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Paper Citation Record · LEDGER

Towards Early Prediction of Self-Supervised Speech Model Performance

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2501.05966.

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

pith.paper-citation-record.v1
2501.05966 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:09:20.903912Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:09:20.730196Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:09:21.166119Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved19
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32286f49-282d-48e3-a03f-b3810ed3841d · outbound

This paper cites an unresolved cited work.

Towards Early Prediction of Self-Supervised Speech Model Performance Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a22d3847-3b3a-4c98-a15d-59994b323445 · outbound

This paper cites Towards Early Prediction of Self-Supervised Speech Model Performance.

Towards Early Prediction of Self-Supervised Speech Model Performance Towards Early Prediction of Self-Supervised Speech Model Performance

Reference 2

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local_arxiv, observed 2026-08-10T21:09:21.172743Z

Source-reported events for the cited work

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Observation db8b6727-8912-4a2d-ba60-c9647c3d8619 · outbound

This paper cites an unresolved cited work.

Towards Early Prediction of Self-Supervised Speech Model Performance Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation 4d939346-0b3e-4066-ad00-2735ce5ccbc6 · outbound

This paper cites Then we present results for each task.

Towards Early Prediction of Self-Supervised Speech Model Performance Then we present results for each task

Reference 4

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Source-reported events for the cited work

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Observation 8fc46881-5183-4432-83cb-a857a01425e2 · outbound

This paper cites To illustrate the potential compute savings, suppose one pre- trains the 30 models from this work to 400k steps.

Towards Early Prediction of Self-Supervised Speech Model Performance To illustrate the potential compute savings, suppose one pre- trains the 30 models from this work to 400k steps

Reference 5

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Source-reported events for the cited work

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Observation a2ff2a40-a06b-4209-a4df-3d5ad3fc21e7 · outbound

This paper cites an unresolved cited work.

Towards Early Prediction of Self-Supervised Speech Model Performance Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2c08ea3c-222d-421d-94ef-c31fafdb35b0 · outbound

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

Towards Early Prediction of Self-Supervised Speech Model Performance Self-supervised speech representation learning: A review,

Reference 7

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Source-reported events for the cited work

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Observation 28ac3184-9ec2-4fff-a480-f654dbee603c · outbound

This paper cites Superb: Speech pro- cessing universal performance benchmark,.

Towards Early Prediction of Self-Supervised Speech Model Performance Superb: Speech pro- cessing universal performance benchmark,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 80298ea6-7411-462e-83b4-37bdb49f3d00 · outbound

This paper cites Reducing barriers to self-supervised learning: Hubert pre- training with academic compute,.

Towards Early Prediction of Self-Supervised Speech Model Performance Reducing barriers to self-supervised learning: Hubert pre- training with academic compute,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-10T21:09:21.517900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ca310b70-fed9-4213-a42f-20079f828961 · outbound

This paper cites Xls-r: Self-supervised cross-lingual speech representation learning at scale,.

Towards Early Prediction of Self-Supervised Speech Model Performance Xls-r: Self-supervised cross-lingual speech representation learning at scale,

Reference 10

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no resolver link, observed 2026-08-10T21:09:20.771671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 67ad8de9-c5a0-4ce1-bf90-a4e8da9ec1b3 · outbound

This paper cites Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

Towards Early Prediction of Self-Supervised Speech Model Performance Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 33e6f3e0-c1f4-4548-8922-ac86a2d1bead · outbound

This paper cites Efficient self- supervised learning with contextualized target representations for vision, speech and language,.

Towards Early Prediction of Self-Supervised Speech Model Performance Efficient self- supervised learning with contextualized target representations for vision, speech and language,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-10T21:09:21.486228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9f51d3de-c7bd-4d43-b1e5-e3872f636eaf · outbound

This paper cites On the (in)efficiency of acoustic feature extrac- tors for self-supervised speech representation learning,.

Towards Early Prediction of Self-Supervised Speech Model Performance On the (in)efficiency of acoustic feature extrac- tors for self-supervised speech representation learning,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3fb41a4a-a8e6-4ea6-9911-810faf2fd781 · outbound

This paper cites An analysis of linear complexity attention substitues with best- rq,.

Towards Early Prediction of Self-Supervised Speech Model Performance An analysis of linear complexity attention substitues with best- rq,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-10T21:09:21.445319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 04250c51-1828-4e39-b571-261aca2529df · outbound

This paper cites Speech self-supervised representation benchmarking: Are we doing it right?.

Towards Early Prediction of Self-Supervised Speech Model Performance Speech self-supervised representation benchmarking: Are we doing it right?

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T21:09:21.428907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b71cdaf1-47dc-486e-8693-6c6505545a14 · outbound

This paper cites RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank,.

Towards Early Prediction of Self-Supervised Speech Model Performance RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-10T21:09:21.412228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a6879337-1188-4bbc-ae60-7f5eeb157563 · outbound

This paper cites The effective rank: A measure of ef- fective dimensionality,.

Towards Early Prediction of Self-Supervised Speech Model Performance The effective rank: A measure of ef- fective dimensionality,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 821ee8b3-1945-452c-b7d1-cb3c8f22dbe9 · outbound

This paper cites Towards Automatic Assessment of Self-Supervised Speech Models using Rank.

