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Paper Citation Record · LEDGER

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization

As of 24 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2606.24528.

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

pith.paper-citation-record.v1
2606.24528 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T22:41:36.447569Z

measured 51 of 51 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 2026-06-25T22:41:36.447569Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T18:40:02.712431Z

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation 51bd13aa-baf6-4398-9b95-e24988aa79fe · outbound

This paper cites This is common in tasks such as speaker recognition [1] and face recog- nition [2].

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization This is common in tasks such as speaker recognition [1] and face recog- nition [2]

Reference 1

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Observation a9c7a035-de10-475e-ae72-fc2c66a6dcae · outbound

This paper cites SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization

Reference 2

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Observation fcc359c3-72d6-46cc-8c8e-3f8f4e354c66 · outbound

This paper cites In particular, the PLDA within- and between-speaker distributions (1) and (2) used in VBx are re- placed by the corresponding T-PSDA distributions (3) and (4).

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization In particular, the PLDA within- and between-speaker distributions (1) and (2) used in VBx are re- placed by the corresponding T-PSDA distributions (3) and (4)

Reference 3

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Observation b4845beb-b2c6-4cc9-b7c4-7583c300317c · outbound

This paper cites cannot-link.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization cannot-link

Reference 4

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Observation 1ca9b153-c2a9-42e4-a8b8-632298352030 · outbound

This paper cites For AMI and AliMeeting, we consistently use the first channel from the far-field microphone array.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization For AMI and AliMeeting, we consistently use the first channel from the far-field microphone array

Reference 5

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Observation 821ee657-0520-496c-bba6-d7af9cf13a57 · outbound

This paper cites The model was trained on16s chunks of the audio using the powerset loss [36], which supports up to four speakers with ar- bitrary overlap.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization The model was trained on16s chunks of the audio using the powerset loss [36], which supports up to four speakers with ar- bitrary overlap

Reference 6

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Observation f62dfa8b-0214-42f9-9012-f65a5defa9b8 · outbound

This paper cites an unresolved cited work.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Unresolved cited work

Reference 7

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Observation 1b4c6020-cb2b-4923-954e-df2407696412 · outbound

This paper cites an unresolved cited work.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Unresolved cited work

Reference 8

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Observation dbd65d41-2fbc-4371-834a-a55b3f088a31 · outbound

This paper cites On our own: Oppor- tunities and Risks in the Individualization of Society (PRINS) CZ.02.01.01/00/23 025/0008710.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization On our own: Oppor- tunities and Risks in the Individualization of Society (PRINS) CZ.02.01.01/00/23 025/0008710

Reference 9

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Observation 7459f323-0dec-4121-8983-ea0b87320590 · outbound

This paper cites The scientific content, methodology, experiments, and conclusions were developed by the authors.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization The scientific content, methodology, experiments, and conclusions were developed by the authors

Reference 10

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Observation aead41c1-d95d-4b6f-87ed-0970c3d95f91 · outbound

This paper cites Margin mat- ters: Towards more discriminative deep neural network embed- dings for speaker recognition,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Margin mat- ters: Towards more discriminative deep neural network embed- dings for speaker recognition,

Reference 11

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Observation 3604be83-5798-4a55-a803-3c123bf27c45 · outbound

This paper cites ArcFace: Additive Angular Margin Loss for Deep Face Recognition,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization ArcFace: Additive Angular Margin Loss for Deep Face Recognition,

Reference 12

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Observation aeb9fd39-00fa-48bd-8b05-fcd21968d99b · outbound

This paper cites Clustering on the unit hypersphere using von mises-fisher dis- tributions.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Clustering on the unit hypersphere using von mises-fisher dis- tributions

Reference 13

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Observation c9510a74-f98d-45c8-977b-a641f2559654 · outbound

This paper cites V on mises-fisher clustering models,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization V on mises-fisher clustering models,

Reference 14

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Observation c33e8f43-6354-40e9-a87a-8648dc09082c · outbound

This paper cites Robust speaker clus- tering using mixtures of von mises-fisher distributions for natural- istic audio streams,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Robust speaker clus- tering using mixtures of von mises-fisher distributions for natural- istic audio streams,

Reference 15

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Observation 84a62513-d636-49bb-8070-9570c41838ce · outbound

This paper cites Proba- bilistic back-ends for online speaker recognition and clustering,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Proba- bilistic back-ends for online speaker recognition and clustering,

