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Paper Citation Record · LEDGER

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs

As of 17 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 1 inbound Pith citation observation for arXiv:2603.11804.

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

pith.paper-citation-record.v1
2603.11804 v3

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:53:34.841428Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T20:04:30.942032Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-08T20:05:33.974924Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved69
  • parse uncertain0
  • malformed identifier8
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7f25c27-7522-4b53-87f5-8ca37102fc6a · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 1

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Observation 5d7f1fb9-f9fc-4bd8-ac13-efda35dc3109 · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 2

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Observation f13e9a1a-2158-48b9-8bea-dfd57c203f01 · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 3

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Observation 1e29fa82-c3af-41f6-a914-0eb149a86d3d · outbound

This paper cites In: Com- puter Vision – ECCV 2024: 18th European Conference, Milan, Italy, Septem- ber 29–October 4, 2024, Proceedings, Part XVII.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Com- puter Vision – ECCV 2024: 18th European Conference, Milan, Italy, Septem- ber 29–October 4, 2024, Proceedings, Part XVII

Reference 4

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Observation aa1e892b-967f-4e37-9219-732a55753034 · outbound

This paper cites IEEE Transactions on Geo- science and Remote Sensing60, 1–19 (2022).https://doi.org/10.1109/TGRS.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs IEEE Transactions on Geo- science and Remote Sensing60, 1–19 (2022).https://doi.org/10.1109/TGRS

Reference 5

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Observation 286669d8-3488-44a4-8bc6-c720cf2df816 · outbound

This paper cites In: Proceedings of the 37th International Conference on Neural Information Processing Systems.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Proceedings of the 37th International Conference on Neural Information Processing Systems

Reference 6

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Observation 058e7d20-04d0-48dc-badc-db3b060837fa · outbound

This paper cites In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Pa- quet, U., Tomczak, J., Zhang, C.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Pa- quet, U., Tomczak, J., Zhang, C

Reference 7

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Observation cf83de0f-df52-4e34-9aa4-4152caf27357 · outbound

This paper cites In: In- ternational Conference on Learning Representations (2021),https://openreview.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: In- ternational Conference on Learning Representations (2021),https://openreview

Reference 8

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Observation 5a49f8d2-d815-42de-bc47-e73d1769c8ef · outbound

This paper cites Remote Sensing of Environment120, 25–36 (2012).

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Remote Sensing of Environment120, 25–36 (2012)

Reference 9

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Observation 27c3cced-72ec-4e2d-b696-3c98a5727703 · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 10

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Observation 83bdbf4a-6467-4296-b549-205943e6d443 · outbound

This paper cites International Journal of Applied Earth Observation and Geoinformation136, 104335 (2025).https: //doi.org/https://doi.org/10.1016/j.jag.2024.104335,https://www.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs International Journal of Applied Earth Observation and Geoinformation136, 104335 (2025).https: //doi.org/https://doi.org/10.1016/j.jag.2024.104335,https://www

Reference 11

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Observation 585ee40d-9463-4bd6-a3b6-682906ebe81b · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing226, 146–163 (2025).https://doi.org/https://doi.org/10.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs ISPRS Journal of Photogrammetry and Remote Sensing226, 146–163 (2025).https://doi.org/https://doi.org/10

Reference 12

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Observation 947302c2-76a1-4748-9649-36d54a19ecf7 · outbound

This paper cites IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing12(7), 2217– 2226 (2019).https://doi.org/10.1109/JSTARS.2019.291824210, 28.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing12(7), 2217– 2226 (2019).https://doi.org/10.1109/JSTARS.2019.291824210, 28

Reference 13

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Observation 3c7dffec-9459-43d5-842e-1ebcad817a37 · outbound

This paper cites In: International Con- ference on Learning Representations (2022),https://openreview.net/forum?id= nZeVKeeFYf911.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: International Con- ference on Learning Representations (2022),https://openreview.net/forum?id= nZeVKeeFYf911

