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Paper Citation Record · LEDGER

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond

As of 8 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2607.22100.

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

pith.paper-citation-record.v1
2607.22100 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:50:34.137042Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:50:27.017184Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved56
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59b040cc-e033-4129-8e07-11f94da18cb5 · outbound

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

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond

Reference 1

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source=pdf_text observed=2026-08-01T05:50:27.017184Z digest=sha256:e59f9c9da0e09c322d5275442be93f9846e46a227166e2defefc46703ca03bd4

Observation a09b9050-9f83-4460-a937-cf9cd1175eb5 · outbound

This paper cites an unresolved cited work.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-01T05:50:27.157873Z digest=sha256:8713f3d1007ec5ae214bf9ce404ddcae682bd47c5a42873b0de266da802575d3

Observation bf70b551-317a-4fb8-a991-6edce98e61dc · outbound

This paper cites Moreover, we show that new languages can be added using state-of-the-art continual learning methodologies.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Moreover, we show that new languages can be added using state-of-the-art continual learning methodologies

Reference 3

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source=pdf_text observed=2026-08-01T05:50:27.360126Z digest=sha256:34d2ee67af53bf023a0432ac160701c5c34b93c20eef1bc92f3bcac6e77abb87

Observation db0bc7bc-5129-4d1c-86d0-d1ec093c2440 · outbound

This paper cites an unresolved cited work.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-01T05:50:27.238034Z digest=sha256:935f0c754e9a9e43e04e82cb2c1b23107e569299e9f060dbd4e8632661fcfce6

Observation adc94952-0dc7-47e4-bc93-678547d310a4 · outbound

This paper cites an unresolved cited work.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-01T05:50:27.863625Z digest=sha256:b9f91088bb91b502c15a0ba4d05273c7ca0f077956dfc0a721112276fe5e44ec

Observation 3201cdbd-5f65-4409-9be6-6b3cbdeffc66 · outbound

This paper cites Transcribe speech to text.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Transcribe speech to text

Reference 6

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source=pdf_text observed=2026-08-01T05:50:27.472690Z digest=sha256:c0ef580591046dd34fec1812c79d0891060d3f6dea7a671efb68a6065500510c

Observation b5688fe7-2759-40fc-80da-ba2fd1b7eb23 · outbound

This paper cites Mono” refers to a monolingual projector trained on the aforementioned data, “MEUSLI.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Mono” refers to a monolingual projector trained on the aforementioned data, “MEUSLI

Reference 7

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no resolver link, observed 2026-08-01T05:50:27.554355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:50:27.554355Z digest=sha256:99615fc182dc94a027488d8c35c87934f3286099c656c689374a7471a0bf694c

Observation a1250379-46f1-493f-ae0e-0339762d21f9 · outbound

This paper cites an unresolved cited work.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-01T05:50:27.642049Z digest=sha256:d428ce369d35226b02b202e6742dec8e496976e96f184e6f7d0ada2c439dd3f2

Observation 26ed5f1a-dcae-4938-8911-19d38a93e5b8 · outbound

This paper cites Connecting Speech Encoder and Large Language Model for ASR,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Connecting Speech Encoder and Large Language Model for ASR,

Reference 9

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source=pdf_text observed=2026-08-01T05:50:28.909790Z digest=sha256:fa019998d7004196e11c02249273804bd448967cb6485e036be95c7ea046ddc8

Observation eb5c5b5e-d102-4f08-9046-15c92f59ce11 · outbound

This paper cites Unveiling the Potential of LLM-Based ASR on Chinese Open-Source Datasets,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Unveiling the Potential of LLM-Based ASR on Chinese Open-Source Datasets,

Reference 10

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source=pdf_text observed=2026-08-01T05:50:29.062075Z digest=sha256:a30f0c2fe8e8e96c9695bb2b8da64799b96e95e1308cf57b001d2ee4a3b86905

Observation d7d15b5d-c9a8-4e42-91a9-23de18e81448 · outbound

This paper cites Experiments show that this approach extends prior English- only pipelines to multilingual settings with strong performance across high- and low-resource languages.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Experiments show that this approach extends prior English- only pipelines to multilingual settings with strong performance across high- and low-resource languages

Reference 11

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source=pdf_text observed=2026-08-01T05:50:27.934478Z digest=sha256:88b743b4fd5173da463032a90d36f5d8dc2b76a57571bbee2847d4376bb2cc79

Observation ab9d04ea-793e-4b9d-a66a-476dad2757c8 · outbound

This paper cites 101135916).

