Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Best of both worlds: local and global explanations with human-understandable concepts
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.08641.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:35.114768Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T02:45:58.814892Z
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 aa0a9c0d-5818-410e-9d24-d3c2bdc1cc06 · inbound
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification cites this paper.
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Best of both worlds: local and global explanations with human-understandable concepts
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:42:35.114768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dc13274-3ee2-4d4d-b291-29effe4d3cc5 · inbound
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks cites this paper.
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks Best of both worlds: local and global explanations with human-understandable concepts
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:43:36.107683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 391a63be-beb0-4e6c-8bfa-32a1f390e620 · inbound
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations cites this paper.
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations Best of both worlds: local and global explanations with human-understandable concepts
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:29:42.182612Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8611123-6b49-4dc9-ad97-577567d5a04d · inbound
Understanding and evaluating computer vision models through the lens of counterfactuals cites this paper.
Understanding and evaluating computer vision models through the lens of counterfactuals Best of both worlds: local and global explanations with human-understandable concepts
Reference 152
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:49:31.225677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f144d184-332e-44bf-8edb-a59b1378a748 · inbound
Neurosymbolic Framework for Concept-Driven Logical Reasoning in Skeleton-Based Human Action Recognition cites this paper.
Neurosymbolic Framework for Concept-Driven Logical Reasoning in Skeleton-Based Human Action Recognition Best of both worlds: local and global explanations with human-understandable concepts
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:45:58.819340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.