Paper Citation Record · LEDGER

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2607.06392.

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

pith.paper-citation-record.v1
2607.06392 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T07:33:22.898615Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T07:33:22.898615Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T07:34:43.130062Z

Reference resolution

44 of 44 outbound references displayed

verified exact13
verified fuzzy27
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e6941ad-25da-4c07-acd2-abeff45c5e65 · outbound

This paper cites an unresolved cited work.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-07-08T07:34:43.374441Z

Source-reported events for the cited work

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Observation 82848d1c-5f7d-4275-8eaa-c256a288cd70 · outbound

This paper cites InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.131579Z

Source-reported events for the cited work

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Observation ed0d7673-27ed-4ba9-bc35-6a55de3b41b2 · outbound

This paper cites P” for predictive (masked prediction), “C.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective P” for predictive (masked prediction), “C

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.309303Z

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Observation 2de6934a-ee2a-4bbd-9f78-5582d959bb2e · outbound

This paper cites flattens.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective flattens

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.389772Z

Source-reported events for the cited work

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Observation 77fa1bdf-2c72-49b1-b82b-e0aa07855210 · outbound

This paper cites In terms of phonetic content (SpeechBERTScore), both SSL models display a broad region of high SpeechBERTScore values, indicating a stable phonetic encoding.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective In terms of phonetic content (SpeechBERTScore), both SSL models display a broad region of high SpeechBERTScore values, indicating a stable phonetic encoding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.342170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9bec8b19-df44-4e57-96ff-b88bf026c7d0 · outbound

This paper cites Our analysis revealed dis- tinct optimization regimes, notably the late-stageentropy col- lapsein Wav2Vec2, contrasting with the geometric stability of WavLM.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Our analysis revealed dis- tinct optimization regimes, notably the late-stageentropy col- lapsein Wav2Vec2, contrasting with the geometric stability of WavLM

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.347145Z

Source-reported events for the cited work

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Observation 27b71982-218e-42f6-a1a0-761dd69a6a5e · outbound

This paper cites an unresolved cited work.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-07-08T07:34:43.322052Z

Source-reported events for the cited work

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Observation 35cb1050-b732-42c7-9696-4498b151b0d0 · outbound

This paper cites They did not contribute to the scientific content, analyses, or conclusions of this work.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective They did not contribute to the scientific content, analyses, or conclusions of this work

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.295532Z

Source-reported events for the cited work

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Observation 8e70f6de-0402-4dbd-8dd8-12f0d27e7eaf · outbound

This paper cites Audio self-supervised learning: A survey.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Audio self-supervised learning: A survey

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.303685Z

Source-reported events for the cited work

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Observation dfbe4b0c-e9ee-4e7e-9929-612bc688dc09 · outbound

This paper cites Self-supervised speech representation learning: A review.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Self-supervised speech representation learning: A review

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.298028Z

Source-reported events for the cited work

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Observation bbe2d59d-b28a-451d-90d9-74bb0d110a6d · outbound

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

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Wavlm: Large-scale self- supervised pre-training for full stack speech processing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.335659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b5720b33-bfa1-429f-8939-75636440af77 · outbound

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

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.396092Z

Source-reported events for the cited work

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Observation b2204259-f1a5-4f4b-88be-e31f10c30167 · outbound

This paper cites Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.406451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a363e606-192b-4193-9151-e4a170cc95c5 · outbound

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

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Exploring wav2vec 2.0 on speaker verification and language identification

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.109415Z

Source-reported events for the cited work

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Observation 5890da5e-07d5-4cb0-a070-6e64d930fa15 · outbound

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

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.128546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d94f2228-de5b-4331-8f5c-64da30fd43e3 · outbound

This paper cites Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.117158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4d1bfe8-a277-4c42-ae3b-018a26f983d3 · outbound

This paper cites Exploring wav2vec 2.0 fine tuning for improved speech emotion recognition,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Exploring wav2vec 2.0 fine tuning for improved speech emotion recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.379822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 942f4d2c-fab2-441b-b029-9e908a01ffef · outbound

This paper cites Boosting Self-Supervised Embeddings for Speech Enhancement.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Boosting Self-Supervised Embeddings for Speech Enhancement

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.134667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dba035b9-43c3-4588-9e90-a248acc7674e · outbound

This paper cites Investigating self-supervised learning for speech enhancement and separation,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Investigating self-supervised learning for speech enhancement and separation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.328172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 29d72771-7895-46ba-9604-4f6e0be24cc6 · outbound

This paper cites Layer-wise analysis of a self-supervised speech representation model.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Layer-wise analysis of a self-supervised speech representation model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.311979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 36d8a162-c6e8-4401-98cf-c998e26c91d3 · outbound

This paper cites What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.103019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c469199-a373-4f13-8db3-5d484cd9d45f · outbound

This paper cites Phone and speaker spatial organization in self-supervised speech represen- tations,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Phone and speaker spatial organization in self-supervised speech represen- tations,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.301070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 813eae8a-21ba-4a2f-b6f2-aa9d57a6c14d · outbound

