Paper Citation Record · LEDGER

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models

As of 14 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2412.20742.

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

pith.paper-citation-record.v1
2412.20742 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:18:21.438754Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:14:05.499836Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:14:11.438315Z

Reference resolution

56 of 56 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfdd125b-a09c-4491-883a-9cbe2377ad50 · outbound

This paper cites Visual instruction tuning,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Visual instruction tuning,

Reference 1

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Observation ce25b4aa-3cbd-43d6-8ce7-7b336e7685b2 · outbound

This paper cites Flamingo: a visual language model for few-shot learning,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Flamingo: a visual language model for few-shot learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:23.367346Z

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Observation 530008c7-1235-4052-950f-d8ec06735c83 · outbound

This paper cites Vila: On pre-training for visual language models,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Vila: On pre-training for visual language models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:23.350477Z

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Observation fbe617b2-21fb-44de-8a92-073732e6ca3c · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 4

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Observation 06d2b9f4-d435-4e2c-9e8b-d09ecacff320 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:23.333186Z

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Observation 799829fc-f48b-40d5-9955-a60296e47ea9 · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 6

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Observation 21c7731b-5099-4296-a867-84ceff71c929 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 7

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Observation df83d8ad-0e80-44f5-a8c3-905779f10e98 · outbound

This paper cites Training language models to follow instructions with human feedback,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Training language models to follow instructions with human feedback,

Reference 8

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Observation c88ce50f-906b-4c8f-8b5d-37fc8e4da3d3 · outbound

This paper cites Qwen Technical Report.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Qwen Technical Report

Reference 9

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Source-reported events for the cited work

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Observation 5b31fda4-bd17-4c4d-9c1f-41a87607715a · outbound

This paper cites Language mod- els are few-shot learners,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Language mod- els are few-shot learners,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:23.278960Z

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Observation 09aa9e4d-7db1-406f-b233-051a3d217e69 · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Laion- 5b: An open large-scale dataset for training next generation image-text models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:23.261896Z

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Observation f3555b1b-c8ba-41f1-9012-807276725dd0 · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Llava-med: Training a large language-and-vision assistant for biomedicine in one day,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:23.245810Z

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Observation f0d34255-e33e-49db-837d-38721ecf3295 · outbound

This paper cites Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs

Reference 13

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Observation 4632d040-0eac-4350-aef7-8a6f7e96d63c · outbound

This paper cites Rsvqa: Visual question answering for remote sensing data,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Rsvqa: Visual question answering for remote sensing data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:23.229120Z

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Observation f0c8b997-0e45-4fcd-b1dd-eba28ef142ce · outbound

This paper cites Answer-type prediction for visual question answering,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Answer-type prediction for visual question answering,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:23.212597Z

Source-reported events for the cited work

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Observation ea401cdc-6899-4110-a644-8fcca327b6c4 · outbound

This paper cites Multi-step question-driven visual ques- tion answering for remote sensing,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Multi-step question-driven visual ques- tion answering for remote sensing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:23.160301Z

Source-reported events for the cited work

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Observation 7652e053-07a3-41f4-8123-ab8624cd9906 · outbound

This paper cites Bi-modal transformer-based approach for visual question answering in remote sensing imagery,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Bi-modal transformer-based approach for visual question answering in remote sensing imagery,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:23.051315Z

Source-reported events for the cited work

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Observation d79f23aa-1b6c-4153-b41b-a9432905d186 · outbound

This paper cites Changes to captions: An attentive network for remote sensing change captioning,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Changes to captions: An attentive network for remote sensing change captioning,

Reference 18

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Observation 9ddb6af0-974c-41dc-a04d-b6a1edf19bfc · outbound

This paper cites Progressive scale-aware network for remote sensing image change captioning,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Progressive scale-aware network for remote sensing image change captioning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:22.805680Z

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Observation 12399aa5-b068-4bfb-beb3-a61dc53e7f88 · outbound

This paper cites Futh-net: fusing temporal relations and holistic features for aerial video classification,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Futh-net: fusing temporal relations and holistic features for aerial video classification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:22.779334Z

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Observation 9362b406-f560-4720-b98e-23397670ffe5 · outbound

