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Paper Citation Record · LEDGER

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge

As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2607.22923.

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

pith.paper-citation-record.v1
2607.22923 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:13:36.953701Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:13:33.780301Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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  • unresolved26
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4e9c74e-3830-42e0-b578-8cb95a13531b · outbound

This paper cites Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge

Reference 1

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source=pdf_text observed=2026-08-01T04:13:33.780301Z digest=sha256:addee4de91cbf74c3f9b74f5780dd99549e0730927ae74b9b67b89020b8dbd92

Observation c50baca8-05b7-4033-a7cd-66978cfc64c4 · outbound

This paper cites wavlm base plus.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge wavlm base plus

Reference 2

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source=pdf_text observed=2026-08-01T04:13:33.913761Z digest=sha256:8b6cedafe03b90c3b094eea54e7f62f42824c4f9158dccd64e4a89a982de4ca7

Observation 406183ac-06c0-4e37-905b-8eff8b6e61e5 · outbound

This paper cites Development set performance Figure 1 summarizes results on the TidyV oice development set, which contains 12 million trials from 808 speakers and 40 lan- guages.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Development set performance Figure 1 summarizes results on the TidyV oice development set, which contains 12 million trials from 808 speakers and 40 lan- guages

Reference 3

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source=pdf_text observed=2026-08-01T04:13:34.049299Z digest=sha256:eef53e4817a2606d87e2300bc37fe831d0d4a4bc13bef1d08aa474cc99315b53

Observation 477f4292-0345-4bc6-b1e7-6a6e572f2138 · outbound

This paper cites Projecting out a Figure 2:NAP sweep and DET curves for the champion encoder.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Projecting out a Figure 2:NAP sweep and DET curves for the champion encoder

Reference 4

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source=pdf_text observed=2026-08-01T04:13:34.162736Z digest=sha256:6587cde49eb70c320b3af13cf03894f5c44841e2b78a4071abaf8b6be3023bfe

Observation c0794bd6-f1c0-45c3-9225-ecde9b772395 · outbound

This paper cites an unresolved cited work.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-01T04:13:34.275884Z digest=sha256:0e252472e87b3b4d31a237a29ecd81f61c3178640911d964b61b72cdda970f02

Observation 936af00a-57ca-4335-9ee2-db43be20a717 · outbound

This paper cites The LLMs were not involved in the development of ideas, methodology design, experimental procedures, data analysis, or interpretation of results.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge The LLMs were not involved in the development of ideas, methodology design, experimental procedures, data analysis, or interpretation of results

Reference 6

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source=pdf_text observed=2026-08-01T04:13:34.396178Z digest=sha256:03446751bcb6a6f0af15f57580bc3298d159cfbd042f1d1cc0853e9dc3d68e2c

Observation 8de142be-bcd0-4b94-91d0-f276fe5cb8af · outbound

This paper cites X-vectors: Robust dnn embeddings for speaker recognition,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge X-vectors: Robust dnn embeddings for speaker recognition,

Reference 7

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source=pdf_text observed=2026-08-01T04:13:34.512900Z digest=sha256:ea806027ac936c83931b58acd86ee48019c7ab3c85f51aff687481b9fa799031

Observation 424e2bb6-8a87-4568-81bb-1896f3203274 · outbound

This paper cites Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,

Reference 8

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source=pdf_text observed=2026-08-01T04:13:34.659597Z digest=sha256:df0768641ec77dcda2d1f999db8e376b0351b8a1e5ed351dd3389f1e4c05454f

Observation ba93fade-7a8a-4cd7-af79-8cc01be29211 · outbound

This paper cites Simple attention mod- ule based speaker verification with iterative noisy label detection,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Simple attention mod- ule based speaker verification with iterative noisy label detection,

Reference 9

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source=pdf_text observed=2026-08-01T04:13:34.749842Z digest=sha256:30e6e317669d7707508247743f2b887356a3d6e5568b942c9120eb995ddc21cf

Observation 19bf726a-5e02-4f4b-93b5-846dcd1ee51a · outbound

This paper cites Spoken language mismatch in speaker verification: An investigation with nist-sre and crss bi- ling corpora,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Spoken language mismatch in speaker verification: An investigation with nist-sre and crss bi- ling corpora,

Reference 10

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source=pdf_text observed=2026-08-01T04:13:34.868621Z digest=sha256:7e6d3f891cb722919e83ec5a6b9af5f0fdc098b8ddf5aa6794a285640ce2d808

Observation ec890cfe-30ed-4dd8-af68-400d07096fbc · outbound

This paper cites Modelling and compensation for language mismatch in speaker verification,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Modelling and compensation for language mismatch in speaker verification,

Reference 11

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source=pdf_text observed=2026-08-01T04:13:34.989655Z digest=sha256:0cc2b4bde733fd3e2345b523f0d4995ed7978fbefb170f1f2119fbd3a504486e

Observation d372d788-2641-4f67-8c95-8fa7a5f6b06e · outbound

This paper cites Front-end factor analysis for speaker verification,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Front-end factor analysis for speaker verification,

Reference 12

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source=pdf_text observed=2026-08-01T04:13:35.106413Z digest=sha256:9454dfbab45c2a981e034f55b87e43a40499f693de9257065cfb13495f814676

