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Paper Citation Record · LEDGER

Boosting Large Language Model for Speech Synthesis: An Empirical Study

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.00246.

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

pith.paper-citation-record.v1
2401.00246 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:49:58.106280Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T11:31:16.312008Z

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 155fb418-8a68-457c-bb6c-5f37f863ea2b · inbound

SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation cites this paper.

SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation Boosting Large Language Model for Speech Synthesis: An Empirical Study

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:31:16.319350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:31:16.056352Z digest=sha256:9256de1e675f98d1060b9988b92a1f7f4b33c718d9ffd3bd37174d72ba36be44

Observation 93bec0d0-34bb-4c52-845a-a2456af118db · inbound

SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation cites this paper.

SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation Boosting Large Language Model for Speech Synthesis: An Empirical Study

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T20:49:58.106280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:49:58.106280Z digest=sha256:b490b180a1025cf157682f4db6fc55424ce6a0d1cffde9ec8e728e8e6a36f205