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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:08:58.865043Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T04:17:05.906282Z digest=sha256:05ee2092d35a3f50e62887b81fcf5e9a32dbab79bf922b89cfaf982086ff72cd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T07:32:39.047695Z digest=sha256:78766e7846c0ac8a548db8ba75867191af5848286f9953d11f0c3b783baa0a57

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.

source=pdf_text observed=2026-08-06T16:08:58.865043Z digest=sha256:3195cf68415b323df238fcf324840cf6c8681aebe894115bb9450f99de2d273e

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.

source=pdf_text observed=2026-08-06T04:37:25.229383Z digest=sha256:b8d86501e8c995f8a1f8577619c56b0983c2c814db2591dd31012e7717027909

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.

source=arxiv_source observed=2026-08-01T04:24:26.976263Z digest=sha256:f3e60d5b258de80bd77364e43113c07ef523280883f965b8bdf8b1c82e95bf5f