This paper cites Exploration of a self- supervised speech model: A study on emotional corpora,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Exploration of a self- supervised speech model: A study on emotional corpora,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.386830Z

Source-reported events for the cited work

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Observation 8fbb7544-e92a-44e3-8ddf-d03abc8b4269 · outbound

This paper cites What do self-supervised speech and speaker mod- els learn? new findings from a cross model layer-wise analysis,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective What do self-supervised speech and speaker mod- els learn? new findings from a cross model layer-wise analysis,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.403501Z

Source-reported events for the cited work

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Observation 795b1293-8c35-481f-ae1f-491ace693320 · outbound

This paper cites Comparative layer-wise anal- ysis of self-supervised speech models,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Comparative layer-wise anal- ysis of self-supervised speech models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.399306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 06e38de1-db96-468e-a588-fec3d33cf9dd · outbound

This paper cites A large-scale probing analysis of speaker-specific at- tributes in self-supervised speech representations,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective A large-scale probing analysis of speaker-specific at- tributes in self-supervised speech representations,

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-08T07:34:43.099226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75a8d211-9522-437a-96ad-26166bbd215e · outbound

This paper cites Layer by Layer: Uncovering Hidden Representations in Language Models.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.095089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e844674-e6a0-4843-9c64-ee80b6a53b5c · outbound

This paper cites The information bottleneck method.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective The information bottleneck method

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.091656Z

Source-reported events for the cited work

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Observation b23f0263-c011-4454-b4c2-d61de8dd7a7b · outbound

This paper cites Opening the Black Box of Deep Neural Networks via Information.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Opening the Black Box of Deep Neural Networks via Information

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.106484Z

Source-reported events for the cited work

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Observation a152c60a-aefe-49da-a0c1-d8296a74b34d · outbound

This paper cites To compress or not to compress—self-supervised learning and information theory: A review,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective To compress or not to compress—self-supervised learning and information theory: A review,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.409306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cdc9bef5-c658-48ea-86a5-33b26788c949 · outbound

This paper cites Large language models implic- itly learn to straighten neural sentence trajectories to construct a predictive representation of natural language.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Large language models implic- itly learn to straighten neural sentence trajectories to construct a predictive representation of natural language

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.350133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 48ddab6f-1fa6-47d6-80ea-9b1d26417afc · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Representation Learning with Contrastive Predictive Coding

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.085386Z

Source-reported events for the cited work

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Observation 38a4f022-4b99-4fb5-9bf3-890ef975b247 · outbound

This paper cites LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T07:34:43.125210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c331c9a-a757-4979-8678-2bdeb9a338a5 · outbound

This paper cites DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T07:34:43.112949Z

Source-reported events for the cited work

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Observation 120c595d-e87d-4669-b885-91e85b5d808e · outbound

This paper cites Multivari- ate extension of matrix-based r ´enyi’s alpha-order entropy func- tional,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Multivari- ate extension of matrix-based r ´enyi’s alpha-order entropy func- tional,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.372137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9e23925-46c6-4ea7-9ffe-5215a8b695ff · outbound

This paper cites Data2vec: A general framework for self-supervised learning in speech, vision and language,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Data2vec: A general framework for self-supervised learning in speech, vision and language,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.362731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f48d494-06d2-40d1-b856-621afba09e87 · outbound

This paper cites Lib- rispeech: an asr corpus based on public domain audio books.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Lib- rispeech: an asr corpus based on public domain audio books

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.306218Z

Source-reported events for the cited work

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Observation 62b502cf-d6d2-4084-80c8-278417492d17 · outbound

This paper cites Flow Matching for Generative Modeling.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Flow Matching for Generative Modeling

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.121432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89897661-0cd8-492d-933a-242e58106ef7 · outbound

This paper cites Scalable diffusion models with transform- ers.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Scalable diffusion models with transform- ers

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.365662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 19569968-b82b-4ed5-83a7-388dc37522a7 · outbound

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

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Hifi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.338700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 69b0a9c6-e15d-42b4-901c-aa49d03539e9 · outbound

This paper cites SpeechBERTScore: Reference-Aware Automatic Evaluation of Speech Generation Leveraging NLP Evaluation Metrics.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective SpeechBERTScore: Reference-Aware Automatic Evaluation of Speech Generation Leveraging NLP Evaluation Metrics

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.088448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 01c1c60e-7173-4b4b-9790-0160e0efcb2e · outbound

This paper cites Generalized end- to-end loss for speaker verification,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Generalized end- to-end loss for speaker verification,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.317506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b5c06f6a-c24f-4f81-8d89-b89ba7dfbb1b · outbound

This paper cites High-fidelity neural phonetic posteriorgrams,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective High-fidelity neural phonetic posteriorgrams,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.376922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e1ba50e0-15ff-4b64-ba78-c9419ee83a97 · outbound

This paper cites Crepe: A convo- lutional representation for pitch estimation,.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Crepe: A convo- lutional representation for pitch estimation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T07:34:43.368407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 82848d1c-5f7d-4275-8eaa-c256a288cd70 · inbound