Paper Citation Record · LEDGER

Count data modeling and forecasting of malaria incidence using generalized time series regression

As of 3 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2606.25902.

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

pith.paper-citation-record.v1
2606.25902 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:58:09.721191Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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

28 of 28 outbound references displayed

verified exact14
verified fuzzy13
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b75c6e5d-c001-430d-b79f-5e7647729d30 · outbound

This paper cites Malaria early warnings based on seasonal climate forecasts from multi-model ensembles.

Count data modeling and forecasting of malaria incidence using generalized time series regression Malaria early warnings based on seasonal climate forecasts from multi-model ensembles

Reference 1

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.877068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5038e91a-72ca-44c3-ab59-8c1b7096ca93 · outbound

This paper cites World malaria report 2024.

Count data modeling and forecasting of malaria incidence using generalized time series regression World malaria report 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.587960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0519de76-956b-41ad-a6e1-132395bfb33e · outbound

This paper cites Regression models for count data in R.

Count data modeling and forecasting of malaria incidence using generalized time series regression Regression models for count data in R

Reference 3

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.884333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b444daaf-f818-477b-b869-6148125dd5aa · outbound

This paper cites Mapping the global endemicity and clinical burden ofPlasmodium vivax, 2000–17: a spatial and temporal modelling study.

Count data modeling and forecasting of malaria incidence using generalized time series regression Mapping the global endemicity and clinical burden ofPlasmodium vivax, 2000–17: a spatial and temporal modelling study

Reference 4

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.845287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e300b3f3-64ec-487f-85b1-e69352c7ff11 · outbound

This paper cites Determinants of relapse periodicity inPlasmodium vivaxmalaria.

Count data modeling and forecasting of malaria incidence using generalized time series regression Determinants of relapse periodicity inPlasmodium vivaxmalaria

Reference 5

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.865409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bcbeda0a-fe0a-40fa-900b-0e483aee9966 · outbound

This paper cites Malaria situation in India with special reference to tribal areas.

Count data modeling and forecasting of malaria incidence using generalized time series regression Malaria situation in India with special reference to tribal areas

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.586334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation de98ebda-379b-4748-a3e3-60cff99dec56 · outbound

This paper cites Generalized Linear Models.

Count data modeling and forecasting of malaria incidence using generalized time series regression Generalized Linear Models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.590337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4b0419eb-a251-46c4-a26c-a7d4ac8b0bf1 · outbound

This paper cites Negative Binomial Regression.

Count data modeling and forecasting of malaria incidence using generalized time series regression Negative Binomial Regression

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.588717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 49475731-21d4-4523-94f5-57003b9cee2e · outbound

This paper cites Predicting Malaria Cases in Mumbai: Insights from Statistical and Machine Learning Models.

Count data modeling and forecasting of malaria incidence using generalized time series regression Predicting Malaria Cases in Mumbai: Insights from Statistical and Machine Learning Models

Reference 9

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.871442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 62dadec3-5836-4caf-872b-782592081cb2 · outbound

This paper cites Effects of short- and long-term climatic variability on malaria transmission dynamics.

Count data modeling and forecasting of malaria incidence using generalized time series regression Effects of short- and long-term climatic variability on malaria transmission dynamics

Reference 10

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.887485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 701b8cca-b1c9-48d9-b476-c7a9195a40a5 · outbound

This paper cites Regression Models for Time Series Analysis.

Count data modeling and forecasting of malaria incidence using generalized time series regression Regression Models for Time Series Analysis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.582686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c543d8fa-6189-46ca-a868-9cd001b776a2 · outbound

This paper cites Time Series Models Based on Generalized Linear Models: Some Further Results.

Count data modeling and forecasting of malaria incidence using generalized time series regression Time Series Models Based on Generalized Linear Models: Some Further Results

Reference 12

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.848374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation eb204df8-34d4-4aa5-b7b4-3899d29a7e1d · outbound

This paper cites Observation-driven models for Poisson counts.

Count data modeling and forecasting of malaria incidence using generalized time series regression Observation-driven models for Poisson counts

Reference 13

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.862670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d219ebfb-2ad0-4610-b030-da7d0a67f0b0 · outbound

This paper cites Theglarmapackage for observation-driven time series regression of counts.

Count data modeling and forecasting of malaria incidence using generalized time series regression Theglarmapackage for observation-driven time series regression of counts

Reference 14

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.874178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 93cbf687-e727-45c4-9ff7-4b6b2074a444 · outbound

This paper cites Robust estimate for count time series using GLARMA models: An application to environmental and epidemiological data.

