Paper Citation Record · LEDGER

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 5 inbound Pith citation observations for arXiv:2509.04682.

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pith.paper-citation-record.v1
2509.04682 v2

Coverage vector

measured 41 of 41 reference resolution

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measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

Source: pith, observed 2026-07-10T15:47:23.195454Z

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation 110b7fab-d41a-40b4-b556-47a73f41c7e1 · outbound

This paper cites Identifying the world’s most climate change vulnerable species: A systematic trait-based assessment of all birds, amphibians and corals,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Identifying the world’s most climate change vulnerable species: A systematic trait-based assessment of all birds, amphibians and corals,

Reference 1

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Observation 87d88d9f-750f-46d9-b833-63d27a8d2909 · outbound

This paper cites A vulnerability assessment of fish and invertebrates to climate change on the northeast u.s. continental shelf,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring A vulnerability assessment of fish and invertebrates to climate change on the northeast u.s. continental shelf,

Reference 2

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Observation 11bc3f6d-47b4-49f4-836b-90fd555ebce3 · outbound

This paper cites Shaped by their environment: 11 Variation in blue whale morphology across three productive coastal ecosystems,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Shaped by their environment: 11 Variation in blue whale morphology across three productive coastal ecosystems,

Reference 3

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Observation aa680bd6-f37e-47a4-9fc1-3e02e23166b8 · outbound

This paper cites An open access dataset for developing automated detectors of antarctic baleen whale sounds and performance evaluation of two commonly used detectors,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring An open access dataset for developing automated detectors of antarctic baleen whale sounds and performance evaluation of two commonly used detectors,

Reference 4

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Observation 7c03870a-d8ce-4c1f-9ad4-39c53d53a2d3 · outbound

This paper cites Seeing biodiversity: perspectives in machine learning for wildlife conservation,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Seeing biodiversity: perspectives in machine learning for wildlife conservation,

Reference 5

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Observation f8105904-ee33-448c-9676-4e219af92bcc · outbound

This paper cites Ecoacoustic indices in marine ecosystems: a review on recent developments, challenges, and future directions,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Ecoacoustic indices in marine ecosystems: a review on recent developments, challenges, and future directions,

Reference 6

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Observation 7b5f8094-33a2-4c22-b3ac-10b83a157388 · outbound

This paper cites Calls reveal population structure of blue whales across the southeast indian ocean and the southwest pacific ocean,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Calls reveal population structure of blue whales across the southeast indian ocean and the southwest pacific ocean,

Reference 7

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Observation fc8d7646-8618-4f7b-a9ff-6b19e544c1ff · outbound

This paper cites Sounding the call for a global library of underwater biological sounds,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Sounding the call for a global library of underwater biological sounds,

Reference 8

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Observation a466ccf2-bfb4-4515-a125-04e3ab4560e5 · outbound

This paper cites The past, present, and future of underwater passive acoustic monitoring,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring The past, present, and future of underwater passive acoustic monitoring,

Reference 9

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Observation 22105b1f-ce24-4be5-9c22-deae031ac3b7 · outbound

This paper cites Deep learning algorithm outperforms experienced human observer at detection of blue whale d-calls: A double-observer analysis,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Deep learning algorithm outperforms experienced human observer at detection of blue whale d-calls: A double-observer analysis,

Reference 10

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Observation 5d61bd40-2d7d-468b-ac96-bab32e0da75d · outbound

This paper cites Rapid assessment of vessel noise events and quiet periods in glacier bay national park and preserve using a convolutional neural net,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Rapid assessment of vessel noise events and quiet periods in glacier bay national park and preserve using a convolutional neural net,

Reference 11

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Observation 8aeb3c09-d53a-42ca-8007-8436d1fb5d64 · outbound

This paper cites Deep learning in marine bioacoustics: a benchmark for baleen whale detection,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Deep learning in marine bioacoustics: a benchmark for baleen whale detection,

Reference 12

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Observation b807acd7-1231-4329-8bcd-b4e21c42035f · outbound

This paper cites Deepwhalenet: Climate change-aware fft-based deep neural network for passive acoustic monitoring,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Deepwhalenet: Climate change-aware fft-based deep neural network for passive acoustic monitoring,

