Paper Citation Record · LEDGER

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2508.20914.

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

pith.paper-citation-record.v1
2508.20914 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

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measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:49:09.624117Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e01b74be-c36e-4457-a620-329902376a41 · outbound

This paper cites Mechanisms of sound localization in mammals,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Mechanisms of sound localization in mammals,

Reference 1

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Observation 2991e817-7c3d-4890-8dae-64496c0728ba · outbound

This paper cites The generalized correlation method for estimation of time delay,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation The generalized correlation method for estimation of time delay,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:09.033746Z

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Observation 0f3d1bf4-85cc-49e1-be5d-16fdc883feff · outbound

This paper cites Use of the crosspower-spectrum phase in acoustic event location,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Use of the crosspower-spectrum phase in acoustic event location,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:09.018606Z

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Observation 95b7398a-45f9-41b8-b898-3808dee7056b · outbound

This paper cites Benesty, J.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Benesty, J

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:09.004194Z

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Observation 4dc0d491-3af9-478a-a429-03de3bd1fc43 · outbound

This paper cites Multi-source tdoa estimation in reverberant audio using angular spectra and clustering,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Multi-source tdoa estimation in reverberant audio using angular spectra and clustering,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.989013Z

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Observation 8898e373-acfd-4b0e-ad12-7cc3fcf8d2be · outbound

This paper cites A learning-based approach to direction of arrival estimation in noisy and reverberant environments,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation A learning-based approach to direction of arrival estimation in noisy and reverberant environments,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.974027Z

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Observation b4534029-a4e8-429c-aee8-a3ee88ea0af9 · outbound

This paper cites Steered response power for sound source localization: a tutorial review,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Steered response power for sound source localization: a tutorial review,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.958275Z

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Observation de0dc64f-266e-4e19-b043-84d837b2ecc4 · outbound

This paper cites Multiple emitter location and signal parameter estimation,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Multiple emitter location and signal parameter estimation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.941149Z

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Observation 9d4f7036-c7c1-4dc2-a924-5fbc55966b5f · outbound

This paper cites Monaural sound localization,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Monaural sound localization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.925406Z

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Observation d49a167c-bbd9-4461-9d60-536bb2ca6f44 · outbound

This paper cites Exploiting deep neural networks and head movements for robust binaural localization of multiple sources in reverberant environments,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Exploiting deep neural networks and head movements for robust binaural localization of multiple sources in reverberant environments,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.909423Z

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Observation 9530e77f-19a1-4c44-9471-0aba36018ffa · outbound

This paper cites Sound source localization using deep learning models,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Sound source localization using deep learning models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.893482Z

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Observation ed50df32-8a56-4601-85be-80ebaa235490 · outbound

This paper cites Deep learning based multi-source localization with source splitting and its effectiveness in multi-talker speech recognition,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Deep learning based multi-source localization with source splitting and its effectiveness in multi-talker speech recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.878045Z

Source-reported events for the cited work

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Observation 41acdbd7-43f4-4b71-b08a-41d8bd7fe4e7 · outbound

This paper cites Self-supervised speech representation learning: A review,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Self-supervised speech representation learning: A review,

Reference 13

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Observation bf3b604c-069e-43d5-912b-2900d5349c17 · outbound

This paper cites Sound localization based on phase difference enhancement using deep neural networks,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Sound localization based on phase difference enhancement using deep neural networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.851028Z

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Observation 2cb8047b-e575-4dff-9daa-0b5d1394a746 · outbound

This paper cites Estimation reliability function assisted sound source localization with enhanced steering vector phase difference,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Estimation reliability function assisted sound source localization with enhanced steering vector phase difference,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.834971Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 31727c98-d854-4520-a1d1-828695d01907 · outbound

This paper cites Ipdnet: A universal direct-path ipd esti- mation network for sound source localization,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Ipdnet: A universal direct-path ipd esti- mation network for sound source localization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.819088Z

Source-reported events for the cited work

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Observation 6acf3416-c150-457d-92af-3d4d1313b7d4 · outbound

This paper cites Masked autoencoders that listen,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Masked autoencoders that listen,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.804121Z

Source-reported events for the cited work

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Observation 4e7baaa4-6e1e-40be-85fb-a8dc143221b1 · outbound

This paper cites An unsupervised autore- gressive model for speech representation learning,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation An unsupervised autore- gressive model for speech representation learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.789571Z

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Observation 68f24992-2b13-447c-b1f5-00ae41785ff8 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 19

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Observation 48b8179e-b7f6-48d0-9843-30fef7b7b7da · outbound

This paper cites HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.764021Z

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Observation cc46aa99-6534-46dc-ac12-ab6d6ec04d5c · outbound

This paper cites WavLM: Large-scale self- supervised pre-training for full stack speech processing,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation WavLM: Large-scale self- supervised pre-training for full stack speech processing,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.749873Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9fac29a7-09c3-453d-862d-a760b357db23 · outbound

This paper cites Beats: audio pre-training with acoustic tokenizers,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Beats: audio pre-training with acoustic tokenizers,

Reference 22

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Observation 1c6fbc67-efa9-451f-9fd7-651c5431b7fd · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Representation Learning with Contrastive Predictive Coding

