Paper Citation Record · LEDGER

Inferring processes within dynamic forest models using hybrid modeling

As of 18 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2508.01228.

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

pith.paper-citation-record.v1
2508.01228 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:50:01.947822Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

54 of 54 outbound references displayed

verified exact0
verified fuzzy15
unresolved39
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b0ccc03-5e2f-439e-893a-2c006fc00923 · outbound

This paper cites Kang, Generative ai-driven design optimization: eight key application scenarios, JMST Advances (2025) 1–7.

Inferring processes within dynamic forest models using hybrid modeling Kang, Generative ai-driven design optimization: eight key application scenarios, JMST Advances (2025) 1–7

Reference 1

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This paper cites an unresolved cited work.

Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 2

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Observation 5e864d99-0137-45f5-b9cf-b5f79f1c94b2 · outbound

This paper cites Data-Efficient Deep Operator Network for Unsteady Flow: A Multi-Fidelity Approach with Physics-Guided Subsampling.

Inferring processes within dynamic forest models using hybrid modeling Data-Efficient Deep Operator Network for Unsteady Flow: A Multi-Fidelity Approach with Physics-Guided Subsampling

Reference 3

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 4

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 5

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Observation 1745f3cd-375b-4cb2-92fe-eb98fbd5412e · outbound

This paper cites an unresolved cited work.

Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 6

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Observation 9e2bba97-bb7b-4b74-b1b8-c92aeaec3da0 · outbound

This paper cites Text2PDE: Latent Diffusion Models for Accessible Physics Simulation.

Inferring processes within dynamic forest models using hybrid modeling Text2PDE: Latent Diffusion Models for Accessible Physics Simulation

Reference 7

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Observation 17b0849b-df51-4b64-8604-177fb77e47c4 · outbound

This paper cites Jadhav, J.

Inferring processes within dynamic forest models using hybrid modeling Jadhav, J

Reference 8

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This paper cites an unresolved cited work.

Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 9

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Observation 015779cd-d18a-4b42-8de5-02dae0be8a70 · outbound

This paper cites Shin, A.-h.

Inferring processes within dynamic forest models using hybrid modeling Shin, A.-h

Reference 10

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Observation 5fb2d5b4-1487-42f9-8822-f8b91c2fe496 · outbound

This paper cites Cheng, L.

Inferring processes within dynamic forest models using hybrid modeling Cheng, L

Reference 11

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Observation f6086c18-8733-44f3-8889-18ca3d6f6417 · outbound

This paper cites an unresolved cited work.

Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 12

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Observation 8fb6e230-a183-4115-9a7b-d24ab84bb49d · outbound

This paper cites Kochkov, J.

Inferring processes within dynamic forest models using hybrid modeling Kochkov, J

Reference 13

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Observation f330204a-041c-4f14-9675-6634b6412f02 · outbound

This paper cites Skillful joint probabilistic weather forecasting from marginals.

Inferring processes within dynamic forest models using hybrid modeling Skillful joint probabilistic weather forecasting from marginals

Reference 14

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Observation 5f4123ac-1def-4b10-bbf3-d739bdb4f0e7 · outbound

This paper cites Ogoke, P.

Inferring processes within dynamic forest models using hybrid modeling Ogoke, P

Reference 15

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Observation b09b252b-a90a-4866-9d4c-ce8dd5c09f4b · outbound

This paper cites R ¨uhling Cachay, B.

Inferring processes within dynamic forest models using hybrid modeling R ¨uhling Cachay, B

Reference 16

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Observation 81feb02a-ca81-4427-9cfd-59286e85ceb8 · outbound

This paper cites Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation.

Inferring processes within dynamic forest models using hybrid modeling Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 17

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Observation 80879601-9d60-42bf-b71b-7587e922c79f · outbound

This paper cites an unresolved cited work.

Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 18

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Observation 1e0d4df3-07a9-4d92-bce1-85fd32915fb8 · outbound

This paper cites Jiang, G.

Inferring processes within dynamic forest models using hybrid modeling Jiang, G

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:50:02.580759Z

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Observation 7ddec257-542f-4b03-baa3-211ec6a9845e · outbound

This paper cites Pfa ff, M.

Inferring processes within dynamic forest models using hybrid modeling Pfa ff, M

Reference 20

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Observation 89beba6b-0a73-492c-a5e8-d3d5567f1550 · outbound

This paper cites MultiScale MeshGraphNets.

Inferring processes within dynamic forest models using hybrid modeling MultiScale MeshGraphNets

Reference 21

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Observation a02d3223-19b5-4033-98bb-58796d0811cc · outbound

This paper cites X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation.

