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Paper Citation Record · LEDGER

Improved training of end-to-end attention models for speech recognition

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1805.03294.

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

pith.paper-citation-record.v1
1805.03294 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 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:36:26.078419Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T18:06:07.776254Z

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 d59b9b62-074e-43a4-9091-5b3905962562 · inbound

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

End-to-End ASR for Code-switched Hindi-English Speech Improved training of end-to-end attention models for speech recognition

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-25T18:06:07.779842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-25T18:02:51.220425Z digest=sha256:8313c7540775337255cfabb15cc132c4727221da3a9c129d8415416325f9acb6

Observation 106dcf1b-4172-44a4-b000-18e111519696 · inbound

Cross-Attention End-to-End ASR for Two-Party Conversations cites this paper.

Cross-Attention End-to-End ASR for Two-Party Conversations Improved training of end-to-end attention models for speech recognition

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-24T16:26:15.856159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-24T16:26:01.154655Z digest=sha256:501719bb7cd1b67835965e8f1062e4ddeca97786c9ff671ec93cd8ec33abe337

Observation 6c0d9ae5-2886-4d67-ae31-f95a027d22a4 · inbound

IMS-Speech: A Speech to Text Tool cites this paper.

IMS-Speech: A Speech to Text Tool Improved training of end-to-end attention models for speech recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T13:36:26.078419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:36:26.078419Z digest=sha256:d6160c329bb5c67d63fcfc937f5d979f69404c57d4e189e6b1784198b09e4b2f

Observation 2e8fc9bb-f19f-4b15-9a50-510497bc4e36 · inbound

Survey on Deep Neural Networks in Speech and Vision Systems cites this paper.

Survey on Deep Neural Networks in Speech and Vision Systems Improved training of end-to-end attention models for speech recognition

Reference 133

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:10.242469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:10.242469Z digest=sha256:9258bf0233db24bbda529ed114af2f4e838aee935ccffe860df3417f9e360b36

Observation ba1b3eb5-9c22-4070-8a48-9edba2ccbff8 · inbound

Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network cites this paper.

Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network Improved training of end-to-end attention models for speech recognition

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:59.735621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:59.735621Z digest=sha256:b220fe39fd42188970d554330c08ab7f52be7c0c074b6e7e28a0eeb7b957b4ef