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Paper Citation Record · LEDGER

Understanding Global Feature Contributions With Additive Importance Measures

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2004.00668.

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

pith.paper-citation-record.v1
2004.00668 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 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:04:54.310295Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T16:41:18.975981Z

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 73d6e8ea-dc19-4f97-8610-97f94b8ab262 · inbound

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

Unifying Attribution-Based Explanations Using Functional Decomposition Understanding Global Feature Contributions With Additive Importance Measures

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T13:04:54.310295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:04:54.310295Z digest=sha256:9c93d4417cf8634f0a64b86ecf73e0a7206eb8b92d6153d241691466f6a1c5e8

Observation 2799b9ae-ff94-422e-b54d-65d4bff41ac8 · inbound

Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice cites this paper.

Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice Understanding Global Feature Contributions With Additive Importance Measures

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T11:31:26.183561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:31:26.183561Z digest=sha256:fb9838ab801c331f2c9add8bc5124aeb89b24aa0d066b4fbf77353f82973fc9e

Observation 84242eb8-6b28-44f1-b520-bfa35e3874b4 · 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 Understanding Global Feature Contributions With Additive Importance Measures

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:07.995500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:07.995500Z digest=sha256:13641f50851328037a0f546614a2d73e94f8c9a146ccf2bfd34c045316b21ddc

Observation 6312cb8a-9610-4f74-aa4c-61a60ed8e68d · inbound

Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection cites this paper.

Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection Understanding Global Feature Contributions With Additive Importance Measures

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:16:20.762161Z

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.

source=pdf_text observed=2026-05-10T06:15:41.652850Z digest=sha256:e88f87587af50b8df58d75e207255db6563efa3b3d0827ebae2cc6664cabcc31

Observation 03f2da50-4a3e-4746-9a53-fe6e63c6e0c7 · inbound

Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection cites this paper.

Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection Understanding Global Feature Contributions With Additive Importance Measures

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-05T16:41:18.979868Z

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.

source=pdf_text observed=2026-07-05T16:37:34.796804Z digest=sha256:9ea2fd6441e0cf1561896649ba638388e5b783bc51d6e437e011d6e1a50a54e4