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Paper Citation Record · LEDGER

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection

As of 24 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2507.18513.

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

pith.paper-citation-record.v1
2507.18513 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:36:35.729740Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

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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

76 of 76 outbound references displayed

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External citation measurements

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Outbound references

Observation d073635b-7df5-4a32-be9d-b7d3b98df824 · outbound

This paper cites Carte & chiffres cl ´es - la fili `ere m´ethanisation en bretagne et pays de la loire.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Carte & chiffres cl ´es - la fili `ere m´ethanisation en bretagne et pays de la loire

Reference 1

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This paper cites Reduc- ing false alarms in video surveillance by deep feature statis- tical modeling, 2023.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Reduc- ing false alarms in video surveillance by deep feature statis- tical modeling, 2023

Reference 2

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This paper cites Exploring robust features for few-shot object detection in satellite imagery, 2024.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Exploring robust features for few-shot object detection in satellite imagery, 2024

Reference 3

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This paper cites Structure tensor rep- resentation for robust oriented object detection, 2024.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Structure tensor rep- resentation for robust oriented object detection, 2024

Reference 4

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This paper cites A survey on object detec- tion in optical remote sensing images.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection A survey on object detec- tion in optical remote sensing images

Reference 5

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This paper cites Learning rotation-invariant convolutional neural networks for object detection in vhr optical remote sensing images.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Learning rotation-invariant convolutional neural networks for object detection in vhr optical remote sensing images

Reference 6

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Observation bf6e9a97-35da-4d89-a595-d4d674d3aef1 · outbound

This paper cites MMYOLO: OpenMMLab YOLO series toolbox and benchmark.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection MMYOLO: OpenMMLab YOLO series toolbox and benchmark

Reference 7

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Observation f4a8e6f2-bfd5-413b-b0dd-c4ec25f26135 · outbound

This paper cites Cusworth, Andrew K.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Cusworth, Andrew K

Reference 8

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This paper cites Learning roi transformer for oriented object detection in aerial images.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Learning roi transformer for oriented object detection in aerial images

Reference 9

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Observation d06af364-1e9e-4735-91b6-23141a01d299 · outbound

This paper cites Centernet: Keypoint triplets for object detection.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Centernet: Keypoint triplets for object detection

Reference 10

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Observation b6dd0094-5b7f-4a07-99f7-fd09463fc3cc · outbound

This paper cites Global tracking and quantification of oil and gas methane emissions from recurrent sentinel-2 imagery.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Global tracking and quantification of oil and gas methane emissions from recurrent sentinel-2 imagery

Reference 11

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This paper cites A discriminatively trained, multiscale, deformable part model.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection A discriminatively trained, multiscale, deformable part model

Reference 12

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This paper cites Felzenszwalb, Ross B.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Felzenszwalb, Ross B

Reference 13

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Observation 099381a4-2e8a-407e-bf5f-bdab7ca0cf72 · outbound

This paper cites A decision-theoretic generalization of on-line learning and an application to boosting.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection A decision-theoretic generalization of on-line learning and an application to boosting

Reference 14

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Observation afcf3080-e7d7-492a-98c4-38ecb111d170 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 15

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Observation d9feb42c-e72b-4883-ad93-4e3f646a52ab · outbound

This paper cites Deformable Part Models are Convolutional Neural Networks.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Deformable Part Models are Convolutional Neural Networks

Reference 16

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Observation bf4c0f4e-6617-4508-858e-6ca586573252 · outbound

This paper cites Redet: A rotation-equivariant detector for aerial object detection.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Redet: A rotation-equivariant detector for aerial object detection

Reference 17

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Observation 009afa56-6280-496d-8594-3fd3571f1765 · outbound

This paper cites Multisized object detection using space- borne optical imagery.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Multisized object detection using space- borne optical imagery

Reference 18

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Observation 86622064-9110-4d53-87d6-aabe01e23ad9 · outbound

This paper cites Mask r-cnn.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Mask r-cnn

