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Paper Citation Record · LEDGER

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets

As of 22 July 2026, this Paper Citation Record lists 25 of 25 outbound references and 2 inbound Pith citation observations for arXiv:2304.02296.

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

pith.paper-citation-record.v1
2304.02296 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T08:51:37.026058Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:16:12.768793Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T05:27:39.952038Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact2
  • verified fuzzy23
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f740b811-2dce-4405-a059-c482353d75c2 · outbound

This paper cites an unresolved cited work.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Unresolved cited work

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.480686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:6cf8cc52cd0798749d99030da8e1eb77819e5012097157d04f4d3b88adcc05ff

Observation 2db54e34-6cac-410c-b270-2adbde0f3a08 · outbound

This paper cites SpaceNet: A Remote Sensing Dataset and Challenge Series.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets SpaceNet: A Remote Sensing Dataset and Challenge Series

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-24T08:54:15.916423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:fce97d12c6852fd1e99fcacaaff09863b0ca1c3876e17176dd9b9fbdc3c1f74c

Observation e8679e7c-bc9f-40e0-b3c1-74fec9208fa4 · outbound

This paper cites Polygonal building extraction by frame field learning.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Polygonal building extraction by frame field learning

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.508663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:7b6449a16455f7707716c0e769fd5297757df6594ef7c0df5c98d9cb0e20aa2c

Observation 8ac60271-87e6-4106-9520-d993e6e2a1f8 · outbound

This paper cites Deep residual learning for image recognition.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Deep residual learning for image recognition

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.502840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:551ad1302adf32d09958a7e8d6d518c54d047cc10cb1ac1eaea15883d3a6c444

Observation f8e62fc9-492b-406b-9206-4c38013d872f · outbound

This paper cites Polybuild- ing: Polygon transformer for building extraction.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Polybuild- ing: Polygon transformer for building extraction

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.500384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:5c90035594c4105a16f3ecd145d82336d731efcf3f3563e560472a2142f9bbcc

Observation 93d4fb07-242a-44be-9ae0-85ef1daa49fe · outbound

This paper cites A Survey on Locality Sensitive Hashing Algorithms and their Applications.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets A Survey on Locality Sensitive Hashing Algorithms and their Applications

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:54:15.921972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:6577af5865e22fab9c5a2bfcd43acefc64a3c78e53eb7ed73fd7f4f60a79ffaa

Observation 91102933-8548-4fa5-9edc-656710618876 · outbound

This paper cites Weakly supervised segmentation of small buildings with point labels.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Weakly supervised segmentation of small buildings with point labels

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.497752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:fa676e7264adfbda5ec2e42006728fb95a35742e4d8343cca063aabfc57e476b

Observation 8313597c-432e-4a92-8e66-645ce1da7e5c · outbound

This paper cites Joint semantic-geometric learning for polygonal building segmentation.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Joint semantic-geometric learning for polygonal building segmentation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.494962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:5f6e4a890fc2dafae1f67087d3a1d1c2be0e380597f18d0948e6185428497933

Observation 6e97e5b6-fe78-430d-ab82-ea6411359b59 · outbound

This paper cites Ce-dedup: Cost-effective convolutional neural nets training based on image deduplication.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Ce-dedup: Cost-effective convolutional neural nets training based on image deduplication

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.492258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:f3820c64e21de5f3e31bd839791c8d1cda0c49dfcb54aa8369757bba40dc729f

Observation 28c11f63-d322-41b4-8339-d6489ba8eacd · outbound

This paper cites Qhash: An efficient hashing algorithm for low-variance image deduplication.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Qhash: An efficient hashing algorithm for low-variance image deduplication

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.483470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:d8f6a5ea399a0a4c410c6af2c77805503ec55a41bb421142bdf8e12a023c63c7

Observation 740fa66c-0f36-4a2e-9215-693160ebe381 · outbound

This paper cites Topo- logical map extraction from overhead images.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Topo- logical map extraction from overhead images

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.489272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:f714ac591639910bf91c96b47d13490475671c34d130f5b147edbb24b6261948

Observation adb9a4ed-23b3-44a9-9e92-8f0ce15f3d41 · outbound

This paper cites Topolog- ical map extraction from overhead images.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Topolog- ical map extraction from overhead images

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.486445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:991b911a1142e7a4e01609c543f2fedbeca93cd65d8de76cf3fdd737c73b1675

Observation 29aab27f-b25a-4e5e-b530-4c31caaee1e5 · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.477724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:e8a34018b8b0097b634b5e47f552ed205bf24b54f4144c08ff6fc8616453e94e

Observation d51c4a9e-b3ee-471e-9cfd-35eb30660ff4 · outbound

This paper cites Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.474337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:b77453c82e1b1aa0430d604d645b4251123b554d52072df77c070d9c3da95b53

