Pith. sign in

Paper Citation Record · LEDGER

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping

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.

pith.paper-citation-record.v1
2502.02072 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:29:57.221938Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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 exact1
  • verified fuzzy20
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0cb4a07-4d9d-43ee-b166-5b28ddde7d2b · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.708852Z

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.

source=pdf_text observed=2026-08-09T13:29:57.068583Z digest=sha256:37eaf0a61f775d1ef043f7ec017e0da82b86d61da33ccdffaa1b82c0fe13a496

Observation bfeb06fc-f8fc-4acf-bc94-74aae4b78f5b · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.697875Z

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.

source=pdf_text observed=2026-08-09T13:29:57.072894Z digest=sha256:2105f147690c24a18748d4ae3918ac73f5b8ffc898143fd369ed2a80145d383a

Observation cf5160e2-5385-494a-b3b9-cc6b95970d12 · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.686408Z

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.

source=pdf_text observed=2026-08-09T13:29:57.076860Z digest=sha256:2a01e9015f18dd8f94e6342c38ee526a922ca7559e4b8156ceb4b7cba9f054d6

Observation 68945d1c-2359-42ad-a412-17db0eabba9b · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.675604Z

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.

source=pdf_text observed=2026-08-09T13:29:57.080848Z digest=sha256:f646a29375b90976e9a5d9b0e482a9cddb4a00689a0a080ecce1215ded233572

Observation a0f6372a-b356-40e7-b50d-6d52a838b415 · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.664584Z

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.

source=pdf_text observed=2026-08-09T13:29:57.084621Z digest=sha256:277ca381c78d0483c603768e78e6dc811260d29ddddb09041174cf93f19cbb16

Observation 3386f0be-e452-417c-8aa6-74f88aa0198a · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.653883Z

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.

source=pdf_text observed=2026-08-09T13:29:57.088461Z digest=sha256:a030c483b5c2970d69579797677a0c40403e7e5130fd355fb0a726fab06ade2a

Observation 59531921-97a8-44cd-b243-6589bb9e04bf · outbound

This paper cites Examples include datasets such as Civil Comments [1], Wino Gender [2], WinoBias [ 3], BOLD [ 4], CrowS -Pairs [ 5] and BBQ [ 6].

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.643449Z

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.

source=pdf_text observed=2026-08-09T13:29:57.092683Z digest=sha256:748a25e7e477f079de45b60343b6ba4d724817c1c995bd45e5157d2d28315801

Observation 867e7066-0ffd-472f-8a2a-46c7afc59847 · outbound

This paper cites It works well for tasks such as identifying organizational bias, evaluating societal stereotypes, or aiding in inclusive policymaking.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.631993Z

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.

source=pdf_text observed=2026-08-09T13:29:57.096328Z digest=sha256:f8a847f1754812ca6b3bac092d92cba82667712d45f4c325ed8558af9e01e062

Observation 5f35ea8d-bde2-481e-99e8-2fd2b6480a3d · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.620025Z

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.

source=pdf_text observed=2026-08-09T13:29:57.099681Z digest=sha256:9df422f9b3968297c9e3ed93895383974af23f58c5bee732f63e1fa907fd674b

Observation 56ecd2ab-20ea-487e-a33d-edc7bb41e9e9 · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.607149Z

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.

source=pdf_text observed=2026-08-09T13:29:57.103428Z digest=sha256:3250c6e985c8bf17589a46cbf75efd38f6129fa62e312c0690690d3b7224a419

Observation f127aaee-8481-4528-9aeb-3fc13bc596c9 · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-08-09T13:29:57.165685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:29:57.165685Z digest=sha256:d2de3e80459733441cf1271955f0f385cdf27ca2060705e435c230ab659cde5a

Observation 23297e8d-e27e-4a4c-9ab9-e943741abeae · outbound

This paper cites linguistic hegemony in machine learning.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping linguistic hegemony in machine learning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.586353Z

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.

source=pdf_text observed=2026-08-09T13:29:57.111099Z digest=sha256:02e9088fd6ce81ff4c6dd60c36ae81280f75a79d81cfc9add3f9c3520c478220

Observation d572ad1b-df82-4550-91ae-81fcb841732a · outbound

This paper cites religion, disability, caste, etc.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping religion, disability, caste, etc

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.574610Z

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.

source=pdf_text observed=2026-08-09T13:29:57.115012Z digest=sha256:a9c15c88e836f87bc9400b68c474ed01a6ec61a96cf1323638a2bd89f1fa7b39

Observation 9e6a6524-99db-4a4f-a6a4-e00850a06633 · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.562469Z

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.

source=pdf_text observed=2026-08-09T13:29:57.118761Z digest=sha256:f1fd9eedcce1b41745d123c75f9cff3cefa234d30ce15f0cc1a2ed49a9269bc9

Observation a21dcdec-8704-4d0c-a13a-6f510ddce0b8 · outbound

This paper cites Examples include datasets such as Civil Comments, Wino Gender, WinoBias, BOLD, CrowS -Pairs and BBQ.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.551068Z

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.

source=pdf_text observed=2026-08-09T13:29:57.122754Z digest=sha256:9f52f5dfc7e34362fe90f4f76349b223c5f104f1ea2a55a8177e1712e6e132f5

Observation a9a0b36e-1782-4c1b-b988-91b73c3167dd · outbound

This paper cites A benchmark for toxic comment classification on Civil Comments dataset.

