Paper Citation Record · LEDGER

DMesh++: An Efficient Differentiable Mesh for Complex Shapes

As of 14 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2412.16776.

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

pith.paper-citation-record.v1
2412.16776 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:20:15.709391Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:37:01.352710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:46:46.248899Z

Reference resolution

59 of 59 outbound references displayed

verified exact1
verified fuzzy37
unresolved19
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26cbace8-0538-441f-8112-abffb187595c · outbound

This paper cites Power diagrams: properties, algo- rithms and applications.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Power diagrams: properties, algo- rithms and applications

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.806118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0bf3c37d-7b7e-49cb-8417-640aeff31aea · outbound

This paper cites Continuous skele- ton computation by voronoi diagram.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Continuous skele- ton computation by voronoi diagram

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.780894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 48869006-1068-43bb-8979-80682659abfb · outbound

This paper cites Fast poisson disk sampling in arbitrary di- mensions.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Fast poisson disk sampling in arbitrary di- mensions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.750756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation de8ae025-8c3f-45b3-843b-be994b0500df · outbound

This paper cites Learn- ing to predict 3d objects with an interpolation-based differ- entiable renderer.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Learn- ing to predict 3d objects with an interpolation-based differ- entiable renderer

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.731219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c25277b-3af0-49c1-bd49-1e77b798db5c · outbound

This paper cites MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.390005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d3cfb55-ebbf-44be-ba7d-b984cb3f33ff · outbound

This paper cites MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.397386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71a77db8-663d-42bd-bf73-88baf8f618e2 · outbound

This paper cites Neural dual contouring.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Neural dual contouring

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.707005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ff818c52-a61a-43d1-ba1b-dfff02923fcc · outbound

This paper cites Delaunay mesh generation.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Delaunay mesh generation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.689889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8586f5e4-97f7-4879-8802-79887be92bb9 · outbound

This paper cites Meshlab: an open-source mesh processing tool.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Meshlab: an open-source mesh processing tool

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.673749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a506cfe2-5365-4ec2-8a5f-efd44c98e5ab · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Objaverse: A universe of annotated 3d objects

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.654426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae2934e1-abfb-460b-85f2-6c7044dad6f3 · outbound

This paper cites Variance reduction techniques for gradient estimates in rein- forcement learning.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Variance reduction techniques for gradient estimates in rein- forcement learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.635560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf2de444-de7d-4fc1-a4d6-075d59ce4f10 · outbound

This paper cites Meshudf: Fast and differentiable meshing of unsigned distance field networks.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Meshudf: Fast and differentiable meshing of unsigned distance field networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.608997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad0e119b-ff6b-4779-b964-5a66f965b1ed · outbound

This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.587763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ea143c26-4e67-477c-9c37-d784031ce8d3 · outbound

This paper cites 3D triangulations.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes 3D triangulations

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.555773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50181fbd-cdef-41ed-8610-7a8b47fefaf5 · outbound

This paper cites Large scale multi-view stereopsis eval- uation.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Large scale multi-view stereopsis eval- uation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.536204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b31b69f5-2596-4cf1-b452-6eb3452b21d8 · outbound

This paper cites Dual contouring of hermite data.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Dual contouring of hermite data

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.518497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f37e7995-c5ac-427c-8bea-5d8d2c8b70c5 · outbound

This paper cites Screened poisson sur- face reconstruction.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Screened poisson sur- face reconstruction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.500517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3dc68a7d-02e3-4d6a-a002-969954e57e54 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes 3d gaussian splatting for real-time radiance field rendering

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.481365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c5127575-465f-4caa-961f-9cf25dc7ecb6 · outbound

This paper cites Modular primitives for high-performance differentiable rendering.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Modular primitives for high-performance differentiable rendering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.458211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fc43cae8-e154-4b15-9ffd-27ca65a5a202 · outbound

This paper cites Deep march- ing cubes: Learning explicit surface representations.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Deep march- ing cubes: Learning explicit surface representations

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.438667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 60a87542-48d4-4cd2-b0fb-f731150929e1 · outbound

This paper cites Soft ras- terizer: A differentiable renderer for image-based 3d reason- ing.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Soft ras- terizer: A differentiable renderer for image-based 3d reason- ing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.421183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7624fcb5-dda3-4413-8f8c-fd22e71f52e1 · outbound

This paper cites Neudf: Leaning neural unsigned distance fields with volume rendering.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Neudf: Leaning neural unsigned distance fields with volume rendering

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.402852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e10bd677-5ae6-45d1-869e-c1fa6d825c80 · outbound

This paper cites Ghost on the Shell: An Expressive Representation of General 3D Shapes.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Ghost on the Shell: An Expressive Representation of General 3D Shapes

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:20:15.905916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9da7828-c099-4c02-9e7b-a1ff60aa3cb6 · outbound

This paper cites Neuraludf: Learning unsigned distance fields for multi-view reconstruction of surfaces with arbitrary topolo- gies.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Neuraludf: Learning unsigned distance fields for multi-view reconstruction of surfaces with arbitrary topolo- gies

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.386872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 066f0341-91c1-4bc5-bf91-a41adf537880 · outbound

This paper cites Marching cubes: A high resolution 3d surface construction algorithm.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Marching cubes: A high resolution 3d surface construction algorithm

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.503928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc3742f9-c1b3-4c65-975b-493a0a52f32d · outbound

This paper cites V oromesh: Learning water- tight surface meshes with voronoi diagrams.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes V oromesh: Learning water- tight surface meshes with voronoi diagrams

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.360505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9efe28d-f953-4876-b79d-1468cae2b5c6 · outbound

This paper cites Ponq: a neural qem-based mesh representation.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Ponq: a neural qem-based mesh representation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.344053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96ed475c-6d94-4622-95d0-5b1f9e293948 · outbound

