Paper Citation Record · LEDGER

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2607.27109.

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

pith.paper-citation-record.v1
2607.27109 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:59:40.094302Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:59:37.074456Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy0
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4df5a8f2-4c4e-4e81-9671-28d979ddf88d · outbound

This paper cites With the development of AudioLLMs [1, 2, 3, 4], captions are moving from brief descriptions to more open-ended and fine- grained audio understanding.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning With the development of AudioLLMs [1, 2, 3, 4], captions are moving from brief descriptions to more open-ended and fine- grained audio understanding

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:36.924139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33dc2a45-5619-480f-ac5d-a244681dbbe5 · outbound

This paper cites MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:37.074456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ebe64a4-17a9-4994-8ffb-c20251a3a30d · outbound

This paper cites Describe this audio in detail.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Describe this audio in detail

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:37.225892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 457195ae-7de4-477f-90e5-e6c37cf3068f · outbound

This paper cites Fine-grained dimensions are first averaged within each capability category.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Fine-grained dimensions are first averaged within each capability category

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:37.352862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da110d05-a343-443d-accd-34f524c2101f · outbound

This paper cites MMAC comprises 6 capability categories and 15 fine-grained dimensions and evaluates the coverage and cor- rectness of target information in free-form captions.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning MMAC comprises 6 capability categories and 15 fine-grained dimensions and evaluates the coverage and cor- rectness of target information in free-form captions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:37.515614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4538e26d-3de4-4ec6-a8ed-3361f2c1bed4 · outbound

This paper cites Qwen2.5-Omni Technical Report.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Qwen2.5-Omni Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:37.602524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9cb9266-893e-485d-81c3-4b35982de869 · outbound

This paper cites Midashenglm: Efficient audio understanding with general audio captions,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Midashenglm: Efficient audio understanding with general audio captions,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:37.724790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a66660a1-e030-4b13-8f54-1c65590f6c64 · outbound

This paper cites Qwen3.5-Omni Technical Report.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Qwen3.5-Omni Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:37.878210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01bdb891-2d6c-4875-bf15-5b1f57c14925 · outbound

This paper cites Step-Audio 2 Technical Report.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Step-Audio 2 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:38.033277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ca77e76-f96c-4760-9395-668feb1d181b · outbound

This paper cites Wavcaps: A chatgpt-assisted weakly-labelled audio captioning dataset for audio-language multimodal research,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Wavcaps: A chatgpt-assisted weakly-labelled audio captioning dataset for audio-language multimodal research,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:38.202483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc00fe66-ec57-4814-93cc-77dd1b99c26f · outbound

This paper cites Audiocaps: Generating captions for audios in the wild,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Audiocaps: Generating captions for audios in the wild,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:38.365610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0a623c7-9f0c-452c-b461-77f1938847e5 · outbound

This paper cites Clotho: An audio captioning dataset,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Clotho: An audio captioning dataset,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:38.532284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d54386a7-ab99-4a16-9be1-0c793ecfb129 · outbound

This paper cites Mmau: A massive multi-task audio understanding and reasoning bench- mark,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Mmau: A massive multi-task audio understanding and reasoning bench- mark,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:38.649753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fd35f9f-6b1c-412c-88b8-c60e5a01d0c1 · outbound

This paper cites Mmar: A chal- lenging benchmark for deep reasoning in speech, audio, music, and their mix,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Mmar: A chal- lenging benchmark for deep reasoning in speech, audio, music, and their mix,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:38.741274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32a8f721-39f8-4df6-8a9d-2f322c4f6eb2 · outbound

This paper cites Omni- captioner: Data pipeline, models, and benchmark for omni de- tailed perception,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Omni- captioner: Data pipeline, models, and benchmark for omni de- tailed perception,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:38.821754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15e8ee66-d3cb-4d2d-85ab-0b6bb9d42045 · outbound

This paper cites Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:38.877892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50680b97-8baf-4b2d-a749-9cf712a1c33b · outbound

