Paper Citation Record · LEDGER

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.10014.

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

pith.paper-citation-record.v1
2507.10014 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:48:10.014234Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

34 of 34 outbound references displayed

verified exact2
verified fuzzy30
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa69afeb-26b8-4b6f-ad2b-6a492e64eec7 · outbound

This paper cites Valley fever, 2024.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Valley fever, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:14.326212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cb2c1a92-8b2c-4f52-b1a2-c71acf0debdd · outbound

This paper cites The public health impact of coccidioidomycosis in arizona and california.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach The public health impact of coccidioidomycosis in arizona and california

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:14.185263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bd9fd87a-b360-408c-bd76-fb829f4968d6 · outbound

This paper cites Statistics for valley fever, 2024.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Statistics for valley fever, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:14.075896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 67f3dc8b-511c-4fce-bca8-1560d16e00a8 · outbound

This paper cites Infectious Diseases, Weather, and Climate.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Infectious Diseases, Weather, and Climate

Reference 4

Resolution: verified exact; doi, observed 2026-08-06T17:48:10.090108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b7c61f1-ac2b-4622-8492-68dfe0589eb4 · outbound

This paper cites Climate factors influencing coccidioidomycosis seasonality and outbreaks.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Climate factors influencing coccidioidomycosis seasonality and outbreaks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:13.967270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62f3ee57-bb7b-44c4-abfb-45bda1dad151 · outbound

This paper cites The habitat of coccidioides spp.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach The habitat of coccidioides spp

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:13.814169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee3e8abe-198b-4607-8ea3-6cb4eed692b6 · outbound

This paper cites Effects of precipitation, heat, and drought on incidence and expansion of coccidioidomycosis in western usa: a longitudinal surveillance study.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Effects of precipitation, heat, and drought on incidence and expansion of coccidioidomycosis in western usa: a longitudinal surveillance study

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:13.679574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce857d5a-5d26-4727-8506-2483a4f9f74f · outbound

This paper cites The endozoan, small-mammal reservoir hypothesis and the life cycle of coccidioides species.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach The endozoan, small-mammal reservoir hypothesis and the life cycle of coccidioides species

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:13.522172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d58f324b-57e9-4e4a-9801-482bfc4845db · outbound

This paper cites Combining machine learning and conventional statistical approaches for risk factor discovery in a large cohort study.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Combining machine learning and conventional statistical approaches for risk factor discovery in a large cohort study

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:13.357674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 234a3db1-5b19-4e91-8b08-214e57853759 · outbound

This paper cites Dobos, Kaitlin Benedict, Brendan R.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Dobos, Kaitlin Benedict, Brendan R

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T17:48:10.065401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5452bf31-a29b-4f3b-be2f-3350ad3142ad · outbound

This paper cites Relating coccidioidomycosis (valley fever) incidence to soil moisture conditions.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Relating coccidioidomycosis (valley fever) incidence to soil moisture conditions

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:13.248227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c6f56983-d236-424d-8961-32146c5b70d9 · outbound

This paper cites Enhanced surveillance for coccidioidomycosis, 14 us states, 2016.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Enhanced surveillance for coccidioidomycosis, 14 us states, 2016

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:13.093495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2fb6f414-39e8-48bf-8a29-02b17519cda4 · outbound

This paper cites Coccidioidomycosis incidence in arizona predicted by seasonal precipitation.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Coccidioidomycosis incidence in arizona predicted by seasonal precipitation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:12.972225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e51f4ac7-9d81-411b-b74e-e8b2207eb70e · outbound

This paper cites Valley fever: environmental risk factors and exposure pathways deduced from field measurements in california.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Valley fever: environmental risk factors and exposure pathways deduced from field measurements in california

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:12.762974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5295de05-2f76-45e1-bec3-bae1bf4d2d60 · outbound

This paper cites Spatial scale in environmental risk mapping: A valley fever case study.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Spatial scale in environmental risk mapping: A valley fever case study

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:12.626262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3040ee3d-a885-4681-8dda-ec1a47c0de05 · outbound

