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Paper Citation Record · LEDGER

FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2205.12446.

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

pith.paper-citation-record.v1
2205.12446 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:48:38.563634Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:37:34.442695Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 91bdb8e0-65c8-41b7-9f00-2cf0a3ed07e7 · inbound

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR cites this paper.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 36

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no resolver link, observed 2026-08-12T13:48:38.563634Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:48:38.563634Z digest=sha256:7e9b2d31d85fb8bd488b27725ab8f165559e14c7eef99a369e1a2e7a57555ac6

Observation 775a4809-4b6f-4350-8c19-a6515a389042 · inbound

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

2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 2022

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no resolver link, observed 2026-08-11T18:04:14.082404Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:04:14.082404Z digest=sha256:b1eb0995877f68038a733204bc8bb7b11af5d78e0161f4e370e00c651dcc8b8f

Observation 5fa811c8-6691-417f-aa89-8646feb31940 · inbound

Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models cites this paper.

Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 22

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no resolver link, observed 2026-08-11T12:56:13.036672Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:56:13.036672Z digest=sha256:ab9e53fea277470343e74308c35ec10eec4bc47b75b7b5b16cc09075163b931d

Observation 3bfd18b1-a982-4c03-8cf9-2d6629c0ef05 · inbound

Lillama: Large Language Models Compression via Low-Rank Feature Distillation cites this paper.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 12

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no resolver link, observed 2026-08-11T10:26:24.098338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:26:24.098338Z digest=sha256:2dae9b188c23f491db11c59af347ae606116d1ab770ce67580952d9c5605f11f

Observation 6edc091d-4c06-4325-aef1-c506d177465e · inbound

Whisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages cites this paper.

Whisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 21

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no resolver link, observed 2026-08-10T22:54:41.267748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:41.267748Z digest=sha256:63e7ac74e1c10267a1ed723c387b939bc2928e29dd921cb698f61f6b3b255545

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

Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding cites this paper.

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

Reference 11

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:10:04.130795Z digest=sha256:b878df81947cfa7594a91339547b751bd4a882d5c52d72eb1d03fe81308b35d2

Observation ec139348-a02b-4f2a-b567-a19eaf27591d · inbound

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines cites this paper.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 35

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no resolver link, observed 2026-08-10T20:24:34.019725Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.019725Z digest=sha256:181b4bae6550471c7d0a5a6ca8e5aa8516f590486e22f7f4cf88fa0f1679ce81

Observation 5637577b-5eb4-4af3-aed5-ce92a2e3cbf4 · inbound

HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding cites this paper.

HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 14

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no resolver link, observed 2026-08-10T14:40:55.195830Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:55.195830Z digest=sha256:d93d48c1a123906ac3f88f105c0c52c685892ec06be8bfaa5658d9558af40faa

Observation b4d8a558-de93-4a17-a722-b3b46e2cda41 · inbound

TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation cites this paper.

TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 15

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no resolver link, observed 2026-08-07T14:42:05.292113Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:42:05.292113Z digest=sha256:7d4658fdf0b0488ffc87a31449cc5ca8ec4b73067e9d6735140c7bd44ec25438

Observation 8831570c-9f43-4ccf-bf00-09910a2d9c68 · inbound

Improving Language and Modality Transfer in Translation by Character-level Modeling cites this paper.

Improving Language and Modality Transfer in Translation by Character-level Modeling FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 11

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no resolver link, observed 2026-08-07T12:35:25.945196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:25.945196Z digest=sha256:bed50ad895f34bc4472212a4904137c5168a711757db25e827db01ad0c74c4cd

Observation 7ee4bfd6-b237-46f0-82fe-4747c7b343b2 · inbound

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity cites this paper.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 10

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no resolver link, observed 2026-08-07T11:37:29.411137Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:29.411137Z digest=sha256:3ffc522287cecd47e3c416fd24c8497942beb4827babbff6dd829d99aab50c1c

Observation c2895bc3-dd03-4a37-8cf1-82d9040065fc · inbound

A2TTS: TTS for Low Resource Indian Languages cites this paper.

A2TTS: TTS for Low Resource Indian Languages FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 6

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no resolver link, observed 2026-08-06T15:41:34.664729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:41:34.664729Z digest=sha256:006f157d6a35ad0eaefea18637e8f133af40bcab23aa20bfaecc2777e29b7a5a

Observation 3c674f5f-94d6-4e13-8644-be859c9f748b · inbound

Technical report: Impact of Duration Prediction on Speaker-specific TTS for Indian Languages cites this paper.

Technical report: Impact of Duration Prediction on Speaker-specific TTS for Indian Languages FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 9

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no resolver link, observed 2026-08-06T15:14:29.325515Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:14:29.325515Z digest=sha256:da8514c2e37d312c443308a13c92ae49e78dd22c46f14a57e6bf7dba6e114ff3

Observation 4b6359f2-6a4b-4e50-976b-e496ca09749d · inbound

Improving French Synthetic Speech Quality via SSML Prosody Control cites this paper.

