Pith. sign in

Paper Citation Record · LEDGER

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1701.02720.

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

pith.paper-citation-record.v1
1701.02720 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:14:58.892863Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T18:06:07.760018Z

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 6cac10e2-baba-4329-8873-a37fac7e5e96 · inbound

End-to-End ASR for Code-switched Hindi-English Speech cites this paper.

End-to-End ASR for Code-switched Hindi-English Speech Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-25T18:06:07.762671Z

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=2026-05-25T18:02:51.220425Z digest=sha256:e5987bfda1f9c8811924c4920c919c2ce827b38a1d36606748ee9afaab1de24b

Observation e811ad1f-4256-4798-b8a1-3918b15eba30 · inbound

V2S attack: building DNN-based voice conversion from automatic speaker verification cites this paper.

V2S attack: building DNN-based voice conversion from automatic speaker verification Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T15:14:58.892863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:14:58.892863Z digest=sha256:29090ee2aaaf733470b75dafd314c7f7fc2bf6e2639cf96ff0565aa5d91ca0a1

Observation 2177d82a-eb0b-4beb-8030-a1a4850965f6 · inbound

Attention Control with Metric Learning Alignment for Image Set-based Recognition cites this paper.

Attention Control with Metric Learning Alignment for Image Set-based Recognition Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-14T15:08:12.203000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:08:12.203000Z digest=sha256:5c0686d11392053c4a65711ea78afedce9aaa0c7f0f339e13f9806d9a7baedec

Observation 535169d2-b75a-4abf-97e7-ada423cd5849 · inbound

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling cites this paper.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-14T12:27:23.673391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:27:23.673391Z digest=sha256:175e25cf96bf745c9a2c4f8f70baf9d5a9938acf78d11f0e4834da072fd28a5f

Observation f94a51a3-be16-416b-8359-e048336d118c · inbound

Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training cites this paper.

Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T10:15:28.361589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:15:28.361589Z digest=sha256:feae6856c6755069364c4b3b592106a68ac95bf31bf5b6e342125413f03514a1