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Paper Citation Record · LEDGER

MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.16553.

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

pith.paper-citation-record.v1
2309.16553 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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T15:43:30.921025Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T22:34:07.246164Z

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 4cba06d8-4da3-4b98-97b5-157cead9f704 · inbound

You Only Gaussian Once: Controllable 3D Gaussian Splatting for Ultra-Densely Sampled Scenes cites this paper.

You Only Gaussian Once: Controllable 3D Gaussian Splatting for Ultra-Densely Sampled Scenes MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:34:07.248245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T22:29:53.186309Z digest=sha256:c81090c8bd8ae124ead37da1082b4e16169cb6465d3146ffe4010f748e1a04c8

Observation 92ad1807-8545-4264-8e1c-5a9928b0937f · inbound

You Only Gaussian Once: Controllable 3D Gaussian Splatting for Ultra-Densely Sampled Scenes cites this paper.

You Only Gaussian Once: Controllable 3D Gaussian Splatting for Ultra-Densely Sampled Scenes MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-15T11:26:27.477777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:26:27.477777Z digest=sha256:1cd016f7a9e406e31290874e8f3917639b4da4a7925875e2eba9e9d20b18c80e

Observation aeee025d-2e0c-4840-b595-8eea0f2518cd · inbound

You Only Gaussian Once: Controllable 3D Gaussian Splatting for Ultra-Densely Sampled Scenes cites this paper.

You Only Gaussian Once: Controllable 3D Gaussian Splatting for Ultra-Densely Sampled Scenes MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T15:43:30.921025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:43:30.921025Z digest=sha256:d6aa0aad7ffaa2f518ad60e9095e0c5ae004f18dc47ffc9f653fd410d0a53db0

Observation 28d99d91-7c28-4348-9ac1-d41fc17096c9 · inbound

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement cites this paper.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T16:34:23.347537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:34:23.347537Z digest=sha256:d1b55667d12c87fe47c0235cb5e2ec623ff5674711a297c59ef8190b47315eda