Paper Citation Record · LEDGER

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models

As of 23 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 4 inbound Pith citation observations for arXiv:2412.05167.

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

pith.paper-citation-record.v1
2412.05167 v2

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:53:10.681790Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:12.508281Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:24:35.251762Z

Reference resolution

11 of 11 outbound references displayed

verified exact0
verified fuzzy3
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8ccd015-e837-4871-9a76-5bb35a117c0c · outbound

This paper cites We appreciate your time and effort in partici- pating in this study.

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models We appreciate your time and effort in partici- pating in this study

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:11.074513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1db526bc-87e2-42c8-bad2-53d5982762ae · outbound

This paper cites A is better.

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models A is better

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:11.037504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e3e444d2-c0a9-40ba-852e-5e9c58f87f9a · outbound

This paper cites MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark.

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:10.645271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89adb4fd-4f07-4c63-a02b-44e82d4610d7 · outbound

This paper cites an unresolved cited work.

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:53:11.090291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8ab8517d-bc42-44cc-9c01-93b15d0a2097 · outbound

This paper cites an unresolved cited work.

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:53:11.056604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb28156c-3e67-48eb-b138-2f4fb4cfa523 · outbound

This paper cites Subsequently, ex- ecute the program code using Python interpreter with public SSML service (Microsoft, 2024) pro- vided by Microsoft Azure to convert them into au- dio dialogues.

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models Subsequently, ex- ecute the program code using Python interpreter with public SSML service (Microsoft, 2024) pro- vided by Microsoft Azure to convert them into au- dio dialogues

Reference 1997

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:11.106748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0ae295c9-41bf-4479-aae0-ab799b626894 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models Measuring Massive Multitask Language Understanding

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:10.626653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10f095be-3b64-441b-b110-ad0967cdc508 · outbound

This paper cites SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks.

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:10.650759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d150f030-b837-4821-8f59-c76ffc979347 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:10.620003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17334790-c2f5-4f7f-8e38-288ed26b678f · outbound

This paper cites Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations.

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:10.638788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1fd55b5-0446-419d-bf92-440486ea3842 · outbound

This paper cites arXiv preprint arXiv:2505.17601.

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models arXiv preprint arXiv:2505.17601

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:10.632946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 490ff913-c4ec-4fd1-96d4-77558d9b74cd · inbound

Audio-Language Models for Audio-Centric Tasks: A Systematic Survey cites this paper.

Audio-Language Models for Audio-Centric Tasks: A Systematic Survey Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models

Reference 150

Resolution: unresolved; no resolver link, observed 2026-08-10T14:36:19.874254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a84672c-681c-4ece-a7fe-9c8724723164 · inbound

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models cites this paper.

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models

Reference 134

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:12.508281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de478c3f-6be0-4767-bfbd-9d0a3fde9c88 · inbound

Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models cites this paper.

Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:24:35.328214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7961dba3-6ef1-42e4-b096-8d6194fb3e22 · inbound

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations cites this paper.

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:46.483265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.