Paper Citation Record · LEDGER

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.20956.

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

pith.paper-citation-record.v1
2505.20956 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:48:02.562648Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact3
verified fuzzy24
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc99ebe1-3e45-4403-ae23-1706b90a55ab · outbound

This paper cites Robust sound event detection in bioacoustic sensor networks,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Robust sound event detection in bioacoustic sensor networks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:09.154047Z

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 a858a2e6-c71f-4323-acd2-c27f3e8c4091 · outbound

This paper cites Computational bioacoustics with deep learning: a review and roadmap,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Computational bioacoustics with deep learning: a review and roadmap,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:08.976369Z

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 39977bdf-468f-47c0-bc14-95b70fbbdd64 · outbound

This paper cites Deep machine learning techniques for the detection and classification of sperm whale bioacoustics,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Deep machine learning techniques for the detection and classification of sperm whale bioacoustics,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:08.775830Z

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 ebb316b5-e616-400a-a110-35c11a5d9f5c · outbound

This paper cites BirdNET: A deep learning solution for avian diversity monitoring,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection BirdNET: A deep learning solution for avian diversity monitoring,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:59.764768Z

Source-reported events for the cited work

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Observation 252b0ec4-56c8-4506-8db4-b7f29c3a4af6 · outbound

This paper cites Bioacoustic event detection with self-supervised contrastive learning,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Bioacoustic event detection with self-supervised contrastive learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:59.918859Z

Source-reported events for the cited work

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Observation a6023612-2cbc-4d52-b969-2ff34798145e · outbound

This paper cites animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:59.978883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 800646a0-8a19-493c-a6f2-e64af867c9e7 · outbound

This paper cites Multispecies bioacoustic classification using transfer learning of deep convolutional neural networks with pseudo- labeling,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Multispecies bioacoustic classification using transfer learning of deep convolutional neural networks with pseudo- labeling,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:08.530069Z

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 f53a9db9-7e57-4dee-a30a-1a4571ebe10c · outbound

This paper cites Transformer- based bioacoustic sound event detection on few-shot learning tasks,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Transformer- based bioacoustic sound event detection on few-shot learning tasks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:08.320019Z

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 85f67ca1-a260-4a90-841d-07742d22c304 · outbound

This paper cites Regularized Contrastive Pre- training for Few-shot Bioacoustic Sound Detection,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Regularized Contrastive Pre- training for Few-shot Bioacoustic Sound Detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:08.103466Z

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 f9ad1f10-5545-435f-bd6f-47d8991b84c1 · outbound

This paper cites Active learning literature survey,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Active learning literature survey,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:07.850865Z

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 55e92349-c517-4784-86e8-3a7edcfc6ea0 · outbound

This paper cites Active learning for efficient audio annotation and classification with a large amount of unlabeled data,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Active learning for efficient audio annotation and classification with a large amount of unlabeled data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:07.638871Z

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 1c318c6d-45e7-47e1-8686-ad1072c57152 · outbound

This paper cites Active Learning for Sound Event Detection,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Active Learning for Sound Event Detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:07.359323Z

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 67f60922-5adf-4f3f-a0fa-70d30350fc80 · outbound

This paper cites Active learning for sound event classification by clustering unlabeled data,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Active learning for sound event classification by clustering unlabeled data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:07.142380Z

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 c6887fba-8e07-48e1-85eb-ba00a2bfdfee · outbound

This paper cites An improved computational bioacoustic monitoring approach for sparse features detection,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection An improved computational bioacoustic monitoring approach for sparse features detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:06.934767Z

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 8a3a9d8a-a99f-4214-9aee-5e869380eec6 · outbound

This paper cites an unresolved cited work.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:48:06.500351Z

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 b93f7704-91d2-4df0-9ddf-361c5f42e653 · outbound

This paper cites BirdV oxDetect: Large-scale detection and classification of flight calls for bird migration monitoring,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection BirdV oxDetect: Large-scale detection and classification of flight calls for bird migration monitoring,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:06.240473Z

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 289599ef-643c-4144-bc10-8931790a504f · outbound

This paper cites From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:06.049550Z

