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Paper Citation Record · LEDGER

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs

As of 8 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 1 inbound Pith citation observation for arXiv:2608.00306.

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

pith.paper-citation-record.v1
2608.00306 v2

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:18:49.206803Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:18:49.206803Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:18:56.852670Z

Reference resolution

80 of 80 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9db75bf1-78b5-4884-a854-5bb838afacba · outbound

This paper cites A master equation formalism for macroscopic modeling of asynchronous irregular activity states.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs A master equation formalism for macroscopic modeling of asynchronous irregular activity states

Reference 1

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Observation 9ddeb3b9-c845-4d01-82d6-53aaa11e6e80 · outbound

This paper cites Heterogeneous firing rate response of mouse layer V pyramidal neurons in the fluctuation-driven regime.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Heterogeneous firing rate response of mouse layer V pyramidal neurons in the fluctuation-driven regime

Reference 2

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Observation ba85ac27-65ea-4037-955f-385dc0dfc3a2 · outbound

This paper cites Modelingmesoscopiccorticaldynamicsusingamean-fieldmodelofconductance- based networks of adaptive exponential integrate-and-fire neurons.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Modelingmesoscopiccorticaldynamicsusingamean-fieldmodelofconductance- based networks of adaptive exponential integrate-and-fire neurons

Reference 3

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Observation 2ac85290-8630-4548-9c20-4a9da990d1e1 · outbound

This paper cites Biologically realistic mean-field models of conductance-based networks of spiking neurons with adaptation.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Biologically realistic mean-field models of conductance-based networks of spiking neurons with adaptation

Reference 4

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Source-reported events for the cited work

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Observation bfbeef39-61de-416a-8055-e220ca5e6227 · outbound

This paper cites A computational approach to evaluate how molecular mechanisms impact large-scale brain activity.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs A computational approach to evaluate how molecular mechanisms impact large-scale brain activity

Reference 5

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Observation f51b3fe7-7531-4857-b6df-bcbc9295b70b · outbound

This paper cites Equal numbers of neuronal and nonneuronal cells make the hu- man brain an isometrically scaled-up primate brain.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Equal numbers of neuronal and nonneuronal cells make the hu- man brain an isometrically scaled-up primate brain

Reference 6

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Source-reported events for the cited work

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Observation f3580728-e1cd-446a-8bd9-1875ef1d7bc1 · outbound

This paper cites The Virtual Brain: a simulator of primate brain network dynamics.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs The Virtual Brain: a simulator of primate brain network dynamics

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5a0d946d-a11c-4911-bdb7-26cdfb7ccd86 · outbound

This paper cites Excitatory and inhibitory interactions in localized popu- lations of model neurons.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Excitatory and inhibitory interactions in localized popu- lations of model neurons

Reference 8

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Source-reported events for the cited work

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Observation 42b6d505-9e9f-4094-b846-d2c448f827ce · outbound

This paper cites A recurrent network mechanism of time integration in perceptual decisions.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs A recurrent network mechanism of time integration in perceptual decisions

Reference 9

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 65671074-556b-4b4a-b6b8-fe401f997dd1 · outbound

This paper cites Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons

Reference 10

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Observation 9c900bb5-bffe-4489-b877-080f3b49c750 · outbound

This paper cites Macroscopic description for networks of spiking neurons.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Macroscopic description for networks of spiking neurons

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5ebbb955-fcba-4b87-ade5-f9ce6f5e04c8 · outbound

This paper cites Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size

Reference 12

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Source-reported events for the cited work

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Observation 48654bbe-2857-4223-b3c3-4812975b0357 · outbound

This paper cites Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: comparison and implementation.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: comparison and implementation

Reference 13

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Observation bec6ca79-30be-4cb1-9493-d47ab41bd42f · outbound

This paper cites An integrative data-driven model simulating C. elegans brain, body and environment interactions.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs An integrative data-driven model simulating C. elegans brain, body and environment interactions

Reference 14

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Source-reported events for the cited work

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Observation eb076c88-ddc9-406f-9479-b1c018ad7b9c · outbound

This paper cites OpenWorm: overview and recent advances in integrative biological simula- tion of Caenorhabditis elegans.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs OpenWorm: overview and recent advances in integrative biological simula- tion of Caenorhabditis elegans

Reference 15

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Source-reported events for the cited work

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Observation 4d1caeea-768f-4775-8684-8a56a1a9b5ce · outbound

This paper cites A Drosophila computational brain model reveals sensorimotor processing.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs A Drosophila computational brain model reveals sensorimotor processing