Reference 19

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This paper cites Mutdet: Mutually optimizing pre-training for remote sensing object detection, 2024.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Mutdet: Mutually optimizing pre-training for remote sensing object detection, 2024

Reference 20

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Observation b9921e6b-8a02-44ca-a495-397cd8f7f274 · outbound

This paper cites Methane and climate change – global methane tracker 2022 – analysis.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Methane and climate change – global methane tracker 2022 – analysis

Reference 21

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This paper cites BD ORTHO®: L’image g ´eographique du ter- ritoire national, la France vue du ciel.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection BD ORTHO®: L’image g ´eographique du ter- ritoire national, la France vue du ciel

Reference 22

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This paper cites Acc `es `a l’Open Data Couvertures Spot 6-7 France.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Acc `es `a l’Open Data Couvertures Spot 6-7 France

Reference 23

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Observation 21f0a8c9-89e4-42f8-9835-4cccf0b424bb · outbound

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Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Ultralytics YOLO, 2023

Reference 24

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Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Few-shot object detection via feature reweighting

Reference 25

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This paper cites Yolov11: An overview of the key architectural enhancements, 2024.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Yolov11: An overview of the key architectural enhancements, 2024

Reference 26

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Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Cornernet: Detecting objects as paired keypoints

Reference 27

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This paper cites Rotation- insensitive and context-augmented object detection in re- mote sensing images.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Rotation- insensitive and context-augmented object detection in re- mote sensing images

Reference 28

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This paper cites Object detection in optical remote sensing images: A survey and a new benchmark.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Object detection in optical remote sensing images: A survey and a new benchmark

Reference 29

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This paper cites Large selective kernel network for remote sensing object detection, 2023.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Large selective kernel network for remote sensing object detection, 2023

Reference 30

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This paper cites Lsknet: A foun- dation lightweight backbone for remote sensing, 2024.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Lsknet: A foun- dation lightweight backbone for remote sensing, 2024

Reference 31

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Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Microsoft COCO: Common Objects in Context

Reference 32

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This paper cites The danish national effort to minimise methane emissions from biogas plants.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection The danish national effort to minimise methane emissions from biogas plants

Reference 33

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This paper cites Nathan Mundhenk, Goran Konjevod, Wesam A.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Nathan Mundhenk, Goran Konjevod, Wesam A

Reference 34

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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.

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Observation 4b7d7ea8-2bb8-475c-8768-59c31aee137d · outbound

This paper cites an unresolved cited work.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Unresolved cited work

Reference 35

Resolution
unresolved
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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.

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Observation dd371475-0ce8-45dc-aa10-219d3cc17bbb · outbound

This paper cites Tech- nical Summary, page 35–144.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Tech- nical Summary, page 35–144

Reference 36

Resolution
verified fuzzy
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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=pdf_text observed=2026-08-06T14:36:35.589347Z digest=sha256:4f54976b48eec68c043958fba02c5783907dda2eefcb4c425a9a08d271d9e612

Observation afacf922-d8b0-4c11-abf8-7859d0b6e509 · outbound

This paper cites Automatic methane plumes detection in time series of sentinel-5p l1b images.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Automatic methane plumes detection in time series of sentinel-5p l1b images

Reference 37

Resolution
verified fuzzy
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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=pdf_text observed=2026-08-06T14:36:35.592193Z digest=sha256:500d27cfb69480afaa7c64844d6cd0522cfe5a0d99f83a66fb8f971bf95b7322

Observation 906512bc-9016-489a-92e2-1a9fa798a086 · outbound

This paper cites Methane plumes detection on prisma l1 images with the adjusted spectral matched filter and wind data.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Methane plumes detection on prisma l1 images with the adjusted spectral matched filter and wind data

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.311129Z

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=pdf_text observed=2026-08-06T14:36:35.594771Z digest=sha256:478b1b42a8be4bf3598a251be92fc15bf5fdc64fbb874c785cf5ec17001ea757

Observation 767cfce5-8080-445e-81b9-492fe95af0c7 · outbound

This paper cites Satellite observations reveal extreme methane leakage from a natural gas well blowout.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Satellite observations reveal extreme methane leakage from a natural gas well blowout

