Paper Citation Record · LEDGER

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement

As of 4 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2605.04749.

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

pith.paper-citation-record.v1
2605.04749 v4

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T23:38:09.862873Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T23:38:09.862873Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T23:45:08.351187Z

Reference resolution

40 of 40 outbound references displayed

verified exact2
verified fuzzy35
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6bb385b5-c7cd-4fc5-82ac-dbacee6b1c7b · outbound

This paper cites an unresolved cited work.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:43:38.773878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 47d7d934-39bf-49ec-af81-f6b62f37eb55 · outbound

This paper cites Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-30T23:45:08.352538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 28d707e7-e44c-4419-94ed-4f02b93ed2bc · outbound

This paper cites an unresolved cited work.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-07-07T10:43:38.780651Z

Source-reported events for the cited work

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Observation f8c4f25e-25c3-4965-9528-44c44d7743c6 · outbound

This paper cites Neural network computation load is reported as Multiply Accumulates per second (MAC/s).

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Neural network computation load is reported as Multiply Accumulates per second (MAC/s)

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-07-07T10:43:38.771665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8583d682-dcde-40e5-b342-355e206761bd · outbound

This paper cites The proposed method achieves high VM-BF performance by effectively leveraging spatial information to estimate multiple VM representations to condition a downstream task.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement The proposed method achieves high VM-BF performance by effectively leveraging spatial information to estimate multiple VM representations to condition a downstream task

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.778608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ac331b0b-7f07-4f78-875f-83a1449d4583 · outbound

This paper cites All scientific content, experimen- tal design, and results were produced by the authors.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement All scientific content, experimen- tal design, and results were produced by the authors

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.776356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ec78498f-f03d-40e2-860a-f22d63df9048 · outbound

This paper cites Benesty, J.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Benesty, J

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.769404Z

Source-reported events for the cited work

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Observation 0ffbaca5-88e1-4e10-9950-4dfbad7dc905 · outbound

This paper cites Beamforming: a versatile approach to spatial filtering.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Beamforming: a versatile approach to spatial filtering

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.767381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation edb1d7f6-5dd5-44b4-813c-d30c31606e1d · outbound

This paper cites Complex spectral mapping for single-and multi-channel speech enhancement and robust asr.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Complex spectral mapping for single-and multi-channel speech enhancement and robust asr

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.784849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d616b2f2-dc7e-4e4a-aa68-47b3486281d7 · outbound

This paper cites Neural network-based virtual microphone estima- tor.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Neural network-based virtual microphone estima- tor

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.828639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8e6a4947-71e0-4ee8-b401-ccc60176fe7d · outbound

This paper cites Neural virtual microphone estimator: Application to multi-talker reverberant mixtures.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Neural virtual microphone estimator: Application to multi-talker reverberant mixtures

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.794585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7da187ad-5d22-42a6-bd4f-b0a03e63f893 · outbound

This paper cites Neural network-based virtual microphone estimation with virtual microphone and beamformer-level multi-task loss.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Neural network-based virtual microphone estimation with virtual microphone and beamformer-level multi-task loss

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.820283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c0275a46-dabc-4db0-a362-03c5781793c5 · outbound

This paper cites Robust DOA esti- mation from deep acoustic imaging.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Robust DOA esti- mation from deep acoustic imaging

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.838591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 38a0e232-b1ea-483d-8d8c-b5f9607d3fb8 · outbound

This paper cites Deep back-projection networks for super-resolution.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Deep back-projection networks for super-resolution

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.831772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cf54fafa-7513-419b-8ef2-20707adea5ed · outbound

This paper cites Unsupervised training of neural network- based virtual microphone estimator.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Unsupervised training of neural network- based virtual microphone estimator

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.805540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 75bd7786-dc3e-48f7-ad1b-b9a43416d120 · outbound

This paper cites Transformer- based virtual microphone estimator.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Transformer- based virtual microphone estimator

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.795592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 42668b77-d675-4cdb-8332-61c4b7d0f57a · outbound

This paper cites On optimal frequency- domain multichannel linear filtering for noise reduction.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement On optimal frequency- domain multichannel linear filtering for noise reduction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.811419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation dfc3d050-9e5c-43db-9e35-d908b21c97f8 · outbound

This paper cites Ultra low-compute complex spec- tral masking for multichannel speech enhancement.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Ultra low-compute complex spec- tral masking for multichannel speech enhancement

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.797953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation de102321-0b8b-4c61-bafb-a5a9e2657a38 · outbound

This paper cites STFT- Domain neural speech enhancement with very low algorithmic la- tency.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement STFT- Domain neural speech enhancement with very low algorithmic la- tency

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.832568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0e9fa5de-ca5f-418b-b886-c18f8d6ad79d · outbound

