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Paper Citation Record · LEDGER

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2505.18926.

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

pith.paper-citation-record.v1
2505.18926 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:29:35.731702Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:30:47.440595Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:57:45.430823Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy26
  • unresolved16
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30342504-ebb3-4642-8434-3f9e8ccde780 · outbound

This paper cites Layer Normalization.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Layer Normalization

Reference 1

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unresolved
no resolver link, observed 2026-08-07T14:29:32.562394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:32.562394Z digest=sha256:e7818904de925efdf844a115ce3032db19814638d7a0175651bf832b17c891a6

Observation 8e6d475a-f7a8-4781-81e2-f96c4971a55a · outbound

This paper cites Cfd simulation of pedestrian-level wind conditions around buildings: Past achievements and prospects.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Cfd simulation of pedestrian-level wind conditions around buildings: Past achievements and prospects

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:41.156488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:32.650701Z digest=sha256:db13eb6b667bbe4ea46b81abe604abb02fd5e54505b1c92eb22312f8af06c0be

Observation 74b0735b-48c3-4795-ab2d-33acac50bed6 · outbound

This paper cites Flip: A method for adaptively zoned, particle-in-cell calculations of fluid flows in two dimensions.Journal of Computational physics, 65(2):314–343, 1986.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Flip: A method for adaptively zoned, particle-in-cell calculations of fluid flows in two dimensions.Journal of Computational physics, 65(2):314–343, 1986

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:40.916282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:32.754467Z digest=sha256:f27d7b2bdd282b7047cb02a25b794fb37e90ad67327f3e36c65c55b54deeb631

Observation 4f6721a6-3521-4a26-a1b1-085201a1022e · outbound

This paper cites Message Passing Neural PDE Solvers.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Message Passing Neural PDE Solvers

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:32.880909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:32.880909Z digest=sha256:9af662ded1f6eb2ec7b54b6df1c881513cf27d9966060cbd5e1fbf5d55a48fe0

Observation f4f21fc0-beaa-4b84-9dae-44bae5ecc5e8 · outbound

This paper cites Fluid simulation for computer graphics.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Fluid simulation for computer graphics

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:32.949348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:32.949348Z digest=sha256:1db9dd2f81291a88b01437c4a82dcd3cdc178a0b26a655e23746bf89e9abd22e

Observation cae414d5-b0cc-4c02-9c29-15dc004e0db8 · outbound

This paper cites Fast approximate kNN graph construction for high dimensional data via recursive lanczos bisection.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Fast approximate kNN graph construction for high dimensional data via recursive lanczos bisection

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:40.717769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:33.035159Z digest=sha256:6d009e1a3a1013fc9cb5c31384c9917526714f15f6691daacaeacc33d3a18836

Observation 3090f595-2ac6-4755-b76f-e50ad80ce0f9 · outbound

This paper cites Learning meaningful controls for fluids.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Learning meaningful controls for fluids

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:40.396265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:33.098432Z digest=sha256:b5e1bf0ec258dbd85c497f6deeb84a5f44f65537068ef7c9592e6db4c0003688

Observation f18d8589-63d0-4528-9498-4e7ccd1f10f5 · outbound

This paper cites Efficient k-nearest neighbor graph construction for generic similarity measures.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Efficient k-nearest neighbor graph construction for generic similarity measures

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:40.052210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:33.164791Z digest=sha256:ef000141df27797a828400905933a0aadf4278d6a619bee6be190c34e9202333

Observation d7f52f0d-d939-447b-87a3-3617cddee4a1 · outbound

This paper cites FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:29:35.946607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:33.237507Z digest=sha256:168944af27c2f171e43ab95020cf841dc2b55e40fbd967c056c4f39164242b60

Observation bcf536b4-ad2b-45c9-b616-a6076c22974e · outbound

This paper cites Neurofluid: Fluid dynamics grounding with particle-driven neural radiance fields.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Neurofluid: Fluid dynamics grounding with particle-driven neural radiance fields

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:39.767417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:33.303342Z digest=sha256:974a27a4c72bddbb31942da408ac73dbe2ec6bb69a3c0923accbcef41adf5657

Observation 270dea8d-ede4-4bcc-ba23-348459957e0e · outbound

This paper cites Sparsectrl: Adding sparse controls to text-to-video diffusion models.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Sparsectrl: Adding sparse controls to text-to-video diffusion models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:39.520054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:33.370891Z digest=sha256:ba7d1951acf906e04b47ad749c26088e81c882a2b44b664edb698bff23a7869b

Observation 03e7a65c-1dc6-447a-bfaf-910d42472fe5 · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:33.469207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:33.469207Z digest=sha256:0a614fad5d5cfa0e2d53edbf71809fafd0329efcbf3f82a87b7dad1e0590e04a

Observation a506e06e-c558-43bd-a81d-38c074de08c7 · outbound

This paper cites Difftaichi: Differentiable programming for physical simulation.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Difftaichi: Differentiable programming for physical simulation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:39.334428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:33.539908Z digest=sha256:88a5000ca3f5614bf7c9d4ae612787e289653e432142683bc59eb5e0704b1d61

