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Paper Citation Record · LEDGER

Minimax Semiparametric Learning With Approximate Sparsity

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.12213.

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

pith.paper-citation-record.v1
1912.12213 v7

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:16:11.450660Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T01:37:56.014802Z

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 94a34486-ca4b-455a-8ce8-c22eb46823e4 · inbound

Double/Debiased Machine Learning for Continuous Treatment Effects in Panel Data with Endogeneity cites this paper.

Double/Debiased Machine Learning for Continuous Treatment Effects in Panel Data with Endogeneity Minimax Semiparametric Learning With Approximate Sparsity

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T01:37:56.017578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T01:33:29.310455Z digest=sha256:d503fc7c26eeefebb88962466fcc5c4a10e7670fed1a0d97fdf07fb6c72aa1d6

Observation 0ec86577-6833-424b-b157-efa78795bb4c · inbound

Optimal use of a black-box learner in semiparametric estimation cites this paper.

Optimal use of a black-box learner in semiparametric estimation Minimax Semiparametric Learning With Approximate Sparsity

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T07:16:11.450660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:16:11.450660Z digest=sha256:b1bd7c3519ff608559d606f955c269747bc7204fdd4537d8246729f1df347cf0