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Paper Citation Record · LEDGER

Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.05706.

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

pith.paper-citation-record.v1
2402.05706 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:40.984202Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:24:23.492246Z

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 38142bf8-5591-46c9-98fd-aaf614f8ae83 · inbound

SALM-Duplex: Efficient and Direct Duplex Modeling for Speech-to-Speech Language Model cites this paper.

SALM-Duplex: Efficient and Direct Duplex Modeling for Speech-to-Speech Language Model Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:40.984202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:40.984202Z digest=sha256:e046fbfa4fbcd73874327d0a5102f485cd03502bbfc2dea6a3d8245ec61fa59c

Observation 87aa7824-7b99-471b-86b6-de5acded7abb · inbound

TESU-LLM: Training Speech-LLMs Without Speech via Unified Encoder Alignment cites this paper.

TESU-LLM: Training Speech-LLMs Without Speech via Unified Encoder Alignment Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:42.752950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:58:42.752950Z digest=sha256:a28aaec90186535ca2ac4ce776a26b0fbbb82780f0302e3d071cd2d4883c6e59

Observation bef2c03f-f361-427e-9ba4-babeb15eb999 · inbound

Enhancing Speech Large Language Models through Reinforced Behavior Alignment cites this paper.

Enhancing Speech Large Language Models through Reinforced Behavior Alignment Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:24:23.493798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T22:23:52.392075Z digest=sha256:e46a4b3dd48b0c665b31cc29f95a1fb770bf3954575854a8896f655579f984d1