Paper Citation Record · LEDGER

Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.19660.

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

pith.paper-citation-record.v1
2310.19660 v2

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 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:18:09.335016Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:49:41.173289Z

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 b1a41f32-b410-4a88-ac33-4645515c35be · inbound

Designing Human and Generative AI Collaboration cites this paper.

Designing Human and Generative AI Collaboration Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:36.797674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72caf3d2-6721-45c1-bc1b-90cd2860ad90 · inbound

Multi-Domain Explainability of Preferences cites this paper.

Multi-Domain Explainability of Preferences Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:10.817110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7783c03-cc55-42b8-aaea-1993f29ee0d8 · inbound

Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery cites this paper.

Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:15.245922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ef54eb-60ab-41e0-90dd-9dd62454179e · inbound

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety cites this paper.

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:24:26.415954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc3681db-56ef-4d1a-9b0e-48f448d56687 · inbound

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate cites this paper.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T18:48:41.905295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 515709fd-0438-4714-8366-ee2c31df5d56 · inbound

Human-AI Co-design for Clinical Prediction Models cites this paper.

Human-AI Co-design for Clinical Prediction Models Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T10:46:23.142604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 937b77fe-1b66-4e7f-8a70-b956cbf31776 · inbound

Interpretable Discriminative Text Representations via Agreement and Label Disentanglement cites this paper.

Interpretable Discriminative Text Representations via Agreement and Label Disentanglement Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:49:41.175370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0494bdbb-e9ea-4d82-9199-65d52097c0be · inbound

Mitigating Label Bias with Interpretable Rubric Embeddings cites this paper.

Mitigating Label Bias with Interpretable Rubric Embeddings Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:39:41.021818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25f64c4d-1e3e-4257-9eeb-784869870e70 · inbound

Principal Trait Analysis: Towards Deriving "Skills" in Human-AI Collaboration cites this paper.

Principal Trait Analysis: Towards Deriving "Skills" in Human-AI Collaboration Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T14:18:09.335016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.