Paper Citation Record · LEDGER

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2411.09431.

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

pith.paper-citation-record.v1
2411.09431 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:42:40.095369Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T00:03:31.986628Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy32
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f08074b-7fa3-4290-aa0b-1e6f4874d293 · outbound

This paper cites an unresolved cited work.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:42:40.772170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f672a42d-2b0a-41e1-b89a-317dfbed2020 · outbound

This paper cites Available at SSRN (2016).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Available at SSRN (2016)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.757387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8484836c-7d02-49a9-b0a0-c48bc5308321 · outbound

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

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Common Voice: A Massively-Multilingual Speech Corpus

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T20:42:39.900727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9b5af71-7ffd-4e12-bd04-a1ac6197b98e · outbound

This paper cites Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T20:42:39.906648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 701fc843-106a-408d-b8f0-75aead89bf35 · outbound

This paper cites Cognitive Computation 13(4), 1008–1018 (2021).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Cognitive Computation 13(4), 1008–1018 (2021)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.742151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 644c212c-7550-4062-8e68-f8a0c4076fe1 · outbound

This paper cites Language (Technology) is Power: A Critical Survey of "Bias" in NLP.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T20:42:39.917594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f164cea-eb2a-4e93-aa94-7ded69bf97a2 · outbound

This paper cites ACM SIGKDD explorations newsletter 1(2), 1–11 (2000).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data ACM SIGKDD explorations newsletter 1(2), 1–11 (2000)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.727266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a5b8b945-d459-495d-b3a2-b34831e55775 · outbound

This paper cites In: Proceedings of the 23rd Conference of the International Speech Communication Association (2022).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Proceedings of the 23rd Conference of the International Speech Communication Association (2022)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.712459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45793009-2137-4392-a575-b2e79750fca8 · outbound

This paper cites Journal of accounting and economics 12(1-3), 15–36 (1990).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Journal of accounting and economics 12(1-3), 15–36 (1990)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.697294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 269917f2-62fd-4e0f-843a-f3a457e0e180 · outbound

This paper cites (12 2017), nIPS 2017 Keynote.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data (12 2017), nIPS 2017 Keynote

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.682304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ae23278-6905-43f4-88af-ebabc809ec03 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T20:42:39.945791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 489e9f88-958d-4922-83aa-3dbf33afb75f · outbound

This paper cites Procedia Computer Science128, 32–37 (2018) 4 https://npo.nl/ Analyzing Predictive Gender Bias in Dutch ASR 15.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Procedia Computer Science128, 32–37 (2018) 4 https://npo.nl/ Analyzing Predictive Gender Bias in Dutch ASR 15

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.666857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 136fdc52-e5e8-47a0-b6c1-56583534e4c3 · outbound

This paper cites Computer Speech & Language p.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Computer Speech & Language p

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.651561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e4c14c6-c8e3-47e5-84d7-bd9c869520ed · outbound

This paper cites Quantifying Bias in Automatic Speech Recognition.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Quantifying Bias in Automatic Speech Recognition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T20:42:39.960324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 022643f2-bd42-4193-8ec1-202ce81eda2a · outbound

This paper cites In: 2023 International Conference on Speech Technology and Human-Computer Dialogue (SpeD).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: 2023 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.637086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79271920-4dd1-40b9-ae86-bb48fccb267f · outbound

This paper cites In: Proceedings of the 1st international workshop on AI for smart TV content production, access and delivery.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Proceedings of the 1st international workshop on AI for smart TV content production, access and delivery

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.621848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3423b6c9-558e-4a3b-89a0-2701a552e085 · outbound

This paper cites In: 3rd Workshop on Gender Bias in Natural Language Processing.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: 3rd Workshop on Gender Bias in Natural Language Processing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.606239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45ebde54-8f4b-4eba-9d8f-79fa3a0d0af0 · outbound

This paper cites Scaling Laws for Neural Machine Translation.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Scaling Laws for Neural Machine Translation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T20:42:39.979218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea59a148-198c-4411-989c-cce8ffe30d2f · outbound

This paper cites In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.590595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d040cec6-aa33-4ef8-a372-28e25a864053 · outbound

This paper cites In: Pro- ceedings of the 54th Annual Meeting of the Association for Computational Lin- guistics (Volume 2: Short Papers).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Pro- ceedings of the 54th Annual Meeting of the Association for Computational Lin- guistics (Volume 2: Short Papers)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.574630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9c4ad86e-fadc-4454-96cf-872a0fe910b5 · outbound

