Paper Citation Record · LEDGER

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2505.19163.

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

pith.paper-citation-record.v1
2505.19163 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:23:35.655914Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:23:32.410372Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:23:36.508846Z

Reference resolution

36 of 36 outbound references displayed

verified exact4
verified fuzzy19
unresolved11
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0069438-c056-4ec9-8fa0-d5e9d1c9ee54 · outbound

This paper cites SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:23:36.562985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78027502-89f1-4271-a7b6-f45e31841e77 · outbound

This paper cites The dataset consists of questions covering 18 different topics that are culture- and region-specific, as well as everyday questions.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs The dataset consists of questions covering 18 different topics that are culture- and region-specific, as well as everyday questions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:40.940342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 979ac1d4-778b-4aa0-ae13-729e67572607 · outbound

This paper cites answer":.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs answer":

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T14:23:40.754407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44f6ec76-0d10-4558-9e47-b5541b87c865 · outbound

This paper cites What is Doha known for food?.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs What is Doha known for food?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:40.572920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5040a1ad-e0b9-4f34-9591-16c16e18e497 · outbound

This paper cites For SQA, it is particularly important to assess how current LLMs and MLLMs perform under noisy, real-world conditions.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs For SQA, it is particularly important to assess how current LLMs and MLLMs perform under noisy, real-world conditions

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T14:23:40.417599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc0b74ae-7787-4318-9d52-37871b4a55fc · outbound

This paper cites The questions are recorded by L1 speakers for Arabic and L2 speakers for English languages.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs The questions are recorded by L1 speakers for Arabic and L2 speakers for English languages

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:40.245417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation edcc3de4-0326-4aba-b744-4030c04d3320 · outbound

This paper cites GPT-4 technical report,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs GPT-4 technical report,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:33.059749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69a57c65-bfc0-4c43-835a-2f2c27887cb8 · outbound

This paper cites Sparks of artificial general intelligence: Early experiments with GPT-4,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs Sparks of artificial general intelligence: Early experiments with GPT-4,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:39.943802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96e7e579-35d5-4b75-afe1-9baf62a29e81 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:33.314450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ded4bdf-3c9d-43c8-b50a-94332c415665 · outbound

This paper cites A frame- work for automatic generation of spoken question-answering data,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs A frame- work for automatic generation of spoken question-answering data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:39.721625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0665a705-2ca6-42e2-b1ef-0728d20341e1 · outbound

This paper cites LibriSQA: A novel dataset and framework for spoken question answering with large language models,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs LibriSQA: A novel dataset and framework for spoken question answering with large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:39.550718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06448f45-c6d9-4f37-b0f1-6df4934ab44a · outbound

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

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs AudioGPT: Understanding and generating speech, music, sound, and talking head,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:39.378460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4455915b-1b8e-4fcb-afdf-6e078fd22ddb · outbound

This paper cites SpeechGPT: Empowering large language models with intrinsic cross-modal conversational abilities,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs SpeechGPT: Empowering large language models with intrinsic cross-modal conversational abilities,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:39.117315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a756036d-0a90-4522-87b1-2bd3fcaed131 · outbound

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

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:33.763727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9758e2b8-382e-4345-be9b-0970a5209c8d · outbound

This paper cites WavLLM: Towards Robust and Adaptive Speech Large Language Model.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs WavLLM: Towards Robust and Adaptive Speech Large Language Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:33.844445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bf63083-6180-4d07-8c4c-c604ae9b0849 · outbound

This paper cites GhostT5: generate more features with cheap operations to improve text- less spoken question answering,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs GhostT5: generate more features with cheap operations to improve text- less spoken question answering,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:38.901861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6cb822c9-3f5a-4804-b0c9-9f62df2e668c · outbound

This paper cites Spoken SQuAD: A study of mitigating the impact of speech recognition errors on listening comprehension,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs Spoken SQuAD: A study of mitigating the impact of speech recognition errors on listening comprehension,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:33.996906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7363ecd-69e0-4f12-bd9d-823401b0dedb · outbound

This paper cites Zero-Shot End-To-End Spoken Question Answering In Medical Domain.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs Zero-Shot End-To-End Spoken Question Answering In Medical Domain