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

Resolution
verified exact
local_arxiv, observed 2026-08-09T13:29:57.309147Z

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.

source=pdf_text observed=2026-08-09T13:29:57.126722Z digest=sha256:221c10f48ff244016346e8e741c4dd4d4ee6820db76c8d0302b032480eac3c90

Observation 6eae78ee-b654-4e94-b2b0-33724fde51da · outbound

This paper cites Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.540256Z

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.

source=pdf_text observed=2026-08-09T13:29:57.130820Z digest=sha256:97331318f730f4a13606e7871ff4afa8910290f00d3d004746a93a68269c00af

Observation a9c168ce-71dd-4a35-81e6-b00378958ab6 · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.597098Z

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.

source=pdf_text observed=2026-08-09T13:29:57.107251Z digest=sha256:0ad26993b769f3737f9596716aa773691171ca5cf78a55605031571d8624a4d1

Observation 32528210-5015-452d-a5f7-663a091c96e0 · outbound

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

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.529096Z

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.

source=pdf_text observed=2026-08-09T13:29:57.134567Z digest=sha256:c2cc1f765126752e5c2f13d132e6f273b27a8810219844d78a124795655f43e1

Observation 3c3b6287-8dba-43ed-8877-4ade4edbc1b6 · outbound

This paper cites W., & Gupta, R.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping W., & Gupta, R

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.518009Z

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.

source=pdf_text observed=2026-08-09T13:29:57.138411Z digest=sha256:d3dae10b64ff6a204d901c469ebde88072dac8aff250a65c4f0c5b67f92eb780

Observation 35f4e49b-46c3-4c94-8e1a-a89e31ae2804 · outbound

This paper cites CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.507522Z

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.

source=pdf_text observed=2026-08-09T13:29:57.142574Z digest=sha256:9b90c36b39229212160580bdbb3003b8d808702f7052a0f51907b61369462c57

Observation 4eb89ec3-16b3-4319-8a9d-dfebbc9ae794 · outbound

This paper cites BBQ: A Hand-Built Bias Benchmark for Question Answering.

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

Resolution
unresolved
no resolver link, observed 2026-08-09T13:29:57.146077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:29:57.146077Z digest=sha256:8a074d05d18acea7e864467dffdcd4d3d600845a2ca882ca75f4d2c2dc1aebfd

Observation 9d762ae8-41c5-4556-a78b-f00248e6dfe2 · outbound

This paper cites Language Models are Few-Shot Learners.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Language Models are Few-Shot Learners

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.495622Z

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.

source=pdf_text observed=2026-08-09T13:29:57.150285Z digest=sha256:2cf7d17ce8720bbdb5dc7f4fd3243438e7b5985e187591966ebd35d9c2cc154c

Observation 4c4c16d9-d80a-4429-a81b-36af77f52c86 · outbound

This paper cites Language Models are Unsupervised Multitask Learners.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Language Models are Unsupervised Multitask Learners

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.485058Z

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.

source=pdf_text observed=2026-08-09T13:29:57.154034Z digest=sha256:f6535114973455ab7bd8c83f04484f47b8a06528799d1ab73970c514aa7104bd

Observation 7e7537f5-ccda-47a7-8052-cd218002afe6 · outbound

This paper cites On the Dangers of Stochastic Parrots.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping On the Dangers of Stochastic Parrots

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.473702Z

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.

source=pdf_text observed=2026-08-09T13:29:57.157611Z digest=sha256:7e4950c9ded1e15202c0c3c79f7bba17452c1b096c3aed55502a0efa1fe2ec08

Observation cfa97d3e-76b8-4846-855a-2b986688917a · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

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

Resolution
unresolved
no resolver link, observed 2026-08-09T13:29:57.161423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:29:57.161423Z digest=sha256:294c51374dec393b5d9cb8dee6e3a8010e39cbbabfe8419f5dcfe82706355292

Observation 742071a7-51f5-48dc-95b9-46f974d3ac76 · outbound

This paper cites Demarginalizing the Intersection of Race and Sex.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Demarginalizing the Intersection of Race and Sex

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.463786Z

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.

source=pdf_text observed=2026-08-09T13:29:57.169893Z digest=sha256:45ecd4c43bda8dcf0107276e4bb2311717dcefa58fdcf3ee7e5cc45b97641b83

Observation 80288f0b-c626-4b60-9593-2738771bbb8c · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.453268Z