This paper cites In: The 2024 ACM Conference on Fair- ness, Accountability, and Transparency.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: The 2024 ACM Conference on Fair- ness, Accountability, and Transparency

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.559464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2fd96ab8-82c4-4185-87c5-c8a6a716ca0c · outbound

This paper cites Information Sciences 177(22), 4893–4905 (2007).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Information Sciences 177(22), 4893–4905 (2007)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.544408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4db69d98-b41b-4aed-816d-52e134313a5a · outbound

This paper cites In: 1st ACL Workshop on Gender Bias for Natural Language Processing (2019).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: 1st ACL Workshop on Gender Bias for Natural Language Processing (2019)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.527453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb3b9435-6b89-41ca-9c11-f610a61134b9 · outbound

This paper cites Social psychological and personality science8(4), 355–362 (2017).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Social psychological and personality science8(4), 355–362 (2017)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.511489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe91f4f7-1546-4282-99f0-fb33894de645 · outbound

This paper cites In: ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.494337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 92e0af48-64b8-4be1-9a19-780137e20f24 · outbound

This paper cites In: ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.479779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7cd44b8c-e633-4f96-b4a0-6042060546e3 · outbound

This paper cites In: Proceedings of the Twelfth Language Resources and Evaluation Conference.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Proceedings of the Twelfth Language Resources and Evaluation Conference

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.464864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3d47053b-a372-43a7-9e6f-d76344774605 · outbound

This paper cites In: Interspeech.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Interspeech

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.449286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 437a6688-f90c-4421-8d6a-596144a27b1a · outbound

This paper cites BBC News, Jan (2017).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data BBC News, Jan (2017)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.433565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8dbe5764-876c-4f74-b323-1325a3ea0fc9 · outbound

This paper cites NPJ digital medicine2(1), 55 (2019).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data NPJ digital medicine2(1), 55 (2019)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.417821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e49d9bca-90b2-4f0e-adda-cddc297a4fb3 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Robust Speech Recognition via Large-Scale Weak Supervision

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T20:42:40.046188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ce7bc27-9e52-444a-bc73-adf14070ae22 · outbound

This paper cites In: Proceedings of the 2nd Workshop of Arabic Corpus Linguistics WACL-2.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Proceedings of the 2nd Workshop of Arabic Corpus Linguistics WACL-2

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.402420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 19c3e429-af76-4c04-893a-d1b61ac12734 · outbound

This paper cites NPR All Things Considered (2015).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data NPR All Things Considered (2015)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.386171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 35878645-d891-4041-8930-5fe7638235cf · outbound

This paper cites Biometrika 52(3/4), 591–611 (1965).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Biometrika 52(3/4), 591–611 (1965)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.369880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a02dbef-4923-477a-bb8c-3b7085bbeb34 · outbound

This paper cites In: Equity and access in algorithms, mechanisms, and optimization, pp.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Equity and access in algorithms, mechanisms, and optimization, pp

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.353629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7bba996e-14bc-4d2b-a6eb-59cdfcde7410 · outbound

This paper cites In: Proceed- ings of the first ACL workshop on ethics in natural language processing.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Proceed- ings of the first ACL workshop on ethics in natural language processing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.335606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 76cf22b4-ffa7-4653-9e2e-5a005f901f3a · outbound

This paper cites In: Interspeech.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Interspeech

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.318629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 67572aff-1612-4c57-8682-b635a695f9aa · outbound

This paper cites In: Speech and Natural Language: Proceedings of a Workshop Held at Philadelphia, Pennsylvania, February 21-23, 1989 (1989).

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Speech and Natural Language: Proceedings of a Workshop Held at Philadelphia, Pennsylvania, February 21-23, 1989 (1989)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.303091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95e7500d-1b58-486c-ac1a-c4c6cf05537c · outbound

This paper cites Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T20:42:40.085437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8952b44-0f39-4864-8ab1-e0a9e03d1912 · outbound

This paper cites In: Proc.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Proc

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.286387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c6c13ce-2d41-4a75-bf7e-9eea1c296344 · outbound

This paper cites In: Proceedings of the Annual Conference of the In- ternational Speech Communication Association, INTERSPEECH.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data In: Proceedings of the Annual Conference of the In- ternational Speech Communication Association, INTERSPEECH

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:42:40.269761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 97296e55-856c-4efd-a0d6-eea8f452de14 · inbound

A Semi-spontaneous Dutch Speech Dataset for Speech Enhancement and Speech Recognition cites this paper.

A Semi-spontaneous Dutch Speech Dataset for Speech Enhancement and Speech Recognition Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-15T00:03:31.986628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.