Paper Citation Record · LEDGER

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging

As of 19 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2508.15057.

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

pith.paper-citation-record.v1
2508.15057 v1

Coverage vector

measured 37 of 37 reference resolution

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measured 37 of 37 standing notices

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 6b085a0a-210c-42ee-bf4d-35c3f3c286df · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 1

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Observation 67135238-e83c-4d74-b23c-01a3f9be34e3 · outbound

This paper cites Twins: Revisiting the design of spatial attention in vision transformers.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Twins: Revisiting the design of spatial attention in vision transformers

Reference 2

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Observation f7d4fe57-49f2-4cec-854c-90e4b0bc71d0 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

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Observation 04e1c3aa-5d04-4087-9287-174df3952690 · outbound

This paper cites Optical gas imaging and deep learning for quantifying enteric methane emissions from rumen fermentation in vitro.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Optical gas imaging and deep learning for quantifying enteric methane emissions from rumen fermentation in vitro

Reference 4

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Observation 8dd26329-f979-45a2-8779-08e468152ff9 · outbound

This paper cites Searching for mo- bilenetv3.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Searching for mo- bilenetv3

Reference 5

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Observation ce1fd561-fd6d-4d18-8774-486834a44ab4 · outbound

This paper cites Interlaced Sparse Self-Attention for Semantic Segmentation.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Interlaced Sparse Self-Attention for Semantic Segmentation

Reference 6

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Observation 205a3879-4d27-46b4-a405-309d4ed984b2 · outbound

This paper cites Deep learning-based quantifications of methane emissions with field applications.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Deep learning-based quantifications of methane emissions with field applications

Reference 7

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Observation 5732ead0-e51b-4e02-b36d-92a293bc2732 · outbound

This paper cites Local-to-Global Self-Attention in Vision Transformers.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Local-to-Global Self-Attention in Vision Transformers

Reference 8

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Observation ad212547-1e6a-498e-883f-8e840ad0309d · outbound

This paper cites Expediting large-scale vision transformer for dense predic- tion without fine-tuning.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Expediting large-scale vision transformer for dense predic- tion without fine-tuning

Reference 9

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Observation a4ad6fbd-0efc-4e7f-bac3-aab75f4871be · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Swin transformer: Hierarchical vision transformer using shifted windows

Reference 10

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Observation 4362d141-8dd4-4857-aeed-4b741eb0f2f9 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Fully convolutional networks for semantic segmentation

Reference 11

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Observation 88f0311f-e2c1-486c-b94a-bcab90bf99ea · outbound

This paper cites Institutional animal care and use committee guidebook.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Institutional animal care and use committee guidebook

Reference 12

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Observation 478bf8e5-3f1a-4405-9c8a-81bb50c18119 · outbound

This paper cites Advancements in real-time monitoring of en- teric methane emissions from ruminants.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Advancements in real-time monitoring of en- teric methane emissions from ruminants

Reference 13

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Observation c6d7411c-8047-4c08-8874-115397db26c8 · outbound

This paper cites Cli- mate change 2014: synthesis report.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Cli- mate change 2014: synthesis report

Reference 14

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Observation f30722a4-3a5a-411b-8beb-b088a064590a · outbound

This paper cites Deep dual-resolution networks for real-time and accurate se- mantic segmentation of traffic scenes.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Deep dual-resolution networks for real-time and accurate se- mantic segmentation of traffic scenes

Reference 15

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Observation 4c01a50d-56f0-4602-adef-06d31fe20aca · outbound

This paper cites Fast-SCNN: Fast Semantic Segmentation Network.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Fast-SCNN: Fast Semantic Segmentation Network

Reference 16

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Observation 72404ee0-be47-410c-8d15-163e1628f056 · outbound

This paper cites Vi- sion transformers for dense prediction.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Vi- sion transformers for dense prediction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:15:23.372632Z

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Observation f5471878-234b-4e26-bc0b-9752a2c23d9e · outbound

This paper cites Automatic de- tection of methane emissions in multispectral satellite im- agery using a vision transformer.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Automatic de- tection of methane emissions in multispectral satellite im- agery using a vision transformer

Reference 18

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Observation 13b6d06c-7ebb-40a4-b7ed-5e903b50c2f9 · outbound

This paper cites Gasformer: A transformer-based architecture for segmenting methane emissions from livestock in optical gas imaging.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Gasformer: A transformer-based architecture for segmenting methane emissions from livestock in optical gas imaging

Reference 19

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Observation ff100d47-629a-4cf8-961c-00e3478406c2 · outbound

