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Paper Citation Record · LEDGER

Salient Speech Representations Based on Cloned Networks

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:1908.07045.

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

pith.paper-citation-record.v1
1908.07045 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:31:50.583655Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:31:50.313226Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T12:31:51.002992Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact2
  • verified fuzzy19
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ecc73c05-8b5e-446f-9837-291338f588ab · outbound

This paper cites Salient Speech Representations Based on Cloned Networks.

Salient Speech Representations Based on Cloned Networks Salient Speech Representations Based on Cloned Networks

Reference 1

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local_arxiv, observed 2026-08-14T12:31:51.012018Z

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Observation 60b98c21-f043-4143-b4d2-2bf558ee26ea · outbound

This paper cites We then describe clone-based training proce- dures for the method in 2.2.

Salient Speech Representations Based on Cloned Networks We then describe clone-based training proce- dures for the method in 2.2

Reference 2

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Observation abf936b4-eef8-40d9-91b8-b3103ed44f68 · outbound

This paper cites an unresolved cited work.

Salient Speech Representations Based on Cloned Networks Unresolved cited work

Reference 3

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Observation 2cdaf603-d12f-4a10-bef4-416dae75cff6 · outbound

This paper cites Different regions of feature space can be identified with different signal attributes, render- ing the representation meaningful.

Salient Speech Representations Based on Cloned Networks Different regions of feature space can be identified with different signal attributes, render- ing the representation meaningful

Reference 4

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0865f74f-645e-492b-a80c-7a078586182d · outbound

This paper cites Ideally they are distentangled: the system then discovers a ’natural’ set of independent features corre- sponding to ground-truth factors [10].

Salient Speech Representations Based on Cloned Networks Ideally they are distentangled: the system then discovers a ’natural’ set of independent features corre- sponding to ground-truth factors [10]

Reference 5

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Observation 1804eeaa-7d33-4be2-8d05-98d3b2f38bd5 · outbound

This paper cites The shared features are found by encouraging the de- terministic mapping fφ to result in outputs that are maximally similar for all clones, despite their different inputs.

Salient Speech Representations Based on Cloned Networks The shared features are found by encouraging the de- terministic mapping fφ to result in outputs that are maximally similar for all clones, despite their different inputs

Reference 6

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Observation 053f0321-3c04-4294-a4c8-838d2466a24b · outbound

This paper cites an unresolved cited work.

Salient Speech Representations Based on Cloned Networks Unresolved cited work

Reference 7

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Observation 17b91a43-478e-425c-8b6e-f0b59f6e3ddf · outbound

This paper cites From ex- periments with a toy example, we conclude that clone-based training can be used to disentangle formants from a signal.

Salient Speech Representations Based on Cloned Networks From ex- periments with a toy example, we conclude that clone-based training can be used to disentangle formants from a signal

Reference 8

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Observation a88bda8d-a631-421a-a0a9-1e8fbac46239 · outbound

This paper cites Infogan: Interpretable representation learning by in- formation maximizing generative adversarial nets,.

Salient Speech Representations Based on Cloned Networks Infogan: Interpretable representation learning by in- formation maximizing generative adversarial nets,

Reference 9

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Observation f0f0372c-deac-4008-9648-ea474e8a03ef · outbound

This paper cites Auto-Encoding Variational Bayes.

Salient Speech Representations Based on Cloned Networks Auto-Encoding Variational Bayes

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 02bfa3d2-15db-4e87-ae62-63d1789b2b51 · outbound

This paper cites Stochastic Backpropagation and Approximate Inference in Deep Generative Models.

Salient Speech Representations Based on Cloned Networks Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Reference 11

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Observation a00d26b8-1955-4e95-8d89-8034c38b64d2 · outbound

This paper cites Variational Lossy Autoencoder.

Salient Speech Representations Based on Cloned Networks Variational Lossy Autoencoder

Reference 12

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Observation 60e7e9c4-dee6-45fb-bda9-f27762444183 · outbound

This paper cites InfoVAE: Information Maximizing Variational Autoencoders.

Salient Speech Representations Based on Cloned Networks InfoVAE: Information Maximizing Variational Autoencoders

Reference 13

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Observation d8be0bfd-0901-4ab4-8256-a3965bab3c80 · outbound

This paper cites Fixing a Broken ELBO.

Salient Speech Representations Based on Cloned Networks Fixing a Broken ELBO

Reference 14

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Observation 7994035a-a355-469a-8f4f-ba3bb8f7c031 · outbound

This paper cites The mutual autoencoder: Control- ling information in latent code representations,.

Salient Speech Representations Based on Cloned Networks The mutual autoencoder: Control- ling information in latent code representations,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cfd74bb8-9320-4b5d-a2c8-2bf6bfe1809d · outbound

This paper cites Is maximum likelihood useful for representation learning?.

Salient Speech Representations Based on Cloned Networks Is maximum likelihood useful for representation learning?

Reference 16

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6a580bc8-91f8-4383-951b-d90b6344a952 · outbound

This paper cites Bounded Information Rate Variational Autoencoders.

Salient Speech Representations Based on Cloned Networks Bounded Information Rate Variational Autoencoders

Reference 17

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ec9c12e5-36a3-408c-bf2c-f6627b4a1e8a · outbound

This paper cites Representation learning: A review and new perspectives,.

Salient Speech Representations Based on Cloned Networks Representation learning: A review and new perspectives,

Reference 18

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Observation b4e6d621-5df9-4524-bd06-e9f80a3e7d1b · outbound

This paper cites The Variational Fair Autoencoder.

