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Paper Citation Record · LEDGER

GigaAM Multilingual: Foundation Model for Underrepresented Languages

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2607.10371.

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

pith.paper-citation-record.v1
2607.10371 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:15:06.470439Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:15:06.470439Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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  • verified fuzzy0
  • unresolved40
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

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Outbound references

Observation 9be9d37e-c2b2-496b-81c1-f7e3cc7bf605 · outbound

This paper cites an unresolved cited work.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Unresolved cited work

Reference 1

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Observation d61fe4a4-4b4e-4b8e-9573-294d1c6508aa · outbound

This paper cites GigaAM Multilingual: Foundation Model for Underrepresented Languages.

GigaAM Multilingual: Foundation Model for Underrepresented Languages GigaAM Multilingual: Foundation Model for Underrepresented Languages

Reference 2

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Observation 5cd6ce53-190e-4ccc-a6cd-bed3e1b3137c · outbound

This paper cites uncertain.

GigaAM Multilingual: Foundation Model for Underrepresented Languages uncertain

Reference 3

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Observation f8182e16-7996-4c9c-9663-55647349575c · outbound

This paper cites centre”→“center.

GigaAM Multilingual: Foundation Model for Underrepresented Languages centre”→“center

Reference 4

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:1bb97f4e27b644f072855ff898fba6e1f95349c673fdf8b7ee5260af9f768260

Observation 68989239-52ea-42ba-b079-b0a565ca4acb · outbound

This paper cites We introduce GigaAM Multilingual, a Conformer en- coder pre-trained on 2M hours of audio using a cluster-aware sampling strategy.

GigaAM Multilingual: Foundation Model for Underrepresented Languages We introduce GigaAM Multilingual, a Conformer en- coder pre-trained on 2M hours of audio using a cluster-aware sampling strategy

Reference 5

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Observation 1afdf5cb-9991-412a-83e9-99fe27c50f8b · outbound

This paper cites The authors reviewed and revised all AI-assisted edits and take full responsibility for the content, claims, experimental results, and conclusions of this paper.

GigaAM Multilingual: Foundation Model for Underrepresented Languages The authors reviewed and revised all AI-assisted edits and take full responsibility for the content, claims, experimental results, and conclusions of this paper

Reference 6

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:6923155e62252b7dc1c8128dd8c78b0f50d8d0c279da02a4612a31278cc2e0b9

Observation 5d1b874d-bd42-4891-81c7-aa4c9a011260 · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Robust speech recognition via large-scale weak supervision,

Reference 7

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Observation e9f7d5bc-f704-408a-9c4b-c39d313442b4 · outbound

This paper cites Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Reference 8

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Observation 889a9b6f-3264-4c13-ac05-2f75b5b1d8ab · outbound

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

GigaAM Multilingual: Foundation Model for Underrepresented Languages Scaling speech technology to 1,000+ languages,

Reference 9

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:cb845fb3433a4c6420559016f07eb8503588c21716905739d10f76b973391f81

Observation b88651f0-baf6-4736-b08d-fe2dc494bc10 · outbound

This paper cites Available: http://jmlr.org/papers/v25/23-1318.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Available: http://jmlr.org/papers/v25/23-1318

Reference 10

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:d606c1bfdc0d56b48e999a3a383093a568dd2a992e15a76d20d1358677881e07

Observation 888eefd7-41d3-4092-a820-6d68ff553484 · outbound

This paper cites Omnilingual asr: Open-source multilingual speech recognition for 1600+ languages,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Omnilingual asr: Open-source multilingual speech recognition for 1600+ languages,

Reference 11

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:10a6e095ab87174a3885e15e8e8564e432991a8a1e0493ad8649b2ad727a7216

Observation 1063d487-f647-42fd-9899-0b710060bb36 · outbound

This paper cites The ML-SUPERB 2.0 Challenge: Towards In- clusive ASR Benchmarking for All Language Varieties,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages The ML-SUPERB 2.0 Challenge: Towards In- clusive ASR Benchmarking for All Language Varieties,

Reference 12

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:c3d600b09b29e32ed4d65835b63026a0e435c8919176086ce5256f5611754b01

Observation 346eb9d2-f306-4604-9366-a4fd5ced41d0 · outbound

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

GigaAM Multilingual: Foundation Model for Underrepresented Languages mHuBERT-147: A Compact Multilingual HuBERT Model,

Reference 13

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:e3fa0c36f09fdf3ac8dfba46bff7b34d96ff01cade7f02b002b66a6e3f43a922

Observation 0c9bc925-6089-4613-90d9-2ced99f0764e · outbound

This paper cites GigaAM: Efficient Self-Supervised Learner for Speech Recognition,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages GigaAM: Efficient Self-Supervised Learner for Speech Recognition,