This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Ok-vqa: A visual question answering benchmark requiring external knowledge,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:22.762710Z

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Observation 76fd99e3-cf0a-4563-a1de-b0420b434339 · outbound

This paper cites Deep learning based event recognition in aerial imagery,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Deep learning based event recognition in aerial imagery,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:22.744621Z

Source-reported events for the cited work

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Observation 4ad2a81b-9a8d-4704-904f-80df22718a0b · outbound

This paper cites A decoupling paradigm with prompt learning for remote sensing image change cap- tioning,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models A decoupling paradigm with prompt learning for remote sensing image change cap- tioning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:22.727137Z

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Observation 1892636e-0c9b-4294-a9e2-aee3f275b794 · outbound

This paper cites LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model

Reference 24

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Observation 806d599f-8e76-4721-a274-ab799ca5cd0e · outbound

This paper cites Geochat: Grounded large vision-language model for remote sensing,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Geochat: Grounded large vision-language model for remote sensing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:22.709468Z

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Observation 1a1863ba-bd5f-4407-a0d8-7a0c620301cd · outbound

This paper cites SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model

Reference 26

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Observation 3e974fef-266d-4b36-9be6-62a27b8b8c7d · outbound

This paper cites TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 27

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Observation 4bab5494-172b-4a59-b513-4cb577f94817 · outbound

This paper cites Rs- llava: A large vision-language model for joint captioning and question answering in remote sensing imagery,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Rs- llava: A large vision-language model for joint captioning and question answering in remote sensing imagery,

Reference 28

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Observation 0221ae97-370c-4d17-9822-1dfbd82cf01e · outbound

This paper cites RSGPT: A Remote Sensing Vision Language Model and Benchmark.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models RSGPT: A Remote Sensing Vision Language Model and Benchmark

Reference 29

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Observation 1362db8c-f70c-4af0-a999-173bbdf1a48f · outbound

This paper cites Earthgpt: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Earthgpt: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,

Reference 30

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Observation 07501f7c-3e75-40cb-878c-73b447bb457e · outbound

This paper cites Remote sensing image change captioning with dual-branch transformers: A new method and a large scale dataset,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Remote sensing image change captioning with dual-branch transformers: A new method and a large scale dataset,

Reference 31

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Observation 7f315012-a026-4801-812b-b468fbf60e3c · outbound

This paper cites Era: A data set and deep learning benchmark for event recognition in aerial videos [software and data sets],.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Era: A data set and deep learning benchmark for event recognition in aerial videos [software and data sets],

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:22.357789Z

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Observation 453961bf-5b70-47b7-8e70-968a953bf34f · outbound

This paper cites GPT-4 Technical Report.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models GPT-4 Technical Report

Reference 33

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Observation ad6d56c1-74cf-41cb-bd94-3a6849e34b0f · outbound

This paper cites Zero-shot video moment retrieval from frozen vision-language models,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Zero-shot video moment retrieval from frozen vision-language models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:22.280819Z

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Observation 9c85abab-b506-4dbb-ac5f-f504453a2c63 · outbound

This paper cites Visual narratives: Large-scale hi- erarchical classification of art-historical images,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Visual narratives: Large-scale hi- erarchical classification of art-historical images,

Reference 35

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Observation 184674d7-b23c-4a64-ad60-e2dc6ce7cb30 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Learning transferable visual models from natural language supervision,

Reference 36

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Observation ea49b646-97eb-4168-8986-1375fd0d1da5 · outbound

This paper cites Sigmoid loss for language image pre-training,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Sigmoid loss for language image pre-training,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:22.028018Z

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Observation fddb3fee-08e5-48ad-b128-9367fe93cd6c · outbound

This paper cites Improved baselines with visual instruction tuning,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Improved baselines with visual instruction tuning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.979100Z

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Observation f3867446-ec3d-4bc5-b5ed-6bd479515b0e · outbound

This paper cites SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding

Reference 39

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Source-reported events for the cited work

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Observation 210f211f-57c8-45f8-82e3-8aea311fc432 · outbound

This paper cites Nwpu- captions dataset and mlca-net for remote sensing image captioning,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Nwpu- captions dataset and mlca-net for remote sensing image captioning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.962185Z

