Pith. sign in

Paper Citation Record · LEDGER

SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.02571.

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

pith.paper-citation-record.v1
2410.02571 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:14.929751Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:48:12.783530Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a2816da3-3f0c-49c9-ade1-d25d7d816871 · inbound

GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution cites this paper.

GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:14.929751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:14.929751Z digest=sha256:339c4b62e3f1c4834670e343d084a85fdaa1c9d63f6dc75bface0b5745b82860

Observation de22a504-c81c-4f14-b7b0-392d9c3515ee · inbound

R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision cites this paper.

R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:51.082389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:47:51.082389Z digest=sha256:e55cf243c01c73f5e1aeab0c3f4be9b02e5c6e6e1bcbd7491848fca7e25f4d25

Observation 68758e96-153a-4d4c-8cb0-2097c5f9f187 · inbound

SPAGS: Sparse-View Articulated Object Reconstruction from Single State via Planar Gaussian Splatting cites this paper.

SPAGS: Sparse-View Articulated Object Reconstruction from Single State via Planar Gaussian Splatting SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:55:15.045137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T20:54:25.307274Z digest=sha256:88024f5bfce96d561b1e95fa0f6725fb9b12208a1bc8755885c5b3b078af8260

Observation cbd2c25d-5442-487a-bf99-a64ea5363db9 · inbound

SplatPainter: Interactive Authoring of 3D Gaussians from 2D Edits via Test-Time Training cites this paper.

SplatPainter: Interactive Authoring of 3D Gaussians from 2D Edits via Test-Time Training SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-03T18:25:59.608863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:25:59.608863Z digest=sha256:a70d18a81e7a269cc2956558273cb359131d42da9021e2ce78d7772702b0152e

Observation a522d32e-e599-4d34-8fcb-f28a08c37860 · inbound

GaussianZoom: Progressive Zoom-in Generative 3D Gaussian Splatting with Geometric and Semantic Guidance cites this paper.

GaussianZoom: Progressive Zoom-in Generative 3D Gaussian Splatting with Geometric and Semantic Guidance SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:48:12.785471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T10:46:53.131479Z digest=sha256:616f59ed0638abf4fda5842b0c99a875318c49b18910a0bbd860a82418940cc5

Observation c4009dd2-a9d4-4c41-996d-0ff34e3fbbee · inbound

MACRO: Training-free Multi-plane Attention for Closeup Render Optimization cites this paper.

MACRO: Training-free Multi-plane Attention for Closeup Render Optimization SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-11T23:19:53.043435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:19:53.043435Z digest=sha256:effd7ec23a5a6bf0192b174b1b9aca2dbb74caf7c942fe11a2d39648cc869cbf

Observation ddf3992a-c8fb-4107-8669-40c0a9e4fd6d · inbound

SubSplat: High-Resolution Pixel-aligned 3DGS via Sub-pixel Gaussian Reparameterization cites this paper.

SubSplat: High-Resolution Pixel-aligned 3DGS via Sub-pixel Gaussian Reparameterization SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T09:24:05.620895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:24:05.620895Z digest=sha256:0f17f3c2526d077b82a5d16eeb733ac8c1463d04caf1bb4ce206e40c7ed4c802