Count data modeling and forecasting of malaria incidence using generalized time series regression Robust estimate for count time series using GLARMA models: An application to environmental and epidemiological data

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:05:27.881164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ede692d3-2a9c-40d5-a189-9492cc411572 · outbound

This paper cites Combining generalized linear autoregressive moving average and bootstrap models for analyzing time series of respiratory diseases and air pollutants.

Count data modeling and forecasting of malaria incidence using generalized time series regression Combining generalized linear autoregressive moving average and bootstrap models for analyzing time series of respiratory diseases and air pollutants

Reference 16

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.868367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 29cabf7d-f4e9-47a4-97e1-cc96324a85d9 · outbound

This paper cites Modeling and Forecasting Indian Malaria Incidence Using Generalized Time Series Models.

Count data modeling and forecasting of malaria incidence using generalized time series regression Modeling and Forecasting Indian Malaria Incidence Using Generalized Time Series Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:05:27.852056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0d3dc883-1dd3-4fb9-887b-b075b78d6a76 · outbound

This paper cites Count Data in Time Series [Bachelor thesis]; 2010.

Count data modeling and forecasting of malaria incidence using generalized time series regression Count Data in Time Series [Bachelor thesis]; 2010

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.570299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1d3b222a-8214-4db0-96d9-cf895a7f5a8a · outbound

This paper cites Forecasting Malaria in Indian States: A Time Series Approach with R Shiny Integration.

Count data modeling and forecasting of malaria incidence using generalized time series regression Forecasting Malaria in Indian States: A Time Series Approach with R Shiny Integration

Reference 19

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.854838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 03323711-5245-407a-8e72-6886d5f414fc · outbound

This paper cites Time Series Analysis: Forecasting and Control.

Count data modeling and forecasting of malaria incidence using generalized time series regression Time Series Analysis: Forecasting and Control

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.584637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f54b6c80-ea6b-40e6-8280-ff55aed2ec07 · outbound

This paper cites Analysis of Financial Time Series.

Count data modeling and forecasting of malaria incidence using generalized time series regression Analysis of Financial Time Series

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.579056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e0170343-581a-4117-bdd0-411dd11326a4 · outbound

This paper cites Randomized quantile residuals.

Count data modeling and forecasting of malaria incidence using generalized time series regression Randomized quantile residuals

Reference 22

Resolution: verified exact; doi, observed 2026-07-01T07:05:27.859913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation aa55d6b7-388d-4752-ab3d-b54f3a7d4c79 · outbound

This paper cites Empirical Investigation of Randomized Quantile Residuals for Diagnosis of Non-Normal Regression Models [Master’s thesis].

Count data modeling and forecasting of malaria incidence using generalized time series regression Empirical Investigation of Randomized Quantile Residuals for Diagnosis of Non-Normal Regression Models [Master’s thesis]

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.580934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e94f04b9-7956-4df3-ab2c-615743c0e190 · outbound

This paper cites Diebold, Todd A.

Count data modeling and forecasting of malaria incidence using generalized time series regression Diebold, Todd A

Reference 24

Resolution: metadata mismatch; doi, observed 2026-07-01T07:05:27.857403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 28c20eac-24b4-4d43-bb31-cb2ada280787 · outbound

This paper cites DHARMa: residual diagnostics for hierarchical (multi-level/mixed) regression models; 2022.

Count data modeling and forecasting of malaria incidence using generalized time series regression DHARMa: residual diagnostics for hierarchical (multi-level/mixed) regression models; 2022

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.575682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b4263071-7eaa-444e-821b-53d0e138590a · outbound

This paper cites Forecasting: Principles and Practice.

Count data modeling and forecasting of malaria incidence using generalized time series regression Forecasting: Principles and Practice

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.577399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bbf5e7e1-4a3a-42e9-93a6-73324d965be3 · outbound

This paper cites Health Management Information System (HMIS) Portal.

Count data modeling and forecasting of malaria incidence using generalized time series regression Health Management Information System (HMIS) Portal

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.573932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e28cb45f-ca4c-40f5-a301-61db095def17 · outbound

This paper cites Projection of district-level annual population by quinquennial age-group and sex from 2012 to 2031 in India.

Count data modeling and forecasting of malaria incidence using generalized time series regression Projection of district-level annual population by quinquennial age-group and sex from 2012 to 2031 in India

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:42:40.572201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

No inbound Pith citation observations are available.