Observation 2556410f-f1d7-403a-a555-fa6671522593 · outbound

This paper cites Taichi: a language for high-performance computation on spatially sparse data structures.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Taichi: a language for high-performance computation on spatially sparse data structures

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:39.126975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:33.637659Z digest=sha256:ee4b5fe29aca6894898a8bb58328b7c424ecc050ab4fd3b9d3021123c773e928

Observation 1dab911a-ae82-412e-8825-beed2ba9e36a · outbound

This paper cites Freeman, and Frédo Durand.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Freeman, and Frédo Durand

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:38.889021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:33.748789Z digest=sha256:c4b05b15f73364ff89ea748a7886fe78740f0dfeadae2444e2a3ec60724bef57

Observation e066f464-6a24-4cf5-8fe7-ca39faeb7c0b · outbound

This paper cites PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:33.841204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:33.841204Z digest=sha256:202956152fc1eb9272d9acd59b7845db3953c7d57e58b04e60cc887929bcc850

Observation a89e9a24-44db-4473-8f20-dc39e6c32825 · outbound

This paper cites The affine particle-in-cell method.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time The affine particle-in-cell method

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:38.587191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bf433987-9c5a-4ce3-9e5c-c88e29dd29cb · outbound

This paper cites Accelerating particle and fluid simulations with differentiable graph networks for solving forward and inverse problems.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Accelerating particle and fluid simulations with differentiable graph networks for solving forward and inverse problems

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:38.240467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a48eae47-c949-4699-a783-5c9f8be08d5b · outbound

This paper cites GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:34.049690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.049690Z digest=sha256:a2f03bad95249466911ff9694526860db6cf34de31bc93d9af40e440fb10ead4

Observation 614aac47-6aa0-450f-ba96-7587974c94ed · outbound

This paper cites Mpmnet: A data-driven mpm framework for dynamic fluid-solid interaction.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Mpmnet: A data-driven mpm framework for dynamic fluid-solid interaction

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:37.862896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ffbe963d-b6c0-435e-a420-caea72c60d9c · outbound

This paper cites Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:34.175589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.175589Z digest=sha256:250c7108fe063278ce393356bd4860a20981b2cf912d43498e6c3af58460aa55

Observation bdb82acc-422f-424a-8a59-bdb628df4d05 · outbound

This paper cites Interactive localized liquid motion editing.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Interactive localized liquid motion editing

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:37.543191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c9de3d5d-112b-46fe-909c-beb5663c5d68 · outbound

This paper cites Scalable diffusion models with transformers.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Scalable diffusion models with transformers

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:34.318403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.318403Z digest=sha256:e7ed4d19c63a325ca00ec30f67b9ad62168926bbce2cf50495aa0f43424fb608

Observation 2582d593-8c0d-42d7-9e6f-3e13b83386aa · outbound

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

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Learning mesh- based simulation with graph networks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:37.407731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c6484183-a9cc-4014-9d78-985a9eb59b5e · outbound

This paper cites Controlling liquids using meshes.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Controlling liquids using meshes

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:37.180096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3317861d-c187-4059-8b86-82639951e41a · outbound

This paper cites A neural material point method for particle-based simulations.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time A neural material point method for particle-based simulations

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:37.040985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5810b7ab-2572-495f-bc5a-40c4d094bee9 · outbound

This paper cites Learning to simulate complex physics with graph networks.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Learning to simulate complex physics with graph networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:34.593771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.593771Z digest=sha256:de7cb6c7988281cf3d57662e07db01f8b62302b9de97f1d48a67b0f60b1c22b1

Observation 547eb00e-d999-4b9d-a686-f45f78298acb · outbound

This paper cites Particle-based liquid control using animation templates.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Particle-based liquid control using animation templates

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:36.937621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b02533f2-7ee6-495f-a63a-06883f1c5d79 · outbound

This paper cites Interactive cfd simulations with virtual reality to support learning in mixing.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Interactive cfd simulations with virtual reality to support learning in mixing

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:36.839973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:34.738445Z digest=sha256:0bfb8606b8008eb3b0e37f3e9bb58adad52c7f256015264c70e9a4ea10ce47cd

Observation 364c1c27-7e9d-48e9-9fe6-4e9b81b8d78f · outbound

This paper cites Stable fluids.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Stable fluids

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:36.739153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:34.817013Z digest=sha256:83c64af3adb73d610ca116e357a5c642eb7afd14a23b5bf6f6d7bac8e1d4d22d

Observation 1a07f012-354b-486c-81cf-83cdb86368db · outbound

This paper cites Visualizing large-scale and high- dimensional data.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Visualizing large-scale and high- dimensional data

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:36.641006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:34.870519Z digest=sha256:e72be34b2c188afa4baf3044394ecbb88ea6b96bfac2c56be7aaded1368cffab

