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Paper Citation Record · LEDGER

Asymptotic theory of the quadratic assignment procedure for dyadic data analysis

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.00947.

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

pith.paper-citation-record.v1
2411.00947 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T02:19:19.980687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T12:18:06.453618Z

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 723068ff-703f-4d82-9f78-89a63cfe0913 · inbound

Design-based edge-level causal inference with machine learning assisted covariate adjustment cites this paper.

Design-based edge-level causal inference with machine learning assisted covariate adjustment Asymptotic theory of the quadratic assignment procedure for dyadic data analysis

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:26:14.245681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T17:04:43.856708Z digest=sha256:031d63581924c60b0630918272e87fef13fa837c7b9dc63f00269253dccc096b

Observation 06c08a10-ddd2-41e5-9aa8-eb4eb690bc69 · inbound

Introducing the CP-plot Based on Covariance Representations of Weighted Average Treatment Effects cites this paper.

Introducing the CP-plot Based on Covariance Representations of Weighted Average Treatment Effects Asymptotic theory of the quadratic assignment procedure for dyadic data analysis

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T12:18:06.455135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-27T09:04:48.851941Z digest=sha256:0b7220bd31257a06c96f051a83ded210c520a9231e341c58c779240c2a658ae0

Observation bebd6933-603f-44d3-879a-3f09759e51fe · inbound

Misspecified regressions with mixed regressors: robust inference and causal interpretation cites this paper.

Misspecified regressions with mixed regressors: robust inference and causal interpretation Asymptotic theory of the quadratic assignment procedure for dyadic data analysis

Reference 59

Resolution
unresolved
no resolver link, observed 2026-07-13T02:19:19.980687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T02:19:19.980687Z digest=sha256:d17a5f0a97ec722456c31fbe5b8ae32546b58b10c08d1f8ba824d02fdfe40bfc