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond 101135916)

Reference 12

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source=pdf_text observed=2026-08-01T05:50:28.027137Z digest=sha256:88d9d0649aefc101466297f84f3986c30743a0e20da16fc17006c43b7f3a86d6

Observation 6f8e04fa-f156-4b98-b049-84fec91654cb · outbound

This paper cites A survey on speech large language models,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond A survey on speech large language models,

Reference 13

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source=pdf_text observed=2026-08-01T05:50:28.053480Z digest=sha256:102033d69b66f30478ab8da81ec03fc6979d1c6f466079a6f2a222d331ecbfc4

Observation f944d032-18f3-4ff6-b02b-174466d47920 · outbound

This paper cites Large language models are strong audio-visual speech recognition learners,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Large language models are strong audio-visual speech recognition learners,

Reference 14

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source=pdf_text observed=2026-08-01T05:50:28.126711Z digest=sha256:0b8d1451a7d2eade28b1029289db66115fb89bb9fec2406d84ad88e415042f65

Observation eadf26e4-da33-4572-955a-55ef64290ebb · outbound

This paper cites Recent Advances in Speech Language Models: A Survey.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Recent Advances in Speech Language Models: A Survey

Reference 15

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source=pdf_text observed=2026-08-01T05:50:28.242656Z digest=sha256:2a1e15d7c4cac501ce5a45c83a363a6c7ef53f0eeab3131f64973e56d541635f

Observation 2dd9b3de-0f39-4ef1-a3e0-a91f877b90e7 · outbound

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

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 16

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source=pdf_text observed=2026-08-01T05:50:28.388113Z digest=sha256:a04a140946e5fabe68fa38ecd2a27f447df65540c5b58add6fd16b0db6b1440d

Observation f5364833-9266-48f6-9599-dd8789594818 · outbound

This paper cites Qwen2-Audio Technical Report.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Qwen2-Audio Technical Report

Reference 17

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source=pdf_text observed=2026-08-01T05:50:28.458204Z digest=sha256:ea0dff39cd04bee7860a0969ac700ca81a28549a9f0ddc0a5dc5c62126fdb2d1

Observation a9fccdf0-e592-4fae-a756-5b189f4537f9 · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 18

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source=pdf_text observed=2026-08-01T05:50:28.565162Z digest=sha256:e489e8fc6cd4a850d1e5ebd2eecdf1aac2563ad29a0f4c848193ac20779c247f

Observation 809360d3-6ffb-4409-a6c6-00ac8e76d07b · outbound

This paper cites An Embarrassingly Simple Approach for LLM with Strong ASR Capacity.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 19

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source=pdf_text observed=2026-08-01T05:50:28.705395Z digest=sha256:4b0171f8fc932ce37ba77cc4e0f09d775ecd2fd945d47c6ead97db53f5a46dc4

Observation 072b7bb1-1c64-4ee7-b623-6a9d226bf69c · outbound

This paper cites Speech LLMs in Low- Resource Scenarios: Data V olume Requirements and the Im- pact of Pretraining on High-Resource Languages,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Speech LLMs in Low- Resource Scenarios: Data V olume Requirements and the Im- pact of Pretraining on High-Resource Languages,

Reference 20

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source=pdf_text observed=2026-08-01T05:50:28.817543Z digest=sha256:e58b4360d463a411e4dab84c89587323bef1a1a13255c3b855ad1d9792587d5e

Observation a8b7c1f7-6c7f-4beb-9fdd-fed7459c37f7 · outbound

This paper cites Towards atypical speech transcription using LLM-based ASR,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Towards atypical speech transcription using LLM-based ASR,

