Paper Citation Record · LEDGER

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study

As of 23 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2605.14031.

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

pith.paper-citation-record.v1
2605.14031 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T05:44:51.237010Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:54:07.457440Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

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verified fuzzy50
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e4bf6dd-b949-47b9-b9c5-7423cbd051e3 · outbound

This paper cites Mae-ast: Masked autoencoding audio spectrogram transformer.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Mae-ast: Masked autoencoding audio spectrogram transformer

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.020993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8a3984f-2065-41c8-810d-eb7480a3cfaa · outbound

This paper cites Entropy-based analysis of influential factors for underwater acoustic target recognition in passive sonar data.Ocean Engineering, 342: 122908.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Entropy-based analysis of influential factors for underwater acoustic target recognition in passive sonar data.Ocean Engineering, 342: 122908

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:06.988353Z

Source-reported events for the cited work

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Observation d85d0caf-f0ec-41a6-bf66-ecbc7795ddef · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.Advances in neural infor- mation processing systems, 33:12449–12460.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study wav2vec 2.0: A framework for self-supervised learning of speech representations.Advances in neural infor- mation processing systems, 33:12449–12460

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:06.992515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95756620-50f5-47aa-86a6-a8e76f2025b0 · outbound

This paper cites Global biodiversity: indicators of recent declines.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Global biodiversity: indicators of recent declines

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:06.997262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1df16cdc-9d33-40a3-93c2-49f575ac4514 · outbound

This paper cites The inaturalist sounds dataset.Advances in Neural Information Processing Systems, 37:132524–132544.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study The inaturalist sounds dataset.Advances in Neural Information Processing Systems, 37:132524–132544

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.005892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6c4f5d5a-9e49-499f-a59e-3c133989b904 · outbound

This paper cites Bioacoustic Geolocation: Species Sounds as Geographic Signals.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Bioacoustic Geolocation: Species Sounds as Geographic Signals

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-19T17:11:29.525978Z

Source-reported events for the cited work

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Observation a31cdd29-0406-4fbb-a0ac-1a701e09fec5 · outbound

This paper cites Beats: audio pre-training with acoustic tokeniz- ers.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Beats: audio pre-training with acoustic tokeniz- ers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.024814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c531b44-62ea-4670-81a2-7de1d239539d · outbound

This paper cites Eat: self-supervised pre-training with efficient audio transformer.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Eat: self-supervised pre-training with efficient audio transformer

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.054756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a2c5ce7-720b-4fcc-bf13-6c6b6f404b6c · outbound

This paper cites Satmae: Pre-training transformers for tempo- ral and multi-spectral satellite imagery.Advances in Neural Information Processing Systems, 35:197–211.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Satmae: Pre-training transformers for tempo- ral and multi-spectral satellite imagery.Advances in Neural Information Processing Systems, 35:197–211

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.031798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 342d311d-110a-4f49-b7e4-212d91d7e821 · outbound

This paper cites Pervasive human-driven decline of life on earth points to the need for transformative change.Science, 366(6471):eaax3100.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Pervasive human-driven decline of life on earth points to the need for transformative change.Science, 366(6471):eaax3100

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.063136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c9b460a-9ff3-4a3b-a3fd-9c98f66cd89b · outbound

This paper cites Clap learning audio concepts from natu- ral language supervision.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Clap learning audio concepts from natu- ral language supervision

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.059023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3464601d-d706-4e1e-9cf3-58d0aa1babb3 · outbound

This paper cites InsectSet459: an open dataset of insect sounds for bioacoustic machine learning.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study InsectSet459: an open dataset of insect sounds for bioacoustic machine learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:45:05.740024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9275abcf-ea27-4da4-8a48-41639cde4f4e · outbound

This paper cites Masked autoencoders as spatiotemporal learners.Advances in neural information processing systems, 35:35946–35958.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Masked autoencoders as spatiotemporal learners.Advances in neural information processing systems, 35:35946–35958

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.067403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8621fab5-bda7-48e9-92a7-1cf373832b20 · outbound

This paper cites Fsd50k: an open dataset of human-labeled sound events.IEEE/ACM Transactions on Audio, Speech, and Language Processing, 30:829–852.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Fsd50k: an open dataset of human-labeled sound events.IEEE/ACM Transactions on Audio, Speech, and Language Processing, 30:829–852

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.009863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8cb3ac77-c668-418f-b06c-b98e0c62b6d5 · outbound

This paper cites Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.037428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 19bfa3ab-926e-455f-aa5b-233e62725a1d · outbound

This paper cites Gemmeke, Daniel P.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Gemmeke, Daniel P

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.070802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 377dba3a-f385-4022-948c-6d8e3eec46d1 · outbound

This paper cites PhD thesis, TILBURG UNIVERSITY.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study PhD thesis, TILBURG UNIVERSITY

