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Paper Citation Record · LEDGER

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution

As of 7 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2607.22546.

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

pith.paper-citation-record.v1
2607.22546 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:50:22.053224Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

78 of 78 outbound references displayed

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External citation measurements

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Outbound references

Observation 4d7e3fa6-b78b-40ee-935e-f427e896c308 · outbound

This paper cites A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation

Reference 1

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This paper cites Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the G e NTE Corpus.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the G e NTE Corpus

Reference 2

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Observation 607a973e-2a39-48cb-91c1-3f413b1a6964 · outbound

This paper cites Interpreting Language Models with Contrastive Explanations.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Interpreting Language Models with Contrastive Explanations

Reference 3

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Observation b2e65fce-186a-4f6f-ac95-9178ef2c0209 · outbound

This paper cites The elephant in the interpretability room:.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution The elephant in the interpretability room:

Reference 4

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Observation 99625414-1148-4ee5-91db-a410ad3e8704 · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Unresolved cited work

Reference 5

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Observation 161c2541-4472-44dd-a2f1-aa5caf844cef · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Unresolved cited work

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Observation 437068e1-d9f9-4792-bdf1-75d66048c095 · outbound

This paper cites Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation

Reference 7

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Observation d3f4f56a-326f-4370-b25e-dd88575deeaa · outbound

This paper cites Inseq: An Interpretability Toolkit for Sequence Generation Models.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Inseq: An Interpretability Toolkit for Sequence Generation Models

Reference 8

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Observation 6467b40b-7f08-4028-b1ab-3505fc67e41e · outbound

This paper cites A decade of gender bias in machine translation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution A decade of gender bias in machine translation

Reference 9

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution 2024 , eprint=

Reference 10

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Observation 1d17e3ed-50c4-4aa0-99b5-ff11a2eb14cf · outbound

This paper cites Getting Gender Right in Neural Machine Translation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Getting Gender Right in Neural Machine Translation

Reference 11

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Observation cdf0c20e-bb3d-43a4-a1d1-e9a295c10a64 · outbound

This paper cites Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment

Reference 12

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Observation f218dbf1-e07f-4dc1-99ab-b18b909b94d3 · outbound

This paper cites First the Worst: Finding Better Gender Translations During Beam Search.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution First the Worst: Finding Better Gender Translations During Beam Search

Reference 13

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution 2023 , eprint=

Reference 14

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Observation d8ec261d-43d4-43f3-a1f6-b61b0b4520ad · outbound

This paper cites The Unheard Alternative: Contrastive Explanations for Speech-to-Text Models.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution The Unheard Alternative: Contrastive Explanations for Speech-to-Text Models

Reference 15

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Observation 21c933d0-7953-4da6-b622-2153697acf62 · outbound

This paper cites https://aclanthology.org/2020.eamt-1.61/.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution https://aclanthology.org/2020.eamt-1.61/

Reference 16

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Observation 9cf044de-cc69-46d9-a2c3-7ea8761bb731 · outbound

This paper cites Gender Bias and the Role of Context in Human Perception and Machine Translation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender Bias and the Role of Context in Human Perception and Machine Translation

Reference 17

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Observation 9f267774-66a9-4cc1-8210-9f00daf057f7 · outbound

This paper cites Automatic detection of (potential) factors in the source text leading to gender bias in machine translation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Automatic detection of (potential) factors in the source text leading to gender bias in machine translation

Reference 18

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This paper cites James Murdoch and Chandan Singh and Karl Kumbier and Reza Abbasi-Asl and Bin Yu.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution James Murdoch and Chandan Singh and Karl Kumbier and Reza Abbasi-Asl and Bin Yu

Reference 19

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Contrastive Explanation

Reference 20

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This paper cites and Garcke, Jochen , journal=.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution and Garcke, Jochen , journal=

Reference 21

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Unresolved cited work

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Interpretable Machine Learning , subtitle=

Reference 23

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of The Fourth Widening Natural Language Processing Workshop , publisher=

Reference 24

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution , month = jul, year =

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution https://dl.acm.org/doi/10.5555/3157382.3157584

Reference 26

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender Bias in Contextualized Word Embeddings

