Paper Citation Record · LEDGER

Disentangling Interactions and Dependencies in Feature Attribution

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.23772.

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

pith.paper-citation-record.v1
2410.23772 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:36:21.248261Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T15:26:18.515397Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fb762615-6b42-45ff-9aef-981944c7c32d · inbound

Assessing high-order effects in feature importance via predictability decomposition cites this paper.

Assessing high-order effects in feature importance via predictability decomposition Disentangling Interactions and Dependencies in Feature Attribution

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T16:36:21.248261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce03b40d-678a-48c6-9476-a29edfc440ed · inbound

Saliency Maps are Ambiguous: Analysis of Logical Relations on First and Second Order Attributions cites this paper.

Saliency Maps are Ambiguous: Analysis of Logical Relations on First and Second Order Attributions Disentangling Interactions and Dependencies in Feature Attribution

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T15:27:09.236604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73351246-30e9-4e91-9c78-157dff0fd74e · inbound

Feature Attribution from First Principles cites this paper.

Feature Attribution from First Principles Disentangling Interactions and Dependencies in Feature Attribution

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:26:20.173708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a53d7a46-54e5-414e-912b-d88704e9adf1 · 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 Disentangling Interactions and Dependencies in Feature Attribution

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:55:07.921148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51457479-7fec-4acd-badd-fbcbfa48ebe1 · inbound

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms cites this paper.

From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms Disentangling Interactions and Dependencies in Feature Attribution

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-09T15:26:18.516708Z

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.