This paper cites Secap: Speech emotion captioning with large language model,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Secap: Speech emotion captioning with large language model,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:38.964974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97cf3800-31bf-44e1-9a05-1fa0d8b901e3 · outbound

This paper cites MMSU: A massive multi-task spoken language understanding and reason- ing benchmark,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning MMSU: A massive multi-task spoken language understanding and reason- ing benchmark,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.052102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c693153-dad8-4601-af31-ad398c47d5ec · outbound

This paper cites Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.136823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f63db418-9cfa-4023-ada0-145a761ef7d2 · outbound

This paper cites speechocean762: An open-source non-native english speech corpus for pronuncia- tion assessment,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning speechocean762: An open-source non-native english speech corpus for pronuncia- tion assessment,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.206954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 415f8c7a-8eaa-4b13-a064-94b4dd13eb7a · outbound

This paper cites Childman- darin: A comprehensive mandarin speech dataset for young children aged 3-5,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Childman- darin: A comprehensive mandarin speech dataset for young children aged 3-5,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.270332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87861c04-79c7-4f37-8865-a0c9a206f123 · outbound

This paper cites Seniortalk: A chinese conversation dataset with rich annotations for super- aged seniors,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Seniortalk: A chinese conversation dataset with rich annotations for super- aged seniors,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.354679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 520b7c69-5b58-4530-9bc9-a26e1c276a85 · outbound

This paper cites Gi- gaspeech: An evolving, multi-domain asr corpus with 10,000 hours of transcribed audio,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Gi- gaspeech: An evolving, multi-domain asr corpus with 10,000 hours of transcribed audio,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.411641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7436b06f-52c5-4b9e-8c40-47e9d1c11b32 · outbound

This paper cites Recent ad- vances in speech language models: A survey,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Recent ad- vances in speech language models: A survey,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.494330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 360e4d38-1518-40b6-8b6a-fa193003d94a · outbound

This paper cites Audio set: An on- tology and human-labeled dataset for audio events,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Audio set: An on- tology and human-labeled dataset for audio events,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.574241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d605888a-3331-46f1-aeb1-23d53d3ffba0 · outbound

This paper cites Esc: Dataset for environmental sound classi- fication,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Esc: Dataset for environmental sound classi- fication,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.640780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 176197ea-f851-4f4e-87f1-1cb4f261c4e7 · outbound

This paper cites Fsd50k: an open dataset of human-labeled sound events,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Fsd50k: an open dataset of human-labeled sound events,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.735325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5547dc01-76ca-49ba-a192-4d64127443e2 · outbound

This paper cites Kespeech: An open source speech dataset of mandarin and its eight sub- dialects,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Kespeech: An open source speech dataset of mandarin and its eight sub- dialects,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.779993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec54b8f-1607-4a82-8cbe-ac8cc6ab211c · outbound

This paper cites Qwen3-Omni Technical Report.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Qwen3-Omni Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.833234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c05541b1-a981-4e64-b355-7a994614cc3a · outbound

This paper cites Coig-cqia: Qual- ity is all you need for chinese instruction fine-tuning,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Coig-cqia: Qual- ity is all you need for chinese instruction fine-tuning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.904828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcbc62df-6379-4001-b08f-c0c8a0356ae0 · outbound

This paper cites Mustard: Mastering uniform synthesis of theorem and proof data,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Mustard: Mastering uniform synthesis of theorem and proof data,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:39.954691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a062c1b-e461-4751-9cf6-359854244a11 · outbound

This paper cites Indextts2: A break- through in emotionally expressive and duration-controlled auto-regressive zero-shot text-to-speech,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning Indextts2: A break- through in emotionally expressive and duration-controlled auto-regressive zero-shot text-to-speech,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:40.019480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a34e2e1-d804-4004-a826-4dbfd3230fec · outbound

This paper cites The problem ofm rankings,.

MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning The problem ofm rankings,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:40.094302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a26f578e-b308-4672-ac91-6103ded435d9 · inbound