This paper cites Multi-microphone complex spectral mapping for speech dereverberation.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Multi-microphone complex spectral mapping for speech dereverberation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.827174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 23b86ae9-c802-4f94-a9cb-45aef76101d4 · outbound

This paper cites Neural network based spectral mask estimation for acoustic beamforming.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Neural network based spectral mask estimation for acoustic beamforming

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.801247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1308c893-2291-4506-91e3-40b9392c065b · outbound

This paper cites Generative adver- sarial nets.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Generative adver- sarial nets

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.814684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation aec57ca4-9479-4c79-9246-2cb050ac0e10 · outbound

This paper cites Dynamic convolution: Attention over convolution kernels.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Dynamic convolution: Attention over convolution kernels

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.843448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b3b93cb6-6d53-4c22-bb63-5aa895538cda · outbound

This paper cites Mish: A self regularized non-monotonic activation function.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Mish: A self regularized non-monotonic activation function

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.803438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 68f51c5d-fe5b-445d-ac91-d5844cf2c4a1 · outbound

This paper cites DeFT-Mamba: universal multichannel sound separation and polyphonic audio classification.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement DeFT-Mamba: universal multichannel sound separation and polyphonic audio classification

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.844574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 18bcf20a-a069-47d5-b726-973d81560657 · outbound

This paper cites CMGAN: Conformer-based metric-gan for monaural speech enhancement.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement CMGAN: Conformer-based metric-gan for monaural speech enhancement

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.848787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b1f1fb10-2588-4877-a75e-a0285f476bb2 · outbound

This paper cites SpatialNet: Extensively learning spatial in- formation for multichannel joint speech separation, denoising and dereverberation.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement SpatialNet: Extensively learning spatial in- formation for multichannel joint speech separation, denoising and dereverberation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.813630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 08266268-c2ac-41a9-8c18-b60bb19014a2 · outbound

This paper cites Conv-TasNet: Surpassing ideal time– frequency magnitude masking for speech separation.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Conv-TasNet: Surpassing ideal time– frequency magnitude masking for speech separation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.821387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0e8c557e-5abd-48e2-9310-4914b9838330 · outbound

This paper cites DeFTAN-II: Efficient multichannel speech enhancement with subgroup processing.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement DeFTAN-II: Efficient multichannel speech enhancement with subgroup processing

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.840281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6697fc09-6042-4a34-81c7-c340bf702284 · outbound

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

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Self-supervised learning of spatial acoustic representation with cross-channel signal reconstruction and multi- channel conformer

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.845608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation dc965771-da26-418b-86e7-89e3bf000f37 · outbound

This paper cites Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:08.355630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e98a8e04-afb3-4fdc-af56-842af6dfbdf7 · outbound

This paper cites The INTERSPEECH 2020 deep noise suppression challenge: Datasets, subjective testing frame- work, and challenge results.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement The INTERSPEECH 2020 deep noise suppression challenge: Datasets, subjective testing frame- work, and challenge results

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.840827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 35dbfec3-afd6-4980-b18d-9c8d2d50ae95 · outbound

This paper cites Pyroomacoustics: A python package for audio room simulation and array processing algorithms.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Pyroomacoustics: A python package for audio room simulation and array processing algorithms

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.836172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 02f0550e-2731-4286-9c77-5442c7f63f1f · outbound

This paper cites FoVNet: Configurable field-of-view speech enhance- ment with low computation and distortion for smart glasses.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement FoVNet: Configurable field-of-view speech enhance- ment with low computation and distortion for smart glasses

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.826848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fe8d75ff-96da-4847-995c-de48aab7cf1f · outbound

This paper cites Sequential multi-frame neural beamforming for speech separation and enhancement.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Sequential multi-frame neural beamforming for speech separation and enhancement

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.834365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6a47dbef-5979-4693-a30d-fd6380369dde · outbound

This paper cites HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.822465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5f33b121-b605-4765-905f-279c0f519adc · outbound

This paper cites Sdr–half- baked or well done?.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Sdr–half- baked or well done?

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.808912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f0cfbd4f-fa8d-4a74-b512-c742195a1738 · outbound

This paper cites Perceptual eval- uation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement Perceptual eval- uation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.842664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e6708a09-5059-4679-a04c-b22c58c7ca57 · outbound

This paper cites A short- time objective intelligibility measure for time-frequency weighted noisy speech.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement A short- time objective intelligibility measure for time-frequency weighted noisy speech

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.847421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b03aa941-9dc3-4928-923f-bfe861506515 · outbound

This paper cites A simple RNN model for lightweight, low-compute and low-latency multichannel speech enhancement in the time domain.

Spatial-Magnifier: Spatial upsampling for multichannel speech enhancement A simple RNN model for lightweight, low-compute and low-latency multichannel speech enhancement in the time domain

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T10:43:38.789012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation 2011bd32-04fe-4ec6-a701-48265c934e74 · inbound