Reference 27

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of the 5th Conference on Machine Translation (WMT) , publisher=

Reference 28

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Collecting a

Reference 29

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gendered Technology in Translation and Interpreting , pages=

Reference 30

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution g EN der- IT : An Annotated E nglish- I talian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena

Reference 31

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This paper cites Mind the Inclusivity Gap: Multilingual Gender-Neutral Translation Evaluation with m G e NTE.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Mind the Inclusivity Gap: Multilingual Gender-Neutral Translation Evaluation with m G e NTE

Reference 32

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution 2025 , eprint=

Reference 33

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender bias amplification during Speed-Quality optimization in Neural Machine Translation

Reference 34

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Observation bff1d9ae-684a-4548-a3ae-ad6eb98ab100 · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution M i TT en S : A Dataset for Evaluating Gender Mistranslation

Reference 35

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Observation 50cd6444-5072-4ad1-9bf9-f15cf14341a2 · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Reference 36

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This paper cites Automatic Gender Identification and Reinflection in A rabic.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Automatic Gender Identification and Reinflection in A rabic

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This paper cites 2023 , isbn =.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution 2023 , isbn =

Reference 38

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Observation f79052ae-6905-46d8-ba23-f406d84918af · outbound

This paper cites Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System

Reference 39

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Observation 040c5946-efd1-4fc6-8e77-5177130358af · outbound

This paper cites Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms

Reference 40

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Observation c37a5e41-0f24-4b10-858d-b0246c04b145 · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution 2025 , eprint=

Reference 41

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Observation 1d9c40f5-7ee2-49cc-8f5d-991a383688c3 · outbound

This paper cites Gender Bias in Machine Translation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender Bias in Machine Translation

Reference 42

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Observation 44643f5d-acff-49b4-8ed3-a50686cb4fb7 · outbound

This paper cites Language (.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Language (

Reference 43

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Observation 18f97241-2d38-4d08-96f4-d58bebb49752 · outbound

This paper cites Context-Aware Neural Machine Translation Learns Anaphora Resolution.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Context-Aware Neural Machine Translation Learns Anaphora Resolution

Reference 44

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Observation e8b58e4a-f745-44ed-8488-f5a6eb28481c · outbound

This paper cites Quantifying the.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Quantifying the

Reference 45

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Observation 0fce2fa5-0c71-48f9-a754-f399db35f5cc · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Unresolved cited work

Reference 46

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Observation 31c26b7f-1ce1-4edf-8913-adad469fe836 · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Improving

Reference 47

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Observation 85d54011-214c-48eb-a975-f2fa2a130d3c · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution , author=

Reference 48

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Observation b86ffee0-62ee-4ad1-b7c8-9f7a1f7c9b33 · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Educational and psychological measurement , volume=

Reference 49

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Observation c9edc6c7-cb3f-454e-8bbd-2f20bc743afb · outbound

This paper cites You Shall Know a Word ' s Gender by the Company it Keeps: Comparing the Role of Context in Human Gender Assumptions with MT.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution You Shall Know a Word ' s Gender by the Company it Keeps: Comparing the Role of Context in Human Gender Assumptions with MT

Reference 50

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source=arxiv_source observed=2026-08-02T14:50:19.730508Z digest=sha256:ea904259130f7ce02b24376645d604910d7d8a1fb46a2e715508edeb8b2d35a6

Observation 0bfd22c8-b0ca-4d60-985b-7f74c0815f0a · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author =.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of the AAAI Conference on Artificial Intelligence , author =

Reference 51

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Observation 3f66e956-6fc4-414d-b504-aebac4b7a244 · outbound

This paper cites An Evaluation of the Human-Interpretability of Explanation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution An Evaluation of the Human-Interpretability of Explanation

Reference 52

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Observation e0fb52e2-e8a6-4ca0-9f57-0009276819ca · outbound

This paper cites Contrastive.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Contrastive

Reference 53

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ac5e0383-2a92-4718-8f19-b7fe95729955 · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Unresolved cited work

Reference 54

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Observation 7a3f5bef-c165-4ab4-bb74-316ce66dbfaa · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution ACM Computing Surveys , author =

