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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:05:10.817110Z

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 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.

source=arxiv_source observed=2026-08-07T14:05:10.817110Z digest=sha256:ac9db3e22056f86a8193a50532df2ac97e081fdb6f1a4406cfca380660f97272

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.

source=pdf_text observed=2026-08-07T13:59:15.245922Z digest=sha256:09bd23cebc484a20fc105dc8d47aa7757e06d8969f15a239490353524e6bcf20

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.

source=pdf_text observed=2026-08-07T10:24:26.415954Z digest=sha256:7afffa0f2182b842bd9fc430c24d44f424ea9dcd161e2fafcc5efd4c579e512c

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.

source=pdf_text observed=2026-08-03T18:48:41.905295Z digest=sha256:ac37975d28b7d63f4b683275ee2a74fca1ca2dd5593ebc3f85274164af7e0363

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.

source=pdf_text observed=2026-08-03T10:46:23.142604Z digest=sha256:9da7a8eb69f73dd6fc2ad2d2fbcaf5fc66dc45e726274bec6d359bc2a731733e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T05:45:10.111617Z digest=sha256:2cba40b631acf25ea777cb1e173cd1b01020706660f09f2b5babd2532b965b05

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T05:34:50.412973Z digest=sha256:f9368031b3d3ef6dab486ef5c94125ad662f7e4d94854434bb99bc96e471adc6