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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 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 24 of 24 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 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:41:34.664729Z

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

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Resolution
unresolved
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=sha256:7d536d959e5711d0e2b7ba52e37d43fc1807903e1745e8516720d0ac868f1bbf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:14:29.325515Z digest=sha256:54e6262fdf3938e814ab9e1aeef9459777c397dc824cb79e8d00bd48e3418fee

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:54:32.879235Z digest=sha256:945c828e735ba0f8b5debf272b4262e7b26104f5e1a1d546c3815079aefc72fe

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:7e58b14e2cdc8a9328c2cbd5b0d367873a0fc805d25c1bd471e4c0e3457bbf7f

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T21:49:21.785096Z digest=sha256:2bc6cc309580482c2e4d2c3cf1b9d7d36790dfeb0410383c17e056aa45c9a044

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

Resolution
unresolved
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=sha256:5a765a4d750f92524477a5c9bf47df2aac496d9ad2a327ca8db799e1b3ab62b5

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

Resolution
unresolved
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=sha256:2aaf7c8b85e44f84ce32f87cde578e40685db68ab92a54ecf05f421209e9876d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:44:30.762851Z digest=sha256:efac41232d83ceba007534aaaae028f10a24e2b1ee849ebc9da12398dd990152

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T15:53:54.092426Z digest=sha256:3b304fc9b35e946b0cdedcb7a27335dcb87efa311accb0a7925d2b85db6e2573

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:05:48.624864Z digest=sha256:86c0c18911f0cac4df7a9d2619efbfc834aaeb87d0f22417298e274aa86c5bb7

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

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

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.

source=arxiv_source observed=2026-05-10T01:56:44.270045Z digest=sha256:5f159f403ef426e10ca62788dc0048f214a5dab36846cde6105e2f61ee20e874

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

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

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.

source=pdf_text observed=2026-05-14T19:37:21.180532Z digest=sha256:58f62d89118dd0eab9466d1563155567880e608cefb789bf9619ff1318e30637

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

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

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.

source=pdf_text observed=2026-06-30T21:54:06.330240Z digest=sha256:c85101954c13adef5f9147b17c9772994e6ea88652c1f6148a19a3624b00b776

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T02:52:22.610397Z digest=sha256:6cbbfec0b8e15662716a0cd7e90d4870360579601309987921459bea0133d9b6

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

Resolution
unresolved
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:d672514d0ee681603d22d9daa41527bbfb31d1eb139e91ed7fa3c4fab23d4a2e

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
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T21:35:03.961889Z digest=sha256:38f63029deb2272f36adae6b2fa7750d8d1a61f14cafaf11c90fed90b471ca0e

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

Resolution
unresolved
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=sha256:1b6876238f2afd450b4bdbf2b86575037905fd60cab4308d86a8091d6a48c9e9

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T12:35:08.845406Z digest=sha256:c4fb8bcd02650282e9d38d0b6e706d73b668671dabc756ab029f3e6009d4e425

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T15:10:03.282212Z digest=sha256:20ab554ff4f085275c4c645dbcd787377a184cba14423f158d6ac668d4227984

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

Resolution
unresolved
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=sha256:176b20227f02b74d2b835f6d4d130203441a070174d8ee534b5a3068e7557d4d

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T20:30:11.127007Z digest=sha256:b18dad4697f3a6057e3aa325d60b4a0bdc61f2c31244af03cd20dc2d94d638c2

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

Resolution
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:d7f2b6f3e807c5b7b3997361309a84e55d8f4070b8e38f7cdf36476cfc3b4e42

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

Resolution
unresolved
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=sha256:878872c904f9de8318480abe52bc728240a25017413287b3dbc857455ae2c683

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:13:54.959703Z digest=sha256:b07f37e73f1635cd3093501cd81edf175a449aca64a399bce7949871994d92f9