Paper Citation Record · LEDGER

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2502.07615.

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

pith.paper-citation-record.v1
2502.07615 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:14:26.569595Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 646e2e16-2476-43d3-95d4-4bb1fbf92a03 · outbound

This paper cites NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.500744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36022240-c966-4bec-8424-117c5a3699ac · outbound

This paper cites Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.506387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a6f7f4f-2955-4de0-a88d-2479e44daaf2 · outbound

This paper cites Mesh-based Gaussian Splatting for Real-time Large-scale Deformation.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors Mesh-based Gaussian Splatting for Real-time Large-scale Deformation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.513279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5be8d80-c2bb-46f7-ae75-34786d842eb6 · outbound

This paper cites SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.520139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5cd4f68-0ae3-45ad-ae27-1661acf3b592 · outbound

This paper cites 2d gaussian splatting for geometrically accurate radiance fields.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors 2d gaussian splatting for geometrically accurate radiance fields

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-08-08T12:14:26.525952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56ad95b3-d1fc-4212-bcec-178e54750580 · outbound

This paper cites 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.536621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af6dead-5f48-4291-89b8-46e1553d5f25 · outbound

This paper cites The Replica Dataset: A Digital Replica of Indoor Spaces.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.542254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53f2e3ef-4882-4a68-90a8-13e6ceb00538 · outbound

This paper cites DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.548007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3a54581-3e04-40b1-8aa9-b97b9be4e0f1 · outbound

This paper cites GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.553829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 783f3fae-0f9f-4452-9178-938880adab5e · outbound

This paper cites SparseGS: Sparse View Synthesis using 3D Gaussian Splatting.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.559760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5c18006-2c2f-40a5-8c1e-1523ca875b7f · outbound

This paper cites Depth Anything V2.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors Depth Anything V2

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.564735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41cefe1a-2e6b-4ade-a93d-5461d7fb8052 · outbound

This paper cites MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.488585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34cd7aab-d631-4fc3-b4a9-13e8e48a1539 · outbound

This paper cites Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.569595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f45c631-a596-418a-b567-617cce3d64d1 · outbound

This paper cites PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.494814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb36b6a-a8ec-45c8-b3a7-be7038dae843 · outbound

This paper cites DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization.

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:26.530356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.