Reference 16

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Observation 07f48aff-a461-4d79-9201-2f1ac3ff40ab · outbound

This paper cites Bayesian hmm based x-vector clustering for speaker diarization,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Bayesian hmm based x-vector clustering for speaker diarization,

Reference 17

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Observation 2ca1367e-4169-41b4-87ad-3ab880c6bea8 · outbound

This paper cites Bayesian HMM Clustering of x-vector Sequences (VBx) in Speaker Diarization: Theory, Implementation and Analysis on Standard Tasks,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Bayesian HMM Clustering of x-vector Sequences (VBx) in Speaker Diarization: Theory, Implementation and Analysis on Standard Tasks,

Reference 18

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Observation 86849eea-549c-48ca-9f73-400f0ad0a2c0 · outbound

This paper cites The speaker partitioning prob- lem.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization The speaker partitioning prob- lem

Reference 19

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Observation 9fbdc3f5-6db4-46cf-a580-0bfd434f92d6 · outbound

This paper cites Probabilistic Spherical Discriminant Analy- sis: An Alternative to PLDA for length-normalized embeddings,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Probabilistic Spherical Discriminant Analy- sis: An Alternative to PLDA for length-normalized embeddings,

Reference 20

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Observation 54874d01-a125-48c0-957b-e1298c0e7ec1 · outbound

This paper cites Toroidal probabilistic spherical discriminant analysis,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Toroidal probabilistic spherical discriminant analysis,

Reference 21

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Observation 35fba1a1-d9c1-466d-8ee4-ac1b47b31095 · outbound

This paper cites The third DI- HARD diarization challenge,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization The third DI- HARD diarization challenge,

Reference 22

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Observation 8ee6d1cc-45f8-4834-97c4-6b4a810a6a07 · outbound

This paper cites pyannote.audio 2.1 speaker diarization pipeline: prin- ciple, benchmark, and recipe,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization pyannote.audio 2.1 speaker diarization pipeline: prin- ciple, benchmark, and recipe,

Reference 23

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Observation ffbec6c6-91ac-4dd7-b6e1-ce83bc662a4f · outbound

This paper cites Integrating end-to- end neural and clustering-based diarization: Getting the best of both worlds,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Integrating end-to- end neural and clustering-based diarization: Getting the best of both worlds,

Reference 24

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Observation 98d969db-6099-40d1-a85c-4a33201b1f68 · outbound

This paper cites Advances in inte- gration of end-to-end neural and clustering-based diarization for real conversational speech,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Advances in inte- gration of end-to-end neural and clustering-based diarization for real conversational speech,

Reference 25

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Observation 8e8e7d73-c9e8-4dd6-b423-d4cf9c8035e4 · outbound

This paper cites VBx for end-to-end neural and clustering-based diarization,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization VBx for end-to-end neural and clustering-based diarization,

Reference 26

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Observation 4291125f-856f-40c6-9b78-42c0f47402ca · outbound

This paper cites Dual-strategy- enhanced ConBiMamba for neural speaker diarization,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Dual-strategy- enhanced ConBiMamba for neural speaker diarization,

Reference 27

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Source-reported events for the cited work

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Observation de23834e-e28d-47ab-a35e-110375a13459 · outbound

This paper cites Towards fully bayesian speaker recognition: integrating out the between-speaker covariance,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Towards fully bayesian speaker recognition: integrating out the between-speaker covariance,

Reference 28

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Observation 532563cf-1dcc-472b-8fbd-eba4076a4ac1 · outbound

This paper cites Discriminative Training of VBx Diariza- tion,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Discriminative Training of VBx Diariza- tion,

Reference 29

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Observation 5d2f202d-4588-480e-adc1-0620232a973a · outbound

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SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Unresolved cited work

Reference 30

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Observation 5a59aa6f-834b-4eee-84dd-22b4db1ecf26 · outbound

This paper cites CSL VBx Deriva- tions,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization CSL VBx Deriva- tions,

Reference 31

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Observation 0cacc822-0a48-497d-8d4b-759cf6b3167f · outbound

This paper cites Mardia and P.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Mardia and P

Reference 32

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Observation 53146fa5-8e4d-451f-96a4-b995a3608e86 · outbound

This paper cites Multi-stream extension of variational bayesian HMM clustering (MS-VBx) for combined end-to-end and vector clustering-based diarization,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Multi-stream extension of variational bayesian HMM clustering (MS-VBx) for combined end-to-end and vector clustering-based diarization,

