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Paper Citation Record · LEDGER

OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.07644.

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

pith.paper-citation-record.v1
2109.07644 v5

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:01:37.044089Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T17:48:04.254375Z

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 9aaa273e-6e61-41e3-9ae1-85f3616443e8 · inbound

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations cites this paper.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T20:01:37.044089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:01:37.044089Z digest=sha256:43b4db7d54aef7c10560db472c5015c1076afec6bbaee268e3726486afc013f5

Observation ff84ed8f-1e03-46a7-bf5a-ace0b761c82e · inbound

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios cites this paper.

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-11T17:48:04.258521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:48:03.929415Z digest=sha256:d2e56cf9899f2287f0b36fb0916fb66392d16fd6501270241feb5a81fe158b71