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.301237Z

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=pdf_text observed=2026-08-06T14:36:35.597669Z digest=sha256:a43bb2b11c9a8546ad2a5c0e6c9445cd027cf0578d278814ac0638c3eea1d736

Observation 6a8c2cef-18c2-4769-8e24-7e7b42596a4e · outbound

This paper cites Deep learning based electric pylon detection in remote sensing images.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Deep learning based electric pylon detection in remote sensing images

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.292365Z

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=pdf_text observed=2026-08-06T14:36:35.600301Z digest=sha256:47bc2ba49dc44534b67a9de39e444d9fdc28f9cfd6717a6a8ff6de261d0c9935

Observation 3d5b89e0-7044-4a58-b82a-1a7ed924b678 · outbound

This paper cites Ng, and Robert B.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Ng, and Robert B

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.283553Z

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=pdf_text observed=2026-08-06T14:36:35.602959Z digest=sha256:fcee10645909aaadb88f7ab290c6678803b5fa5949e6c775db1da46c7f280cdb

Observation 88728206-a843-49ea-850f-7f6b0fb415ef · outbound

This paper cites Vehicle detec- tion in aerial imagery : A small target detection benchmark.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Vehicle detec- tion in aerial imagery : A small target detection benchmark

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.273608Z

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=pdf_text observed=2026-08-06T14:36:35.608638Z digest=sha256:5b37f2f5094470f105539992f1266c81d2f85ea972551b4f310cf10b12e7bcf1

Observation 2ef06a32-9bef-4542-9d67-53d60b2d315f · outbound

This paper cites YOLOv3: An Incremental Improvement.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection YOLOv3: An Incremental Improvement

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T14:36:35.611578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:35.611578Z digest=sha256:b3e67517bc3dc1af85253665631ad118df64a6dc4debf17a4f4bf276e78a2fe3

Observation dfeaa9a3-60db-4a74-bf88-d4580fdba17d · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection You Only Look Once: Unified, Real-Time Object Detection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T14:36:35.615266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:35.615266Z digest=sha256:e7512e6272c8cb56f242c38443ab2c5692fa7cd4c9e09dedcf9111c3c0b58aa2

Observation 22d31a7e-89e4-4bbf-a0ae-0876fea949bf · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.264135Z

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=pdf_text observed=2026-08-06T14:36:35.618091Z digest=sha256:88aabcc687fc4a4b749b1afaf31b3298a2b2ca96b73d9a20ca9d0195108e6f0b

Observation 6647a6a8-a816-4608-b59c-a1d39ea98d58 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks, 2016.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks, 2016

Reference 46

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:35.621450Z digest=sha256:42b0fa9156d2ef425c0463724be0c3fa5946d1f5d107de38e33a29c18a9ac913

Observation c8fd8416-1933-4555-9263-7c12e3c1673a · outbound

This paper cites Mapping industrial poultry operations at scale with deep learning and aerial imagery.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Mapping industrial poultry operations at scale with deep learning and aerial imagery

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:36:35.801550Z

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=pdf_text observed=2026-08-06T14:36:35.624339Z digest=sha256:5861bdc0b324b5e42e5e38374c1daea70aa985ae6c2c1957579c064ee1a9b162

Observation 6f9569aa-a4b6-4784-b70d-bcffd4fca4b7 · outbound

This paper cites Lavista Ferres.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Lavista Ferres

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.240270Z

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=pdf_text observed=2026-08-06T14:36:35.627163Z digest=sha256:7f455f1e28bf0cc89aa2bd9410addda3cd9ad0d3644688a64eb507a55b676797

Observation 224d4ce8-bad4-4382-b370-722120f54195 · outbound

This paper cites Schapire.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Schapire

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.230707Z

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=pdf_text observed=2026-08-06T14:36:35.629586Z digest=sha256:ce3e4dcf6885f0f364de2e73a3f2e6b7eb324c88aae883f890bdb508cf642e85

Observation 584bc3a2-51de-41f9-926e-a82d6e0a0e57 · outbound

This paper cites an unresolved cited work.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:36:36.222222Z

