Paper Citation Record · LEDGER

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2506.08967.

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

pith.paper-citation-record.v1
2506.08967 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T05:59:50.900436Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T05:59:51.133845Z

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 77ab2a72-895c-410e-9eb3-653860b0be7d · inbound

Step-Audio 2 Technical Report cites this paper.

Step-Audio 2 Technical Report Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:59:51.136199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ac1ddd35-444d-4687-88c5-1ac7ceb4cc4e · inbound

WavAlign: Enhancing Intelligence and Expressiveness in Spoken Dialogue Models via Adaptive Hybrid Post-Training cites this paper.

WavAlign: Enhancing Intelligence and Expressiveness in Spoken Dialogue Models via Adaptive Hybrid Post-Training Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:10:09.183579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 86c944ae-9249-46eb-8c34-1251a9201072 · inbound

Aligning Language Models for Lyric-to-Melody Generation with Rule-Based Musical Constraints cites this paper.

Aligning Language Models for Lyric-to-Melody Generation with Rule-Based Musical Constraints Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:41:05.205344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ab9d91c2-f249-4a97-9649-5b3a42591fff · inbound

VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing cites this paper.

VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:50:56.014102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.