Reference 14

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:ef699e9ec09a1eaaaa568c9d1e0e1958c2055deb0ef11b6c4c5c0d2a25e5a827

Observation 34496957-8b35-4807-9578-d6f79ca9287a · outbound

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

GigaAM Multilingual: Foundation Model for Underrepresented Languages wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,

Reference 15

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:d87493812cfbbfd8c78ce1c6b985225b73e44f803eaefbcdd23a496620890c14

Observation 4c637a33-271f-48e6-bfa7-e31bb043c42b · outbound

This paper cites Hubert: Self-supervised speech rep- resentation learning by masked prediction of hidden units,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Hubert: Self-supervised speech rep- resentation learning by masked prediction of hidden units,

Reference 16

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Observation 2d8c6bc4-790e-437b-acb7-3688e45872b3 · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

GigaAM Multilingual: Foundation Model for Underrepresented Languages XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 17

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Observation 67efeacc-0be1-4266-8a16-15e6c5f47caa · outbound

This paper cites GigaSpeech 2: An evolving, large-scale and multi-domain ASR corpus for low-resource languages with automated crawling, transcription and refinement,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages GigaSpeech 2: An evolving, large-scale and multi-domain ASR corpus for low-resource languages with automated crawling, transcription and refinement,

Reference 18

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Observation c6575b29-54ca-4468-96a9-a882eb09dde0 · outbound

This paper cites On the Effects of Heterogeneous Data Sources on Speech-to- Text Foundation Models,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages On the Effects of Heterogeneous Data Sources on Speech-to- Text Foundation Models,

Reference 19

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:677fab242aa6ac8776a040ab1a37c74a0347a820ea3635e288a4775db45c6605

Observation b09525f2-549f-496e-8752-6c9580852165 · outbound

This paper cites OWSM v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages OWSM v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning,

Reference 20

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:0ad59b5227a1bd93a324ddc5e4fcf022bf23bde57c932c7fd166bf66e90d2ff7

Observation bc2daae0-f67f-4eb5-9aed-a9985ca80e7e · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

GigaAM Multilingual: Foundation Model for Underrepresented Languages RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 21

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Observation 8fa418c3-29f3-4a73-a864-eeccd7af4679 · outbound

This paper cites Finding community structure in very large networks,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Finding community structure in very large networks,

Reference 22

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:b3b2ca0b1fb6e4fd3fcd18971d03d3c608fa3d9355181e5a3d282ddd88810a6f

Observation 0e9c1fba-5541-4e89-a9c0-543aff5147e9 · outbound

This paper cites Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,

Reference 23

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:26af75922083146aecaa53be8f190c659732d2d3870143eea38ae1dd3a5b6885

Observation 5641afb8-f818-4fc8-ac56-ea726b3a388f · outbound

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

GigaAM Multilingual: Foundation Model for Underrepresented Languages Common voice: A massively-multilingual speech corpus,

Reference 24

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:41ae30a0f76de917c3145c3d5e6be99603a8547677bd17686b54ad7c7757f205

Observation d9292ca4-343d-46a7-9d4c-7149002eb500 · outbound

This paper cites Fleurs: Few-shot learning evaluation of universal representations of speech,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Fleurs: Few-shot learning evaluation of universal representations of speech,

Reference 25

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Observation e97a3d55-b635-4827-a5ed-7973f10d4e18 · outbound

This paper cites Golos: Russian Dataset for Speech Research,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Golos: Russian Dataset for Speech Research,

Reference 26

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:5aeefb05ce0fc722c6de1ce48a55a73655143a59b95354e76b0e8be351c4854a

Observation 0dca92fc-fd7f-452a-a148-d9a23c5c3d20 · outbound

This paper cites A toolbox for construction and analysis of speech datasets,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages A toolbox for construction and analysis of speech datasets,

Reference 27

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:00640018b23bddb107d3e88e37a3802523881e771aa9a8a953fa2985b6ae35b8

Observation 7043f081-2cf7-4da0-af61-9cddcb73ed96 · outbound

This paper cites Europarl-ASR: A large corpus of parliamentary debates for streaming ASR benchmarking and speech data filtering/verbatimization,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Europarl-ASR: A large corpus of parliamentary debates for streaming ASR benchmarking and speech data filtering/verbatimization,

Reference 28

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:3cc532594a574ee18c7cba6cd6881dd5b3fee0c9a3fb3874372fd371a4b54062

Observation 9d7eb27f-23ce-4919-bc23-14c4fda3651b · outbound

This paper cites Lib- riSpeech: An ASR corpus based on public domain audio books,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Lib- riSpeech: An ASR corpus based on public domain audio books,

