Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms | Paper Citation Record

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Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

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Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

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Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

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This paper cites This approach is particularly useful for small sample sizes and unknown or non-normal underlying distributions.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms This approach is particularly useful for small sample sizes and unknown or non-normal underlying distributions

Reference 4

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Observation 86f1129f-3b18-4939-81a4-688ebbe9fd16 · outbound

This paper cites The sample mean ¯xserves as an unbiased estimator ofµ, as its mean isµ.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms The sample mean ¯xserves as an unbiased estimator ofµ, as its mean isµ

Reference 5

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Observation 67f6b2c5-1cdf-4d3f-bbed-f08f29430ee4 · outbound

This paper cites (n−1)s 2 χ2 1−α/2 , (n−1)s 2 χ2 α/2 # .(C10) If a CI for the population standard deviationσis desired instead, it can be obtained by taking the square root of the bounds:.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms (n−1)s 2 χ2 1−α/2 , (n−1)s 2 χ2 α/2 # .(C10) If a CI for the population standard deviationσis desired instead, it can be obtained by taking the square root of the bounds:

Reference 6

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Observation 2f35ad8c-ef8e-43a8-95d3-5088f3fc13d4 · outbound

This paper cites Klimenko, G.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Klimenko, G

Reference 7

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Observation 4c587f8b-29c9-4ae6-b7fa-1cdb5afb8d5c · outbound

This paper cites This assumption is critical for the validity of parametric procedures, such as CI estimation using thet- distribution or chi-square distribution.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms This assumption is critical for the validity of parametric procedures, such as CI estimation using thet- distribution or chi-square distribution

Reference 8

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Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

Reference 9

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Observation 65683d15-5c50-4aae-82e5-3a43bcb72e00 · outbound

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Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

Reference 10

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Observation 9889308d-ac94-4519-b879-e5191b3ed5c0 · outbound

This paper cites Optimized Search for a Binary Black Hole Merger Population in LIGO-Virgo O3 Data.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Optimized Search for a Binary Black Hole Merger Population in LIGO-Virgo O3 Data

Reference 11

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This paper cites The MBTA Pipeline for Detecting Compact Binary Coalescences in the Third LIGO-Virgo Observing Run.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms The MBTA Pipeline for Detecting Compact Binary Coalescences in the Third LIGO-Virgo Observing Run

Reference 12

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Observation 79dff53d-9db9-4190-bdae-77164103082c · outbound

This paper cites Messick, K.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Messick, K

Reference 13

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Observation 71c10bc8-3dcb-4c5d-8d00-71cb055ffcf1 · outbound

This paper cites Cannon, R.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Cannon, R

Reference 14

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Observation 4c23a14a-a57e-4bc3-b137-2dc712c36306 · outbound

This paper cites Akutsu et al., Overview of KAGRA: Detector design and construction history, Progress of Theoretical and Ex- perimental Physics2021, 10.1093/ptep/ptaa125 (2020), 05A101.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Akutsu et al., Overview of KAGRA: Detector design and construction history, Progress of Theoretical and Ex- perimental Physics2021, 10.1093/ptep/ptaa125 (2020), 05A101

Reference 15

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Observation c6b04b30-d38e-4c00-9938-f0708bc101d9 · outbound

This paper cites Drago, S.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Drago, S

Reference 16

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Observation d2247e08-4a08-4dd0-a97c-c29ebb303505 · outbound

This paper cites Klimenko, G.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Klimenko, G

Reference 17

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Observation b9e94580-c684-4bc6-b956-b5d01516712f · outbound

This paper cites Cuoco et al., Enhancing gravitational-wave science with machine learning, Machine Learning: Science and Technol- ogy2, 011002 (2020).

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Cuoco et al., Enhancing gravitational-wave science with machine learning, Machine Learning: Science and Technol- ogy2, 011002 (2020)

Reference 18

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Observation 60937361-1bd2-44b2-947c-8df7e9086c0d · outbound

This paper cites Benedetto, F.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Benedetto, F

Reference 19

Resolution: verified exact; doi, observed 2026-08-05T05:30:31.620888Z

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Observation 08cf2632-4930-4437-8914-64b087bf9874 · outbound

This paper cites Dawning of a New Era in Gravitational Wave Data Analysis: Unveiling Cosmic Mysteries via Artificial Intelligence -- A Systematic Review.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Dawning of a New Era in Gravitational Wave Data Analysis: Unveiling Cosmic Mysteries via Artificial Intelligence -- A Systematic Review

Reference 20

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Observation 7bfda9a6-ca10-47df-b301-8f6d493e0e1d · outbound

This paper cites Advanced LIGO.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Advanced LIGO

Reference 21

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This paper cites Acernese et al.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Acernese et al

Reference 22

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Observation a2cc1eb4-b7f0-441c-a20f-4e6e3018c75f · outbound

This paper cites Skliris, M.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Skliris, M

Reference 23

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Observation cb40c39d-9278-42fe-a781-6edec0953d07 · outbound

This paper cites Gabbard, M.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Gabbard, M

Reference 24

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Observation 9be817b7-2222-432f-8118-1ccf785658b0 · outbound

This paper cites George and E.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms George and E

Reference 25

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This paper cites Convolutional neural networks: a magic bullet for gravitational-wave detection?.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Convolutional neural networks: a magic bullet for gravitational-wave detection?

