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Paper Citation Record · LEDGER

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates

As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2602.01941.

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

pith.paper-citation-record.v1
2602.01941 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:34:26.864254Z

measured 33 of 33 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation d34c194c-34cb-4cbb-8460-f690e027eae8 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Relational inductive biases, deep learning, and graph networks

Reference 1

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Observation 145be7e3-35a8-4d69-9453-a1eadbc938a7 · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Scheduled sampling for sequence prediction with recurrent neural networks

Reference 2

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Observation 30ad716b-7414-475a-800e-9f7ce63c68d3 · outbound

This paper cites Message Passing Neural PDE Solvers.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Message Passing Neural PDE Solvers

Reference 3

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Observation dbc5c694-a805-445f-a2a9-396955412ea2 · outbound

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Unresolved cited work

Reference 4

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Observation d8c08c81-6b81-4c5e-a577-18ac63094d19 · outbound

This paper cites Phase-field models for microstructure evolution.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Phase-field models for microstructure evolution

Reference 5

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Observation 7fe95bf3-6808-48a1-a5e6-81d84b4acb0f · outbound

This paper cites S., Riley, P.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates S., Riley, P

Reference 6

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Observation 5e371672-3e2b-4e65-b99a-42130a038719 · outbound

This paper cites Towards Multi-spatiotemporal-scale Generalized PDE Modeling.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Reference 7

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Observation 93761ddc-1283-45a8-9b37-6db44daff15f · outbound

This paper cites Deep residual learning for image recognition.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Deep residual learning for image recognition

Reference 8

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Observation 860a6420-1eff-46e6-a7b9-4758e8502376 · outbound

This paper cites and Mitsume, N.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates and Mitsume, N

Reference 9

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Unresolved cited work

Reference 10

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Observation bcb0b614-aa68-48f2-bc49-61d07f4ef357 · outbound

This paper cites A., Alieva, A., Wang, Q., Brenner, M.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates A., Alieva, A., Wang, Q., Brenner, M

Reference 11

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Unresolved cited work

Reference 12

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Observation 6b6b3da5-5c59-4d4e-a225-a8e6e81ba21b · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Fourier Neural Operator for Parametric Partial Differential Equations

Reference 13

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This paper cites Learning chaotic dynamics in dissipative systems.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Learning chaotic dynamics in dissipative systems

Reference 14

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Unresolved cited work

Reference 15

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This paper cites PDE -refiner: Achieving accurate long rollouts with neural PDE solvers.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates PDE -refiner: Achieving accurate long rollouts with neural PDE solvers

Reference 16

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Observation 1dbb48f7-4bcc-4aae-9e42-08c02c42998a · outbound

This paper cites Neural Entropy-stable conservative flux form neural networks for learning hyperbolic conservation laws.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Neural Entropy-stable conservative flux form neural networks for learning hyperbolic conservation laws

Reference 17

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Observation 60bbd909-0cf5-4eaa-a364-123fbe48aa23 · outbound

This paper cites Decoupled Weight Decay Regularization.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Decoupled Weight Decay Regularization

Reference 18

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This paper cites Understanding the effective receptive field in deep convolutional neural networks.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Understanding the effective receptive field in deep convolutional neural networks

Reference 19

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This paper cites Deep energy-based modeling of discrete-time physics.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Deep energy-based modeling of discrete-time physics

Reference 20

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Observation 594a755b-4143-4f90-a971-26940d6439db · outbound

This paper cites Learning mesh-based simulation with graph networks.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Learning mesh-based simulation with graph networks

Reference 21

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This paper cites Finite Volume Neural Network: Modeling Subsurface Contaminant Transport.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Finite Volume Neural Network: Modeling Subsurface Contaminant Transport

Reference 22

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Unresolved cited work

Reference 23

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Unresolved cited work

Reference 24

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates A reduction of imitation learning and structured prediction to no-regret online learning

Reference 25

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Learning to simulate complex physics with graph networks

Reference 26

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Learning under laws: A constraint-projected neural PDE solver that eliminates hallucinations

Reference 27

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This paper cites The lattice B oltzmann method: Principles and practice.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates The lattice B oltzmann method: Principles and practice

Reference 28

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Unresolved cited work

Reference 29

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Towards the ultimate conservative difference scheme

Reference 30

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Learning the solution operator of parametric partial differential equations with physics-informed DeepONets

Reference 31

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates and Shu, C.-W

Reference 32

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FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates write newline

Reference 33

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Pith citing papers

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