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Paper Citation Record · LEDGER

Evaluating Alternatives to SFM Point Cloud Initialization for Gaussian Splatting

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.12547.

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

pith.paper-citation-record.v1
2404.12547 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:54:17.471860Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:06:43.680440Z

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 609dc4b7-2240-4b23-a0b3-fac7ee6e1e81 · inbound

NeRF Is a Valuable Assistant for 3D Gaussian Splatting cites this paper.

NeRF Is a Valuable Assistant for 3D Gaussian Splatting Evaluating Alternatives to SFM Point Cloud Initialization for Gaussian Splatting

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T10:54:17.471860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:54:17.471860Z digest=sha256:5abdd943606d5d5dc9a714925250a5c499b46e3cb3db5426894c0ea24bdd2f50

Observation d3b7bedc-8c59-45c7-89da-6916bbbd8022 · inbound

The Role of Initialization in 3D Gaussian Splatting cites this paper.

The Role of Initialization in 3D Gaussian Splatting Evaluating Alternatives to SFM Point Cloud Initialization for Gaussian Splatting

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:25:12.424968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T07:24:49.414630Z digest=sha256:66b7835b9d0cb65161066488cf6021e3546a9b4b491dd2cc3c322655be562257

Observation e4f179f6-abf2-48d9-83ab-e296ee457296 · inbound

The Role of Initialization in 3D Gaussian Splatting cites this paper.

The Role of Initialization in 3D Gaussian Splatting Evaluating Alternatives to SFM Point Cloud Initialization for Gaussian Splatting

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T17:46:56.144907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:46:56.144907Z digest=sha256:f205717e828574489a6bca539be9b7e0efae5fb5277848b27dc7a8ceaf7db9f6

Observation 0d228aa6-7d0e-49ce-82b2-857937e6a726 · inbound

Kinematics-Driven Gaussian Shape Deformation for Blurry Monocular Dynamic Scenes cites this paper.

Kinematics-Driven Gaussian Shape Deformation for Blurry Monocular Dynamic Scenes Evaluating Alternatives to SFM Point Cloud Initialization for Gaussian Splatting

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:36:25.447519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-12T00:57:47.713600Z digest=sha256:1ee382e47df8a7a393c257e379947948d51ae6eebaa836cd16b71d1b61f1b5c9

Observation b704c60e-ecfc-457c-b0bb-bf39c73f8b4e · inbound

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models cites this paper.

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models Evaluating Alternatives to SFM Point Cloud Initialization for Gaussian Splatting

Reference 114

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:06:43.682031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T07:14:26.441339Z digest=sha256:be9ba02371e7c5dbc88b1479827ae026e197dcb390ae3118f332f678b8cd31fc