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Paper Citation Record · LEDGER

Learning Optimal Prescriptive Trees from Observational Data

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.13628.

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

pith.paper-citation-record.v1
2108.13628 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:59:43.575763Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T22:59:43.729445Z

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 807f95ef-c16e-421e-bf65-5d4752b60349 · inbound

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

Responsible Machine Learning via Mixed-Integer Optimization Learning Optimal Prescriptive Trees from Observational Data

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T22:59:43.734432Z

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=pdf_text observed=2026-08-15T22:59:43.575763Z digest=sha256:d3e8f3d1e4bb9bcaeb0d43594c1d1b60b812a83471e7d0143a2a0b7a43bd68ce

Observation a87cfb20-8109-4c78-b97a-80c34561fca6 · inbound

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data cites this paper.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Learning Optimal Prescriptive Trees from Observational Data

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-02T02:32:35.828722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:32:35.828722Z digest=sha256:db954189821bfb4b3709ee19a5fbb5afea12226974b39af88d091bfc23f02e8f