Paper Citation Record · LEDGER

ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.10906.

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

pith.paper-citation-record.v1
2408.10906 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:33.728199Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:43:15.415341Z

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 e7da46d3-a9cf-4dce-a68f-17a47e28101b · inbound

Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor cites this paper.

Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:33.728199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d6e135-2ba7-42ea-be32-c474524c3014 · inbound

RoboPearls: Editable Video Simulation for Robot Manipulation cites this paper.

RoboPearls: Editable Video Simulation for Robot Manipulation ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:29.215786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed333991-0534-4922-a591-a516b4a7ad54 · inbound

Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians cites this paper.

Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T05:40:03.606488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ee0b7ad-b2dd-4f7b-95de-f11021a4e47e · inbound

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling cites this paper.

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:27.756011Z

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 d6ee79b3-7293-4356-b22c-c8220b1e1ac5 · inbound

Learning Representations from 3D Gaussian Splats cites this paper.

Learning Representations from 3D Gaussian Splats ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:43:15.416903Z

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 0092e5ef-52b0-4b00-ba66-1cb4a8827fba · inbound

E3DGS: Unified Geometric-Photometric Equivariance for 3D Gaussian Splatting via Color-as-Geometry Embedding cites this paper.

E3DGS: Unified Geometric-Photometric Equivariance for 3D Gaussian Splatting via Color-as-Geometry Embedding ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T23:11:21.078843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.