Paper Citation Record · LEDGER

Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.05945.

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

pith.paper-citation-record.v1
2402.05945 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:34.401862Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:45.384552Z

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 f6c050c5-fdd2-4835-919a-38439f81e4af · inbound

A Comprehensive Survey on the Risks and Limitations of Concept-based Models cites this paper.

A Comprehensive Survey on the Risks and Limitations of Concept-based Models Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:24:34.401862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af9cc117-6e7c-44e2-9674-ee33558b8b19 · inbound

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models cites this paper.

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:16:43.848679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5e17ac1c-7770-477d-b908-e3e1a3c03360 · inbound

Formal Concept Lattices are Good Semantic Scaffolds for Concept-Based Learning cites this paper.

Formal Concept Lattices are Good Semantic Scaffolds for Concept-Based Learning Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:06:48.189687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 27dd8ea0-2b58-4452-a99e-f1f2ba53291b · inbound

In Defense of Information Leakage in Concept-based Models cites this paper.

In Defense of Information Leakage in Concept-based Models Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning

Reference 166

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:37:37.655650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b05082cc-b6bf-4ff5-ac4c-6e88cca3c4af · inbound

Concept Flow Models: Anchoring Concept-Based Reasoning with Hierarchical Bottlenecks cites this paper.

Concept Flow Models: Anchoring Concept-Based Reasoning with Hierarchical Bottlenecks Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:19:13.810953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f6c812a-36fb-48e3-8130-41606d73ec7b · inbound

Do Sparse Autoencoders Learn Meaningful Concept Hierarchies? cites this paper.

Do Sparse Autoencoders Learn Meaningful Concept Hierarchies? Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:45.387204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e18431c3-0b16-4df7-b00f-6bf3066d830e · inbound

TRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment cites this paper.

TRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:54:20.341996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1198f49b-e7e7-4530-aa3c-3887de65118a · inbound

TRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment cites this paper.

TRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-03T22:39:01.362728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation edcaa9d2-4c5b-4214-a87e-90be4adbf9a1 · inbound

On the Faithfulness of Post-Hoc Concept Bottleneck Models cites this paper.

On the Faithfulness of Post-Hoc Concept Bottleneck Models Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:44:19.511883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.