Paper Citation Record · LEDGER

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics

As of 19 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.11660.

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

pith.paper-citation-record.v1
2507.11660 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:10:30.009447Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy26
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b51721ad-ef33-4d30-a725-5b3d73a78db1 · outbound

This paper cites Fast unfolding of communities in large networks.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Fast unfolding of communities in large networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:27.196886Z

Source-reported events for the cited work

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Observation c79641af-48fc-4243-ad8a-889eed5a66b9 · outbound

This paper cites A smart local moving algorithm for large-scale modularity-based community detection.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics A smart local moving algorithm for large-scale modularity-based community detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:34.062601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b2f2bd2-182a-4167-87c6-ed02a733f808 · outbound

This paper cites Visualizing data using t-sne.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Visualizing data using t-sne

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:27.390192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e73bf2a7-e2c5-460e-9982-238f3605319a · outbound

This paper cites Umap: Uniform manifold approximation and projection.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Umap: Uniform manifold approximation and projection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:33.943973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57ff7b08-bdb6-4844-ad75-4b94f56d1e30 · outbound

This paper cites Moon, David van Dijk, Zheng Wang, Scott Gigante, Daniel B.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Moon, David van Dijk, Zheng Wang, Scott Gigante, Daniel B

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:33.834588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 083ccc63-6adf-457b-92b0-4bb9fa054645 · outbound

This paper cites Manifold interpolating optimal-transport flows for trajectory inference.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Manifold interpolating optimal-transport flows for trajectory inference

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:33.729572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c6cdb2e-a91c-4ad8-87bd-2fd452dc981f · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport, 2023.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Improving and generalizing flow-based generative models with minibatch optimal transport, 2023

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:33.582472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29488267-b5ff-4926-b90c-8555acc8dcf7 · outbound

This paper cites Trajectorynet: A dynamic optimal transport network for modeling cellular dynamics, 2020.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Trajectorynet: A dynamic optimal transport network for modeling cellular dynamics, 2020

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:33.482158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f7b7d94-6445-4740-bf4a-e131d0e7c7e2 · outbound

This paper cites Spatially resolved, highly multiplexed rna profiling in single cells.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Spatially resolved, highly multiplexed rna profiling in single cells

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:33.324574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e21942c0-ed7f-434d-a70a-6d5135c74f17 · outbound

This paper cites High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:33.157975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5eeb070-e365-4f55-a877-40ba1d61e320 · outbound

This paper cites Bridging genomics and tissue pathology: 10x genomics explores new frontiers with the visium spatial gene expression solution.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Bridging genomics and tissue pathology: 10x genomics explores new frontiers with the visium spatial gene expression solution

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:33.053293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e79d00ec-1f73-4977-9f0f-6c5462d8fd9d · outbound

This paper cites Museum of spatial transcriptomics.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Museum of spatial transcriptomics

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:32.913114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56e935e8-0db6-4120-9c10-9f286d765799 · outbound

This paper cites Exploring tissue architecture using spatial transcriptomics.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Exploring tissue architecture using spatial transcriptomics

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:32.770959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6eba24c6-504b-4ff7-b07c-e93f423cae18 · outbound

This paper cites An introduction to spatial transcriptomics for biomedical research.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics An introduction to spatial transcriptomics for biomedical research

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:32.652980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 95241356-18ec-4ef1-be8a-125f56a04da7 · outbound

This paper cites The expanding vistas of spatial transcriptomics.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics The expanding vistas of spatial transcriptomics

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:32.492054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0e0ea36-a85e-450c-b8d1-901973669c36 · outbound

This paper cites Hyperedge representations with hypergraph wavelets: applications to spatial transcriptomics.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Hyperedge representations with hypergraph wavelets: applications to spatial transcriptomics

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:32.301543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5c98db3-fc55-4f62-a582-b7701fa83127 · outbound

This paper cites On learning agent- based models from data.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics On learning agent- based models from data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:32.172814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8fc4a8ed-59d4-413e-83c9-f3171d14d1ac · outbound

This paper cites Spatial computational modelling illuminates the role of the tumour microenvironment for treating glioblastoma with immunotherapies.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Spatial computational modelling illuminates the role of the tumour microenvironment for treating glioblastoma with immunotherapies

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:31.992753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e67b4ba-81b7-4356-85af-b8cb11353ffe · outbound

This paper cites Neural ordinary differential equations.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Neural ordinary differential equations

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:31.844501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19ae56ad-8971-42e4-a094-ad1600298570 · outbound

This paper cites Graph Neural Ordinary Differential Equations.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Graph Neural Ordinary Differential Equations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:28.949074Z

Source-reported events for the cited work

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Observation 2a800d6a-a1fa-43ca-a2f1-705120164bbb · outbound

This paper cites Multivariate time series forecasting with dynamic graph neural odes.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Multivariate time series forecasting with dynamic graph neural odes

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:31.646639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69b9fc09-e78a-4faf-ad64-702db46c5452 · outbound

This paper cites Inferring dynamic regulatory interaction graphs from time series data with perturbations.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Inferring dynamic regulatory interaction graphs from time series data with perturbations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:31.498243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc7439c7-c2c7-4b9a-9250-56bd9eff94c3 · outbound

This paper cites Attention is all you need.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Attention is all you need

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:29.256251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51a9bf8c-1135-45c0-bd9b-e8692e344016 · outbound

This paper cites Graph Attention Networks.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Graph Attention Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:29.367443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c401e2-d922-4734-961a-15383c260327 · outbound

This paper cites Kaplan, Kyle J.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Kaplan, Kyle J

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:31.260794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11961124-734a-4f01-97b4-a463c2cebc0a · outbound

This paper cites 10x Genomics Xenium Analyzer.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics 10x Genomics Xenium Analyzer

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:31.114032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89a1a2e9-697a-40d6-9876-6c62bb765483 · outbound

This paper cites ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:29.574154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a8ba6d-1ec1-4ae8-ac80-c896efd8f94b · outbound

This paper cites Deep learning unlocks the true potential of organ donation after circulatory death with accurate prediction of time-to-death.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Deep learning unlocks the true potential of organ donation after circulatory death with accurate prediction of time-to-death

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:30.938883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 441e3c6a-3e43-43da-bec4-33438a902be8 · outbound

This paper cites chronode: A framework to integrate time-series multi-omics data based on ordinary differential equations combined with machine learning.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics chronode: A framework to integrate time-series multi-omics data based on ordinary differential equations combined with machine learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:30.771606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d30d5fcd-0901-4de8-a28a-8bf4e53e68cd · outbound

This paper cites Optimal transport: old and new , volume 338.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Optimal transport: old and new , volume 338

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:30.558119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c599c55-8866-497c-b919-8113d8df440e · outbound

This paper cites Optimal transport for applied mathematicians , volume 87.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Optimal transport for applied mathematicians , volume 87

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:29.842239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f12085-59e5-47ee-a1a8-2b934461539d · outbound

This paper cites Trajectorynet: A dynamic optimal transport network for modeling cellular dynamics.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Trajectorynet: A dynamic optimal transport network for modeling cellular dynamics

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:30.390652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3350b331-0410-4c6d-a413-e82d36495ad9 · outbound

This paper cites Matthew, F.

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics Matthew, F

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:30.229876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.