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Paper Citation Record · LEDGER

Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.01544.

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

pith.paper-citation-record.v1
2401.01544 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:40:49.398553Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:22:38.311700Z

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 2a0567ae-c445-4af5-9bb4-571ffa7da75a · inbound

GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection cites this paper.

GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:22:38.314835Z

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=2026-05-23T06:20:58.468472Z digest=sha256:a504184a3d32c36e10a29478f89aa3b539ed90fad7ea0d2abccef5c20d281b90

Observation e70fe31b-6fb1-4c3d-910b-d4617ffaf0ef · inbound

Generate Realistic Test Scenes for V2X Communication Systems cites this paper.

Generate Realistic Test Scenes for V2X Communication Systems Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.398553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.398553Z digest=sha256:ed98c0d61b75de02d79f61df9abaef80a8a3323956b18a4013b34382cdbb7090

Observation 3ff0ef2c-1e93-4e6b-8b7f-73314e6713df · inbound

Automated Vehicles Should be Connected with Natural Language cites this paper.

Automated Vehicles Should be Connected with Natural Language Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T21:48:55.551527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:48:55.551527Z digest=sha256:81c7bd5c18f1e1e2c246aa585c797c830294e86d16020368fff028f79e5cbb9b