Reference 14

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Observation 26721cfa-b51b-4b3a-b7e9-75468dce1860 · outbound

This paper cites Mixtral of Experts.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Mixtral of Experts

Reference 16

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Observation 6ab3ce19-8499-4412-9dc6-c5d0ad89db4a · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 17

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Observation 2e8f4804-b0a7-40f7-9470-17ed1fee8c38 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 18

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Observation 0d37a86c-f0e3-4d62-b9d8-de1f09c994bc · outbound

This paper cites In: Thirty-seventh Conference on Neural Information Pro- cessing Systems Datasets and Benchmarks Track (2023),https://openreview.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Thirty-seventh Conference on Neural Information Pro- cessing Systems Datasets and Benchmarks Track (2023),https://openreview

Reference 19

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Observation 797daa57-1e1c-454c-a081-50a8ff73cadd · outbound

This paper cites In: Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., Scarlett, J.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., Scarlett, J

Reference 20

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Observation 7f4bcd87-91dc-475f-8d6b-bf863789bfaa · outbound

This paper cites SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Reference 21

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Observation 8f70ce3a-ea14-4f14-9275-3d4703d2c426 · outbound

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OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 22

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Observation bd6b39a8-b970-4e75-be8d-32f25434a4d3 · outbound

This paper cites In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C

Reference 23

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Observation 4e76626d-6687-4c98-858f-ce4b7436ffc8 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing227, 539–550 (2025).https://doi.org/https://doi.org/10.1016/j.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs ISPRS Journal of Photogrammetry and Remote Sensing227, 539–550 (2025).https://doi.org/https://doi.org/10.1016/j

Reference 24

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Observation d38710d2-2a84-4aff-bcb8-766e7abda69d · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2023) 4.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Advances in Neural Information Processing Systems (NeurIPS) (2023) 4

Reference 25

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Observation fa3c202b-f8d2-4fc7-a1fb-9f1ee218158d · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 26

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Observation e5624bd3-b976-460a-9c8d-965485fce9cd · outbound

This paper cites In: Bouamor, H., Pino, J., Bali, K.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Bouamor, H., Pino, J., Bali, K

Reference 27

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Observation fa9bd69a-b0b9-4f6a-a027-0161cec8e0e2 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 58(12), 8555–8566 (2020).https://doi.org/10.1109/TGRS.2020.298878210, 28.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs IEEE Transactions on Geoscience and Remote Sensing 58(12), 8555–8566 (2020).https://doi.org/10.1109/TGRS.2020.298878210, 28

Reference 28

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Observation 653817da-7b18-42c4-b2ea-2361b8c4efd5 · outbound

This paper cites IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing14, 4205–4230 (2021).https://doi.org/10.1109/JSTARS.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing14, 4205–4230 (2021).https://doi.org/10.1109/JSTARS

Reference 29

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Observation bca341b3-e370-4a44-a71f-a10d910be578 · outbound

This paper cites Decoupled Weight Decay Regularization.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Decoupled Weight Decay Regularization

Reference 30

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Observation 4300c672-2360-426e-8515-a8d1c6608488 · outbound

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

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding

Reference 31

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Observation 2b404ebb-a45b-42b9-9827-e8f2382d74af · outbound

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OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Ailuro et al

Reference 32

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Observation ce4f6e04-640e-46fc-bda5-285a8b1dbc99 · outbound

This paper cites FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle

Reference 33

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OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Machine Learning with Applications18, 100605 (2024)

Reference 34

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OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G

Reference 35

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Observation bc3c85d3-63ed-44fa-b7ce-0fe45a1d441e · outbound

This paper cites GPT-4 Technical Report.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs GPT-4 Technical Report

Reference 36

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Observation 21bc95c1-1d8e-4249-9bf6-3adf8faf41dc · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 37

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Observation e9124b71-5452-4cd7-ac31-87d1f643713c · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-04T05:53:31.819347Z digest=sha256:e3be7cbc55526df9f6f847270aa339b469213e78021506ed77f0e790ee6f0e35