Observation a6556e59-b8c4-4e9a-918e-2eaecc2ee25e · outbound

This paper cites Semi-supervised nuisance-attribute networks for domain adaptation,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Semi-supervised nuisance-attribute networks for domain adaptation,

Reference 13

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source=pdf_text observed=2026-08-01T04:13:35.236032Z digest=sha256:2b19b4243f1744725ed91d52705dfdc702ae8506bcb2de3628146fd1a36cfde5

Observation 9c8d745c-3a3c-4b99-adc2-0d43f247ca65 · outbound

This paper cites Super- vised domain adaptation for text-independent speaker verification using limited data,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Super- vised domain adaptation for text-independent speaker verification using limited data,

Reference 14

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source=pdf_text observed=2026-08-01T04:13:35.336525Z digest=sha256:3327742eaec921d9f7487ce0f830d2d7680ef69e5c0e01bee52f1223c6851450

Observation c17b5dbf-b1a4-48aa-bf7d-60fb33eb892f · outbound

This paper cites Cross-lingual text- independent speaker verification using unsupervised adversarial discriminative domain adaptation,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Cross-lingual text- independent speaker verification using unsupervised adversarial discriminative domain adaptation,

Reference 15

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source=pdf_text observed=2026-08-01T04:13:35.444818Z digest=sha256:41dc0ef3b9d1f50e9f8df5931b3aeadb692f613b2204f856c2498840b558f470

Observation ff5ad0fc-da01-445a-bfd4-ccd2af70d553 · outbound

This paper cites Speaker verification using end-to-end adversar- ial language adaptation,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Speaker verification using end-to-end adversar- ial language adaptation,

Reference 16

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source=pdf_text observed=2026-08-01T04:13:35.552018Z digest=sha256:1217b8397b25e092537c6743f854fa85a2baf6f786267b378fe74f477d85a847

Observation abe810d0-bd7a-4336-a4aa-6da49a50e47d · outbound

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

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 17

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Observation 40455781-0c08-4dd6-99f5-d67d9692f79a · outbound

This paper cites Superb: Speech processing universal performance benchmark,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Superb: Speech processing universal performance benchmark,

Reference 18

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Observation e47ec07e-8383-4d07-8ecc-31f3274a68bd · outbound

This paper cites Tidyvoice 2026 challenge evaluation plan,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Tidyvoice 2026 challenge evaluation plan,

Reference 19

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Observation c8290fa3-c7f2-46ca-8d78-dae67eba9e4a · outbound

This paper cites Analysis of score normalization in multilingual speaker recognition,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Analysis of score normalization in multilingual speaker recognition,

Reference 20

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source=pdf_text observed=2026-08-01T04:13:36.072958Z digest=sha256:a4040464f46818ee388dcdb86879edc6e0d276e6babc3322e668da89b4a5cc2d

Observation a756739c-f040-40ce-95f8-8acf3af7f83f · outbound

This paper cites V oxblink2: A 100k+ speaker recognition corpus and the open- set speaker-identification benchmark,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge V oxblink2: A 100k+ speaker recognition corpus and the open- set speaker-identification benchmark,

Reference 21

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source=pdf_text observed=2026-08-01T04:13:36.236392Z digest=sha256:01093f8ad88f39abd51be3a58e7df41a740b69bf1f0631c8799609dd39966861

Observation 5bd55e4d-00df-4704-84c9-8f0e912b99a2 · outbound

This paper cites V oxceleb2: Deep speaker recognition,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge V oxceleb2: Deep speaker recognition,

Reference 22

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source=pdf_text observed=2026-08-01T04:13:36.373338Z digest=sha256:62f46783ab1f59bb03ae2b41d2f60ca58008aae666dff3c3973585ad4bb10981

Observation f26dd536-38d4-4993-aa22-2b25a6acb768 · outbound

This paper cites Domain-adversarial training of neural networks,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Domain-adversarial training of neural networks,

Reference 23

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Observation 0558a639-9fda-4634-92a9-edd7172535b4 · outbound

This paper cites Nuisance at- tribute projection,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Nuisance at- tribute projection,

Reference 24

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source=pdf_text observed=2026-08-01T04:13:36.728239Z digest=sha256:313ef0481f438cde67b1d3e145d32740434ff433dff2a22a15db66a9d282a6a4

Observation f5c547b1-3def-4e7b-a24c-e290ec603850 · outbound

This paper cites To train or not to train adversarially: A study of bias mitigation strategies for speaker recognition.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge To train or not to train adversarially: A study of bias mitigation strategies for speaker recognition

Reference 25

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Observation 324b12ce-6c42-4d01-83c4-430b67f7675a · outbound

This paper cites Tidyvoice: A curated multilingual dataset for speaker verification derived from common voice,.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Tidyvoice: A curated multilingual dataset for speaker verification derived from common voice,

Reference 26

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source=pdf_text observed=2026-08-01T04:13:36.953701Z digest=sha256:ebca11dcadc7a58395510d0b6a5298a25a364a10bea9e730ea7f1fd0b775dcf1

Pith citing papers

Observation d4e9c74e-3830-42e0-b578-8cb95a13531b · inbound

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge cites this paper.

Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge

Reference 1

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source=pdf_text observed=2026-08-01T04:13:33.780301Z digest=sha256:addee4de91cbf74c3f9b74f5780dd99549e0730927ae74b9b67b89020b8dbd92