Pith. sign in

Paper Citation Record · LEDGER

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 3 inbound Pith citation observations for arXiv:2501.06117.

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

pith.paper-citation-record.v1
2501.06117 v3

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:10:04.285621Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:17:22.973784Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:17:24.541325Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact2
  • verified fuzzy7
  • unresolved17
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 910f2f5d-4f51-4429-ba52-b401da09089b · outbound

This paper cites write newline.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.016282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.016282Z digest=sha256:e90c677364d48a5909fe41dbdc6c6bcd531958a944088b0eeaa9045af79d98b9

Observation bf7aa5d4-4948-484b-baad-2a1f995c1b1f · outbound

This paper cites SIB -200: A simple, inclusive, and big evaluation dataset for topic classification in 200+ languages and dialects.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding SIB -200: A simple, inclusive, and big evaluation dataset for topic classification in 200+ languages and dialects

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:10:05.442657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T21:10:04.038911Z digest=sha256:401c8c2a31fe129ef29a87bc14fc58fb147c2a35ce0fb46b998cdaf048a7d374

Observation b985a791-5a53-48a0-9756-835f1e97be39 · outbound

This paper cites Introducing meta llama 3, 2024.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding Introducing meta llama 3, 2024

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:10:05.418280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T21:10:04.058327Z digest=sha256:30201fae637ef6c403c37ab5e0c5bff40352acf8a8fc903ef646a97910a508d3

Observation 658beea7-c5f6-4657-8a35-758c6a4fce5e · outbound

This paper cites wav2vec 2.0: a framework for self-supervised learning of speech representations.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding wav2vec 2.0: a framework for self-supervised learning of speech representations

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:10:05.382265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T21:10:04.073148Z digest=sha256:ebe48680e876c43cb9eca2d744383b19878cca880980ba19e9f6286fea78ea62

Observation 00d773f3-783b-40a6-9d5e-4c81af4e6cae · outbound

This paper cites The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.081234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.081234Z digest=sha256:fe6419c3ee4a8413c04476c8de5a71d538069b19ca4cb2795717b1b3000567ce

Observation 2589c377-f694-4352-b898-b5b08701db0d · outbound

This paper cites The belebele benchmark: a parallel reading comprehension dataset in 122 language variants.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding The belebele benchmark: a parallel reading comprehension dataset in 122 language variants

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.089841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.089841Z digest=sha256:2decea30af698d4d2a58253130ad83d37b9d860bdf38006f5f63067dd507d6c1

Observation 49a3b84d-2e73-431b-a2c9-8e1d0e363fe4 · outbound

This paper cites LLM2V ec: Large language models are secretly powerful text encoders.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding LLM2V ec: Large language models are secretly powerful text encoders

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:10:05.328473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T21:10:04.099860Z digest=sha256:51fe7f5617829d60c2a8cace1edc55d8b45ff2e1755d21f17e2edd02cf73b7df

Observation 8c210646-8a9f-4d49-afe7-f9f758b91670 · outbound

This paper cites mHuBERT-147: A Compact Multilingual HuBERT Model.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding mHuBERT-147: A Compact Multilingual HuBERT Model

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:10:05.298067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T21:10:04.109234Z digest=sha256:68fc560a50c6af81004fa4ca7c9fcafddc28641d047d00a8bd45e08bfe5d1691

Observation 7fa9716a-4233-4141-9a93-650421c15ae1 · outbound

This paper cites Self-Supervised Speech Representations are More Phonetic than Semantic.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding Self-Supervised Speech Representations are More Phonetic than Semantic

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.115891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.115891Z digest=sha256:512dfc97708b0247b2069d9f61dc4c5cca323a8d6fb2ecf769240e1c5169ea04

Observation e39cfbd3-bab1-4a22-b6bc-ad81f2da689a · outbound

This paper cites SeamlessM4T: Massively Multilingual & Multimodal Machine Translation.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.122975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.122975Z digest=sha256:7680ca0eb237c447f9afc4374463883535047dab366642ab3ee481d8f738df42

