Paper Citation Record · LEDGER

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian

As of 15 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2505.22759.

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

pith.paper-citation-record.v1
2505.22759 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:04:24.967561Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy11
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b588d9a-1b53-41bf-997e-4caa42ab0919 · outbound

This paper cites In Findings of the Association for Computational Linguistics: ACL 2023 , pages 3676–3687, Toronto, Canada.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian In Findings of the Association for Computational Linguistics: ACL 2023 , pages 3676–3687, Toronto, Canada

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:04:27.783655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7bcfc448-4686-47d5-a704-709edb7b7bf7 · outbound

This paper cites In 2022 IEEE Spoken Language T echnology Workshop (SL T), pages 798–805.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian In 2022 IEEE Spoken Language T echnology Workshop (SL T), pages 798–805

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:04:27.642689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3388aef6-9e62-457b-ad7d-94cdd217610d · outbound

This paper cites NVLM: Open Frontier-Class Multimodal LLMs.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian NVLM: Open Frontier-Class Multimodal LLMs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:23.679359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46d2d15c-0928-4733-92d0-b542054bfb56 · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:23.767470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55dac9bb-f581-4a31-8758-dfd80d4e8850 · outbound

This paper cites In Findings of the Association for Computational Linguistics: ACL 2024 , pages 12039–12050, Bangkok, Thailand.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian In Findings of the Association for Computational Linguistics: ACL 2024 , pages 12039–12050, Bangkok, Thailand

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:04:27.485622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 87f46c65-3246-4469-98d3-3ab0b2b9f1f6 · outbound

This paper cites In Interspeech 2024, pages 352–356.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian In Interspeech 2024, pages 352–356

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:04:26.573554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f2a1648-a337-4e00-bf4f-9ca7a561c1fb · outbound

This paper cites In 2023 IEEE Automatic Speech Recognition and Under- standing Workshop (ASRU), pages 1–8.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian In 2023 IEEE Automatic Speech Recognition and Under- standing Workshop (ASRU), pages 1–8

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:04:26.293503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 83355968-c97b-4e86-a7b5-82377383fd2a · outbound

This paper cites an unresolved cited work.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:04:26.033440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f7fda617-1352-497c-b05e-3b0a4c1c77aa · outbound

This paper cites In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 2685–2702, Online.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 2685–2702, Online

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:04:25.797690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 07012261-b1ed-4c09-9f64-d22f7014a6f0 · outbound

This paper cites In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , pages 46–52, Miami, Florida, USA.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , pages 46–52, Miami, Florida, USA

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:04:25.624280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a617f67a-60e9-416f-aab0-ff4032474b47 · outbound

This paper cites In Interspeech 2022 , pages 106–110.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian In Interspeech 2022 , pages 106–110

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:04:25.419018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ed991dfe-b050-486b-a5cd-84f4d1b9d4b6 · outbound

This paper cites In Proceedings of the 2020 Conference of the Asian Chapter of the Association for Computational Linguistics (AACL): System Demonstrations.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian In Proceedings of the 2020 Conference of the Asian Chapter of the Association for Computational Linguistics (AACL): System Demonstrations

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:04:25.201514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a8424ed8-b55f-46e9-9dbd-bfa16181186e · outbound

This paper cites The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:24.967561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e8771ea-0192-40e5-be27-545ee905bf83 · outbound

This paper cites In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages 5206–5210.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages 5206–5210

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:04:27.048503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f46fc07b-3149-4e38-888f-56eca77c89e1 · outbound

This paper cites In Proceedings of the 2018 Conference on Em- pirical Methods in Natural Language Processing: System Demonstrations , pages 66–71, Brussels, Belgium.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian In Proceedings of the 2018 Conference on Em- pirical Methods in Natural Language Processing: System Demonstrations , pages 66–71, Brussels, Belgium

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:04:27.218304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c535f02c-18cb-4d7b-a9ec-8ee34d9d7658 · outbound

This paper cites an unresolved cited work.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:04:26.829195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ca4f739-5f08-430a-b4f2-3dd966b457c4 · outbound

This paper cites an unresolved cited work.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:04:27.366450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 39bdd201-7f03-4c38-a6f6-6ad6c2f559a2 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:23.440244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a098e0-7b9b-4583-87bb-e34f569ac50c · outbound

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

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:23.211895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6423c2d7-18e5-47fb-a44a-fbbcc6814f04 · outbound

This paper cites A Case Study on Filtering for End-to-End Speech Translation.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian A Case Study on Filtering for End-to-End Speech Translation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:23.120916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.