2c2-4c4e-42fe-bacb-e066eecb8672 · inbound
SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis cites this paper.
SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing
Reference 18
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Unavailable: canonical work link unavailable.
Observation 6f3903d3-6baa-450f-87e1-bcfa7ce2f8bd · 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 GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6b1db3a5-69b2-4226-ab85-d9179c01d41b · 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 GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing
Reference 32
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Unavailable: canonical work link unavailable.
Observation 1b903af9-48f8-45b4-8a74-25804925781b · inbound
WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding cites this paper.
WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing
Reference 38
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.