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Paper Citation Record · LEDGER

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages

As of 6 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2512.01512.

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

pith.paper-citation-record.v1
2512.01512 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T03:15:04.685150Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

  • verified exact14
  • verified fuzzy14
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02eb6966-55f9-472a-8bc2-9ff2510c7883 · outbound

This paper cites Making llms better many-to-many speech-to-text translators with curriculum learning.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Making llms better many-to-many speech-to-text translators with curriculum learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.426639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:3bd5c5fafbc93b0253e76cb21e439387b04c2f52a19d9bfe0fbc6b6b93ed7138

Observation 6cda7760-b188-459e-9242-a1c5c698cefb · outbound

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

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.442974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:8c2cd9742d5d2048e9f60a6178f013db3fa15ccdfc6ab74e08fd12b429827dd8

Observation 93de562e-c2b2-42c6-be9b-4d12469955ff · outbound

This paper cites Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:18:57.172604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:05dd6f7a19004aeab2851e679d11b3efd784a93e7165f7460ec1e85ae1080f92

Observation 5a4f7985-4e58-499b-94de-6d9b360f85cf · outbound

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

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-17T03:18:57.209538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:60005bbaf725759eca3d88dcf9dd9d2d82c1813f92cc45ea0cc6eae288675e87

Observation 97bc6fba-0bc9-49d2-af27-ba0ed00d97e4 · outbound

This paper cites Speech translation and the end-to-end promise: Taking stock of where we are.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Speech translation and the end-to-end promise: Taking stock of where we are

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.445463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:805d3fa6be54922a75cfa588b35dd59b34851a6b85d8df548da48867d29fc4f6

Observation 35d34721-1096-4ca2-9fac-63a653d4ea36 · outbound

This paper cites SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:18:57.162741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:16a0b8fa82ee514148b2460f8346aca1214fa03a624ffcbfaea649431c228d01

Observation 9a057347-1178-4337-a83c-b1bdb57358cd · outbound

This paper cites Qwen2-Audio Technical Report.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Qwen2-Audio Technical Report

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-17T03:18:57.179508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:cea189fc6474890e3fd5ba91aa3fd95d72d534ecb78d1f8606f36656fae609a7

Observation 414cddce-ec70-470b-a04a-7cad7466bf41 · outbound

This paper cites CoVoST 2 and Massively Multilingual Speech-to-Text Translation.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages CoVoST 2 and Massively Multilingual Speech-to-Text Translation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:18:57.176372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:fd8f14e4afade1eafc030e745de2af66fd75e0a31f2d8779bc448b2de62aee5c

Observation c1f81a7a-d0c1-4cdd-b04a-c033aca281d1 · outbound

This paper cites Visual instruction tuning.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Visual instruction tuning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.410579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:3ea7d89e3c1e77635af09b2c5ea602ae6fe655c2c7e85473c43072dd9b8b6623

Observation efc59e1e-696b-424b-9e9b-798b61ff751e · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.440432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:c1c29eb041cfa49f262751e380d2982ba53dacfc3629873dfdbff333f7d335dc

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

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

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:1e6370a69d9d19822264bce8858321c19d72a5165d0934bd2ac0cac2e69fa66b

Observation b3c62e40-cfb2-4584-9cb4-a9b1f8dca8c1 · outbound

This paper cites Robust speech recognition via large-scale weak super- vision.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Robust speech recognition via large-scale weak super- vision

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.413266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:e6900c1ac3c444064ff5ed28f47e2d8e196885615059158ed379abfbcd062432

Observation 2f57c748-6dc0-4169-8d8d-e01cf7fd0732 · outbound

This paper cites Scaling neural machine translation to 200 languages.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Scaling neural machine translation to 200 languages

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.423866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:1c6b06a40873d6305db42adaaf2816052b1d6fff191dc78f1d34e76060eb2be6

Observation c3007809-8ac5-4f77-84f5-b8b4cb8834f9 · outbound

This paper cites Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:18:57.205761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:31da26e0d6a8eee53bbed28c412e551e9b758b2727afcac0a887a129e37b9dde

Observation a4f8f7d9-1ca8-417a-96db-6caead053c7f · outbound

This paper cites Joint speech and text machine translation for up to 100 languages.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Joint speech and text machine translation for up to 100 languages

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.429530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:85dc12e1bbcb32b4603e45d2157d1e862dd83b8856270c05ccc7fd6aef83a64e

