Paper Citation Record · LEDGER

RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.11836.

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

pith.paper-citation-record.v1
2406.11836 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:16:17.456770Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:32:43.830565Z

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 e322c139-fb92-4000-a351-fe2ad37149be · inbound

Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction cites this paper.

Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:17.456770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69b0505-8927-407e-a653-64b2d691fe6c · inbound

Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting cites this paper.

Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:42.040459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba3dfcb-197d-49e6-a209-1736143de50e · inbound

FlexGaussian: Flexible and Cost-Effective Training-Free Compression for 3D Gaussian Splatting cites this paper.

FlexGaussian: Flexible and Cost-Effective Training-Free Compression for 3D Gaussian Splatting RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:02:36.457600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e5c45c-050d-4d8e-b2e3-27bb0b459e01 · inbound

TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization cites this paper.

TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:43:05.504044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50a4de67-68d9-4a9a-9cb3-083b42702b95 · inbound

HiGS: A Hierarchical Rendering Architecture for Real-Time 3D Gaussian Splatting cites this paper.

HiGS: A Hierarchical Rendering Architecture for Real-Time 3D Gaussian Splatting RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:43.832347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae58e776-cc94-4882-bf09-f4155bd85120 · inbound

TemporalGS: Training-Free Plug-and-Play Acceleration for 3D Gaussian Splatting Rendering via Temporal Priors cites this paper.

TemporalGS: Training-Free Plug-and-Play Acceleration for 3D Gaussian Splatting Rendering via Temporal Priors RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T02:50:56.040913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.