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Paper Citation Record · LEDGER

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices

As of 16 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 3 inbound Pith citation observations for arXiv:2509.02523.

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

pith.paper-citation-record.v1
2509.02523 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:40:38.113775Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:49:06.353642Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:17:24.549231Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b676a69a-4acc-4a3d-9402-5fb82d32d0d8 · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T16:40:38.014532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:40:38.014532Z digest=sha256:69bd1a7da2ba693f1a21b8c943ef640aea862d8f7ec02769a80993b1ea17cd05

Observation da234d46-502a-4317-aa7b-1afdf2426443 · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Common Voice: A Massively-Multilingual Speech Corpus

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T16:40:38.024943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:40:38.024943Z digest=sha256:89b9952c18b5dcf945b903a87919d37d6e3bab1b48408e8d0d5bf06fecee319d

Observation 16b98feb-f5aa-4d0e-8871-ade7337434d4 · outbound

This paper cites K., Li, R., Wiesner, M., Mallidi, S.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices K., Li, R., Wiesner, M., Mallidi, S

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:40:38.440114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.034609Z digest=sha256:7e815bc50d401d0666f639ab00a5dea61202d7960585d83478293043bdb76561

Observation 5850ef67-b862-4b88-88e3-789191860184 · outbound

This paper cites A Learned Representation For Artistic Style.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices A Learned Representation For Artistic Style

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T16:40:38.044116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:40:38.044116Z digest=sha256:6947d997e2754fe3d221c7246f1d2a49191ccca56945a218efb30d3939e1571d

Observation 1e67bab4-21c9-4869-81af-bc81670eef6c · outbound

This paper cites an unresolved cited work.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:40:38.382102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.063307Z digest=sha256:d6480f4a6fe371cbdd07cddd515088bfb44a8716a49990e49f0e69efd7a9b4bd

Observation 4a89afb3-bc58-402c-a22f-e4a9c46b3b84 · outbound

This paper cites NVSpeech: An Integrated and Scalable Pipeline for Human-Like Speech Modeling with Paralinguistic Vocalizations.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices NVSpeech: An Integrated and Scalable Pipeline for Human-Like Speech Modeling with Paralinguistic Vocalizations

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T16:40:38.072150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:40:38.072150Z digest=sha256:276691305eedec13c79863c864d9551a4b13e0109ba2739c7efaef7d0ceef337

Observation a6e7cb9f-d6a5-4a3f-9964-365f9f8b0e70 · outbound

This paper cites and Vu, H.-Q.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices and Vu, H.-Q

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:40:38.366105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.076930Z digest=sha256:0bc696d369b82c42b11686eceaf1811aa9aa7a99488efb24f2c361d77bbadb2a

Observation 4ddecd72-dd19-4d31-b07a-554a6e3a83ba · outbound

This paper cites Namvarpour, M.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Namvarpour, M

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:40:38.351887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.080908Z digest=sha256:c624a86fd1e43e68dcdf3dfdbdcb6817ea92ae2a4e6aa9c43dd9a6e4b127b449

Observation c9266033-efc4-4172-be3f-a11987ce6352 · outbound

This paper cites Less is More: Accurate Speech Recognition & Translation without Web-Scale Data.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Less is More: Accurate Speech Recognition & Translation without Web-Scale Data

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T16:40:38.089835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:40:38.089835Z digest=sha256:880aad38bfc2091e78c6fc7793d22b3384516de9ca1b97a6af89f95aa58532dc

Observation 6061def9-cc81-4a28-ae88-94e7e0501633 · outbound

This paper cites N., Weiss, R.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices N., Weiss, R

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:40:38.336521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.094852Z digest=sha256:e205401fdcfa6280e2f511395585bbb4427c29ae827a427f23d9814d717edf0b

Observation 9c514d7c-e96a-4250-a71b-1c44b557e5f2 · 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.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T16:40:38.104762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:40:38.104762Z digest=sha256:391d07d3bcc25bcca63717559fd87db42ba23ef3c6c9847f0effd4669cda95a8

Observation cac67d6f-ca16-418c-acbf-d98d50970b02 · outbound

This paper cites Public Datasets Language Dataset (Hugging Face) Hours Arabic NeoBoy/arabic-tts-wav-24k (Kulkarni et al., 2023; Butt,.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Public Datasets Language Dataset (Hugging Face) Hours Arabic NeoBoy/arabic-tts-wav-24k (Kulkarni et al., 2023; Butt,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:40:38.322493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.109170Z digest=sha256:6f0e86f06a4cfa19c190e70fcb7665d923342479623e3e2dedcfeaeaf4169da5