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:23:36.333462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bbe98f4f-8d93-40d4-8384-f8ed5e8645b0 · outbound

This paper cites HeySQuAD: A Spoken Question Answering Dataset.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs HeySQuAD: A Spoken Question Answering Dataset

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:34.178990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2764f408-e00a-4d34-837f-9c3613ff7927 · outbound

This paper cites CORAAL QA: A dataset and framework for open domain spontaneous speech question answering from long audio files,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs CORAAL QA: A dataset and framework for open domain spontaneous speech question answering from long audio files,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:38.664975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25865476-290c-4229-95bc-b2b46e5d3b3d · outbound

This paper cites Towards Data Distillation for End-to-end Spoken Conversational Question Answering.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs Towards Data Distillation for End-to-end Spoken Conversational Question Answering

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:23:36.111218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7761d35e-6ccc-405c-8875-0d4d32a8df80 · outbound

This paper cites AudioBench: A universal benchmark for audio large language models,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs AudioBench: A universal benchmark for audio large language models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:38.447975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e760b2af-b696-4799-8cb7-c3d8d1e693a6 · outbound

This paper cites Holistic Evaluation of Language Models.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs Holistic Evaluation of Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:34.517834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4033bf-d75f-44bd-968b-dadf3edc9f41 · outbound

This paper cites A multitask, multilingual, multimodal evaluation of ChatGPT on reasoning, hallucination, and interactivity,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs A multitask, multilingual, multimodal evaluation of ChatGPT on reasoning, hallucination, and interactivity,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:38.218237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a23132b5-233d-40de-80ec-d4ebf1c47122 · outbound

This paper cites NativQA: Multilingual Culturally-Aligned Natural Query for LLMs.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs NativQA: Multilingual Culturally-Aligned Natural Query for LLMs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:34.707107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af0ec6cd-1e08-4d7b-8116-d7346eaf2b0a · outbound

This paper cites Fanar: An Arabic-Centric Multimodal Generative AI Platform.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs Fanar: An Arabic-Centric Multimodal Generative AI Platform

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:34.789231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 892e21d0-a2b9-4794-9d49-74c7d1d7b86a · outbound

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

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs Robust speech recognition via large-scale weak su- pervision,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:34.877611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a3f7087-1d59-47da-9598-739e656aeab1 · outbound

This paper cites GPT-4 Technical Report.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs GPT-4 Technical Report

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:34.946398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 243eda01-0773-45e5-b17f-e6b8ce1e57ec · outbound

This paper cites ALLam: Large language models for arabic and english,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs ALLam: Large language models for arabic and english,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:38.043984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d551672-87dd-4c7f-9de7-19202cf1b3d7 · outbound

This paper cites LLMeBench: A flexi- ble framework for accelerating LLMs benchmarking,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs LLMeBench: A flexi- ble framework for accelerating LLMs benchmarking,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:37.824080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c98a056a-febd-491c-91af-5f40e367d3ff · outbound

This paper cites BERTScore: Evaluating text generation with BERT,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs BERTScore: Evaluating text generation with BERT,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:37.521989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8618aeb5-a4f2-4fb6-bf8a-ecbce8e7f085 · outbound

This paper cites AraBERT: Transformer-based model for Arabic language understanding,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs AraBERT: Transformer-based model for Arabic language understanding,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:37.242779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70dc1813-0bff-4346-93c1-f26d8d5d1305 · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language under- standing,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs BERT: Pre- training of deep bidirectional transformers for language under- standing,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:37.041365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f79c3907-8f33-4e9b-8e48-49e349ddf39f · outbound

This paper cites A critical evaluation of evaluations for long-form question answering,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs A critical evaluation of evaluations for long-form question answering,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:36.860342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb3373c2-5927-4b48-b91b-3c8086afbbc4 · outbound

This paper cites Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:23:35.869069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2074e789-39cc-42f6-9d12-8751180a629e · outbound

This paper cites Dual: Discrete spoken unit adaptive learning for textless spoken question answering,.

SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs Dual: Discrete spoken unit adaptive learning for textless spoken question answering,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:23:36.701422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation c0069438-c056-4ec9-8fa0-d5e9d1c9ee54 · inbound