Observation 02d05302-fd16-4d74-ab08-6a0ee5645664 · outbound

This paper cites IEEE Geoscience and Remote Sensing Magazine13(3), 324–337 (2025).https://doi.org/10.1109/ MGRS.2025.35602932, 4, 5.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs IEEE Geoscience and Remote Sensing Magazine13(3), 324–337 (2025).https://doi.org/10.1109/ MGRS.2025.35602932, 4, 5

Reference 39

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Observation c43620ee-794f-4c4f-8436-5afc6982b62c · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-04T05:53:31.920848Z digest=sha256:f1fd7253ef7142508cbf112f6eca4af7fe42ffb248812321896ad2afdd6dc0da

Observation c2ae1c45-8b3d-4594-94ef-c31b3ca7b0f8 · outbound

This paper cites Mapnik Project (11 2025),https://mapnik.org/, version 4.1.4 3, 8.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Mapnik Project (11 2025),https://mapnik.org/, version 4.1.4 3, 8

Reference 41

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source=pdf_text observed=2026-08-04T05:53:32.028010Z digest=sha256:5fefccd7265760d26a6dd504ea7c733c20ff5037a358362bdc20796eff1a8069

Observation caae58f8-8d62-4e4c-a682-ae8ebe687014 · outbound

This paper cites In: 2016 International Conference on Computer, Information and Telecommunication Systems (CITS).

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: 2016 International Conference on Computer, Information and Telecommunication Systems (CITS)

Reference 42

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source=pdf_text observed=2026-08-04T05:53:32.085105Z digest=sha256:57cd1a3b534661fcf2e385631ff3102aef6400578a452425dd7d54b40256c123

Observation 86f71ffc-baec-48be-b085-0e704f17da8b · outbound

This paper cites In: Meila, M., Zhang, T.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Meila, M., Zhang, T

Reference 43

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source=pdf_text observed=2026-08-04T05:53:32.146552Z digest=sha256:9e4a7bf253fc5fbf97e1ba710cec2133b317a8e925ff7447da68cbd87b362e70

Observation 83c9df30-f0c2-4f5b-865d-25bb0192c0a0 · outbound

This paper cites DINOv3.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs DINOv3

Reference 44

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source=pdf_text observed=2026-08-04T05:53:32.204156Z digest=sha256:36800fa9e70791b64f9a995a2987d36d3f412be7a7287d3ad98a6f06ec1dd88d

Observation 167fce77-26b0-4814-8f2d-692d0ed64236 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 45

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source=pdf_text observed=2026-08-04T05:53:32.259480Z digest=sha256:d298903b8ddf18b52a04078e8bd1143f3cf683788afeb923aa7186e7d8488691

Observation c75daa82-9971-406e-8592-c390dfd42b51 · outbound

This paper cites Journal of Machine Learning Research15, 1929–1958 (2014) 11.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Journal of Machine Learning Research15, 1929–1958 (2014) 11

Reference 46

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source=pdf_text observed=2026-08-04T05:53:32.313917Z digest=sha256:0ae27658a228fb20b94ffa56300edde75487a93a4e5d57ceff075a924d31b42b

Observation 2a7717cf-0e58-42d3-a7cd-50ac0735bf51 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 47

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source=pdf_text observed=2026-08-04T05:53:32.361331Z digest=sha256:7854442f042ad30d99bcc311c50da1e9ecefe8a14fc9c42cc801bc8e2befb2b6

Observation e8f8dd57-06dc-4df3-bbf8-fff685b4aefa · outbound

This paper cites Gemma 3 Technical Report.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Gemma 3 Technical Report

Reference 48

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source=pdf_text observed=2026-08-04T05:53:32.406432Z digest=sha256:3a810a096197efe4042db359c13a279f34dad71101999b3e809fecb0a3e02321