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=pdf_text observed=2026-08-06T14:36:35.632107Z digest=sha256:9f6e62274a1d244f4ec09bfbac20860098ca234c4d11370a659f9138a5e964df

Observation 0eafdc29-ea8e-4ed6-b479-b90241c3cd6b · outbound

This paper cites A har- monised, high-coverage, open dataset of solar photovoltaic installations in the uk.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection A har- monised, high-coverage, open dataset of solar photovoltaic installations in the uk

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.211441Z

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=pdf_text observed=2026-08-06T14:36:35.634792Z digest=sha256:0a3ded73957ea5b0d242d7cb82c1dc00ae3c1d8253ada4dd2025751b0b0b62b3

Observation 0d082f9d-4ffa-49d2-b563-07e4c4e472b7 · outbound

This paper cites Pbnet: Part-based convolutional neural network for complex composite object detection in remote sensing im- agery.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Pbnet: Part-based convolutional neural network for complex composite object detection in remote sensing im- agery

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.176074Z

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.

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Observation 90a83480-1a9a-43fa-9c77-371d3d1112e5 · outbound

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

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Fair1m: A benchmark dataset for fine- grained object recognition in high-resolution remote sens- ing imagery

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.162502Z

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.

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Observation 8a34f780-037d-4d9f-ab49-2f667b6d91d6 · outbound

This paper cites A harmonised, high- coverage, open dataset of solar photovoltaic installations in the UK.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection A harmonised, high- coverage, open dataset of solar photovoltaic installations in the UK

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.153447Z

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.

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Observation 33df519e-9289-4d0c-8e6f-2cf7965dbe14 · outbound

This paper cites Thorpe, Robert O.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Thorpe, Robert O

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.120275Z

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.

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Observation 76e674ee-6ad8-4003-aef0-66ba5f614668 · outbound

This paper cites Fcos: Fully convolutional one-stage object detection.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Fcos: Fully convolutional one-stage object detection

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.107273Z

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.

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Observation db5fde20-b946-4f69-bfd1-44b831118d3f · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, 2022.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, 2022

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.098400Z

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.

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Observation ff3faf8a-3b17-42bb-90bb-ee1d5e4ec5bb · outbound

This paper cites Yolov9: Learning what you want to learn using pro- grammable gradient information, 2024.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Yolov9: Learning what you want to learn using pro- grammable gradient information, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.087565Z

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.

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Observation 1f529c54-544d-48ab-845d-6f6b139ca826 · outbound

This paper cites Williams, Mark Omara, Anthony Himmelberger, Daniel Zavala-Araiza, Katlyn MacKay, Joshua Benmergui, Maryann Sargent, Steven C.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Williams, Mark Omara, Anthony Himmelberger, Daniel Zavala-Araiza, Katlyn MacKay, Joshua Benmergui, Maryann Sargent, Steven C

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.077614Z

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=pdf_text observed=2026-08-06T14:36:35.677223Z digest=sha256:b075266aa5d70f3530d14ce4eaa59e49ab53cc058d7a27ffba42b1257f403b4e

Observation 6982df1c-ac01-4761-8ab1-4030f977c357 · outbound

This paper cites Detectron2.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Detectron2

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.064456Z

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.

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Observation ed5423cc-c53b-4d1b-802f-c3a8e63cb364 · outbound

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

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Dota: A large-scale dataset for object detection in aerial images

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T14:36:35.683576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:35.683576Z digest=sha256:5af3030947cc36d7c65cc672c08668d6a34381f9127d25f436bad9e2616167f2

Observation 08ad73e9-e0a6-4cb2-a830-35006d500d7d · outbound

This paper cites A review of object de- tection based on deep learning.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection A review of object de- tection based on deep learning

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.044703Z

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=pdf_text observed=2026-08-06T14:36:35.686046Z digest=sha256:e8125a6c15f09f99bfa3f2a98b08a2b2162edab599840b42af02ded8c1edb48f

Observation c57757af-2089-440a-81a4-21913b86e3da · outbound

This paper cites Oriented R-CNN for Object Detection.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Oriented R-CNN for Object Detection

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:36:35.777757Z

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.

