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Paper Citation Record · LEDGER

GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.14108.

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

pith.paper-citation-record.v1
2407.14108 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:42:16.798729Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:37:03.173050Z

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 3b91fb9a-7d1d-4814-ba3b-5ba9ddd73b4e · inbound

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving cites this paper.

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:16.798729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:16.798729Z digest=sha256:8de53f83b10f213f0a3dd9e7ac6f4dbec32577bfccce306a59e14e0084a110be

Observation 277b9bdb-5704-4ae9-ba53-2805cf53e68a · inbound

GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception cites this paper.

GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T14:37:03.174768Z

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=2026-07-02T14:29:03.775107Z digest=sha256:5d359723822c3470fa9cb0c6c5c2a1d763c95b1736990767e578aea2f913012a