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Paper Citation Record · LEDGER

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2606.07210.

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

pith.paper-citation-record.v1
2606.07210 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T21:04:02.237231Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T21:04:02.237231Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T20:07:21.232851Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc649e69-9809-4cbf-8334-78e093a1dae2 · outbound

This paper cites A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization

Reference 1

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local_arxiv, observed 2026-07-02T20:07:21.234277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:d6fecfe5dcd351e1633f0fdd5aad5c74ee54e72212c56ab1270fcdae2462cd8b

Observation 493acbd9-91e5-4e63-b878-fc39f1584ef1 · outbound

This paper cites Attacker strategy Within the speech anonymization framework, the attacker is modeled as an ASV system.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Attacker strategy Within the speech anonymization framework, the attacker is modeled as an ASV system

Reference 2

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:6351e724b3ee290e33fac2a0d40b83026c91b1b9406cd84892abba77ef09c472

Observation 16828cbb-e5c9-488a-95d1-02fe7eb4c78b · outbound

This paper cites Our code is available for a reproductibility purpose2.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Our code is available for a reproductibility purpose2

Reference 3

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:89676adcfcab3258a4b073f722237aac8608703f903105a9dceda8e7f2500a70

Observation 29e45f2e-b8a8-4fbb-814a-38093ab476b8 · outbound

This paper cites Per-speaker score distributions Figure 1 shows the 18 speaker score distributions (2 anonymiza- tion systems×3 attackers×3 conversation lengthL).

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Per-speaker score distributions Figure 1 shows the 18 speaker score distributions (2 anonymiza- tion systems×3 attackers×3 conversation lengthL)

Reference 4

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:445dbbc0ce77f1bac0612cc5e9890f226bba088e6bf8cd9f67ab3b158aea6d21

Observation b852e37a-cc07-4024-909e-a31df355e44b · outbound

This paper cites an unresolved cited work.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Unresolved cited work

Reference 5

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:3c9e8115ab85487523140742a010cbf2902b25807c85d1f4f0d86e55066efa2b

Observation fb7c6636-0ce9-41b5-99aa-8f4235efd334 · outbound

This paper cites It was provided with computer and storage resources by GENCI at IDRIS thanks to the grant 2025-AD011015838R1 on the supercomputer Jean Zay’s V100 partition.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization It was provided with computer and storage resources by GENCI at IDRIS thanks to the grant 2025-AD011015838R1 on the supercomputer Jean Zay’s V100 partition

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:09cf48470079d0499c4cd7f84faeae22f13776daa98cfdc216176dbe7d7ee228

Observation 11567be3-8994-4db2-8c74-5050f7edb1e5 · outbound

This paper cites The authors declare that generative AI tools have been used solely to correct grammar.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization The authors declare that generative AI tools have been used solely to correct grammar

Reference 7

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:b3291f1371e13f9d82adf0773eb49a056560cd8e0980cd4d931b95ef6ebeeeeb

Observation a5a93398-5e4d-4d5a-8ca5-88628099d50c · outbound

This paper cites Privacy implica- tions of voice and speech analysis – information disclosure by inference,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Privacy implica- tions of voice and speech analysis – information disclosure by inference,

Reference 8

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:0dd31c825bc3b5d62e7bc43d03d71b27c813380daaea2d876b09491ee079ddec

Observation a0fe6cbe-d2aa-4f24-8e94-64592f1b29f3 · outbound

This paper cites Preserving privacy in speaker and speech characterisation,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Preserving privacy in speaker and speech characterisation,

Reference 9

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:868e9d35005c380fb209ab3ddecb830740107a44bbbea72e7ef712223c57298b

Observation 8b55a7ac-fa58-4ba4-b5dc-f978c5ba9c20 · outbound

This paper cites an unresolved cited work.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Unresolved cited work

Reference 10

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:95a2377b73d3e8df93d9cb7b7b4678919442526b0e901c2f97b6c885345f63ec

Observation 25e958bc-a62c-4f03-85a2-64ae3fc9b235 · outbound

This paper cites The V oicePrivacy 2020 Challenge: Results and findings,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization The V oicePrivacy 2020 Challenge: Results and findings,

Reference 11

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:ba5258b96d5fa63e7af71380ef8672dfc5f385bd0ef9ba224070f97f50de7d5e

Observation 4d1b5fdb-dc10-4bfe-b4c3-77f567ca1b78 · outbound

This paper cites Speaker recognition based on deep learning: An overview,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Speaker recognition based on deep learning: An overview,

Reference 12

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:18f8e7e708f93c20e5d25fa9f11455bd192fbd39d7e09566a166fe33c0175342

Observation 8ff4050a-2189-4440-beb8-f516b7f94257 · outbound

This paper cites The first V oicePrivacy Attacker Challenge,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization The first V oicePrivacy Attacker Challenge,