Reference 55

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Observation e2255c01-0e26-4bc3-bd81-88292ab6a569 · outbound

This paper cites Implementing Gender-Inclusivity in MT Output using Automatic Post-Editing with LLM s.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Implementing Gender-Inclusivity in MT Output using Automatic Post-Editing with LLM s

Reference 56

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Observation a0059eb1-fec8-4739-a3bb-4c5aebe9bf14 · outbound

This paper cites N eu T ral R ewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution N eu T ral R ewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives

Reference 57

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Observation 0c1c3c5d-d835-4fca-999b-5ea0ac111bd3 · outbound

This paper cites A Rewriting Approach for Gender Inclusivity in P ortuguese.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution A Rewriting Approach for Gender Inclusivity in P ortuguese

Reference 58

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 722c2bd6-1bf3-4ffd-bfaf-7e95968815e3 · outbound

This paper cites Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model

Reference 59

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a47ea343-accb-40f6-bb8e-58287856efb4 · outbound

This paper cites Gender, names and other mysteries: Towards the ambiguous for gender-inclusive translation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender, names and other mysteries: Towards the ambiguous for gender-inclusive translation

Reference 60

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Observation d1bccc2d-8b52-465a-83f4-f7bc6cb295e3 · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Unresolved cited work

Reference 61

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Observation 86543ca0-b317-4d1c-8f32-f368952a31aa · outbound

This paper cites Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale

Reference 62

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 807ef1f8-0e85-4e26-be97-60d5fd933b11 · outbound

This paper cites and Cattoni, Roldano and Turchi, Marco.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution and Cattoni, Roldano and Turchi, Marco

Reference 63

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bbaa25cc-e570-4e0a-9eb0-d200b8e39bce · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Reducing

Reference 64

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics , volume=

Reference 65

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Observation 93952738-63d2-431a-bcb1-ba56c2aa8797 · outbound

This paper cites GAMBIT +: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution GAMBIT +: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics

Reference 66

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Observation fc68c17e-1872-4854-a24b-b9fd511a042b · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing) , publisher=

Reference 67

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Observation eabdaf29-f3b7-4c17-a849-eb28a6ff72f6 · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Proceedings of the Fourth Workshop on Discourse in Machine Translation (DiscoMT) , publisher=

Reference 68

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Observation 5247b2c4-a06e-4dd3-b185-cc4ea3747c3f · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution and Zettlemoyer, Luke , year =

Reference 69

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Observation c8f7e849-06c7-4527-af0b-7833483810f2 · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender bias and stereotypes in

Reference 70

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Observation c57718a0-41d6-491b-be01-29e6cf50cef7 · outbound

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Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution and Casas, Noe , year =

Reference 71

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 745ab73a-7749-4e03-8c95-63c76e8d8d07 · outbound

This paper cites MT - G en E val: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution MT - G en E val: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation

Reference 72

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Observation 0229325f-9aeb-4239-95ed-50cfce7e6a48 · outbound

This paper cites an unresolved cited work.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Unresolved cited work

Reference 73

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Unavailable: canonical work link unavailable.

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This paper cites an unresolved cited work.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Unresolved cited work

Reference 74

Resolution
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Unavailable: canonical work link unavailable.

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Observation 25d02139-9f9a-45d2-ac69-33630a8ae645 · outbound

This paper cites Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges

Reference 75

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0ed57393-242e-4ef6-87bf-c6195dc82ac2 · outbound

This paper cites Perspectives , author =.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Perspectives , author =

Reference 76

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8485cd77-53c3-4de2-b0d0-4f3d431ca665 · outbound

This paper cites Glitter: A Multi-Sentence, Multi-Reference Benchmark for Gender-Fair G erman Machine Translation.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Glitter: A Multi-Sentence, Multi-Reference Benchmark for Gender-Fair G erman Machine Translation

Reference 77

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Source-reported events for the cited work

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Observation dc4fe401-1259-49af-bddd-8f2ad0c1c56f · outbound

This paper cites Stanza: A Python Natural Language Processing Toolkit for Many Human Languages.

Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

Reference 78

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.