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Paper Citation Record · LEDGER

GauU-Scene V2: Assessing the Reliability of Image-Based Metrics with Expansive Lidar Image Dataset Using 3DGS and NeRF

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.04880.

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

pith.paper-citation-record.v1
2404.04880 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:54:08.284753Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:54:20.934235Z

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 49f3c500-ddf9-4989-8859-d16cb19b7fd1 · inbound

Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting cites this paper.

Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting GauU-Scene V2: Assessing the Reliability of Image-Based Metrics with Expansive Lidar Image Dataset Using 3DGS and NeRF

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T13:54:08.284753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:54:08.284753Z digest=sha256:c36367d53a11bb92c99d4443cd4faab7e3ef74497eda50cb8e3048bb0cbe4ffa

Observation f4f2f5d3-4ba8-492b-94c3-cff091262593 · inbound

MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenes cites this paper.

MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenes GauU-Scene V2: Assessing the Reliability of Image-Based Metrics with Expansive Lidar Image Dataset Using 3DGS and NeRF

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:24:09.849255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T06:22:18.157688Z digest=sha256:b991f9b9723545b5e94a7e57e573e8ad911c34c39b1d2e18cd971e73651666e8

Observation 2fc43bca-a9d7-4742-be4d-aef91a7f5120 · inbound

Beyond a Single Light: A Large-Scale Aerial Dataset for Urban Scene Reconstruction Under Varying Illumination cites this paper.

Beyond a Single Light: A Large-Scale Aerial Dataset for Urban Scene Reconstruction Under Varying Illumination GauU-Scene V2: Assessing the Reliability of Image-Based Metrics with Expansive Lidar Image Dataset Using 3DGS and NeRF

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-03T16:17:57.968889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:17:57.968889Z digest=sha256:49c5e7bd3a7d766d93fb5f5c2bdadc81aad95a5d15e178fb02aaaf4aa764e5e4

Observation a47124cc-ff57-4756-8cc3-afdc93408f4c · inbound

ProDiG: Progressive Diffusion-Guided Gaussian Splatting for Aerial to Ground Reconstruction cites this paper.

ProDiG: Progressive Diffusion-Guided Gaussian Splatting for Aerial to Ground Reconstruction GauU-Scene V2: Assessing the Reliability of Image-Based Metrics with Expansive Lidar Image Dataset Using 3DGS and NeRF

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:03:20.401536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T22:01:55.438767Z digest=sha256:886c75f0eccb0eaa5e70507d523f479c67a0f479a78fe2302a779e2f53495c4e

Observation 14e95e0c-a2a4-4bf2-b79d-91a66366adf1 · inbound

LSGS-Loc: Towards Robust 3DGS-Based Visual Localization for Large-Scale UAV Scenarios cites this paper.

LSGS-Loc: Towards Robust 3DGS-Based Visual Localization for Large-Scale UAV Scenarios GauU-Scene V2: Assessing the Reliability of Image-Based Metrics with Expansive Lidar Image Dataset Using 3DGS and NeRF

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:45:48.218132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:36:53.221704Z digest=sha256:7b2103a31a758874efe0a4ca3997333b4ecbf3ad66eab25628f9268766b14097

Observation fdf7a2e8-57ea-46f3-b81e-44d21176a15e · inbound

Efficient Transceiver Design for Aerial Image Transmission and Large-scale Scene Reconstruction cites this paper.

Efficient Transceiver Design for Aerial Image Transmission and Large-scale Scene Reconstruction GauU-Scene V2: Assessing the Reliability of Image-Based Metrics with Expansive Lidar Image Dataset Using 3DGS and NeRF

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:06:01.797142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:40:01.609838Z digest=sha256:500f51938ffffd610ca12e3cda93719fcf4f3da6c8357c6e055f57a2cfb55996

Observation bf155cef-04f2-44d8-928d-c7af0490f05e · inbound

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World cites this paper.

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World GauU-Scene V2: Assessing the Reliability of Image-Based Metrics with Expansive Lidar Image Dataset Using 3DGS and NeRF

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:54:20.935885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T06:46:21.941055Z digest=sha256:47741b34e119f3272733fe65987c861146f631f0ec99c9ea6bd85fbc8429f406

Observation c7b5d835-eff5-4efb-8004-86626647439d · inbound

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World cites this paper.

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World GauU-Scene V2: Assessing the Reliability of Image-Based Metrics with Expansive Lidar Image Dataset Using 3DGS and NeRF

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-02T09:41:02.771887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:41:02.771887Z digest=sha256:fe20d924df0532e350e80ff708b391da49f5bf37174d7ac9c6a9ce1e9bcaca9d