Observation e8ac18b6-2034-4878-abca-dc7509cd5bd5 · outbound

This paper cites Butterworths, London (1979),https: //www.dcs.gla.ac.uk/Keith/Preface.html10.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Butterworths, London (1979),https: //www.dcs.gla.ac.uk/Keith/Preface.html10

Reference 49

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Observation 5aadf8a3-c92a-4b21-8daa-f4c28a5ee7c7 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 50

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source=pdf_text observed=2026-08-04T05:53:32.511952Z digest=sha256:7d77af573a0d1b707e9b0d784959470f53decee9213bbbc77a7703145273ed1f

Observation 0c41d879-6793-4147-98f4-4834585ae8ba · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 51

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Observation 08a4e2df-c4cd-4522-b237-110c13a7fc33 · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-04T05:53:32.739197Z digest=sha256:cb4a5c4366ab40a6a4c736448847b0503622e9afa72e6b5e13bed18698945761

Observation 17a6b46f-60ec-4e31-ae79-60859e9c4d26 · outbound

This paper cites IEEE Transactions on Pattern Analysis & Machine Intelligence44(06), 3048–3068 (Jun 2022).https: //doi.org/10.1109/TPAMI.2021.3055564,https://doi.ieeecomputersociety.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs IEEE Transactions on Pattern Analysis & Machine Intelligence44(06), 3048–3068 (Jun 2022).https: //doi.org/10.1109/TPAMI.2021.3055564,https://doi.ieeecomputersociety

Reference 53

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Observation fc055693-d45d-4974-bcbb-3ae6457aca9c · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 54

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source=pdf_text observed=2026-08-04T05:53:32.886519Z digest=sha256:d07de5099e9d88eae38935cd44b7a925bcfdd77c18ee9a8ffe50b1815f57cd6e

Observation a3538413-545a-4c6f-8dea-3c9f76e29081 · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 55

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Observation 2f167f02-fc1f-482b-b786-53e3e7a5e8c1 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing55(7), 3965–3981 (2017).

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs IEEE Transactions on Geoscience and Remote Sensing55(7), 3965–3981 (2017)

Reference 56

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Observation fdb87bcd-b34b-465c-b3ab-823a1a156c21 · outbound

This paper cites In: The Twelfth In- ternational Conference on Learning Representations (2024),https://openreview.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs In: The Twelfth In- ternational Conference on Learning Representations (2024),https://openreview

Reference 57

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Observation 7bf2a0ed-6df1-4f83-8a3e-f6879c2279ad · outbound

This paper cites REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation

Reference 58

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source=pdf_text observed=2026-08-04T05:53:33.291203Z digest=sha256:62ffe5645782f5cb9a571431805e46dbc1623fcd453a15e5d41d9ce42581d11b

Observation 39aa27d1-4cfe-4f68-969c-525f3ad1eec9 · outbound

This paper cites Qwen2.5 Technical Report.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Qwen2.5 Technical Report

Reference 59

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source=pdf_text observed=2026-08-04T05:53:33.360732Z digest=sha256:c1811e153772ceb11b4bd59ba2f81dc8588161ff48b197da0d9484fe4a684533

Observation e654cf22-7f27-458b-b2a6-577da5b6698c · outbound

This paper cites Earth System Science Data17(3), 1245–1263 (2025).https://doi.org/10.5194/essd-17-1245-2025, https://essd.copernicus.org/articles/17/1245/2025/6.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Earth System Science Data17(3), 1245–1263 (2025).https://doi.org/10.5194/essd-17-1245-2025, https://essd.copernicus.org/articles/17/1245/2025/6

Reference 60

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source=pdf_text observed=2026-08-04T05:53:33.466107Z digest=sha256:81c2ec1db089f2a7d75aa01ec811fbd1dfd7fa8f2167e4d0a570c03f211cdc2a

Observation 4ade0f00-55a4-4d6e-b033-ef04655186da · outbound

This paper cites 5281/zenodo.72542216.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs 5281/zenodo.72542216