Reference 33

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Observation d0f08037-0671-4aa6-8c4b-1b4d9ce2f1ba · outbound

This paper cites DiaPer: End-to-end neural diarization with perceiver-based attractors,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization DiaPer: End-to-end neural diarization with perceiver-based attractors,

Reference 34

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Observation 762dc3d9-8273-4aed-9ab2-5ce0dcc99aca · outbound

This paper cites Efficient and generalizable speaker diarization via structured pruning of self-supervised models.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Efficient and generalizable speaker diarization via structured pruning of self-supervised models

Reference 35

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arxiv_id, observed 2026-07-04T18:40:02.704579Z

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

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Observation 88810041-4e27-4516-83a6-57b2b8073a45 · outbound

This paper cites Pushing the limits of end- to-end diarization,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Pushing the limits of end- to-end diarization,

Reference 36

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Observation 407cd23d-5187-4864-90d4-7df25ab4860e · outbound

This paper cites The AMI meeting corpus: A pre-announcement,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization The AMI meeting corpus: A pre-announcement,

Reference 37

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Observation 5b3eca29-603e-4ac1-952d-77f8afb3e5fc · outbound

This paper cites AISHELL-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization AISHELL-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,

Reference 38

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Observation caf0da8d-31d2-4f8b-9171-c0c136cf46d9 · outbound

This paper cites M2MeT: The ICASSP 2022 multi-channel multi-party meeting transcription challenge,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization M2MeT: The ICASSP 2022 multi-channel multi-party meeting transcription challenge,

Reference 39

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Observation f977876e-a411-41f6-9091-87ce80561cb5 · outbound

This paper cites NOTSOFAR-1 challenge: New datasets, baseline, and tasks for distant meeting transcription,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization NOTSOFAR-1 challenge: New datasets, baseline, and tasks for distant meeting transcription,

Reference 40

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Observation 028f44f1-9154-4fdb-b96c-f247fd7a04c2 · outbound

This paper cites MSDWild: Multi- modal speaker diarization dataset in the wild,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization MSDWild: Multi- modal speaker diarization dataset in the wild,

Reference 41

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Observation 2d42b416-ba00-457d-b72f-658a51b233d4 · outbound

This paper cites Open source MagicData-RAMC: A rich annotated mandarin conversational (RAMC) speech dataset,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Open source MagicData-RAMC: A rich annotated mandarin conversational (RAMC) speech dataset,

Reference 42

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Observation 6e1bca50-cbc7-4752-bd44-067d7f730b3f · outbound

This paper cites Spot the conversation: Speaker diarisation in the wild,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Spot the conversation: Speaker diarisation in the wild,

Reference 43

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Observation 48a74f53-00eb-467d-8080-b99f66140f4c · outbound

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

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization WavLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 44

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Observation 72abf1ea-5c66-4e89-a7a1-b0fb1f0f6bb7 · outbound

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

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Conformer: Convolution-augmented transformer for speech recognition,

Reference 45

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Observation 98029cbb-0d35-415d-a2fd-3ccacb25c527 · outbound

This paper cites Powerset multi-class cross entropy loss for neural speaker diarization,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Powerset multi-class cross entropy loss for neural speaker diarization,

Reference 46

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Observation 91747c6f-0311-4893-93b9-bade3db5aa11 · outbound

This paper cites Leveraging self-supervised learning for speaker diarization,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Leveraging self-supervised learning for speaker diarization,

Reference 47

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Observation 9bd38afb-d2c0-4973-95ef-6dfb5745d52a · outbound

This paper cites Wespeaker: A research and production oriented speaker embedding learning toolkit,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Wespeaker: A research and production oriented speaker embedding learning toolkit,

Reference 48

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Observation f079c3db-7fa2-4df9-b681-420b0d8c404b · outbound

This paper cites V oxCeleb2: Deep speaker recognition,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization V oxCeleb2: Deep speaker recognition,

Reference 49

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Observation 0c3b01a8-24c1-42e9-ab30-c5fd3d6a39cc · outbound

This paper cites Multichannel source separation and tracking with ransac and directional statistics,.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization Multichannel source separation and tracking with ransac and directional statistics,

Reference 50

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Pith citing papers

Observation a9c7a035-de10-475e-ae72-fc2c66a6dcae · inbound

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization cites this paper.

SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization SphereVBx: Spherical Variational Bayes Clustering for Simplified EEND-VC Diarization

Reference 2

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local_arxiv, observed 2026-07-04T18:40:02.714120Z

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