Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2508.13992.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T10:13:42.305221Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 3c050704-71de-49be-ad09-3bd994b9a4db · inbound
VCB Bench: An Evaluation Benchmark for Audio-Grounded Large Language Model Conversational Agents MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 630738de-3364-4576-8c49-4a3858100d7a · inbound
ORCA: Open-ended Response Correctness Assessment for Audio Question Answering MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62228609-ff36-4d97-b1fe-632e0f933498 · inbound
Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2c85a7f3-9755-430e-a390-5a9abadc296b · inbound
OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f7cc0b70-022f-4ca1-a213-d6822ddf94b9 · inbound
Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5d451620-3915-40e8-a784-61bf883bc12c · inbound
Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8eaed678-2693-4dd2-91fc-152624e51389 · inbound
VoxSafeBench: Not Just What Is Said, but Who, How, and Where MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a6acffad-05ba-4093-9044-286feb5b7a2b · inbound
HeadRouter: Dynamic Head-Weight Routing for Task-Adaptive Audio Token Pruning in Large Audio Language Models MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2c35ff54-432d-418c-b216-dc49fbaf54a3 · inbound
All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 51ff07d7-eeee-47dc-ac61-93f1c282e891 · inbound
Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f82d1dc7-c589-4291-9b7c-7d3c7c483e3a · inbound
MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d3485401-3041-438b-91fc-3b663a6dcae9 · inbound
MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7bdcc89a-5dfc-409e-8b91-172ad3794571 · inbound
Benchmarking LLMs on the Massive Sound Embedding Benchmark (MSEB) MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation df12a7d6-0bc4-40fa-9432-44a744bc39f7 · inbound
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 195
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0f4e6d22-4ce6-4acd-93b9-ee1fdeeaae7a · inbound
A Survey of Audio Reasoning in Multimodal Foundation Models MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 124
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 01b27112-de83-423d-b388-3ec646801966 · inbound
Raon-Speech Technical Report MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09ccbcf8-05eb-4c71-b591-bc88a95f6dd3 · inbound
Escape the Language Prior: Mitigating Late-Stage Modality Collapse in Audio Reasoning via Modality-Aware Policy Optimization MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 107c5050-9c44-47d3-9984-f432ec791da5 · inbound
Audio-Mind: An Auditable Agentic Framework for Audio Understanding MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d7bcb2bb-69a6-48ba-85d5-6edbed107792 · inbound
MOSS-Audio Technical Report MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b2a49e64-eb0b-47c9-a1cf-8e50004d6314 · inbound
VISA: A Visual Information Strengthened Audio-Reasoning System for the Interspeech 2026 ARC Agent Track MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c9bcd5b7-c3dc-42bb-bed5-7161c73f42ea · inbound
A Closer Look at Failure Modes in Temporal Understanding of Large Audio-Language Models MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bdac4518-886a-45ec-b611-4374ad04782f · inbound
Comparative Reasoning: Making an Audio Language Model Better at Comparing Emotions MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bddd3957-e5ba-4efb-827e-f0128e321565 · inbound
From Sounds to Scenes: A Benchmark for Evaluating Context-Aware Auditory Scene Understanding in Large Audio Language Models MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 244e041f-d3f7-43e2-9324-10d11def72b9 · inbound
Hearing Like Humans? Sound Symbolism and Perceptual Alignment in Speech Language Models MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6725413c-ccf2-44a3-92cf-440a8c763c73 · inbound
Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db2dece3-a474-4384-933b-90fc9997a4e1 · inbound
Audio-Zero: Label-Free Self-Evolution for Fine-Grained Audio Reasoning MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.