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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.068583Z digest=sha256:ada1e3e0de6eafb4f494ac7f43cd73607e25bef85a3edfe8adb8c9ebff4b7b76

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.072894Z digest=sha256:bf5ac7925288064bdaf42904344bf57b9e48ed2aba38c9da57f3b60d71b3d4f8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.076860Z digest=sha256:db227fd6a309abdb152d7f72f6230f3ca6f3e17cc998ae509b9edbfcc9869664

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.080848Z digest=sha256:dd456b6548f51f1288795fbb3daec5ae917f619589b77f5ea54ff44e5004b9b9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.084621Z digest=sha256:4a8d2bb24841cd8e864773ceb91c82706c3d9eb098561ace1abca96d7005d095

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.088461Z digest=sha256:5690e2257bfd79a3bc31ab5d8bd586dcabcc69ec29b9b1782499ebbf968b84dc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.092683Z digest=sha256:6c04d158ce76863ad97c7dea78631e765e4be54930470b5edac19b65791cf079

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.096328Z digest=sha256:654330c500a98bdfaaa07e403ba2fbc5fbb8b4fa2a98d29aaac92f31abaf5117

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.099681Z digest=sha256:dd4b5740a8e489e77a6fc027d90d5f375ce5cfbeee7714a16d2f227a4236e3bf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.103428Z digest=sha256:0d0b0541274809c05886c3bcc29a6ee5c85e55883e34d1abd70c90e7de6cef29

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:af715acb122e50cc58104e467df9c6cc672dd8472d2d9b50f60c37d6228751bc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.111099Z digest=sha256:1550630b89e4f0ce0a7450367326a54aca8a57ab28ca702e88625c83d1feac6b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.115012Z digest=sha256:5111d563ed1687f8d06c48aae24a2696fe676b739e6db42d988cc76231f24546

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.118761Z digest=sha256:f9fd01e3f202c931becbdb9b1b51bd13399f68682e7d6d54f372c6faa65abce9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.122754Z digest=sha256:a6ec82ee016e85f34122b2d637d8c7fd4f40323f3628f85dd263d0312142b378

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.126722Z digest=sha256:9cf850457eadce8973dcadec2a8ed339729c9e830e334e06071575fffdfdd032

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.130820Z digest=sha256:fa905a2cb386b706fdb5fd64c7b6358805e8064ee13e180b54b99f6627d9a42a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.107251Z digest=sha256:086d38e0511e73b6ce872e990fa61fb1d1ae842b4514d09e23d0961ad8b8446e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.134567Z digest=sha256:ebec12769a104fa407d9965298a7a89623a7c7cdd0de7a502b6c9c207fb3b6d4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.138411Z digest=sha256:c32a584ed52fd754603ccdd35febe4aa9c8f0412ae00117abfe8a1f0c18794a7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.142574Z digest=sha256:c3d823b5ce27e66d6ffc3e08b61d982a9ee9fda84adcd3db2ab70abfada9c0f9

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:a5485182dd61c9110bda49232902e1b71811863bd84e42b934fec5aa98bb7f90

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.150285Z digest=sha256:1feda9fe0f1249278ae6a9b612ce16a1723c5e73604f429db35e6e17235368eb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.154034Z digest=sha256:004fc3a82c457d65bfaa041b0dd5e5ed22878c8d4bfe6909c495e89ab9c9ac99

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.157611Z digest=sha256:b5ac1b470bc4e428bd0655bae3aa22933dfd74ce8f41bf6bba21437343094cbc

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=sha256:4e967f1e294d9daeaf894d584a992f1a2716767576a0ec24823ae01e9e2e339e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.169893Z digest=sha256:56958f1d308485fef33591576c2732bd035bc7beb8c1e1c0e622474cb73fa597

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.174034Z digest=sha256:1a9045b72e3ce2db12cb8500d9a78ea380d504056e065f797a24212d6891a202

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.181675Z digest=sha256:5d4d5e34c35a153f77531f2a8514256136c646287eb5f55d8236c304d3792e17

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.185499Z digest=sha256:3363c8d1c579d2cd960cf2a095af2cb1d415e7621368a25626e8c266d3d13c71

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.189299Z digest=sha256:81ce6efb2541ac175b2db73bfcb9c09f75cdb3bd3a1d9c9521ad8ea1ff108acd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.196631Z digest=sha256:5233e25048e227b10e8866f90738840444cd68890e54852d28de775853ffcfad

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=sha256:68daeb45b543857319f0d3b308c2d404c71c2f41741a02aad64ed24a8c8e7811

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.207709Z digest=sha256:8d2a509e1314d7be273e8bf22ae9f5cbeb0907c0668a3b2748cc451a31a7a3b0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.211358Z digest=sha256:61c1a336adaab5955ffc0f89c07f16e033ca01d654e90cddb5381eab5c8f7cd9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.218422Z digest=sha256:806056bd73532eccb14715d91f37331788cdce75caad22201e5f26f1c70ee7de

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.221938Z digest=sha256:c5a249b1324904e90ff5e8c1f3d63712e86830addc0e3894f0db812ed63f2f2d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.193044Z digest=sha256:1320ce329fbfc3669d30cad6e0c0953d87a13ebd38d3a7ab38da74945916099f

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=sha256:33e3b9ddbc850882b91694a28e7d4b15b889945d5155a5157fa81c0d8cb79164

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.214854Z digest=sha256:83d5e9c5b589b0834d7c35379c6ee8e0a77e73f1a6024805fa09b9f630d6bea0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T13:29:57.200121Z digest=sha256:ae74798b53697d81b6dc539c25ca0b91a0bd7bbf452b7d4460ebdd8bc0b5b324

Pith citing papers

No inbound Pith citation observations are available.