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Paper Citation Record · LEDGER

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment

As of 23 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2505.08589.

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

pith.paper-citation-record.v1
2505.08589 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:55:12.090298Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy17
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5e0d908-c92c-4c14-b69c-9b4646f67e5e · outbound

This paper cites Ballesteros, German Sanchez-Torres, and John W.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Ballesteros, German Sanchez-Torres, and John W

Reference 1

Resolution
verified exact
doi, observed 2026-08-15T21:55:12.130878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:11.964691Z digest=sha256:46f1e630d02f40b9b8f6ab6d8a37f78d2d76989d91010a8ccc29750cc877bda0

Observation f7d2b881-4bfa-442d-ae13-c0667b56dd45 · outbound

This paper cites A critical evaluation of aerial datasets for semantic segmentation.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment A critical evaluation of aerial datasets for semantic segmentation

Reference 2

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no resolver link, observed 2026-08-15T21:55:11.969833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:55:11.969833Z digest=sha256:84fbb182b54bedf3f2ac62f9a6d3c3d78d915bd8460e03101407031784fcc52f

Observation 9efdbf9f-caf9-47f2-b9d8-b5172157bf74 · outbound

This paper cites opendd: A large-scale roundabout drone dataset.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment opendd: A large-scale roundabout drone dataset

Reference 3

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unresolved
no resolver link, observed 2026-08-15T21:55:11.974781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:55:11.974781Z digest=sha256:6e7319108ec6621e1c23eb9084811dc366bca6df38f9e04e4b6e1151415f9860

Observation b4c039e5-a2e4-425f-a5cd-915374bfc665 · outbound

This paper cites VDD: Varied Drone Dataset for Semantic Segmentation.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment VDD: Varied Drone Dataset for Semantic Segmentation

Reference 4

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unresolved
no resolver link, observed 2026-08-15T21:55:11.979805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:55:11.979805Z digest=sha256:f0e526bcb0026e0b7962594f0f09ffa67b0aa38f34779c1c4ec5758fcdf2695d

Observation 17f25c92-10a8-4133-9e04-078814158a78 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.758465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:11.985400Z digest=sha256:f767c3b7832628c5909ca61abac0f8e9cbf4cf5ccfe793cb1275c5d543e65dc7

Observation 1e7f5331-c1cf-430c-a4f8-43332fa5c2bb · outbound

This paper cites Large-scale structure from motion with semantic constraints of aerial images.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Large-scale structure from motion with semantic constraints of aerial images

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.743763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:11.990154Z digest=sha256:253e0c384deb1a3f19bfc558b35568c294408cc216fbcca780280e0715a88f77

Observation d383817a-bb23-48a9-9720-b78aad64931f · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Masked-attention mask transformer for universal image segmentation

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.728768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:11.995599Z digest=sha256:8520bb0571b0d62a44d0b40b9595f9368ca4a1fc8c9d7642e4ac1be228bfb851

Observation 5b69e984-76d9-4c03-ace5-20b71b222285 · outbound

This paper cites MMSegmentation : Openmmlab semantic segmentation toolbox and benchmark.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment MMSegmentation : Openmmlab semantic segmentation toolbox and benchmark

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.713112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.000279Z digest=sha256:23a05875a979e4c1b95d7abe06bd33084c71ff3d356a7e4cc10acf9a197ee97b

Observation d0fd1698-659e-47a9-a295-fb33cabd0837 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment The cityscapes dataset for semantic urban scene understanding

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.696656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.004882Z digest=sha256:2da7ee52c196ac30998a9983c20efaea95576b9a255c2057976bf23a1af23fda

Observation 9f611220-1597-47c9-bb08-8709e9625f4f · outbound

This paper cites S egmentation B enchmark, 2019.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment S egmentation B enchmark, 2019

Reference 10

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raw_fallback, observed 2026-08-15T21:55:12.681967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.009379Z digest=sha256:eddf59a79435191d6711c741a839918ae4999e2bba6db6bb98b98021b85ba53d

Observation 3cd90874-f398-4903-a6c7-22e58ccfd38f · outbound

This paper cites Mid-air: A multi-modal dataset for extremely low altitude drone flights.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Mid-air: A multi-modal dataset for extremely low altitude drone flights

Reference 11

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:55:12.013946Z digest=sha256:c9a34ebb4fd44abf083269665f9bcc0b94b0f72ee39314e708aaaf4d856ff2df

Observation 1488a1a4-9086-4f7b-a2f5-5bf8c14ea00e · outbound

This paper cites Geiger, P.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Geiger, P

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.667325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.018713Z digest=sha256:4b5464dc8a94ebd3ac76d17d5db0bd7069c3fab0c966608765e558a7f2db0fa2

Observation 79fba63d-0de6-4965-9425-b6d4424266c7 · outbound

This paper cites Performance analysis of semantic segmentation algorithms for finely annotated new uav aerial video dataset (manipaluavid).

