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Paper Citation Record · LEDGER

GigaAM Multilingual: Foundation Model for Underrepresented Languages

As of 5 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 2026-08-05T06:32:48.257954+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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  • 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:b93934eacc6ac3c868265957946cc160d0f90b139e2df6efa10596f437c0a96e

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=sha256:928e4f765789c299575fe6c1805f2eb809b47bff8b46b817d9832eee60ab8b3f

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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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:08df3cc4a6267a13738d4e972b407faa92e34d151e1ee45ef03adaea61ffa9ae

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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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:f81ed1c216c352fc8053b7dc9bcce68b9502d7d64e242fb051bf2e16962e39d4

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=sha256:4873f8b7d99112d1a32780305b3f0da71301f5b76949d254d494fe69029fcfab

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:e972f037a090315d8f22955088931d8c1dc3f9c98668d08bfc4ad12286ae6fe8

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=sha256:776d64e5b76718fa77c16232e4d15acd13f4f04f5e24fa34a2c2741dd6639471

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:e26c8bfacbf61cd3db73762147cd03ceba2bb54b3f381b249c81b111bef40545

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:b31b0e59113b437f3549cd55d857cf7e711fb817eeb0310245642867bab5cb36

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=sha256:64f4f97a190cef19f5c0a022e0caf66da636afa6f343c177c4d293c51b07c0c7

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=sha256:4f1abfb992aa2f79956e70f4be9639e6d1dbbb54ecca207017ba23284757eced

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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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:30a3ccf0f4c2a51e1805911d54082864730ce6ad74b4095e12678877d99a3f7f

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:d136a831e2cbc5262dcc8d2eea5b55d6bba9af05b406f97c3f04318ec7f93d98

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=sha256:662972846b8866018aab15c670d620e842326be5cc56a555055464c1ae3df283

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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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:cd22ea7bacc4af9558585f582ffd1242cd70b4c75983dbca3959a618692d6dc2

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:fc4d9dc61310e6c86253f82d784a8f151e0a2a390ace9a935ce0742e391621a4

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:c836f360e974ae37f75aef224190ea104a96cdd0506d29961bf5167e807691ec

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=sha256:2e3a1abbc1ee78af0ca415a74e8ebb5778e0057bf456ef35ac0a644555f68a19

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:e055ec7e6dc27195ad05ba87d597c5d46eee705d125f27ef4343482ca14bf83b

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:ed904f19fbbe478bfd34d49cb3549abb2e85d35406896a15a11f0ca2cf40bb78

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=sha256:4ec4514483db627d79ab85764c20fcbb1691f7a6f2d60f6363ce059790ddc8dc

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:f55494bd39efa7434be5f8467940bba915fde8adf23fe221a3557164b8cea275

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:b7fd952b587e7d108dd2a23af40413060e7e1976e53a75568f21e3731409a6bf

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:a73c02195e46ad464ba8906a31a0b6b72019c17f9a3d12445aa30cce4c47d07c

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=sha256:93bb383b3db9f8731ab8c16399657d0bc320d6ece6c0bb382f5898ac0c48b08a

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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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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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:af01a7bde74b663fa1cf6456c9ae1df852c2135384d11e7ad21980664128ec82

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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source=pdf_text observed=2026-07-14T12:15:06.470439Z digest=sha256:944947d5845f204ec99e3dc2d2c593580fad49c5a13d7341456bd67b9fbee1e2

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:d7a7e0a5dfe14c2d39b0a290e153623b21403a741d37b0a17f7d921cb5172e40

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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