Reference 61

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source=pdf_text observed=2026-08-04T05:53:33.570695Z digest=sha256:7f4d841686556b43044013a32534902066f07088a7ef8b0b25a7b9f4f6ac70d3

Observation 1b08ee96-ceb3-4269-9e68-269b4b4445dc · outbound

This paper cites ISPRS Journal of Pho- togrammetry and Remote Sensing221, 64–77 (2025).https://doi.org/https: //doi.org/10.1016/j.isprsjprs.2025.01.020,https://www.sciencedirect.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs ISPRS Journal of Pho- togrammetry and Remote Sensing221, 64–77 (2025).https://doi.org/https: //doi.org/10.1016/j.isprsjprs.2025.01.020,https://www.sciencedirect

Reference 62

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source=pdf_text observed=2026-08-04T05:53:33.655035Z digest=sha256:253206db67f5ab2cb9b1b967fa17582bc72d2e1acd7f1206d75cf2b8351361d3

Observation 8fe9f25a-4a22-4206-8941-821298466cae · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing62, 1–20 (2024).

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs IEEE Transactions on Geoscience and Remote Sensing62, 1–20 (2024)

Reference 63

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source=pdf_text observed=2026-08-04T05:53:33.739237Z digest=sha256:f629aa66d333df059b48a1ab65657772986e1d396f7af5b55c5381bdf6680268

Observation a6a2449b-12dd-4b6c-bebc-174b632cbc4a · outbound

This paper cites TinyLLaVA: A Framework of Small-scale Large Multimodal Models.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs TinyLLaVA: A Framework of Small-scale Large Multimodal Models

Reference 64

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source=pdf_text observed=2026-08-04T05:53:33.803791Z digest=sha256:bbc0d2143df85e7754ca5e4017b5839d2b6b1ffe152d30cd765e95c855b58d5f

Observation eb14d47d-4e46-45e2-bb0c-e71b0b16ab11 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 65

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source=pdf_text observed=2026-08-04T05:53:33.863225Z digest=sha256:b00bf2c1ec8513abdb479fb5bcd0be037ea404bf07426762dce5da36d06c0503

Observation 16782c64-b993-4a72-81a4-e2caa2f398c6 · outbound

This paper cites 1" to "5.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs 1" to "5

Reference 67

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source=pdf_text observed=2026-08-04T05:53:33.927180Z digest=sha256:a8b1c26ab23f0ba2ce0efbd35d70de89bd98e0a1245836f768926748fb7c15f3

Observation cbd5bf89-4b3b-46f7-bb40-ed36f996c6a2 · outbound

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OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-04T05:53:33.986901Z digest=sha256:4802115630fd9a173f22defd3f2a7ba2b96427b6d219c9ac028de7b4d49fd08d

Observation 53c33e20-b985-4466-851f-7875ba864543 · outbound

This paper cites Imaginary Objects.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Imaginary Objects

Reference 69

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source=pdf_text observed=2026-08-04T05:53:34.073605Z digest=sha256:d20fb6352ff03d152d2510b6520e7ec8b9d69a054a586de4f803fd341d8a3b72

Observation 9bffad69-42b0-4670-8559-b119a865e026 · outbound

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OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-04T05:53:34.128955Z digest=sha256:c9465f6dc9005e86a250afeafac4d927cb56cd55051a54442bcec165c54a0394

Observation 0bb7c751-0906-43e1-af5c-52078dc64f1b · outbound

This paper cites Scoring Rubric: 1 (Critical Failure): Major hallucination (imaginary objects) or completely wrong scene classification.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Scoring Rubric: 1 (Critical Failure): Major hallucination (imaginary objects) or completely wrong scene classification

Reference 71

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source=pdf_text observed=2026-08-04T05:53:34.189288Z digest=sha256:6609bda5118d223686b71e12b0beb520ed86bb9e1c8d73a3ce5f9fa0e9f3c7c9

