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Paper Citation Record · LEDGER

Explaining Concept Shift with Interpretable Feature Attribution

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.20634.

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

pith.paper-citation-record.v1
2505.20634 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:56:38.028902Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved2
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a64b528f-2491-4692-a605-a220a3c48a4d · outbound

This paper cites Mortality risk among patients hospitalized primarily for covid-19 during the omicron and delta variant pandemic periods — united states, april 2020–june 2022.

Explaining Concept Shift with Interpretable Feature Attribution Mortality risk among patients hospitalized primarily for covid-19 during the omicron and delta variant pandemic periods — united states, april 2020–june 2022

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 5a2907e4-6d42-4d1d-a92a-388e20c4cb04 · outbound

This paper cites A controlled trial to improve care for seriously iii hospitalized patients: The study to understand prognoses and preferences for outcomes and risks of treatments (support).

Explaining Concept Shift with Interpretable Feature Attribution A controlled trial to improve care for seriously iii hospitalized patients: The study to understand prognoses and preferences for outcomes and risks of treatments (support)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:42.996435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4e3df5d9-993f-46c0-9a05-c9e85e5f8634 · outbound

This paper cites Panning for gold:‘model-x’knockoffs for high dimensional controlled variable selection.

Explaining Concept Shift with Interpretable Feature Attribution Panning for gold:‘model-x’knockoffs for high dimensional controlled variable selection

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 07b64a80-f40e-43f7-a471-c11944316d2a · outbound

This paper cites Diagnosing Model Performance Under Distribution Shift.

Explaining Concept Shift with Interpretable Feature Attribution Diagnosing Model Performance Under Distribution Shift

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:56:35.235536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ffcc1c7b-8f2b-4417-99c9-ba63d5a68d73 · outbound

This paper cites Estimating and explaining model performance when both covariates and labels shift.

Explaining Concept Shift with Interpretable Feature Attribution Estimating and explaining model performance when both covariates and labels shift

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8a6db8d3-d097-41a7-8bd0-2ee384887b29 · outbound

This paper cites A survey of methods for explaining black box models.

Explaining Concept Shift with Interpretable Feature Attribution A survey of methods for explaining black box models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:42.446230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 29024d8d-5034-41d7-aec0-321679efa67e · outbound

This paper cites Benchmarking distribution shift in tabular data with tableshift.

Explaining Concept Shift with Interpretable Feature Attribution Benchmarking distribution shift in tabular data with tableshift

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:42.272986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e152403b-d1c3-40a6-9061-24b1201bfef4 · outbound

This paper cites Generalized additive models.

Explaining Concept Shift with Interpretable Feature Attribution Generalized additive models

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 2026-08-18T06:34:40.430872+00:00.

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Observation f36005df-e35a-4ac8-a90b-97c4cb6400a6 · outbound

This paper cites Omicron subvariant ba.5 efficiently infects lung cells.

Explaining Concept Shift with Interpretable Feature Attribution Omicron subvariant ba.5 efficiently infects lung cells

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:41.919764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 843d4f58-cc72-4e59-a934-8cbec2192830 · outbound

This paper cites Sequential covariate shift detection using classifier two-sample tests.

Explaining Concept Shift with Interpretable Feature Attribution Sequential covariate shift detection using classifier two-sample tests

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:41.811733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:56:35.896265Z digest=sha256:af5725289dbe22baff23332278cc9715e783a297c6bf989768ddb61fee29a885

Observation 638d6a78-b7cc-405f-b419-9264daf0451c · outbound

This paper cites Feature shift detection: Localizing which features have shifted via conditional distribution tests.

Explaining Concept Shift with Interpretable Feature Attribution Feature shift detection: Localizing which features have shifted via conditional distribution tests

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:56:35.984431Z digest=sha256:99c73dd84daf9736c814bacb213f2453cefbf785864358143d056afdcace0d20

Observation dae38ce8-bcb2-4cca-a565-f5153a8258a9 · outbound

This paper cites Towards explaining distribution shifts.

Explaining Concept Shift with Interpretable Feature Attribution Towards explaining distribution shifts

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:41.543941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation dc9dd207-f0b8-472b-bfd8-5bf641db8f2d · outbound

This paper cites Targeting underrepresented populations in precision medicine: A federated transfer learning approach.

Explaining Concept Shift with Interpretable Feature Attribution Targeting underrepresented populations in precision medicine: A federated transfer learning approach

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e8a5d1f1-a313-4568-8b87-d5fa6c7a254b · outbound

This paper cites Transfer learning for high-dimensional linear regression: Prediction, estimation and minimax optimality.

Explaining Concept Shift with Interpretable Feature Attribution Transfer learning for high-dimensional linear regression: Prediction, estimation and minimax optimality

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:41.269134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:56:36.337048Z digest=sha256:2bbffa9745986627c7477bcdb73ba0e7defcf47060ac03dddf2a98f94f06f097

Observation 1ae0bc9b-2c7c-4032-b2e4-b874a9b7331d · outbound

This paper cites Clinical outcomes associated with sars-cov-2 omicron (b.1.1.529) variant and ba.1/ba.1.1 or ba.2 subvariant infection in southern california.

Explaining Concept Shift with Interpretable Feature Attribution Clinical outcomes associated with sars-cov-2 omicron (b.1.1.529) variant and ba.1/ba.1.1 or ba.2 subvariant infection in southern california

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:41.036497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d4fc4a85-6c19-4ef3-bf16-c753da070880 · outbound

This paper cites On the need for a language describing distribution shifts: Illustrations on tabular datasets.

