Paper Citation Record · LEDGER

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information

As of 23 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 7 inbound Pith citation observations for arXiv:2505.13237.

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

pith.paper-citation-record.v1
2505.13237 v3

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:32.396611Z

measured 61 of 61 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:32.201734Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T19:35:32.876839Z

Reference resolution

54 of 54 outbound references displayed

verified exact0
verified fuzzy36
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 220f6e95-2554-4342-a9f0-7f49053abf4f · outbound

This paper cites What is the animal in the sound ?.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information What is the animal in the sound ?

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:33.022387Z

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 4c13b9ac-25c0-4f0a-bd63-731527226b1c · outbound

This paper cites SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.201734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eccb163-3f2e-479e-9430-beed7a69738a · outbound

This paper cites determining the age of the speaker.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information determining the age of the speaker

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:33.011252Z

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 1596be03-4632-424f-b663-cb13a911e7bf · outbound

This paper cites the association of animals and human personality.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information the association of animals and human personality

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:33.000596Z

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 82f54d82-16b2-4222-89d6-f98e324e0b4f · outbound

This paper cites feeding habits.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information feeding habits

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.988792Z

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 f2cfe7c5-c50a-40c3-b6b2-1d20fc7625a1 · outbound

This paper cites Evaluation metrics Since SAKURA comprises multiple-choice questions, accu- racy is a natural metric.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Evaluation metrics Since SAKURA comprises multiple-choice questions, accu- racy is a natural metric

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.976646Z

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 5ce3c14d-5bfe-47bf-b6a8-5a63ee1d856e · outbound

This paper cites an unresolved cited work.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:21:32.965380Z

Source-reported events for the cited work

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Observation 6dab4d2d-dd47-4a2f-be37-b6af1cd00e5d · outbound

This paper cites an unresolved cited work.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:21:32.954893Z

Source-reported events for the cited work

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Observation 1a8ee3e0-e0f2-4b28-aa05-d75b5b37716c · outbound

This paper cites cor- rect/incorrect.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information cor- rect/incorrect

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.944431Z

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 9304f2e5-aa61-4d2d-96c4-fe957780d27c · outbound

This paper cites The animal making the sound is cat.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information The animal making the sound is cat

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.933058Z

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 08e88832-d58e-4cf7-984d-c1aec4d716a8 · outbound

This paper cites Our findings show that LALMs struggle to recognize certain speech and audio attributes, exhibiting perception blind spots.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Our findings show that LALMs struggle to recognize certain speech and audio attributes, exhibiting perception blind spots

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.922456Z

Source-reported events for the cited work

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Observation 69d419af-1c17-42e5-af17-106368558be4 · outbound

This paper cites an unresolved cited work.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:21:32.910134Z

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 df627084-5ec7-434e-a390-38670676510a · outbound

This paper cites The Llama 3 Herd of Models.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information The Llama 3 Herd of Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.245573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6208b81-601c-478c-b1d4-d26fe7ea1830 · outbound

This paper cites GPT-4o System Card.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information GPT-4o System Card

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.249490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c6f9ea-5555-49d5-ace0-e900c99a6281 · outbound

This paper cites Vipergpt: Visual inference via python execution for reasoning,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Vipergpt: Visual inference via python execution for reasoning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.899629Z

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 584c2320-3e69-40db-864e-55828a41fcb6 · outbound

This paper cites Audiogpt: Understanding and generating speech, music, sound, and talking head,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Audiogpt: Understanding and generating speech, music, sound, and talking head,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.889553Z

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 ffa26111-18b8-4810-ade7-d37de708f3e3 · outbound

This paper cites Speech-copilot: Leveraging large language models for speech processing via task decomposition, modular- ization, and program generation,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Speech-copilot: Leveraging large language models for speech processing via task decomposition, modular- ization, and program generation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.879308Z

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 18f55ae7-869c-41bd-987f-b7223f036914 · outbound

This paper cites Visual instruction tuning,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Visual instruction tuning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.867915Z