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.

source=pdf_text observed=2026-08-09T13:29:57.174034Z digest=sha256:672cef25a09f1b767967ab9df19b7928cac4b73737250b8d7eebee0e036b66e6

Observation 1872b909-a610-442a-8f0b-73f7382a07c2 · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.442075Z

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.

source=pdf_text observed=2026-08-09T13:29:57.181675Z digest=sha256:2fddd7739d92f8bd7faaeb376f4316d3c41ef2d9e58f6c877fd654684f339e3f

Observation f1b45c23-5f54-424d-8e17-64225faf69d7 · outbound

This paper cites Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.431767Z

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.

source=pdf_text observed=2026-08-09T13:29:57.185499Z digest=sha256:d0d0992e39decfce73d05e1b80d8e9c9abcb1a47b608c6c4452998e4d681d32c

Observation 2656677e-4f63-4ac8-a9e6-e67f1471f398 · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.420187Z

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.

source=pdf_text observed=2026-08-09T13:29:57.189299Z digest=sha256:2a4f2f18a423e2a1c56440d48f83fc1bdef05e8d7f06c6d43cd9998758764c7e

Observation 8b4b3a4b-bfa6-41de-8a26-3a618e044947 · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.398473Z

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.

source=pdf_text observed=2026-08-09T13:29:57.196631Z digest=sha256:15b3055abc5fe6f6113f9c3b937979470c84591771a040f1e7a3c5e6b9ff03ad

Observation 37264f38-9276-4966-98a6-36dd2d0cf4eb · outbound

This paper cites The Pursuit of Fairness in Artificial Intelligence Models: A Survey.

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

Resolution
unresolved
no resolver link, observed 2026-08-09T13:29:57.203680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:29:57.203680Z digest=sha256:ecf39908f17a2906865f28fd74528c667f6f22a7e645bf0f3091f3a3d5a0a359

Observation a625959f-6855-4ffa-9de8-4e7db6c4c4fb · outbound

This paper cites Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.372119Z

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.

source=pdf_text observed=2026-08-09T13:29:57.207709Z digest=sha256:c372b0ec0557d21f430af6ff0e4478c917c915ddaae346bb86a2a28b9438ba4f

Observation 27b400d3-f938-4ed6-989a-3fba45be443b · outbound

This paper cites an unresolved cited work.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:29:57.360474Z

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.

source=pdf_text observed=2026-08-09T13:29:57.211358Z digest=sha256:5acca44438ad52941e668acbcccf9d5682eba718c013e1a439f48098304dc429

Observation b70e4fad-bded-479a-8041-8df1415c72fe · outbound

This paper cites Debiasing multilingual word embeddings: A case study of three indian languages.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.334574Z

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.

source=pdf_text observed=2026-08-09T13:29:57.218422Z digest=sha256:518661989af6fdc5552ab465ddf22c30259cbd341efa436bb416af1c6be5f22b

Observation 51e3fcc2-918e-4710-a3c8-cf7b85cf1d89 · outbound

This paper cites Worst of Both Worlds: Biases Compound in Pre -trained Vision-and-Language Models.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.322066Z

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.

source=pdf_text observed=2026-08-09T13:29:57.221938Z digest=sha256:2eea53334da05b5de566731d03f2f7c9c0338be25f5df32de4a1542c4846cd04

Observation 15ef53e9-df4b-4614-8045-0498d2704d79 · outbound

This paper cites RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.409315Z

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.

source=pdf_text observed=2026-08-09T13:29:57.193044Z digest=sha256:9711e300688202c1a4a459f1f8d9b85fbf7d49984b0a9259559b18ed59f4731c

Observation 2378b979-ec27-43d8-bb1c-eef2257a1958 · outbound

This paper cites A Survey on Bias and Fairness in Machine Learning.

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

Resolution
unresolved
no resolver link, observed 2026-08-09T13:29:57.177965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:29:57.177965Z digest=sha256:4ac35b9a73f9794e585910b86e2dd4f898b9c05e2d8b96c83fda1a08a9ed5878

Observation 700f3a31-9cf2-46f2-96df-8ee3cafcfa12 · outbound

This paper cites Benchmarking Intersectional Biases in NLP.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Benchmarking Intersectional Biases in NLP

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.348185Z

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.

source=pdf_text observed=2026-08-09T13:29:57.214854Z digest=sha256:cd4d1ef2e44db445cbcc7ce0ae66d3be17a9da0695bdb7440e292a116ff44b8d

Observation 6734123a-8c8c-41fe-9b0e-3103c7780954 · outbound

This paper cites Improving Bias Mitigation through Bias Experts in Natural Language Understanding.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:29:57.386055Z

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.

source=pdf_text observed=2026-08-09T13:29:57.200121Z digest=sha256:7fe7926388f9e9b27d67340ca5dc5d493f0c6ce0a7531844f614b90c347e3b58

Pith citing papers

No inbound Pith citation observations are available.