Paper Citation Record · LEDGER

MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2505.13032.

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

pith.paper-citation-record.v1
2505.13032 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 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 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:02:41.013510Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c0ea1ff9-b90e-4dea-b21d-9771092d2392 · inbound

MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks cites this paper.

MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-19T02:41:59.617089Z

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 152eed71-91e6-42da-9dec-b4226d8ff683 · inbound

When Silence Matters: The Impact of Irrelevant Audio on Text Reasoning in Large Audio-Language Models cites this paper.

When Silence Matters: The Impact of Irrelevant Audio on Text Reasoning in Large Audio-Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:11:17.876150Z

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 aa23bad6-c2cb-4114-9261-b27d6cec8f14 · inbound

Robustness assessment of large audio language models in multiple-choice evaluation cites this paper.

Robustness assessment of large audio language models in multiple-choice evaluation MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T11:30:24.529386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f721397d-e7b9-4569-98c5-5247d43af320 · inbound

AQA-TTRL: Self-Adaptation in Audio Question Answering with Test-Time Reinforcement Learning cites this paper.

AQA-TTRL: Self-Adaptation in Audio Question Answering with Test-Time Reinforcement Learning MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T11:23:19.304868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79175ecb-6a78-446b-aaad-b157ba509d01 · inbound

VCB Bench: An Evaluation Benchmark for Audio-Grounded Large Language Model Conversational Agents cites this paper.

VCB Bench: An Evaluation Benchmark for Audio-Grounded Large Language Model Conversational Agents MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T10:13:42.663241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c171446b-c51c-4493-9a76-50842f872cfe · inbound

Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation cites this paper.

Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T21:06:10.705003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0641492d-ef98-48b5-a9d1-1df261d82689 · inbound

ORCA: Open-ended Response Correctness Assessment for Audio Question Answering cites this paper.

ORCA: Open-ended Response Correctness Assessment for Audio Question Answering MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T19:38:24.214906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 474c89ad-ff40-4a63-afa2-9db29c20e7f5 · inbound

Omni2Sound: Towards Unified Video-Text-to-Audio Generation cites this paper.

Omni2Sound: Towards Unified Video-Text-to-Audio Generation MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:28:10.049255Z

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 6ac55984-e2be-4519-9b7a-c4ef584c94d0 · inbound

AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering cites this paper.

AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:07:58.685833Z

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 8471acb8-d7c3-46b0-a26b-e8b30fd7cbc5 · inbound

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization cites this paper.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.140348Z

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 5c781189-f558-491a-a1d5-8b5e42eafa9b · inbound

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering cites this paper.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:11:01.948269Z

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 78be80f0-2027-42b8-a2c5-09f9b1782fdd · inbound

Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models cites this paper.

Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:28.324307Z

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 bd1e90bb-740a-4a33-983b-3a7427757246 · inbound

Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models cites this paper.

Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T21:18:46.566338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14ffd3cf-7f30-4117-b8fc-8452e52c17f8 · inbound

Qwen3.5-Omni Technical Report cites this paper.

Qwen3.5-Omni Technical Report MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:12:25.528544Z

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 d36301f1-b210-4179-b7d9-79d79e33735f · inbound

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models cites this paper.

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:41:26.472451Z

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 4a92f963-fa4a-4ffd-bede-1c716414a507 · inbound

Task-Aware Answer Preservation under Audio Compression for Large Audio Language Models cites this paper.

Task-Aware Answer Preservation under Audio Compression for Large Audio Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:01:11.809837Z

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 cc39da04-14be-4fa5-b2a3-352957fc7b32 · inbound

Towards Fine-Grained Multi-Dimensional Speech Understanding: Data Pipeline, Benchmark, and Model cites this paper.

Towards Fine-Grained Multi-Dimensional Speech Understanding: Data Pipeline, Benchmark, and Model MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-13T04:07:13.497793Z

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 91a4b310-96d0-4f1a-88dd-ba250d6a20d8 · inbound

ViMU: Benchmarking Video Metaphorical Understanding cites this paper.

ViMU: Benchmarking Video Metaphorical Understanding MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:55:04.098583Z

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 dff1ec23-b6eb-4dae-99cf-683e73bdfa0e · inbound

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook cites this paper.

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 184

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:39:48.796691Z

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 ed348d9c-01ba-4551-b5f0-89b367c0933b · inbound

A Survey of Audio Reasoning in Multimodal Foundation Models cites this paper.