Reference 29

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:2883c008fc069bac63899da4c35ff434964ec79cad2d399b5bf52c94346de97f

Observation f1cd8cd8-6c3f-4a88-85c0-b4ff4b72b921 · outbound

This paper cites The people’s speech: A large-scale diverse english speech recognition dataset for commercial usage,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages The people’s speech: A large-scale diverse english speech recognition dataset for commercial usage,

Reference 30

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:7534cfdcc7db29bd30ae2440c786797120f0fd438c333852fe223555233aa67f

Observation 1248d36d-41ff-47a5-baaa-205d264bc859 · outbound

This paper cites SLURP: A spoken language understanding resource package,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages SLURP: A spoken language understanding resource package,

Reference 31

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:5ad127fa0ce2d029a359b2db9b17e0ef20c9c34601dce74a305e4de344dd2951

Observation 285afe87-ccd4-4be5-ba80-e478440347a5 · outbound

This paper cites SPGISpeech: 5,000 hours of transcribed fi- nancial audio for fully formatted end-to-end speech recognition,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages SPGISpeech: 5,000 hours of transcribed fi- nancial audio for fully formatted end-to-end speech recognition,

Reference 32

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:893ee6f0ddc39cacbaf67f577c1b04c0048a81df10f34871ba368c1311da0c7a

Observation efae1ac8-bfef-487e-9fde-ddb3d536b042 · outbound

This paper cites TED-LIUM 3: Twice as much data and corpus repar- tition for experiments on speaker adaptation,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages TED-LIUM 3: Twice as much data and corpus repar- tition for experiments on speaker adaptation,

Reference 33

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:19ce4daf36cfecd85a46a294382387575decc54e94593797f2edd6724127483a

Observation 51135a93-3e68-41a3-ac17-aaaf169f4cc1 · outbound

This paper cites CSTR VCTK cor- pus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),.

GigaAM Multilingual: Foundation Model for Underrepresented Languages CSTR VCTK cor- pus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),

Reference 34

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Observation 2cb01b85-f87d-4802-99a4-38e8eac8fc49 · outbound

This paper cites V oxForge,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages V oxForge,

Reference 35

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Observation f156286b-746c-4e75-90fc-1772479d654e · outbound

This paper cites Usc: An open-source uzbek speech corpus and initial speech recognition experiments,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Usc: An open-source uzbek speech corpus and initial speech recognition experiments,

Reference 36

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:d4d7b22d83b7837616bd5bec3a63c659800cf073de8b30c346215e49d6bc9653

Observation 491029b0-7cac-4011-a1e9-cc64563818fe · outbound

This paper cites KSC2: An Industrial-Scale Open-Source Kazakh Speech Corpus,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages KSC2: An Industrial-Scale Open-Source Kazakh Speech Corpus,

Reference 37

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Observation 755b17cc-63ed-49dc-b0f4-5dc5bf79a60b · outbound

This paper cites KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset,

Reference 38

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Observation 1a2010f5-4b60-4382-9b52-31d2a5200cd6 · outbound

This paper cites Yodas: Youtube-oriented dataset for audio and speech,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Yodas: Youtube-oriented dataset for audio and speech,

Reference 39

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Observation 2dc52c86-6be4-44c5-8455-e73ae6d1b752 · outbound

This paper cites A post-processing system to yield reduced word er- ror rates: Recognizer output voting error reduction (rover),.

GigaAM Multilingual: Foundation Model for Underrepresented Languages A post-processing system to yield reduced word er- ror rates: Recognizer output voting error reduction (rover),

Reference 40

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Observation f574848a-27f2-4444-8825-a33e467a0a54 · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer,.

GigaAM Multilingual: Foundation Model for Underrepresented Languages mT5: A massively multilingual pre-trained text-to-text transformer,

Reference 41

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Observation d9c7ef2d-ae9c-4011-a625-d203dc28a578 · outbound

This paper cites Seamless: Multilingual Expressive and Streaming Speech Translation.

GigaAM Multilingual: Foundation Model for Underrepresented Languages Seamless: Multilingual Expressive and Streaming Speech Translation

Reference 42

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Pith citing papers

Observation d61fe4a4-4b4e-4b8e-9573-294d1c6508aa · inbound

GigaAM Multilingual: Foundation Model for Underrepresented Languages cites this paper.

GigaAM Multilingual: Foundation Model for Underrepresented Languages GigaAM Multilingual: Foundation Model for Underrepresented Languages

Reference 2

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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:e9988ed1b2d002f59a1eac2099ac3a3501a59df4fd86399bec93eb1303f1a875