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Paper Citation Record · LEDGER

LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.12899.

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

pith.paper-citation-record.v1
2409.12899 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:11:44.729533Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:52:53.922250Z

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 51511c68-195c-4107-8584-d8bd41ec953e · inbound

PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map cites this paper.

PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T18:11:44.729533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:11:44.729533Z digest=sha256:79b23117fc75e08489dedaf95a9ced442bb3f7fc9abb319763a99cdc02bf30de

Observation 6f9a38c7-6cbb-4c38-aad7-e8233504271e · inbound

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes cites this paper.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:52:53.928073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:52:50.958999Z digest=sha256:5bbc5fe92217bcc42323ed3a59988301a40007e50a24c904b5003c1166d18543

Observation 93a6ee4b-e017-451c-8939-c4970d9e5a05 · inbound

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting cites this paper.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T18:57:24.660153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:57:24.660153Z digest=sha256:3e45f3e333254a2342a5f50752bd5e15577c8991c83e4d7f281c91429009b386

Observation d3d7e8a6-b762-4dff-a743-cfd1b8dbf3be · inbound

G$^2$ARD-GS: Geometry-Guided Anchor-Regularized Gaussian Splatting Distillation cites this paper.

G$^2$ARD-GS: Geometry-Guided Anchor-Regularized Gaussian Splatting Distillation LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T00:49:38.123318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:38.123318Z digest=sha256:58be7c8185d8f4373ea235bb2041d1c4a9c6dbca18c2aa84a5389524b615da71