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Performance analysis of semantic segmentation algorithms for finely annotated new uav aerial video dataset (manipaluavid)

Reference 13

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raw_fallback, observed 2026-08-15T21:55:12.652546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.023668Z digest=sha256:cbf1e012042eb208cde1a419289ae61f4416b66a2f4609871bf50c391c555167

Observation 39787f5c-d5eb-49d8-b157-b3c1e462d515 · outbound

This paper cites xBD: A Dataset for Assessing Building Damage from Satellite Imagery.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment xBD: A Dataset for Assessing Building Damage from Satellite Imagery

Reference 14

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unresolved
no resolver link, observed 2026-08-15T21:55:12.028869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:55:12.028869Z digest=sha256:877a9eea21c130f007b36a607079823a90a7ecd5a6ec57bea3beb776ffbb78ec

Observation ed5b5cd3-7f2c-476d-bba9-0a4297bc024f · outbound

This paper cites A comprehensive review for typical applications based upon unmanned aerial vehicle platform.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment A comprehensive review for typical applications based upon unmanned aerial vehicle platform

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.637282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.034045Z digest=sha256:da44b42d0a286329073c404cfb90158c83067323450d7a9fb629218b9a48d1f4

Observation 1b8030c0-8ba3-4481-b393-fdfe57d68bfd · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d

Reference 16

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unresolved
no resolver link, observed 2026-08-15T21:55:12.038759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:55:12.038759Z digest=sha256:fb653826dbe8ba39bdb95ccb3dcc19364e34a075baf01dfb7a0842fd2639d8ca

Observation 474aca98-5ad8-4be6-aa92-63d594feee37 · outbound

This paper cites Uavid: A semantic segmentation dataset for uav imagery.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Uavid: A semantic segmentation dataset for uav imagery

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.612491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.044059Z digest=sha256:fe95825434dc7fb0953d44b0fdb749da59e068695b83881752e3093136a0ebc8

Observation 5fddc844-36ab-4e01-ad3e-3d9a12e29c80 · outbound

This paper cites Semantics through time: Semi-supervised segmentation of aerial videos with iterative label propagation.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Semantics through time: Semi-supervised segmentation of aerial videos with iterative label propagation

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.597229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.048784Z digest=sha256:2b411f10fac141cf28304a20b633b0ac2e704f0903c72c8d9ffbf35ab7c69963

Observation 64060b1c-9302-49ba-9100-90b8c2d1795b · outbound

This paper cites Unmanned aerial vehicles (uavs): Practical aspects, applications, open challenges, security issues, and future trends.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Unmanned aerial vehicles (uavs): Practical aspects, applications, open challenges, security issues, and future trends

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.580622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.053439Z digest=sha256:6b324294ac616b8fdb2ea88dab0ef6969f280e9746f3f4cd39c2507c9bab4e93

Observation 88183a59-e598-4bf8-8267-6f0ebac6539e · outbound

This paper cites Icg drone dataset.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Icg drone dataset

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.565781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.057995Z digest=sha256:b95673e27d6eeea32453cd290ab6c03a2c212bf36b3075e28a1822fd5630e61b

Observation df41a7cb-63d4-412a-b53f-5c9f8af6096b · outbound

This paper cites Ensemble knowledge transfer for semantic segmentation.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Ensemble knowledge transfer for semantic segmentation

Reference 21

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raw_fallback, observed 2026-08-15T21:55:12.225504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.062980Z digest=sha256:392d0936f69e4d933458b48280a6984b8076acc12f5548df3386b4ad835f563d

Observation 725412c4-3293-4aa3-a28f-cdc58f3b26a0 · outbound

This paper cites Finding a landing site in an urban area: A multi-resolution probabilistic approach.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Finding a landing site in an urban area: A multi-resolution probabilistic approach

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.551125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.067575Z digest=sha256:baf0795bf680014dc8a6198b3dcb3bb386615c3a2586428de8c3b1854b26faca

Observation 6cef4b65-ff42-4c19-b2e8-4b59126880ed · outbound

This paper cites The multi-temporal urban development spacenet dataset.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment The multi-temporal urban development spacenet dataset

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.535963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.072199Z digest=sha256:0b188937ec06327e7045b90d89324aad90763129ad7781ceeef467febafc93af

Observation 094c4665-18ea-4e39-a9a0-af384a1efcb8 · outbound

This paper cites Samrs: Scaling-up remote sensing segmentation dataset with segment anything model.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Samrs: Scaling-up remote sensing segmentation dataset with segment anything model

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.520856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.076776Z digest=sha256:45c0c5763af88493bb3cb21c259ba2279746cb84f09400386a1414c292d8e730

Observation c1fc1b91-9b8b-4eac-8451-4ef73b338b31 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Segformer: Simple and efficient design for semantic segmentation with transformers

Reference 25

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unresolved
no resolver link, observed 2026-08-15T21:55:12.081387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:55:12.081387Z digest=sha256:5e4fb3a64e3ab69be6b782750c3ae59d13c153a10a432788ef9e1267671c3a1d

Observation 1f2ddfef-057f-4761-bdfa-e91dd5de152a · outbound

This paper cites Bisenet: Bilateral segmentation network for real-time semantic segmentation.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment Bisenet: Bilateral segmentation network for real-time semantic segmentation

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-15T21:55:12.495962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T21:55:12.085858Z digest=sha256:5fc4566e15b07bbe1e4091c58157be821695d9b7a1122fe89bdb29487c2cadfe

Observation 783b990f-d84e-4828-bb81-1b8ab9383ae6 · outbound

This paper cites write newline.

MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment write newline

Reference 27

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unresolved
no resolver link, observed 2026-08-15T21:55:12.090298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:55:12.090298Z digest=sha256:9325b39dd8e8206ba14b6be5c0e64364530f4ad8553199d3d80542e196ea276f

Pith citing papers

No inbound Pith citation observations are available.