Paper Citation Record · LEDGER

Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.05925.

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

pith.paper-citation-record.v1
2401.05925 v4

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 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:02:51.994418Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:18:54.168105Z

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 abbf72ff-300c-4c7d-9476-b7cd21436053 · inbound

A Survey on 3D Gaussian Splatting cites this paper.

A Survey on 3D Gaussian Splatting Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:18:54.171212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5159b56-f72a-4f90-a706-d45c56c4ac2f · inbound

SLGaussian: Fast Language Gaussian Splatting in Sparse Views cites this paper.

SLGaussian: Fast Language Gaussian Splatting in Sparse Views Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:51.994418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c96bad7e-824c-490d-8249-a9405d3f04b0 · inbound

LIVE-GS: LLM Powers Interactive VR Experience with Physics-Aware Gaussian Splatting cites this paper.

LIVE-GS: LLM Powers Interactive VR Experience with Physics-Aware Gaussian Splatting Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:32:42.690600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6c2c6ac-08ce-4c52-994b-f217546df626 · inbound

DCHM: Depth-Consistent Human Modeling for Multiview Detection cites this paper.

DCHM: Depth-Consistent Human Modeling for Multiview Detection Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:08:58.865043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0b6a5e1-14e6-4bdf-92a7-49438b423aea · inbound

The ALMA-QUARKS Survey: III. Clump-to-core fragmentation and search for high-mass starless cores cites this paper.

The ALMA-QUARKS Survey: III. Clump-to-core fragmentation and search for high-mass starless cores Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T04:37:25.229383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb0a8b22-9bec-470f-a73d-394ccf906a86 · inbound

4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans cites this paper.

4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T04:24:26.976263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.