This paper cites Environmental factors affecting ecological niche of coccidioides species and spatial dynamics of valley fever in the united states.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Environmental factors affecting ecological niche of coccidioides species and spatial dynamics of valley fever in the united states

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:12.463772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c7999b8-0805-4c86-ac26-b03b2dcf6b2e · outbound

This paper cites Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:12.325318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 141be8d9-6a7d-4c86-bb1c-794bf99444d5 · outbound

This paper cites A comprehensive survey on graph neural networks.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach A comprehensive survey on graph neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:12.184801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 016bad83-8915-4d94-9b79-9db466c2592d · outbound

This paper cites Visitors at risk during arizona's valley fever outbreak, 2025.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Visitors at risk during arizona's valley fever outbreak, 2025

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:12.019233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d0b4d8c6-1641-4fcd-8c7a-4cbe380d6653 · outbound

This paper cites Expansion of coccidioidomycosis endemic regions in the united states in response to climate change.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Expansion of coccidioidomycosis endemic regions in the united states in response to climate change

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:11.896801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a618f735-71c9-4628-b276-e67f450f8759 · outbound

This paper cites No consistent link between dust storms and valley fever (coccidioidomycosis).

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach No consistent link between dust storms and valley fever (coccidioidomycosis)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:11.781705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f374ffc2-9c39-42d1-92bb-e09dbadb0bb0 · outbound

This paper cites Coccidioidomycosis (valley fever), soil moisture, and el nino southern oscillation in california and arizona.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Coccidioidomycosis (valley fever), soil moisture, and el nino southern oscillation in california and arizona

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:11.642707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8cedc7e-3c18-4e4d-ab0f-bd82f1c7b2e1 · outbound

This paper cites Ferreira, Paula M.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Ferreira, Paula M

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:09.932791Z

Source-reported events for the cited work

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Observation fc95ed31-8df0-40ad-98dc-cf778bfbe88e · outbound

This paper cites Machine learning at the edge for ai-enabled multiplexed pathogen detection.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Machine learning at the edge for ai-enabled multiplexed pathogen detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:11.472704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fff089ae-8d2f-41e3-9aae-a6c01c35cf7c · outbound

This paper cites Transformehr: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Transformehr: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:11.334825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e00559cf-cf38-404a-b54f-0e6083d0b864 · outbound

This paper cites Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:11.169887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab003853-920a-4b25-94be-a51944242037 · outbound

This paper cites Covid-19 pandemic forecasting using cnn-lstm: a hybrid approach.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Covid-19 pandemic forecasting using cnn-lstm: a hybrid approach

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:11.056305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 40430d8b-f08d-4f7a-85f8-db684fe3990a · outbound

This paper cites Predicting covid-19 disease progression and patient outcomes based on temporal deep learning.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Predicting covid-19 disease progression and patient outcomes based on temporal deep learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:10.933324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 385c15bf-21d9-40de-a2da-b00a5b10c366 · outbound

This paper cites Estimating the state of epidemics spreading with graph neural networks.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Estimating the state of epidemics spreading with graph neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:10.790931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 524d3cd3-24b1-4349-878b-c5a4962a414d · outbound

This paper cites Investigating the relationship between climate and valley fever (coccidioidomycosis).

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Investigating the relationship between climate and valley fever (coccidioidomycosis)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:10.686042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6d8586f-548a-4d31-aaf3-eb3fee7ff09e · outbound

This paper cites Review of remotely sensed data products for disease mapping and epidemiology.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Review of remotely sensed data products for disease mapping and epidemiology

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:10.527066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09451b2d-cb47-4d63-ba31-8606571debab · outbound

This paper cites Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:09.997262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d52c25c-e9cb-4602-bacb-1c161a6c1a8a · outbound

This paper cites Covid-19 infection inference with graph neural networks.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach Covid-19 infection inference with graph neural networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:10.411275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e3e33201-87bb-41bd-925f-d8e4c5f9425d · outbound

This paper cites A review of graph neural networks in epidemic modeling.

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach A review of graph neural networks in epidemic modeling

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:48:10.266671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.