Source-reported events for the cited work

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Observation f960d65f-2fc5-4c05-b7da-203a8ee61fcd · outbound

This paper cites Multiscale spatio- temporal network for aerial video event recognition,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Multiscale spatio- temporal network for aerial video event recognition,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.945407Z

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Observation 884a5ea8-b3bf-4a5c-9ed4-4c0d35801b68 · outbound

This paper cites Alleviating spatial misalignment and motion interference for uav-based video recognition,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Alleviating spatial misalignment and motion interference for uav-based video recognition,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.926977Z

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Observation d9ef3b67-f80d-40f8-a649-9074db3cdc69 · outbound

This paper cites Multitask learning: A knowledge-based source of inductive bias,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Multitask learning: A knowledge-based source of inductive bias,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.909314Z

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Observation d7233d7c-ecbd-49bf-992d-7220d1f77ccf · outbound

This paper cites Multitask learning,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Multitask learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.890641Z

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Observation 73f794b3-9073-475d-a394-c26c4b5a34de · outbound

This paper cites Multitask learning for crash analysis: A fine-tuned llm framework using twitter data,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Multitask learning for crash analysis: A fine-tuned llm framework using twitter data,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.873166Z

Source-reported events for the cited work

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Observation 2199e715-5976-4748-bfc8-cc11eb5bce13 · outbound

This paper cites TigerBot: An Open Multilingual Multitask LLM.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models TigerBot: An Open Multilingual Multitask LLM

Reference 46

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Source-reported events for the cited work

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Observation ce2dd9f4-c4d0-4e63-9ac2-b06eb3a7eb98 · outbound

This paper cites Mftcoder: Boosting code llms with multitask fine-tuning,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Mftcoder: Boosting code llms with multitask fine-tuning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.855590Z

Source-reported events for the cited work

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Observation e7289dbe-7768-43e2-a089-033eeb79ff8e · outbound

This paper cites Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 48

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Source-reported events for the cited work

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Observation bb21a836-9d5c-4f3c-9b37-2b0d49b7ab2c · outbound

This paper cites Dota: A large-scale dataset for object detection in aerial images,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Dota: A large-scale dataset for object detection in aerial images,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.837573Z

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Observation cd9dd48d-bcf2-4dcb-a9ee-dc8d7bbafe6c · outbound

This paper cites Anchor- free oriented proposal generator for object detection,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Anchor- free oriented proposal generator for object detection,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.820206Z

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Observation a556e187-3f3e-4375-bf3f-6d507618b135 · outbound

This paper cites Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.800383Z

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Observation 0baf7aa0-97f2-4948-9f25-6ba66454b5b6 · outbound

This paper cites Remote sensing image scene classifi- cation: Benchmark and state of the art,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Remote sensing image scene classifi- cation: Benchmark and state of the art,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.782752Z

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Observation c013b11a-333a-453e-9990-53ae176d121d · outbound

This paper cites Floodnet: A high resolution aerial imagery dataset for post flood scene understanding,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Floodnet: A high resolution aerial imagery dataset for post flood scene understanding,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.764505Z

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Observation 16960b0b-0ce9-47a7-84bf-a5a805e7ea54 · outbound

This paper cites A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models A spatial-temporal attention-based method and a new dataset for remote sensing image change detection,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.744693Z

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Observation d3fff566-c8d6-4717-ba45-78a27bdbc18a · outbound

This paper cites A spatial hierarchical reasoning network for remote sensing visual question answering,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models A spatial hierarchical reasoning network for remote sensing visual question answering,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.726638Z

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Observation f4ccce72-88d5-4d46-9aa5-cc0389180fae · outbound

This paper cites Temporal rela- tions matter: A two-pathway network for aerial video recognition,.

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models Temporal rela- tions matter: A two-pathway network for aerial video recognition,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:18:21.706541Z

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Pith citing papers

Observation 7285c014-15ee-4005-8ea9-9c153e94f6a6 · inbound

RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos? cites this paper.

RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos? UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T16:16:50.580454Z

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Observation 0df9cd09-f311-4e22-8d2e-b4f62b846751 · inbound

RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos? cites this paper.

RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos? UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:14:11.514686Z

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