Towards Early Prediction of Self-Supervised Speech Model Performance Towards Automatic Assessment of Self-Supervised Speech Models using Rank

Reference 18

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 344e8bd8-6df3-4293-b53a-66792838a844 · outbound

This paper cites Self- supervised learning with random-projection quantizer for speech recognition,.

Towards Early Prediction of Self-Supervised Speech Model Performance Self- supervised learning with random-projection quantizer for speech recognition,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-10T21:09:21.372396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0f7a008d-387b-46a6-ad99-53b572ff021c · outbound

This paper cites Open Implementation and Study of BEST-RQ for Speech Processing.

Towards Early Prediction of Self-Supervised Speech Model Performance Open Implementation and Study of BEST-RQ for Speech Processing

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e9fc001-30f6-40fe-96a2-ffabb2c1099e · outbound

This paper cites SpeechBrain: A General-Purpose Speech Toolkit.

Towards Early Prediction of Self-Supervised Speech Model Performance SpeechBrain: A General-Purpose Speech Toolkit

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ad974c70-fd40-4adc-af6c-fa180d2779ac · outbound

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

Towards Early Prediction of Self-Supervised Speech Model Performance Conformer: Convolution-augmented transformer for speech recognition,

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 677c3ae5-9377-4f3d-a3a0-e1055fef8932 · outbound

This paper cites Some methods for classification and analysis of multivariate observations,.

Towards Early Prediction of Self-Supervised Speech Model Performance Some methods for classification and analysis of multivariate observations,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b93951bf-8e11-4309-918e-506c84e21d6d · outbound

This paper cites Least squares quantization in pcm,.

Towards Early Prediction of Self-Supervised Speech Model Performance Least squares quantization in pcm,

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 4d53263b-3386-4d14-8a98-639130bab03b · outbound

This paper cites Web-scale k-means clustering,.

Towards Early Prediction of Self-Supervised Speech Model Performance Web-scale k-means clustering,

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0d2ac95c-85fa-4420-bf58-5ad1862cc4fa · outbound

This paper cites Scikit-learn: Machine learning in Python,.

Towards Early Prediction of Self-Supervised Speech Model Performance Scikit-learn: Machine learning in Python,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7ed4d604-4f12-4b0f-8697-8d70416e408f · outbound

This paper cites k-means++: the advantages of careful seeding,.

Towards Early Prediction of Self-Supervised Speech Model Performance k-means++: the advantages of careful seeding,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 266beb86-e799-468e-a268-1b31ff43e703 · outbound

This paper cites A cluster separation measure,.

Towards Early Prediction of Self-Supervised Speech Model Performance A cluster separation measure,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e850321f-9d73-47b0-a393-3a00109527c6 · outbound

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

Towards Early Prediction of Self-Supervised Speech Model Performance Lib- rispeech: an asr corpus based on public domain audio books,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d77feaaa-6092-496e-a623-2f9ee6ccd3f1 · outbound

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

Towards Early Prediction of Self-Supervised Speech Model Performance wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:20.875401Z digest=sha256:3f6f0cc050b8146d6f8a15c349f84a9ca34b5ad31c22e9aa7793e210894e72b6

Observation 46ea029b-be06-42bc-820e-2afa5cf92340 · outbound

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

Towards Early Prediction of Self-Supervised Speech Model Performance Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:20.880574Z digest=sha256:cf666631db0834f30982b96e2642f6c81946a7e33f91a790680de8c821ef45e8

Observation ecd7c788-93f4-4b3a-bf14-d7a8899c9801 · outbound

This paper cites ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context,.

Towards Early Prediction of Self-Supervised Speech Model Performance ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:21.225818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:09:20.886242Z digest=sha256:5ffcc4e4db0b03de9dacf15e9c7794e58f09d4aa49ef060dadafbc82d82e98c8

Observation 4d0a56d3-1e37-4a0a-a1e2-1e9ce84d3ea9 · outbound

This paper cites V oxceleb: A large- scale speaker identification dataset,.

Towards Early Prediction of Self-Supervised Speech Model Performance V oxceleb: A large- scale speaker identification dataset,

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:20.892598Z digest=sha256:44b2e627950ac5820da7790508ae610a25225db96f99a608237efcd7419775ff

Observation 774dac3f-dd1e-4e4d-a6f1-93d15a889119 · outbound

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

Towards Early Prediction of Self-Supervised Speech Model Performance Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:20.898139Z digest=sha256:4f7847ab40d0e7da52f9620438df4c16be76498b9a4b95518ca0d4432aa23226

Observation 746c7500-0a02-4cd4-89ce-e63db7ae8908 · outbound

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

Towards Early Prediction of Self-Supervised Speech Model Performance Layer-wise analysis of a self-supervised speech representation model,

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:20.903912Z digest=sha256:b49c5bfd664ea1ccb311a11a5bf4297bec6fc12f7bb789e5a298e3b4e950dab1

Pith citing papers

Observation a22d3847-3b3a-4c98-a15d-59994b323445 · inbound

Towards Early Prediction of Self-Supervised Speech Model Performance cites this paper.

Towards Early Prediction of Self-Supervised Speech Model Performance Towards Early Prediction of Self-Supervised Speech Model Performance

Reference 2

Resolution
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local_arxiv, observed 2026-08-10T21:09:21.172743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:09:20.730196Z digest=sha256:82541e7684cea568b6d5981facc1b1f9c8955a82ab9fd2f2d579d647d91ba0fb