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Paper Citation Record · LEDGER

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.21712.

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

pith.paper-citation-record.v1
2506.21712 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:25:28.605102Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 309ee90f-0bb9-4dd5-91ac-7cbbfd341046 · outbound

This paper cites Effec- tiveness of Self-Supervised Pre-Training for ASR.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Effec- tiveness of Self-Supervised Pre-Training for ASR

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3ddf8954-34c3-4fa8-a90a-dc46b61fb615 · outbound

This paper cites data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 68ed416b-399e-4e94-9bfb-0ae96881ba0d · outbound

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

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7222a896-e7be-4a43-9e46-bc8c1cde2a48 · outbound

This paper cites Information-Theoretic Understanding of Population Risk Improvement with Model Com- pression.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Information-Theoretic Understanding of Population Risk Improvement with Model Com- pression

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 64d61391-68ae-42b2-8eb7-7f1c9d6fefc5 · outbound

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

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers WavLM: Large-scale self- supervised pre-training for full stack speech process- ing

Reference 5

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raw_fallback, observed 2026-08-06T22:25:33.865763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ffe9b5ed-b656-43ca-94de-cbe2ae68bf94 · outbound

This paper cites Large-scale self-supervised speech representation learning for automatic speaker verification.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Large-scale self-supervised speech representation learning for automatic speaker verification

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dc7f348d-a99a-482b-bc40-33fb7ae902e1 · outbound

This paper cites Self-Supervised Speech Rep- resentations are More Phonetic than Semantic.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Self-Supervised Speech Rep- resentations are More Phonetic than Semantic

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:26.727302Z digest=sha256:4acfd2fd34048e60ab0c3ad7b613c8062d28f3b301c639d07a292b153cfeffc5

Observation 3cf3216e-e0d4-41a9-a62c-df6d1a535d66 · outbound

This paper cites What do end-to-end speech models learn about speaker, language and channel information? A layer- wise and neuron-level analysis.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers What do end-to-end speech models learn about speaker, language and channel information? A layer- wise and neuron-level analysis

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:26.925304Z digest=sha256:001e1cbde11fdc0ebb59c0d2c4f77ff57300812b0b5b04b95367fb62790a6c48

Observation b3a7cc86-5281-4db4-aaa1-da37c3604975 · outbound

This paper cites An unsupervised autoregressive model for speech representation learning.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers An unsupervised autoregressive model for speech representation learning

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9ebbc98f-483c-46b0-9fbd-b49d5e49653d · outbound

This paper cites Front-End Factor Analysis for Speaker Verification.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Front-End Factor Analysis for Speaker Verification

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:27.045700Z digest=sha256:f622bb0a915e2f4a8cec495bd225877c2248382908ccf813feb6c3a238529016

Observation 8ceeafcb-5853-424c-ac2b-397d8e6d7bbc · outbound

This paper cites Exploring wav2vec 2.0 on speaker verification and language identification.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Exploring wav2vec 2.0 on speaker verification and language identification

Reference 11

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raw_fallback, observed 2026-08-06T22:25:32.617615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:27.101061Z digest=sha256:39a06f488d1f20c7360bbab8765a8e54f4b64683249dcede74f6cbf8575b9e9e

Observation 07ba2303-83fc-444c-8ce9-dabb139b775e · outbound

This paper cites The lottery ticket hypothesis: Finding sparse, trainable neural net- works.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers The lottery ticket hypothesis: Finding sparse, trainable neural net- works

Reference 12

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raw_fallback, observed 2026-08-06T22:25:32.444932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 13dede3f-60be-42ca-b2fe-796140333089 · outbound

This paper cites Self-supervised pre-training for attention-based encoder-decoder asr model.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Self-supervised pre-training for attention-based encoder-decoder asr model

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:27.214246Z digest=sha256:cabf9e9b7a1e459b17bf8d666449231f7151790d811b7edb8ae0da3efbe64a35

Observation 0986ef52-c63b-48b5-85b9-eafa5f65e781 · outbound

This paper cites Transformer feed-forward layers are key-value memories.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Transformer feed-forward layers are key-value memories

Reference 14

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raw_fallback, observed 2026-08-06T22:25:31.989063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b4074e4b-03e7-43cb-bba9-0ee889ef45ed · outbound

This paper cites Learning both Weights and Connec- tions for Efficient Neural Network.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Learning both Weights and Connec- tions for Efficient Neural Network

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:27.344523Z digest=sha256:725fa7f9ee83bae010eb1b732790a66e8bbb4e1e4f40e68f6ec2ec822fbe1a97

Observation a19828d9-e5df-428f-a2bf-e6a783218b50 · outbound

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

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers HuBERT: Self-supervised speech representation learning by masked prediction of hidden units

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f1f97ec8-0a38-4470-9fa6-864f987b4e8c · outbound

This paper cites SNIP: Single-shot Network Pruning based on Connection Sensitivity.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers SNIP: Single-shot Network Pruning based on Connection Sensitivity

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f50e7c19-32fa-48f0-b194-f0a7be1052f6 · outbound

This paper cites MelHu- BERT: A simplified HuBERT on Mel spectrograms.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers MelHu- BERT: A simplified HuBERT on Mel spectrograms

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:27.557079Z digest=sha256:f8c5c6914c46ff67af841e238f723f4d7792a4d21d41bc8f0b4f3942f0484f7c

