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Paper Citation Record · LEDGER

Demystifying statistical learning based on efficient influence functions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.00681.

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

pith.paper-citation-record.v1
2107.00681 v3

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 2026-08-07T12:18:10.414898Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:12:32.229114Z

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 af449778-bb62-429e-9467-940233520635 · inbound

Transporting results from a trial to an external target population when trial participation impacts adherence cites this paper.

Transporting results from a trial to an external target population when trial participation impacts adherence Demystifying statistical learning based on efficient influence functions

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:18:10.414898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:10.414898Z digest=sha256:6cf268b91ea9184074cf09bb25345f21be2569ee4a554006990b60ae331f6813

Observation 8b2f6724-ada7-4c0a-a6e4-7260dbb0b124 · inbound

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition cites this paper.

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition Demystifying statistical learning based on efficient influence functions

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:12:32.318415Z

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=pdf_text observed=2026-08-06T17:12:29.497019Z digest=sha256:00bfa66b1e470287028865fbdab65dbbfcc97ede9a01c4bc362c89461941bf5f