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 1ea6430a-1dc2-4c33-a0ae-dfae28f764c7 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.269489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ead504f-3ed8-40ec-b36b-c322eda65934 · outbound

This paper cites Joint audio and speech understanding,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Joint audio and speech understanding,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.857566Z

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 30b44235-586e-4815-9852-dda99f3f0037 · outbound

This paper cites GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.277711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c815fee-4775-487b-aa1b-e3a98d4600b0 · outbound

This paper cites SALMONN: Towards generic hearing abilities for large language models,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information SALMONN: Towards generic hearing abilities for large language models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.847207Z

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 37ec7eed-b848-4949-b7bc-98b3b8f1c52a · outbound

This paper cites DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.285531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bec010cc-24e9-4668-a73d-521798b53e67 · outbound

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

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.289365Z

Source-reported events for the cited work

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Observation ed537ded-5d6c-4063-8574-f63aa56d655c · outbound

This paper cites Qwen2-Audio Technical Report.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Qwen2-Audio Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.293038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acea8f48-0190-4efc-a583-0b575169e643 · outbound

This paper cites A peek into token bias: Large language models are not yet genuine reasoners,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information A peek into token bias: Large language models are not yet genuine reasoners,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.835964Z

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 1ca49faf-2d01-4ddc-bd12-72af4a3160fa · outbound

This paper cites Large language models cannot self-correct rea- soning yet,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Large language models cannot self-correct rea- soning yet,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.824357Z

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 4ce53e49-17c5-42aa-baec-6e1d331cd2b6 · outbound

This paper cites Premise order matters in reasoning with large language models,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Premise order matters in reasoning with large language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.813640Z

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 fd902063-b37b-4816-8200-0e012c9486ff · outbound

This paper cites Measuring and narrowing the compositionality gap in language models,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Measuring and narrowing the compositionality gap in language models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.802918Z

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 f55d04c0-601c-471e-8634-704944054c43 · outbound

This paper cites Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.311200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14ebca65-3274-46b8-8230-00a8ca8696a1 · outbound

This paper cites Do large language models latently perform multi- hop reasoning?.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Do large language models latently perform multi- hop reasoning?

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.792689Z

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 dc7deb39-27c9-4983-a7a3-28c91a14cc9f · outbound

This paper cites Hopping too late: Exploring the limitations of large language models on multi-hop queries,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Hopping too late: Exploring the limitations of large language models on multi-hop queries,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.782218Z

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 690ccb98-c203-4867-92e7-db237b0abe5d · outbound

This paper cites Investigating multi-hop factual shortcuts in knowl- edge editing of large language models,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Investigating multi-hop factual shortcuts in knowl- edge editing of large language models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.771545Z

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 4f74e161-5e76-42ca-8120-bf4935db7ab3 · outbound

This paper cites Dynamic-SUPERB phase-2: A collabora- tively expanding benchmark for measuring the capabilities of spo- ken language models with 180 tasks,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Dynamic-SUPERB phase-2: A collabora- tively expanding benchmark for measuring the capabilities of spo- ken language models with 180 tasks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.760585Z

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 ff81b993-a8ad-474c-a1c7-2d8a2c985df9 · outbound

This paper cites AIR-bench: Benchmarking large audio-language models via generative comprehension,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information AIR-bench: Benchmarking large audio-language models via generative comprehension,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.749575Z

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 9152f3d8-54dd-47f5-a434-86ff5ecfad57 · outbound

This paper cites Advancing large lan- guage models to capture varied speaking styles and respond prop- erly in spoken conversations,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Advancing large lan- guage models to capture varied speaking styles and respond prop- erly in spoken conversations,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.738002Z

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 e669ad24-3ff2-44b0-81f0-4f90e32575e1 · outbound

This paper cites Sd-eval: A benchmark dataset for spoken dialogue understanding beyond words,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Sd-eval: A benchmark dataset for spoken dialogue understanding beyond words,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.726406Z

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 5ef16883-0dfa-490d-9617-d2c5201cb568 · outbound

