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Paper Citation Record · LEDGER

Learning Representational Disparities

As of 23 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.17533.

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

pith.paper-citation-record.v1
2505.17533 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:29.775563Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

42 of 42 outbound references displayed

  • verified exact1
  • verified fuzzy31
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ab5ad18-6a3c-4917-9c81-809d0a75f036 · outbound

This paper cites Machine bias.

Learning Representational Disparities Machine bias

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 91260128-55b5-44c5-80e6-ee2c3eb3a8fe · outbound

This paper cites Fairness in machine learning.

Learning Representational Disparities Fairness in machine learning

Reference 2

Resolution
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Source-reported events for the cited work

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Observation 71402d6e-c98e-4861-b055-7ea10c814890 · outbound

This paper cites Toward operationalizing pipeline-aware ml fairness: A research agenda for developing practical guide- lines and tools.

Learning Representational Disparities Toward operationalizing pipeline-aware ml fairness: A research agenda for developing practical guide- lines and tools

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 89076a1e-253a-4046-af56-21c0734c5c9d · outbound

This paper cites Convex optimization.

Learning Representational Disparities Convex optimization

Reference 4

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 28bbc3ae-60c6-45ca-96d2-23445094d538 · outbound

This paper cites market makers.

Learning Representational Disparities market makers

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:37.128147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:25.356202Z digest=sha256:3b13064fd8bec3bf233c541e0285fbfa397708845f87057a3b4a9b48fe52eabe

Observation 759310dd-117b-406e-9f60-a46e2ae47dc7 · outbound

This paper cites Clinically applicable deep learning for diagnosis and referral in retinal disease.

Learning Representational Disparities Clinically applicable deep learning for diagnosis and referral in retinal disease

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:36.954734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:25.565881Z digest=sha256:ec054a77d5eb0184f534c089735a5d998fd7c251f3dc7359f7d1f0d9cdb5336f

Observation 441221e5-bb3e-42e5-a465-1012f6c2bb74 · outbound

This paper cites Can we reconcile the declarative memory and spatial navigation views on hippocampal function? Neuron, 83(4):764–770, 2014.

Learning Representational Disparities Can we reconcile the declarative memory and spatial navigation views on hippocampal function? Neuron, 83(4):764–770, 2014

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:25.721364Z digest=sha256:d2f98089bd5d6618c6dde50d4e00a29c247d56789841a029e3e794e07804c94c

Observation 0bf58bd0-86f7-48ff-ae2e-f7d47b4e4fd8 · outbound

This paper cites stop-and-frisk.

Learning Representational Disparities stop-and-frisk

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:25.861080Z digest=sha256:0bac6c34fea921976d6024eadbf7d678afe7c1db40f2410fc1741337f54b0d56

Observation a4d29afe-4128-4866-94d7-a615f9121808 · outbound

This paper cites Deep learning.

Learning Representational Disparities Deep learning

Reference 9

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:26.004839Z digest=sha256:ec20520fcbda83d69c184218287a536b30bae23b0cb5c5328065a4f47baed59a

Observation b4936e11-c991-47eb-a4d5-5449439794db · outbound

This paper cites Algorithm-in-the-loop decision making.

Learning Representational Disparities Algorithm-in-the-loop decision making

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 138a319e-1459-4688-b9f3-fcb1e26ec30e · outbound

This paper cites Learning fair representations implementation.

Learning Representational Disparities Learning fair representations implementation

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:26.346968Z digest=sha256:a73a1869aa2a62d4ed6ed695a80e6a61e289ed6ae18197cc92f46aa5506b94ba

Observation 7ddb2fac-785e-48e9-b7ec-3d6e57907718 · outbound

This paper cites Classifying without discriminating.

Learning Representational Disparities Classifying without discriminating

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0f0419a9-f3ab-4576-a3de-10c642fbacd8 · outbound

This paper cites Fairness-aware clas- sifier with prejudice remover regularizer.

Learning Representational Disparities Fairness-aware clas- sifier with prejudice remover regularizer

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:35.884334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:26.601445Z digest=sha256:2e08a481a5918a6369e25881378439cf996101ebd9c686df195222e87145591e

Observation c34cdbb0-6df4-4555-bd41-7c3726167fa2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning Representational Disparities Adam: A Method for Stochastic Optimization

Reference 14

Resolution
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no resolver link, observed 2026-08-07T14:51:26.755552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:26.755552Z digest=sha256:d9fe9d710646cd8b88396d373bd99d698b578d8c30ba6d28d138e65c9bd70556

Observation b3531608-41c0-42ae-abcf-0f93c9282ee1 · outbound

This paper cites Scaling up the accuracy of naive-bayes classifiers: A decision-tree hybrid.

Learning Representational Disparities Scaling up the accuracy of naive-bayes classifiers: A decision-tree hybrid

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:26.826248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:26.826248Z digest=sha256:ab590804b0e89b0c98021bfb4581eb357c3c4a6be7049f6df5d566093b0f1444

Observation 813dafe2-d082-460a-8f5b-079f2bc2fad2 · outbound

This paper cites Probabilistic graphical models: principles and techniques.

