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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T18:02:51.220425Z digest=sha256:486a4d9cb0de84bdf5c20c38a6a52f3bfbd289c8ddd0d6870740c724c67f0ba8

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=sha256:1823c1841bca7bdd913139987f5c60cfa7675c187a4928bd6f0d342768f456e2

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:a7637809bd42a0a77295526aaf3ef4be324f93fb46908d1754e05c5945c1253a

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:bdbc8fa2f41a40ab838850f590422ac56c1eb22550eb96d3e646c3be88fd766d

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=sha256:35bb548848985db70c36cef4113ad2150c3ec5bc800692601f1c24b64b5ae47c