Pith. sign in

Paper Citation Record · LEDGER

Debiased Machine Learning of Aggregated Intersection Bounds and Other Causal Parameters

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.00982.

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

pith.paper-citation-record.v1
2303.00982 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:46:29.055106Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T01:02:21.435571Z

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 e0ab5382-5874-4ca6-88d9-ab8bcf778bfd · inbound

Counting Defiers: A Design-Based Model of an Experiment Can Reveal Evidence Beyond the Average Effect cites this paper.

Counting Defiers: A Design-Based Model of an Experiment Can Reveal Evidence Beyond the Average Effect Debiased Machine Learning of Aggregated Intersection Bounds and Other Causal Parameters

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-11T10:46:29.055106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:46:29.055106Z digest=sha256:8df45063c64026c1ca71cd60ab13960d53ee296503d9e89fc2b2573a450c4160

Observation 2fd7f40a-3a44-4d80-9dde-a11b18e6fe74 · inbound

Partial identification via conditional linear programs: estimation and policy learning cites this paper.

Partial identification via conditional linear programs: estimation and policy learning Debiased Machine Learning of Aggregated Intersection Bounds and Other Causal Parameters

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-07T01:02:21.443544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T01:02:21.337801Z digest=sha256:49bae99f42590b2d9e7bb410ed46b6a60bd6508cefcfe4af63a0e366868a6b88