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Paper Citation Record · LEDGER

Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.14674.

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

pith.paper-citation-record.v1
2405.14674 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:57:14.372043Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T04:57:14.964010Z

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 30a98725-e60a-4813-ba36-58526aa2409a · inbound

Is Intermediate Fusion All You Need for UAV-based Collaborative Perception? cites this paper.

Is Intermediate Fusion All You Need for UAV-based Collaborative Perception? Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:57:14.970629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:57:14.372043Z digest=sha256:c778ab5c1e5d03efe2208debeb09bfbd63ffe99c0506bc1ca10b958ef6637509

Observation 91f1a6ad-6089-454a-84b3-dd36d94cb923 · inbound

DAPM: UAV Monocular Depth Estimation from Any Height, Pitch, Roll and FOV cites this paper.

DAPM: UAV Monocular Depth Estimation from Any Height, Pitch, Roll and FOV Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T07:32:47.819864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:32:47.819864Z digest=sha256:8d8491953ceef1d1b9c31fa6d594a09cf2ae636f7bb97fe04736b3724f992903