Observation 780f36a5-251a-44c5-8e92-baac27af8a8b · outbound

This paper cites Perception, reason, think, and plan: A survey on large multimodal reasoning models.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Perception, reason, think, and plan: A survey on large multimodal reasoning models

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.432252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:1aa0238e2aaa8025be8eb52ba229a0f1ce823787afb806775b9ad7f76690ab3d

Observation 39c63e5d-f237-4a6c-944f-a3c58f34bd77 · outbound

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

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:29:46.683133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:2d7dc8085eee01ac1a7256f20ab935b25dec7effc06ece8a7f3b1f7fdb5ee687

Observation 0f6ce27a-0879-40da-ba58-40b297daf860 · outbound

This paper cites Voxtral.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Voxtral

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:18:57.194337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:eb5b92524176da6cea3d5dd7891f8aa620909ef9260bd2ffb3e3382d66068303

Observation 8926774b-5ddd-4373-b095-b3f9c88e42a4 · outbound

This paper cites Qwen3-Omni Technical Report.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Qwen3-Omni Technical Report

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-17T03:18:57.201620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:ea08cdceab3d10ed3969fc8b2503b2a71106640a7fc74b91f7491561ac3eff93

Observation 94d04a59-3e00-4cdc-9492-4568178728ae · outbound

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

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Common voice: A massively-multilingual speech corpus

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.435162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:e82ca1df046678cc0d24f03b73e863242a894d3ac791d613d8423d30a042e218

Observation d02f400c-2141-4d26-bb59-917b93620d99 · outbound

This paper cites Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:18:57.190010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:f9617c41e816db7bb914a746e9415e0dcb5ff3ad889ad2bc0a5fdfb532f1524f

Observation 7c79003e-7e08-4af5-b83a-67d9425b7bc7 · outbound

This paper cites Gemma 3 Technical Report.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Gemma 3 Technical Report

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-17T03:18:57.165618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:3e974d0fd1bfeb6062d482d91677e2417032fdfdf15c03afca4e4842a7135a60

Observation 07f4b177-e71c-4ef1-9645-21e064b817b6 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-17T03:18:57.186084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:848240719db806e06aeaa218ee8c4f0f523dcbc957981649ac1084eeb67f7932

Observation 5a506825-730e-487b-b13a-eb35d96fe3de · outbound

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

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T03:18:57.169157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:7eedf14ada6823cbabd3d93ebe50a917f4c5cd3d746ddeb6b520b1c13fb902ee

Observation eb6292ec-d735-4e69-a737-51a20e6cc309 · outbound

This paper cites Comet-22: Unbabel-ist 2022 submission for the metrics shared task.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Comet-22: Unbabel-ist 2022 submission for the metrics shared task

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.421049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:a5554580e03226a420c99c4bdd6bebd2a589bec4d1c9adf0f03fb65ee6766502

Observation 8090c14a-e813-413b-8ecc-60165eae2725 · outbound

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

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages A call for clarity in reporting BLEU scores

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.415778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:7508375178de2f689a0b319c12ff86f451577892aa2c721f9097258dc3376b43

Observation 050cfcaa-e2b2-491b-b3d9-06f16413ead4 · outbound

This paper cites Llamax: Scaling linguistic horizons of llm by enhancing translation capabilities beyond 100 lan- guages.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Llamax: Scaling linguistic horizons of llm by enhancing translation capabilities beyond 100 lan- guages

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.448422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:4e06b317f702d6d86c569174f4c0a12a65479d6e21a061c9cb2d3b9ca4bc81e1

Observation a07dcb4a-4512-46d8-bcc0-f6ee6707d48e · outbound

This paper cites Qwen2.5-Omni Technical Report.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Qwen2.5-Omni Technical Report

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-17T03:18:57.182742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:6f7cd845473ef0a0a57a5207cae65f745ffe7479d373db4be88c5e4c66eece0c

Observation 041cebb7-80a8-44f8-a480-19ace663c866 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Efficient memory management for large language model serving with pagedattention

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T03:23:58.418482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:761a4f81107942c83c6abd106fccce0f290c2d5e9be5d81d53e9a203b073f3cb

Observation 7fbb6436-ed49-4e9d-aad4-8ae41a139a08 · outbound

This paper cites an unresolved cited work.

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-05-17T03:23:58.437877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T03:15:04.685150Z digest=sha256:b21b6f07afcd7572cf7ec9b10365a455fbfb00f06aa75fda0eb53a668233674a

Pith citing papers

No inbound Pith citation observations are available.