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Paper Citation Record · LEDGER

ByT5 model for massively multilingual grapheme-to-phoneme conversion

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2204.03067.

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

pith.paper-citation-record.v1
2204.03067 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:05:13.101152Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:29:22.085242Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c9d07e43-7e7f-4314-add4-fab9cebabf5f · inbound

AyutthayaAlpha: A Thai-Latin Script Transliteration Transformer cites this paper.

AyutthayaAlpha: A Thai-Latin Script Transliteration Transformer ByT5 model for massively multilingual grapheme-to-phoneme conversion

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T22:05:13.101152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:05:13.101152Z digest=sha256:1fdb26f649ad3d60be96334d0a8b3aacd05fa6b3a92e6641d2580174a19b5b6a

Observation c497e06a-8009-4f63-a16e-29e8494a4551 · inbound

What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection cites this paper.

What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection ByT5 model for massively multilingual grapheme-to-phoneme conversion

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:47.428543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:49:47.428543Z digest=sha256:40b92c5d3e24ffd0e4f4acdfe4fbbad132b417e8cc93ce31b76167e60e039fec

Observation 24669fea-f05d-46e3-a985-ac10934b55bb · inbound

Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech cites this paper.

Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech ByT5 model for massively multilingual grapheme-to-phoneme conversion

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:18.179144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:18.179144Z digest=sha256:aed4bb16842aad8737dffda6c3415c64a4a21d45f29b53e41ed5ee78fc3346fe

Observation 9ff03490-0720-4192-9179-fdc6a806758c · inbound

SPARCLE: SPeaker-aware Aligned Representations via Contrastive Language Embeddings cites this paper.

SPARCLE: SPeaker-aware Aligned Representations via Contrastive Language Embeddings ByT5 model for massively multilingual grapheme-to-phoneme conversion

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:29:22.086768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-04T01:21:02.597103Z digest=sha256:8b8f79fecdb0a919e82ebe99bb9b76755edeaa685614a0f9f2867cdc2b0238ec

Observation 33bdb0ee-20e6-47ea-b1a1-646a1d566f5e · inbound

MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition cites this paper.

MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition ByT5 model for massively multilingual grapheme-to-phoneme conversion

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-31T23:18:49.538974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:18:49.538974Z digest=sha256:198fe7d297d8ebd06f56e807a0360a149d398927e5afa119ce913ee5e39cff38