Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:48:30.339119Z
Paper Citation Record · LEDGER
The many Shapley values for model explanation
As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:1908.08474.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:29:15.197345Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-16T04:29:15.874517Z
Reference resolution
23 of 23 outbound references displayed
- verified exact1
- verified fuzzy15
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0f3d16ec-52b1-46fd-b7ff-10867e267f24 · outbound
This paper cites Explaining individual predictions when features are dependent: More accurate approximations to Shapley values.
The many Shapley values for model explanation Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f7fca36-5b68-478f-b85c-e9269fe7f8ba · outbound
This paper cites The Shapley Taylor Interaction Index.
The many Shapley values for model explanation The Shapley Taylor Interaction Index
Reference 2
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c564f6e-5883-408c-ad7f-f0edc21e777a · outbound
This paper cites Fast algorithms for mining association rules.
The many Shapley values for model explanation Fast algorithms for mining association rules
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 75188fa7-2934-4d65-a246-69f91e5f7fe5 · outbound
This paper cites J., and Shapley, L.
The many Shapley values for model explanation J., and Shapley, L
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 084c2ab3-947d-4de1-8bb9-bccb5d60e91f · outbound
This paper cites Algorithmic transparency via quanti- tative input influence: Theory and experiments with learning systems.
The many Shapley values for model explanation Algorithmic transparency via quanti- tative input influence: Theory and experiments with learning systems
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 2026-08-19T06:32:44.657259+00:00.
Observation d65520fe-b8f9-43ed-ba13-90b7b2a0a47a · outbound
This paper cites Least angle regression.
The many Shapley values for model explanation Least angle regression
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3e533afe-69df-4b7d-a776-d3da23290beb · outbound
This paper cites Three methods to share joint costs or surplus.
The many Shapley values for model explanation Three methods to share joint costs or surplus
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 2026-08-19T06:32:44.657259+00:00.
Observation d6bc79f1-4bd5-427f-80da-4a6ca55ed3d9 · outbound
This paper cites Estimators of relative importance in linear regression based on variance decomposition.
The many Shapley values for model explanation Estimators of relative importance in linear regression based on variance decomposition
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 2026-08-19T06:32:44.657259+00:00.
Observation ee64cc16-5b6f-417f-83d2-89191590ff1f · outbound
This paper cites M., and Gold., R.
The many Shapley values for model explanation M., and Gold., R
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4319eb34-e057-45ea-b71a-e2f9671f4470 · outbound
This paper cites A unified approach to interpreting model predictions.
The many Shapley values for model explanation A unified approach to interpreting model predictions
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 2026-08-19T06:32:44.657259+00:00.
Observation 851db2f8-c3b7-41d7-b1e7-ec365b09aab8 · outbound
This paper cites Consistent Individualized Feature Attribution for Tree Ensembles.
The many Shapley values for model explanation Consistent Individualized Feature Attribution for Tree Ensembles
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 299d56e3-8d8e-410a-a65c-b21e140af3ed · outbound
This paper cites Sobol’ indices and shapley value.
The many Shapley values for model explanation Sobol’ indices and shapley value
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:48:31.223040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ef2608a3-4df9-4717-8e76-ce54c642ac82 · outbound
This paper cites On shapley value for measuring importance of dependent inputs.
The many Shapley values for model explanation On shapley value for measuring importance of dependent inputs
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 2026-08-19T06:32:44.657259+00:00.
Observation 7384c5ec-cd83-47e2-868b-cb601c6ee43f · outbound
This paper cites Scikit-learn: Machine learning in Python.
The many Shapley values for model explanation Scikit-learn: Machine learning in Python
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d9420da0-f1ce-4b3a-af63-fa248984394e · outbound
This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.
The many Shapley values for model explanation "Why Should I Trust You?": Explaining the Predictions of Any Classifier
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2aa1db0-2157-4d3c-b2aa-6cc80bf95ef9 · outbound
This paper cites an unresolved cited work.
The many Shapley values for model explanation Unresolved cited work
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 66be212e-84c5-479d-9fc4-aa9383ac832d · outbound
This paper cites an unresolved cited work.
The many Shapley values for model explanation Unresolved cited work
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d11c8c5b-d84d-4ace-a945-ce0109ea6736 · outbound
This paper cites Axiomatic Attribution for Multilinear Functions.
The many Shapley values for model explanation Axiomatic Attribution for Multilinear Functions
Reference 18
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c1f4f80b-a8f6-41ae-9810-6531df2ae808 · outbound
This paper cites Axiomatic attribution for deep networks.
The many Shapley values for model explanation Axiomatic attribution for deep networks
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 2026-08-19T06:32:44.657259+00:00.
Observation c1d3eb83-c717-499d-b559-1338b1092946 · outbound
This paper cites Regression shrinkage and selection via the lasso.
The many Shapley values for model explanation Regression shrinkage and selection via the lasso
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation daf2e8b6-ad85-4e73-b90c-3137b9e1e7cb · outbound
This paper cites Explaining prediction models and individual predictions with feature contributions.
The many Shapley values for model explanation Explaining prediction models and individual predictions with feature contributions
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:48:30.730424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8b08f004-8893-4251-9405-4d568d5136f9 · outbound
This paper cites an unresolved cited work.
The many Shapley values for model explanation Unresolved cited work
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation da62907b-059c-4748-bc85-e83642b0d716 · outbound
This paper cites It claims that Missingness, Local Accuracy and Consistency suffice.
The many Shapley values for model explanation It claims that Missingness, Local Accuracy and Consistency suffice
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:48:30.544916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
Observation 01160bf8-a319-4390-a9c3-fb9123f752d8 · inbound
Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling cites this paper.
Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling The many Shapley values for model explanation
Reference 53
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.