Paper Citation Record · LEDGER

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs)

As of 5 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.14473.

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

pith.paper-citation-record.v1
2607.14473 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:03:52.038601Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1121bce9-027f-4515-aa98-7a4258bfb6e2 · outbound

This paper cites an unresolved cited work.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:50.745439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59c715f5-3687-4829-a578-5265bedd0cf0 · outbound

This paper cites an unresolved cited work.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:50.830477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92bc2157-473e-4d19-9d66-69c8394d4e0e · outbound

This paper cites and Huynh, M.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) and Huynh, M

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:50.944393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c89672-86c3-4606-b5fc-adfea6cd3c4d · outbound

This paper cites and Joseph, L.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) and Joseph, L

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:51.041410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28c7384f-524d-49b3-b108-14770f1c5b5c · outbound

This paper cites an unresolved cited work.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:51.125170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e59bb8-a43a-4ee6-a6fe-a1f351a03947 · outbound

This paper cites an unresolved cited work.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:51.211749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59bb3218-48d9-47f0-83f0-99883e65d91e · outbound

This paper cites an unresolved cited work.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:51.288802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad21ace0-2d83-4b3b-9a76-392a76811a5f · outbound

This paper cites an unresolved cited work.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:51.434060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c283ebb4-6e1f-4cdb-ab45-045267a89f18 · outbound

This paper cites (2022).rjags: Bayesian Graphical Models using MCMC.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) (2022).rjags: Bayesian Graphical Models using MCMC

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:51.541469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9705be6e-ec61-4b84-ab7c-0f6cdad356dc · outbound

This paper cites an unresolved cited work.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:51.601272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68dbbfe9-0f6d-417a-9a80-90eceacd6006 · outbound

This paper cites R., Maze, M.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) R., Maze, M

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:51.755969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d13a22-bc68-464b-b7ce-67cf0c17b832 · outbound

This paper cites G., van Smeden, M., Dendukuri, N., Joseph, L., Nicol, M.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) G., van Smeden, M., Dendukuri, N., Joseph, L., Nicol, M

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:51.812198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb8b4f37-dc3b-40f3-914f-2a9f6eecc057 · outbound

This paper cites an unresolved cited work.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:51.867465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92805386-56da-4774-8a91-fc96ea40526f · outbound

This paper cites Y., Dendukuri, N., and Joseph, L.

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) Y., Dendukuri, N., and Joseph, L

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:51.937882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d86685b-03b7-4362-b69f-289aef613fc1 · outbound

This paper cites (2008-2010).

Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs) (2008-2010)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:52.038601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.