Explaining Concept Shift with Interpretable Feature Attribution On the need for a language describing distribution shifts: Illustrations on tabular datasets

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:40.767953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 45238904-185b-4500-abb4-9f842e413ffe · outbound

This paper cites Rethinking distribution shifts: Empirical analysis and inductive modeling for tabular data, 2024.

Explaining Concept Shift with Interpretable Feature Attribution Rethinking distribution shifts: Empirical analysis and inductive modeling for tabular data, 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:40.621224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9203dc20-aadc-460d-90fa-ddfad84ec29e · outbound

This paper cites Detecting and correcting for label shift with black box predictors.

Explaining Concept Shift with Interpretable Feature Attribution Detecting and correcting for label shift with black box predictors

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:40.441852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 78afec3e-80f7-41e8-8757-91a798fe14d3 · outbound

This paper cites Stability selection.

Explaining Concept Shift with Interpretable Feature Attribution Stability selection

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:56:36.816527Z digest=sha256:e20b7052369f48817d006cbb03f8fdbd344238e4f2d6f8a185fd7d5874025752

Observation aa94e1e8-7ca9-4cab-b346-de4f0b5c2d26 · outbound

This paper cites Explanation Shift: How Did the Distribution Shift Impact the Model?.

Explaining Concept Shift with Interpretable Feature Attribution Explanation Shift: How Did the Distribution Shift Impact the Model?

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:56:38.210564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4754c878-5c20-41ee-a451-bd666aef0a02 · outbound

This paper cites Interpretable generalized additive models for datasets with missing values.

Explaining Concept Shift with Interpretable Feature Attribution Interpretable generalized additive models for datasets with missing values

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 91691241-cd5b-4940-ae25-1e203cc785db · outbound

This paper cites all of us.

Explaining Concept Shift with Interpretable Feature Attribution all of us

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:39.808353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5bead3f4-338f-4e83-adbc-f287c61743ba · outbound

This paper cites Non-asymptotic theory of random matrices: extreme singular values.

Explaining Concept Shift with Interpretable Feature Attribution Non-asymptotic theory of random matrices: extreme singular values

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:39.670135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 26cab041-6361-4ef2-8906-4223e30f75e2 · outbound

This paper cites Derandomizing knockoffs.

Explaining Concept Shift with Interpretable Feature Attribution Derandomizing knockoffs

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:39.557321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d2092fd6-f8da-4249-8216-25725aa343f0 · outbound

This paper cites Restricted eigenvalue properties for correlated gaussian designs.

Explaining Concept Shift with Interpretable Feature Attribution Restricted eigenvalue properties for correlated gaussian designs

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:39.348100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:56:37.515418Z digest=sha256:27aa2412fcc601a787c1cb4db7e7eff22bbe700e2a57cad02958411124723438

Observation a9871051-9f39-4ce7-8864-3629a100a06c · outbound

This paper cites Impact of hba1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records.

Explaining Concept Shift with Interpretable Feature Attribution Impact of hba1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:39.114872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:56:37.597088Z digest=sha256:e90000160dadf89fa40db0a49a827f94da55776d04b17b9ba8d2fe21c3507a8a

Observation 9ebcdc9f-0fdb-4ec3-99b8-e54440fc49f3 · outbound

This paper cites Covariate shift adaptation by importance weighted cross validation.

Explaining Concept Shift with Interpretable Feature Attribution Covariate shift adaptation by importance weighted cross validation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:38.909091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:56:37.674513Z digest=sha256:3ed13eb69551924ae9cdf631d0ffbc569baaec3f2207fb2d87bd30b5b5605795

Observation 897c95de-a367-45b0-ab8b-fcccd446e3da · outbound

This paper cites High-dimensional generalized linear models and the lasso.

Explaining Concept Shift with Interpretable Feature Attribution High-dimensional generalized linear models and the lasso

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:38.755866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:56:37.748230Z digest=sha256:5cd485f5488727f46156984c1334d5bf66d9d5f4484a1ca5caa073519069bec2

Observation 7568ece5-b5d0-41d4-b968-1331648d2f56 · outbound

This paper cites High-dimensional probability: An introduction with applications in data science , volume 47.

Explaining Concept Shift with Interpretable Feature Attribution High-dimensional probability: An introduction with applications in data science , volume 47

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T13:56:37.840859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:56:37.840859Z digest=sha256:997bcf47430a2d1ff5d7613e90227e396e550b8f6c726fcb345925950cc662c8

Observation a4ebdb38-b586-44ef-83f0-7a7b2de1b3de · outbound

This paper cites Wickenhagen, M.

Explaining Concept Shift with Interpretable Feature Attribution Wickenhagen, M

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:38.550893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:56:37.958097Z digest=sha256:cf7bb9c5f9b680e6e9866fa0b02fa1d3e975b44b83d1d319c7120e0c15122ba1

Observation 13cee74b-fc98-4cef-8c75-09f09e49d32f · outbound

This paper cites why did the model fail?.

Explaining Concept Shift with Interpretable Feature Attribution why did the model fail?

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:56:38.429785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:56:38.028902Z digest=sha256:3765f3d3fc1ee9db3796588fb9bed2c6c8b8b9e23e864943b4619863b1422c4c

Pith citing papers

No inbound Pith citation observations are available.