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Paper Citation Record · LEDGER

A Review of Deep Learning Techniques for Speech Processing

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.00359.

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

pith.paper-citation-record.v1
2305.00359 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:14.536823Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T09:39:17.276912Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 13c4fe5d-5635-4a48-af93-da5047921b31 · inbound

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations cites this paper.

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations A Review of Deep Learning Techniques for Speech Processing

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:39:17.279913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T09:36:59.102360Z digest=sha256:57b3a3b4b99ba9fe0db48b0c5d29002f55bba4f621ea28fcabdb46ab59ea7b1d

Observation cd42cd76-28da-4556-a004-de7b876eae51 · inbound

Exploring the Potential of Metacognitive Support Agents for Human-AI Co-Creation cites this paper.

Exploring the Potential of Metacognitive Support Agents for Human-AI Co-Creation A Review of Deep Learning Techniques for Speech Processing

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:14.536823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:14.536823Z digest=sha256:e4330628b565da0fa518cdfb06ba24477b680e8d52eefd044d5ef29e676e71aa

Observation ba6f1da7-8ec5-4af4-a722-1c40c19dfc80 · inbound

Representing Speech Through Autoregressive Prediction of Cochlear Tokens cites this paper.

Representing Speech Through Autoregressive Prediction of Cochlear Tokens A Review of Deep Learning Techniques for Speech Processing

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T19:54:58.553897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:54:58.553897Z digest=sha256:8fa7bd45a26036e1eec484ebd33f0526a1e25ae8641c51e936f3474cd9d93946