Observation 871238c6-c11f-4b30-acfa-bca1600dfd78 · outbound

This paper cites Deep learning for understanding satellite im- agery: An experimental survey.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Deep learning for understanding satellite im- agery: An experimental survey

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.539305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:f67f8d10538fb280d16afccd2514dc6ffd07d77933ca09ec18dcc35dccf39203

Observation b5a03d6d-3a4c-4d47-893c-191375ef5d5a · outbound

This paper cites A self-supervised descriptor for image copy detection.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets A self-supervised descriptor for image copy detection

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.535904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:528ff2261ec912a3adf008ae744a557f272d3ea02ee1f860ec6323e48177cb0d

Observation 833ef657-044f-4062-9b68-6c9303d588bd · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets U-net: Convolutional networks for biomedical image segmentation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.532642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:1e92cecb24c75f62eb0add61be09b259042aec84faa2103e500a86cb58b7c08c

Observation 6de7f40e-9201-47e4-801c-db1dd9e39767 · outbound

This paper cites Automatic building extrac- tion based on boundary detection network in satellite images.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Automatic building extrac- tion based on boundary detection network in satellite images

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.542758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:b8235aad76d39331bad902f23aa15c9a0de4b0d63aff0080800a0a4ac068da55

Observation 2eb8ff55-ba57-404f-9d74-86344f00775d · outbound

This paper cites Buildmapper: A fully learnable framework for vectorized building contour extraction.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Buildmapper: A fully learnable framework for vectorized building contour extraction

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.529167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:a20c549d139ae92572610adfadc6f332d8a8a7ebe4d9d8a1b3c5d076ea22a27f

Observation 8d89ee04-7297-4951-8c14-3a177ee19571 · outbound

This paper cites Hisup: Accurate polygonal mapping of buildings in satellite im- agery with hierarchical supervision.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Hisup: Accurate polygonal mapping of buildings in satellite im- agery with hierarchical supervision

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.525661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:c26854a1b1c1a2675e039f49fc1cddc6031f92f076ed63796e6980fa71e002e1

Observation 3f89ece6-8147-4329-bff8-f734ab557e94 · outbound

This paper cites Procedural roof genera- tion from a single satellite image.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Procedural roof genera- tion from a single satellite image

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.548640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:35c5660057496337c4234f4cbb1e1fd96c03afcf4a9f27c90edc282d4e1c3961

Observation 248eadb4-a6fa-46cd-abf6-209070864317 · outbound

This paper cites Dataset-driven unsupervised object discovery for region-based instance image retrieval.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Dataset-driven unsupervised object discovery for region-based instance image retrieval

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.522310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:874117c3d13f8b5588c6dd52864fabe9c5f5f41065cf0a2582b03fc1ba600032

Observation 68a4e55f-c32b-446b-9b30-05debd59fc1d · outbound

This paper cites Build- ing instance segmentation and boundary regularization from high-resolution remote sensing images.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Build- ing instance segmentation and boundary regularization from high-resolution remote sensing images

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.512069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:249f7c901c77dfd9fce650338782b2c355490b11dfef38c1ddd450e0001b7e8f

Observation fa4e9ed4-2e1c-42ec-85d7-34bb5113fb41 · outbound

This paper cites Polyworld: Polygonal building ex- traction with graph neural networks in satellite images.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Polyworld: Polygonal building ex- traction with graph neural networks in satellite images

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.519044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:8e44701f5f275f7951cfc378e1483c7e4e25cba90749ba8494c6d0b3b9db2cb8

Observation 1c7fc3b6-23d7-4a6c-9949-d42dbaac6bfb · outbound

This paper cites Machine-learned regularization and polygonization of build- ing segmentation masks.

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets Machine-learned regularization and polygonization of build- ing segmentation masks

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T08:54:16.515597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-24T08:51:37.026058Z digest=sha256:680be2ea6f93a83a530dd017c59d5f4ae03cb6b39e881763943069cc68bedc6b

Pith citing papers

Observation 35a63420-d350-4e7d-b2fd-6423a2697fd4 · inbound

Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems cites this paper.

Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-16T18:31:10.896820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-16T18:28:33.277442Z digest=sha256:53eb9b8779af13bce12ccb81e827f4aa83bc82e91810ddae2a64e15d445cb152

Observation 12f12e84-869a-4c8d-9bfd-3d46c3817faa · inbound

Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks cites this paper.

Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets

Reference 119

Resolution
verified exact
local_arxiv, observed 2026-07-03T05:27:39.953471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-27T13:16:12.768793Z digest=sha256:b4d9f0ef03bfca3d2dc796e64b4b468a1733688ad721a83b2f8b9a6cbd23bcb7