Pith. sign in

Paper Citation Record · LEDGER

Rule Generation for Classification: Scalability, Interpretability, and Fairness

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.10751.

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

pith.paper-citation-record.v1
2104.10751 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:59:43.595495Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T05:57:22.793901Z

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 09af3e88-a8a4-4868-b415-0b2f2562c376 · inbound

Responsible Machine Learning via Mixed-Integer Optimization cites this paper.

Responsible Machine Learning via Mixed-Integer Optimization Rule Generation for Classification: Scalability, Interpretability, and Fairness

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T22:59:43.595495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:59:43.595495Z digest=sha256:c6d59ad83f24c430c918457104c28523e94fd6516d946f8be3be68c1d89e8f23

Observation 6b9dd23b-6da6-4170-b4b4-98b0b06ab12c · inbound

BoolXLLM: LLM-Assisted Explainability for Boolean Models cites this paper.

BoolXLLM: LLM-Assisted Explainability for Boolean Models Rule Generation for Classification: Scalability, Interpretability, and Fairness

Reference 104

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.795466Z

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.

source=arxiv_source observed=2026-05-13T05:54:32.665189Z digest=sha256:dbe4ddc5899654e881db99d5a42ed1d56bb4dd7fb4db47805d38d35f156fd2e8