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Observation ab316cf1-9612-4339-a1c3-22bdca1ec008 · outbound

This paper cites Gliding vertex on the horizontal bounding box for multi-oriented object detec- tion.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Gliding vertex on the horizontal bounding box for multi-oriented object detec- tion

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.033674Z

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=pdf_text observed=2026-08-06T14:36:35.691627Z digest=sha256:14dd9bcf72364d5ada5ee28dc5de551f9c655ca10dfe635a165a61556b1945d8

Observation 47772570-d38b-4709-afba-a03efc1bfb7a · outbound

This paper cites Arbitrary-oriented object de- tection with circular smooth label.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Arbitrary-oriented object de- tection with circular smooth label

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.025235Z

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=pdf_text observed=2026-08-06T14:36:35.694034Z digest=sha256:8a385e5f3ccebe1a879ef4068be0186267cf5fb18df06290511327a088da3d34

Observation bebb6455-01ca-41c9-a8e8-3518947bdb14 · outbound

This paper cites On the arbitrary-oriented ob- ject detection: Classification based approaches revisited.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection On the arbitrary-oriented ob- ject detection: Classification based approaches revisited

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:36.003805Z

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=pdf_text observed=2026-08-06T14:36:35.696788Z digest=sha256:28a6ae72d9ecc707ef8e321e712b5bae1e24e4f47264d5f030136f4e816fdb36

Observation 35673b3f-9370-4345-85ba-fd31a368f264 · outbound

This paper cites R3det: Refined single-stage detector with feature refinement for ro- tating object.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection R3det: Refined single-stage detector with feature refinement for ro- tating object

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:35.989923Z

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=pdf_text observed=2026-08-06T14:36:35.699489Z digest=sha256:460d4d67cdc5673c8953fd4a93063f9acdb695ea69e8fe84d4c05b2f593e8aee

Observation b2d0c49a-f752-4086-8e15-bf736648ecff · outbound

This paper cites Rethinking rotated object detection with gaussian wasserstein distance loss.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Rethinking rotated object detection with gaussian wasserstein distance loss

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:36:35.979367Z

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=pdf_text observed=2026-08-06T14:36:35.702090Z digest=sha256:cb6b1b38300aefe4ed44b97aca87dab30b9844556a3008e7bb929cf48fc38c84

Observation a74585e5-7525-4fec-9424-217bfa49e5c9 · outbound

This paper cites Learning high-precision bounding box for rotated object detection via kullback- leibler divergence.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Learning high-precision bounding box for rotated object detection via kullback- leibler divergence

Reference 69

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Observation 57b6f6b4-d2e1-4b87-b7f4-2d73a7fb47ff · outbound

This paper cites Reppoints: Point set representation for object detection.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Reppoints: Point set representation for object detection

Reference 70

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This paper cites Phase-shifting coder: Predicting ac- curate orientation in oriented object detection.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Phase-shifting coder: Predicting ac- curate orientation in oriented object detection

Reference 71

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This paper cites Part-based R-CNNs for Fine-grained Category Detection.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Part-based R-CNNs for Fine-grained Category Detection

Reference 72

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This paper cites Object detection with deep learning: A review.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Object detection with deep learning: A review

Reference 73

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Observation fdf3f13b-177e-4bec-bd53-1104bde6adeb · outbound

This paper cites Mmrotate: A rotated object detection benchmark using pytorch.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Mmrotate: A rotated object detection benchmark using pytorch

Reference 74

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Observation e234b753-add6-4d20-a887-0a83e2de1367 · outbound

This paper cites Convolutional neu- ral network based automatic object detection on aerial im- ages.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Convolutional neu- ral network based automatic object detection on aerial im- ages

Reference 75

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Observation a40dfde6-f7fc-4dcf-b7b2-49985cae1eb6 · outbound

This paper cites an unresolved cited work.

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection Unresolved cited work

Reference 2016

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