This paper cites A level set theory for neural implicit evolution under 9 explicit flows.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes A level set theory for neural implicit evolution under 9 explicit flows

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.327185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d08c9706-6c17-43d2-b520-4a513e69a55a · outbound

This paper cites Extracting triangular 3d models, materials, and lighting from images.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Extracting triangular 3d models, materials, and lighting from images

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.310440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 807da8b2-d8ce-49b7-bd86-b811f0f36bf9 · outbound

This paper cites Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for? Queue, 6(2):40–53, 2008.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for? Queue, 6(2):40–53, 2008

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.294696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 633b3046-1c68-4cc7-a9e8-fc07c8fb2bb0 · outbound

This paper cites Large steps in inverse rendering of geometry.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Large steps in inverse rendering of geometry

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.278985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec29ccde-d8b6-417c-a636-f6f7dfa97eb6 · outbound

This paper cites Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.260989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b33c7fe7-2c2a-4dd7-ba2a-6c12f3fd2297 · outbound

This paper cites Continuous remeshing for inverse render- ing.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Continuous remeshing for inverse render- ing

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.243893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 22e7e07b-2e77-4a31-9961-8a2744d2f05a · outbound

This paper cites Deepsdf: Learning con- tinuous signed distance functions for shape representation.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Deepsdf: Learning con- tinuous signed distance functions for shape representation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.564236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eb4364a-3656-4b7c-98d6-0e88b360afa8 · outbound

This paper cites Automatic differentiation in pytorch.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Automatic differentiation in pytorch

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.569638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf5c826-a22e-4726-9f57-5f387a6559eb · outbound

This paper cites Illumination for computer generated pic- tures.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Illumination for computer generated pic- tures

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.205118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 833080e8-3e9e-495b-862e-67f8d4704ad5 · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Accelerating 3D Deep Learning with PyTorch3D

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.582409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c32190-c29e-4150-83bd-6194a698678b · outbound

This paper cites Deep marching tetrahedra: a hybrid repre- sentation for high-resolution 3d shape synthesis.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Deep marching tetrahedra: a hybrid repre- sentation for high-resolution 3d shape synthesis

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.588997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30e8f521-00dd-4915-a854-e5c030c6704b · outbound

This paper cites Flexible isosurface extraction for gradient-based mesh optimization.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Flexible isosurface extraction for gradient-based mesh optimization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.176366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 88b5bf95-21f7-4ea5-aa0e-88ffe68f08cb · outbound

This paper cites SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.600076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f5a129a-d160-42bc-ab7a-80d5fec877d3 · outbound

This paper cites Meshgpt: Generating triangle meshes with decoder-only transformers.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Meshgpt: Generating triangle meshes with decoder-only transformers

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.160225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d809e7e-7da0-41eb-9509-edd484828ec5 · outbound

This paper cites DMesh: A Differentiable Mesh Representation.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes DMesh: A Differentiable Mesh Representation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.611478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a7e77c9-a01c-47ec-8e71-17cf8bfb6d2a · outbound

This paper cites Visualizing data using t-sne.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Visualizing data using t-sne

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.128434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ffbfc4ff-e311-4ed7-9ae5-44c46ea71cb9 · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.630064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3146f6d7-a3b0-4cff-94eb-930dfdd05486 · outbound

This paper cites Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.111866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1576589a-6712-47a8-83b9-05719805f32b · outbound

This paper cites NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.642064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c91a6dc-7ef8-4e8f-bd87-e5bfe199d68d · outbound

This paper cites MeshLRM: Large Reconstruction Model for High-Quality Meshes.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes MeshLRM: Large Reconstruction Model for High-Quality Meshes

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.649402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7877adb5-8024-4b00-8d22-803df6f454b7 · outbound

This paper cites Simple statistical gradient-following al- gorithms for connectionist reinforcement learning.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Simple statistical gradient-following al- gorithms for connectionist reinforcement learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.096057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation edab6033-306e-4f67-a01d-5adcb12a59f3 · outbound

This paper cites V olume rendering of neural implicit surfaces.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes V olume rendering of neural implicit surfaces

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.661544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e590e073-efa2-4b74-8635-b07dd7ce48d8 · outbound

This paper cites Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.666053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49126a43-75d9-4b61-b47c-23c0678aafec · outbound

This paper cites Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets

Reference 51

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This paper cites Thingi10K: A Dataset of 10,000 3D-Printing Models.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Thingi10K: A Dataset of 10,000 3D-Printing Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T10:20:15.675887Z

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This paper cites Fully convolutional mesh autoencoder using efficient spatially varying kernels.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Fully convolutional mesh autoencoder using efficient spatially varying kernels

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.058967Z

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Observation 1ed73d16-5f12-4b78-af4d-09fcb8333121 · outbound

This paper cites an unresolved cited work.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Unresolved cited work

Reference 55

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This paper cites an unresolved cited work.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Unresolved cited work

Reference 56

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This paper cites imaginary.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes imaginary

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:20:16.006434Z

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This paper cites As discussed in Sec.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes As discussed in Sec

Reference 58

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Observation 9c9c34ae-efee-47c2-9ea3-1f14d5d1cbd8 · outbound

This paper cites cardinality.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes cardinality

Reference 59

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T10:20:15.966809Z

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This paper cites an unresolved cited work.

DMesh++: An Efficient Differentiable Mesh for Complex Shapes Unresolved cited work

Reference 2024

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Pith citing papers

Observation 3272f362-72df-46e4-969c-5de5105d9c67 · inbound

MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer cites this paper.

MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer DMesh++: An Efficient Differentiable Mesh for Complex Shapes

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:46:46.250258Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.