Reference 26

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This paper cites Corizzo, M.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Corizzo, M

Reference 27

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This paper cites an unresolved cited work.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

Reference 28

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Observation cfeb0d8f-eb47-4054-b5a2-283724c06f31 · outbound

This paper cites Gravitational wave signal recognition of O1 data by deep learning.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Gravitational wave signal recognition of O1 data by deep learning

Reference 29

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Observation e840e123-715a-4950-8853-2862c0865b25 · outbound

This paper cites Real-Time Detection of Gravitational Waves from Binary Neutron Stars using Artificial Neural Networks.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Real-Time Detection of Gravitational Waves from Binary Neutron Stars using Artificial Neural Networks

Reference 30

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This paper cites Chaturvedi, A.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Chaturvedi, A

Reference 31

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Observation 04ec7c28-1359-471e-865e-b43ea3008bb0 · outbound

This paper cites Detection of Gravitational Waves Using Bayesian Neural Networks.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Detection of Gravitational Waves Using Bayesian Neural Networks

Reference 32

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Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

Reference 33

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Observation 38271759-f7d7-474e-a1f6-5009be9eda03 · outbound

This paper cites Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection

Reference 34

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This paper cites A semi-supervised Machine Learning search for never-seen Gravitational-Wave sources.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms A semi-supervised Machine Learning search for never-seen Gravitational-Wave sources

Reference 35

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Observation f0f906f7-f922-466b-bab7-7e9f4021dba6 · outbound

This paper cites Deep Learning Ensemble for Real-time Gravitational Wave Detection of Spinning Binary Black Hole Mergers.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Deep Learning Ensemble for Real-time Gravitational Wave Detection of Spinning Binary Black Hole Mergers

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Observation e80a6d81-fe8d-43ae-ac96-ab5bddbe6d40 · outbound

This paper cites Exploring gravitational-wave detection and parameter inference using Deep Learning methods.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Exploring gravitational-wave detection and parameter inference using Deep Learning methods

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:33.039733Z

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Observation 0f9aae9b-e2b6-4f8d-8b41-a69ff3e31cbd · outbound

This paper cites Improving significance of binary black hole mergers in Advanced LIGO data using deep learning : Confirmation of GW151216.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Improving significance of binary black hole mergers in Advanced LIGO data using deep learning : Confirmation of GW151216

Reference 38

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Observation 3fc754f8-2a19-4662-98ad-14603ea83c0b · outbound

This paper cites Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.753998Z

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Observation 30e1b261-2190-4c83-903b-83b94ce35b54 · outbound

This paper cites SiGMa-Net: Deep learning network to distinguish binary black hole signals from short-duration noise transients.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms SiGMa-Net: Deep learning network to distinguish binary black hole signals from short-duration noise transients

Reference 40

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Observation e128d6d5-4957-4834-b287-72ee80ec9743 · outbound

This paper cites an unresolved cited work.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

Reference 41

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Observation 7bf684c7-ddcf-44a0-96f6-d9faaea2539d · outbound

This paper cites A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.832258Z

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Observation cbfc26bb-747a-4f15-82eb-487547c6ec2f · outbound

This paper cites an unresolved cited work.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:30:33.608823Z

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Observation c7c07aaa-d396-4c26-9508-23f3e1c61ff8 · outbound

This paper cites Baltus, J.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Baltus, J

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:33.591085Z

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Observation 76a85e4a-6f74-4071-8b0e-140c165bc056 · outbound

This paper cites DeepSNR: A deep learning foundation for offline gravitational wave detection.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms DeepSNR: A deep learning foundation for offline gravitational wave detection

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.805050Z

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Observation c29c1b16-0979-4dc1-8fb4-b2bb99ccca54 · outbound

This paper cites Detection of Gravitational Wave Signals from Precessing Binary Black Hole Systems using Convolutional Neural Network.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Detection of Gravitational Wave Signals from Precessing Binary Black Hole Systems using Convolutional Neural Network

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.779540Z

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Observation 96961359-67f5-4060-88d4-ff9311b9e94a · outbound

This paper cites Detecting and Denoising Gravitational Wave Signals from Binary Black Holes using Deep Learning.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Detecting and Denoising Gravitational Wave Signals from Binary Black Holes using Deep Learning

