Paper Citation Record · LEDGER

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment

As of 12 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2502.07695.

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

pith.paper-citation-record.v1
2502.07695 v3

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:58:48.472984Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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 exact2
verified fuzzy9
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f18b754b-3eef-4d27-849d-2dcb5a7522a6 · outbound

This paper cites Papadogeorgou, and F.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Papadogeorgou, and F

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:58:49.314569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9d671a57-87b5-4ec6-8453-ba9eae0e57f3 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.299177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9abe6d93-73f0-453f-9a60-2c4efafceb6b · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.283298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 33867866-7264-4759-a1dd-b9e6e9630606 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T11:58:48.302226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acb0e353-c788-4503-94ad-cd9c13003239 · outbound

This paper cites Chetverikov, M.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Chetverikov, M

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T11:58:48.306911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd12b19c-775d-4dc3-a629-91a3e9d35eed · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T11:58:48.311275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 764b2c19-977e-44eb-9c81-8ef6a21087dd · outbound

This paper cites Shin, and A.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Shin, and A

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:58:49.240052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f91daee8-1c57-4ba6-a4b2-4a5db956f0d2 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.225130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d180019f-223d-4ac1-8750-6c06b59f7d35 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.210292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c1ed4e13-c2aa-414f-aa7d-571073d0fc10 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.195058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8672e6b0-1686-40c2-a9ec-0d69718e370c · outbound

This paper cites State of policing: The annual assessment of policing in england and wales 2022.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment State of policing: The annual assessment of policing in england and wales 2022

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:58:49.180692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ddea2c1e-c095-4c28-a61b-41a70d43f7ee · outbound

This paper cites Causal inference and racial bias in policing: New estimands and the importance of mobility data.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Causal inference and racial bias in policing: New estimands and the importance of mobility data

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:58:48.782159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5933e295-0aa0-4cef-b386-13a78ce5dcb3 · outbound

This paper cites Johnson, and R.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Johnson, and R

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:58:49.165792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 343f44d2-f11b-497f-825c-9ebb66eddd72 · outbound

This paper cites Mitigating Included- and Omitted-Variable Bias in Estimates of Disparate Impact.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Mitigating Included- and Omitted-Variable Bias in Estimates of Disparate Impact

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:58:48.759889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a27aeb88-efaf-4b4a-abfb-cb9880b53c86 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.150354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f766b8b3-ee8a-4731-abd0-d13a9849ffa0 · outbound

This paper cites Otsu, and K.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Otsu, and K

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:58:49.135162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 73cc7d62-6217-4a23-be05-d90f0f813c78 · outbound

This paper cites Lowe, and J.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Lowe, and J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:58:49.118305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2781f533-e24e-49a4-9a81-92a4961d02a5 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.101515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 63818bd2-d886-447b-85ac-b7d5bd16f3f6 · outbound

This paper cites Ding, and F.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Ding, and F

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:58:49.085061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ddc9231a-7579-4801-b308-6cc337eb1b30 · outbound

This paper cites Saarela, B.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Saarela, B

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T11:58:48.376618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e142e2-5ca8-4d31-afbc-60f2990d3251 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.059296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation be91d121-6e96-4695-b912-7a8d6abe16fe · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T11:58:48.385718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 199f2cf5-9539-432f-88f7-ea24fc57d326 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.044929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b38505c1-1ef8-412c-a42b-6bdf269061ed · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.030298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e41df32d-6c85-41bc-bf5f-90628ba563fa · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.015504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4301b092-af6c-4cfb-b5e8-cd8f35613706 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:49.000141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 357e28e4-5c9c-44a8-a880-994437dd2957 · outbound

This paper cites Disproportionality board data pack.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Disproportionality board data pack

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:58:48.985215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ace26be-2860-4294-a689-ae607e0842d5 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:48.970171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2d6a3cf9-b8af-46dc-a897-6badf0b577b5 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:48.953846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8b044dcf-1475-408d-98ba-e59cbe458a75 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:48.938121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 81f40578-5c3c-42a0-997f-59d837a80137 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:48.923585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 639f1e7f-99fa-4609-8bc3-7d7bb39a0fa1 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:48.909436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c7e5032f-ab76-428d-9648-671ffcd26455 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:48.895309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7f732b13-1ee2-4ce2-ace9-fd06f1afed6c · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3aa91cf-cc33-414c-a0e0-9334c641db29 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T11:58:48.446742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d278674-fff5-4441-b62f-d2d980493634 · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:48.860547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 90519202-9680-45a6-bcb8-47bdb32c415c · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:48.844912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aca61d69-404a-42fa-bc50-491c142d6336 · outbound

This paper cites Validating Bayesian Inference Algorithms with Simulation-Based Calibration.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Validating Bayesian Inference Algorithms with Simulation-Based Calibration

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T11:58:48.460591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4459d99-538c-4b9a-8aea-fc5d371e58c4 · outbound

This paper cites Quinton, and B.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Quinton, and B

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:58:48.828453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 36e11730-2290-4615-ab71-d64b4270022e · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:48.813076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a15dab8c-242a-4758-ade5-21d145ca10ec · outbound

This paper cites an unresolved cited work.

A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:58:48.797455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.