Inferring processes within dynamic forest models using hybrid modeling X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation

Reference 22

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 23

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Observation 94ef70ef-bed0-4822-8470-27a5ee646143 · outbound

This paper cites an unresolved cited work.

Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 24

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Observation 0b6656df-3bff-4e46-af30-21cae3597a74 · outbound

This paper cites Predicting Physics in Mesh-reduced Space with Temporal Attention.

Inferring processes within dynamic forest models using hybrid modeling Predicting Physics in Mesh-reduced Space with Temporal Attention

Reference 25

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Observation e10ced2e-a9b1-4a75-b8f0-8df9059dbbc8 · outbound

This paper cites Alkin, A.

Inferring processes within dynamic forest models using hybrid modeling Alkin, A

Reference 26

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Observation 4b12ce6f-0030-436f-ae4b-2fe8695d3063 · outbound

This paper cites Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems.

Inferring processes within dynamic forest models using hybrid modeling Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems

Reference 27

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Observation 9deef56a-45d6-47f6-8d2d-419569392be3 · outbound

This paper cites Serrano, T.

Inferring processes within dynamic forest models using hybrid modeling Serrano, T

Reference 28

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Observation b612ff3e-9fca-476c-a335-f53a4b096827 · outbound

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 29

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 30

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 31

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 32

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Observation 570c6b3c-2738-4a78-b4d7-7209d5fb5527 · outbound

This paper cites Rahaman, A.

Inferring processes within dynamic forest models using hybrid modeling Rahaman, A

Reference 33

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Observation 4eac7818-5d17-4526-b4f3-d7ed42572ccb · outbound

This paper cites Oommen, A.

Inferring processes within dynamic forest models using hybrid modeling Oommen, A

Reference 34

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Observation 635d8315-8798-4908-84d4-65b480133ab8 · outbound

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 35

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Inferring processes within dynamic forest models using hybrid modeling Auto-Encoding Variational Bayes

Reference 36

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This paper cites Sohl-Dickstein, E.

Inferring processes within dynamic forest models using hybrid modeling Sohl-Dickstein, E

Reference 37

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Observation 2219e531-d366-4110-857d-8dc5b6b092bb · outbound

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 38

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Inferring processes within dynamic forest models using hybrid modeling Denoising Diffusion Implicit Models

Reference 39

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 40

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Observation 5255a4e9-77aa-437d-8342-bd6cc45e2811 · outbound

This paper cites Jiang, Z.

Inferring processes within dynamic forest models using hybrid modeling Jiang, Z

Reference 41

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 42

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Observation a01f75b9-c01e-4df4-943a-497efcd42a2a · outbound

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 43

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Observation 9da36e8d-0a19-4e0b-87ff-3b19968504e5 · outbound

This paper cites Ogoke, Q.

Inferring processes within dynamic forest models using hybrid modeling Ogoke, Q

Reference 44

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Observation 3588aa3d-6dbe-4bb4-a67f-7c28558b86bb · outbound

This paper cites Drygala, E.

Inferring processes within dynamic forest models using hybrid modeling Drygala, E

Reference 45

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 46

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 47

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Observation cc9a1fa0-a2f1-432c-92ad-5600b1ce2f54 · outbound

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

Inferring processes within dynamic forest models using hybrid modeling Fourier Neural Operator for Parametric Partial Differential Equations

Reference 48

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Observation 4ff6855d-1ce1-4664-8410-2e6a2551f080 · outbound

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Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 49

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Observation a4b81682-5284-4b8e-b40c-e09937d6ce5d · outbound

This paper cites Peebles, S.

Inferring processes within dynamic forest models using hybrid modeling Peebles, S

Reference 50

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Observation ad79c8c0-1991-454c-a4ee-f4a199947d0c · outbound

This paper cites Mildenhall, P.

Inferring processes within dynamic forest models using hybrid modeling Mildenhall, P

Reference 51

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Observation 40cb9ade-1338-4ace-8b34-f3490c2fbc83 · outbound

This paper cites DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics.

Inferring processes within dynamic forest models using hybrid modeling DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Reference 52

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Observation da8931c8-5ed5-41f4-af5e-ab62ef5cf134 · outbound

This paper cites von Platen, S.

Inferring processes within dynamic forest models using hybrid modeling von Platen, S

Reference 53

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6bbb4005-30cd-48c8-b723-b8378f27335b · outbound

This paper cites an unresolved cited work.

Inferring processes within dynamic forest models using hybrid modeling Unresolved cited work

Reference 54

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.