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Paper Citation Record · LEDGER

The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.12789.

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

pith.paper-citation-record.v1
2305.12789 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:08:09.632162Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:06:48.898153Z

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 98def6da-db30-4e24-82da-950ebd8f9fbc · inbound

Semi-supervised inference using unlabeled summary statistics cites this paper.

Semi-supervised inference using unlabeled summary statistics The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T14:08:09.632162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:08:09.632162Z digest=sha256:d0becca95d9d4164bf02f96688610239b779295c06de8efe747a85e14c30323e

Observation 267e7d92-c5cf-4c0d-ae57-02cf1e2fd942 · inbound

Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap cites this paper.

Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:06:48.901112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-22T17:05:00.697466Z digest=sha256:5813a574bfa2b2c582322f28835041407ed675a4f6fcfcb6d35eb7aa60481d7b