Reference 16

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Source-reported events for the cited work

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Observation 30e91975-bf03-4671-9b67-5b8c20df549e · outbound

This paper cites Neuronal wiring diagram of an adult brain.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Neuronal wiring diagram of an adult brain

Reference 17

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Observation 2124820f-9138-4822-8ea2-f146ee77b181 · outbound

This paper cites Multi-scale spiking network model of human cerebral cortex.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Multi-scale spiking network model of human cerebral cortex

Reference 18

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Observation 9fcb8d12-7941-4e60-8987-7d512b937c45 · outbound

This paper cites Spike sorting biases and information loss in a detailed cortical model.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Spike sorting biases and information loss in a detailed cortical model

Reference 19

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verified exact
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c7089617-dc0d-4465-a7ba-af935472da53 · outbound

This paper cites Modeling and simulation of neocortical micro- and mesocircuitry (Part I, anatomy).

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Modeling and simulation of neocortical micro- and mesocircuitry (Part I, anatomy)

Reference 20

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Observation 064ca6f3-7e39-4122-9725-5615fe12e264 · outbound

This paper cites Modelingandsimulationofneocorticalmicro-andmesocircuitry(PartII, physiology and experimentation).

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Modelingandsimulationofneocorticalmicro-andmesocircuitry(PartII, physiology and experimentation)

Reference 21

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Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Noise in the nervous system

Reference 22

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Observation 572cdfa3-f4ab-4948-9419-83074f1b7716 · outbound

This paper cites Some asymptotics for the Bessel functions with an explicit error term.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Some asymptotics for the Bessel functions with an explicit error term

Reference 23

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Observation 20cfe46a-30b2-43e4-adae-7e53bf2842bf · outbound

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Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Stochastic dynamical systems

Reference 24

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Observation 9182cc3f-351b-4ea2-9b81-c070e36e6fa5 · outbound

This paper cites Deterministic, stochastic, and mean-field PDE models in neuroscience.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Deterministic, stochastic, and mean-field PDE models in neuroscience

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5377358d-a5f7-49bd-ba44-113356237e91 · outbound

This paper cites Master-equation approach to stochastic neurodynamics.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Master-equation approach to stochastic neurodynamics

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a1f4c5ab-0e3b-4cde-b91f-c5a32423df92 · outbound

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Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Field-theoretic approach to fluctuation effects in neural networks

Reference 27

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e4626f45-ef67-4b19-87f5-faa597d77dc8 · outbound

This paper cites Systematic fluctuation expansion for neural network activity equations.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Systematic fluctuation expansion for neural network activity equations

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c8701bb5-399a-45f0-89a8-f9134749b5c0 · outbound

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Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Stochasticneuralfieldtheoryandthesystem-sizeexpansion

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d88d031f-2eed-4187-81b9-fc0ea5033cdb · outbound

This paper cites A comprehensive neural simulation of slow-wave sleep and highly re- sponsivewakefulnessdynamics.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs A comprehensive neural simulation of slow-wave sleep and highly re- sponsivewakefulnessdynamics

Reference 30

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Source-reported events for the cited work

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Observation ceb02427-4edd-47e9-8b57-970e23cf386a · outbound

This paper cites Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a7354e58-36a6-470c-b615-6e22dcd1f3b6 · outbound

This paper cites From spiking neuron models to linear-nonlinear models.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs From spiking neuron models to linear-nonlinear models

Reference 32

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a498f9df-e592-446d-a05c-dcab4a8c9a59 · outbound

This paper cites Nonlinear responses in fMRI: the Balloon model, Volterra kernels, and other hemodynamics.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Nonlinear responses in fMRI: the Balloon model, Volterra kernels, and other hemodynamics

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3c5c4377-2b97-43fb-968c-ca436696981c · outbound

This paper cites Phenotypic variation of transcriptomic cell types in mouse motor cortex.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Phenotypic variation of transcriptomic cell types in mouse motor cortex

Reference 34

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Observation 948e2ef8-8f2c-41fc-a0be-bc44f2a5e6fc · outbound

This paper cites Optimal responsiveness and information flow in networks of heterogeneous neurons.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Optimal responsiveness and information flow in networks of heterogeneous neurons

Reference 35

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Observation 8eead3c7-7a38-4e1e-8436-a6cfa047a6b2 · outbound

This paper cites Inhibitory cell type heterogeneity in a spatially structured mean-field model of V1.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Inhibitory cell type heterogeneity in a spatially structured mean-field model of V1

Reference 36

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Observation 06e50876-e993-4486-b523-66243d2ccf0b · outbound