Improving French Synthetic Speech Quality via SSML Prosody Control FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 6

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no resolver link, observed 2026-08-05T16:54:32.879235Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:54:32.879235Z digest=sha256:5feac3cd15732453ebcf4e784d0eb5247213cf346204189d997d19f798bc6903

Observation de6847ad-3c01-4237-aed6-52f5a23364f3 · inbound

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages cites this paper.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 11

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arxiv_id, observed 2026-05-17T03:18:57.198237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:7cc99692427aa9deab7e0ae708cba5b5d3749299e4f7765cefd43f8dbd901108

Observation f47c68f1-7d4f-4085-afb9-b4dd2c8aedce · inbound

Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs cites this paper.

Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 22

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arxiv_id, observed 2026-05-16T21:51:17.797958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T21:49:21.785096Z digest=sha256:8d52b56441d9f543287a6b135510b100c0eee477bbfcdba7483e4ac4b46c3778

Observation 98e7d417-f76a-4920-b990-0765c66a7a23 · inbound

FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation cites this paper.

FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 7

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no resolver link, observed 2026-08-03T12:01:59.543761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:01:59.543761Z digest=sha256:b0484b42cdd6d2f6d91ab5daf42e0a142926118a08895053767ad02a16727e03

Observation a359ee39-045e-4391-90ac-d2c9dfef6e8f · inbound

A Semi-spontaneous Dutch Speech Dataset for Speech Enhancement and Speech Recognition cites this paper.

A Semi-spontaneous Dutch Speech Dataset for Speech Enhancement and Speech Recognition FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 72

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no resolver link, observed 2026-07-15T00:03:31.986628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T00:03:31.986628Z digest=sha256:37c26853a3c5fe5e5b32bd16f9bab661332003ecb1dffd23d0af4be0a9ca49e9

Observation 3c5020b0-ccdd-4bc9-ae71-87a0209c184a · inbound

Benchmarking Multilingual Speech Models on Pashto: Zero-Shot ASR, Script Failure, and Cross-Domain Evaluation cites this paper.

Benchmarking Multilingual Speech Models on Pashto: Zero-Shot ASR, Script Failure, and Cross-Domain Evaluation FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:35:48.735609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T19:44:30.762851Z digest=sha256:2401794c97ccfc771eb928b7ab5c75a0bfe9b8430e5755b6973be39bb1c4d09a

Observation f2e50f6c-090e-44e6-a174-a2753e2fba7c · inbound

BlasBench: An Open Benchmark for Irish Speech Recognition cites this paper.

BlasBench: An Open Benchmark for Irish Speech Recognition FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 7

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verified exact
arxiv_id, observed 2026-05-11T09:41:01.686680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:53:54.092426Z digest=sha256:12dee420ea6f24fd7e33d271841d23c029def19901b05db5409c7e3088a8bd22

Observation 0b670554-ff01-4049-983c-a55df6dee226 · inbound

UAF: A Unified Audio Front-end LLM for Full-Duplex Speech Interaction cites this paper.

UAF: A Unified Audio Front-end LLM for Full-Duplex Speech Interaction FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 7

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arxiv_id, observed 2026-05-11T12:46:02.907523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T03:05:48.624864Z digest=sha256:fb5f5b8cf02b22cc3db70ee0cd7c700ed0878951258b2ef943d61fcc6ac96fca

Observation f41d2b04-5582-4c5f-baab-9aa025c9e7c3 · inbound

Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps cites this paper.

Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 7

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arxiv_id, observed 2026-05-11T13:21:04.999089Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T01:56:44.270045Z digest=sha256:e1728a733260fdd44b3d34498196cfcad8200f8d6419d27c95029f9907d4e237

Observation 7675bf7d-1c01-4393-920c-9b7726f32a76 · inbound

Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition cites this paper.

Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 25

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verified exact
arxiv_id, observed 2026-05-14T19:37:51.725042Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T19:37:21.180532Z digest=sha256:a38c312cbffe687bfab76c94d679b08f1977c2507fa1c3061bf5ca072e2e41ad

Observation f68da92d-ff51-4373-9c11-d06c92d07b0f · inbound

Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition cites this paper.

Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 25

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arxiv_id, observed 2026-06-30T21:55:05.379459Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:54:06.330240Z digest=sha256:f91032cbe92aabec7e0e2cfd722209d75fef3636b774d2ef33876e2abdf13d14

Observation 49a49c25-9c27-466e-ae3e-3b83d2481bb9 · inbound

StepAudio 2.5 Technical Report cites this paper.

StepAudio 2.5 Technical Report FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 34

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arxiv_id, observed 2026-05-25T02:55:16.447086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T02:52:22.610397Z digest=sha256:09f9cbbc13dedc030c0f66870c8113a228157d5f79d41ae0d7766f3ff6192d32

Observation ba3153f9-1fff-43e4-b91e-ca22e7eeda19 · inbound

Raon-Speech Technical Report cites this paper.