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:436b9e2e4f26f767485cc4a1b292e62512314a8fb3d6974f8b429beb2681a12b

Observation 317bd783-4c0e-4731-99f4-af045cbbdee6 · outbound

This paper cites The VoicePrivacy 2024 Challenge Evaluation Plan.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization The VoicePrivacy 2024 Challenge Evaluation Plan

Reference 14

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verified exact
arxiv_id, observed 2026-07-02T20:07:21.237902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:02659d56a9cf345cfda42a03b007fb5990c5ced23c9ae448eb80fa3c9000aca3

Observation d0894474-93bb-4f96-ae2c-bc6b57433994 · outbound

This paper cites The privacy ZEBRA: Zero evidence biometric recognition assessment,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization The privacy ZEBRA: Zero evidence biometric recognition assessment,

Reference 15

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:705ff652a0b2d02012b6a319e23c1ec1d8cabc8b82d216e00d5665c3324dfd91

Observation 17f3dab7-d8be-492e-b3b7-eaa03e6ffc34 · outbound

This paper cites Legally validated evaluation framework for voice anonymiza- tion,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Legally validated evaluation framework for voice anonymiza- tion,

Reference 16

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:6ad4ac65920d1ecdf8889439478595593256be8509b8a38e53d4cd287b47c72c

Observation e882b192-bb30-4970-ac43-92eb695d3ee6 · outbound

This paper cites Anonymiz- ing speaker voices: Easy to imitate, difficult to recognize?.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Anonymiz- ing speaker voices: Easy to imitate, difficult to recognize?

Reference 17

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:f01406481a3bf11b1582e125c52ffc650ea501701246b49cac2d751c230a164f

Observation 3228e6ed-97db-499f-aca4-09674c71f803 · outbound

This paper cites V oice anonymization for all-bias evaluation of the voice privacy chal- lenge baseline systems,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization V oice anonymization for all-bias evaluation of the voice privacy chal- lenge baseline systems,

Reference 18

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:3f0f9827bbbb0236fa452ada327c8c3f96fca88142b009d1e5133dffededa6db

Observation 92f9eca2-0e87-498a-b4b3-f9b69584355e · outbound

This paper cites A comprehensive evalua- tion framework for speaker anonymization systems,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization A comprehensive evalua- tion framework for speaker anonymization systems,

Reference 19

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:a3248ee083b158c41754caa319b64ffd174a84ff09fd295d4b18a30a52ede300

Observation db438158-a59d-41e1-9e60-fdfdb53f3e27 · outbound

This paper cites You are what you say: Exploiting linguistic content for V oicePrivacy attacks,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization You are what you say: Exploiting linguistic content for V oicePrivacy attacks,

Reference 20

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:fc4b5c249627e07f490e25ed8436f0871d0c44d3bb3bccab3eb5d94b324c60bd

Observation c1d879e9-2340-4516-b791-d8815130fd70 · outbound

This paper cites Speaker anonymization : representation, evaluation and formal guarantees,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Speaker anonymization : representation, evaluation and formal guarantees,

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:88c74d05d932aefd2bb77dfd37017b8693c3c324ba229998420f12c11c8dbe92

Observation 898712aa-53f6-4d0d-872c-cd4b6850a35d · outbound

This paper cites Optimizing the dataset for the privacy evaluation of speaker anonymizers,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Optimizing the dataset for the privacy evaluation of speaker anonymizers,

Reference 22

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:33adce399055f1b83d689cec807f11a12669ec9f03ab7ace9969053c394fe5c6

Observation 5dbd989d-2b49-4bbc-9035-4e55d774c724 · outbound

This paper cites Lib- rispeech: An ASR corpus based on public domain audio books,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Lib- rispeech: An ASR corpus based on public domain audio books,

Reference 23

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:6b91acdde69ed925ef45101d0cce20cca855f41a8a32c46edb37ed1e845652a9

Observation c208b5f9-c5ff-437f-a0ee-a3987ae7b09a · outbound

This paper cites Common V oice: A massively-multilingual speech corpus,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Common V oice: A massively-multilingual speech corpus,

Reference 24

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:b89e593721f504a6d54bf559bd430c4c4f077efca399ac17fdfce5d0aef58088

Observation 7bbad105-5c9e-47e1-ad1a-9b95ed549e98 · outbound

This paper cites Speaker anonymization using neural audio codec language models,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Speaker anonymization using neural audio codec language models,

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:ecc796be044e404554bc9c658d081b6847f0a6f2c5abd65104dfe8fddd1ee0a1

Observation 30ae7619-b4ee-4c12-acb0-1abbf71920a7 · outbound

This paper cites Prosody is not identity: A speaker anonymization approach using prosody cloning,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Prosody is not identity: A speaker anonymization approach using prosody cloning,

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:73aedf31eceb328aa1d4fd0f8d9e973fed44d858822e303fcca631e07b1dfb29