Observation 6ba60897-0707-4994-9bfa-8da1648813ca · outbound

This paper cites FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.130795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.130795Z digest=sha256:29beb33232b6499913a44b3359ca5da990f380e1e9ea39d84e26b4dac08b57df

Observation e052aeff-b149-43f7-9322-24cffafca74c · outbound

This paper cites 2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding 2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.140245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.140245Z digest=sha256:67f5d87bc48c05bb9ba4e314412d87e77b0b17833c686ba117f80e91b85072db

Observation 57706fa7-aa67-4582-8b6d-dfb81b2929aa · outbound

This paper cites To translate or not to translate: A systematic investigation of translation-based cross-lingual transfer to low-resource languages.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding To translate or not to translate: A systematic investigation of translation-based cross-lingual transfer to low-resource languages

Reference 13

Resolution
malformed identifier
no resolver link, observed 2026-08-10T21:10:04.146016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.146016Z digest=sha256:21f226b2cac205323b4048904b0be894a9e8f85490911d1bc7c8e3cc1d80deac

Observation 4ffbf190-22d4-47fb-b908-a492cd95b91c · outbound

This paper cites H ow many languages in the world are unwritten? --- web.archive.org.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding H ow many languages in the world are unwritten? --- web.archive.org

Reference 14

Resolution
verified exact
raw_fallback, observed 2026-08-10T21:10:04.885963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T21:10:04.155757Z digest=sha256:bc4bdc165855644792f3e1270253db8a10d485460060caa0f7a0b1a2a6d2c31a

Observation d974a217-fc56-44b0-8d68-cbaafa41746f · outbound

This paper cites S im CSE : Simple contrastive learning of sentence embeddings.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding S im CSE : Simple contrastive learning of sentence embeddings

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.162954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.162954Z digest=sha256:ec399b282f385dade14f3d20885ae0c4f9c2fbfdffc8f694422bd90bbd5647a8

Observation 29d9d8b4-b579-4c99-970d-74dd616410f8 · outbound

This paper cites Multilingual and Cross-Lingual Intent Detection from Spoken Data.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding Multilingual and Cross-Lingual Intent Detection from Spoken Data

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.172701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.172701Z digest=sha256:7ab633d0b6e594a5cfb497cdec5e0c6bdf14519f722933fee4723891a1511169

Observation 0229daa7-b113-4a2e-84f2-c43c92c1f92d · outbound

This paper cites SpeechTaxi: On Multilingual Semantic Speech Classification.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding SpeechTaxi: On Multilingual Semantic Speech Classification

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:10:04.708805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T21:10:04.181978Z digest=sha256:1d171060196dfabc7122c98ecda932b431cdb7a09fcb6ed2cdd76867d8ffa572

Observation efab66c8-b18c-4d19-a827-4f62e3769b78 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.189084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.189084Z digest=sha256:4a4c2076030662ca18b87e052fb47f1f80aebe6eabe7f8dab5e7592ad1d68e32

Observation 53b3505c-8de9-41ed-aad8-06111335c8ea · outbound

This paper cites Decoupled weight decay regularization.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding Decoupled weight decay regularization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.196307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.196307Z digest=sha256:706ff3ca3d9d9423451aa851853412847424a86629972e4c67647c580ac4509c

Observation 3e7c4814-0c94-427a-b2a0-2363f701dc33 · outbound

This paper cites Scaling speech technology to 1,000+ languages.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding Scaling speech technology to 1,000+ languages

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:10:05.245228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T21:10:04.205678Z digest=sha256:0e625207532389e715a72cf92f14db3cefca4b5fca187014b05ee23d1a5199fe

Observation 7fea7ce3-9333-483b-a3cc-2485dfe189bf · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding Robust Speech Recognition via Large-Scale Weak Supervision

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.216311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.216311Z digest=sha256:dbb84e0d894bd444cf236a2f272990c54f15580260f486eecaaff6679ddcd361