Reference 21

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source=pdf_text observed=2026-08-01T05:50:30.558269Z digest=sha256:58a2c73128bf783150f8a7ce9bc6353831638c156faeaf6ba6edaa15afdf1453

Observation 90ec98d9-c64f-4af3-96af-c6d1b38be01f · outbound

This paper cites an unresolved cited work.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-01T05:50:27.092024Z digest=sha256:023462acadce361f4ef505fab2352a11901d4d2a18e3bc8f222593950508774f

Observation 3916bcd7-4fb0-4fe8-b128-3047683f9aed · outbound

This paper cites CTC-Assisted LLM-Based Contextual ASR,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond CTC-Assisted LLM-Based Contextual ASR,

Reference 23

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source=pdf_text observed=2026-08-01T05:50:29.158918Z digest=sha256:d7bcfb495152d3d2a709ee78366f999580ee06291b05c3e4129953c50679175f

Observation 76752e1c-3d36-487e-843d-9453b588953d · outbound

This paper cites Advancing Multi-Talker ASR Performance With Large Language Models,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Advancing Multi-Talker ASR Performance With Large Language Models,

Reference 24

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source=pdf_text observed=2026-08-01T05:50:29.331715Z digest=sha256:e1cb07173a4a6f490a051419e04356a988e5ba1e44fd0dcc5ae26a863f688fd2

Observation d152ef72-2846-4c13-b71b-4ce6c5a58b29 · outbound

This paper cites Speech Recogni- tion Meets Large Language Model: Benchmarking, Models, and Exploration,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Speech Recogni- tion Meets Large Language Model: Benchmarking, Models, and Exploration,

Reference 25

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source=pdf_text observed=2026-08-01T05:50:29.482480Z digest=sha256:e5322772149274251c3659517f816afbee68d3e69bb2dd169e8ff777c252c7eb

Observation 459daaf3-3a19-4091-a8cc-2608f1eb74b1 · outbound

This paper cites OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia

Reference 26

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source=pdf_text observed=2026-08-01T05:50:29.618737Z digest=sha256:5e980b45daa84320da34cb094f4349e226c4663a5f7b8a5633623e732fc8f5b6

Observation 298ce39f-5e2c-469f-a5e1-e319c058985a · outbound

This paper cites How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not,

Reference 27

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source=pdf_text observed=2026-08-01T05:50:29.727160Z digest=sha256:89848fffc67ad211ca8291ace4ff576744f72f93130560a07499a314e59e6657

Observation c04d4954-e2e2-4189-8c79-488ebb063c85 · outbound

This paper cites Performance evaluation of slam-asr: The good, the bad, the ugly, and the way forward,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Performance evaluation of slam-asr: The good, the bad, the ugly, and the way forward,

Reference 28

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source=pdf_text observed=2026-08-01T05:50:29.892156Z digest=sha256:8fef7a3da82b5fcdb9e5f3f397d05f5b99c6f49047586624070c05e5385180b7

Observation 9ac006fc-8595-461a-bfdf-77d40a9854fe · outbound

This paper cites Effective Text Adaptation For LLM-Based ASR Through Soft Prompt Fine-Tuning,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Effective Text Adaptation For LLM-Based ASR Through Soft Prompt Fine-Tuning,

Reference 29

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source=pdf_text observed=2026-08-01T05:50:30.010626Z digest=sha256:103bb6b6076450780902f132c37c0e6b069e92d0b32445f7ec5b7c83d1cfcb3a

Observation 5d79487e-ba8d-4f06-a0e8-9ca54ec0ac00 · outbound

This paper cites Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection

Reference 30

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source=pdf_text observed=2026-08-01T05:50:30.126939Z digest=sha256:22e35e698646b958e0dfc3668f14bbdaf28585d48df7a3a1f811a52f57d44a65