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.542664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 555bd842-4940-407d-aabb-a476bbe22379 · outbound

This paper cites Mimicking Mergers: Mistaking Black Hole Captures as Mergers.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Mimicking Mergers: Mistaking Black Hole Captures as Mergers

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.241596Z

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Observation a36cb650-90c8-41c9-bc37-3e2c664566cd · outbound

This paper cites Searches for Mass-Asymmetric Compact Binary Coalescence Events using Neural Networks in the LIGO/Virgo Third Observation Period.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Searches for Mass-Asymmetric Compact Binary Coalescence Events using Neural Networks in the LIGO/Virgo Third Observation Period

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.248042Z

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Observation 3013b242-6a11-41a8-b78b-4fc4807e6c44 · outbound

This paper cites Detection of Einstein Telescope gravitational wave signals from binary black holes using deep learning.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Detection of Einstein Telescope gravitational wave signals from binary black holes using deep learning

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.687178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1b734e49-3730-4bdd-aa9f-53e47239fd51 · outbound

This paper cites Normalizing flows as an avenue to study overlapping gravitational wave signals.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Normalizing flows as an avenue to study overlapping gravitational wave signals

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.259692Z

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Observation 27b534e9-7763-4fde-b370-15634c8c4db0 · outbound

This paper cites Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.265018Z

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Observation 806d4d3d-9fe6-4a96-a4da-2b6558ebf560 · outbound

This paper cites An autoencoder neural network integrated into gravitational-wave burst searches to improve the rejection of noise transients.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms An autoencoder neural network integrated into gravitational-wave burst searches to improve the rejection of noise transients

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.613143Z

Source-reported events for the cited work

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Observation c02c3283-bd4f-4f47-bee2-50e7967a5904 · outbound

This paper cites Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.574290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7426ff05-4f30-4fa0-bc88-6198a6a2202e · outbound

This paper cites Deep learning for intermittent gravitational wave signals.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Deep learning for intermittent gravitational wave signals

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.333930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc524444-7240-4d93-b28e-e513cd963a83 · outbound

This paper cites Denoising gravitational-wave signals from binary black holes with dilated convolutional autoencoder.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Denoising gravitational-wave signals from binary black holes with dilated convolutional autoencoder

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.508160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c4cc5ede-7c19-4972-8177-9d3ad4965c94 · outbound

This paper cites Rapid Mass Parameter Estimation of Binary Black Hole Coalescences Using Deep Learning.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Rapid Mass Parameter Estimation of Binary Black Hole Coalescences Using Deep Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.301381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a47a8ca3-a457-4819-8f28-1969c0e2d4a6 · outbound

This paper cites Deep Learning Detection and Classification of Gravitational Waves from Neutron Star-Black Hole Mergers.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Deep Learning Detection and Classification of Gravitational Waves from Neutron Star-Black Hole Mergers

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.453824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation caf63118-1c10-41da-a5fa-5464e535018c · outbound

This paper cites Self-supervised learning for gravitational wave signal identification.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Self-supervised learning for gravitational wave signal identification

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.317766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 780f36db-7cd1-4414-b4e5-e2f3f4233dfc · outbound

This paper cites Rapid identification of time-frequency domain gravitational wave signals from binary black holes using deep learning.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Rapid identification of time-frequency domain gravitational wave signals from binary black holes using deep learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.333922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74e3d969-6df8-4138-8a57-ac9f1c94337e · outbound

This paper cites Convolutional Neural Networks for the classification of glitches in gravitational-wave data streams.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Convolutional Neural Networks for the classification of glitches in gravitational-wave data streams

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.340824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b9c5c95-8536-423a-a4a5-a97808f541f0 · outbound

This paper cites Comparison of neural network architectures for feature extraction from binary black hole merger waveforms.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Comparison of neural network architectures for feature extraction from binary black hole merger waveforms

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.349098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 585b3c67-c22f-46bd-b7e9-615ae0b56fa3 · outbound

This paper cites an unresolved cited work.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:30:33.551343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cdcec253-bd1a-40be-b9fb-6a6cc4aa1bf6 · outbound

This paper cites Novel Deep Learning Approach to Detecting Binary Black Hole Mergers.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Novel Deep Learning Approach to Detecting Binary Black Hole Mergers

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.301458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b15487af-2dd2-425f-adba-927ab77cf664 · outbound

This paper cites Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.271413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67955c9c-46d3-4405-a308-a3dc83219305 · outbound

This paper cites an unresolved cited work.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:30:33.571476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c5f262d-e7fd-4713-8570-cf9a0d5dd3fa · outbound

This paper cites A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.385331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 052c0af0-5d0f-42d1-89b7-75a1ff061941 · outbound