Observation 0755d999-aa23-4a48-927d-7e2c5a56099e · outbound

This paper cites We include citations for datasets that have an associated paper, or that have citation instructions on the repo at time of writing.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices We include citations for datasets that have an associated paper, or that have citation instructions on the repo at time of writing

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:40:38.307769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.113775Z digest=sha256:8611fa5f30d8ea1bf71a53c9c9bfeb9dea83624dc6c72e86d8129a119169340e

Observation 9b56cb42-4966-4376-8108-2b20e5cbcd29 · outbound

This paper cites Emilia: An extensive, multilingual, and diverse speech dataset for large-scale speech generation.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Emilia: An extensive, multilingual, and diverse speech dataset for large-scale speech generation

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:40:38.410682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.048753Z digest=sha256:718391c67d8f2b70d9fd6236bca36ff37aef6e6dc2503b35b928645205a46ae0

Observation ed5305f5-b517-4544-9fc0-a119306c806c · outbound

This paper cites Open Universal Arabic ASR Leaderboard.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Open Universal Arabic ASR Leaderboard

Reference 2018

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:40:38.171147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.099154Z digest=sha256:6832848cf50d68fb5979e61860802305255ad0a370279c83920c35263e28ff30

Observation 9df437d2-2aea-4ea4-9e3c-976ea5a4085b · outbound

This paper cites Whisperx: Time-accurate speech transcription of long-form audio.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Whisperx: Time-accurate speech transcription of long-form audio

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:40:38.453828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.029971Z digest=sha256:e357c4adc277afce11dd8727ca7b8e84004f56119460b514a2608a8ab43b6598

Observation 238b74ab-db0e-4569-a188-19c884c505f8 · outbound

This paper cites Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T16:40:38.085500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:40:38.085500Z digest=sha256:66eea69ae25b78970594e3bc2b30fddcebb24b5fa7cc94471296eecda717c8a1

Observation a3d115ec-3165-4843-a265-27dd3eb90382 · outbound

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

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Fleurs: Few-shot learning evaluation of universal representations of speech

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:40:38.425326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.039536Z digest=sha256:9c14109e0a3434f90c34e2c3d45c766fcaf1d8166386bddafd2257eaf72c9ffa

Observation 910d4752-04cd-458b-942b-3558159176bc · outbound

This paper cites King, E., Yu, H., Vartak, S., Jacob, J., Lee, S., and Julien, C.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices King, E., Yu, H., Vartak, S., Jacob, J., Lee, S., and Julien, C

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:40:38.396412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.058577Z digest=sha256:578b25224a61119a62357309263c2494eaef46dff4187129dca3513a2688cc48

Observation 06bfdeda-8d3a-487e-a371-7d09dca8cfc8 · outbound

This paper cites PhoWhisper: Automatic Speech Recognition for Vietnamese.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices PhoWhisper: Automatic Speech Recognition for Vietnamese

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T16:40:38.235121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.067596Z digest=sha256:fbcd6096eda04d5c9d5345a377e607d887b2b7dce2fc6fdc29e001d15ba8cf53

Observation cf64b1d2-f858-4222-8280-0b7cf4dbbeff · outbound

This paper cites Moonshine: Speech Recognition for Live Transcription and Voice Commands.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices Moonshine: Speech Recognition for Live Transcription and Voice Commands

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T16:40:38.053714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:40:38.053714Z digest=sha256:8a28eaea8b9d2fcd6fe4be842d2eda14cb94f26743a720576cf956926da44658

Observation 1a05a9b4-5316-4e9e-9b89-40345c1c28b5 · outbound

This paper cites B., Ibrahim, A., Aloraini, R., Alnajim, R., et al.

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices B., Ibrahim, A., Aloraini, R., Alnajim, R., et al

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:40:38.467810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:40:38.020233Z digest=sha256:0968a3d4fe045717388e02ef376ab586bf6d536561b4994b4add3d7344c30036

Pith citing papers

Observation 8596b6d5-4732-489c-857d-8f02226e94c3 · inbound

GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Models cites this paper.

GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Models Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:17:24.550638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-27T19:51:59.265579Z digest=sha256:fa15e27f5b230a35651f5869a657a5536fe975aa8a5941f8c0f4f55ca1c7dee7

Observation 30f098c3-0daa-4d0e-bfe7-48a05f48d27f · inbound

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR cites this paper.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-13T01:50:54.899080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T01:50:54.899080Z digest=sha256:b3b2fa1587dd210b85b20fe4c6037e37e20276877692edc8be943fcfa8395435

Observation c0e22115-3f50-4623-89b1-5b789bea14dc · inbound

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR cites this paper.

Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:06.353642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:49:06.353642Z digest=sha256:4971d9ebbc81101f6f9833b359bb5767fbb5825989bbc659180f87ed07713982