A Survey of Audio Reasoning in Multimodal Foundation Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:09:24.122241Z

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 3946f81a-ca8f-4bb7-9500-2be86240a790 · inbound

EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs cites this paper.

EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:45:45.525920Z

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 106a13cf-e029-45a9-8dbc-0b8c15f6618b · inbound

Escape the Language Prior: Mitigating Late-Stage Modality Collapse in Audio Reasoning via Modality-Aware Policy Optimization cites this paper.

Escape the Language Prior: Mitigating Late-Stage Modality Collapse in Audio Reasoning via Modality-Aware Policy Optimization MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:53:47.543232Z

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 f915d858-d9f7-49f3-9296-81babc305094 · inbound

Audio-Mind: An Auditable Agentic Framework for Audio Understanding cites this paper.

Audio-Mind: An Auditable Agentic Framework for Audio Understanding MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:13:17.578490Z

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 69d7a8f7-47e5-4d33-b6c2-5d1e157bf6b8 · inbound

A Unified and Reproducible Experimentation Framework for Speech Understanding cites this paper.

A Unified and Reproducible Experimentation Framework for Speech Understanding MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:16:12.221545Z

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 09b4c3d6-a41a-4c77-866a-a0fc1bb40cae · inbound

PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects cites this paper.

PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:52:27.046974Z

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 c1785c1d-8c56-4343-a04d-f990d3fcfe49 · inbound

MOSS-Audio Technical Report cites this paper.

MOSS-Audio Technical Report MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:56:25.042011Z

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 332d5daa-7dc9-4bb5-82d2-4df03117a0d1 · inbound

VISA: A Visual Information Strengthened Audio-Reasoning System for the Interspeech 2026 ARC Agent Track cites this paper.

VISA: A Visual Information Strengthened Audio-Reasoning System for the Interspeech 2026 ARC Agent Track MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:07:21.343611Z

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 999708c9-b3b1-45c6-9cc8-a69c06fd7859 · inbound

TinyGiantALM: A Compact Audio-Language Model for Intent-Aware Reasoning under Resource Constraints cites this paper.

TinyGiantALM: A Compact Audio-Language Model for Intent-Aware Reasoning under Resource Constraints MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.792398Z

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 ecd17084-6b4e-461d-8879-8a95dce18a54 · inbound

RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark cites this paper.

RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:17:43.948271Z

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 d864592e-ca3e-4336-b532-a45832ade299 · inbound

A Closer Look at Failure Modes in Temporal Understanding of Large Audio-Language Models cites this paper.

A Closer Look at Failure Modes in Temporal Understanding of Large Audio-Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T22:39:01.636822Z

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 1d713cd4-f323-4f0e-af45-1d2104b5379d · inbound

Continuous Audio Thinking for Large Audio Language Models cites this paper.

Continuous Audio Thinking for Large Audio Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:47:17.982073Z

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 5623885a-4d30-45b6-94ec-e4999e929b02 · inbound

From Sounds to Scenes: A Benchmark for Evaluating Context-Aware Auditory Scene Understanding in Large Audio Language Models cites this paper.

From Sounds to Scenes: A Benchmark for Evaluating Context-Aware Auditory Scene Understanding in Large Audio Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:10:07.956816Z

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 4c716412-4af6-47e6-85a1-ce211034605b · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T00:04:22.548282Z

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 7a251b6c-e59c-4191-87b0-26578b22e099 · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-11T07:46:49.059192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7186ecf6-6145-494f-9dab-65ba9f74b0a5 · inbound

Empowering Long-form Omni-modal Understanding with Robust Audio Perception cites this paper.

Empowering Long-form Omni-modal Understanding with Robust Audio Perception MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-14T12:48:58.688011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 845f6050-4f64-412b-ab73-8ac9afaa3b9a · inbound

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models cites this paper.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:02.704210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee5013f1-6efc-402a-b10f-21f3f7de974c · inbound

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering cites this paper.

Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T14:37:31.517268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79395fd8-cb8f-4eb4-a852-a748d76f965b · 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 MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 212

Resolution: unresolved; no resolver link, observed 2026-08-01T07:12:17.865288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e2e166e-f451-4bf5-9455-58dc409ab545 · inbound

Weak-to-Strong On-Policy Distillation cites this paper.

Weak-to-Strong On-Policy Distillation MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 143

Resolution: unresolved; no resolver link, observed 2026-08-01T00:26:31.831014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e2a3dbc-9498-453c-a23b-34a3e2ccf11a · inbound

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models cites this paper.

Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T19:02:41.013510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.