Reference 13

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Observation 8eb7599c-69f6-4063-a680-d9786d4c8c44 · outbound

This paper cites Cross-validation strategies for data with tem- poral, spatial, hierarchical, or phylogenetic structure,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Cross-validation strategies for data with tem- poral, spatial, hierarchical, or phylogenetic structure,

Reference 14

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Observation c3287dc2-ae1e-466e-9b4d-6e8ace1098a5 · outbound

This paper cites Attention based convolutional neural network with multi- frequency resolution feature for environment sound classification,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Attention based convolutional neural network with multi- frequency resolution feature for environment sound classification,

Reference 15

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Observation 978ecb54-6007-436b-b7f1-f2156b7581b9 · outbound

This paper cites A robust method to automatically detect fin whale acoustic presence in large and diverse passive acoustic datasets,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring A robust method to automatically detect fin whale acoustic presence in large and diverse passive acoustic datasets,

Reference 16

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Observation 523f73c7-58e3-4557-8708-b3a5b9b467a3 · outbound

This paper cites Variability in the performance of the spectrogram correlation detector for north-east pacific blue whale calls,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Variability in the performance of the spectrogram correlation detector for north-east pacific blue whale calls,

Reference 17

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Observation 22e1b3f2-46a1-4d39-a944-ce2f39341ca8 · outbound

This paper cites Vocalisations of antarctic blue whales, balaenoptera musculus intermedia, recorded during the 2001/2002 and 2002/2003 iwc/sower circumpolar cruises, area v, antarctica,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Vocalisations of antarctic blue whales, balaenoptera musculus intermedia, recorded during the 2001/2002 and 2002/2003 iwc/sower circumpolar cruises, area v, antarctica,

Reference 18

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Observation d33d3d02-5299-4cb3-b3e3-e0b30e554eab · outbound

This paper cites Automatic detection and clas- sification of baleen whale social calls using convolutional neural networks,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Automatic detection and clas- sification of baleen whale social calls using convolutional neural networks,

Reference 19

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Observation 419ddf99-e9c6-48c4-91ed-16d1c7bcdcd6 · outbound

This paper cites Wavelet-based feature extraction with hidden markov model classification of antarctic blue whale sounds,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Wavelet-based feature extraction with hidden markov model classification of antarctic blue whale sounds,

Reference 20

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Observation 0ad663f1-b392-4767-802a-10a5059baca8 · outbound

This paper cites CBAM: Convolutional Block Attention Module.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring CBAM: Convolutional Block Attention Module

Reference 21

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Observation 31d0c10a-adb6-4c30-85ff-94172c1cbd81 · outbound

This paper cites Consistent cross-validatory model-selection for de- pendent data: hv-block cross-validation,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Consistent cross-validatory model-selection for de- pendent data: hv-block cross-validation,

Reference 22

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Observation 8044a0b2-ee10-4d91-bd83-7498865cbffb · outbound

This paper cites blockcv: An r package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring blockcv: An r package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models,

Reference 23

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Observation 11b9e6dc-06da-470a-b64f-0e2c06654663 · outbound

This paper cites Ethical considerations and unanticipated consequences associated with ecological forecasting for marine resources,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Ethical considerations and unanticipated consequences associated with ecological forecasting for marine resources,

Reference 24

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Observation 41d7910d-a3f5-4477-a334-e95e6b190875 · outbound

This paper cites Ethical ecosurveillance: Mitigating the potential impacts on humans of widespread environmental monitoring,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Ethical ecosurveillance: Mitigating the potential impacts on humans of widespread environmental monitoring,

Reference 25

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This paper cites Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data,

Reference 26

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Observation 7fde5760-df17-43c4-bb27-ac072b614c0a · outbound

This paper cites The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets,

Reference 27

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This paper cites A comparative analysis of windowing approaches in dense sensing environments,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring A comparative analysis of windowing approaches in dense sensing environments,

Reference 28

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Observation f6f5c038-93b5-4332-a147-7ab62c639f91 · outbound

This paper cites A unified approach to time–frequency representations and generalized spectrograms,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring A unified approach to time–frequency representations and generalized spectrograms,

