Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:19:39.984483Z
Paper Citation Record · LEDGER
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks
As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2501.02043.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact1
- verified fuzzy13
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 446e4833-bf8c-4a72-8eab-0c2568756be0 · outbound
This paper cites Mathematical models in popula- tion biology and Epidemiology.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Mathematical models in popula- tion biology and Epidemiology
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.381571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bb755dcd-5eac-4f67-a40d-f2453dbd65a6 · outbound
This paper cites an unresolved cited work.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T22:19:40.354242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2ea9ffde-c3e3-4119-8722-6e0d5090a518 · outbound
This paper cites Aditya Prakash, Max S.Y.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Aditya Prakash, Max S.Y
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.319326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 695ca6eb-5df6-4f84-b42a-bc0251051eab · outbound
This paper cites Bertozzi, Elisa Franco, George Mohler, Martin B.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Bertozzi, Elisa Franco, George Mohler, Martin B
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.302527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f207bda2-05c2-4fad-a026-d71d8c798822 · outbound
This paper cites On pa- rameter estimation approaches for predicting disease transmission through optimization, deep learning and statistical inference methods.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks On pa- rameter estimation approaches for predicting disease transmission through optimization, deep learning and statistical inference methods
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.284817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fdd16ba7-999e-4857-8bbf-2925d1274e93 · outbound
This paper cites Mathe- matical modeling, analysis, and simulation of the covid-19 pandemic with explicit and implicit behavioral changes.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Mathe- matical modeling, analysis, and simulation of the covid-19 pandemic with explicit and implicit behavioral changes
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.259485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 52d5954b-4e83-4900-8c97-b7639501693e · outbound
This paper cites Data-driven approaches for predicting spread of infectious diseases through DINNs: Disease Informed Neural Networks.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Data-driven approaches for predicting spread of infectious diseases through DINNs: Disease Informed Neural Networks
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T22:19:40.050916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f4036487-625f-4452-b4e6-86d8bcd31608 · outbound
This paper cites MepoGNN: Metapopulation epidemic forecasting with graph neural networks.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks MepoGNN: Metapopulation epidemic forecasting with graph neural networks
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.237015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5e34a244-181c-4d16-8e93-4bcaf2f90664 · outbound
This paper cites Literate programming for motivating and teaching neural network-based approaches to solve dif- ferential equations.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Literate programming for motivating and teaching neural network-based approaches to solve dif- ferential equations
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.200537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9fff7b2e-4c73-4980-9726-312bf7de121c · outbound
This paper cites Practical considerations for measuring the effective reproductive number.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Practical considerations for measuring the effective reproductive number
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.182350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e7ccd55a-9c71-4ad5-9499-bc392e49f42c · outbound
This paper cites an unresolved cited work.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T22:19:40.166166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 924e2790-c56d-4d3d-9ac8-cabbcaab6937 · outbound
This paper cites Karim F, and Augustine AS.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Karim F, and Augustine AS
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.147921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ee7c969c-d409-44aa-ab1f-babe9307f970 · outbound
This paper cites Romanescu, Songdi Hu, Douglas Nanton, Mahmoud Torabi, Olivier Tremblay-Savard, and Md Ashiqul Haque.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Romanescu, Songdi Hu, Douglas Nanton, Mahmoud Torabi, Olivier Tremblay-Savard, and Md Ashiqul Haque
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.133285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b2e3c761-306f-4244-8d3a-ab7cb3b4b425 · outbound
This paper cites Cintr´ on-Arias, A.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Cintr´ on-Arias, A
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.116511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 56a73a70-1fde-4955-bed8-de19b60de223 · outbound
This paper cites van den Driessche and James Watmough.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks van den Driessche and James Watmough
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.100651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9e4f5489-c4b2-434b-8452-a9f4f31f6283 · outbound
This paper cites http://kaggle.com.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks http://kaggle.com
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:19:40.085079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f3284466-5727-424f-967d-76ead95d8fbf · outbound
This paper cites an unresolved cited work.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T22:19:40.067547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d8b75d5b-5c4c-48e9-a0a2-de8b4f566b5b · outbound
This paper cites an unresolved cited work.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Unresolved cited work
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:19:39.932197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.