Paper Citation Record · LEDGER

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data

As of 12 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2606.24488.

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

pith.paper-citation-record.v1
2606.24488 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T01:02:55.561062Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a8a0778-5bd7-4340-b4cd-2754a6bbf8cb · outbound

This paper cites Acosta, Guido J.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Acosta, Guido J

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14d52eb0-bc6c-4025-9e6a-9a28cc158422 · outbound

This paper cites APTOS 2019 Blindness Detection Data.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data APTOS 2019 Blindness Detection Data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5053ba07-19f2-40a7-986f-0e0e069a434f · outbound

This paper cites [Belloet al., 2022 ] Kevin Bello, Bryon Aragam, and Pradeep Ravikumar.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data [Belloet al., 2022 ] Kevin Bello, Bryon Aragam, and Pradeep Ravikumar

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ecbdb75-0bd6-4759-a94a-435d1bba62ae · outbound

This paper cites Castro, Ian Walker, and Ben Glocker.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Castro, Ian Walker, and Ben Glocker

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa645724-ccae-4d35-8bd5-30f8e30794fd · outbound

This paper cites Deep End-to-end Causal Inference.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Deep End-to-end Causal Inference

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:09:56.365322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd399917-7231-4919-95fe-0694e93bc8b4 · outbound

This paper cites A general approach to causal mediation analy- sis.Psychological Methods, 15(4):309–334,.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data A general approach to causal mediation analy- sis.Psychological Methods, 15(4):309–334,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e45b62d-04f6-4d03-82a6-cfe2607a449d · outbound

This paper cites an unresolved cited work.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26a17a16-3ca9-4b65-887d-30d1d77a6f63 · outbound

This paper cites NHANES Questionnaires, Datasets, and Related Documentation.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data NHANES Questionnaires, Datasets, and Related Documentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e90dfcf-56ba-49fd-a0ef-d20882d1ea08 · outbound

This paper cites [Pawlowskiet al., 2020 ] Nick Pawlowski, Daniel C.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data [Pawlowskiet al., 2020 ] Nick Pawlowski, Daniel C

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 717ffe3f-eb41-4bb3-af15-cbcfcfae838d · outbound

This paper cites Varadarajan, Katie Blumer, et al.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Varadarajan, Katie Blumer, et al

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70eb1033-142c-4f86-9d72-1f153d7c9750 · outbound

This paper cites Hoyer, Aapo Hyv ¨arinen, and Antti Kerminen.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Hoyer, Aapo Hyv ¨arinen, and Antti Kerminen

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f63223d7-3851-4ba0-85be-0621ff12a7fa · outbound

This paper cites MIT Press, 2nd edition,.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data MIT Press, 2nd edition,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bfb9ca8-1779-4451-91fa-92b577a9297b · outbound

This paper cites VanderWeele.Explanation in Causal Inference: Methods for Mediation and Interaction.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data VanderWeele.Explanation in Causal Inference: Methods for Mediation and Interaction

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61516e49-99de-43d6-8c50-81e2cc543f74 · outbound

This paper cites an unresolved cited work.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da413f1c-c8ae-44bb-894c-a7eef0c62f12 · outbound

This paper cites Wong and Robert McIntosh.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Wong and Robert McIntosh

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f79bbc3c-c953-4c8b-9801-9288432bfe56 · outbound

This paper cites Retinal microcirculation: A window into systemic circulation and metabolic disease.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Retinal microcirculation: A window into systemic circulation and metabolic disease

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 585bf324-437d-4e17-bf72-3d1d30566814 · outbound

This paper cites Dags with no tears: Contin- uous optimization for structure learning.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Dags with no tears: Contin- uous optimization for structure learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a8480c2-d900-4afb-983e-13123ae34205 · outbound

This paper cites Wagner, Mark A.

RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Wagner, Mark A

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T01:02:55.561062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.