Observation 187655bd-098d-486b-bce9-679b50b054d6 · outbound

This paper cites Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:34.914140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.914140Z digest=sha256:662fd064328b35e9a6defc0b7eb47e931f42b56ff1c724e7ca3fb6a9f84d1c47

Observation 9276b727-42c5-45a3-9c3c-07b0d7178776 · outbound

This paper cites From early virtual garment simulation to interactive fashion design.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time From early virtual garment simulation to interactive fashion design

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:36.516621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:34.956154Z digest=sha256:7a65a669abdcd7b0467f5bb493d34ffaa1a3e7b44124af22256f811c1bc1db27

Observation 0a5a504a-99df-4701-a41e-efccef0371cf · outbound

This paper cites Boximator: Generating Rich and Controllable Motions for Video Synthesis.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Boximator: Generating Rich and Controllable Motions for Video Synthesis

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:35.009332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:35.009332Z digest=sha256:3d7afe7060c1734bd7e3f07996119987e3add2e07a0add78d3a51b7e08dfb3b8

Observation a31e2d49-4a2d-487f-adf7-dce868c00556 · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Motionctrl: A unified and flexible motion controller for video generation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:35.094073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:35.094073Z digest=sha256:d48632335d77341a7fef8e2b0e3fc3d2cd54825bf66682379aee84982e124ff4

Observation 1d420756-6505-428c-ab82-5bd4a3e931cf · outbound

This paper cites Draganything: Motion control for anything using entity representation.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Draganything: Motion control for anything using entity representation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:36.412091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:35.227445Z digest=sha256:c057306b98b9f1e11c9cccc84a458e32c0a2921ea099b19b87856c9bc801cd4b

Observation 048a813f-1808-4578-b677-406f0371fd0d · outbound

This paper cites CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:35.312727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:35.312727Z digest=sha256:dec5c492a4857c1d370d39e23c670b1bb7731cddafc9874301e20b4e67a5da62

Observation 07e44520-63f3-4ccc-a120-d476ea9f596a · outbound

This paper cites Interactive liquid splash modeling by user sketches.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Interactive liquid splash modeling by user sketches

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:36.299413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:35.389692Z digest=sha256:726a56efdb85e7b5d9a46d9cb2addf03a5d213bff1f477cd6c8e619464e31280

Observation f0069fea-959e-45d4-8c3d-927a83182109 · outbound

This paper cites Direct-a-video: Customized video generation with user-directed camera movement and object motion.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Direct-a-video: Customized video generation with user-directed camera movement and object motion

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:36.196534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:35.509035Z digest=sha256:a86a1b8a4e3eac71361286e7f31ead33f414dfae923a0d38cc06bc174c62d385

Observation 07f3a55b-0e0d-4ee7-8fdf-6974d9fb5259 · outbound

This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:35.538160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:35.538160Z digest=sha256:e2ca973aef51d2845e04b2891d3391f5d3e40c9071449a6295fbc7930aadda67

Observation e52cad4e-fcc6-4045-bee8-3bc9da62dc2a · outbound

This paper cites Slimmable Neural Networks.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Slimmable Neural Networks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:35.585339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:35.585339Z digest=sha256:36413613273374f45680403099961911a708bfdce1ef7b068457089ec3595416

Observation 1af0a3d9-b631-4fcb-a3fb-b8b2b180c523 · outbound

This paper cites Tora: Trajectory-oriented Diffusion Transformer for Video Generation.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Tora: Trajectory-oriented Diffusion Transformer for Video Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:35.652433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:35.652433Z digest=sha256:b946e550b510a803d08c81f4d2a505cca6fa980d0534cfb4e08f9f2b5452b294

Observation 5fa3fc8e-550b-4561-a248-9400e6779e1f · outbound

This paper cites Motiondirector: Motion customization of text-to-video diffusion models.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time Motiondirector: Motion customization of text-to-video diffusion models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:36.074719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T14:29:35.731702Z digest=sha256:d66438ad5ebf8e4ccf7bb6955d544fcbeb94c9ef8c3e368658f1bdad0763adca

Pith citing papers

Observation ad5c6556-6158-4865-a198-ffb6ef1dd169 · inbound

Harnessing AI for Inverse Partial Differential Equation Problems: Past, Present, and Prospects cites this paper.

Harnessing AI for Inverse Partial Differential Equation Problems: Past, Present, and Prospects Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time

Reference 241

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:32:45.653137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T20:28:37.206593Z digest=sha256:88bc1219123da1d99b05f10875736b55613479e5250e8c48e65bf4b54026bc65

Observation 6ff044e2-5c91-4757-a026-b933e17ea63b · inbound

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement cites this paper.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:57:45.432579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T11:17:12.590198Z digest=sha256:204f9a2e424f2f37aff4ad91d7277374082fccc4289a11a6265bb730ff541f89

Observation 3622b3f7-74d4-4935-a865-c08142bc871b · inbound

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation cites this paper.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T00:30:47.440595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:30:47.440595Z digest=sha256:3b5c54db1c59e603b77f2045313cecb6f6cce9db3f6497e3efbde70d0a7af4f8