Learning Representational Disparities Probabilistic graphical models: principles and techniques

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:26.936328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:26.936328Z digest=sha256:0680a0f2b3f4cad38f13200a13b1a2ee8889680360a2f67e9d801bd2af172ddd

Observation a58ddd1f-5281-4150-a287-3dab75823b06 · outbound

This paper cites Learning Fair Representations with High-Confidence Guarantees.

Learning Representational Disparities Learning Fair Representations with High-Confidence Guarantees

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:51:29.942208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a5eb7f1c-82d8-4176-9d7e-d7eb9243d894 · outbound

This paper cites Learning adversarially fair and transferable representations.

Learning Representational Disparities Learning adversarially fair and transferable representations

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:35.703618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ca1ff46f-f8a8-442c-ae2b-dd916e19d062 · outbound

This paper cites A survey on bias and fairness in machine learning.

Learning Representational Disparities A survey on bias and fairness in machine learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:35.522580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e96dfce6-2f50-4574-a893-15d27b5a5deb · outbound

This paper cites Provable detection of propagating sampling bias in prediction models.Association for the Advancement of Artificial Intelligence, 2023, 2023.

Learning Representational Disparities Provable detection of propagating sampling bias in prediction models.Association for the Advancement of Artificial Intelligence, 2023, 2023

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:35.356675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:27.456465Z digest=sha256:e16b079141a22f42b177bf162ea537a2f38bb987bfad665ef4413723cb27d794

Observation c4a39299-a4ef-45ce-8253-bff1b49dfcb9 · outbound

This paper cites Mental representations distinguish value-based decisions from perceptual decisions.

Learning Representational Disparities Mental representations distinguish value-based decisions from perceptual decisions

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:35.180467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fda664f2-0572-4ded-ae48-c985b10a9238 · outbound

This paper cites The medial temporal lobe memory system.

Learning Representational Disparities The medial temporal lobe memory system

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:35.086477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9449606c-ae87-499a-a075-b3659db858d8 · outbound

This paper cites A framework for understanding sources of harm throughout the machine learning life cycle.

Learning Representational Disparities A framework for understanding sources of harm throughout the machine learning life cycle

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:34.833346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:27.956916Z digest=sha256:cad0113b9170a2431dca1d2db2875fa2a0f267b10a7902a62353e4bd9995ebc5

Observation a6eb6b1d-c737-40a3-8bed-0be03957c11a · outbound

This paper cites Memory, perception, and the medial temporal lobe: a synthesis of opinions.

Learning Representational Disparities Memory, perception, and the medial temporal lobe: a synthesis of opinions

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:34.538215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:28.123302Z digest=sha256:fec0cc52cab68e098bd5c398130a46ff902d6a5d99956112842a5091693d923b

Observation 1b7eab33-9691-4c35-8353-5f179167d666 · outbound

This paper cites Nudge: Improving decisions about health, wealth, and happiness.

Learning Representational Disparities Nudge: Improving decisions about health, wealth, and happiness

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:34.242693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:28.290059Z digest=sha256:ea128be88f022fd6e9e617823600ef85c6e0ba1a9426c00a917be82babde1509

Observation 74e591ad-f855-4988-99be-6d925c27bcb4 · outbound

This paper cites Learning fair representa- tions.

Learning Representational Disparities Learning fair representa- tions

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:33.926993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:28.450736Z digest=sha256:6d1f056bbccbf89e499f665945805cc4fb485573739178a6ad8e6c354321cd25

Observation fa30fddd-d5a8-4d9d-a617-ad3811966a49 · outbound

This paper cites Conditional Learning of Fair Representations.

Learning Representational Disparities Conditional Learning of Fair Representations

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:28.557536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:28.557536Z digest=sha256:a2b3dee3e493700602da15be304d2ed2b8bc07f0bbe52e8bfa4857d7abed079f

Observation 15c866ea-45ca-490e-9a18-93293e3508b6 · outbound

This paper cites Inherent tradeoffs in learning fair representations.

Learning Representational Disparities Inherent tradeoffs in learning fair representations

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:33.659832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:28.651414Z digest=sha256:b94c610ffc39441f5320680ace92d0a90518d7ed2ac29453726bdd23768d4836

Observation 339837eb-01e7-4364-9613-48162ad354bc · outbound

This paper cites an unresolved cited work.

Learning Representational Disparities Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:51:33.427190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:28.748774Z digest=sha256:751fcfc5225dbf6ef66ff8b7abdb2aec3b57549f52751b9014fbf4e7eeb67364

Observation 84bdc67f-d71f-4825-8d06-542dce213eda · outbound

This paper cites an unresolved cited work.

Learning Representational Disparities Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:51:33.136885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:28.833795Z digest=sha256:bd271c8b31b7bfe4b30e3f70df145327a4dfe6d9d6cc8e6778b5f5ef7c9d4612

Observation 2806b588-8946-4e05-9e48-1c80bacb4009 · outbound

This paper cites When δ <0, we show that the minimum loss attained with Dw(xi, 1) − Dw(xi, 0) > 0 is strictly greater than 2 p |δ|.

