Paper Citation Record · LEDGER

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models

As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2512.11610.

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

pith.paper-citation-record.v1
2512.11610 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:54:41.031611Z

measured 21 of 21 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact5
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3786068b-2711-40a5-b2e2-ee039499b280 · outbound

This paper cites ISSN: 1573-1375.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models ISSN: 1573-1375

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:39.144498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2596c696-d3a6-4d1b-9f7a-df33c536e268 · outbound

This paper cites Holland, Paul W., Kathryn Blackmond Laskey, and Samuel Leinhardt.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models Holland, Paul W., Kathryn Blackmond Laskey, and Samuel Leinhardt

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:39.484618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3530ada8-af53-451a-9fe9-f39e7048bf43 · outbound

This paper cites Jackman, Simon.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models Jackman, Simon

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:39.549371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3757b82c-26a4-4c95-aa3f-f0385fdd5d59 · outbound

This paper cites Journal of Statistical Software 24 (5).

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models Journal of Statistical Software 24 (5)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:39.767454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c82450-924a-488b-aeea-d66d8f237c72 · outbound

This paper cites Lewis, Jeffrey B., Keith Poole, Howard Rosenthal, Adam Boche, Aaron Rudkin, and Luke Sonnet.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models Lewis, Jeffrey B., Keith Poole, Howard Rosenthal, Adam Boche, Aaron Rudkin, and Luke Sonnet

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:39.866192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate.

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.

Observation 1289b334-c6e1-4533-9fc4-3ed9a84c8263 · outbound

This paper cites https://www.cambridge.org/core/ product/identif ier/S0898588X16000110/type/journal_article.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models https://www.cambridge.org/core/ product/identif ier/S0898588X16000110/type/journal_article

Reference 13

Resolution: verified exact; doi, observed 2026-08-03T16:58:20.178681Z

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.

Observation ae557b0c-26dd-445d-b5c1-d5af87bfc306 · outbound

This paper cites In 2011 ieee international workshop on machine learning for signal processing, 1–6.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models In 2011 ieee international workshop on machine learning for signal processing, 1–6

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:40.284791Z

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Observation 39c3856f-359f-44fa-8e1d-1228403c1ee9 · outbound

This paper cites How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:40.432941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008b253f-12cf-44ce-8cf9-b6a935f575ae · outbound

This paper cites org/stable/2670253.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models org/stable/2670253

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:40.567940Z

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Observation fd35f5d4-d541-4d8b-ad63-520edaba3591 · outbound

This paper cites https://proceedings.neurips.cc/paper_f iles/paper/2009/f ile/437d7d1d97917cd627a34a6a 0f b41136-Paper.pdf.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models https://proceedings.neurips.cc/paper_f iles/paper/2009/f ile/437d7d1d97917cd627a34a6a 0f b41136-Paper.pdf

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:40.174824Z

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Observation e8fde0ad-ecc2-4878-82d8-91ca7fbdc6c0 · outbound

This paper cites Harper & Row.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models Harper & Row

Reference 1957

Resolution: verified exact; doi, observed 2026-08-03T16:58:20.597297Z

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.

Observation aefc5aaf-eb6e-43bb-a1ff-c95ecfc384e5 · outbound

This paper cites In Algorithms and Models for the W eb-Graph,edited by Anthony Bonato and Fan R.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models In Algorithms and Models for the W eb-Graph,edited by Anthony Bonato and Fan R

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:41.031611Z

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Unavailable: canonical work link unavailable.

Observation b0770b0d-8ebb-4982-a907-9a8b734cffe3 · outbound

This paper cites Journal of Machine Learning Research 9 (65): 1981–2014.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models Journal of Machine Learning Research 9 (65): 1981–2014

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:38.891939Z

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Observation 732a9415-5c93-4f7f-aa91-987e8db8d3e6 · outbound

This paper cites an unresolved cited work.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models Unresolved cited work

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:39.663532Z

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Observation 852eeb5a-a7d7-4b53-b123-d93bd7ce043c · outbound

This paper cites In Proceedings of the 29th international coference on international conference on machine learning,395–402.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models In Proceedings of the 29th international coference on international conference on machine learning,395–402

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:40.702351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 673bd1c0-5908-40cd-a9c1-4d268d4a41fc · outbound

This paper cites https://doi.org/10.1214/12-AOAS617.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models https://doi.org/10.1214/12-AOAS617

Reference 2013

Resolution: verified exact; doi, observed 2026-08-03T16:58:20.084287Z

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.

Observation 2feee761-5638-4272-825c-d983fea5e856 · outbound

This paper cites American Journal of Political Science 64 (3): 452–470.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models American Journal of Political Science 64 (3): 452–470

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:39.019714Z

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Observation e370054d-26ff-42b5-b58e-fc0c7bf047bb · outbound

This paper cites https://doi.org/10.1086/723805.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models https://doi.org/10.1086/723805

Reference 2023

Resolution: verified exact; doi, observed 2026-08-03T16:58:20.449686Z

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.

Observation f26bca9a-0687-4f40-bd64-e9e34e9f301d · outbound

This paper cites Journal of the American Statistical Association 120 (550): 631–644.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models Journal of the American Statistical Association 120 (550): 631–644

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:40.811679Z

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Unavailable: canonical work link unavailable.

Observation 9cff80d8-7b3b-4a42-83d5-b6d2ddb2cb24 · outbound

This paper cites https://doi.org/10.1007/s10588-008-9040-4.

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models https://doi.org/10.1007/s10588-008-9040-4

Reference 2025

Resolution: verified exact; doi, observed 2026-08-03T16:58:20.315671Z

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.

Pith citing papers

No inbound Pith citation observations are available.