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Paper Citation Record · LEDGER

Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.03668.

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

pith.paper-citation-record.v1
2312.03668 v2

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:58:16.309493Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T11:24:16.708199Z

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 becb228d-93e6-4da0-9330-9a3a47da5701 · inbound

Aligning Pre-trained Models for Spoken Language Translation cites this paper.

Aligning Pre-trained Models for Spoken Language Translation Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:24:16.716290Z

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=arxiv_source observed=2026-08-12T11:24:15.758848Z digest=sha256:abb26619e5c56e748e814ebd1d4bc519fd589b94d8f863cb3ecf67ea6bbe8ce5

Observation 7bd240eb-5da6-43e9-9cd4-b4e9ad8f0f53 · inbound

LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors cites this paper.

LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:16.309493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:58:16.309493Z digest=sha256:4e1e1aa7b1d9042b335f9448f3c1a744509fa1aa993f930f0842565a41186c46