This paper cites Mean-field based framework for forward modeling of LFP and MEG signals.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Mean-field based framework for forward modeling of LFP and MEG signals

Reference 38

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Observation 0e990a1b-2e31-49dc-94e0-a827a1d38dd7 · outbound

This paper cites Modeling the relationship between neuronal activity and the BOLD signal: contributions from astrocyte calcium dynamics.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Modeling the relationship between neuronal activity and the BOLD signal: contributions from astrocyte calcium dynamics

Reference 39

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Observation 5c3287fd-be4d-4671-a40a-6cac9a460e1a · outbound

This paper cites Mean-field analysis of a neural network with stochastic STDP.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Mean-field analysis of a neural network with stochastic STDP

Reference 40

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ebe52bc2-235e-4c2c-97fe-f41077352cac · outbound

This paper cites Model-agnostic neural mean field with a data-driventransferfunction.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Model-agnostic neural mean field with a data-driventransferfunction

Reference 41

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 07f3528e-d018-489c-8cba-c7bd136e1ae4 · outbound

This paper cites Data-driven mean-field within whole-brain models.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Data-driven mean-field within whole-brain models

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cf923a3e-7a43-4155-a511-a025466bfa79 · outbound

This paper cites Out-of-domain generalization in dynamical systems reconstruc- tion.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Out-of-domain generalization in dynamical systems reconstruc- tion

Reference 43

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e517b1ab-5021-4c7c-8b15-774a6833811c · outbound

This paper cites How to train your neural ODE: the world of Jacobian and kinetic regulariza- tion.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs How to train your neural ODE: the world of Jacobian and kinetic regulariza- tion

Reference 44

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Source-reported events for the cited work

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Observation 8cbbd3ab-106a-44e9-b6a6-2574f236f9fb · outbound

This paper cites Neural ordinary differential equations.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Neural ordinary differential equations

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 675165e4-77d5-4aa2-bac8-0b35e54b540b · outbound

This paper cites Universal Differential Equations for Scientific Machine Learning.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Universal Differential Equations for Scientific Machine Learning

Reference 46

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source=pdf_text observed=2026-08-06T04:18:45.825092Z digest=sha256:f55b121a90cdb34eca5dd2588f09ea7cd494a2ac98b75f0396ee9b23db33d8e0

Observation 801b8811-30dc-47c9-859d-fb26fdd83264 · outbound

This paper cites Universal differential equations as a unifying model- inglanguageforneuroscience.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Universal differential equations as a unifying model- inglanguageforneuroscience

Reference 47

Resolution
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Observation c810cb6e-a491-4a65-b2dc-df8396406fde · outbound

This paper cites Neural SDEs as infinite-dimensional GANs.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Neural SDEs as infinite-dimensional GANs

Reference 48

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d20a4584-b808-4b63-9598-3793b112dae9 · outbound

This paper cites Neural controlled differential equations for irregular time series.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Neural controlled differential equations for irregular time series

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8e0ee12a-5858-4e8c-9224-608e08c4fbed · outbound

This paper cites Fourier neural operator for parametric partial differential equations.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Fourier neural operator for parametric partial differential equations

Reference 50

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bdd5ea37-01bc-4c10-9a46-f1d423d48374 · outbound

This paper cites Functional Whole-Brain Models: A New Framework for Unifying Brain Structure and Cognitive Function.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Functional Whole-Brain Models: A New Framework for Unifying Brain Structure and Cognitive Function

Reference 51

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verified exact
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 52f886f4-7bcc-47c9-88a5-defb29c49610 · outbound

This paper cites Fast and easy whole-brain network model parameter estimation with auto- matic differentiation.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Fast and easy whole-brain network model parameter estimation with auto- matic differentiation

Reference 52

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:18:46.470716Z digest=sha256:a96577259661aa833a00d0e8388f70318cbf8cc7d46929f18ac51b726605d6d4

Observation 2664e3aa-c68d-4bea-92bc-c74b87409b64 · outbound

This paper cites Training deep neural density estimators to identify mechanistic models of neural dynamics.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Training deep neural density estimators to identify mechanistic models of neural dynamics

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8f73313b-9349-4a99-ab6c-38bfde13e221 · outbound

This paper cites On structural and practical identifiability.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs On structural and practical identifiability

Reference 54

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source=pdf_text observed=2026-08-06T04:18:46.694058Z digest=sha256:0ee9c273d36d0409558d8c09a9bf72b4784b4ecfe4f7bdebb7c856e406fd1dfa

