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Paper Citation Record · LEDGER

Large-Scale Streaming End-to-End Speech Translation with Neural Transducers

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2204.05352.

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

pith.paper-citation-record.v1
2204.05352 v2

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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:31:04.798576Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e3b33054-462c-4548-9833-e8fbd02426cd · inbound

Streaming Speaker Change Detection and Gender Classification for Transducer-Based Multi-Talker Speech Translation cites this paper.

Streaming Speaker Change Detection and Gender Classification for Transducer-Based Multi-Talker Speech Translation Large-Scale Streaming End-to-End Speech Translation with Neural Transducers

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T11:31:04.798576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:31:04.798576Z digest=sha256:39dff9534c43a28cb4e8165a9573364735d81d5ec8a8c8cc971c33b49d92324f

Observation 6f932803-aaed-4d1d-9318-ec47fabbddc3 · inbound

Masked Self-distilled Transducer-based Keyword Spotting with Semi-autoregressive Decoding cites this paper.

Masked Self-distilled Transducer-based Keyword Spotting with Semi-autoregressive Decoding Large-Scale Streaming End-to-End Speech Translation with Neural Transducers

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:19:01.722172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:19:01.722172Z digest=sha256:64f13e794a21a332b28095790ce2c0a2647fcc3d65c6e806ccfe8ccf9008a526

Observation 23b1e48e-a6d6-4095-b25e-8845dd114326 · inbound

PHRASED: Phrase Dictionary Biasing for Speech Translation cites this paper.

PHRASED: Phrase Dictionary Biasing for Speech Translation Large-Scale Streaming End-to-End Speech Translation with Neural Transducers

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:08.050825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:03:08.050825Z digest=sha256:4684d43242095e1d8d142906e65e734b14bda4cddbc6d7c1cd971e7bc7858a19

Observation 85095951-4a55-4231-9567-3c93be094dd4 · inbound

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach cites this paper.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Large-Scale Streaming End-to-End Speech Translation with Neural Transducers

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T06:05:31.096339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:05:31.096339Z digest=sha256:e712b466cdc2dfcca472959862ef063b4d10b7b449f7b0888f49723bb6fcbd9d

Observation 3ebf7727-e482-4ccc-9898-14732c22aa1e · inbound

SimulS2ST-Omni: Data-Efficient Streaming Speech-to-Speech Translation via Explicit Trajectory Supervision cites this paper.

SimulS2ST-Omni: Data-Efficient Streaming Speech-to-Speech Translation via Explicit Trajectory Supervision Large-Scale Streaming End-to-End Speech Translation with Neural Transducers

Reference 205

Resolution
verified exact
local_arxiv, observed 2026-08-01T11:43:22.074392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-01T11:43:06.695123Z digest=sha256:4be40a0b5bc53f09ec96c5cb476625e921a103a20057cd9edd57c7497ae12835