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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 2026-08-10T06:31:04.303077+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:d2af5755ec9830bf968837a27d6712d6c0fc8f23391db5f7988bb71cbfa107ee

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:c7224effe1a94a1d3ba2869afaac7a505baa128c90a179d190b780cf307dd718

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=sha256:40589ec774d152a0ce86643eddc56b0cf112feff8bc31d3a61b96bd4da312798

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=sha256:66e24dad1059f6765b0a9a8083d0a81f851412b2130a479e0657ca0cb0f7979d

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:aa08ed83bb2ef7a71c2b6bf34e0657231326f0111e3193d668e496b81d771f66

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:fc3c49769c1ed79ac51494862c6d0fcad2c800f2357f35adf2f4a73d30c3a5e1

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=sha256:3ea2aadf91c0d8a5f1b248d0c6f01e47ae038dc038b370e06082e836e6de505e

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=sha256:0993a2ac0f316ba6974df08456d368caf179c21f8d8789eaaf2cb89d22a6f64e

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:ac10f75815e281fa1da6854d8e72fd21f2a438a4fd67f1930931f727231001f2

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=sha256:9ca0578a7312a46c666b15592399f37390e05189ee930219b2a2d267d7b723fe

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:e7dbdc91b2cc09c82b214761bfe0c414860ac430a61dbf601dd426a5b071a553

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=sha256:56f5b09e6bb7df0e3c83a80a1bcbb3a8ea3ed30d0ab85de72a6a45827a21d457

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=sha256:3584426f959ed80c235a5dd21cd4b47a3884f80584eed7735c4ccf7062635db0

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=sha256:2e8d447f68e5832236b99bb5e96c14396d39054c3cb9f392b9c3cf7116ab42bd

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=sha256:515fd40ee738090200126c8cca8ae1ecd7f838a1ee4b244341b439ec35809629

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:b72922d864ebc24067fe5f846b61492dd9345af3c11bbae0de0aa816058f05d1

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=sha256:6e478b3f1b6b6aa81dc45c3c2279cb8c20dd463557a8465f8174274c24134072

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=sha256:2454cf7acea2c1ceb14a7b334b5fe29b8c91547a2a850705568ce74a8851bdae

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:a440ec2db44beba7949fe718f0a4fe8629d49b85799c5ad545c635662b287fc2

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=sha256:2edbc80037f05592425144c8acffaaac0af57e98f287a5ae530a533bed7994d6

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=sha256:6eb9b2f92b98f62fddd1fd186687782fd2338420dc653092aeed9e7ba59c3b6f

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=sha256:809b8feaa8efef26d26295956372fc85b4bb0c254cb049e06e7c731842896fcd

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=sha256:365b692ff79412c812c320d285f584ccf1de3080d1e7440f5033564204770092

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:e2cfe7f66c1ee3d4a67e2de98b19f26bf36f1f121cec9e1b610102a3dd640247

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:f65a992b7907d74537c263fc109aff5ffa3dac2f08c93190c53823a089929b91

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=sha256:74001a6873b3a1edeb92554c6ec09f0bac39a64c3620666c61d38c4a4990739b

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:ed4eaaa181eb34c4c54dc3d2d708656ebdd18da394c56f97423ad41cfb56d66a

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:e49713935e2386c6918a1fb10f5020938ff1258820cacf6b62022fffeae61546

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:b5e057d0687f3e37065767935d09c0c2d442fcc6c2bfc989e0f9126e932e479a

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=sha256:24ae17ea808b69f010d4fffdb434e06ce2c93ff45dfa9e6cc462abf1ed5b4bd6

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:d41ec1434937ddad802eef71804309ac725241de195a67ea389ec479da0db687

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=sha256:0332ff9ab192a5f7471be1e94c2322fa17b141e237e539402c04a362c1f04559

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:e83cb3c42d963ea922ee447d43b47a591f657af75e5edff35ec1fcd64502d4e4

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.

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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.

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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.

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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.

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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.

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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:d2f75742fc7967b6e7ef9c1468de65b7ccfb22ac1fa7f3694463ae8ab987653f

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=sha256:10b3c0532657b275bca50f5a1d6be46d23b4ce050d6cb527557ceb3f435cd493

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.

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Pith citing papers

No inbound Pith citation observations are available.