Paper Citation Record · LEDGER

Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.12786.

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

pith.paper-citation-record.v1
2402.12786 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:12:42.230799Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T05:59:51.182156Z

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 49e7a81f-9f7f-425b-9f8d-373ffda09316 · inbound

Step-Audio 2 Technical Report cites this paper.

Step-Audio 2 Technical Report Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:59:51.184881Z

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.

Observation c9d18b3b-045c-439f-89c4-e4529e4a8c42 · inbound

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models cites this paper.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T22:18:58.424699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 294f0709-7083-4820-8032-f79d87d4813c · inbound

AV-EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Omni-modal LLMS with Audio-visual Cues cites this paper.

AV-EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Omni-modal LLMS with Audio-visual Cues Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T11:06:45.730320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 991d99f4-2251-499d-9790-c504723678a6 · inbound

Character Beyond Speech: Leveraging Role-Playing Evaluation in Audio Large Language Models via Reinforcement Learning cites this paper.

Character Beyond Speech: Leveraging Role-Playing Evaluation in Audio Large Language Models via Reinforcement Learning Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:25:30.081375Z

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.

Observation 8cac6bd0-c1bc-4bf6-8b32-02864f55f387 · inbound

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment cites this paper.

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T07:12:10.622660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ca5c885-2b36-49da-8cb2-dbfd8033bd04 · inbound

MERaLiON-GR: Speech Gender Recognition Model for English and SEA Languages cites this paper.

MERaLiON-GR: Speech Gender Recognition Model for English and SEA Languages Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:12:42.230799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.