Paper Citation Record · LEDGER

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2510.07135.

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pith.paper-citation-record.v1
2510.07135 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:02:21.396983Z

measured 37 of 37 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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Outbound references

Observation 82d7e419-3984-42e5-b7df-50b66a3268fd · outbound

This paper cites Deep learning in environmental remote sensing: Achievements and challenges,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Deep learning in environmental remote sensing: Achievements and challenges,

Reference 1

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Observation b4bdd3f6-6b89-435a-997a-ec91a4359f51 · outbound

This paper cites From satellite to uav-based remote sensing: A review on precision agriculture,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models From satellite to uav-based remote sensing: A review on precision agriculture,

Reference 2

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Observation f4872903-2118-40cb-985c-d00ba576813c · outbound

This paper cites Streamlined hybrid annotation framework using scalable codestream for bandwidth-restricted uav object detection,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Streamlined hybrid annotation framework using scalable codestream for bandwidth-restricted uav object detection,

Reference 3

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Observation 2b2aca55-30a9-4e0d-810c-79b9d18d27de · outbound

This paper cites Remote sensing image scene classification meets deep learning: Challenges, methods, benchmarks, and opportunities,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Remote sensing image scene classification meets deep learning: Challenges, methods, benchmarks, and opportunities,

Reference 4

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Observation 6153f4ed-93f0-4c64-9874-ea5f4cfcf2c6 · outbound

This paper cites Semi-supervised remote-sensing image scene classification using representation consistency siamese network,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Semi-supervised remote-sensing image scene classification using representation consistency siamese network,

Reference 5

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Observation 679e94ef-92bf-4248-9b84-06176b78182b · outbound

This paper cites Stacked autoencoders driven by semi-supervised learning for building extraction from near infrared remote sensing imagery,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Stacked autoencoders driven by semi-supervised learning for building extraction from near infrared remote sensing imagery,

Reference 6

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Observation d6372c68-bba4-48b0-9d3d-1864990b7de0 · outbound

This paper cites Semiroadexnet: A semi- supervised network for road extraction from remote sensing imagery via adversarial learning,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Semiroadexnet: A semi- supervised network for road extraction from remote sensing imagery via adversarial learning,

Reference 7

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Observation 9eec2107-d989-43fb-833e-2c82c40794a8 · outbound

This paper cites Few-shot remote sensing image scene classification: Recent advances, new baselines, and future trends,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Few-shot remote sensing image scene classification: Recent advances, new baselines, and future trends,

Reference 8

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Observation 8c8a08d4-d617-4ac7-99b8-145cd21479c1 · outbound

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

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Learning transferable visual models from natural language supervision,

Reference 9

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Observation d0f0a459-6cba-4a48-b41b-2e771f82fe9d · outbound

This paper cites Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing,

Reference 10

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Observation 3c9fc815-2f9f-433e-a32a-7621a420d4fd · outbound

This paper cites Remoteclip: A vision language foundation model for remote sensing,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Remoteclip: A vision language foundation model for remote sensing,

Reference 11

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Observation d34d7e40-2cc5-46ee-9032-ef93701bb420 · outbound

This paper cites Skyscript: A large and semantically diverse vision-language dataset for remote sens- ing,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Skyscript: A large and semantically diverse vision-language dataset for remote sens- ing,

Reference 12

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Observation 0685a3c1-7560-4797-b59b-9700a60b55cf · outbound

This paper cites H2rsvlm: Towards helpful and honest remote sensing large vision language model,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models H2rsvlm: Towards helpful and honest remote sensing large vision language model,

Reference 13

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Observation 85b9a363-7ab3-487d-bb95-fb8485a22fda · outbound

This paper cites Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model,

Reference 14

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Observation 93989e77-dda1-45a9-b02e-f5d0a72be1d3 · outbound

This paper cites Enhancing remote sensing vision-language models for zero-shot scene classification,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Enhancing remote sensing vision-language models for zero-shot scene classification,

Reference 15

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Observation f833097c-f4b9-4338-b1d4-43ec895f7682 · outbound

This paper cites Learning to prompt for vision- language models,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Learning to prompt for vision- language models,

Reference 16

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Observation 06b42a13-b406-497c-9c48-90375c746441 · outbound

This paper cites Maple: Multi-modal prompt learning,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Maple: Multi-modal prompt learning,

Reference 17

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Observation 71ea4216-8ed1-4968-9f62-e4b439807a21 · outbound