Observation f817700b-795e-4720-8bf0-c81083ee0cf6 · outbound

This paper cites A foundation model of vision, audition, and language for in-silico neuroscience.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs A foundation model of vision, audition, and language for in-silico neuroscience

Reference 55

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source=pdf_text observed=2026-08-06T04:18:46.794167Z digest=sha256:f58d056cc4a6e78e8743218ed5c9d61abd4e3b80d59240e8b6725e76f84423bd

Observation 5be0cb52-1341-485d-b7fe-1c8c4a119af3 · outbound

This paper cites Knowledge distillation: A survey.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Knowledge distillation: A survey

Reference 56

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Observation 547bd0e7-e450-44d0-8584-47bed11ec9a3 · outbound

This paper cites Multi-modal and multi-model interrogation of large-scale functional brain networks.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Multi-modal and multi-model interrogation of large-scale functional brain networks

Reference 57

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source=pdf_text observed=2026-08-06T04:18:47.011217Z digest=sha256:dcf779bd1e7f76e0d1ba98434e282d2e7d6da60e88f467343deb686f5b0f11fe

Observation 149b96f4-0377-43f6-936b-6bb75cf22351 · outbound

This paper cites Benchmarking methods for mapping functional connectivity in the brain.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Benchmarking methods for mapping functional connectivity in the brain

Reference 58

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Observation 7982a24b-b127-4fd4-957b-0d38812b199c · outbound

This paper cites Extracting interpretable signatures of whole-brain dynamics through systematic comparison.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Extracting interpretable signatures of whole-brain dynamics through systematic comparison

Reference 59

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:18:47.183545Z digest=sha256:4f0b2c1b0dbf920814f9ec2d1f1726229e222fc82212f92850f232ea71fc2ed1

Observation 09bf66a1-7e09-47a8-b38a-0df32cc5a44b · outbound

This paper cites Towards an efficient validation of dynamical whole-brain models.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Towards an efficient validation of dynamical whole-brain models

Reference 60

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:18:47.276773Z digest=sha256:401463950bb2c9a4d8c10865bc477d54df010916000df5a6cb6364c1e7433dbe

Observation 0c8e3c28-94c1-4c3e-bece-08bb597d079d · outbound

This paper cites Functional connectomics spanning multiple areas of mouse visual cortex.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Functional connectomics spanning multiple areas of mouse visual cortex

Reference 61

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source=pdf_text observed=2026-08-06T04:18:47.366364Z digest=sha256:7c1bf8602fd2c660ccc2950bb969d97ea45cb0005584351de0c9230092f98f06

Observation fe161d18-c34f-4389-bcfc-f18f09c57539 · outbound

This paper cites On the validity of neural mass models.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs On the validity of neural mass models

Reference 62

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raw_fallback, observed 2026-08-06T04:18:55.635853Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:18:47.456589Z digest=sha256:edc6682044e7e59c7a4c318b778c6ffe44afe36be78505f4688436ad8ac445cc

Observation bba8df65-d629-4712-bca7-2819773a54b1 · outbound

This paper cites Inference on the macroscopic dynamics of spiking neurons.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Inference on the macroscopic dynamics of spiking neurons

Reference 63

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:18:47.536964Z digest=sha256:dbb1f9c53c9e3903935b7254172c92e00decc7ac6c5cc5641a7b62dc608154d0

Observation 5e9e75e0-f48f-4c45-97b5-9cf8fe344ad3 · outbound

This paper cites NNMT: mean-field based analysis tools for neuronal network models.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs NNMT: mean-field based analysis tools for neuronal network models

Reference 64

Resolution
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raw_fallback, observed 2026-08-06T04:18:55.441353Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:18:47.621370Z digest=sha256:dada473ee65a75087e0a09bcd376c099a4d7ea8fce2494e4c4ee1cfda17b1b3e

Observation 4a4a7978-6a64-40a5-9403-97176014ef52 · outbound

This paper cites neurolib: A simulation framework for whole-brain neural mass modeling.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs neurolib: A simulation framework for whole-brain neural mass modeling

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:18:47.690454Z digest=sha256:06c4a1ce2aec372b45a90bf9174a795216f3910a77c85fb0e6b1ce2e22071aa0

Observation b453c743-e364-4d36-bf38-4463f985801d · outbound

This paper cites Virtual Brain Inference (VBI), a flexible and integrative toolkit for efficient probabilistic inference on whole-brain models.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Virtual Brain Inference (VBI), a flexible and integrative toolkit for efficient probabilistic inference on whole-brain models