Observation c597e911-3afa-4dc3-a627-fdedecea75c0 · outbound

This paper cites Self-distillation for model stacking unlocks cross-lingual NLU in 200+ languages.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding Self-distillation for model stacking unlocks cross-lingual NLU in 200+ languages

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.227356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.227356Z digest=sha256:36ea9b2c7121c3686dc724b6d70fa91e102deb6effa6ab39b7a295e6a1debf69

Observation 6aa5a460-c791-4667-8a84-ef576484e1ca · outbound

This paper cites an unresolved cited work.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:10:05.208957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T21:10:04.236281Z digest=sha256:744b9e1435fa470aaf2f93ba36a85b2a4acf469fdced2b216ad8a200ffdb554d

Observation 9b7c08cc-26e3-45ec-abf0-e373b80bbe2d · outbound

This paper cites an unresolved cited work.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:10:05.176171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T21:10:04.247347Z digest=sha256:7dae88b0af79e6df0137fd79b9db565b8907dd846fe9bb45cba97ac3a02a09d2

Observation 0490469c-95db-40ae-987f-85d160d5e99f · outbound

This paper cites Silero vad: pre-trained enterprise-grade voice activity detector (vad), number detector and language classifier.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding Silero vad: pre-trained enterprise-grade voice activity detector (vad), number detector and language classifier

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:10:05.144161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T21:10:04.261625Z digest=sha256:450013f31f762a5663d2ef12a21ed9dd88fc4fc8ffb508672e5853c5f688d2fa

Observation 26c10c82-d4a2-4885-b3bc-42d05f46e3a3 · outbound

This paper cites @esa (Ref.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding @esa (Ref

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.267506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.267506Z digest=sha256:031dc7f5778eba463c38f26410910128fd9a7c66ba61e3fd9669b3eb2cbf8e4e

Observation d495030f-3c4c-4823-bf0e-b15d7808407d · outbound

This paper cites an unresolved cited work.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:04.278005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.278005Z digest=sha256:619df033abdfbed0a8ff92138b7ee7b99924dedfa810a39843c1ad978c1d03fb

Observation 7a192642-5892-4c6d-a696-0484bad27cdf · outbound

This paper cites w 9^c X AȒYJJ[Ev-ŀ = N O7/W ` g*X5Rq r v^ 91qj_G8 aΧo֫+ `G?o=z?0wmӦE*sަG F , whFƆZ@q TH pE Ť UA r b0 b 6 c3O`룷wWۼ9c &H6e`.

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding w 9^c X AȒYJJ[Ev-ŀ = N O7/W ` g*X5Rq r v^ 91qj_G8 aΧo֫+ `G?o=z?0wmӦE*sަG F , whFƆZ@q TH pE Ť UA r b0 b 6 c3O`룷wWۼ9c &H6e`

Reference 28

Resolution
malformed identifier
no resolver link, observed 2026-08-10T21:10:04.285621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.285621Z digest=sha256:7271d9f4643b9cb9544c390502f4ef5f574fd89ca03af05c6c6bd2f55aa2ace4

Pith citing papers

Observation c905f420-0b80-44ee-ab12-0b9eb08f88d4 · inbound

mSTEB: Massively Multilingual Evaluation of LLMs on Speech and Text Tasks cites this paper.

mSTEB: Massively Multilingual Evaluation of LLMs on Speech and Text Tasks Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:17:22.973784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:17:22.973784Z digest=sha256:9683e7332c3f8504656659c97c2cce889b6e088c026511a737c895815f5f7f98

Observation 000fca85-758d-4ce6-9ecd-4c7acc3626ef · inbound

GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Models cites this paper.

GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Models Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:17:24.542797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T19:51:59.265579Z digest=sha256:9ec0113b94694652427aaeee5dad1a4b1ed71c2bea03b4e6269e74b2e169422b

Observation 096d1a53-debd-46cd-aec5-5b8fde299827 · inbound

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond cites this paper.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-01T05:50:34.032117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:50:34.032117Z digest=sha256:ce7e6762331d66e175a26b13699774107c423e122abf6ee14a272cede1205bc8