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Paper Citation Record · LEDGER

Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.04437.

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

pith.paper-citation-record.v1
2303.04437 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:19:33.962424Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:05:45.254756Z

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 81e8972e-2598-4c7d-92c7-82a03f0ad943 · inbound

Quantum Engineering of Qudits with Interpretable Machine Learning cites this paper.

Quantum Engineering of Qudits with Interpretable Machine Learning Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:28.920376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:42:28.920376Z digest=sha256:870c48d3255a59fca12426d20e6770c15aac091d6ae2beaf1c9ae55b5a0d56c4

Observation ec8f7e6c-f2b0-46ec-8900-c49a0e50e0d8 · inbound

Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again cites this paper.

Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:05:45.257123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-01T01:09:24.226845Z digest=sha256:74df5ef727916470117ed3a4c86595d16145b5b8bda81d10a2663526975900f7

Observation 6283e03a-27e6-4a96-9ab3-eafb6f744912 · inbound

ArborEnum: Decision Tree Rashomon Sets over Continuous Features cites this paper.

ArborEnum: Decision Tree Rashomon Sets over Continuous Features Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T20:13:09.644546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:13:09.644546Z digest=sha256:94278f9c9362f12ee5a8c22632ebca68e4f723c37efeadad8de5de3806b3fc14

Observation c0a24fd2-f472-4060-b4c8-ee3bc8edee6f · inbound

ArborEnum: Decision Tree Rashomon Sets over Continuous Features cites this paper.

ArborEnum: Decision Tree Rashomon Sets over Continuous Features Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T04:19:33.962424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:19:33.962424Z digest=sha256:14659ce1f7768747e719f3f1a7e8bdc57b16e7e77e6a81537881e2254725072f