Learning Representational Disparities When δ <0, we show that the minimum loss attained with Dw(xi, 1) − Dw(xi, 0) > 0 is strictly greater than 2 p |δ|

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:32.858475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:28.954249Z digest=sha256:0755f11af64105773660b6eb31755beef8ddfc3d0a2ff6205a7cc0c39461828b

Observation e231edad-1468-447f-b206-851e012706fc · outbound

This paper cites Further, σ′(x) is an increasing function for x < 0, and x0 − k B2 w 4 ≤ x1 + (1 − 2k) B2 w 4 ∀k ∈ [0, 1] as δ >0.

Learning Representational Disparities Further, σ′(x) is an increasing function for x < 0, and x0 − k B2 w 4 ≤ x1 + (1 − 2k) B2 w 4 ∀k ∈ [0, 1] as δ >0

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:32.576746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:29.018982Z digest=sha256:9f662944c6cac8ba4af5da12bbb57483052c6f14ef6b04dd4bbb6586d1ef1d81

Observation 77c49c05-19b2-422a-8835-5a755a2aab1d · outbound

This paper cites an unresolved cited work.

Learning Representational Disparities Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:51:32.343008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:29.108567Z digest=sha256:5e13b524c91c6bbe5fa9a89667f1d8fe61eaa32a687f5fa9ec3e83bc984b7f6a

Observation abafc4b6-89ad-465b-a20d-50334f62d601 · outbound

This paper cites an unresolved cited work.

Learning Representational Disparities Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:51:32.116255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:29.176778Z digest=sha256:12e73958a73ca98da86858640d3d6a6e29ae133285f60c3238447e786b801e58

Observation 8cf4e438-a2c1-4563-ba15-e8aeac0e249f · outbound

This paper cites (16) 19 Using Eq.

Learning Representational Disparities (16) 19 Using Eq

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:31.849762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:29.276172Z digest=sha256:bd1f3a9a286d2b576d9dedaa00dc76ef4780f70aeb4d91dc18c4562c178f16a0

Observation e382b2a0-2cd5-46a9-8b8d-8fd8dbb2b0c7 · outbound

This paper cites Here, Bopti = 3 .47, w = −1.735, wSR′ = 1 .735, biasR′ = 0.

Learning Representational Disparities Here, Bopti = 3 .47, w = −1.735, wSR′ = 1 .735, biasR′ = 0

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:31.559751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:29.373179Z digest=sha256:294d302887c5edd0c6836feebd6019644be931f5dfa3b76600f36bc7957ee5d8

Observation 3ca0c810-394c-4deb-81e9-c05a6fc02745 · outbound

This paper cites Here, Bopti = 4.418, w = 2.209, wSR′ = 0, biasR′ = 2.209.

Learning Representational Disparities Here, Bopti = 4.418, w = 2.209, wSR′ = 0, biasR′ = 2.209

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:31.243299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:29.450393Z digest=sha256:1563e2b0cacef218d99d58dd97917747d6399f9db52e1fef6d45ecc4c2d36619

Observation 35f082e1-266c-47cf-a554-74e032e8e2ba · outbound

This paper cites Here, Bopti = 3.47, w = 1.735, wSR′ = 1.735, biasR′ = 0.

Learning Representational Disparities Here, Bopti = 3.47, w = 1.735, wSR′ = 1.735, biasR′ = 0

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:30.962438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:29.530459Z digest=sha256:3236b5164943abf61b7a8b19273192cb7529510a476d75375a93f0fb415906fe

Observation bf2d03aa-987a-46e6-afed-67511df6df1f · outbound

This paper cites no change.

Learning Representational Disparities no change

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:30.718614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:29.619234Z digest=sha256:e848f31e8491fb6b51167df661770563168f06478f5979e323fd8251f1a3fe24

Observation f8afcd3b-4591-4834-9c72-1d453ad48a6d · outbound

This paper cites Each record has 20 attributes classifying account holders into a Good or Bad class.

Learning Representational Disparities Each record has 20 attributes classifying account holders into a Good or Bad class

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:30.469898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:29.676570Z digest=sha256:951e67e7cc9523bbb5f9b4d77a860cd65d92a2f6649468e1c3ec84a4c5d9f1c5

Observation 9ee474ad-ef1b-4e54-b828-b4a5107d643b · outbound

This paper cites Each record has 14 attributes classifying whether or not an individual’s income is larger than $50,000.

Learning Representational Disparities Each record has 14 attributes classifying whether or not an individual’s income is larger than $50,000

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:30.242104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:29.725971Z digest=sha256:035413ce6691c87171c2bef7a19e031b846d9b6a4d7c14ea5085917725104513

Observation 6f1569e1-2ee8-446f-a8ab-adc770c737c1 · outbound

This paper cites We use features similar to the winning team, Market Makers [5].

Learning Representational Disparities We use features similar to the winning team, Market Makers [5]

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:51:30.084647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:51:29.775563Z digest=sha256:68eeb61fd2cf733fdfe85bcc3dacac05e731e01f180ca74666f8d4e457080568

Pith citing papers

No inbound Pith citation observations are available.