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Paper Citation Record · LEDGER

Information-theoretic Quantification of High-order Feature Effects in Classification Problems

As of 12 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2507.04362.

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

pith.paper-citation-record.v1
2507.04362 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:55:08.018824Z

measured 32 of 32 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:55:07.881177Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T19:55:08.496351Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact7
  • verified fuzzy13
  • unresolved11
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9462a99-8549-46e4-b324-a395f4eac289 · outbound

This paper cites Arsenault, S.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Arsenault, S

Reference 1

Resolution
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Source-reported events for the cited work

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Observation 9cdb711e-4abc-4a2a-b671-16b95d8ec5e4 · outbound

This paper cites an unresolved cited work.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Unresolved cited work

Reference 2

Resolution
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Observation 44e65e58-4885-4b6f-bc1d-af0aaea5152a · outbound

This paper cites I(Y ;X|Z) = I(Y ;X, Z) −I(Y ; Z).

Information-theoretic Quantification of High-order Feature Effects in Classification Problems I(Y ;X|Z) = I(Y ;X, Z) −I(Y ; Z)

Reference 3

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 9dc8dbb3-d9d3-4eb5-b048-fe791e8b1fe4 · outbound

This paper cites an unresolved cited work.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Unresolved cited work

Reference 4

Resolution
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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.

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Observation a53d7a46-54e5-414e-912b-d88704e9adf1 · outbound

This paper cites Disentangling Interactions and Dependencies in Feature Attribution.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Disentangling Interactions and Dependencies in Feature Attribution

Reference 5

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Source-reported events for the cited work

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Observation e9cebc22-14b8-4144-9ecf-badc15a1c6c7 · outbound

This paper cites The two CMI values are estimated using a mixed vari- able approach based on the kNN estimator of the mu- tual information [11].

Information-theoretic Quantification of High-order Feature Effects in Classification Problems The two CMI values are estimated using a mixed vari- able approach based on the kNN estimator of the mu- tual information [11]

Reference 6

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

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Observation 7cd9f237-dfff-4aa2-92a2-418c2447a299 · outbound

This paper cites Nonnegative Decomposition of Multivariate Information.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Nonnegative Decomposition of Multivariate Information

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dbc29e66-7761-4168-91a7-b8ec7105f289 · outbound

This paper cites Information-theoretic Quantification of High-order Feature Effects in Classification Problems.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Information-theoretic Quantification of High-order Feature Effects in Classification Problems

Reference 8

Resolution
verified exact
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Source-reported events for the cited work

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

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Observation bf1fa732-26c3-4770-9993-60fba4e8486a · outbound

This paper cites an unresolved cited work.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Unresolved cited work

Reference 9

Resolution
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Source-reported events for the cited work

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Observation e0101d46-5046-4b90-85b0-cf5975b11454 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems A Unified Approach to Interpreting Model Predictions

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b5bc910b-19f1-49a9-810c-fe072df8222c · outbound

This paper cites Research initia- tives for innovative technologies and pathways in the health and welfare sector.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Research initia- tives for innovative technologies and pathways in the health and welfare sector

Reference 11

Resolution
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Observation 25e5928f-30c6-4d46-9cf2-5b329040cdb6 · outbound

This paper cites Ontivero-Ortega, L.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Ontivero-Ortega, L

Reference 12

Resolution
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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.

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Observation 08bff51a-6f10-4b5f-b906-a8ccaeb28aeb · outbound

This paper cites an unresolved cited work.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d9675085-1d0d-43b5-9ab4-6a529377b188 · outbound

This paper cites Stramaglia, L.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Stramaglia, L

Reference 14

Resolution
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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.

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Observation fc6949c2-0cae-483f-9f40-512a22a44e84 · outbound

This paper cites A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition

Reference 15

Resolution
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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.

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Observation bf78f3f3-b01c-47ec-8643-bdf38d671b35 · outbound

This paper cites Kraskov, H.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Kraskov, H

Reference 16

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Source-reported events for the cited work

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Observation a22990ac-a1fe-4df9-89f9-35c32bad3b10 · outbound

This paper cites Partial information decomposition for mixed discrete and continuous random variables.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Partial information decomposition for mixed discrete and continuous random variables

Reference 17

Resolution
verified exact
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Source-reported events for the cited work

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Observation 63fe7ae7-cd3e-4452-8f59-ad473d221015 · outbound

This paper cites Xiong, L.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Xiong, L

Reference 18

Resolution
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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.

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Observation cd23b75a-d4a9-46c9-a497-a90da14bcb79 · outbound

This paper cites Metropolis and S.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Metropolis and S

Reference 19

Resolution
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Source-reported events for the cited work

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Information-theoretic Quantification of High-order Feature Effects in Classification Problems Unresolved cited work

Reference 20

Resolution
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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.

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Observation af78bb11-f21d-44a7-a0b6-921c5e950d9f · outbound

This paper cites Xiong, L.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Xiong, L

Reference 21

Resolution
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Source-reported events for the cited work

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Observation a9a8b6f0-709a-4671-8a51-cfff36cff104 · outbound

This paper cites Tomczak, P.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Tomczak, P

Reference 22

Resolution
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Source-reported events for the cited work

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Observation a12feffa-8ab2-43cf-8d7c-06319dfd05d8 · outbound

This paper cites Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural Case.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural Case

Reference 23

Resolution
verified exact
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Source-reported events for the cited work

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Observation dd287639-742b-4fc6-893f-7f4aaac36128 · outbound

This paper cites Westphal, S.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Westphal, S

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 889fd65a-c929-429e-8ff6-1a4b7d411e01 · outbound

This paper cites Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees

Reference 25

Resolution
verified exact
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Source-reported events for the cited work

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

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Observation 84242eb8-6b28-44f1-b520-bfa35e3874b4 · outbound

This paper cites Understanding Global Feature Contributions With Additive Importance Measures.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Understanding Global Feature Contributions With Additive Importance Measures

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Catalina-Rodriguez, V.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Catalina-Rodriguez, V

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 16cf3ae9-b67e-413a-9f6d-678fe48e3e35 · outbound

This paper cites Katnik, A.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Katnik, A

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation d6a031e2-1c5e-467f-98ca-e428ecd65058 · outbound

This paper cites Orrantia-Borunda, P.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Orrantia-Borunda, P

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation a8de2bb9-e089-4967-b13f-d0841dcb5a21 · outbound

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Information-theoretic Quantification of High-order Feature Effects in Classification Problems Unresolved cited work

Reference 30

Resolution
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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.

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Observation ecda692f-816b-4ccd-a1ae-d451599674db · outbound

This paper cites an unresolved cited work.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Unresolved cited work

Reference 31

Resolution
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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.

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Pith citing papers

Observation dbc29e66-7761-4168-91a7-b8ec7105f289 · inbound

Information-theoretic Quantification of High-order Feature Effects in Classification Problems cites this paper.

Information-theoretic Quantification of High-order Feature Effects in Classification Problems Information-theoretic Quantification of High-order Feature Effects in Classification Problems

Reference 8

Resolution
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local_arxiv, observed 2026-08-06T19:55:08.501768Z

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.

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