This paper cites Listen and speak fairly: a study on semantic gender bias in speech integrated large language models,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Listen and speak fairly: a study on semantic gender bias in speech integrated large language models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.713188Z

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 3edb1952-9549-45e0-856e-5ed3977b9377 · outbound

This paper cites Spoken stereoset: on eval- uating social bias toward speaker in speech large language mod- els,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Spoken stereoset: on eval- uating social bias toward speaker in speech large language mod- els,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.700574Z

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 08bf72d3-b129-4616-9cc0-4656b2e22f82 · outbound

This paper cites Compa: Addressing the gap in compositional reasoning in audio-language models,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Compa: Addressing the gap in compositional reasoning in audio-language models,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.689090Z

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 b35f9a55-78e8-48fb-bec1-304d13c7d394 · outbound

This paper cites MMAU: A massive multi-task audio understand- ing and reasoning benchmark,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information MMAU: A massive multi-task audio understand- ing and reasoning benchmark,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.677756Z

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 a33989dd-b7a6-4dd9-932a-7e3f33601be1 · outbound

This paper cites Understanding sounds, missing the questions: The challenge of object hallucination in large audio-language models,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Understanding sounds, missing the questions: The challenge of object hallucination in large audio-language models,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.664808Z

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 f02676a3-5c95-494c-aa50-a5f3ec4c02b0 · outbound

This paper cites Common voice: A massively-multilingual speech corpus,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Common voice: A massively-multilingual speech corpus,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.653515Z

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 d3c3a2db-b78c-4f8a-852e-ccb507698131 · outbound

This paper cites Crema-d: Crowd-sourced emotional multimodal actors dataset,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Crema-d: Crowd-sourced emotional multimodal actors dataset,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.641895Z

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 cd4425f2-73e1-4248-b773-d9c702ec0d21 · outbound

This paper cites MELD: A multimodal multi-party dataset for emotion recognition in conversations,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information MELD: A multimodal multi-party dataset for emotion recognition in conversations,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.628960Z

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 15e44130-5b1e-46d9-8302-bf8b0ba04df6 · outbound

This paper cites Emotion detection on tv show transcripts with sequence-based convolutional neural networks,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Emotion detection on tv show transcripts with sequence-based convolutional neural networks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.615043Z

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 e9d44583-5f75-4195-b726-08e7658b512b · outbound

This paper cites Esc: Dataset for environmental sound classifica- tion,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Esc: Dataset for environmental sound classifica- tion,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.371393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1afc1e41-2823-425b-9693-79406bc848b9 · outbound

This paper cites Animal sound classification using a convolutional neural network,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Animal sound classification using a convolutional neural network,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.595626Z

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 32077ba6-b845-44b7-95f0-8bb3e4eb089d · outbound

This paper cites A Survey on LLM-as-a-Judge.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information A Survey on LLM-as-a-Judge

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.378192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e60d6e0-1752-4fc7-8427-acc0c7eef80a · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Robust speech recognition via large-scale weak supervision,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:21:32.582671Z

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 3388e39a-3943-45a1-bfc0-4c41da4c7261 · outbound

This paper cites A Preliminary Exploration with GPT-4o Voice Mode.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information A Preliminary Exploration with GPT-4o Voice Mode

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.385350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2be34161-d75b-4350-bbdb-f542090ae388 · outbound

This paper cites LLaMA-Omni: Seamless Speech Interaction with Large Language Models.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.388918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44c08ff7-7763-4a7c-be55-7f4cba09cb1c · outbound

This paper cites Moshi: a speech-text foundation model for real-time dialogue.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Moshi: a speech-text foundation model for real-time dialogue

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.393008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f223fe9a-a743-4c20-8ed4-c5df12d9007d · outbound

This paper cites Building a Taiwanese Mandarin Spoken Language Model: A First Attempt.

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information Building a Taiwanese Mandarin Spoken Language Model: A First Attempt

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:32.396611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4c13b9ac-25c0-4f0a-bd63-731527226b1c · inbound