Pith. sign in

Paper Citation Record · LEDGER

SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.10036.

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

pith.paper-citation-record.v1
2403.10036 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:45:07.728528Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:21:07.727348Z

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 5ef67fdf-89e1-4a74-aceb-9afa936f3b7b · inbound

SimPB++: Simultaneously Detecting 2D and 3D Objects from Multiple Cameras cites this paper.

SimPB++: Simultaneously Detecting 2D and 3D Objects from Multiple Cameras SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:21:07.731116Z

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.

source=pdf_text observed=2026-05-09T17:22:01.467937Z digest=sha256:02e50ee629a2a01ab948d051d252797ba316357be9c59f71c7b710f17aa4aafb

Observation 271f9de1-5abe-45da-a7f5-3980cd1f61e9 · inbound

3D Lane Detection with Odometry for High-Speed Vehicle Racing cites this paper.

3D Lane Detection with Odometry for High-Speed Vehicle Racing SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T02:45:07.728528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:45:07.728528Z digest=sha256:b2b62efc855761d5eaf7e6cabdecde3d5716222492283d2d5fc65a351fd853a4