Raon-Speech Technical Report FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 8

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no resolver link, observed 2026-07-13T08:22:44.347941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T08:22:44.347941Z digest=sha256:256e78ddd1ad34a5ac1d4f90c5cde442245ff5daf01ff322b13ea17d33838e76

Observation 499d8a2b-4a8d-4b5e-8845-cc7f2a431d92 · inbound

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models cites this paper.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 34

Resolution
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arxiv_id, observed 2026-06-29T21:43:59.729604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T21:35:03.961889Z digest=sha256:1fb4685a0f540e9c76fae76e7a44193255788e050532e3f276ebed718877f1dc

Observation aede9838-eb4c-4e07-8eda-5847a892c127 · inbound

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models cites this paper.

Multilingual Phonological Feature Recognition with Self-Supervised Speech Models FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 34

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no resolver link, observed 2026-08-04T05:02:46.329258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:02:46.329258Z digest=sha256:79442300aebbc6a3398232ea32419b8fb29f18d1bc2a2f344ea7d799abf64b34

Observation 336777c9-5e30-488c-a644-23d88ad7bc59 · inbound

When Helpful Context Leaks: Privacy Risks in Domain-Adapted ASR cites this paper.

When Helpful Context Leaks: Privacy Risks in Domain-Adapted ASR FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 1

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verified exact
arxiv_id, observed 2026-06-29T12:43:25.969323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T12:35:08.845406Z digest=sha256:03eb3e7cfc9884d8dc060aa6171f96be4a31545e69888b78e650a8a2b3f2c82c

Observation 88655144-e28f-404b-8213-18b620ead68a · inbound

Factors affecting ASR performance: A study using state of the art ASR models in Indic Languages cites this paper.

Factors affecting ASR performance: A study using state of the art ASR models in Indic Languages FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 33

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verified exact
arxiv_id, observed 2026-07-03T03:37:35.500051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T15:10:03.282212Z digest=sha256:9419f73b612070a7b29ef6ce8ffd8a378c2e145da33ac60cf2083cd764c52e31

Observation bab88ca9-b577-4721-8e2b-fbe6da7cfdfa · inbound

Listen, Think, Transcribe: Continuous Latent Test-Time Scaling for ASR cites this paper.

Listen, Think, Transcribe: Continuous Latent Test-Time Scaling for ASR FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 23

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no resolver link, observed 2026-07-11T09:35:44.381743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:35:44.381743Z digest=sha256:093a8266ac9e3933ab93856173277160a863128648e96f945dfa326affd0c88e

Observation fb2b9101-cb2b-4880-9cb4-6c6957330305 · inbound

Compress the Cache, Not the Speech Embedding: KV Compression for Efficient Speech LLMs cites this paper.

Compress the Cache, Not the Speech Embedding: KV Compression for Efficient Speech LLMs FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 49

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verified exact
local_arxiv, observed 2026-07-10T20:37:34.444265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T20:30:11.127007Z digest=sha256:4b79a233f43e93fa4dff47430d4abd2461c42bb87969efb3b89382f4a3e8aee2

Observation b9f8c728-53b6-43b0-8ad9-6951928f0dd8 · inbound

X-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System cites this paper.

X-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 19

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unresolved
no resolver link, observed 2026-08-01T17:45:41.785420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:45:41.785420Z digest=sha256:d02067f889b5ffafbc70aca3229ab358c251b5c530e80c1c3e357dfe30742f74

Observation c1eec3a5-1a28-4ebe-9e99-2a11e7f5e83a · 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: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 43

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no resolver link, observed 2026-08-01T05:50:31.979267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:50:31.979267Z digest=sha256:71423f53d3e78f2b0b172731e5678d3f9aeeb901012ca5a5ceb40f255a506041

Observation 0a00891e-d3f5-4e73-b27d-8578017b231d · inbound

ParaASR: Multi-Token Prediction for Fast and Long-Context LLM-Based Speech Recognition cites this paper.

ParaASR: Multi-Token Prediction for Fast and Long-Context LLM-Based Speech Recognition FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T10:13:54.959703Z

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source=pdf_text observed=2026-08-03T10:13:54.959703Z digest=sha256:260d0912b1352c4d6fa957675e72f8ff9ce1a51ee22b6a0c825446cb5b3f64b3

Observation be7e8183-8dd7-4496-8cf1-b13891e985a4 · inbound

myMediWhisper: Construction of Burmese Medical Speech Corpus and Whisper Fine-Tuning for Clinical Dialogue ASR cites this paper.

myMediWhisper: Construction of Burmese Medical Speech Corpus and Whisper Fine-Tuning for Clinical Dialogue ASR FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T11:39:37.418590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:39:37.418590Z digest=sha256:f801c4342db3f1d84de015e16396db5fc9b40236d168362afebe2998c6f48ca5