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Paper Citation Record · LEDGER

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines

As of 21 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2509.10383.

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

pith.paper-citation-record.v1
2509.10383 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:59:05.375580Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T06:05:31.334908Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T06:09:41.586369Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved13
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  • malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 274badda-db96-485c-9037-196e8beee1d5 · outbound

This paper cites Bayesian Survival Analysis Using the rstanarm R Package.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Bayesian Survival Analysis Using the rstanarm R Package

Reference 1

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Observation a2e3aa22-173a-482f-913e-42a3e1de7704 · outbound

This paper cites an unresolved cited work.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Unresolved cited work

Reference 2

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Observation bd42c10d-f193-4f5e-af98-397592aaa6c9 · outbound

This paper cites an unresolved cited work.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Unresolved cited work

Reference 3

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Observation 38b70c3e-2a0b-4950-8b51-ebcde41c8d27 · outbound

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Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Unresolved cited work

Reference 4

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Observation 81b4924a-7b05-44d3-8996-d209129cf72a · outbound

This paper cites Bayesian one-step IPD network meta-analysis of time-to-event data using Royston-Parmar models.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Bayesian one-step IPD network meta-analysis of time-to-event data using Royston-Parmar models

Reference 5

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verified exact
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Observation b4503e60-946e-4397-8982-7a1ec8e9f627 · outbound

This paper cites Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves

Reference 6

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Observation 2b7e4991-96fb-41f9-b7fd-e0b33bc28d23 · outbound

This paper cites Borrowing strength from external trials in a meta-analysis.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Borrowing strength from external trials in a meta-analysis

Reference 7

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Observation 96ceca72-bfb9-4d51-a862-0a4122187c85 · outbound

This paper cites survextrap: a package for flexible and transparent survival extrapo- lation.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines survextrap: a package for flexible and transparent survival extrapo- lation

Reference 8

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Source-reported events for the cited work

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Observation a10a6539-2d85-4d23-a0d9-ce73de27980e · outbound

This paper cites Network meta-analysis of survival data with fractional polynomials.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Network meta-analysis of survival data with fractional polynomials

Reference 9

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verified exact
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Observation 4aa5dcdf-0675-48aa-a982-d80b2a699c09 · outbound

This paper cites Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects

Reference 10

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Observation ff73b345-d497-4056-88a1-a91e0ecb96e2 · outbound

This paper cites General P-Splines for Non-Uniform B-Splines.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines General P-Splines for Non-Uniform B-Splines

Reference 11

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Observation cc8b1b95-86e5-4290-accf-6298e7623738 · outbound

This paper cites Network meta-analysis of parametricsurvivalcurves.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Network meta-analysis of parametricsurvivalcurves

Reference 12

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verified exact
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Observation 0ecc2868-f845-45fb-9398-778dbb66906e · outbound

This paper cites A Guide to Selecting Flexible Survival Models to Inform Economic EvaluationsofCancerImmunotherapies.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines A Guide to Selecting Flexible Survival Models to Inform Economic EvaluationsofCancerImmunotherapies

Reference 13

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Observation efe9c943-3b5a-492c-8d69-ca6f7b379e81 · outbound

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Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Unresolved cited work

Reference 14

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Observation b8079c4f-d125-45db-bdab-c86539303cbd · outbound

This paper cites Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis

Reference 15

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Observation 5ab86ff3-dbf5-4a6a-ad49-066b0c56c1a7 · outbound

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Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Unresolved cited work

Reference 16

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Observation d1d54080-1f09-4dd3-97a6-5c8f072d7476 · outbound

This paper cites Monotone Regression Splines in Action.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Monotone Regression Splines in Action

Reference 17

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Observation a86800d2-70d8-4a0c-8352-f9debd13c3a6 · outbound

This paper cites Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling

Reference 18

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Observation 8bc0492d-4034-4080-a0aa-d8c21174eec8 · outbound

This paper cites Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic mod- elling and estimation of treatment effects.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic mod- elling and estimation of treatment effects

Reference 19

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Observation a439b86b-645e-47f7-b0ef-de5ca0c42d46 · outbound

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Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Unresolved cited work

Reference 20

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Observation 59292b63-7caf-48b4-bff5-30c3e1a93243 · outbound

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Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Unresolved cited work

Reference 21

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This paper cites Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

Reference 22

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Observation e7a7cb09-3a04-45ba-a5da-bab78841850d · outbound

This paper cites Shape-Restricted Regression Splines with R Package splines2.

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines Shape-Restricted Regression Splines with R Package splines2

Reference 23

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Pith citing papers

Observation 5082ae1d-90f1-4b0b-9a93-be3f295b61d7 · inbound

Meta-analysis and network meta-analysis of time-to-event outcomes with non-proportional hazards: a Bayesian time-varying hazard ratio approach cites this paper.

Meta-analysis and network meta-analysis of time-to-event outcomes with non-proportional hazards: a Bayesian time-varying hazard ratio approach Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines

Reference 9

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