Observation ff0027d7-98f4-409b-a49d-822e24ac62de · outbound

This paper cites SALSA: Speedy ASR-LLM Synchronous Aggregation,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond SALSA: Speedy ASR-LLM Synchronous Aggregation,

Reference 31

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source=pdf_text observed=2026-08-01T05:50:30.268909Z digest=sha256:faaaa909dd2e5e6daa371267b528a923f841f6f0400dd78354c4facd5916c966

Observation 51ded4b3-a988-435a-bb47-22b22630227f · outbound

This paper cites Skip-Salsa: Skip Synchronous Fusion of ASR LLM De- coders,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Skip-Salsa: Skip Synchronous Fusion of ASR LLM De- coders,

Reference 32

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source=pdf_text observed=2026-08-01T05:50:30.436914Z digest=sha256:a747984670eedff55b5b30040b94f3349bad047da8b857d9b7dcc704f1016211

Observation cd47a774-9b4b-4ab3-adf0-50f21a022515 · outbound

This paper cites The Applicability of Wav2Vec2 and Whisper for Low-Resource Maltese ASR,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond The Applicability of Wav2Vec2 and Whisper for Low-Resource Maltese ASR,

Reference 33

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source=pdf_text observed=2026-08-01T05:50:32.256005Z digest=sha256:9e9b8437bc43f673e3f1f0e719bdac650b01b1da7d08c0da5bf7eb6e1537fe8f

Observation d50b56bb-d142-4460-b260-609ffde6d173 · outbound

This paper cites Prompt- ing large language models with speech recognition abilities,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Prompt- ing large language models with speech recognition abilities,

Reference 34

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source=pdf_text observed=2026-08-01T05:50:30.726591Z digest=sha256:5b04e7c250e4d834032c3270d3fd54f96c659ec84726cf72891b63f699918057

Observation 0fedc218-b6de-436d-9c47-dda10de0dc31 · outbound

This paper cites Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training,

Reference 35

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source=pdf_text observed=2026-08-01T05:50:30.876860Z digest=sha256:f1f63c953cb59b5f8b314d4ab7c9e80da38ccf78c9647ea1c540ab4afd17da6d

Observation 563880a7-6eac-4736-b176-ff40495804d6 · outbound

This paper cites Language family mat- ters: Evaluating llm-based asr across linguistic boundaries,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Language family mat- ters: Evaluating llm-based asr across linguistic boundaries,

Reference 36

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source=pdf_text observed=2026-08-01T05:50:31.009545Z digest=sha256:f22c0bd2112c5db0d59f59ac615d1e1ae0ea3be1612eedc48fb59fc7a9b3791e

Observation 505db10e-b6b2-4712-b96d-9b6f901a80a9 · outbound

This paper cites Eurollm: Multilingual language models for europe,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Eurollm: Multilingual language models for europe,

Reference 37

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source=pdf_text observed=2026-08-01T05:50:31.126939Z digest=sha256:110c61bcebebc71cd40866f292a56f1cbd0ee7b6c6b9d83690d5ca8f6111b12f

Observation f0bab8dd-ebfc-40e2-aeed-fcfc3f43ab5a · outbound

This paper cites Apertus: Democratizing Open and Compliant LLMs for Global Language Environments,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Apertus: Democratizing Open and Compliant LLMs for Global Language Environments,

Reference 38

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source=pdf_text observed=2026-08-01T05:50:31.209154Z digest=sha256:00c7c719ea5cdbea114df154b25acd70ea1aad90465684c1466c15be47ff5df5

Observation bd3b0f65-abb2-40d9-a21a-b3d74002f0f7 · outbound

This paper cites Performance evaluation of slam-asr: The good, the bad, the ugly, and the way forward,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Performance evaluation of slam-asr: The good, the bad, the ugly, and the way forward,

Reference 39

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source=pdf_text observed=2026-08-01T05:50:31.370457Z digest=sha256:406bcaf3ededfdf51bcdd6ce2e560c9934bed1ea82c4edf25524cbfa7a0ba60e

