Paper Citation Record · LEDGER

Addressing speaker gender bias in large scale speech translation systems

As of 23 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2501.05989.

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

pith.paper-citation-record.v1
2501.05989 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:10:24.825638Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:10:24.604924Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T04:51:31.843476Z

Reference resolution

42 of 42 outbound references displayed

verified exact5
verified fuzzy24
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 231a6c4a-8c88-44c6-90af-ab5c361f654f · outbound

This paper cites Addressing speaker gender bias in large scale speech translation systems.

Addressing speaker gender bias in large scale speech translation systems Addressing speaker gender bias in large scale speech translation systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.604924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 408f3d5e-75c9-4f91-bde0-566754b98064 · outbound

This paper cites I am a teacher.

Addressing speaker gender bias in large scale speech translation systems I am a teacher

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.629840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e89764c9-4f68-4c29-98e9-dd53d38b0578 · outbound

This paper cites Play a song.

Addressing speaker gender bias in large scale speech translation systems Play a song

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.612396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 22a3fd2d-b61d-480a-9783-a4d9cd54ffb0 · outbound

This paper cites dev” in the MuSTC-v1.0-SET column. The evaluation phase is limited to the remaining utterances not labeled as “dev.

Addressing speaker gender bias in large scale speech translation systems dev” in the MuSTC-v1.0-SET column. The evaluation phase is limited to the remaining utterances not labeled as “dev

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T21:10:25.596058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 33123f82-e10f-4d87-a5f4-f98689bac351 · outbound

This paper cites We also proposed three-mode fine-tuning to account for user prefer- ence and combined training with gender representation loss.

Addressing speaker gender bias in large scale speech translation systems We also proposed three-mode fine-tuning to account for user prefer- ence and combined training with gender representation loss

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.578436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1d87c0da-5c3e-466e-971b-8b3c10f0603f · outbound

This paper cites Transformer transducer: A streamable speech recog- nition model with transformer encoders and rnn-t loss,.

Addressing speaker gender bias in large scale speech translation systems Transformer transducer: A streamable speech recog- nition model with transformer encoders and rnn-t loss,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.560397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05296a18-ab98-457d-b7ae-e68758901dbe · outbound

This paper cites Im- proving rnn transducer modeling for end-to-end speech recognition,.

Addressing speaker gender bias in large scale speech translation systems Im- proving rnn transducer modeling for end-to-end speech recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.544638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2d4de178-f712-4a41-9787-9fe83abc1711 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Addressing speaker gender bias in large scale speech translation systems Neural Machine Translation by Jointly Learning to Align and Translate

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.641994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 557aa4ed-e0d8-4112-ba3b-1907cc440bf5 · outbound

This paper cites Neural machine translation: A re- view,.

Addressing speaker gender bias in large scale speech translation systems Neural machine translation: A re- view,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.528262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1464225a-4fbf-412c-927e-da3758b2c832 · outbound

This paper cites End-to-end auto- matic speech translation of audiobooks,.

Addressing speaker gender bias in large scale speech translation systems End-to-end auto- matic speech translation of audiobooks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.511073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3514359c-5405-4a09-862a-def1efbdd6fe · outbound

This paper cites On Knowledge Distillation for Direct Speech Translation.

Addressing speaker gender bias in large scale speech translation systems On Knowledge Distillation for Direct Speech Translation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:10:25.148443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 74f273dc-4ed4-4fef-9e36-575c858ac3bd · outbound

This paper cites Large-Scale Streaming End-to-End Speech Translation with Neural Transducers,.

Addressing speaker gender bias in large scale speech translation systems Large-Scale Streaming End-to-End Speech Translation with Neural Transducers,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.492965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1159c12b-b59e-4088-9f7a-08c6fc56f822 · outbound

This paper cites Recent Advances in Direct Speech-to-text Translation.

Addressing speaker gender bias in large scale speech translation systems Recent Advances in Direct Speech-to-text Translation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.669984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e740f0ac-820f-4fe0-bc90-9a0364341db9 · outbound

This paper cites Literature survey: Spoken language trans- lation,.

Addressing speaker gender bias in large scale speech translation systems Literature survey: Spoken language trans- lation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.476062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e156f812-9d58-4aa5-85b8-fd3ae7e32fb5 · outbound

This paper cites Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?.

Addressing speaker gender bias in large scale speech translation systems Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.680100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee12394-aae9-4054-8b28-a08756042b39 · outbound

This paper cites Cascade or direct speech translation? a case study,.

Addressing speaker gender bias in large scale speech translation systems Cascade or direct speech translation? a case study,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.459760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4fdbf25a-c7a4-49d0-9a45-205c673e8ba9 · outbound

This paper cites These are not the stereotypes you are looking for: Bias and fairness in authorial gender attribution,.

Addressing speaker gender bias in large scale speech translation systems These are not the stereotypes you are looking for: Bias and fairness in authorial gender attribution,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.443742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 40de618e-a28c-4ac5-9d7b-989a854df212 · outbound

This paper cites Mitigating Gender Bias in Natural Language Processing: Literature Review.

Addressing speaker gender bias in large scale speech translation systems Mitigating Gender Bias in Natural Language Processing: Literature Review

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.696003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e3d4ff-198c-4379-ade2-270e2a42b887 · outbound

This paper cites StereoSet: Measuring stereotypical bias in pretrained language models.

Addressing speaker gender bias in large scale speech translation systems StereoSet: Measuring stereotypical bias in pretrained language models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.701423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f452f9bf-d5ea-464d-adb4-73fa91cc16dd · outbound

This paper cites Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus.

