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Paper Citation Record · LEDGER

A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.05833.

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

pith.paper-citation-record.v1
2305.05833 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:58:52.136309Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T17:58:52.552262Z

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 542ced71-07b5-48a2-9520-4360a96e5f74 · inbound

Causal Inference when Intervention Units and Outcome Units Differ cites this paper.

Causal Inference when Intervention Units and Outcome Units Differ A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-15T17:58:52.557343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:52.136309Z digest=sha256:785e1e083b12aa4ba6d2037059fd055e1c31b2ebe66b100b20bd99afed803ec5

Observation 9b2aa88a-acfa-47c0-a4c9-112960c419df · inbound

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models cites this paper.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T16:54:39.966373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:54:39.966373Z digest=sha256:e047cdbf55b1f04e07167c0477585578895cf62397bea91008b2fdf7dea17923