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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.288610Z digest=sha256:b66261bbc4c2f9b81b99613c05155c45667f57bd02638084592240ba627a86d4

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

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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 2026-08-11T06:34:44.6726+00:00.

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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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.297517Z digest=sha256:fa74ed329055999037b3e624c3dd3dd22c37b91880cb544dde26836f8f2a34ef

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.

source=arxiv_source observed=2026-08-08T11:58:48.302226Z digest=sha256:f5a51f245fcaaaf4e299aa2e8db2cbc84d6f91f2c9a7c28735989534c2a68787

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.

source=arxiv_source observed=2026-08-08T11:58:48.306911Z digest=sha256:258309cf82afed6360cac0d86024df5d7b7e4a45f8f195e1fd4d18b6c62ef1d4

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.

source=arxiv_source observed=2026-08-08T11:58:48.311275Z digest=sha256:28fe2fcc4ca8c204a2c99af65dc9dcf443f71c654e9c7c3489cb5266c5ab728a

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.316090Z digest=sha256:c83ff05a16bb3e1f17ab9a9a41360e5297417bf39abb902f83f74df85c42912c

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.320301Z digest=sha256:5d89f2d0abb7a9cae8c8263fbeb630e114d438fd140bb9c5be5c38c0da77854c

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.325064Z digest=sha256:e03c1a97c4434729f5e8529590d0d4567c85254e865ed53c026f0cd82f521344

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.330070Z digest=sha256:66efaf78041f7e26a67a7d56ee7a9b6d3b00d42f5a86bf7200b717c51c7f003b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.334479Z digest=sha256:cd6361ec36375d1a9b334c15e4c953a0e7faff35931e98da3f1fbceb8a2719a3

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.339046Z digest=sha256:8d6bfb8f85d25991a75195a7a7837d7e43af560c22935ee3dcb9e8c045fde2d8

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.344054Z digest=sha256:6d0b8b73b9862f4ce2057bc556c2f6880bdeb73df6008bea269fb7677419060d

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.348520Z digest=sha256:4ef71cc683bfdf8a0ad5fdb195b3dbae6dc935adc08329986e94b1505b0bb927

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.353353Z digest=sha256:b97b41f27d7ea3b6cceb7d07b50483c01fb79eff79e7efa20227c07f8eec9c23

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.358072Z digest=sha256:90abd7126b0ed0466a9ed156c938126d3afb0654693a3e230a34dbb1df1ea6ef

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.362539Z digest=sha256:f8075bf813149435b5dd753192a7d97d048bd24f1a159138009018b9b490b0c2

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

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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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.367097Z digest=sha256:4636b23500e6d73e149eec8dc8e03852c09a0a52b3e7ec18d2e1d4b28462afa4

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.371777Z digest=sha256:9ed5c9c92dd7eb9bb83aadd96ebc603eb010b298b14b6aecbc2026121d26ba82

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.

source=arxiv_source observed=2026-08-08T11:58:48.376618Z digest=sha256:c67f8a4ccd8c0367d424b1307feba5aadc0e1b848621b12dd8cd6441cd04c69c

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 2026-08-11T06:34:44.6726+00:00.

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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.

source=arxiv_source observed=2026-08-08T11:58:48.385718Z digest=sha256:d386e784bbb601089ae601a3530c28b8c880a866974b17cbaed69c5423b0a2de

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.390191Z digest=sha256:0cc68982ccd6ae14227147dd8a2858a84fd98ae62967d6b5e75c9e300c8daa6e

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.394762Z digest=sha256:9fefa239702d37a45fa083b11e97a08269081e7c0857c913123c4a8144de3bf3

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.399217Z digest=sha256:81933192bfff900ed9e44aed7cdeb4eb77e62fb8f393892ea834f3a0a064ced8

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.403903Z digest=sha256:ee3f06fa577806b1b89fae47efe13e8136a0b2a8a13a6464cd67914c0195c756

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.408374Z digest=sha256:fe4525c1cfddba65cfaa425c2d06e5d1bc7b8e6c2fa3f992b22b1be5e1de8551

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.414330Z digest=sha256:386c54c287b49f86f85be08e58173b3ed55674ad76526d896054faf30a886b44

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.419122Z digest=sha256:3ba3fc883037af9889bdd71c9fdb25b3165a08d4df0a897787c85a61b57f99b6

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 2026-08-11T06:34:44.6726+00:00.

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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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.428324Z digest=sha256:a291ff31aef113010594becfe9e33bee1cc5cae40cae9cbff4d2e3622edb01f0

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.432874Z digest=sha256:7cf360634f6250586025b373b52ecf0eb7c0ad00c7bccc3450cf218b54a7f9e2

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.437608Z digest=sha256:3121b41c9b846dc114c6203f3981b02d7c5ae47749865f0936b5f0555623664d

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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unresolved
no resolver link, observed 2026-08-08T11:58:48.442110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:58:48.442110Z digest=sha256:bc40dcaea849755b4edb3ca7ed6f960cc2a0a8b82b05dfa1ada65fc2dab8a5eb

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.

source=arxiv_source observed=2026-08-08T11:58:48.446742Z digest=sha256:0fc9ae92c5d3dabdbd206cd240010345751f571b6b96b83ebcf9f4871d734ee1

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.451622Z digest=sha256:d91f860689214c9288f940435386c92b926850d14d9842d2ea931bf5dd91a004

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.456043Z digest=sha256:734457e240cc6546fb385f4471fec0b50612f2a2911b9af714c196b4c9d01d5f

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.

source=arxiv_source observed=2026-08-08T11:58:48.460591Z digest=sha256:6220e51756be5b300a88f862f719d3763735c5151b9a9915b64580d7a81e5bd0

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.464959Z digest=sha256:a497ddd5b6f149dfc62cd36e3f1ee9093c4baf1f3c245fd1ea08fd9bd69c173b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.468953Z digest=sha256:46f4b748ce2ae90af39a96e259f14c8c0a1f758d917bfe7a995f2c4849b1139b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T11:58:48.472984Z digest=sha256:758cad3a85efd4c86243bf58c2b341d319dd252ad79ffb734a0dac2be7c23a8d

Pith citing papers

No inbound Pith citation observations are available.