Addressing speaker gender bias in large scale speech translation systems Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:10:25.048059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f579109-0ba2-4140-baa5-54cce3ee8aea · outbound

This paper cites Breeding Gender-aware Direct Speech Translation Systems.

Addressing speaker gender bias in large scale speech translation systems Breeding Gender-aware Direct Speech Translation Systems

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:10:25.024762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b80ecf0-273a-4a5c-a9e1-fc3b8d1211c3 · outbound

This paper cites Gender and dialect bias in youtube’s automatic captions,.

Addressing speaker gender bias in large scale speech translation systems Gender and dialect bias in youtube’s automatic captions,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.408978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9eff16d8-62a8-4ece-8913-6c1e7d74b8eb · outbound

This paper cites When does it hurt? inter- group permeability moderates the link between discrim- ination and self-esteem,.

Addressing speaker gender bias in large scale speech translation systems When does it hurt? inter- group permeability moderates the link between discrim- ination and self-esteem,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.392690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 381de2ad-b116-48ec-a371-787d13d4be82 · outbound

This paper cites Greville corbett, gender . (cambridge textbooks in linguistics.) cambridge: Cambridge univer- sity press, 1991. pp. xix + 363.,.

Addressing speaker gender bias in large scale speech translation systems Greville corbett, gender . (cambridge textbooks in linguistics.) cambridge: Cambridge univer- sity press, 1991. pp. xix + 363.,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.374613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8eb92bc3-c230-4cb1-a7fa-81dd5b367a4c · outbound

This paper cites Reducing gender bias in neural machine translation as a domain adapta- tion problem,.

Addressing speaker gender bias in large scale speech translation systems Reducing gender bias in neural machine translation as a domain adapta- tion problem,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.357093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1993657-ede1-4561-bf1e-22a31617fd28 · outbound

This paper cites Neu- ral machine translation doesn’t translate gender corefer- ence right unless you make it,.

Addressing speaker gender bias in large scale speech translation systems Neu- ral machine translation doesn’t translate gender corefer- ence right unless you make it,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.340023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e1e018ff-8289-41a2-a5e4-81323125a451 · outbound

This paper cites Gender bias in machine translation,.

Addressing speaker gender bias in large scale speech translation systems Gender bias in machine translation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.425513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fde5aafa-a483-4f57-aaac-1ee2af490e14 · outbound

This paper cites Gender aware spoken language translation applied to english-arabic,.

Addressing speaker gender bias in large scale speech translation systems Gender aware spoken language translation applied to english-arabic,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.320782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ecf08ab-6713-4361-b840-c8c4bb57bd47 · outbound

This paper cites Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES.

Addressing speaker gender bias in large scale speech translation systems Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:10:25.000228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9bae3ad8-329a-4835-a9ec-4a62ecd9315c · outbound

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

Addressing speaker gender bias in large scale speech translation systems Seamless: Multilingual Expressive and Streaming Speech Translation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.764561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a07ad56e-5bbc-4dc7-a784-d6ba4d1e23d7 · outbound

This paper cites Must-c: A multilingual corpus for end-to-end speech translation,.

Addressing speaker gender bias in large scale speech translation systems Must-c: A multilingual corpus for end-to-end speech translation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.301561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2f7a4140-9c89-4f29-9575-94d8d2fea202 · outbound

This paper cites Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation.

Addressing speaker gender bias in large scale speech translation systems Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:10:24.958620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 921aa983-8fbe-4833-a1ca-b50128d414f2 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Addressing speaker gender bias in large scale speech translation systems Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.780269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2eaf8dc-6684-4e17-a89e-67c4f4381722 · outbound

This paper cites GPT-4 Technical Report.

Addressing speaker gender bias in large scale speech translation systems GPT-4 Technical Report

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.786138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa7ad71-842f-4722-aa11-30e138d8fd74 · outbound

This paper cites Fairness-guided Few-shot Prompting for Large Language Models.

Addressing speaker gender bias in large scale speech translation systems Fairness-guided Few-shot Prompting for Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.790968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2557479-3a8a-4f2c-aca1-0f47626cef7f · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Addressing speaker gender bias in large scale speech translation systems Chain-of-thought prompting elicits reasoning in large language models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.281684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ea79434-fd77-4254-8601-6320ae61b76f · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Addressing speaker gender bias in large scale speech translation systems Bleu: a method for automatic evaluation of machine translation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.262589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 59b3497e-e661-4d2d-9fb3-e2158152d2df · outbound

This paper cites Nvidia nemo canary model pushes the fron- tier of speech recognition and translation,.

Addressing speaker gender bias in large scale speech translation systems Nvidia nemo canary model pushes the fron- tier of speech recognition and translation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.243701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f7348e4-4ddb-4a9f-a9ef-be1ebd05e17b · outbound

This paper cites Leveraging weakly supervised data to improve end-to-end speech-to-text translation,.

Addressing speaker gender bias in large scale speech translation systems Leveraging weakly supervised data to improve end-to-end speech-to-text translation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.225018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f6d03267-b212-4133-96bd-eb167f2f6094 · outbound

This paper cites Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine.

Addressing speaker gender bias in large scale speech translation systems Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.815962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01a56717-8a28-42a9-9eb1-e510c201a440 · outbound

This paper cites Document-Level Machine Translation with Large Language Models.

Addressing speaker gender bias in large scale speech translation systems Document-Level Machine Translation with Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:24.820912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30967c1d-f922-476c-ba81-d25c9289727f · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Addressing speaker gender bias in large scale speech translation systems Bleu: a method for automatic evaluation of machine translation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:25.205301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 231a6c4a-8c88-44c6-90af-ab5c361f654f · inbound