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Paper Citation Record · LEDGER

RadSegNet: A Reliable Approach to Radar Camera Fusion

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2208.03849.

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

pith.paper-citation-record.v1
2208.03849 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T05:30:04.016376Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:25:41.997324Z

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 6baa7fbc-723d-4d04-8975-e26fdd579dc5 · inbound

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation cites this paper.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation RadSegNet: A Reliable Approach to Radar Camera Fusion

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:25:41.998733Z

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=2026-07-01T05:30:04.016376Z digest=sha256:4d6546689e126902ce320987c535446d56f96969267683132efd49f2c563e928