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Paper Citation Record · LEDGER

Explaining Patterns in Data with Language Models via Interpretable Autoprompting

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.01848.

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

pith.paper-citation-record.v1
2210.01848 v2

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:39:44.466508Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 1b196ac9-f4b1-4d9b-b2f7-ef830f225e00 · inbound

RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models cites this paper.

RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models Explaining Patterns in Data with Language Models via Interpretable Autoprompting

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T08:39:44.466508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:39:44.466508Z digest=sha256:6262ef03f1cc57f1c8d4a947e6c0ed285ce664f084b2a796f9e95ce55b591b8f

Observation a9a9660f-b018-4f8f-af7a-42297880cf45 · inbound

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

Human-AI Co-design for Clinical Prediction Models Explaining Patterns in Data with Language Models via Interpretable Autoprompting

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-03T10:46:26.290923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:46:26.290923Z digest=sha256:861ab287ec50454fb5476f2870aa867657525d1789b4498663c468e9c097ffc3