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 0f68c8ae-3c19-421f-9e08-a8b27680211e · outbound

This paper cites Active few-shot learning for rare bioacoustic feature annotation,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Active few-shot learning for rare bioacoustic feature annotation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:05.775475Z

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 582b00f0-7153-48eb-87d9-adff6ff7b8e2 · outbound

This paper cites Understanding Uncertainty Sampling via Equivalent Loss.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Understanding Uncertainty Sampling via Equivalent Loss

Reference 19

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Source-reported events for the cited work

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Observation f5502565-fb66-4c94-9f36-392090f6f665 · outbound

This paper cites Margin-based sampling in high dimensions: When being active is less efficient than staying passive,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Margin-based sampling in high dimensions: When being active is less efficient than staying passive,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:05.537165Z

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 17c8b682-19b6-442d-9ab8-aed7727ce6ca · outbound

This paper cites Active and Transfer Learn- ing for Efficient Identification of Species in Multi-Label Bioacoustic Datasets,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Active and Transfer Learn- ing for Efficient Identification of Species in Multi-Label Bioacoustic Datasets,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:05.278780Z

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 c30baf44-e3e6-4060-a4fa-3ae145aa1c97 · outbound

This paper cites Sample Noise Impact on Active Learning.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Sample Noise Impact on Active Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:48:03.261511Z

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 ac143652-610d-4283-bd90-c220b7a6680c · outbound

This paper cites A human-in-the-loop tool for annotating passive acoustic monitoring datasets,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection A human-in-the-loop tool for annotating passive acoustic monitoring datasets,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:05.074077Z

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 bf9af0bf-97f6-4694-a844-4fb230a448d7 · outbound

This paper cites enhancing wildlife acoustic data annotation efficiency through transfer and active learning,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection enhancing wildlife acoustic data annotation efficiency through transfer and active learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:04.881461Z

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 225a96c9-ecd9-4de3-ad41-c6314eb63bc5 · outbound

This paper cites Leveraging transfer learning and active learning for data annotation in passive acoustic monitoring of wildlife,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Leveraging transfer learning and active learning for data annotation in passive acoustic monitoring of wildlife,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:04.684351Z

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 d5bbb019-3eea-458e-a487-808d689cd41e · outbound

This paper cites Leveraging transfer learning and active learning for sound event detec- tion in passive acoustic monitoring of wildlife,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Leveraging transfer learning and active learning for sound event detec- tion in passive acoustic monitoring of wildlife,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:04.493385Z

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 f7ab6367-da75-4fbb-909b-3a5ac48e7e6f · outbound

This paper cites Deep Active Audio Feature Learning in Resource-Constrained Environments,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Deep Active Audio Feature Learning in Resource-Constrained Environments,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:04.252943Z

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 78a7c167-4f4a-4f24-92fd-55a3d4c5fbbc · outbound

This paper cites Towards Deep Active Learning in Avian Bioacoustics.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Towards Deep Active Learning in Avian Bioacoustics

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:48:03.067432Z

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 f53feab8-3214-4e4e-9049-91c1e9c9244e · outbound

This paper cites Theory of disagreement-based active learning,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Theory of disagreement-based active learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:03.958422Z

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 709c5c1e-49f1-4ae8-ad87-df252571b933 · outbound

This paper cites Few-shot bioacoustic event detection: A new task at the dcase 2021 challenge,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Few-shot bioacoustic event detection: A new task at the dcase 2021 challenge,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:03.763469Z

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 0832e7e7-16b5-4a4e-8843-b9c21473e9cf · outbound

This paper cites Few-shot bioacoustic event detection at the DCASE 2022 challenge.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection Few-shot bioacoustic event detection at the DCASE 2022 challenge

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:48:02.827217Z

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 26442de2-3eb7-464c-b2a0-62f82b93a52d · outbound

This paper cites PANNs: Large-scale pretrained audio neural networks for audio pattern recognition,.

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection PANNs: Large-scale pretrained audio neural networks for audio pattern recognition,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:03.530082Z

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.

Pith citing papers

No inbound Pith citation observations are available.