Paper Citation Record · LEDGER

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2506.10747.

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

pith.paper-citation-record.v1
2506.10747 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:24:26.151904Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:24:24.556243Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:24:26.431503Z

Reference resolution

25 of 25 outbound references displayed

verified exact1
verified fuzzy14
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7db5be20-f9e6-4e10-bfbd-22e3c87cf12f · outbound

This paper cites Despite these advance- ments, the issue of fairness in ASR systems remains underex- plored.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Despite these advance- ments, the issue of fairness in ASR systems remains underex- plored

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.194032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8561e38-60b9-4ca7-aad6-a2498792846c · outbound

This paper cites FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T04:24:26.512666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9b06206-0a38-4871-9908-a001fbcc9f7e · outbound

This paper cites Our method explicitly utilizes demographic labels during training, ensuring that learned representations remain robust, discrimina- tive, and fair across diverse populations.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Our method explicitly utilizes demographic labels during training, ensuring that learned representations remain robust, discrimina- tive, and fair across diverse populations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.182065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dde0065f-e47c-4a10-98c5-8e8e85c3b649 · outbound

This paper cites Experimental Settings 4.1.1.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Experimental Settings 4.1.1

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.169586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1da091e3-3ca3-41b2-b54f-936dbd2efabd · outbound

This paper cites Unlike most prior work that ad- dresses fairness post hoc, FairASR directly encourages demo- graphic invariance during pretraining.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Unlike most prior work that ad- dresses fairness post hoc, FairASR directly encourages demo- graphic invariance during pretraining

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.156776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e28553c4-9dcd-4828-8df9-a09ea0eee291 · outbound

This paper cites an unresolved cited work.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:24:28.145487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96815afe-47ae-40e6-a456-1b7a9b904701 · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Robust speech recognition via large-scale weak supervision,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:24.898190Z

Source-reported events for the cited work

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Observation 89e8787c-2ddf-4408-9b4e-d4f18f182773 · outbound

This paper cites Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:24:26.328052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d215aed5-298e-4216-af3d-48bc84b634ca · outbound

This paper cites Quantifying Bias in Automatic Speech Recognition.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Quantifying Bias in Automatic Speech Recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:25.050118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89bccd39-2310-47f2-b03e-da89838bfd5b · outbound

This paper cites Towards measuring fairness in speech recognition: Casual conversations dataset transcriptions,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Towards measuring fairness in speech recognition: Casual conversations dataset transcriptions,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:25.096729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9ad03c2-ebe1-410e-9e44-16a5e87b9d8a · outbound

This paper cites Mitigating un- wanted biases with adversarial learning,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Mitigating un- wanted biases with adversarial learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.120520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0084e52-9844-4e43-b239-77be6aace734 · outbound

This paper cites Toward fairness in speech recognition: Discovery and mitigation of per- formance disparities,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Toward fairness in speech recognition: Discovery and mitigation of per- formance disparities,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.051435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45ecf227-c5a3-4466-857d-fe2f1eab27d2 · outbound

This paper cites Towards measuring fairness in speech recog- nition: Fair-speech dataset,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Towards measuring fairness in speech recog- nition: Fair-speech dataset,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:27.835461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9dff5c48-3781-4638-8f7d-22f21d913dcd · outbound

This paper cites Supervised contrastive learning,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Supervised contrastive learning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:25.328616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d68107f-c5c1-430c-9a2d-d3d8177c0fd1 · outbound

This paper cites Unsupervised domain adaptation by backpropagation,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Unsupervised domain adaptation by backpropagation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:27.644075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9552ece7-18b4-4cfe-ab28-54852001d770 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Representation Learning with Contrastive Predictive Coding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:25.473758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 798e9067-3590-4cf2-81f4-af1f5b22b16f · outbound

This paper cites Gender and dialect bias in youtube’s automatic cap- tions,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Gender and dialect bias in youtube’s automatic cap- tions,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:27.475651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d001bfdf-e380-4f29-8037-dd6b47ebf38b · outbound

This paper cites Gender representation in french broadcast corpora and its impact on asr performance,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Gender representation in french broadcast corpora and its impact on asr performance,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:27.286019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 883412cf-5455-4de3-bad4-40cee802c5d7 · outbound

This paper cites Counterfactually fair automatic speech recognition,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Counterfactually fair automatic speech recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:27.096405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbfd01b2-9a3c-461b-9f69-cd974b845892 · outbound

This paper cites Artie bias corpus: An open dataset for detecting demographic bias in speech applications,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Artie bias corpus: An open dataset for detecting demographic bias in speech applications,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:26.966411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b0580b6-e384-4af6-b8b8-70c40b7f038c · outbound

This paper cites Racial disparities in automated speech recognition,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Racial disparities in automated speech recognition,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:26.847055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 05030d40-2461-40e1-a152-33082675f082 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:25.896412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 540381c8-97f5-4e5d-ab92-9a47a0d66f1c · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:25.967159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a85f80c5-e8d2-48b2-8ccb-4d1fcbab02b5 · outbound

This paper cites Long short-term memory,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Long short-term memory,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:26.690787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60769d0b-a533-476b-928e-97f18749777e · outbound

This paper cites Con- nectionist temporal classification: Labelling unsegmented se- quence data with recurrent neural networks,.

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Con- nectionist temporal classification: Labelling unsegmented se- quence data with recurrent neural networks,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:26.151904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a8561e38-60b9-4ca7-aad6-a2498792846c · inbound