Salient Speech Representations Based on Cloned Networks The Variational Fair Autoencoder

Reference 19

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Observation 7423c5a7-9e07-4112-aa67-e6753aa26e3f · outbound

This paper cites β-V AE: Learning basic visual concepts with a constrained variational framework,.

Salient Speech Representations Based on Cloned Networks β-V AE: Learning basic visual concepts with a constrained variational framework,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3847b8cc-23a7-45e9-b550-6b572f19e7a6 · outbound

This paper cites Understanding disentangling in $\beta$-VAE.

Salient Speech Representations Based on Cloned Networks Understanding disentangling in $\beta$-VAE

Reference 21

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Observation fab0b9cf-18ed-4d92-8130-db06775dad32 · outbound

This paper cites Structured disen- tangled representations,.

Salient Speech Representations Based on Cloned Networks Structured disen- tangled representations,

Reference 22

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1fbaa94f-fd4f-4239-9e3d-2fe261b48543 · outbound

This paper cites Disentangling by Factorising.

Salient Speech Representations Based on Cloned Networks Disentangling by Factorising

Reference 23

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Observation 9e5d41f4-b55a-47c4-ab83-352060d59c19 · outbound

This paper cites The information bottleneck method.

Salient Speech Representations Based on Cloned Networks The information bottleneck method

Reference 24

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Observation c7620cf3-d05e-4e39-949e-5878c5973a8f · outbound

This paper cites Deep Variational Information Bottleneck.

Salient Speech Representations Based on Cloned Networks Deep Variational Information Bottleneck

Reference 25

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Observation 367b2a43-6592-437e-9042-066958d02412 · outbound

This paper cites Wavenet based low rate speech coding.

Salient Speech Representations Based on Cloned Networks Wavenet based low rate speech coding

Reference 26

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f0c3520a-d974-4592-8c77-9c0b4d2b4762 · outbound

This paper cites Extraction of relevant speech fea- tures using the information bottleneck method,.

Salient Speech Representations Based on Cloned Networks Extraction of relevant speech fea- tures using the information bottleneck method,

Reference 27

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Observation 9bed476e-1048-4b72-9563-8a53387366ea · outbound

This paper cites Sig- nature verification using a.

Salient Speech Representations Based on Cloned Networks Sig- nature verification using a

Reference 28

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Observation 39af32f4-6a4d-4769-98bd-75ba596f712a · outbound

This paper cites Deep metric learning using triplet net- work,.

Salient Speech Representations Based on Cloned Networks Deep metric learning using triplet net- work,

Reference 29

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 117f775e-a58d-40f0-ab76-425f102f2cda · outbound

This paper cites Deep convolutional acoustic word embeddings using word-pair side information,.

Salient Speech Representations Based on Cloned Networks Deep convolutional acoustic word embeddings using word-pair side information,

Reference 30

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 92dc6291-37c2-4fc1-8cf2-34fdc2a16662 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio,.

Salient Speech Representations Based on Cloned Networks WaveNet: A Generative Model for Raw Audio,

Reference 31

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 53d63d85-c785-48d2-a79d-a481623c71ae · outbound

This paper cites A kernel method for the two-sample-problem,.

Salient Speech Representations Based on Cloned Networks A kernel method for the two-sample-problem,

Reference 32

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 38b5b809-f201-4254-bec3-f6b9abcb2a27 · outbound

This paper cites A kernel two-sample test,.

Salient Speech Representations Based on Cloned Networks A kernel two-sample test,

Reference 33

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Observation cdb2725b-6198-41fc-8280-4deb06910e11 · outbound

This paper cites Wasserstein generative adversarial networks,.

Salient Speech Representations Based on Cloned Networks Wasserstein generative adversarial networks,

Reference 34

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3bbd72eb-3538-4884-8110-c4798991d9ca · outbound

This paper cites Learning with a Wasserstein loss,.

Salient Speech Representations Based on Cloned Networks Learning with a Wasserstein loss,

Reference 35

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 84d12735-b657-4939-adfd-3400170743fe · outbound

This paper cites Long short-term memory,.

Salient Speech Representations Based on Cloned Networks Long short-term memory,

Reference 36

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source=pdf_text observed=2026-08-14T12:31:50.567111Z digest=sha256:7657205490ac48908e329a27dcc5aec7b3fe4103efe646dd2d16430e966cbeb3

Observation d65611a1-d80b-433a-affb-acaa432f9e87 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Salient Speech Representations Based on Cloned Networks Adam: A Method for Stochastic Optimization

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ae727d9f-4d69-4fe1-ace8-dd23266a1b69 · outbound

This paper cites The design for the wall street journal- based csr corpus,.

Salient Speech Representations Based on Cloned Networks The design for the wall street journal- based csr corpus,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-14T12:31:51.036684Z

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source=pdf_text observed=2026-08-14T12:31:50.583655Z digest=sha256:6ac6563cc9e173868101678d12f2c0bfe7416a2c8596cded333245a668d54c3d

Pith citing papers

Observation ecc73c05-8b5e-446f-9837-291338f588ab · inbound

Salient Speech Representations Based on Cloned Networks cites this paper.

Salient Speech Representations Based on Cloned Networks Salient Speech Representations Based on Cloned Networks

Reference 1

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metadata mismatch
local_arxiv, observed 2026-08-14T12:31:51.012018Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T12:31:50.313226Z digest=sha256:f063f069b4ffd580646dfea5311056e6076d45e03a444dccaf8aad66fa035046