Reference 66

Resolution
verified exact
doi, observed 2026-08-06T04:18:50.272792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:18:47.764809Z digest=sha256:789257d502a1b49f0a6db5212d0868bf9ce996fcbeecddfe8403fe89ea38b8a4

Observation 20474bd1-6acd-4765-865a-927ee117cd8d · outbound

This paper cites Roofline: an insightful visual perfor- mance model for multicore architectures.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Roofline: an insightful visual perfor- mance model for multicore architectures

Reference 67

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no resolver link, observed 2026-08-06T04:18:47.848455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:18:47.848455Z digest=sha256:0fe7ff4aa2c74117cedf22c815e328fa8f5cdbef32c0fab6ab4353452adec0e2

Observation f2e494b2-b870-4273-b9d1-0088259f274d · outbound

This paper cites Neuronal integration of synaptic input in the fluctuation-driven regime.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Neuronal integration of synaptic input in the fluctuation-driven regime

Reference 68

Resolution
verified exact
doi, observed 2026-08-06T04:18:50.097516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:18:47.933333Z digest=sha256:892f0365e912804d4cd3c422291b6c1f68d14ab9d6cbe4d4de65ec887d40852b

Observation 6b4d20e3-8d7d-4ecb-bf0e-0352ac75cd5e · outbound

This paper cites A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue

Reference 69

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no resolver link, observed 2026-08-06T04:18:48.042725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:18:48.042725Z digest=sha256:ef584bf8dde4964de14834bb380324f66fb9c5c74b33fcb2e86e0d94e8ba600d

Observation 4452daa4-01bf-42b5-a062-c0964c26839a · outbound

This paper cites A quantitative population model of whisker barrels: re-examining the Wilson-Cowan equations.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs A quantitative population model of whisker barrels: re-examining the Wilson-Cowan equations

Reference 70

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Source-reported events for the cited work

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Observation d1e81025-cb91-4f04-bb0e-ff35a43f5dde · outbound

This paper cites Resting-state functional connectivity emerges from structurally and dy- namically shaped slow linear fluctuations.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Resting-state functional connectivity emerges from structurally and dy- namically shaped slow linear fluctuations

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Observation 7d5b99f4-87fe-4625-9b19-04fab0c77912 · outbound

This paper cites Probabilistic decision making by slow reverberation in cortical circuits.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Probabilistic decision making by slow reverberation in cortical circuits

Reference 72

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Observation 4e6af621-5f7f-41e3-90e0-60a70ca2b09f · outbound

This paper cites Next generation neural population models.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Next generation neural population models

Reference 73

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Observation 9b0b326b-fdfb-4b11-9639-d671f1c9357d · outbound

This paper cites Population dynamics of spiking neurons: fast transients, asynchronous states, and locking.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Population dynamics of spiking neurons: fast transients, asynchronous states, and locking

Reference 74

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Observation ac1a35e1-fb86-4139-8b01-c3cff1f390cc · outbound

This paper cites Cambridge: Cambridge University Press, 2014.doi:10.1017/CBO9781107447615.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Cambridge: Cambridge University Press, 2014.doi:10.1017/CBO9781107447615

Reference 75

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Observation ce8c36d4-93ed-408e-a822-4c9f2f848aad · outbound

This paper cites On the simulation of large pop- ulations of neurons.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs On the simulation of large pop- ulations of neurons

Reference 77

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Observation 396f4e4a-6376-46dc-95fb-ddd138ef1b3b · outbound

This paper cites Which model to use for cortical spiking neurons?.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Which model to use for cortical spiking neurons?

Reference 78

Resolution
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Observation b8211785-9b70-4cca-b9c0-acaf7e9dc3dc · outbound

This paper cites Simulation of networks of spiking neurons: a review of tools and strategies.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Simulation of networks of spiking neurons: a review of tools and strategies

Reference 79

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Observation d53aa6ad-3d96-482d-b5e0-160d2d46ee57 · outbound

This paper cites Adaptive exponential integrate-and-fire model as an effective description of neuronal activity.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Adaptive exponential integrate-and-fire model as an effective description of neuronal activity

Reference 80

Resolution
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Observation 681eeb7d-ea3b-4d32-853b-369981a7f1cd · outbound

This paper cites Scaling Laws for Neural Language Models.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Scaling Laws for Neural Language Models

Reference 81

Resolution
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Observation 75226673-f444-41d1-b6d7-2544445e8521 · outbound

This paper cites Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs

Reference 104

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Pith citing papers

Observation 75226673-f444-41d1-b6d7-2544445e8521 · inbound

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs cites this paper.

Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs

Reference 104

Resolution
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