Reference 23

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Observation 4221496e-0c95-461a-9544-c350faae6c20 · outbound

This paper cites Towards robust speech representation learning for thousands of languages,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Towards robust speech representation learning for thousands of languages,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.721250Z

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Observation 2a7a3e01-ed4a-453a-ba83-012fd1a21274 · outbound

This paper cites A noise-robust self-supervised pre-training model based speech representation learning for automatic speech recognition,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation A noise-robust self-supervised pre-training model based speech representation learning for automatic speech recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.704777Z

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Observation 638e40e7-fd04-403a-ac58-55bdcbeab91c · outbound

This paper cites Joint separation and localization of moving sound sources based on neural full-rank spatial covariance analysis,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Joint separation and localization of moving sound sources based on neural full-rank spatial covariance analysis,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.689309Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e235fe6a-7151-4ab3-9089-1984e9e649fa · outbound

This paper cites Unssor: Unsupervised neural speech separation by leveraging over-determined training mixtures,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Unssor: Unsupervised neural speech separation by leveraging over-determined training mixtures,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.672700Z

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Observation 1c95363e-3af9-4bf8-a893-f622d2038bc3 · outbound

This paper cites Self-supervised learning of spatial acoustic representation with cross-channel signal reconstruction and multi-channel conformer,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Self-supervised learning of spatial acoustic representation with cross-channel signal reconstruction and multi-channel conformer,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.657289Z

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Observation 8c35f010-987b-4638-84ef-19dcb98ac9d9 · outbound

This paper cites Librispeech: An ASR corpus based on public domain audio books,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Librispeech: An ASR corpus based on public domain audio books,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.641979Z

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Observation ff6342d7-9d1d-43a0-a7c3-02a3f513ff9d · outbound

This paper cites Libri-Light: A benchmark for asr with limited or no supervision,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Libri-Light: A benchmark for asr with limited or no supervision,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.627296Z

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Observation a917a2ff-8329-44e2-b3db-bae7e2e0f353 · outbound

This paper cites HRTF-DATABASE,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation HRTF-DATABASE,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.612366Z

Source-reported events for the cited work

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Observation fc9a454c-6988-4d2b-b60f-7e41c37721b2 · outbound

This paper cites Signal-informed dnn-based doa estimation combining an external microphone and gcc-phat features,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Signal-informed dnn-based doa estimation combining an external microphone and gcc-phat features,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.597515Z

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Observation f939405a-4fc7-48b7-ad18-c54ebe767224 · outbound

This paper cites Geometry-aware doa estimation using a deep neural network with mixed-data input features,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Geometry-aware doa estimation using a deep neural network with mixed-data input features,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.581661Z

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Observation 841d9b3f-f0a6-4389-9a91-8f4997672c73 · outbound

This paper cites Deep learning-based speech specific source localization by using binaural and monaural microphone arrays in hearing aids,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Deep learning-based speech specific source localization by using binaural and monaural microphone arrays in hearing aids,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.567065Z

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Observation cc37794b-9df8-4527-ae0c-5638604aba1c · outbound

This paper cites Regression and clas- sification for direction-of-arrival estimation with convolutional recurrent neural networks,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Regression and clas- sification for direction-of-arrival estimation with convolutional recurrent neural networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.552159Z

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Observation fa550a59-9b7f-44d1-a1a6-3b097d7f37a6 · outbound

This paper cites Conformer: Convolution- augmented transformer for speech recognition,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Conformer: Convolution- augmented transformer for speech recognition,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.535995Z

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Observation 5c3b7758-e015-495c-9502-e902fe0c5c4b · outbound

This paper cites The 1st clarity prediction challenge: A machine learning challenge for hearing aid intelligibility prediction.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation The 1st clarity prediction challenge: A machine learning challenge for hearing aid intelligibility prediction

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.520854Z

Source-reported events for the cited work

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Observation 59f0fd68-4a31-477f-a247-e73d83fea68f · outbound

This paper cites A study on data augmentation of reverberant speech for robust speech recognition,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation A study on data augmentation of reverberant speech for robust speech recognition,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.505498Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0eb08abd-cb96-439b-bc44-a5296ac725ea · outbound

This paper cites anf-generator,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation anf-generator,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.489939Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 36f12924-6059-4799-af58-4447d1e7ceee · outbound

This paper cites Speech enhancement using long short-term memory based recurrent neural networks for noise robust speaker verification,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Speech enhancement using long short-term memory based recurrent neural networks for noise robust speaker verification,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:46:08.474288Z

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Observation f172ac4f-48b7-4a9f-829a-7f690a86dc77 · outbound

This paper cites Decoupled weight decay regularization,.

Learning Robust Spatial Representations from Binaural Audio through Feature Distillation Decoupled weight decay regularization,

Reference 41

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Pith citing papers

Observation 825c2128-d167-4878-8c1e-7f38f1205546 · inbound

Systematic Evaluation of Time-Frequency Features for Binaural Sound Source Localization cites this paper.

Systematic Evaluation of Time-Frequency Features for Binaural Sound Source Localization Learning Robust Spatial Representations from Binaural Audio through Feature Distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T21:49:09.624117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.