Paper Citation Record · LEDGER

Do Concept Bottleneck Models Learn as Intended?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2105.04289.

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

pith.paper-citation-record.v1
2105.04289 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:21:13.511622Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:19:13.796221Z

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 3fe456a0-37f5-43d7-ab89-776693cf5414 · inbound

Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model cites this paper.

Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model Do Concept Bottleneck Models Learn as Intended?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T16:21:13.511622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d8fc656-312b-406e-b2c7-70e9450c1b66 · inbound

Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective cites this paper.

Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective Do Concept Bottleneck Models Learn as Intended?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T11:32:26.805932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 367d065a-eb94-4d2a-8f6d-0f7fc44cde1d · inbound

Enhancing Performance of Explainable AI Models with Constrained Concept Refinement cites this paper.

Enhancing Performance of Explainable AI Models with Constrained Concept Refinement Do Concept Bottleneck Models Learn as Intended?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T14:27:38.448943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d71e45d-d69d-4c16-b07d-8704451ddb04 · inbound

If Concept Bottlenecks are the Question, are Foundation Models the Answer? cites this paper.

If Concept Bottlenecks are the Question, are Foundation Models the Answer? Do Concept Bottleneck Models Learn as Intended?

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:51:55.033453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b0de2bb-2e76-4142-ab20-d367b4c84fd0 · 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 Do Concept Bottleneck Models Learn as Intended?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:24:33.724693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43c59fee-d4cb-44c9-98ec-edf8e99bd2a8 · inbound

Locality-aware Concept Bottleneck Model cites this paper.

Locality-aware Concept Bottleneck Model Do Concept Bottleneck Models Learn as Intended?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T18:30:39.807479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e005f357-b767-46f8-ae3b-e3209b231b3c · inbound

CHiQPM: Calibrated Hierarchical Interpretable Image Classification cites this paper.

CHiQPM: Calibrated Hierarchical Interpretable Image Classification Do Concept Bottleneck Models Learn as Intended?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:29:02.005179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 386bf373-3b60-45fe-9601-e01ff4b8361a · inbound

A Geometric Unification of Concept Learning with Concept Cones cites this paper.

A Geometric Unification of Concept Learning with Concept Cones Do Concept Bottleneck Models Learn as Intended?

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T18:02:48.001772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21413e3c-ad0c-4fe5-a3f8-bad9eacc8923 · inbound

Sparse Concept Anchoring for Interpretable and Controllable Neural Representations cites this paper.

Sparse Concept Anchoring for Interpretable and Controllable Neural Representations Do Concept Bottleneck Models Learn as Intended?

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T22:18:37.090502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b87a1bc2-74fc-4221-bbaf-c1c4dc2a59e0 · inbound

OceanCBM: A Concept Bottleneck Model for Mechanistic Interpretability in Ocean Forecasting cites this paper.

OceanCBM: A Concept Bottleneck Model for Mechanistic Interpretability in Ocean Forecasting Do Concept Bottleneck Models Learn as Intended?

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:53:02.574204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e57e7961-f3fc-4881-9d7c-fa092103dbfa · inbound

Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations cites this paper.

Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations Do Concept Bottleneck Models Learn as Intended?

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:49:05.282843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9768f216-da32-454c-b86a-5c54f57204a2 · inbound

SynCB: A Synergy Concept-Based Model with Dynamic Routing Between Concepts and Complementary Neural Branches cites this paper.

SynCB: A Synergy Concept-Based Model with Dynamic Routing Between Concepts and Complementary Neural Branches Do Concept Bottleneck Models Learn as Intended?

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:49:40.996173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 62ef07dc-a9f5-447b-a1da-5ee162eae717 · inbound

Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers cites this paper.

Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers Do Concept Bottleneck Models Learn as Intended?

Reference 117

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:36:56.284794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1aa167e2-f6ab-42b1-8732-e5322cdbf882 · inbound

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

In Defense of Information Leakage in Concept-based Models Do Concept Bottleneck Models Learn as Intended?

Reference 182

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:37:37.644765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ade2d10e-4342-4605-be9f-e6e0db282786 · inbound

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

Concept Flow Models: Anchoring Concept-Based Reasoning with Hierarchical Bottlenecks Do Concept Bottleneck Models Learn as Intended?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:19:13.797740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27727505-c5da-4d4d-af3b-e2013cae691e · inbound

GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis cites this paper.

GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis Do Concept Bottleneck Models Learn as Intended?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:45:44.358999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0a7bbed-c446-4936-8866-4f805d153b25 · inbound

GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis cites this paper.

GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis Do Concept Bottleneck Models Learn as Intended?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:27:22.033851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 353a4cc4-2645-4803-8205-472ef678e3c9 · inbound

Caption Bottleneck Models cites this paper.

Caption Bottleneck Models Do Concept Bottleneck Models Learn as Intended?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:07:04.095114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f0f0eb6-51fc-4808-bcd2-a203644c8782 · inbound

ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI cites this paper.

ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI Do Concept Bottleneck Models Learn as Intended?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T01:29:02.336552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7625c5cb-d413-43b7-8bea-03f65a3b17d1 · inbound

Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations cites this paper.

Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations Do Concept Bottleneck Models Learn as Intended?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T10:03:02.127094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c18ef51-5af3-477d-8d34-6789ce8a704d · inbound

Loss Invariance Determines What Concept Layers Encode: Volume Grounding in Echocardiography cites this paper.

Loss Invariance Determines What Concept Layers Encode: Volume Grounding in Echocardiography Do Concept Bottleneck Models Learn as Intended?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T01:40:43.943012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.