Observation 202304c9-ff53-4935-96a1-63ac6ff7399e · outbound

This paper cites The Eloquence team submission for task 1 of MLC-SLM chal- lenge,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond The Eloquence team submission for task 1 of MLC-SLM chal- lenge,

Reference 40

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source=pdf_text observed=2026-08-01T05:50:31.532856Z digest=sha256:fb637a78d543c80fa5bc8d3642bef99da20c2ef44db1fcbf13e91604e1f423b1

Observation 2db005b8-ec45-4583-a04a-7abac626706c · outbound

This paper cites Lora: Low-rank adaptation of large language mod- els.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Lora: Low-rank adaptation of large language mod- els

Reference 41

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source=pdf_text observed=2026-08-01T05:50:31.648597Z digest=sha256:58c050997c861c99d82ffa4f16813327d40bd6ff0057486bd8f70ea714c6c024

Observation 527e315a-c091-414d-ace5-e0b31a983857 · outbound

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

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Common voice: A massively-multilingual speech corpus,

Reference 42

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source=pdf_text observed=2026-08-01T05:50:31.816917Z digest=sha256:3c598795b0fd302bf5121e942a0e8ffbb5db133d135f8dd21129337e4afbaff7

Observation c1eec3a5-1a28-4ebe-9e99-2a11e7f5e83a · outbound

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

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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source=pdf_text observed=2026-08-01T05:50:31.979267Z digest=sha256:878872c904f9de8318480abe52bc728240a25017413287b3dbc857455ae2c683

Observation 5d1e5c48-814b-428d-be2d-feb6f5dfbc1d · outbound

This paper cites V oxPopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond V oxPopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation,

Reference 44

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source=pdf_text observed=2026-08-01T05:50:32.148097Z digest=sha256:a5c2e341bb6a9b9bd88b264cd2a32be9800a0f73931d443ffb43fdc0c4ae5608

Observation feb42ea4-632e-4b7a-8154-252079b1e0ea · outbound

This paper cites SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects,

Reference 45

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source=pdf_text observed=2026-08-01T05:50:34.137042Z digest=sha256:a81cb5804282eed3bb157ab3d7cf842115600302b5e26f62094598c0eb12c2a3

Observation 37492081-64a3-4b6c-9853-e878b94c6cdd · outbound

This paper cites Scalable expansion of multilingual speech llms for asr: A continual learning ap- proach,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Scalable expansion of multilingual speech llms for asr: A continual learning ap- proach,

Reference 46

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source=pdf_text observed=2026-08-01T05:50:32.409576Z digest=sha256:a14a3ab4dc1cf6d543a7eafa7dd2de93a8f14c83baf73928d20c28ecfec4ce12

Observation 8c23a924-0341-4b72-8470-31e1a7ba9e5f · outbound

This paper cites Experience replay for continual learning,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Experience replay for continual learning,

Reference 47

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source=pdf_text observed=2026-08-01T05:50:32.509097Z digest=sha256:4fe7790e856a8918c319e33c387cb002bf34e818658076633f189042db9cb55c

Observation 54005f73-950d-4482-949f-32006bb3d331 · outbound

This paper cites SpeechMapper: Speech-to-text Embedding Projector for LLMs,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond SpeechMapper: Speech-to-text Embedding Projector for LLMs,

Reference 48

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source=pdf_text observed=2026-08-01T05:50:32.651941Z digest=sha256:ae958c35320f1b2936ab5b5d43c88af0240b98ab22ed9ec38d1da50421a353f4

Observation 54a9cc29-495c-4032-b13a-1ce228afc967 · outbound

This paper cites Contrastive learning for task- independent SpeechLLM-pretraining,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Contrastive learning for task- independent SpeechLLM-pretraining,

Reference 49

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source=pdf_text observed=2026-08-01T05:50:32.824265Z digest=sha256:1a5df7a0e4b7cba74df12f167c4c4c6e3b10cb000cd6b0239fff31ecc1c29e59

Observation 880c310c-042c-4ad8-9156-cffa1bb9a53f · outbound

This paper cites NA VER LABS Europe Submission to the Instruction-following Track,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond NA VER LABS Europe Submission to the Instruction-following Track,