Reference 29

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Observation 836d0663-5f23-417a-88e8-c8fbfcb19f67 · outbound

This paper cites Activation functions in deep learning: A comprehensive survey and benchmark,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Activation functions in deep learning: A comprehensive survey and benchmark,

Reference 30

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Observation 9115e33d-a607-40a2-a027-190297c27624 · outbound

This paper cites Image lightness rescaling using sigmoidal contrast enhancement functions,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Image lightness rescaling using sigmoidal contrast enhancement functions,

Reference 31

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Observation b9ac17b5-e959-4214-b041-25ab0b9a50ff · outbound

This paper cites Learning deep features for discriminative localization,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Learning deep features for discriminative localization,

Reference 32

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This paper cites Deepening into the suitability of using pre- trained models of imagenet against a lightweight convolutional neural network in medical imaging: an experimental study,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Deepening into the suitability of using pre- trained models of imagenet against a lightweight convolutional neural network in medical imaging: an experimental study,

Reference 33

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Observation 34fec224-0331-4625-9527-11feedd5b8ef · outbound

This paper cites Comparison of pre-trained cnns for audio classification using transfer learning,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Comparison of pre-trained cnns for audio classification using transfer learning,

Reference 34

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Observation 96b9f6f9-f0e5-4002-94b9-ad495e99e2ec · outbound

This paper cites Adam: A Method for Stochastic Optimization.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Adam: A Method for Stochastic Optimization

Reference 35

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Observation c6ed97ef-e0f3-4cda-a312-958401544357 · outbound

This paper cites Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics,

Reference 36

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Observation d693b325-ae14-46a1-85a1-e4eb26e69536 · outbound

This paper cites On the overlap between grad-cam saliency maps and explainable visual features in skin cancer images,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring On the overlap between grad-cam saliency maps and explainable visual features in skin cancer images,

Reference 37

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Observation 5314a5a9-d2a5-43d9-894a-bd6583e725cf · outbound

This paper cites Ai assistance for grammar, structural edit- 12 ing, results extrapolation, and figure preparation with human oversight,.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Ai assistance for grammar, structural edit- 12 ing, results extrapolation, and figure preparation with human oversight,

Reference 38

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Observation 6d2c92c9-0f95-456f-97ae-12ede88b76c6 · outbound

This paper cites Available: https://pmc.ncbi.nlm.nih.gov/articles/ PMC9589621/.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Available: https://pmc.ncbi.nlm.nih.gov/articles/ PMC9589621/

Reference 2022

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Observation 5b9aabde-5bd8-4d15-ac2b-277997f62b7f · outbound

This paper cites Available: https://doi.org/10.1093/iob/obad039.

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring Available: https://doi.org/10.1093/iob/obad039

Reference 2023

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Observation d3c3bd70-316a-4017-a726-fd58c929ab0c · outbound

This paper cites Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics.

Reference 2024

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Pith citing papers

Observation e8dda0d5-8b71-405d-9945-27c5bbb95d58 · inbound

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection cites this paper.

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring

Reference 47

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Observation 6a2da38f-6c8b-4e56-a8f3-15efb1d79841 · inbound

Explainable Novel Category Discovery in Semantic Concept Space cites this paper.

Explainable Novel Category Discovery in Semantic Concept Space GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring

Reference 16

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Observation 44002a84-b16f-4c4b-b3a4-c475c6d416dc · inbound

Mechanistic Interpretability of LLM Jailbreaks via Internal Attribution Graphs cites this paper.

Mechanistic Interpretability of LLM Jailbreaks via Internal Attribution Graphs GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-10T15:47:23.196757Z

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 70b6b7c6-f7e1-4e7a-84c8-457d29588b7a · inbound

Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks cites this paper.

Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T12:21:52.450636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb2d243-fe70-4e43-9158-7b3e6fd6f25b · inbound

Grad-CAM for Vision Transformers: A Systematic Taxonomy and Audit of Methodological Ambiguity in Explainable AI cites this paper.

Grad-CAM for Vision Transformers: A Systematic Taxonomy and Audit of Methodological Ambiguity in Explainable AI GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T16:59:10.656692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.