Paper Citation Record · LEDGER

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing

As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2509.07889.

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

pith.paper-citation-record.v1
2509.07889 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:13:05.255278Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

41 of 41 outbound references displayed

verified exact0
verified fuzzy17
unresolved24
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02861e95-968f-4511-acfd-5b63f7e40717 · outbound

This paper cites Heliyon10(19) (2024).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Heliyon10(19) (2024)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:06.057076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f86d2f70-0c7b-4025-9dad-cdcf85b05e69 · outbound

This paper cites In: Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summa- rization.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing In: Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summa- rization

Reference 2

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Source-reported events for the cited work

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Observation 7230a83f-bf07-4ca4-9a74-66d39bf4bf45 · outbound

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

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.025624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c25ea61b-4028-42fa-b6ce-83378a381337 · outbound

This paper cites Advances in neural information processing systems29(2016).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Advances in neural information processing systems29(2016)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:06.026872Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 180433b7-eb74-41ab-a28e-dc863480d109 · outbound

This paper cites Journal of Computer Technology and Software3(6) (2024).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Journal of Computer Technology and Software3(6) (2024)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:06.010201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad73cc8f-6c65-4cbc-998a-1a8ae0b92ec5 · outbound

This paper cites Catena 151, 147–160 (2017) Title Suppressed Due to Excessive Length 11.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Catena 151, 147–160 (2017) Title Suppressed Due to Excessive Length 11

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.993777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53834b8f-0436-47ba-aaa6-351783e44279 · outbound

This paper cites Master’s thesis, University of Waterloo (2015).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Master’s thesis, University of Waterloo (2015)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.976833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3a6239da-840a-411c-9d90-a62332b62314 · outbound

This paper cites Qwen2-Audio Technical Report.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Qwen2-Audio Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.054759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8be96b6-ad01-4fab-90fa-e85f298475fd · outbound

This paper cites Nature Machine Intelligence1(11), 495–496 (2019).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Nature Machine Intelligence1(11), 495–496 (2019)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.959312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b50848cc-5d57-4ae7-a41a-f82a45c220f9 · outbound

This paper cites In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.066649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c7ceb76-9407-494a-989e-d0391d4adac1 · outbound

This paper cites Proceedings of the National Academy of Sciences115(16), E3635–E3644 (2018).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Proceedings of the National Academy of Sciences115(16), E3635–E3644 (2018)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.930068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 19833030-09a6-4333-b0bc-4189fd7fab24 · outbound

This paper cites IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.077680Z

Source-reported events for the cited work

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Observation e1d51943-df1d-4edf-902e-bed7881af3a3 · outbound

This paper cites Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.083648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 834c5c1c-20bd-40d0-b5ca-9ac6b1d776fe · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.089309Z

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Unavailable: canonical work link unavailable.

Observation ae9cc5ac-832a-4502-849f-31bb9b9f3809 · outbound

This paper cites In: Text sum- marization branches out.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing In: Text sum- marization branches out

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.094575Z

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Unavailable: canonical work link unavailable.

Observation 03c00dbf-63d4-4a23-81e2-735588eb0a65 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.900458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43035681-3f55-4551-9c59-12177dfd3fef · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.104278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e70e0bf-1720-424b-ad91-62cc48055650 · outbound

This paper cites Logic, language, and security: essays dedicated to Andre Scedrov on the occasion of his 65th birthday pp.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Logic, language, and security: essays dedicated to Andre Scedrov on the occasion of his 65th birthday pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.877838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42f00bd2-357d-4a7e-b47c-a305d53d15fb · outbound

This paper cites Neural Computation 9(8), 1735 (1997).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Neural Computation 9(8), 1735 (1997)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.856587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 793b9405-b212-4091-be71-3d526e334e3e · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Efficient Estimation of Word Representations in Vector Space

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.120690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544caa2b-ea1f-4fe6-bfb8-a79f763b6299 · outbound

This paper cites Proceedings of the national academy of sciences109(41), 16474–16479 (2012).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Proceedings of the national academy of sciences109(41), 16474–16479 (2012)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.840442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b520de48-dddf-462d-bbc9-4edb5be8157b · outbound

This paper cites Expert Systems with Applications62, 1–16 (2016).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Expert Systems with Applications62, 1–16 (2016)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.822588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e3e55a2-d1ef-4f72-83a0-2ff23b32a97e · outbound

This paper cites In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.148123Z

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Unavailable: canonical work link unavailable.

