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Paper Citation Record · LEDGER

Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2303.03003.

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

pith.paper-citation-record.v1
2303.03003 v2

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 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:02:17.337166Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:49:48.322269Z

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 48287e75-2535-4a6f-95f1-1438bc87dc87 · inbound

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes cites this paper.

LeC$^2$O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T18:44:10.840036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:44:10.840036Z digest=sha256:6239c6547d8d5ea2846e68b1af678a1b761edecca5e3f9cc7df5f99df014cc0f

Observation 4a0f4872-0e8a-4ea9-834e-a4ce988f0813 · inbound

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes cites this paper.

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T17:47:46.788063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:47:46.788063Z digest=sha256:1fc77fe2f8a2fd5cf976ac2ac0d0512217a17201f74aba4b3301ab0a9f717f7e

Observation 5890b4ea-4de6-4b4b-8680-366cc50484f1 · inbound

Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework cites this paper.

Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T20:40:37.302564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:40:37.302564Z digest=sha256:cea764eb5ae591dad451050937303cdd21e4e2224098e6bf885e71f0f89692a0

Observation be2411d6-2d93-410e-941e-9366225843b6 · inbound

CoSurfGS:Collaborative 3D Surface Gaussian Splatting with Distributed Learning for Large Scene Reconstruction cites this paper.

CoSurfGS:Collaborative 3D Surface Gaussian Splatting with Distributed Learning for Large Scene Reconstruction Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T05:25:15.359244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:25:15.359244Z digest=sha256:7599f0e4cac0bb68ce725a18b33e09adff70b4eb2edffe1c825a80f39a24a269

Observation 9bb91575-090f-40f5-9457-ab3f6fe9183e · inbound

HUG: Hierarchical Urban Gaussian Splatting with Block-Based Reconstruction for Large-Scale Aerial Scenes cites this paper.

HUG: Hierarchical Urban Gaussian Splatting with Block-Based Reconstruction for Large-Scale Aerial Scenes Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T11:02:17.337166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:02:17.337166Z digest=sha256:7b40f64fbdd381f7cafb701611279b02060fefca54d7f04975a9d9b44ce46bab

Observation f52fec7c-4358-4f0c-9b65-92bfbdf07d5c · inbound

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields cites this paper.

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:59.686990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:59.686990Z digest=sha256:13b171e35807c08f357b9049b156e9bdcb4b90f234cf4b3c9d3a25d179f8f484

Observation a6fde006-503c-4e13-a313-7da9fb1a1243 · inbound

GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields cites this paper.

GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features

Reference 89

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:49:48.374875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:49:47.847955Z digest=sha256:505f231d8ee2b4e791d2e092573371514b8d54402724f9c329334fd78c54dfd8