This paper cites Creating a sustainable food future: a menu of solutions to feed nearly 10 billion people by 2050-synthesis report.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Creating a sustainable food future: a menu of solutions to feed nearly 10 billion people by 2050-synthesis report

Reference 20

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Observation 78222bb2-011c-48ad-a8fe-2293fef440a7 · outbound

This paper cites Global methane assessment: Benefits and costs of mitigating methane emissions.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Global methane assessment: Benefits and costs of mitigating methane emissions

Reference 21

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Observation 55bfa204-2f52-495b-9212-1a5756dc2da6 · outbound

This paper cites Quantification of methane emitted by ruminants: a review of methods.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Quantification of methane emitted by ruminants: a review of methods

Reference 22

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Observation 2a7032e7-d6b2-4e87-aab5-28bb1312d7f3 · outbound

This paper cites FLIR G-Series: Gx320, G620, Gx620 Op- tical Gas Imaging (OGI) Cameras for Hydrocarbons.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging FLIR G-Series: Gx320, G620, Gx620 Op- tical Gas Imaging (OGI) Cameras for Hydrocarbons

Reference 23

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Observation 2610cd15-e810-461d-aaff-8ec1413d82b3 · outbound

This paper cites Repvit: Revisiting mobile cnn from vit perspective.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Repvit: Revisiting mobile cnn from vit perspective

Reference 24

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Observation 860223d0-c0c6-45c4-a9b3-80ca488ffb49 · outbound

This paper cites Machine vision for natural gas methane emissions detection using an infrared camera.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Machine vision for natural gas methane emissions detection using an infrared camera

Reference 25

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Observation 19a48e6f-c70f-43e1-b909-1c28bea68ee5 · outbound

This paper cites Videogasnet: Deep learning for natural gas methane leak classification using an infrared camera.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Videogasnet: Deep learning for natural gas methane leak classification using an infrared camera

Reference 26

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Observation 54570f75-17bb-4e95-b29e-d955cadbe92a · outbound

This paper cites Large- scale controlled experiment demonstrates effectiveness of methane leak detection and repair programs at oil and gas fa- cilities.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Large- scale controlled experiment demonstrates effectiveness of methane leak detection and repair programs at oil and gas fa- cilities

Reference 27

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Observation ce2d66a6-b4ad-4239-9fc0-7c6b24cd7089 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 28

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This paper cites Unified perceptual parsing for scene understand- ing.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Unified perceptual parsing for scene understand- ing

Reference 29

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Observation 214acab5-3130-423a-9b24-969b7c898874 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transform- ers.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Segformer: Simple and efficient design for semantic segmentation with transform- ers

Reference 30

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Observation b461d4d2-13d3-487f-b120-1c369f2029a7 · outbound

This paper cites Transformer-based attention networks for continuous pixel-wise prediction.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Transformer-based attention networks for continuous pixel-wise prediction

Reference 31

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Observation 4b04c8c6-7539-46fb-ae48-1f09d90fafd8 · outbound

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

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Bisenet: Bilateral segmentation network for real-time semantic segmentation

Reference 32

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Observation d4d49678-6f56-4f9b-80b5-86fe443b5e97 · outbound

This paper cites Bisenet v2: Bilateral net- work with guided aggregation for real-time semantic seg- mentation.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Bisenet v2: Bilateral net- work with guided aggregation for real-time semantic seg- mentation

Reference 33

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Observation 16b72177-e434-4dd3-9ca2-c189a85a7bc6 · outbound

This paper cites Icnet for real-time semantic segmenta- tion on high-resolution images.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Icnet for real-time semantic segmenta- tion on high-resolution images

Reference 34

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Source-reported events for the cited work

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Observation 0e5cecb1-0c79-4215-894e-d4d26fb69b6b · outbound

This paper cites iFormer: Integrating ConvNet and Transformer for Mobile Application.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging iFormer: Integrating ConvNet and Transformer for Mobile Application

Reference 35

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Observation 12d6e1b8-61be-4618-83cc-0b8748f0e73b · outbound

This paper cites High-accuracy combustible gas cloud imaging system using yolo-plume classification net- work.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging High-accuracy combustible gas cloud imaging system using yolo-plume classification net- work

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:15:20.464756Z

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Observation 1ef9047e-0549-463e-a494-4692dd7e9a14 · outbound

This paper cites Asymmetric non-local neural networks for semantic segmentation.

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging Asymmetric non-local neural networks for semantic segmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:15:20.267491Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

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