Observation f90fe1c6-9bbf-40d3-8eb0-436fe125ffa0 · outbound

This paper cites In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.154256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50038b6d-77bd-4896-b213-36b6d14bc3af · outbound

This paper cites Journal of machine learning research21(140), 1–67 (2020) 12 F.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Journal of machine learning research21(140), 1–67 (2020) 12 F

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.784570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf08a1b2-2ac7-423a-bb17-4cc4b6672ce3 · outbound

This paper cites A Recipe For Arbitrary Text Style Transfer with Large Language Models.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing A Recipe For Arbitrary Text Style Transfer with Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.164768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b913b3-3556-4491-974b-2718677d7364 · outbound

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From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:13:05.767587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea3bf8ca-d50a-4338-89ea-da9db9dfe973 · outbound

This paper cites Advances in neural information processing systems27(2014).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Advances in neural information processing systems27(2014)

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.175591Z

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Unavailable: canonical work link unavailable.

Observation daf9169a-22e0-4254-aad9-82324f360947 · outbound

This paper cites Advances in neural information pro- cessing systems30(2017).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Advances in neural information pro- cessing systems30(2017)

Reference 29

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Observation 62a25648-a37f-4d5c-ba34-c544ffea63a4 · outbound

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From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing LoRA ensembles for large language model fine-tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.191683Z

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Unavailable: canonical work link unavailable.

Observation cb632337-14ee-4831-9532-5f3198452398 · outbound

This paper cites Transactions of the Association for Com- putational Linguistics6, 605–617 (2018).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Transactions of the Association for Com- putational Linguistics6, 605–617 (2018)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.715989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75db744b-27ac-4ee8-87ee-32f4ca010a70 · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022).

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Advances in neural information processing systems35, 24824–24837 (2022)

Reference 32

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Observation 583ddcc7-6ae8-4a19-994f-e2ed99522930 · outbound

This paper cites In: China Health Information Processing Conference.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing In: China Health Information Processing Conference

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.679582Z

Source-reported events for the cited work

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Observation 7d501810-6be0-4a78-9e54-e38b0ab37536 · outbound

This paper cites In: China Health Information Processing Conference.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing In: China Health Information Processing Conference

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.642339Z

Source-reported events for the cited work

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Observation a3e71941-2b6c-4913-9139-7049cc0306cd · outbound

This paper cites CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.216794Z

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Observation 75b457d8-e24e-495e-abc7-d9d11a6f33f8 · outbound

This paper cites CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.227639Z

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Unavailable: canonical work link unavailable.

Observation 6f3d32f6-2040-4ef2-8df7-5573457b866f · outbound

This paper cites Style Transfer as Unsupervised Machine Translation.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Style Transfer as Unsupervised Machine Translation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.232940Z

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Observation 26c10b98-9da7-4cf1-8c90-08b6b99fca41 · outbound

This paper cites Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.238538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1343210-09d3-477d-9900-a1f01b5a6169 · outbound

This paper cites Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.243654Z

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Unavailable: canonical work link unavailable.

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This paper cites A C-LSTM Neural Network for Text Classification.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing A C-LSTM Neural Network for Text Classification

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T16:13:05.249596Z

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Unavailable: canonical work link unavailable.

Observation 2df2bb62-f5c5-412f-ad8b-632dd8e476e8 · outbound

This paper cites In: Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing In: Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:13:05.616159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.