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Paper Citation Record · LEDGER

Problems with Shapley-value-based explanations as feature importance measures

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2002.11097.

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

pith.paper-citation-record.v1
2002.11097 v2

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 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:20:41.335323Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T13:04:55.598206Z

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 d9fb33e0-a791-4736-98d6-5da60a3f2f65 · inbound

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs cites this paper.

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs Problems with Shapley-value-based explanations as feature importance measures

Reference 155

Resolution
unresolved
no resolver link, observed 2026-08-12T05:01:32.100784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:01:32.100784Z digest=sha256:9d502d69bfdf563fbedb3e034205f0894831ef6b570c8b3adb12960fa3ccc85f

Observation 23bd0af9-8245-4309-aed5-2c45215a44be · inbound

On Model Extrapolation in Marginal Shapley Values cites this paper.

On Model Extrapolation in Marginal Shapley Values Problems with Shapley-value-based explanations as feature importance measures

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T13:27:49.540894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:27:49.540894Z digest=sha256:b92247d7dfacb0135a59bc1b4a26276d8263407825e69c1a3d5e854fae63b2c2

Observation 66fd4a26-e247-4e42-83c8-0a89451b4a6a · inbound

Unifying Attribution-Based Explanations Using Functional Decomposition cites this paper.

Unifying Attribution-Based Explanations Using Functional Decomposition Problems with Shapley-value-based explanations as feature importance measures

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T13:04:55.605763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T13:04:54.481457Z digest=sha256:08d09614270c4ccb2c6c292525fbd5f7685034ff06cac657644998f65cc13388

Observation 336575b3-ea03-44d5-af8e-1d1812e7ecef · inbound

Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information cites this paper.

Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information Problems with Shapley-value-based explanations as feature importance measures

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T17:52:26.380546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:52:26.380546Z digest=sha256:a3cf0fa44db3b27e49028e03130bd40f6784cbc20b5dad48e4701f3a26bc3bf7

Observation 9fa3629f-1857-4834-9a6a-394264b81721 · inbound

Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information cites this paper.

Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information Problems with Shapley-value-based explanations as feature importance measures

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T14:20:41.335323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:20:41.335323Z digest=sha256:f05e89884df16e0666fe7ac98d9abc755a3958ff0eef8cd443a10c7d0250923c