Reference 50

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source=pdf_text observed=2026-08-01T05:50:33.000649Z digest=sha256:6fa60e9fb34fbbeb80d95d2d02d33bb1eadf791ab8370a472119a2dc8044ed14

Observation 3164b0ab-dd13-4a20-8cfd-bbb3222e56e2 · outbound

This paper cites U-SAM: An Audio Lan- guage Model for Unified Speech, Audio, and Music Understand- ing,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond U-SAM: An Audio Lan- guage Model for Unified Speech, Audio, and Music Understand- ing,

Reference 51

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source=pdf_text observed=2026-08-01T05:50:33.137503Z digest=sha256:6c00bd6ab311355dc976cb3bc0b52c6102bc86ce5e6d079e78c44503561a7753

Observation 1302492f-f91d-49b9-82bd-e80a90afee7b · outbound

This paper cites TESU-LLM: Training Speech-LLMs Without Speech via Unified Encoder Alignment.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond TESU-LLM: Training Speech-LLMs Without Speech via Unified Encoder Alignment

Reference 52

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source=pdf_text observed=2026-08-01T05:50:33.363981Z digest=sha256:bb4e4ab100f14e7adab05fdb1a269f404d4effc3431482a18dffa2640557e04e

Observation ce6639ac-c4b0-49f4-ac17-0acbab58ee9b · outbound

This paper cites Zero-resource speech translation and recognition with LLMs,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Zero-resource speech translation and recognition with LLMs,

Reference 53

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source=pdf_text observed=2026-08-01T05:50:33.555475Z digest=sha256:d03c23225c85d0f58c687360815b17f0b412e2b34756858765b3ab4e4d42a066

Observation 25e3a0b4-f8d1-4761-b2c0-759afe391416 · outbound

This paper cites Mixture of languages: Improved multilingual encoders through language grouping,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Mixture of languages: Improved multilingual encoders through language grouping,

Reference 54

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source=pdf_text observed=2026-08-01T05:50:33.695000Z digest=sha256:9f05ec8b2b800ef53d82d734fde766810f9b847edf3fed650fd48e5fb6ca6f1a

Observation 921cde1f-ffac-455e-a8f8-23c6d5695d91 · outbound

This paper cites A call for clarity in reporting BLEU scores,.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond A call for clarity in reporting BLEU scores,

Reference 55

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source=pdf_text observed=2026-08-01T05:50:33.868188Z digest=sha256:8d8df2ab71fdf797fe75b4c3c95b00869826a8690f0af56073ad61705e53ba4a

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

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

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

Reference 57

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source=pdf_text observed=2026-08-01T05:50:34.032117Z digest=sha256:4cd9989563ec419647954379e738e4777d3acff4dd89b14c225357dab31f4a86

Observation 28558bb8-835d-4cda-badc-48b41c3a6657 · outbound

This paper cites Available: https://aclanthology.org/W18-6319/.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Available: https://aclanthology.org/W18-6319/

Reference 191

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source=pdf_text observed=2026-08-01T05:50:33.883532Z digest=sha256:fe9e02778e8f33cea40e4bb3bef40ea47179c748d12b35302935f49224156724

Observation d14ed6d6-692e-493a-9825-d3ae84ef3dd9 · outbound

This paper cites Transcribe speech to text.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond Transcribe speech to text

Reference 3000

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malformed identifier
no resolver link, observed 2026-08-01T05:50:27.794578Z

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source=pdf_text observed=2026-08-01T05:50:27.794578Z digest=sha256:7b49a4a45b6c4d94d2f345eea6791681a65631b736a02515fa58028138d2305b

Pith citing papers

Observation 59b040cc-e033-4129-8e07-11f94da18cb5 · inbound

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

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond

Reference 1

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source=pdf_text observed=2026-08-01T05:50:27.017184Z digest=sha256:e59f9c9da0e09c322d5275442be93f9846e46a227166e2defefc46703ca03bd4