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Paper Citation Record · LEDGER

Combolutional Neural Networks

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.21202.

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

pith.paper-citation-record.v1
2507.21202 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:19:58.862984Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5df0581b-6c01-4894-bcdb-9763dae76e7a · outbound

This paper cites Backpropagation applied to handwritten zip code recognition,.

Combolutional Neural Networks Backpropagation applied to handwritten zip code recognition,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 273ce47a-7e4c-43a4-a664-ac165cec388e · outbound

This paper cites Neocognitron: A hierarchical neural network capable of visual pattern recognition,.

Combolutional Neural Networks Neocognitron: A hierarchical neural network capable of visual pattern recognition,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8021a559-42dc-49b3-a940-35ea612da8de · outbound

This paper cites Learning repre- sentations by back-propagating errors,.

Combolutional Neural Networks Learning repre- sentations by back-propagating errors,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e8ca7228-ccc9-4b81-8f29-691caa6e5414 · outbound

This paper cites Long Short-Term Memory,.

Combolutional Neural Networks Long Short-Term Memory,

Reference 4

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no resolver link, observed 2026-08-06T13:19:58.749451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9c00a5ff-829e-42be-b2f7-dcfbf4d33927 · outbound

This paper cites Attention is all you need,.

Combolutional Neural Networks Attention is all you need,

Reference 5

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no resolver link, observed 2026-08-06T13:19:58.756087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 440a94bf-8c9a-4474-8750-e046a679abc6 · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

Combolutional Neural Networks Robust speech recognition via large-scale weak supervision,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fa96dbba-0db3-45f1-b5bd-7d0b2601fc31 · outbound

This paper cites AST: Audio spectrogram trans- former,.

Combolutional Neural Networks AST: Audio spectrogram trans- former,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation afce1b32-f461-44b8-8fc0-38275425633a · outbound

This paper cites V ocos: Closing the gap between time-domain and fourier- based neural vocoders for high-quality audio synthesis,.

Combolutional Neural Networks V ocos: Closing the gap between time-domain and fourier- based neural vocoders for high-quality audio synthesis,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5e72f70c-a3c6-4379-bcb6-dfb87e5476a1 · outbound

This paper cites MelGAN: Generative adversarial networks for conditional waveform synthesis,.

Combolutional Neural Networks MelGAN: Generative adversarial networks for conditional waveform synthesis,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5fa4e89b-694d-4156-b31a-946b309aa7bc · outbound

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

Combolutional Neural Networks HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b277a5be-14d7-4c68-9f0f-f9b620724bd5 · outbound

This paper cites Feature learning and deep architectures: new directions for music informatics,.

Combolutional Neural Networks Feature learning and deep architectures: new directions for music informatics,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 58d2a6e3-83d4-43cc-b082-f9184fc4fae5 · outbound

This paper cites Conv-TasNet: Surpassing ideal time–frequency magnitude masking for speech separation,.

Combolutional Neural Networks Conv-TasNet: Surpassing ideal time–frequency magnitude masking for speech separation,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a1435c8c-0345-428d-8672-b04ce159efdd · outbound

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

Combolutional Neural Networks wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 89dea39e-053b-4af6-896f-338d39d77ab2 · outbound

This paper cites WaveNet: A generative model for raw audio,.

Combolutional Neural Networks WaveNet: A generative model for raw audio,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 660734a3-88e8-4076-9842-bfb8f8952e5a · outbound

This paper cites DDSP: Differentiable digital signal processing,.

Combolutional Neural Networks DDSP: Differentiable digital signal processing,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f81d9c39-088e-4a54-ac27-080e5dd7550d · outbound

This paper cites MIDI-DDSP: Detailed con- trol of musical performance via hierarchical modeling,.

Combolutional Neural Networks MIDI-DDSP: Detailed con- trol of musical performance via hierarchical modeling,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3fa75dd8-db35-4241-9c6f-89e4caa0c004 · outbound

This paper cites Differentiable IIR filters for machine learning applications,.

Combolutional Neural Networks Differentiable IIR filters for machine learning applications,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 21442003-890f-465d-afb1-2f45796b9edc · outbound

This paper cites Differentiable all-pole filters for time-varying audio systems,.

Combolutional Neural Networks Differentiable all-pole filters for time-varying audio systems,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ced898de-900b-48bc-9803-fe0d0f6ad53f · outbound

This paper cites Speaker recognition from raw waveform with sincnet,.

Combolutional Neural Networks Speaker recognition from raw waveform with sincnet,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a6580ff1-a2d7-4dd4-8b29-f0a6112bc365 · outbound

This paper cites Triton: an intermediate language and compiler for tiled neural network computations,.

Combolutional Neural Networks Triton: an intermediate language and compiler for tiled neural network computations,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6b5eacd3-f519-40a4-b795-a49c4418b9e3 · outbound

This paper cites Adam: A method for stochastic optimization.

Combolutional Neural Networks Adam: A method for stochastic optimization

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7d1e14a5-8ef3-43a7-beea-1de29a6bb0c1 · outbound

This paper cites Fast and accurate deep network learning by exponential linear units (ELUs).

Combolutional Neural Networks Fast and accurate deep network learning by exponential linear units (ELUs)

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation eadfbfbe-6e3b-4a38-a225-4a63531ecf2c · outbound

This paper cites DARPA TIMIT acoustic-phonetic continous speech corpus CD-ROM. NIST speech disc 1-1.1,.

Combolutional Neural Networks DARPA TIMIT acoustic-phonetic continous speech corpus CD-ROM. NIST speech disc 1-1.1,

Reference 23

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7cb1d0a5-cbcd-4087-9465-1cebe861cbbf · outbound

This paper cites Layer Normalization.

Combolutional Neural Networks Layer Normalization

Reference 24

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no resolver link, observed 2026-08-06T13:19:58.843645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0453f36b-fe3b-4488-af44-84c62dcc8e6c · outbound

This paper cites Batch normalization: accelerating deep network training by reducing internal covariate shift,.

Combolutional Neural Networks Batch normalization: accelerating deep network training by reducing internal covariate shift,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T13:19:58.848810Z digest=sha256:a8dddf54e5d27c509d3af722db81f593b568a0aec1275ba05f216842cc058993

Observation ac0eae11-0f44-4e2f-8620-ca8055dc0cd0 · outbound

This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.

Combolutional Neural Networks Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:19:58.853544Z digest=sha256:8a3844543e1a99892909a3757aefa9279fcab6039f664ef9d12d8bd9e383fee2

Observation d889db66-563a-44f9-947b-b27b59219942 · outbound

This paper cites Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections.

Combolutional Neural Networks Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T13:19:58.858237Z digest=sha256:e5e62a093a3af5ddf211154f9ec1f6c5cb2ff1fb5089447f9eb134264a4363a6

Observation 03b0ad5e-e71a-4af3-81c1-f8f293edb208 · outbound

This paper cites End-to-end musical key estimation using a convolutional neural network,.

Combolutional Neural Networks End-to-end musical key estimation using a convolutional neural network,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.