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.041524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 206ca5f9-03ef-441a-bd46-5272ea9939f0 · outbound

This paper cites Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring.Methods in Ecology and Evolution, 10(2):169–185.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring.Methods in Ecology and Evolution, 10(2):169–185

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.045959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee2f579c-d1a7-402d-8480-53dca80a15e4 · outbound

This paper cites Audioclip: Extending clip to image, text and audio.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Audioclip: Extending clip to image, text and audio

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.033114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43719fcf-d19d-435f-97c8-653cb66dc94f · outbound

This paper cites Aves: Animal vocalization encoder based on self-supervision.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Aves: Animal vocalization encoder based on self-supervision

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.017458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 78056374-c5e1-4fcf-b382-f55b12a14448 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Masked autoencoders are scalable vision learners

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.001768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 28511eb0-e2d3-4a03-88a8-aa3ff92482f7 · outbound

This paper cites Searching for mo- bilenetv3.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Searching for mo- bilenetv3

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.009344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac45a75e-7411-4737-92af-21b9c608e157 · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units.IEEE/ACM transactions on audio, speech, and language processing, 29: 3451–3460.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Hubert: Self-supervised speech representation learning by masked prediction of hidden units.IEEE/ACM transactions on audio, speech, and language processing, 29: 3451–3460

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.013588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77fd861c-0554-4c66-adc6-bd4fc44aa828 · outbound

This paper cites Masked autoencoders that listen.Advances in Neural Information Processing Systems, 35:28708–28720.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Masked autoencoders that listen.Advances in Neural Information Processing Systems, 35:28708–28720

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.028835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 503fd135-5e96-47c3-a458-25c18b2a2e86 · outbound

This paper cites inaturalist.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study inaturalist

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.049988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7684c2c-aa9e-43e2-84a9-83aa39857dc0 · outbound

This paper cites Birdnet: A deep learning solution for avian diversity monitoring.Ecological Informatics, 61:101236.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Birdnet: A deep learning solution for avian diversity monitoring.Ecological Informatics, 61:101236

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.004649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 64fa2e22-9d5b-46f5-8095-21d25d48a851 · outbound

This paper cites 3d object representations for fine-grained categorization.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study 3d object representations for fine-grained categorization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.045835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ac1d72d-b232-403c-bf69-ceb7ed05634e · outbound

This paper cites Mavis: A multimodal conversational assistant for avian species.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Mavis: A multimodal conversational assistant for avian species

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:04.885948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b214c748-d6dd-4410-8f9a-225b4a9ea09c · outbound

This paper cites Bilinear cnn models for fine-grained visual recognition.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Bilinear cnn models for fine-grained visual recognition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.075959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 315fb754-4952-4227-ad09-c1bb960b8af4 · outbound

This paper cites an unresolved cited work.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-15T05:50:04.890706Z

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Observation 27832b84-fdeb-42ce-a818-7bc0928d747c · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Fine-Grained Visual Classification of Aircraft

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:45:05.721069Z

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Observation d66838a1-4c8f-43d8-87fd-acf5903dc162 · outbound

This paper cites AVEX: What Matters for Animal Vocalization Encoding.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study AVEX: What Matters for Animal Vocalization Encoding

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:45:05.746528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dc0cb651-d321-432a-ba14-695dfc213d96 · outbound

This paper cites Mixture of mixups for multi-label classification of rare anuran sounds.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Mixture of mixups for multi-label classification of rare anuran sounds

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.050087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87ffadf2-1cab-4130-b289-5e3e4fd08436 · outbound

This paper cites Lv-mae: Learning long video representations through masked-embedding autoencoders.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Lv-mae: Learning long video representations through masked-embedding autoencoders

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:04.898925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7aa81363-16e1-4478-b4a7-f6f8dc096f53 · outbound

This paper cites The mel scale.Journal of Music Theory, 9(2): 295–308.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study The mel scale.Journal of Music Theory, 9(2): 295–308

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.062662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 865c3991-b697-48c2-b197-b35c70614fd7 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Learning transferable visual models from natural language supervi- sion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.067026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f12fe125-6641-4b4e-8bd7-873cee119aab · outbound

This paper cites Can masked autoen- coders also listen to birds?Transactions on Machine Learning Research Journal.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Can masked autoen- coders also listen to birds?Transactions on Machine Learning Research Journal

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.019592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c91513ac-75f7-4ded-a35e-04cc829d51a3 · outbound

This paper cites Birdset: A large-scale dataset for audio classification in avian bioacoustics.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Birdset: A large-scale dataset for audio classification in avian bioacoustics

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.071618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c89e3f48-c71f-4caa-857b-f69699060abf · outbound

This paper cites Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.080204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 56cd1b6d-b6a4-47dd-a81b-dd9c3d5df1f1 · outbound

This paper cites Transferable models for bioacoustics with human language supervision.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Transferable models for bioacoustics with human language supervision