This paper cites Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.209234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ab931a57-fc4a-4e36-a9ac-333d32e2751d · outbound

This paper cites an unresolved cited work.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:30.884194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 871ee5f9-8cd7-4e38-9c86-6bd7437d7cc5 · outbound

This paper cites Convolutional Neural Networks for signal detection in real LIGO data.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Convolutional Neural Networks for signal detection in real LIGO data

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.173634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 85385465-0d79-42d1-aa27-ae9b2da1215c · outbound

This paper cites Neural network time-series classifiers for gravitational-wave searches in single-detector periods.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Neural network time-series classifiers for gravitational-wave searches in single-detector periods

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:32.138303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fd61ca4f-7023-416a-9b48-6acfc2e97eaa · outbound

This paper cites The Science Case for LIGO-India.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms The Science Case for LIGO-India

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.427064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27c56ae8-e92f-4de2-b51d-511fc0adc79a · outbound

This paper cites A Cryogenic Silicon Interferometer for Gravitational-wave Detection.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms A Cryogenic Silicon Interferometer for Gravitational-wave Detection

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.437398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e396a70a-42b3-44f7-910b-4255008fe7df · outbound

This paper cites Cosmic Explorer: The U.S. Contribution to Gravitational-Wave Astronomy beyond LIGO.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Cosmic Explorer: The U.S. Contribution to Gravitational-Wave Astronomy beyond LIGO

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.444740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ed20d5-3340-408c-876a-32fdc5352257 · outbound

This paper cites Science Case for the Einstein Telescope.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Science Case for the Einstein Telescope

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.452944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32cd1ce-6902-45bc-8346-e871358fff4d · outbound

This paper cites Ackley et al., Neutron Star Extreme Matter Observa- tory: A kilohertz-band gravitational-wave detector in the global network, Publ.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Ackley et al., Neutron Star Extreme Matter Observa- tory: A kilohertz-band gravitational-wave detector in the global network, Publ

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.458923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708a5088-1df8-4c44-9259-6acf7e33c43f · outbound

This paper cites MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.465278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7461d69e-fe8c-4b54-bb12-a422f521c197 · outbound

This paper cites Abbott et al.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Abbott et al

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:33.526329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c41c31a8-f60e-4217-8bfd-6db4459c1a15 · outbound

This paper cites GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.478508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03af4b0c-b143-4579-9606-44ab8f355ec4 · outbound

This paper cites New binary black hole mergers in the LIGO--Virgo O3a data.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms New binary black hole mergers in the LIGO--Virgo O3a data

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.486120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cf051f4-c3c8-4e81-b10b-ea347ee2cebb · outbound

This paper cites New black hole mergers in the LIGO-Virgo O3 data from a gravitational wave search including higher-order harmonics.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms New black hole mergers in the LIGO-Virgo O3 data from a gravitational wave search including higher-order harmonics

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.493351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1023ed55-bb7a-43fb-af61-d67d513e052c · outbound

This paper cites 3-OGC: Catalog of gravitational waves from compact-binary mergers.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms 3-OGC: Catalog of gravitational waves from compact-binary mergers

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.498699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf9574a-39f5-4464-a57e-f153efe55c9f · outbound

This paper cites 4-OGC: Catalog of gravitational waves from compact-binary mergers.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms 4-OGC: Catalog of gravitational waves from compact-binary mergers

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.505816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ea9c11-08c5-4d9c-a8d1-448b0cbb3974 · outbound

This paper cites Deep Residual Networks for Gravitational Wave Detection.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Deep Residual Networks for Gravitational Wave Detection

Reference 84

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:30:31.785887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 98ec2446-0e97-4056-b95e-dda7d52ad56a · outbound

This paper cites Nagarajan and C.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Nagarajan and C

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.521017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee96bad-f80a-4317-a5d3-3878b0178091 · outbound

This paper cites ResNet strikes back: An improved training procedure in timm.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms ResNet strikes back: An improved training procedure in timm

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.528131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06566f5e-31d0-4ec7-bb3f-1c460321e4ef · outbound

This paper cites Passalis, A.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Passalis, A

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:33.502027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d36d9db7-4d3c-4141-b131-fa3037c86100 · outbound

This paper cites Pratten et al., Computationally efficient models for the dominant and subdominant harmonic modes of precessing binary black holes, Phys.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Pratten et al., Computationally efficient models for the dominant and subdominant harmonic modes of precessing binary black holes, Phys

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:30:33.480015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9506e1b2-363e-4673-b3b1-0c8137e2052f · outbound

This paper cites an unresolved cited work.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:30:33.458639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1eb49fb2-c5bd-4e0a-badb-3ec7914f899c · outbound

This paper cites an unresolved cited work.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:30:33.441037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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