Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:20:41.335323Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T13:04:55.598206Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation d9fb33e0-a791-4736-98d6-5da60a3f2f65 · inbound
A Comprehensive Guide to Explainable AI: From Classical Models to LLMs Problems with Shapley-value-based explanations as feature importance measures
Reference 155
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23bd0af9-8245-4309-aed5-2c45215a44be · inbound
On Model Extrapolation in Marginal Shapley Values Problems with Shapley-value-based explanations as feature importance measures
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66fd4a26-e247-4e42-83c8-0a89451b4a6a · inbound
Unifying Attribution-Based Explanations Using Functional Decomposition Problems with Shapley-value-based explanations as feature importance measures
Reference 36
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.
Observation 336575b3-ea03-44d5-af8e-1d1812e7ecef · inbound
Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information Problems with Shapley-value-based explanations as feature importance measures
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fa3629f-1857-4834-9a6a-394264b81721 · inbound
Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information Problems with Shapley-value-based explanations as feature importance measures
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.