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.041239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b22d9b02-fb5e-489c-a4bf-8f3bee67f4ba · outbound

This paper cites NatureLM-audio: an audio-language foun- dation model for bioacoustics.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study NatureLM-audio: an audio-language foun- dation model for bioacoustics

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.014865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3b03a324-87d4-4eb1-ad1c-d1021be31eff · outbound

This paper cites Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions.Functional Ecology, 37 (4):959–975.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions.Functional Ecology, 37 (4):959–975

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:04.985247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 882c84a7-e55b-44db-88c0-5b9fabd790ee · outbound

This paper cites Towards a global terrestrial species monitoring program.Journal for Nature Conservation, 25:51–57.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Towards a global terrestrial species monitoring program.Journal for Nature Conservation, 25:51–57

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.058586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 13d535cf-a7ff-43f5-83b5-7662ae92c29d · outbound

This paper cites wav2vec: Unsupervised pre-training for speech recognition.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study wav2vec: Unsupervised pre-training for speech recognition

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:04.999530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77e1ed9b-9358-4a15-a604-288f163200ea · outbound

This paper cites Foun- dation models for bioacoustics–a comparative review.Eco- logical Informatics, page 103765.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Foun- dation models for bioacoustics–a comparative review.Eco- logical Informatics, page 103765

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:04.994728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b4619a5a-19f0-4720-8ec5-5bbd2e8d6cfe · outbound

This paper cites Ruijie Tao, Zexu Pan, Rohan Kumar Das, Xinyuan Qian, Mike Zheng Shou, and Haizhou Li.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Ruijie Tao, Zexu Pan, Rohan Kumar Das, Xinyuan Qian, Mike Zheng Shou, and Haizhou Li

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:45:05.734040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation edfd85f8-65de-4164-84a7-50a5e3c9ea8f · outbound

This paper cites Terrestrial passive acoustic monitoring: review and perspectives.BioScience, 69 (1):15–25.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Terrestrial passive acoustic monitoring: review and perspectives.BioScience, 69 (1):15–25

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:04.903204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b861d612-0319-468b-b736-7c69688db783 · outbound

This paper cites Merlin l48 spectrogram dataset.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Merlin l48 spectrogram dataset

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.095234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 20bc89f3-5d33-4603-be57-89f6d7753fb1 · outbound

This paper cites Cross-scale mae: A tale of multiscale exploita- tion in remote sensing.Advances in Neural Information Processing Systems, 36:20054–20066.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Cross-scale mae: A tale of multiscale exploita- tion in remote sensing.Advances in Neural Information Processing Systems, 36:20054–20066

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.091196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6343cb79-536f-4bf5-b17e-01eb4cf32f3b · outbound

This paper cites Video- mae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural infor- mation processing systems, 35:10078–10093.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Video- mae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural infor- mation processing systems, 35:10078–10093

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.036774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 73a21fe9-9811-4835-bbb9-c5ac7ce67799 · outbound

This paper cites The inaturalist species classification and detection dataset.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study The inaturalist species classification and detection dataset

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.027202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 918b722c-4f21-4fec-bb34-c7fbf172227b · outbound

This paper cites Exploring fine- grained audiovisual categorization with the SSW60 dataset.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Exploring fine- grained audiovisual categorization with the SSW60 dataset

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.082756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e9a0000e-2916-4889-ba0d-ca17836df109 · outbound

This paper cites Perch 2.0: The bittern lesson for bioacoustics.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Perch 2.0: The bittern lesson for bioacoustics

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:45:05.754810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation beb4e399-6cd0-49df-bbc7-8a340c735f03 · outbound

This paper cites Revisiting mae pre-training for 3d medical image segmentation.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Revisiting mae pre-training for 3d medical image segmentation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.074531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 32c703b5-41c0-451f-a9b1-fc8de5ca6dfd · outbound

This paper cites Videomae v2: Scaling video masked autoencoders with dual masking.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Videomae v2: Scaling video masked autoencoders with dual masking

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.078570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2405d031-c624-42d1-a263-be8dd64d7c78 · outbound

This paper cites Diffusion models as masked autoencoders.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Diffusion models as masked autoencoders

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:45:07.086994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c25149a2-4342-442e-b925-a480f2137df2 · outbound

This paper cites Xeno-canto: Sharing bird sounds from around the world.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Xeno-canto: Sharing bird sounds from around the world

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:50:05.054403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3b4b5bdd-d1f1-423f-a94c-2185592574a5 · outbound

This paper cites an unresolved cited work.

Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-05-15T05:50:04.894613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation d474a162-ffd1-4536-9a92-195bddd599ba · inbound

MetaPerch: Learning from metadata for bioacoustics foundation models cites this paper.

MetaPerch: Learning from metadata for bioacoustics foundation models Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T02:54:07.457440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.