This paper cites Conditional prompt learning for vision-language models,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Conditional prompt learning for vision-language models,

Reference 18

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Observation a08eba67-e5b5-4676-88e2-08fff58151b6 · outbound

This paper cites Visual-language prompt tuning with knowledge-guided context optimization,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Visual-language prompt tuning with knowledge-guided context optimization,

Reference 19

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Observation a24b1dce-b927-4115-beda-f36faddd8e68 · outbound

This paper cites Prompt-aligned gradient for prompt tuning,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Prompt-aligned gradient for prompt tuning,

Reference 20

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Observation 1d0f0085-efd4-44d5-b24d-d72c2af15f32 · outbound

This paper cites PLOT: Prompt Learning with Optimal Transport for Vision-Language Models.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 21

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Observation 70861de6-e1a4-4535-b20f-b63fef17652e · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without forgetting,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Self-regulating prompts: Foundational model adaptation without forgetting,

Reference 22

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Observation 7e2fc0c3-a0e2-4d66-9d5b-35aa33f19127 · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Clip-adapter: Better vision-language models with feature adapters,

Reference 23

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Observation 610db136-fe94-45f7-870b-87fc05e56faa · outbound

This paper cites Tip-adapter: Training-free adaption of clip for few-shot classification,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Tip-adapter: Training-free adaption of clip for few-shot classification,

Reference 24

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Observation 97232609-245b-466d-adcc-d3730e1b1954 · outbound

This paper cites Task residual for tuning vision-language models,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Task residual for tuning vision-language models,

Reference 25

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Observation a204615a-c067-45dc-afc8-2ae0aa6a2b10 · outbound

This paper cites A closer look at the few-shot adaptation of large vision-language models,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models A closer look at the few-shot adaptation of large vision-language models,

Reference 26

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Observation c7300060-42b1-49d5-b337-ac0fd8119693 · outbound

This paper cites V ocabulary-free few-shot learning for vision-language models,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models V ocabulary-free few-shot learning for vision-language models,

Reference 27

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Observation 810f77e1-9317-4261-8134-29dc2bd0bdd8 · outbound

This paper cites Low-rank few-shot adaptation of vision- language models,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Low-rank few-shot adaptation of vision- language models,

Reference 28

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Observation a7346845-808e-4032-ace1-d39272447d6d · outbound

This paper cites Aid: A benchmark data set for performance evaluation of aerial scene classification,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Aid: A benchmark data set for performance evaluation of aerial scene classification,

Reference 29

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Observation dfdc3c26-b420-42e1-8876-7f757a1f996c · outbound

This paper cites Introducing eurosat: A novel dataset and deep learning benchmark for land use and land cover classification,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Introducing eurosat: A novel dataset and deep learning benchmark for land use and land cover classification,

Reference 30

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Observation 3a649702-89fa-4e26-84aa-40805db437a6 · outbound

This paper cites Mlrsnet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Mlrsnet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding,

Reference 31

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Observation 2323a927-a130-41a0-a205-f984eabffcc7 · outbound

This paper cites Scene classification with recurrent attention of vhr remote sensing images,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Scene classification with recurrent attention of vhr remote sensing images,

Reference 32

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Observation 2f1c32e6-f3d3-46cd-bb6b-e7e3d7216c59 · outbound

This paper cites Patternnet: A benchmark dataset for performance evaluation of remote sensing image retrieval,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Patternnet: A benchmark dataset for performance evaluation of remote sensing image retrieval,

Reference 33

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Observation 21a89c47-9c08-4240-8ead-4198c72d4c04 · outbound

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

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Remote sensing image scene classifi- cation: Benchmark and state of the art,

Reference 34

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Observation 0364e3b1-7430-4e3f-8a2a-377791ae5fdd · outbound

This paper cites Feature significance-based multibag- of-visual-words model for remote sensing image scene classification,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Feature significance-based multibag- of-visual-words model for remote sensing image scene classification,

Reference 35

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Observation d39f9894-280a-43e8-8964-c2cbe1eb60a9 · outbound

This paper cites Rsi-cb: A large-scale remote sensing image classification benchmark using crowdsourced data,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Rsi-cb: A large-scale remote sensing image classification benchmark using crowdsourced data,

Reference 36

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Observation bdfcf9f7-0430-4fe5-921e-5427afa699b2 · outbound

This paper cites Structural high-resolution satellite image indexing,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Structural high-resolution satellite image indexing,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T11:02:21.396983Z

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Pith citing papers

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