Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T13:29:57.221938Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2502.02072.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T13:29:57.221938Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f0cb4a07-4d9d-43ee-b166-5b28ddde7d2b · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bfeb06fc-f8fc-4acf-bc94-74aae4b78f5b · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cf5160e2-5385-494a-b3b9-cc6b95970d12 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 68945d1c-2359-42ad-a412-17db0eabba9b · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a0f6372a-b356-40e7-b50d-6d52a838b415 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3386f0be-e452-417c-8aa6-74f88aa0198a · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 59531921-97a8-44cd-b243-6589bb9e04bf · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Examples include datasets such as Civil Comments [1], Wino Gender [2], WinoBias [ 3], BOLD [ 4], CrowS -Pairs [ 5] and BBQ [ 6]
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 867e7066-0ffd-472f-8a2a-46c7afc59847 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping It works well for tasks such as identifying organizational bias, evaluating societal stereotypes, or aiding in inclusive policymaking
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5f35ea8d-bde2-481e-99e8-2fd2b6480a3d · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 56ecd2ab-20ea-487e-a33d-edc7bb41e9e9 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f127aaee-8481-4528-9aeb-3fc13bc596c9 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Language (Technology) is Power: A Critical Survey of "Bias" in NLP
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23297e8d-e27e-4a4c-9ab9-e943741abeae · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping linguistic hegemony in machine learning
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d572ad1b-df82-4550-91ae-81fcb841732a · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping religion, disability, caste, etc
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9e6a6524-99db-4a4f-a6a4-e00850a06633 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a21dcdec-8704-4d0c-a13a-6f510ddce0b8 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Examples include datasets such as Civil Comments, Wino Gender, WinoBias, BOLD, CrowS -Pairs and BBQ
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a9a0b36e-1782-4c1b-b988-91b73c3167dd · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping A benchmark for toxic comment classification on Civil Comments dataset
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6eae78ee-b654-4e94-b2b0-33724fde51da · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a9c168ce-71dd-4a35-81e6-b00378958ab6 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 32528210-5015-452d-a5f7-663a091c96e0 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3c3b6287-8dba-43ed-8877-4ade4edbc1b6 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping W., & Gupta, R
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 35f4e49b-46c3-4c94-8e1a-a89e31ae2804 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4eb89ec3-16b3-4319-8a9d-dfebbc9ae794 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping BBQ: A Hand-Built Bias Benchmark for Question Answering
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d762ae8-41c5-4556-a78b-f00248e6dfe2 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Language Models are Few-Shot Learners
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4c4c16d9-d80a-4429-a81b-36af77f52c86 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Language Models are Unsupervised Multitask Learners
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7e7537f5-ccda-47a7-8052-cd218002afe6 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping On the Dangers of Stochastic Parrots
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cfa97d3e-76b8-4846-855a-2b986688917a · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping On the Opportunities and Risks of Foundation Models
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 742071a7-51f5-48dc-95b9-46f974d3ac76 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Demarginalizing the Intersection of Race and Sex
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 80288f0b-c626-4b60-9593-2738771bbb8c · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1872b909-a610-442a-8f0b-73f7382a07c2 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f1b45c23-5f54-424d-8e17-64225faf69d7 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2656677e-4f63-4ac8-a9e6-e67f1471f398 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8b4b3a4b-bfa6-41de-8a26-3a618e044947 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 37264f38-9276-4966-98a6-36dd2d0cf4eb · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a625959f-6855-4ffa-9de8-4e7db6c4c4fb · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 27b400d3-f938-4ed6-989a-3fba45be443b · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b70e4fad-bded-479a-8041-8df1415c72fe · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Debiasing multilingual word embeddings: A case study of three indian languages
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 51e3fcc2-918e-4710-a3c8-cf7b85cf1d89 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Worst of Both Worlds: Biases Compound in Pre -trained Vision-and-Language Models
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 15ef53e9-df4b-4614-8045-0498d2704d79 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Reference 2020
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2378b979-ec27-43d8-bb1c-eef2257a1958 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping A Survey on Bias and Fairness in Machine Learning
Reference 2021
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 700f3a31-9cf2-46f2-96df-8ee3cafcfa12 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Benchmarking Intersectional Biases in NLP
Reference 2022
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6734123a-8c8c-41fe-9b0e-3103c7780954 · outbound
ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Improving Bias Mitigation through Bias Experts in Natural Language Understanding
Reference 2023
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
No inbound Pith citation observations are available.