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Paper Citation Record · LEDGER

A Case Study on Filtering for End-to-End Speech Translation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.01945.

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

pith.paper-citation-record.v1
2402.01945 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:04:23.120916Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:38:28.987384Z

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 6423c2d7-18e5-47fb-a44a-fbbcc6814f04 · inbound

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian cites this paper.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian A Case Study on Filtering for End-to-End Speech Translation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T13:04:23.120916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:04:23.120916Z digest=sha256:8aa11487b5a77617adff7e630e11e4d0defe65a378740002b477c4f25c140e97

Observation 61f637bd-434f-4940-a114-1ac737bc6fc5 · inbound

Leveraging Audio-LLMs to Filter Speech-to-Speech Training Data cites this paper.

Leveraging Audio-LLMs to Filter Speech-to-Speech Training Data A Case Study on Filtering for End-to-End Speech Translation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:38:28.988926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T07:00:53.430064Z digest=sha256:577df4e6e0b6f115c9610ff009274ada49a959a347ca5d2696db8b405111a789