Observation 3286bbae-067b-46d5-967f-01bac9af6e38 · outbound

This paper cites Anonymizing speech: Evaluating and designing speaker anonymization techniques,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Anonymizing speech: Evaluating and designing speaker anonymization techniques,

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:6658012cd1a2c78abb27179b375bd521f13f5b92252fd6b7bea7e3c3eeaa3282

Observation e0f45591-4240-4c0c-b7f3-b44ce50ec9c7 · outbound

This paper cites Speaker anonymization with phonetic intermediate representa- tions,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Speaker anonymization with phonetic intermediate representa- tions,

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:4eb9e91b4269fe741bf5461495aa92f92055bca527419d367f5c215216db5852

Observation 987fec79-059e-45f1-aa60-b299283eea16 · outbound

This paper cites Anonymizing speech with generative adversarial networks to preserve speaker privacy,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Anonymizing speech with generative adversarial networks to preserve speaker privacy,

Reference 29

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:2f0431cdcf77759f80276cbd0525db26e33b349dd3ca34259f34ed835ac59d0d

Observation bfac0a5d-513e-4988-b246-5964000acdbd · outbound

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

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:ec7cb58c749bdce1228b3dde7f9ab4bdfbe9e1df6f559587dfdb297ecda64b38

Observation 566884f2-53f1-4b20-bbd9-ccf0f34e6209 · outbound

This paper cites Improving the speaker anonymization evaluation’s robustness to target speakers with adversarial learning,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Improving the speaker anonymization evaluation’s robustness to target speakers with adversarial learning,

Reference 31

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:020032a1d6f3220fb798d30038937cdf26ea93aeeed50e4990de75b4f042b445

Observation a72e59a9-5295-43cc-abf5-8f731e6ad6a1 · outbound

This paper cites ECAPA- TDNN: Emphasized channel attention, propagation and aggrega- tion in TDNN based speaker verification,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization ECAPA- TDNN: Emphasized channel attention, propagation and aggrega- tion in TDNN based speaker verification,

Reference 32

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:458ddd42368ce6da34c3033cd1f666ec9ca1cee377eef22de6872cd9f632eeac

Observation 0630d1d5-3514-40fb-b2ea-dd6d6ff8acc8 · outbound

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

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization WavLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 33

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:a9585b63f5b53e0bba1a554e500f73f1a29803fefec92f34692f053f75700a3e

Observation a6235367-a801-4efe-a835-beb0ef740085 · outbound

This paper cites Deep residual learning for image recognition,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Deep residual learning for image recognition,

Reference 34

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:283535657a02771c09fb2bc657f763006d827b229463eca3eb0ea356ddd73e27

Observation 5a59cc34-09c7-4263-a25a-8e87b697f486 · outbound

This paper cites Kiwano: A Cutting-Edge Open- Source Toolkit for Speaker Verification,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Kiwano: A Cutting-Edge Open- Source Toolkit for Speaker Verification,

Reference 35

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:3e9fd6c55f64f15700a6ee81747136bee5aad210049db049719ed5f6e8bafd2a

Observation c1ce498d-22d0-4948-9493-ddf0c97b1805 · outbound

This paper cites DAST: A dual-stream voice anonymization attacker with staged training,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization DAST: A dual-stream voice anonymization attacker with staged training,

Reference 36

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verified exact
arxiv_id, observed 2026-07-02T20:07:21.231975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:795bdb8834b111f6c1b9384f0f615be9fafe6cc66f60d774cf3d23aa85b2a766

Observation c3bdbe4a-834a-4b8e-9873-18b744d9293b · outbound

This paper cites Reshape dimensions network for speaker recognition,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Reshape dimensions network for speaker recognition,

Reference 37

Resolution
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Observation 250ae712-67bb-4ec1-91dc-59da97d5bd7c · outbound

This paper cites Fast adaptation of pre- trained speaker verification system for source speaker tracking,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Fast adaptation of pre- trained speaker verification system for source speaker tracking,

Reference 38

Resolution
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no resolver link, observed 2026-06-27T21:04:02.237231Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:ab14496c178094d3cc00dfea9e5c47498406e557d6a67faa2c9364a56e338c33

Observation 818b5da0-b848-4d0a-84da-ad7cae8d8d15 · outbound

This paper cites Reliability crite- rion based on learning-phase entropy for speaker recognition with neural network,.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization Reliability crite- rion based on learning-phase entropy for speaker recognition with neural network,

Reference 39

Resolution
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no resolver link, observed 2026-06-27T21:04:02.237231Z

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Pith citing papers

Observation dc649e69-9809-4cbf-8334-78e093a1dae2 · inbound

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization cites this paper.

A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T20:07:21.234277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T21:04:02.237231Z digest=sha256:d6fecfe5dcd351e1633f0fdd5aad5c74ee54e72212c56ab1270fcdae2462cd8b