Observation 86408042-e2c7-4142-8d64-a77e53f8be19 · outbound

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OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 72

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source=pdf_text observed=2026-08-04T05:53:34.228887Z digest=sha256:63c1f38c9d4cbfce3c34cbfc4d803b0163cebb0961c7ec88fe50c661c6fcce7f

Observation 97781f0d-a8de-4dda-a733-0488e01da743 · outbound

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OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 73

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Observation 242ce902-bb6d-4402-81ed-56c9b4611dcf · outbound

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OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 74

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no resolver link, observed 2026-08-04T05:53:34.439174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:53:34.439174Z digest=sha256:81e16f5b433e8999948c613d9717058727d207f056c93a60627420cdb070f159

Observation f18d3744-db0a-4c25-a2ab-b600588cfceb · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-04T05:53:34.549864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:53:34.549864Z digest=sha256:dbd11a1f37815ae44cda394bd767c03452c670952aa83c260be83f301700ee52

Observation b22dad78-a310-4c62-8539-06f9cafaa7fc · outbound

This paper cites Scoring Rubric: 1 (Critical Failure): Incorrect answer or major hallucination; does not address the question.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Scoring Rubric: 1 (Critical Failure): Incorrect answer or major hallucination; does not address the question

Reference 76

Resolution
malformed identifier
no resolver link, observed 2026-08-04T05:53:34.620241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:53:34.620241Z digest=sha256:52526fbc30b41671b6fa9fa05ba5a2fc938827dce47c4379d7f1f5796041a34d

Observation debd3ae1-d219-4105-9c4a-a33770c6fc58 · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 77

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unresolved
no resolver link, observed 2026-08-04T05:53:34.684039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:53:34.684039Z digest=sha256:6fdfac02fdb05fbdb33dbbd87b133fd262345c8d72b18b2468e232f8f89bceb0

Observation d3990477-72be-4425-be4a-ca02210a59f1 · outbound

This paper cites The image shows.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs The image shows

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-04T05:53:34.778048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:53:34.778048Z digest=sha256:5ee6d65c03b3996ceabf5f05cab99ea8301e37fd5a9b5134ac21828c790d5cec

Observation feb3e560-1f06-4cdc-b7d0-0dda861d2123 · outbound

This paper cites an unresolved cited work.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs Unresolved cited work

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-04T05:53:34.819801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:53:34.819801Z digest=sha256:d1e354e3fed8394218d26bc28b75beed924cdc90f298e71cb88b343120e3d09d

Observation 934c5c4a-926e-4da9-9c1e-68237c7de49b · outbound

This paper cites There is a piece of terrain.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs There is a piece of terrain

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-04T05:53:34.841428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:53:34.841428Z digest=sha256:cb328aee79667b850fade4e08ff627a0ad987b1c182388f9730988835004c0ef

Observation cfd674df-3be3-4a8a-b53d-891cb4f5bf10 · outbound

This paper cites (2024).https://doi.org/10.52202/079017- 0106,https://proceedings.neurips.cc/paper_files/paper/2024/file/ 05b7f821234f66b78f99e7803fffa78a-Paper-Datasets_and_Benchmarks_Track.

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs (2024).https://doi.org/10.52202/079017- 0106,https://proceedings.neurips.cc/paper_files/paper/2024/file/ 05b7f821234f66b78f99e7803fffa78a-Paper-Datasets_and_Benchmarks_Track

Reference 3242

Resolution
malformed identifier
no resolver link, observed 2026-08-04T05:53:30.086268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:53:30.086268Z digest=sha256:e342128cb1f9ff9c72a63bf10036c7ba39e21cd5baeed61f42c889dbcd7008bb

Pith citing papers

Observation e47e925f-d320-4635-a4be-c467978b9683 · inbound

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation cites this paper.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:30:26.426316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-08T20:04:30.942032Z digest=sha256:0a2d99c651c20c3922565b9f2be266b769d5d00f3eb092d1cd49532cf2a6077c