Observation a3dfc27b-f5da-47c9-bbfd-bf9722da0206 · outbound

This paper cites Is Smaller Always Faster? Tradeoffs in Compressing Self-Supervised Speech Transformers.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Is Smaller Always Faster? Tradeoffs in Compressing Self-Supervised Speech Transformers

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:25:27.612020Z digest=sha256:22bab3720b33c59d846893276f82cbdf57868e598560a25cf1751844c00f7676

Observation c7c75aa7-13d6-48b2-8623-056e24c84396 · outbound

This paper cites Property Neurons in Self- Supervised Speech Transformers.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Property Neurons in Self- Supervised Speech Transformers

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ebc7b7de-f594-46cd-9f0d-a05eb86275a0 · outbound

This paper cites DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4d562693-ff0a-4a8f-bb98-cc2fff0492bc · outbound

This paper cites DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Represen- tation Learning.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Represen- tation Learning

Reference 22

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raw_fallback, observed 2026-08-06T22:25:30.860601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ddfb904e-523e-4e91-9581-d6612894ffe4 · outbound

This paper cites TERA: Self-Supervised Learning of Transformer Encoder Rep- resentation for Speech.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers TERA: Self-Supervised Learning of Transformer Encoder Rep- resentation for Speech

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:27.887074Z digest=sha256:bf160eb1fecd666b74379b4c6049d1a2a8af663c83067e9689be17b1eff77045

Observation 64e2457b-a11c-4e53-9ae8-099756df9ba0 · outbound

This paper cites Introducing phonetic information to speaker embedding for speaker verification.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Introducing phonetic information to speaker embedding for speaker verification

Reference 24

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raw_fallback, observed 2026-08-06T22:25:30.483418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c86fa06b-c217-4c73-9c42-ce5bd79f5706 · outbound

This paper cites Speaker embedding extraction with pho- netic information.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Speaker embedding extraction with pho- netic information

Reference 25

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raw_fallback, observed 2026-08-06T22:25:30.292776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:28.035813Z digest=sha256:ca449872b46d33850318f3e1ec1d4e58a9ead72542eb8832fc65e7917be2d83c

Observation aa943e3d-74b7-4ca0-885d-a4344b5a9330 · outbound

This paper cites Probing self-supervised speech models for phonetic and phonemic information: a case study in aspiration.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Probing self-supervised speech models for phonetic and phonemic information: a case study in aspiration

Reference 26

Resolution
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raw_fallback, observed 2026-08-06T22:25:30.107050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:28.118083Z digest=sha256:46ca9e914a3cfc45b60536e7d3eb983c4e26aba1bf43b44c2b8e3a0b81b56c37

Observation c6667708-0aee-4183-8c1f-7c638c3b8602 · outbound

This paper cites Towards Supervised Performance on Speaker Verification with Self-Supervised Learning by Leveraging Large-Scale ASR Models.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Towards Supervised Performance on Speaker Verification with Self-Supervised Learning by Leveraging Large-Scale ASR Models

Reference 27

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raw_fallback, observed 2026-08-06T22:25:29.895646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:28.185382Z digest=sha256:31e1caf2260aca24a1a730e71a1d09136a655479af01e6fd5aa93482b425d2b5

Observation 91ea8285-57f5-4b53-89e4-15c1d0ee3a42 · outbound

This paper cites Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:25:29.629155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:28.269241Z digest=sha256:aa8d580372dbc1961c9492773bf4813f9e23e909eac6c6ad700e352a5e11d1cb

Observation de6d4b23-0ae2-4c9d-8705-d10d5bd3bf4c · outbound

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

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers X-vectors: Robust dnn embeddings for speaker recognition

Reference 29

Resolution
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raw_fallback, observed 2026-08-06T22:25:29.294991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:28.351123Z digest=sha256:b85da220a9d40caa4ce31b2104f181f9ef32099d675c9d3867b7994673c043cd

Observation 8d87a066-029c-4c5f-908a-7b80a81e2f22 · outbound

This paper cites A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding

Reference 30

Resolution
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no resolver link, observed 2026-08-06T22:25:28.434258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:25:28.434258Z digest=sha256:3302a6f6f0ff87e47971d70814f3d45c83c86d839ed4d3d10f5fce5c8f618eed

Observation cae911fe-2c5e-4d70-a2b7-c9696eb18e3a · outbound

This paper cites Phonetic analysis of self-supervised representations of english speech.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers Phonetic analysis of self-supervised representations of english speech

Reference 31

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raw_fallback, observed 2026-08-06T22:25:28.985298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:28.519396Z digest=sha256:dc26ff7ec781607cdfd57e13109dffaa80ee83a2a0c9ddc1fef2dbf56a4c39fa

Observation c7a6832a-d7b6-4b86-8040-7b8a2a746618 · outbound

This paper cites SUPERB: Speech processing Universal PERformance Benchmark.

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers SUPERB: Speech processing Universal PERformance Benchmark

Reference 32

Resolution
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raw_fallback, observed 2026-08-06T22:25:28.837619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:25:28.605102Z digest=sha256:d8bcd0e637d0e951ca57f22dc71e47100a70fcfbaefc39b7988015c4515f39c8

Pith citing papers

No inbound Pith citation observations are available.