Paper Citation Record · LEDGER

Spectrally Pruned Gaussian Fields with Neural Compensation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.00676.

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

pith.paper-citation-record.v1
2405.00676 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:43:27.365315Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:09:22.962069Z

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 3acae069-a9e5-4ad9-8660-402d0202892d · inbound

Data Diversification Methods In Alignment Enhance Math Performance In LLMs cites this paper.

Data Diversification Methods In Alignment Enhance Math Performance In LLMs Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:43:27.365315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58b1c617-1dc6-4c0d-ba0e-6e507fadebf4 · inbound

SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting cites this paper.

SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:46.170230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c35fdf05-abff-4a24-9952-13cc2a8d2ca6 · inbound

TreeGaussian: Tree-Guided Cascaded Contrastive Learning for Hierarchical Consistent 3D Gaussian Scene Segmentation and Understanding cites this paper.

TreeGaussian: Tree-Guided Cascaded Contrastive Learning for Hierarchical Consistent 3D Gaussian Scene Segmentation and Understanding Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:18:29.580215Z

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.

Observation a167707c-f64f-49a0-984d-c07f549d6a3f · inbound

Splaxel: Efficient Distributed Training of 3D Gaussian Splatting for Large-scale Scene Reconstruction via Pixel-level Communication cites this paper.

Splaxel: Efficient Distributed Training of 3D Gaussian Splatting for Large-scale Scene Reconstruction via Pixel-level Communication Spectrally Pruned Gaussian Fields with Neural Compensation

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:09:22.963742Z

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.